Package cloud.google.com/go/aiplatform/apiv1/aiplatformpb (v1.41.0)

Version 1.41.0

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Note: To get more information about this package, such as access to older versions, view this package on pkg.go.dev.

Variables

AcceleratorType_name, AcceleratorType_value

var (
	AcceleratorType_name = map[int32]string{
		0:  "ACCELERATOR_TYPE_UNSPECIFIED",
		1:  "NVIDIA_TESLA_K80",
		2:  "NVIDIA_TESLA_P100",
		3:  "NVIDIA_TESLA_V100",
		4:  "NVIDIA_TESLA_P4",
		5:  "NVIDIA_TESLA_T4",
		8:  "NVIDIA_TESLA_A100",
		11: "NVIDIA_L4",
		6:  "TPU_V2",
		7:  "TPU_V3",
		10: "TPU_V4_POD",
	}
	AcceleratorType_value = map[string]int32{
		"ACCELERATOR_TYPE_UNSPECIFIED": 0,
		"NVIDIA_TESLA_K80":             1,
		"NVIDIA_TESLA_P100":            2,
		"NVIDIA_TESLA_V100":            3,
		"NVIDIA_TESLA_P4":              4,
		"NVIDIA_TESLA_T4":              5,
		"NVIDIA_TESLA_A100":            8,
		"NVIDIA_L4":                    11,
		"TPU_V2":                       6,
		"TPU_V3":                       7,
		"TPU_V4_POD":                   10,
	}
)

Enum value maps for AcceleratorType.

Artifact_State_name, Artifact_State_value

var (
	Artifact_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "PENDING",
		2: "LIVE",
	}
	Artifact_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"PENDING":           1,
		"LIVE":              2,
	}
)

Enum value maps for Artifact_State.

SampleConfig_SampleStrategy_name, SampleConfig_SampleStrategy_value

var (
	SampleConfig_SampleStrategy_name = map[int32]string{
		0: "SAMPLE_STRATEGY_UNSPECIFIED",
		1: "UNCERTAINTY",
	}
	SampleConfig_SampleStrategy_value = map[string]int32{
		"SAMPLE_STRATEGY_UNSPECIFIED": 0,
		"UNCERTAINTY":                 1,
	}
)

Enum value maps for SampleConfig_SampleStrategy.

EvaluatedAnnotation_EvaluatedAnnotationType_name, EvaluatedAnnotation_EvaluatedAnnotationType_value

var (
	EvaluatedAnnotation_EvaluatedAnnotationType_name = map[int32]string{
		0: "EVALUATED_ANNOTATION_TYPE_UNSPECIFIED",
		1: "TRUE_POSITIVE",
		2: "FALSE_POSITIVE",
		3: "FALSE_NEGATIVE",
	}
	EvaluatedAnnotation_EvaluatedAnnotationType_value = map[string]int32{
		"EVALUATED_ANNOTATION_TYPE_UNSPECIFIED": 0,
		"TRUE_POSITIVE":                         1,
		"FALSE_POSITIVE":                        2,
		"FALSE_NEGATIVE":                        3,
	}
)

Enum value maps for EvaluatedAnnotation_EvaluatedAnnotationType.

ErrorAnalysisAnnotation_QueryType_name, ErrorAnalysisAnnotation_QueryType_value

var (
	ErrorAnalysisAnnotation_QueryType_name = map[int32]string{
		0: "QUERY_TYPE_UNSPECIFIED",
		1: "ALL_SIMILAR",
		2: "SAME_CLASS_SIMILAR",
		3: "SAME_CLASS_DISSIMILAR",
	}
	ErrorAnalysisAnnotation_QueryType_value = map[string]int32{
		"QUERY_TYPE_UNSPECIFIED": 0,
		"ALL_SIMILAR":            1,
		"SAME_CLASS_SIMILAR":     2,
		"SAME_CLASS_DISSIMILAR":  3,
	}
)

Enum value maps for ErrorAnalysisAnnotation_QueryType.

Event_Type_name, Event_Type_value

var (
	Event_Type_name = map[int32]string{
		0: "TYPE_UNSPECIFIED",
		1: "INPUT",
		2: "OUTPUT",
	}
	Event_Type_value = map[string]int32{
		"TYPE_UNSPECIFIED": 0,
		"INPUT":            1,
		"OUTPUT":           2,
	}
)

Enum value maps for Event_Type.

Execution_State_name, Execution_State_value

var (
	Execution_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "NEW",
		2: "RUNNING",
		3: "COMPLETE",
		4: "FAILED",
		5: "CACHED",
		6: "CANCELLED",
	}
	Execution_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"NEW":               1,
		"RUNNING":           2,
		"COMPLETE":          3,
		"FAILED":            4,
		"CACHED":            5,
		"CANCELLED":         6,
	}
)

Enum value maps for Execution_State.

ExamplesOverride_DataFormat_name, ExamplesOverride_DataFormat_value

var (
	ExamplesOverride_DataFormat_name = map[int32]string{
		0: "DATA_FORMAT_UNSPECIFIED",
		1: "INSTANCES",
		2: "EMBEDDINGS",
	}
	ExamplesOverride_DataFormat_value = map[string]int32{
		"DATA_FORMAT_UNSPECIFIED": 0,
		"INSTANCES":               1,
		"EMBEDDINGS":              2,
	}
)

Enum value maps for ExamplesOverride_DataFormat.

ExplanationMetadata_InputMetadata_Encoding_name, ExplanationMetadata_InputMetadata_Encoding_value

var (
	ExplanationMetadata_InputMetadata_Encoding_name = map[int32]string{
		0: "ENCODING_UNSPECIFIED",
		1: "IDENTITY",
		2: "BAG_OF_FEATURES",
		3: "BAG_OF_FEATURES_SPARSE",
		4: "INDICATOR",
		5: "COMBINED_EMBEDDING",
		6: "CONCAT_EMBEDDING",
	}
	ExplanationMetadata_InputMetadata_Encoding_value = map[string]int32{
		"ENCODING_UNSPECIFIED":   0,
		"IDENTITY":               1,
		"BAG_OF_FEATURES":        2,
		"BAG_OF_FEATURES_SPARSE": 3,
		"INDICATOR":              4,
		"COMBINED_EMBEDDING":     5,
		"CONCAT_EMBEDDING":       6,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Encoding.

ExplanationMetadata_InputMetadata_Visualization_Type_name, ExplanationMetadata_InputMetadata_Visualization_Type_value

var (
	ExplanationMetadata_InputMetadata_Visualization_Type_name = map[int32]string{
		0: "TYPE_UNSPECIFIED",
		1: "PIXELS",
		2: "OUTLINES",
	}
	ExplanationMetadata_InputMetadata_Visualization_Type_value = map[string]int32{
		"TYPE_UNSPECIFIED": 0,
		"PIXELS":           1,
		"OUTLINES":         2,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_Type.

ExplanationMetadata_InputMetadata_Visualization_Polarity_name, ExplanationMetadata_InputMetadata_Visualization_Polarity_value

var (
	ExplanationMetadata_InputMetadata_Visualization_Polarity_name = map[int32]string{
		0: "POLARITY_UNSPECIFIED",
		1: "POSITIVE",
		2: "NEGATIVE",
		3: "BOTH",
	}
	ExplanationMetadata_InputMetadata_Visualization_Polarity_value = map[string]int32{
		"POLARITY_UNSPECIFIED": 0,
		"POSITIVE":             1,
		"NEGATIVE":             2,
		"BOTH":                 3,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_Polarity.

ExplanationMetadata_InputMetadata_Visualization_ColorMap_name, ExplanationMetadata_InputMetadata_Visualization_ColorMap_value

var (
	ExplanationMetadata_InputMetadata_Visualization_ColorMap_name = map[int32]string{
		0: "COLOR_MAP_UNSPECIFIED",
		1: "PINK_GREEN",
		2: "VIRIDIS",
		3: "RED",
		4: "GREEN",
		6: "RED_GREEN",
		5: "PINK_WHITE_GREEN",
	}
	ExplanationMetadata_InputMetadata_Visualization_ColorMap_value = map[string]int32{
		"COLOR_MAP_UNSPECIFIED": 0,
		"PINK_GREEN":            1,
		"VIRIDIS":               2,
		"RED":                   3,
		"GREEN":                 4,
		"RED_GREEN":             6,
		"PINK_WHITE_GREEN":      5,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_ColorMap.

ExplanationMetadata_InputMetadata_Visualization_OverlayType_name, ExplanationMetadata_InputMetadata_Visualization_OverlayType_value

var (
	ExplanationMetadata_InputMetadata_Visualization_OverlayType_name = map[int32]string{
		0: "OVERLAY_TYPE_UNSPECIFIED",
		1: "NONE",
		2: "ORIGINAL",
		3: "GRAYSCALE",
		4: "MASK_BLACK",
	}
	ExplanationMetadata_InputMetadata_Visualization_OverlayType_value = map[string]int32{
		"OVERLAY_TYPE_UNSPECIFIED": 0,
		"NONE":                     1,
		"ORIGINAL":                 2,
		"GRAYSCALE":                3,
		"MASK_BLACK":               4,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_OverlayType.

Feature_ValueType_name, Feature_ValueType_value

var (
	Feature_ValueType_name = map[int32]string{
		0:  "VALUE_TYPE_UNSPECIFIED",
		1:  "BOOL",
		2:  "BOOL_ARRAY",
		3:  "DOUBLE",
		4:  "DOUBLE_ARRAY",
		9:  "INT64",
		10: "INT64_ARRAY",
		11: "STRING",
		12: "STRING_ARRAY",
		13: "BYTES",
	}
	Feature_ValueType_value = map[string]int32{
		"VALUE_TYPE_UNSPECIFIED": 0,
		"BOOL":                   1,
		"BOOL_ARRAY":             2,
		"DOUBLE":                 3,
		"DOUBLE_ARRAY":           4,
		"INT64":                  9,
		"INT64_ARRAY":            10,
		"STRING":                 11,
		"STRING_ARRAY":           12,
		"BYTES":                  13,
	}
)

Enum value maps for Feature_ValueType.

Feature_MonitoringStatsAnomaly_Objective_name, Feature_MonitoringStatsAnomaly_Objective_value

var (
	Feature_MonitoringStatsAnomaly_Objective_name = map[int32]string{
		0: "OBJECTIVE_UNSPECIFIED",
		1: "IMPORT_FEATURE_ANALYSIS",
		2: "SNAPSHOT_ANALYSIS",
	}
	Feature_MonitoringStatsAnomaly_Objective_value = map[string]int32{
		"OBJECTIVE_UNSPECIFIED":   0,
		"IMPORT_FEATURE_ANALYSIS": 1,
		"SNAPSHOT_ANALYSIS":       2,
	}
)

Enum value maps for Feature_MonitoringStatsAnomaly_Objective.

Featurestore_State_name, Featurestore_State_value

var (
	Featurestore_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "STABLE",
		2: "UPDATING",
	}
	Featurestore_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"STABLE":            1,
		"UPDATING":          2,
	}
)

Enum value maps for Featurestore_State.

FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_name, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_value

var (
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "DEFAULT",
		2: "ENABLED",
		3: "DISABLED",
	}
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"DEFAULT":           1,
		"ENABLED":           2,
		"DISABLED":          3,
	}
)

Enum value maps for FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State.

FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_name, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_value

var (
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_name = map[int32]string{
		0: "BASELINE_UNSPECIFIED",
		1: "LATEST_STATS",
		2: "MOST_RECENT_SNAPSHOT_STATS",
		3: "PREVIOUS_IMPORT_FEATURES_STATS",
	}
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_value = map[string]int32{
		"BASELINE_UNSPECIFIED":           0,
		"LATEST_STATS":                   1,
		"MOST_RECENT_SNAPSHOT_STATS":     2,
		"PREVIOUS_IMPORT_FEATURES_STATS": 3,
	}
)

Enum value maps for FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline.

Index_IndexUpdateMethod_name, Index_IndexUpdateMethod_value

var (
	Index_IndexUpdateMethod_name = map[int32]string{
		0: "INDEX_UPDATE_METHOD_UNSPECIFIED",
		1: "BATCH_UPDATE",
		2: "STREAM_UPDATE",
	}
	Index_IndexUpdateMethod_value = map[string]int32{
		"INDEX_UPDATE_METHOD_UNSPECIFIED": 0,
		"BATCH_UPDATE":                    1,
		"STREAM_UPDATE":                   2,
	}
)

Enum value maps for Index_IndexUpdateMethod.

NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_name, NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_value

var (
	NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_name = map[int32]string{
		0: "ERROR_TYPE_UNSPECIFIED",
		1: "EMPTY_LINE",
		2: "INVALID_JSON_SYNTAX",
		3: "INVALID_CSV_SYNTAX",
		4: "INVALID_AVRO_SYNTAX",
		5: "INVALID_EMBEDDING_ID",
		6: "EMBEDDING_SIZE_MISMATCH",
		7: "NAMESPACE_MISSING",
	}
	NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_value = map[string]int32{
		"ERROR_TYPE_UNSPECIFIED":  0,
		"EMPTY_LINE":              1,
		"INVALID_JSON_SYNTAX":     2,
		"INVALID_CSV_SYNTAX":      3,
		"INVALID_AVRO_SYNTAX":     4,
		"INVALID_EMBEDDING_ID":    5,
		"EMBEDDING_SIZE_MISMATCH": 6,
		"NAMESPACE_MISSING":       7,
	}
)

Enum value maps for NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType.

JobState_name, JobState_value

var (
	JobState_name = map[int32]string{
		0:  "JOB_STATE_UNSPECIFIED",
		1:  "JOB_STATE_QUEUED",
		2:  "JOB_STATE_PENDING",
		3:  "JOB_STATE_RUNNING",
		4:  "JOB_STATE_SUCCEEDED",
		5:  "JOB_STATE_FAILED",
		6:  "JOB_STATE_CANCELLING",
		7:  "JOB_STATE_CANCELLED",
		8:  "JOB_STATE_PAUSED",
		9:  "JOB_STATE_EXPIRED",
		10: "JOB_STATE_UPDATING",
	}
	JobState_value = map[string]int32{
		"JOB_STATE_UNSPECIFIED": 0,
		"JOB_STATE_QUEUED":      1,
		"JOB_STATE_PENDING":     2,
		"JOB_STATE_RUNNING":     3,
		"JOB_STATE_SUCCEEDED":   4,
		"JOB_STATE_FAILED":      5,
		"JOB_STATE_CANCELLING":  6,
		"JOB_STATE_CANCELLED":   7,
		"JOB_STATE_PAUSED":      8,
		"JOB_STATE_EXPIRED":     9,
		"JOB_STATE_UPDATING":    10,
	}
)

Enum value maps for JobState.

MetadataSchema_MetadataSchemaType_name, MetadataSchema_MetadataSchemaType_value

var (
	MetadataSchema_MetadataSchemaType_name = map[int32]string{
		0: "METADATA_SCHEMA_TYPE_UNSPECIFIED",
		1: "ARTIFACT_TYPE",
		2: "EXECUTION_TYPE",
		3: "CONTEXT_TYPE",
	}
	MetadataSchema_MetadataSchemaType_value = map[string]int32{
		"METADATA_SCHEMA_TYPE_UNSPECIFIED": 0,
		"ARTIFACT_TYPE":                    1,
		"EXECUTION_TYPE":                   2,
		"CONTEXT_TYPE":                     3,
	}
)

Enum value maps for MetadataSchema_MetadataSchemaType.

Model_DeploymentResourcesType_name, Model_DeploymentResourcesType_value

var (
	Model_DeploymentResourcesType_name = map[int32]string{
		0: "DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED",
		1: "DEDICATED_RESOURCES",
		2: "AUTOMATIC_RESOURCES",
		3: "SHARED_RESOURCES",
	}
	Model_DeploymentResourcesType_value = map[string]int32{
		"DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED": 0,
		"DEDICATED_RESOURCES":                   1,
		"AUTOMATIC_RESOURCES":                   2,
		"SHARED_RESOURCES":                      3,
	}
)

Enum value maps for Model_DeploymentResourcesType.

Model_ExportFormat_ExportableContent_name, Model_ExportFormat_ExportableContent_value

var (
	Model_ExportFormat_ExportableContent_name = map[int32]string{
		0: "EXPORTABLE_CONTENT_UNSPECIFIED",
		1: "ARTIFACT",
		2: "IMAGE",
	}
	Model_ExportFormat_ExportableContent_value = map[string]int32{
		"EXPORTABLE_CONTENT_UNSPECIFIED": 0,
		"ARTIFACT":                       1,
		"IMAGE":                          2,
	}
)

Enum value maps for Model_ExportFormat_ExportableContent.

ModelSourceInfo_ModelSourceType_name, ModelSourceInfo_ModelSourceType_value

var (
	ModelSourceInfo_ModelSourceType_name = map[int32]string{
		0: "MODEL_SOURCE_TYPE_UNSPECIFIED",
		1: "AUTOML",
		2: "CUSTOM",
		3: "BQML",
		4: "MODEL_GARDEN",
		5: "GENIE",
	}
	ModelSourceInfo_ModelSourceType_value = map[string]int32{
		"MODEL_SOURCE_TYPE_UNSPECIFIED": 0,
		"AUTOML":                        1,
		"CUSTOM":                        2,
		"BQML":                          3,
		"MODEL_GARDEN":                  4,
		"GENIE":                         5,
	}
)

Enum value maps for ModelSourceInfo_ModelSourceType.

ModelDeploymentMonitoringObjectiveType_name, ModelDeploymentMonitoringObjectiveType_value

var (
	ModelDeploymentMonitoringObjectiveType_name = map[int32]string{
		0: "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED",
		1: "RAW_FEATURE_SKEW",
		2: "RAW_FEATURE_DRIFT",
		3: "FEATURE_ATTRIBUTION_SKEW",
		4: "FEATURE_ATTRIBUTION_DRIFT",
	}
	ModelDeploymentMonitoringObjectiveType_value = map[string]int32{
		"MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED": 0,
		"RAW_FEATURE_SKEW":          1,
		"RAW_FEATURE_DRIFT":         2,
		"FEATURE_ATTRIBUTION_SKEW":  3,
		"FEATURE_ATTRIBUTION_DRIFT": 4,
	}
)

Enum value maps for ModelDeploymentMonitoringObjectiveType.

ModelDeploymentMonitoringJob_MonitoringScheduleState_name, ModelDeploymentMonitoringJob_MonitoringScheduleState_value

var (
	ModelDeploymentMonitoringJob_MonitoringScheduleState_name = map[int32]string{
		0: "MONITORING_SCHEDULE_STATE_UNSPECIFIED",
		1: "PENDING",
		2: "OFFLINE",
		3: "RUNNING",
	}
	ModelDeploymentMonitoringJob_MonitoringScheduleState_value = map[string]int32{
		"MONITORING_SCHEDULE_STATE_UNSPECIFIED": 0,
		"PENDING":                               1,
		"OFFLINE":                               2,
		"RUNNING":                               3,
	}
)

Enum value maps for ModelDeploymentMonitoringJob_MonitoringScheduleState.

ModelDeploymentMonitoringBigQueryTable_LogSource_name, ModelDeploymentMonitoringBigQueryTable_LogSource_value

var (
	ModelDeploymentMonitoringBigQueryTable_LogSource_name = map[int32]string{
		0: "LOG_SOURCE_UNSPECIFIED",
		1: "TRAINING",
		2: "SERVING",
	}
	ModelDeploymentMonitoringBigQueryTable_LogSource_value = map[string]int32{
		"LOG_SOURCE_UNSPECIFIED": 0,
		"TRAINING":               1,
		"SERVING":                2,
	}
)

Enum value maps for ModelDeploymentMonitoringBigQueryTable_LogSource.

ModelDeploymentMonitoringBigQueryTable_LogType_name, ModelDeploymentMonitoringBigQueryTable_LogType_value

var (
	ModelDeploymentMonitoringBigQueryTable_LogType_name = map[int32]string{
		0: "LOG_TYPE_UNSPECIFIED",
		1: "PREDICT",
		2: "EXPLAIN",
	}
	ModelDeploymentMonitoringBigQueryTable_LogType_value = map[string]int32{
		"LOG_TYPE_UNSPECIFIED": 0,
		"PREDICT":              1,
		"EXPLAIN":              2,
	}
)

Enum value maps for ModelDeploymentMonitoringBigQueryTable_LogType.

ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat_name, ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat_value

var (
	ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat_name = map[int32]string{
		0: "PREDICTION_FORMAT_UNSPECIFIED",
		2: "JSONL",
		3: "BIGQUERY",
	}
	ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat_value = map[string]int32{
		"PREDICTION_FORMAT_UNSPECIFIED": 0,
		"JSONL":                         2,
		"BIGQUERY":                      3,
	}
)

Enum value maps for ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat.

NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm_name, NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm_value

var (
	NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm_name = map[int32]string{
		0: "MULTI_TRIAL_ALGORITHM_UNSPECIFIED",
		1: "REINFORCEMENT_LEARNING",
		2: "GRID_SEARCH",
	}
	NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm_value = map[string]int32{
		"MULTI_TRIAL_ALGORITHM_UNSPECIFIED": 0,
		"REINFORCEMENT_LEARNING":            1,
		"GRID_SEARCH":                       2,
	}
)

Enum value maps for NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm.

NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType_name, NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType_value

var (
	NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType_name = map[int32]string{
		0: "GOAL_TYPE_UNSPECIFIED",
		1: "MAXIMIZE",
		2: "MINIMIZE",
	}
	NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType_value = map[string]int32{
		"GOAL_TYPE_UNSPECIFIED": 0,
		"MAXIMIZE":              1,
		"MINIMIZE":              2,
	}
)

Enum value maps for NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType.

NasTrial_State_name, NasTrial_State_value

var (
	NasTrial_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "REQUESTED",
		2: "ACTIVE",
		3: "STOPPING",
		4: "SUCCEEDED",
		5: "INFEASIBLE",
	}
	NasTrial_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"REQUESTED":         1,
		"ACTIVE":            2,
		"STOPPING":          3,
		"SUCCEEDED":         4,
		"INFEASIBLE":        5,
	}
)

Enum value maps for NasTrial_State.

PipelineFailurePolicy_name, PipelineFailurePolicy_value

var (
	PipelineFailurePolicy_name = map[int32]string{
		0: "PIPELINE_FAILURE_POLICY_UNSPECIFIED",
		1: "PIPELINE_FAILURE_POLICY_FAIL_SLOW",
		2: "PIPELINE_FAILURE_POLICY_FAIL_FAST",
	}
	PipelineFailurePolicy_value = map[string]int32{
		"PIPELINE_FAILURE_POLICY_UNSPECIFIED": 0,
		"PIPELINE_FAILURE_POLICY_FAIL_SLOW":   1,
		"PIPELINE_FAILURE_POLICY_FAIL_FAST":   2,
	}
)

Enum value maps for PipelineFailurePolicy.

PipelineTaskDetail_State_name, PipelineTaskDetail_State_value

var (
	PipelineTaskDetail_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "PENDING",
		2: "RUNNING",
		3: "SUCCEEDED",
		4: "CANCEL_PENDING",
		5: "CANCELLING",
		6: "CANCELLED",
		7: "FAILED",
		8: "SKIPPED",
		9: "NOT_TRIGGERED",
	}
	PipelineTaskDetail_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"PENDING":           1,
		"RUNNING":           2,
		"SUCCEEDED":         3,
		"CANCEL_PENDING":    4,
		"CANCELLING":        5,
		"CANCELLED":         6,
		"FAILED":            7,
		"SKIPPED":           8,
		"NOT_TRIGGERED":     9,
	}
)

Enum value maps for PipelineTaskDetail_State.

PipelineState_name, PipelineState_value

var (
	PipelineState_name = map[int32]string{
		0: "PIPELINE_STATE_UNSPECIFIED",
		1: "PIPELINE_STATE_QUEUED",
		2: "PIPELINE_STATE_PENDING",
		3: "PIPELINE_STATE_RUNNING",
		4: "PIPELINE_STATE_SUCCEEDED",
		5: "PIPELINE_STATE_FAILED",
		6: "PIPELINE_STATE_CANCELLING",
		7: "PIPELINE_STATE_CANCELLED",
		8: "PIPELINE_STATE_PAUSED",
	}
	PipelineState_value = map[string]int32{
		"PIPELINE_STATE_UNSPECIFIED": 0,
		"PIPELINE_STATE_QUEUED":      1,
		"PIPELINE_STATE_PENDING":     2,
		"PIPELINE_STATE_RUNNING":     3,
		"PIPELINE_STATE_SUCCEEDED":   4,
		"PIPELINE_STATE_FAILED":      5,
		"PIPELINE_STATE_CANCELLING":  6,
		"PIPELINE_STATE_CANCELLED":   7,
		"PIPELINE_STATE_PAUSED":      8,
	}
)

Enum value maps for PipelineState.

Study_State_name, Study_State_value

var (
	Study_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "ACTIVE",
		2: "INACTIVE",
		3: "COMPLETED",
	}
	Study_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"ACTIVE":            1,
		"INACTIVE":          2,
		"COMPLETED":         3,
	}
)

Enum value maps for Study_State.

Trial_State_name, Trial_State_value

var (
	Trial_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "REQUESTED",
		2: "ACTIVE",
		3: "STOPPING",
		4: "SUCCEEDED",
		5: "INFEASIBLE",
	}
	Trial_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"REQUESTED":         1,
		"ACTIVE":            2,
		"STOPPING":          3,
		"SUCCEEDED":         4,
		"INFEASIBLE":        5,
	}
)

Enum value maps for Trial_State.

StudySpec_Algorithm_name, StudySpec_Algorithm_value

var (
	StudySpec_Algorithm_name = map[int32]string{
		0: "ALGORITHM_UNSPECIFIED",
		2: "GRID_SEARCH",
		3: "RANDOM_SEARCH",
	}
	StudySpec_Algorithm_value = map[string]int32{
		"ALGORITHM_UNSPECIFIED": 0,
		"GRID_SEARCH":           2,
		"RANDOM_SEARCH":         3,
	}
)

Enum value maps for StudySpec_Algorithm.

StudySpec_ObservationNoise_name, StudySpec_ObservationNoise_value

var (
	StudySpec_ObservationNoise_name = map[int32]string{
		0: "OBSERVATION_NOISE_UNSPECIFIED",
		1: "LOW",
		2: "HIGH",
	}
	StudySpec_ObservationNoise_value = map[string]int32{
		"OBSERVATION_NOISE_UNSPECIFIED": 0,
		"LOW":                           1,
		"HIGH":                          2,
	}
)

Enum value maps for StudySpec_ObservationNoise.

StudySpec_MeasurementSelectionType_name, StudySpec_MeasurementSelectionType_value

var (
	StudySpec_MeasurementSelectionType_name = map[int32]string{
		0: "MEASUREMENT_SELECTION_TYPE_UNSPECIFIED",
		1: "LAST_MEASUREMENT",
		2: "BEST_MEASUREMENT",
	}
	StudySpec_MeasurementSelectionType_value = map[string]int32{
		"MEASUREMENT_SELECTION_TYPE_UNSPECIFIED": 0,
		"LAST_MEASUREMENT":                       1,
		"BEST_MEASUREMENT":                       2,
	}
)

Enum value maps for StudySpec_MeasurementSelectionType.

StudySpec_MetricSpec_GoalType_name, StudySpec_MetricSpec_GoalType_value

var (
	StudySpec_MetricSpec_GoalType_name = map[int32]string{
		0: "GOAL_TYPE_UNSPECIFIED",
		1: "MAXIMIZE",
		2: "MINIMIZE",
	}
	StudySpec_MetricSpec_GoalType_value = map[string]int32{
		"GOAL_TYPE_UNSPECIFIED": 0,
		"MAXIMIZE":              1,
		"MINIMIZE":              2,
	}
)

Enum value maps for StudySpec_MetricSpec_GoalType.

StudySpec_ParameterSpec_ScaleType_name, StudySpec_ParameterSpec_ScaleType_value

var (
	StudySpec_ParameterSpec_ScaleType_name = map[int32]string{
		0: "SCALE_TYPE_UNSPECIFIED",
		1: "UNIT_LINEAR_SCALE",
		2: "UNIT_LOG_SCALE",
		3: "UNIT_REVERSE_LOG_SCALE",
	}
	StudySpec_ParameterSpec_ScaleType_value = map[string]int32{
		"SCALE_TYPE_UNSPECIFIED": 0,
		"UNIT_LINEAR_SCALE":      1,
		"UNIT_LOG_SCALE":         2,
		"UNIT_REVERSE_LOG_SCALE": 3,
	}
)

Enum value maps for StudySpec_ParameterSpec_ScaleType.

TensorboardTimeSeries_ValueType_name, TensorboardTimeSeries_ValueType_value

var (
	TensorboardTimeSeries_ValueType_name = map[int32]string{
		0: "VALUE_TYPE_UNSPECIFIED",
		1: "SCALAR",
		2: "TENSOR",
		3: "BLOB_SEQUENCE",
	}
	TensorboardTimeSeries_ValueType_value = map[string]int32{
		"VALUE_TYPE_UNSPECIFIED": 0,
		"SCALAR":                 1,
		"TENSOR":                 2,
		"BLOB_SEQUENCE":          3,
	}
)

Enum value maps for TensorboardTimeSeries_ValueType.

File_google_cloud_aiplatform_v1_accelerator_type_proto

var File_google_cloud_aiplatform_v1_accelerator_type_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_annotation_proto

var File_google_cloud_aiplatform_v1_annotation_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_annotation_spec_proto

var File_google_cloud_aiplatform_v1_annotation_spec_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_artifact_proto

var File_google_cloud_aiplatform_v1_artifact_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_batch_prediction_job_proto

var File_google_cloud_aiplatform_v1_batch_prediction_job_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_completion_stats_proto

var File_google_cloud_aiplatform_v1_completion_stats_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_context_proto

var File_google_cloud_aiplatform_v1_context_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_custom_job_proto

var File_google_cloud_aiplatform_v1_custom_job_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_data_item_proto

var File_google_cloud_aiplatform_v1_data_item_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_data_labeling_job_proto

var File_google_cloud_aiplatform_v1_data_labeling_job_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_dataset_proto

var File_google_cloud_aiplatform_v1_dataset_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_dataset_service_proto

var File_google_cloud_aiplatform_v1_dataset_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_deployed_index_ref_proto

var File_google_cloud_aiplatform_v1_deployed_index_ref_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_deployed_model_ref_proto

var File_google_cloud_aiplatform_v1_deployed_model_ref_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_encryption_spec_proto

var File_google_cloud_aiplatform_v1_encryption_spec_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_endpoint_proto

var File_google_cloud_aiplatform_v1_endpoint_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_endpoint_service_proto

var File_google_cloud_aiplatform_v1_endpoint_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_entity_type_proto

var File_google_cloud_aiplatform_v1_entity_type_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_env_var_proto

var File_google_cloud_aiplatform_v1_env_var_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_evaluated_annotation_proto

var File_google_cloud_aiplatform_v1_evaluated_annotation_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_event_proto

var File_google_cloud_aiplatform_v1_event_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_execution_proto

var File_google_cloud_aiplatform_v1_execution_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_explanation_metadata_proto

var File_google_cloud_aiplatform_v1_explanation_metadata_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_explanation_proto

var File_google_cloud_aiplatform_v1_explanation_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_feature_monitoring_stats_proto

var File_google_cloud_aiplatform_v1_feature_monitoring_stats_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_feature_proto

var File_google_cloud_aiplatform_v1_feature_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_feature_selector_proto

var File_google_cloud_aiplatform_v1_feature_selector_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_featurestore_monitoring_proto

var File_google_cloud_aiplatform_v1_featurestore_monitoring_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_featurestore_online_service_proto

var File_google_cloud_aiplatform_v1_featurestore_online_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_featurestore_proto

var File_google_cloud_aiplatform_v1_featurestore_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_featurestore_service_proto

var File_google_cloud_aiplatform_v1_featurestore_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_hyperparameter_tuning_job_proto

var File_google_cloud_aiplatform_v1_hyperparameter_tuning_job_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_index_endpoint_proto

var File_google_cloud_aiplatform_v1_index_endpoint_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_index_endpoint_service_proto

var File_google_cloud_aiplatform_v1_index_endpoint_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_index_proto

var File_google_cloud_aiplatform_v1_index_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_index_service_proto

var File_google_cloud_aiplatform_v1_index_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_io_proto

var File_google_cloud_aiplatform_v1_io_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_job_service_proto

var File_google_cloud_aiplatform_v1_job_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_job_state_proto

var File_google_cloud_aiplatform_v1_job_state_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_lineage_subgraph_proto

var File_google_cloud_aiplatform_v1_lineage_subgraph_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_machine_resources_proto

var File_google_cloud_aiplatform_v1_machine_resources_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_manual_batch_tuning_parameters_proto

var File_google_cloud_aiplatform_v1_manual_batch_tuning_parameters_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_metadata_schema_proto

var File_google_cloud_aiplatform_v1_metadata_schema_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_metadata_service_proto

var File_google_cloud_aiplatform_v1_metadata_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_metadata_store_proto

var File_google_cloud_aiplatform_v1_metadata_store_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_migratable_resource_proto

var File_google_cloud_aiplatform_v1_migratable_resource_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_migration_service_proto

var File_google_cloud_aiplatform_v1_migration_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_model_deployment_monitoring_job_proto

var File_google_cloud_aiplatform_v1_model_deployment_monitoring_job_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_model_evaluation_proto

var File_google_cloud_aiplatform_v1_model_evaluation_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_model_evaluation_slice_proto

var File_google_cloud_aiplatform_v1_model_evaluation_slice_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_model_monitoring_proto

var File_google_cloud_aiplatform_v1_model_monitoring_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_model_proto

var File_google_cloud_aiplatform_v1_model_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_model_service_proto

var File_google_cloud_aiplatform_v1_model_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_nas_job_proto

var File_google_cloud_aiplatform_v1_nas_job_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_operation_proto

var File_google_cloud_aiplatform_v1_operation_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_pipeline_failure_policy_proto

var File_google_cloud_aiplatform_v1_pipeline_failure_policy_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_pipeline_job_proto

var File_google_cloud_aiplatform_v1_pipeline_job_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_pipeline_service_proto

var File_google_cloud_aiplatform_v1_pipeline_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_pipeline_state_proto

var File_google_cloud_aiplatform_v1_pipeline_state_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_prediction_service_proto

var File_google_cloud_aiplatform_v1_prediction_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_saved_query_proto

var File_google_cloud_aiplatform_v1_saved_query_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_service_networking_proto

var File_google_cloud_aiplatform_v1_service_networking_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_specialist_pool_proto

var File_google_cloud_aiplatform_v1_specialist_pool_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_specialist_pool_service_proto

var File_google_cloud_aiplatform_v1_specialist_pool_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_study_proto

var File_google_cloud_aiplatform_v1_study_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_tensorboard_data_proto

var File_google_cloud_aiplatform_v1_tensorboard_data_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_tensorboard_experiment_proto

var File_google_cloud_aiplatform_v1_tensorboard_experiment_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_tensorboard_proto

var File_google_cloud_aiplatform_v1_tensorboard_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_tensorboard_run_proto

var File_google_cloud_aiplatform_v1_tensorboard_run_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_tensorboard_service_proto

var File_google_cloud_aiplatform_v1_tensorboard_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_tensorboard_time_series_proto

var File_google_cloud_aiplatform_v1_tensorboard_time_series_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_training_pipeline_proto

var File_google_cloud_aiplatform_v1_training_pipeline_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_types_proto

var File_google_cloud_aiplatform_v1_types_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_unmanaged_container_model_proto

var File_google_cloud_aiplatform_v1_unmanaged_container_model_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_user_action_reference_proto

var File_google_cloud_aiplatform_v1_user_action_reference_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_value_proto

var File_google_cloud_aiplatform_v1_value_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_vizier_service_proto

var File_google_cloud_aiplatform_v1_vizier_service_proto protoreflect.FileDescriptor

Functions

func RegisterDatasetServiceServer

func RegisterDatasetServiceServer(s *grpc.Server, srv DatasetServiceServer)

func RegisterEndpointServiceServer

func RegisterEndpointServiceServer(s *grpc.Server, srv EndpointServiceServer)

func RegisterFeaturestoreOnlineServingServiceServer

func RegisterFeaturestoreOnlineServingServiceServer(s *grpc.Server, srv FeaturestoreOnlineServingServiceServer)

func RegisterFeaturestoreServiceServer

func RegisterFeaturestoreServiceServer(s *grpc.Server, srv FeaturestoreServiceServer)

func RegisterIndexEndpointServiceServer

func RegisterIndexEndpointServiceServer(s *grpc.Server, srv IndexEndpointServiceServer)

func RegisterIndexServiceServer

func RegisterIndexServiceServer(s *grpc.Server, srv IndexServiceServer)

func RegisterJobServiceServer

func RegisterJobServiceServer(s *grpc.Server, srv JobServiceServer)

func RegisterMetadataServiceServer

func RegisterMetadataServiceServer(s *grpc.Server, srv MetadataServiceServer)

func RegisterMigrationServiceServer

func RegisterMigrationServiceServer(s *grpc.Server, srv MigrationServiceServer)

func RegisterModelServiceServer

func RegisterModelServiceServer(s *grpc.Server, srv ModelServiceServer)

func RegisterPipelineServiceServer

func RegisterPipelineServiceServer(s *grpc.Server, srv PipelineServiceServer)

func RegisterPredictionServiceServer

func RegisterPredictionServiceServer(s *grpc.Server, srv PredictionServiceServer)

func RegisterSpecialistPoolServiceServer

func RegisterSpecialistPoolServiceServer(s *grpc.Server, srv SpecialistPoolServiceServer)

func RegisterTensorboardServiceServer

func RegisterTensorboardServiceServer(s *grpc.Server, srv TensorboardServiceServer)

func RegisterVizierServiceServer

func RegisterVizierServiceServer(s *grpc.Server, srv VizierServiceServer)

AcceleratorType

type AcceleratorType int32

Represents a hardware accelerator type.

AcceleratorType_ACCELERATOR_TYPE_UNSPECIFIED, AcceleratorType_NVIDIA_TESLA_K80, AcceleratorType_NVIDIA_TESLA_P100, AcceleratorType_NVIDIA_TESLA_V100, AcceleratorType_NVIDIA_TESLA_P4, AcceleratorType_NVIDIA_TESLA_T4, AcceleratorType_NVIDIA_TESLA_A100, AcceleratorType_NVIDIA_L4, AcceleratorType_TPU_V2, AcceleratorType_TPU_V3, AcceleratorType_TPU_V4_POD

const (
	// Unspecified accelerator type, which means no accelerator.
	AcceleratorType_ACCELERATOR_TYPE_UNSPECIFIED AcceleratorType = 0
	// Nvidia Tesla K80 GPU.
	AcceleratorType_NVIDIA_TESLA_K80 AcceleratorType = 1
	// Nvidia Tesla P100 GPU.
	AcceleratorType_NVIDIA_TESLA_P100 AcceleratorType = 2
	// Nvidia Tesla V100 GPU.
	AcceleratorType_NVIDIA_TESLA_V100 AcceleratorType = 3
	// Nvidia Tesla P4 GPU.
	AcceleratorType_NVIDIA_TESLA_P4 AcceleratorType = 4
	// Nvidia Tesla T4 GPU.
	AcceleratorType_NVIDIA_TESLA_T4 AcceleratorType = 5
	// Nvidia Tesla A100 GPU.
	AcceleratorType_NVIDIA_TESLA_A100 AcceleratorType = 8
	// Nvidia L4 GPU.
	AcceleratorType_NVIDIA_L4 AcceleratorType = 11
	// TPU v2.
	AcceleratorType_TPU_V2 AcceleratorType = 6
	// TPU v3.
	AcceleratorType_TPU_V3 AcceleratorType = 7
	// TPU v4.
	AcceleratorType_TPU_V4_POD AcceleratorType = 10
)

func (AcceleratorType) Descriptor

func (AcceleratorType) Descriptor() protoreflect.EnumDescriptor

func (AcceleratorType) Enum

func (x AcceleratorType) Enum() *AcceleratorType

func (AcceleratorType) EnumDescriptor

func (AcceleratorType) EnumDescriptor() ([]byte, []int)

Deprecated: Use AcceleratorType.Descriptor instead.

func (AcceleratorType) Number

func (x AcceleratorType) Number() protoreflect.EnumNumber

func (AcceleratorType) String

func (x AcceleratorType) String() string

func (AcceleratorType) Type

func (AcceleratorType) Type() protoreflect.EnumType

ActiveLearningConfig

type ActiveLearningConfig struct {

	// Required. Max human labeling DataItems. The rest part will be labeled by
	// machine.
	//
	// Types that are assignable to HumanLabelingBudget:
	//	*ActiveLearningConfig_MaxDataItemCount
	//	*ActiveLearningConfig_MaxDataItemPercentage
	HumanLabelingBudget isActiveLearningConfig_HumanLabelingBudget `protobuf_oneof:"human_labeling_budget"`
	// Active learning data sampling config. For every active learning labeling
	// iteration, it will select a batch of data based on the sampling strategy.
	SampleConfig *SampleConfig `protobuf:"bytes,3,opt,name=sample_config,json=sampleConfig,proto3" json:"sample_config,omitempty"`
	// CMLE training config. For every active learning labeling iteration, system
	// will train a machine learning model on CMLE. The trained model will be used
	// by data sampling algorithm to select DataItems.
	TrainingConfig *TrainingConfig `protobuf:"bytes,4,opt,name=training_config,json=trainingConfig,proto3" json:"training_config,omitempty"`
	// contains filtered or unexported fields
}

Parameters that configure the active learning pipeline. Active learning will

label the data incrementally by several iterations. For every iteration, it
will select a batch of data based on the sampling strategy.

func (*ActiveLearningConfig) Descriptor

func (*ActiveLearningConfig) Descriptor() ([]byte, []int)

Deprecated: Use ActiveLearningConfig.ProtoReflect.Descriptor instead.

func (*ActiveLearningConfig) GetHumanLabelingBudget

func (m *ActiveLearningConfig) GetHumanLabelingBudget() isActiveLearningConfig_HumanLabelingBudget

func (*ActiveLearningConfig) GetMaxDataItemCount

func (x *ActiveLearningConfig) GetMaxDataItemCount() int64

func (*ActiveLearningConfig) GetMaxDataItemPercentage

func (x *ActiveLearningConfig) GetMaxDataItemPercentage() int32

func (*ActiveLearningConfig) GetSampleConfig

func (x *ActiveLearningConfig) GetSampleConfig() *SampleConfig

func (*ActiveLearningConfig) GetTrainingConfig

func (x *ActiveLearningConfig) GetTrainingConfig() *TrainingConfig

func (*ActiveLearningConfig) ProtoMessage

func (*ActiveLearningConfig) ProtoMessage()

func (*ActiveLearningConfig) ProtoReflect

func (x *ActiveLearningConfig) ProtoReflect() protoreflect.Message

func (*ActiveLearningConfig) Reset

func (x *ActiveLearningConfig) Reset()

func (*ActiveLearningConfig) String

func (x *ActiveLearningConfig) String() string

ActiveLearningConfig_MaxDataItemCount

type ActiveLearningConfig_MaxDataItemCount struct {
	// Max number of human labeled DataItems.
	MaxDataItemCount int64 `protobuf:"varint,1,opt,name=max_data_item_count,json=maxDataItemCount,proto3,oneof"`
}

ActiveLearningConfig_MaxDataItemPercentage

type ActiveLearningConfig_MaxDataItemPercentage struct {
	// Max percent of total DataItems for human labeling.
	MaxDataItemPercentage int32 `protobuf:"varint,2,opt,name=max_data_item_percentage,json=maxDataItemPercentage,proto3,oneof"`
}

AddContextArtifactsAndExecutionsRequest

type AddContextArtifactsAndExecutionsRequest struct {

	// Required. The resource name of the Context that the Artifacts and
	// Executions belong to. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// The resource names of the Artifacts to attribute to the Context.
	//
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	Artifacts []string `protobuf:"bytes,2,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// The resource names of the Executions to associate with the
	// Context.
	//
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Executions []string `protobuf:"bytes,3,rep,name=executions,proto3" json:"executions,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].

func (*AddContextArtifactsAndExecutionsRequest) Descriptor

func (*AddContextArtifactsAndExecutionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddContextArtifactsAndExecutionsRequest.ProtoReflect.Descriptor instead.

func (*AddContextArtifactsAndExecutionsRequest) GetArtifacts

func (x *AddContextArtifactsAndExecutionsRequest) GetArtifacts() []string

func (*AddContextArtifactsAndExecutionsRequest) GetContext

func (x *AddContextArtifactsAndExecutionsRequest) GetContext() string

func (*AddContextArtifactsAndExecutionsRequest) GetExecutions

func (x *AddContextArtifactsAndExecutionsRequest) GetExecutions() []string

func (*AddContextArtifactsAndExecutionsRequest) ProtoMessage

func (*AddContextArtifactsAndExecutionsRequest) ProtoMessage()

func (*AddContextArtifactsAndExecutionsRequest) ProtoReflect

func (x *AddContextArtifactsAndExecutionsRequest) ProtoReflect() protoreflect.Message

func (*AddContextArtifactsAndExecutionsRequest) Reset

func (x *AddContextArtifactsAndExecutionsRequest) Reset()

func (*AddContextArtifactsAndExecutionsRequest) String

func (x *AddContextArtifactsAndExecutionsRequest) String() string

AddContextArtifactsAndExecutionsResponse

type AddContextArtifactsAndExecutionsResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].

func (*AddContextArtifactsAndExecutionsResponse) Descriptor

func (*AddContextArtifactsAndExecutionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use AddContextArtifactsAndExecutionsResponse.ProtoReflect.Descriptor instead.

func (*AddContextArtifactsAndExecutionsResponse) ProtoMessage

func (*AddContextArtifactsAndExecutionsResponse) ProtoMessage()

func (*AddContextArtifactsAndExecutionsResponse) ProtoReflect

func (x *AddContextArtifactsAndExecutionsResponse) ProtoReflect() protoreflect.Message

func (*AddContextArtifactsAndExecutionsResponse) Reset

func (x *AddContextArtifactsAndExecutionsResponse) Reset()

func (*AddContextArtifactsAndExecutionsResponse) String

func (x *AddContextArtifactsAndExecutionsResponse) String() string

AddContextChildrenRequest

type AddContextChildrenRequest struct {

	// Required. The resource name of the parent Context.
	//
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// The resource names of the child Contexts.
	ChildContexts []string `protobuf:"bytes,2,rep,name=child_contexts,json=childContexts,proto3" json:"child_contexts,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].

func (*AddContextChildrenRequest) Descriptor

func (*AddContextChildrenRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddContextChildrenRequest.ProtoReflect.Descriptor instead.

func (*AddContextChildrenRequest) GetChildContexts

func (x *AddContextChildrenRequest) GetChildContexts() []string

func (*AddContextChildrenRequest) GetContext

func (x *AddContextChildrenRequest) GetContext() string

func (*AddContextChildrenRequest) ProtoMessage

func (*AddContextChildrenRequest) ProtoMessage()

func (*AddContextChildrenRequest) ProtoReflect

func (x *AddContextChildrenRequest) ProtoReflect() protoreflect.Message

func (*AddContextChildrenRequest) Reset

func (x *AddContextChildrenRequest) Reset()

func (*AddContextChildrenRequest) String

func (x *AddContextChildrenRequest) String() string

AddContextChildrenResponse

type AddContextChildrenResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].

func (*AddContextChildrenResponse) Descriptor

func (*AddContextChildrenResponse) Descriptor() ([]byte, []int)

Deprecated: Use AddContextChildrenResponse.ProtoReflect.Descriptor instead.

func (*AddContextChildrenResponse) ProtoMessage

func (*AddContextChildrenResponse) ProtoMessage()

func (*AddContextChildrenResponse) ProtoReflect

func (x *AddContextChildrenResponse) ProtoReflect() protoreflect.Message

func (*AddContextChildrenResponse) Reset

func (x *AddContextChildrenResponse) Reset()

func (*AddContextChildrenResponse) String

func (x *AddContextChildrenResponse) String() string

AddExecutionEventsRequest

type AddExecutionEventsRequest struct {

	// Required. The resource name of the Execution that the Events connect
	// Artifacts with.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Execution string `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
	// The Events to create and add.
	Events []*Event `protobuf:"bytes,2,rep,name=events,proto3" json:"events,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].

func (*AddExecutionEventsRequest) Descriptor

func (*AddExecutionEventsRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddExecutionEventsRequest.ProtoReflect.Descriptor instead.

func (*AddExecutionEventsRequest) GetEvents

func (x *AddExecutionEventsRequest) GetEvents() []*Event

func (*AddExecutionEventsRequest) GetExecution

func (x *AddExecutionEventsRequest) GetExecution() string

func (*AddExecutionEventsRequest) ProtoMessage

func (*AddExecutionEventsRequest) ProtoMessage()

func (*AddExecutionEventsRequest) ProtoReflect

func (x *AddExecutionEventsRequest) ProtoReflect() protoreflect.Message

func (*AddExecutionEventsRequest) Reset

func (x *AddExecutionEventsRequest) Reset()

func (*AddExecutionEventsRequest) String

func (x *AddExecutionEventsRequest) String() string

AddExecutionEventsResponse

type AddExecutionEventsResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].

func (*AddExecutionEventsResponse) Descriptor

func (*AddExecutionEventsResponse) Descriptor() ([]byte, []int)

Deprecated: Use AddExecutionEventsResponse.ProtoReflect.Descriptor instead.

func (*AddExecutionEventsResponse) ProtoMessage

func (*AddExecutionEventsResponse) ProtoMessage()

func (*AddExecutionEventsResponse) ProtoReflect

func (x *AddExecutionEventsResponse) ProtoReflect() protoreflect.Message

func (*AddExecutionEventsResponse) Reset

func (x *AddExecutionEventsResponse) Reset()

func (*AddExecutionEventsResponse) String

func (x *AddExecutionEventsResponse) String() string

AddTrialMeasurementRequest

type AddTrialMeasurementRequest struct {

	// Required. The name of the trial to add measurement.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	TrialName string `protobuf:"bytes,1,opt,name=trial_name,json=trialName,proto3" json:"trial_name,omitempty"`
	// Required. The measurement to be added to a Trial.
	Measurement *Measurement `protobuf:"bytes,3,opt,name=measurement,proto3" json:"measurement,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].

func (*AddTrialMeasurementRequest) Descriptor

func (*AddTrialMeasurementRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddTrialMeasurementRequest.ProtoReflect.Descriptor instead.

func (*AddTrialMeasurementRequest) GetMeasurement

func (x *AddTrialMeasurementRequest) GetMeasurement() *Measurement

func (*AddTrialMeasurementRequest) GetTrialName

func (x *AddTrialMeasurementRequest) GetTrialName() string

func (*AddTrialMeasurementRequest) ProtoMessage

func (*AddTrialMeasurementRequest) ProtoMessage()

func (*AddTrialMeasurementRequest) ProtoReflect

func (x *AddTrialMeasurementRequest) ProtoReflect() protoreflect.Message

func (*AddTrialMeasurementRequest) Reset

func (x *AddTrialMeasurementRequest) Reset()

func (*AddTrialMeasurementRequest) String

func (x *AddTrialMeasurementRequest) String() string

Annotation

type Annotation struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	PayloadSchemaUri string `protobuf:"bytes,2,opt,name=payload_schema_uri,json=payloadSchemaUri,proto3" json:"payload_schema_uri,omitempty"`

	Payload *structpb.Value `protobuf:"bytes,3,opt,name=payload,proto3" json:"payload,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`

	AnnotationSource *UserActionReference `protobuf:"bytes,5,opt,name=annotation_source,json=annotationSource,proto3" json:"annotation_source,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

}

Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.

func (*Annotation) Descriptor

func (*Annotation) Descriptor() ([]byte, []int)

Deprecated: Use Annotation.ProtoReflect.Descriptor instead.

func (*Annotation) GetAnnotationSource

func (x *Annotation) GetAnnotationSource() *UserActionReference

func (*Annotation) GetCreateTime

func (x *Annotation) GetCreateTime() *timestamppb.Timestamp

func (*Annotation) GetEtag

func (x *Annotation) GetEtag() string

func (*Annotation) GetLabels

func (x *Annotation) GetLabels() map[string]string

func (*Annotation) GetName

func (x *Annotation) GetName() string

func (*Annotation) GetPayload

func (x *Annotation) GetPayload() *structpb.Value

func (*Annotation) GetPayloadSchemaUri

func (x *Annotation) GetPayloadSchemaUri() string

func (*Annotation) GetUpdateTime

func (x *Annotation) GetUpdateTime() *timestamppb.Timestamp

func (*Annotation) ProtoMessage

func (*Annotation) ProtoMessage()

func (*Annotation) ProtoReflect

func (x *Annotation) ProtoReflect() protoreflect.Message

func (*Annotation) Reset

func (x *Annotation) Reset()

func (*Annotation) String

func (x *Annotation) String() string

AnnotationSpec

type AnnotationSpec struct {

	// Output only. Resource name of the AnnotationSpec.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the AnnotationSpec.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. Timestamp when this AnnotationSpec was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when AnnotationSpec was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

Identifies a concept with which DataItems may be annotated with.

func (*AnnotationSpec) Descriptor

func (*AnnotationSpec) Descriptor() ([]byte, []int)

Deprecated: Use AnnotationSpec.ProtoReflect.Descriptor instead.

func (*AnnotationSpec) GetCreateTime

func (x *AnnotationSpec) GetCreateTime() *timestamppb.Timestamp

func (*AnnotationSpec) GetDisplayName

func (x *AnnotationSpec) GetDisplayName() string

func (*AnnotationSpec) GetEtag

func (x *AnnotationSpec) GetEtag() string

func (*AnnotationSpec) GetName

func (x *AnnotationSpec) GetName() string

func (*AnnotationSpec) GetUpdateTime

func (x *AnnotationSpec) GetUpdateTime() *timestamppb.Timestamp

func (*AnnotationSpec) ProtoMessage

func (*AnnotationSpec) ProtoMessage()

func (*AnnotationSpec) ProtoReflect

func (x *AnnotationSpec) ProtoReflect() protoreflect.Message

func (*AnnotationSpec) Reset

func (x *AnnotationSpec) Reset()

func (*AnnotationSpec) String

func (x *AnnotationSpec) String() string

Artifact

type Artifact struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Uri string `protobuf:"bytes,6,opt,name=uri,proto3" json:"uri,omitempty"`

	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	State Artifact_State `protobuf:"varint,13,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Artifact_State" json:"state,omitempty"`

	SchemaTitle string `protobuf:"bytes,14,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`

	SchemaVersion string `protobuf:"bytes,15,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`

	Metadata *structpb.Struct `protobuf:"bytes,16,opt,name=metadata,proto3" json:"metadata,omitempty"`

	Description string `protobuf:"bytes,17,opt,name=description,proto3" json:"description,omitempty"`

}

Instance of a general artifact.

func (*Artifact) Descriptor

func (*Artifact) Descriptor() ([]byte, []int)

Deprecated: Use Artifact.ProtoReflect.Descriptor instead.

func (*Artifact) GetCreateTime

func (x *Artifact) GetCreateTime() *timestamppb.Timestamp

func (*Artifact) GetDescription

func (x *Artifact) GetDescription() string

func (*Artifact) GetDisplayName

func (x *Artifact) GetDisplayName() string

func (*Artifact) GetEtag

func (x *Artifact) GetEtag() string

func (*Artifact) GetLabels

func (x *Artifact) GetLabels() map[string]string

func (*Artifact) GetMetadata

func (x *Artifact) GetMetadata() *structpb.Struct

func (*Artifact) GetName

func (x *Artifact) GetName() string

func (*Artifact) GetSchemaTitle

func (x *Artifact) GetSchemaTitle() string

func (*Artifact) GetSchemaVersion

func (x *Artifact) GetSchemaVersion() string

func (*Artifact) GetState

func (x *Artifact) GetState() Artifact_State

func (*Artifact) GetUpdateTime

func (x *Artifact) GetUpdateTime() *timestamppb.Timestamp

func (*Artifact) GetUri

func (x *Artifact) GetUri() string

func (*Artifact) ProtoMessage

func (*Artifact) ProtoMessage()

func (*Artifact) ProtoReflect

func (x *Artifact) ProtoReflect() protoreflect.Message

func (*Artifact) Reset

func (x *Artifact) Reset()

func (*Artifact) String

func (x *Artifact) String() string

Artifact_State

type Artifact_State int32

Describes the state of the Artifact.

Artifact_STATE_UNSPECIFIED, Artifact_PENDING, Artifact_LIVE

const (
	// Unspecified state for the Artifact.
	Artifact_STATE_UNSPECIFIED Artifact_State = 0
	// A state used by systems like Vertex AI Pipelines to indicate that the
	// underlying data item represented by this Artifact is being created.
	Artifact_PENDING Artifact_State = 1
	// A state indicating that the Artifact should exist, unless something
	// external to the system deletes it.
	Artifact_LIVE Artifact_State = 2
)

func (Artifact_State) Descriptor

func (Artifact_State) Descriptor() protoreflect.EnumDescriptor

func (Artifact_State) Enum

func (x Artifact_State) Enum() *Artifact_State

func (Artifact_State) EnumDescriptor

func (Artifact_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Artifact_State.Descriptor instead.

func (Artifact_State) Number

func (x Artifact_State) Number() protoreflect.EnumNumber

func (Artifact_State) String

func (x Artifact_State) String() string

func (Artifact_State) Type

func (Artifact_State) Type() protoreflect.EnumType

Attribution

type Attribution struct {

	// Output only. Model predicted output if the input instance is constructed
	// from the baselines of all the features defined in
	// [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
	// The field name of the output is determined by the key in
	// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
	//
	// If the Model's predicted output has multiple dimensions (rank > 1), this is
	// the value in the output located by
	// [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
	//
	// If there are multiple baselines, their output values are averaged.
	BaselineOutputValue float64 `protobuf:"fixed64,1,opt,name=baseline_output_value,json=baselineOutputValue,proto3" json:"baseline_output_value,omitempty"`
	// Output only. Model predicted output on the corresponding [explanation
	// instance][ExplainRequest.instances]. The field name of the output is
	// determined by the key in
	// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
	//
	// If the Model predicted output has multiple dimensions, this is the value in
	// the output located by
	// [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
	InstanceOutputValue float64 `protobuf:"fixed64,2,opt,name=instance_output_value,json=instanceOutputValue,proto3" json:"instance_output_value,omitempty"`
	// Output only. Attributions of each explained feature. Features are extracted
	// from the [prediction
	// instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
	// to [explanation metadata for
	// inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
	//
	// The value is a struct, whose keys are the name of the feature. The values
	// are how much the feature in the
	// [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
	// to the predicted result.
	//
	// The format of the value is determined by the feature's input format:
	//
	//   * If the feature is a scalar value, the attribution value is a
	//     [floating number][google.protobuf.Value.number_value].
	//
	//   * If the feature is an array of scalar values, the attribution value is
	//     an [array][google.protobuf.Value.list_value].
	//
	//   * If the feature is a struct, the attribution value is a
	//     [struct][google.protobuf.Value.struct_value]. The keys in the
	//     attribution value struct are the same as the keys in the feature
	//     struct. The formats of the values in the attribution struct are
	//     determined by the formats of the values in the feature struct.
	//
	// The
	// [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
	// field, pointed to by the
	// [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
	// [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
	// object, points to the schema file that describes the features and their
	// attribution values (if it is populated).
	FeatureAttributions *structpb.Value `protobuf:"bytes,3,opt,name=feature_attributions,json=featureAttributions,proto3" json:"feature_attributions,omitempty"`
	// Output only. The index that locates the explained prediction output.
	//
	// If the prediction output is a scalar value, output_index is not populated.
	// If the prediction output has multiple dimensions, the length of the
	// output_index list is the same as the number of dimensions of the output.
	// The i-th element in output_index is the element index of the i-th dimension
	// of the output vector. Indices start from 0.
	OutputIndex []int32 `protobuf:"varint,4,rep,packed,name=output_index,json=outputIndex,proto3" json:"output_index,omitempty"`
	// Output only. The display name of the output identified by
	// [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
	// example, the predicted class name by a multi-classification Model.
	//
	// This field is only populated iff the Model predicts display names as a
	// separate field along with the explained output. The predicted display name
	// must has the same shape of the explained output, and can be located using
	// output_index.
	OutputDisplayName string `protobuf:"bytes,5,opt,name=output_display_name,json=outputDisplayName,proto3" json:"output_display_name,omitempty"`
	// Output only. Error of
	// [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
	// caused by approximation used in the explanation method. Lower value means
	// more precise attributions.
	//
	// * For Sampled Shapley
	// [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution],
	// increasing
	// [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count]
	// might reduce the error.
	// * For Integrated Gradients
	// [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
	// increasing
	// [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count]
	// might reduce the error.
	// * For [XRAI
	// attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
	// increasing
	// [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might
	// reduce the error.
	//
	// See [this introduction](/vertex-ai/docs/explainable-ai/overview)
	// for more information.
	ApproximationError float64 `protobuf:"fixed64,6,opt,name=approximation_error,json=approximationError,proto3" json:"approximation_error,omitempty"`
	// Output only. Name of the explain output. Specified as the key in
	// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
	OutputName string `protobuf:"bytes,7,opt,name=output_name,json=outputName,proto3" json:"output_name,omitempty"`
	// contains filtered or unexported fields
}

Attribution that explains a particular prediction output.

func (*Attribution) Descriptor

func (*Attribution) Descriptor() ([]byte, []int)

Deprecated: Use Attribution.ProtoReflect.Descriptor instead.

func (*Attribution) GetApproximationError

func (x *Attribution) GetApproximationError() float64

func (*Attribution) GetBaselineOutputValue

func (x *Attribution) GetBaselineOutputValue() float64

func (*Attribution) GetFeatureAttributions

func (x *Attribution) GetFeatureAttributions() *structpb.Value

func (*Attribution) GetInstanceOutputValue

func (x *Attribution) GetInstanceOutputValue() float64

func (*Attribution) GetOutputDisplayName

func (x *Attribution) GetOutputDisplayName() string

func (*Attribution) GetOutputIndex

func (x *Attribution) GetOutputIndex() []int32

func (*Attribution) GetOutputName

func (x *Attribution) GetOutputName() string

func (*Attribution) ProtoMessage

func (*Attribution) ProtoMessage()

func (*Attribution) ProtoReflect

func (x *Attribution) ProtoReflect() protoreflect.Message

func (*Attribution) Reset

func (x *Attribution) Reset()

func (*Attribution) String

func (x *Attribution) String() string

AutomaticResources

type AutomaticResources struct {

	// Immutable. The minimum number of replicas this DeployedModel will be always
	// deployed on. If traffic against it increases, it may dynamically be
	// deployed onto more replicas up to
	// [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count],
	// and as traffic decreases, some of these extra replicas may be freed. If the
	// requested value is too large, the deployment will error.
	MinReplicaCount int32 `protobuf:"varint,1,opt,name=min_replica_count,json=minReplicaCount,proto3" json:"min_replica_count,omitempty"`
	// Immutable. The maximum number of replicas this DeployedModel may be
	// deployed on when the traffic against it increases. If the requested value
	// is too large, the deployment will error, but if deployment succeeds then
	// the ability to scale the model to that many replicas is guaranteed (barring
	// service outages). If traffic against the DeployedModel increases beyond
	// what its replicas at maximum may handle, a portion of the traffic will be
	// dropped. If this value is not provided, a no upper bound for scaling under
	// heavy traffic will be assume, though Vertex AI may be unable to scale
	// beyond certain replica number.
	MaxReplicaCount int32 `protobuf:"varint,2,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
	// contains filtered or unexported fields
}

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration. Each Model supporting these resources documents its specific guidelines.

func (*AutomaticResources) Descriptor

func (*AutomaticResources) Descriptor() ([]byte, []int)

Deprecated: Use AutomaticResources.ProtoReflect.Descriptor instead.

func (*AutomaticResources) GetMaxReplicaCount

func (x *AutomaticResources) GetMaxReplicaCount() int32

func (*AutomaticResources) GetMinReplicaCount

func (x *AutomaticResources) GetMinReplicaCount() int32

func (*AutomaticResources) ProtoMessage

func (*AutomaticResources) ProtoMessage()

func (*AutomaticResources) ProtoReflect

func (x *AutomaticResources) ProtoReflect() protoreflect.Message

func (*AutomaticResources) Reset

func (x *AutomaticResources) Reset()

func (*AutomaticResources) String

func (x *AutomaticResources) String() string

AutoscalingMetricSpec

type AutoscalingMetricSpec struct {

	// Required. The resource metric name.
	// Supported metrics:
	//
	// * For Online Prediction:
	// * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle`
	// * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
	MetricName string `protobuf:"bytes,1,opt,name=metric_name,json=metricName,proto3" json:"metric_name,omitempty"`
	// The target resource utilization in percentage (1% - 100%) for the given
	// metric; once the real usage deviates from the target by a certain
	// percentage, the machine replicas change. The default value is 60
	// (representing 60%) if not provided.
	Target int32 `protobuf:"varint,2,opt,name=target,proto3" json:"target,omitempty"`
	// contains filtered or unexported fields
}

The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.

func (*AutoscalingMetricSpec) Descriptor

func (*AutoscalingMetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use AutoscalingMetricSpec.ProtoReflect.Descriptor instead.

func (*AutoscalingMetricSpec) GetMetricName

func (x *AutoscalingMetricSpec) GetMetricName() string

func (*AutoscalingMetricSpec) GetTarget

func (x *AutoscalingMetricSpec) GetTarget() int32

func (*AutoscalingMetricSpec) ProtoMessage

func (*AutoscalingMetricSpec) ProtoMessage()

func (*AutoscalingMetricSpec) ProtoReflect

func (x *AutoscalingMetricSpec) ProtoReflect() protoreflect.Message

func (*AutoscalingMetricSpec) Reset

func (x *AutoscalingMetricSpec) Reset()

func (*AutoscalingMetricSpec) String

func (x *AutoscalingMetricSpec) String() string

AvroSource

type AvroSource struct {

	// Required. Google Cloud Storage location.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
	// contains filtered or unexported fields
}

The storage details for Avro input content.

func (*AvroSource) Descriptor

func (*AvroSource) Descriptor() ([]byte, []int)

Deprecated: Use AvroSource.ProtoReflect.Descriptor instead.

func (*AvroSource) GetGcsSource

func (x *AvroSource) GetGcsSource() *GcsSource

func (*AvroSource) ProtoMessage

func (*AvroSource) ProtoMessage()

func (*AvroSource) ProtoReflect

func (x *AvroSource) ProtoReflect() protoreflect.Message

func (*AvroSource) Reset

func (x *AvroSource) Reset()

func (*AvroSource) String

func (x *AvroSource) String() string

BatchCreateFeaturesOperationMetadata

type BatchCreateFeaturesOperationMetadata struct {

	// Operation metadata for Feature.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform batch create Features.

func (*BatchCreateFeaturesOperationMetadata) Descriptor

func (*BatchCreateFeaturesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateFeaturesOperationMetadata.ProtoReflect.Descriptor instead.

func (*BatchCreateFeaturesOperationMetadata) GetGenericMetadata

func (x *BatchCreateFeaturesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*BatchCreateFeaturesOperationMetadata) ProtoMessage

func (*BatchCreateFeaturesOperationMetadata) ProtoMessage()

func (*BatchCreateFeaturesOperationMetadata) ProtoReflect

func (x *BatchCreateFeaturesOperationMetadata) ProtoReflect() protoreflect.Message

func (*BatchCreateFeaturesOperationMetadata) Reset

func (x *BatchCreateFeaturesOperationMetadata) Reset()

func (*BatchCreateFeaturesOperationMetadata) String

func (x *BatchCreateFeaturesOperationMetadata) String() string

BatchCreateFeaturesRequest

type BatchCreateFeaturesRequest struct {

	// Required. The resource name of the EntityType to create the batch of
	// Features under. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request message specifying the Features to create. All
	// Features must be created under the same parent EntityType. The `parent`
	// field in each child request message can be omitted. If `parent` is set in a
	// child request, then the value must match the `parent` value in this request
	// message.
	Requests []*CreateFeatureRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].

func (*BatchCreateFeaturesRequest) Descriptor

func (*BatchCreateFeaturesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateFeaturesRequest.ProtoReflect.Descriptor instead.

func (*BatchCreateFeaturesRequest) GetParent

func (x *BatchCreateFeaturesRequest) GetParent() string

func (*BatchCreateFeaturesRequest) GetRequests

func (x *BatchCreateFeaturesRequest) GetRequests() []*CreateFeatureRequest

func (*BatchCreateFeaturesRequest) ProtoMessage

func (*BatchCreateFeaturesRequest) ProtoMessage()

func (*BatchCreateFeaturesRequest) ProtoReflect

func (x *BatchCreateFeaturesRequest) ProtoReflect() protoreflect.Message

func (*BatchCreateFeaturesRequest) Reset

func (x *BatchCreateFeaturesRequest) Reset()

func (*BatchCreateFeaturesRequest) String

func (x *BatchCreateFeaturesRequest) String() string

BatchCreateFeaturesResponse

type BatchCreateFeaturesResponse struct {

	// The Features created.
	Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].

func (*BatchCreateFeaturesResponse) Descriptor

func (*BatchCreateFeaturesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateFeaturesResponse.ProtoReflect.Descriptor instead.

func (*BatchCreateFeaturesResponse) GetFeatures

func (x *BatchCreateFeaturesResponse) GetFeatures() []*Feature

func (*BatchCreateFeaturesResponse) ProtoMessage

func (*BatchCreateFeaturesResponse) ProtoMessage()

func (*BatchCreateFeaturesResponse) ProtoReflect

func (x *BatchCreateFeaturesResponse) ProtoReflect() protoreflect.Message

func (*BatchCreateFeaturesResponse) Reset

func (x *BatchCreateFeaturesResponse) Reset()

func (*BatchCreateFeaturesResponse) String

func (x *BatchCreateFeaturesResponse) String() string

BatchCreateTensorboardRunsRequest

type BatchCreateTensorboardRunsRequest struct {

	// Required. The resource name of the TensorboardExperiment to create the
	// TensorboardRuns in. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	// The parent field in the CreateTensorboardRunRequest messages must match
	// this field.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request message specifying the TensorboardRuns to create.
	// A maximum of 1000 TensorboardRuns can be created in a batch.
	Requests []*CreateTensorboardRunRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].

func (*BatchCreateTensorboardRunsRequest) Descriptor

func (*BatchCreateTensorboardRunsRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateTensorboardRunsRequest.ProtoReflect.Descriptor instead.

func (*BatchCreateTensorboardRunsRequest) GetParent

func (x *BatchCreateTensorboardRunsRequest) GetParent() string

func (*BatchCreateTensorboardRunsRequest) GetRequests

func (x *BatchCreateTensorboardRunsRequest) GetRequests() []*CreateTensorboardRunRequest

func (*BatchCreateTensorboardRunsRequest) ProtoMessage

func (*BatchCreateTensorboardRunsRequest) ProtoMessage()

func (*BatchCreateTensorboardRunsRequest) ProtoReflect

func (x *BatchCreateTensorboardRunsRequest) ProtoReflect() protoreflect.Message

func (*BatchCreateTensorboardRunsRequest) Reset

func (x *BatchCreateTensorboardRunsRequest) Reset()

func (*BatchCreateTensorboardRunsRequest) String

func (x *BatchCreateTensorboardRunsRequest) String() string

BatchCreateTensorboardRunsResponse

type BatchCreateTensorboardRunsResponse struct {

	// The created TensorboardRuns.
	TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].

func (*BatchCreateTensorboardRunsResponse) Descriptor

func (*BatchCreateTensorboardRunsResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateTensorboardRunsResponse.ProtoReflect.Descriptor instead.

func (*BatchCreateTensorboardRunsResponse) GetTensorboardRuns

func (x *BatchCreateTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun

func (*BatchCreateTensorboardRunsResponse) ProtoMessage

func (*BatchCreateTensorboardRunsResponse) ProtoMessage()

func (*BatchCreateTensorboardRunsResponse) ProtoReflect

func (x *BatchCreateTensorboardRunsResponse) ProtoReflect() protoreflect.Message

func (*BatchCreateTensorboardRunsResponse) Reset

func (x *BatchCreateTensorboardRunsResponse) Reset()

func (*BatchCreateTensorboardRunsResponse) String

func (x *BatchCreateTensorboardRunsResponse) String() string

BatchCreateTensorboardTimeSeriesRequest

type BatchCreateTensorboardTimeSeriesRequest struct {

	// Required. The resource name of the TensorboardExperiment to create the
	// TensorboardTimeSeries in.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	// The TensorboardRuns referenced by the parent fields in the
	// CreateTensorboardTimeSeriesRequest messages must be sub resources of this
	// TensorboardExperiment.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request message specifying the TensorboardTimeSeries to
	// create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
	Requests []*CreateTensorboardTimeSeriesRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].

func (*BatchCreateTensorboardTimeSeriesRequest) Descriptor

func (*BatchCreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*BatchCreateTensorboardTimeSeriesRequest) GetParent

func (x *BatchCreateTensorboardTimeSeriesRequest) GetParent() string

func (*BatchCreateTensorboardTimeSeriesRequest) GetRequests

func (x *BatchCreateTensorboardTimeSeriesRequest) GetRequests() []*CreateTensorboardTimeSeriesRequest

func (*BatchCreateTensorboardTimeSeriesRequest) ProtoMessage

func (*BatchCreateTensorboardTimeSeriesRequest) ProtoMessage()

func (*BatchCreateTensorboardTimeSeriesRequest) ProtoReflect

func (x *BatchCreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*BatchCreateTensorboardTimeSeriesRequest) Reset

func (x *BatchCreateTensorboardTimeSeriesRequest) Reset()

func (*BatchCreateTensorboardTimeSeriesRequest) String

func (x *BatchCreateTensorboardTimeSeriesRequest) String() string

BatchCreateTensorboardTimeSeriesResponse

type BatchCreateTensorboardTimeSeriesResponse struct {

	// The created TensorboardTimeSeries.
	TensorboardTimeSeries []*TensorboardTimeSeries `protobuf:"bytes,1,rep,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].

func (*BatchCreateTensorboardTimeSeriesResponse) Descriptor

func (*BatchCreateTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead.

func (*BatchCreateTensorboardTimeSeriesResponse) GetTensorboardTimeSeries

func (x *BatchCreateTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries

func (*BatchCreateTensorboardTimeSeriesResponse) ProtoMessage

func (*BatchCreateTensorboardTimeSeriesResponse) ProtoMessage()

func (*BatchCreateTensorboardTimeSeriesResponse) ProtoReflect

func (x *BatchCreateTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message

func (*BatchCreateTensorboardTimeSeriesResponse) Reset

func (x *BatchCreateTensorboardTimeSeriesResponse) Reset()

func (*BatchCreateTensorboardTimeSeriesResponse) String

func (x *BatchCreateTensorboardTimeSeriesResponse) String() string

BatchDedicatedResources

type BatchDedicatedResources struct {

	// Required. Immutable. The specification of a single machine.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Immutable. The number of machine replicas used at the start of the batch
	// operation. If not set, Vertex AI decides starting number, not greater than
	// [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
	StartingReplicaCount int32 `protobuf:"varint,2,opt,name=starting_replica_count,json=startingReplicaCount,proto3" json:"starting_replica_count,omitempty"`
	// Immutable. The maximum number of machine replicas the batch operation may
	// be scaled to. The default value is 10.
	MaxReplicaCount int32 `protobuf:"varint,3,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
	// contains filtered or unexported fields
}

A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.

func (*BatchDedicatedResources) Descriptor

func (*BatchDedicatedResources) Descriptor() ([]byte, []int)

Deprecated: Use BatchDedicatedResources.ProtoReflect.Descriptor instead.

func (*BatchDedicatedResources) GetMachineSpec

func (x *BatchDedicatedResources) GetMachineSpec() *MachineSpec

func (*BatchDedicatedResources) GetMaxReplicaCount

func (x *BatchDedicatedResources) GetMaxReplicaCount() int32

func (*BatchDedicatedResources) GetStartingReplicaCount

func (x *BatchDedicatedResources) GetStartingReplicaCount() int32

func (*BatchDedicatedResources) ProtoMessage

func (*BatchDedicatedResources) ProtoMessage()

func (*BatchDedicatedResources) ProtoReflect

func (x *BatchDedicatedResources) ProtoReflect() protoreflect.Message

func (*BatchDedicatedResources) Reset

func (x *BatchDedicatedResources) Reset()

func (*BatchDedicatedResources) String

func (x *BatchDedicatedResources) String() string

BatchImportEvaluatedAnnotationsRequest

type BatchImportEvaluatedAnnotationsRequest struct {

	// Required. The name of the parent ModelEvaluationSlice resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. Evaluated annotations resource to be imported.
	EvaluatedAnnotations []*EvaluatedAnnotation `protobuf:"bytes,2,rep,name=evaluated_annotations,json=evaluatedAnnotations,proto3" json:"evaluated_annotations,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]

func (*BatchImportEvaluatedAnnotationsRequest) Descriptor

func (*BatchImportEvaluatedAnnotationsRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchImportEvaluatedAnnotationsRequest.ProtoReflect.Descriptor instead.

func (*BatchImportEvaluatedAnnotationsRequest) GetEvaluatedAnnotations

func (x *BatchImportEvaluatedAnnotationsRequest) GetEvaluatedAnnotations() []*EvaluatedAnnotation

func (*BatchImportEvaluatedAnnotationsRequest) GetParent

func (x *BatchImportEvaluatedAnnotationsRequest) GetParent() string

func (*BatchImportEvaluatedAnnotationsRequest) ProtoMessage

func (*BatchImportEvaluatedAnnotationsRequest) ProtoMessage()

func (*BatchImportEvaluatedAnnotationsRequest) ProtoReflect

func (x *BatchImportEvaluatedAnnotationsRequest) ProtoReflect() protoreflect.Message

func (*BatchImportEvaluatedAnnotationsRequest) Reset

func (x *BatchImportEvaluatedAnnotationsRequest) Reset()

func (*BatchImportEvaluatedAnnotationsRequest) String

func (x *BatchImportEvaluatedAnnotationsRequest) String() string

BatchImportEvaluatedAnnotationsResponse

type BatchImportEvaluatedAnnotationsResponse struct {
	ImportedEvaluatedAnnotationsCount int32 "" /* 165 byte string literal not displayed */

}

Response message for [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]

func (*BatchImportEvaluatedAnnotationsResponse) Descriptor

func (*BatchImportEvaluatedAnnotationsResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchImportEvaluatedAnnotationsResponse.ProtoReflect.Descriptor instead.

func (*BatchImportEvaluatedAnnotationsResponse) GetImportedEvaluatedAnnotationsCount

func (x *BatchImportEvaluatedAnnotationsResponse) GetImportedEvaluatedAnnotationsCount() int32

func (*BatchImportEvaluatedAnnotationsResponse) ProtoMessage

func (*BatchImportEvaluatedAnnotationsResponse) ProtoMessage()

func (*BatchImportEvaluatedAnnotationsResponse) ProtoReflect

func (x *BatchImportEvaluatedAnnotationsResponse) ProtoReflect() protoreflect.Message

func (*BatchImportEvaluatedAnnotationsResponse) Reset

func (x *BatchImportEvaluatedAnnotationsResponse) Reset()

func (*BatchImportEvaluatedAnnotationsResponse) String

func (x *BatchImportEvaluatedAnnotationsResponse) String() string

BatchImportModelEvaluationSlicesRequest

type BatchImportModelEvaluationSlicesRequest struct {

	// Required. The name of the parent ModelEvaluation resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. Model evaluation slice resource to be imported.
	ModelEvaluationSlices []*ModelEvaluationSlice `protobuf:"bytes,2,rep,name=model_evaluation_slices,json=modelEvaluationSlices,proto3" json:"model_evaluation_slices,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]

func (*BatchImportModelEvaluationSlicesRequest) Descriptor

func (*BatchImportModelEvaluationSlicesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchImportModelEvaluationSlicesRequest.ProtoReflect.Descriptor instead.

func (*BatchImportModelEvaluationSlicesRequest) GetModelEvaluationSlices

func (x *BatchImportModelEvaluationSlicesRequest) GetModelEvaluationSlices() []*ModelEvaluationSlice

func (*BatchImportModelEvaluationSlicesRequest) GetParent

func (x *BatchImportModelEvaluationSlicesRequest) GetParent() string

func (*BatchImportModelEvaluationSlicesRequest) ProtoMessage

func (*BatchImportModelEvaluationSlicesRequest) ProtoMessage()

func (*BatchImportModelEvaluationSlicesRequest) ProtoReflect

func (x *BatchImportModelEvaluationSlicesRequest) ProtoReflect() protoreflect.Message

func (*BatchImportModelEvaluationSlicesRequest) Reset

func (x *BatchImportModelEvaluationSlicesRequest) Reset()

func (*BatchImportModelEvaluationSlicesRequest) String

func (x *BatchImportModelEvaluationSlicesRequest) String() string

BatchImportModelEvaluationSlicesResponse

type BatchImportModelEvaluationSlicesResponse struct {
	ImportedModelEvaluationSlices []string "" /* 152 byte string literal not displayed */

}

Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]

func (*BatchImportModelEvaluationSlicesResponse) Descriptor

func (*BatchImportModelEvaluationSlicesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchImportModelEvaluationSlicesResponse.ProtoReflect.Descriptor instead.

func (*BatchImportModelEvaluationSlicesResponse) GetImportedModelEvaluationSlices

func (x *BatchImportModelEvaluationSlicesResponse) GetImportedModelEvaluationSlices() []string

func (*BatchImportModelEvaluationSlicesResponse) ProtoMessage

func (*BatchImportModelEvaluationSlicesResponse) ProtoMessage()

func (*BatchImportModelEvaluationSlicesResponse) ProtoReflect

func (x *BatchImportModelEvaluationSlicesResponse) ProtoReflect() protoreflect.Message

func (*BatchImportModelEvaluationSlicesResponse) Reset

func (x *BatchImportModelEvaluationSlicesResponse) Reset()

func (*BatchImportModelEvaluationSlicesResponse) String

func (x *BatchImportModelEvaluationSlicesResponse) String() string

BatchMigrateResourcesOperationMetadata

type BatchMigrateResourcesOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Partial results that reflect the latest migration operation progress.
	PartialResults []*BatchMigrateResourcesOperationMetadata_PartialResult `protobuf:"bytes,2,rep,name=partial_results,json=partialResults,proto3" json:"partial_results,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].

func (*BatchMigrateResourcesOperationMetadata) Descriptor

func (*BatchMigrateResourcesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesOperationMetadata.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesOperationMetadata) GetGenericMetadata

func (x *BatchMigrateResourcesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*BatchMigrateResourcesOperationMetadata) GetPartialResults

func (x *BatchMigrateResourcesOperationMetadata) GetPartialResults() []*BatchMigrateResourcesOperationMetadata_PartialResult

func (*BatchMigrateResourcesOperationMetadata) ProtoMessage

func (*BatchMigrateResourcesOperationMetadata) ProtoMessage()

func (*BatchMigrateResourcesOperationMetadata) ProtoReflect

func (x *BatchMigrateResourcesOperationMetadata) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesOperationMetadata) Reset

func (x *BatchMigrateResourcesOperationMetadata) Reset()

func (*BatchMigrateResourcesOperationMetadata) String

func (x *BatchMigrateResourcesOperationMetadata) String() string

BatchMigrateResourcesOperationMetadata_PartialResult

type BatchMigrateResourcesOperationMetadata_PartialResult struct {

	// If the resource's migration is ongoing, none of the result will be set.
	// If the resource's migration is finished, either error or one of the
	// migrated resource name will be filled.
	//
	// Types that are assignable to Result:
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Error
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Model
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Dataset
	Result isBatchMigrateResourcesOperationMetadata_PartialResult_Result `protobuf_oneof:"result"`
	// It's the same as the value in
	// [MigrateResourceRequest.migrate_resource_requests][].
	Request *MigrateResourceRequest `protobuf:"bytes,1,opt,name=request,proto3" json:"request,omitempty"`
	// contains filtered or unexported fields
}

Represents a partial result in batch migration operation for one [MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].

func (*BatchMigrateResourcesOperationMetadata_PartialResult) Descriptor

func (*BatchMigrateResourcesOperationMetadata_PartialResult) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesOperationMetadata_PartialResult.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset() string

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetError

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetError() *status.Status

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetModel

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetModel() string

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetRequest

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetRequest() *MigrateResourceRequest

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetResult

func (m *BatchMigrateResourcesOperationMetadata_PartialResult) GetResult() isBatchMigrateResourcesOperationMetadata_PartialResult_Result

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoMessage

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoMessage()

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoReflect

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesOperationMetadata_PartialResult) Reset

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) Reset()

func (*BatchMigrateResourcesOperationMetadata_PartialResult) String

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) String() string

BatchMigrateResourcesOperationMetadata_PartialResult_Dataset

type BatchMigrateResourcesOperationMetadata_PartialResult_Dataset struct {
	// Migrated dataset resource name.
	Dataset string `protobuf:"bytes,4,opt,name=dataset,proto3,oneof"`
}

BatchMigrateResourcesOperationMetadata_PartialResult_Error

type BatchMigrateResourcesOperationMetadata_PartialResult_Error struct {
	// The error result of the migration request in case of failure.
	Error *status.Status `protobuf:"bytes,2,opt,name=error,proto3,oneof"`
}

BatchMigrateResourcesOperationMetadata_PartialResult_Model

type BatchMigrateResourcesOperationMetadata_PartialResult_Model struct {
	// Migrated model resource name.
	Model string `protobuf:"bytes,3,opt,name=model,proto3,oneof"`
}

BatchMigrateResourcesRequest

type BatchMigrateResourcesRequest struct {
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`

	MigrateResourceRequests []*MigrateResourceRequest "" /* 132 byte string literal not displayed */

}

Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].

func (*BatchMigrateResourcesRequest) Descriptor

func (*BatchMigrateResourcesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesRequest.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesRequest) GetMigrateResourceRequests

func (x *BatchMigrateResourcesRequest) GetMigrateResourceRequests() []*MigrateResourceRequest

func (*BatchMigrateResourcesRequest) GetParent

func (x *BatchMigrateResourcesRequest) GetParent() string

func (*BatchMigrateResourcesRequest) ProtoMessage

func (*BatchMigrateResourcesRequest) ProtoMessage()

func (*BatchMigrateResourcesRequest) ProtoReflect

func (x *BatchMigrateResourcesRequest) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesRequest) Reset

func (x *BatchMigrateResourcesRequest) Reset()

func (*BatchMigrateResourcesRequest) String

func (x *BatchMigrateResourcesRequest) String() string

BatchMigrateResourcesResponse

type BatchMigrateResourcesResponse struct {
	MigrateResourceResponses []*MigrateResourceResponse "" /* 135 byte string literal not displayed */

}

Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].

func (*BatchMigrateResourcesResponse) Descriptor

func (*BatchMigrateResourcesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesResponse.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesResponse) GetMigrateResourceResponses

func (x *BatchMigrateResourcesResponse) GetMigrateResourceResponses() []*MigrateResourceResponse

func (*BatchMigrateResourcesResponse) ProtoMessage

func (*BatchMigrateResourcesResponse) ProtoMessage()

func (*BatchMigrateResourcesResponse) ProtoReflect

func (x *BatchMigrateResourcesResponse) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesResponse) Reset

func (x *BatchMigrateResourcesResponse) Reset()

func (*BatchMigrateResourcesResponse) String

func (x *BatchMigrateResourcesResponse) String() string

BatchPredictionJob

type BatchPredictionJob struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`

	ModelVersionId string `protobuf:"bytes,30,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`

	UnmanagedContainerModel *UnmanagedContainerModel "" /* 133 byte string literal not displayed */

	InputConfig *BatchPredictionJob_InputConfig `protobuf:"bytes,4,opt,name=input_config,json=inputConfig,proto3" json:"input_config,omitempty"`

	InstanceConfig *BatchPredictionJob_InstanceConfig `protobuf:"bytes,27,opt,name=instance_config,json=instanceConfig,proto3" json:"instance_config,omitempty"`

	ModelParameters *structpb.Value `protobuf:"bytes,5,opt,name=model_parameters,json=modelParameters,proto3" json:"model_parameters,omitempty"`

	OutputConfig *BatchPredictionJob_OutputConfig `protobuf:"bytes,6,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`

	DedicatedResources *BatchDedicatedResources `protobuf:"bytes,7,opt,name=dedicated_resources,json=dedicatedResources,proto3" json:"dedicated_resources,omitempty"`

	ServiceAccount string `protobuf:"bytes,29,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`

	ManualBatchTuningParameters *ManualBatchTuningParameters "" /* 146 byte string literal not displayed */

	GenerateExplanation bool `protobuf:"varint,23,opt,name=generate_explanation,json=generateExplanation,proto3" json:"generate_explanation,omitempty"`

	ExplanationSpec *ExplanationSpec `protobuf:"bytes,25,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`

	OutputInfo *BatchPredictionJob_OutputInfo `protobuf:"bytes,9,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"`

	State JobState `protobuf:"varint,10,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`

	Error *status.Status `protobuf:"bytes,11,opt,name=error,proto3" json:"error,omitempty"`

	PartialFailures []*status.Status `protobuf:"bytes,12,rep,name=partial_failures,json=partialFailures,proto3" json:"partial_failures,omitempty"`

	ResourcesConsumed *ResourcesConsumed `protobuf:"bytes,13,opt,name=resources_consumed,json=resourcesConsumed,proto3" json:"resources_consumed,omitempty"`

	CompletionStats *CompletionStats `protobuf:"bytes,14,opt,name=completion_stats,json=completionStats,proto3" json:"completion_stats,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,15,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	StartTime *timestamppb.Timestamp `protobuf:"bytes,16,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,17,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,18,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,24,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

	DisableContainerLogging bool "" /* 134 byte string literal not displayed */

}

A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If predictions for significant portion of the instances fail, the job may finish without attempting predictions for all remaining instances.

func (*BatchPredictionJob) Descriptor

func (*BatchPredictionJob) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob) GetCompletionStats

func (x *BatchPredictionJob) GetCompletionStats() *CompletionStats

func (*BatchPredictionJob) GetCreateTime

func (x *BatchPredictionJob) GetCreateTime() *timestamppb.Timestamp

func (*BatchPredictionJob) GetDedicatedResources

func (x *BatchPredictionJob) GetDedicatedResources() *BatchDedicatedResources

func (*BatchPredictionJob) GetDisableContainerLogging

func (x *BatchPredictionJob) GetDisableContainerLogging() bool

func (*BatchPredictionJob) GetDisplayName

func (x *BatchPredictionJob) GetDisplayName() string

func (*BatchPredictionJob) GetEncryptionSpec

func (x *BatchPredictionJob) GetEncryptionSpec() *EncryptionSpec

func (*BatchPredictionJob) GetEndTime

func (x *BatchPredictionJob) GetEndTime() *timestamppb.Timestamp

func (*BatchPredictionJob) GetError

func (x *BatchPredictionJob) GetError() *status.Status

func (*BatchPredictionJob) GetExplanationSpec

func (x *BatchPredictionJob) GetExplanationSpec() *ExplanationSpec

func (*BatchPredictionJob) GetGenerateExplanation

func (x *BatchPredictionJob) GetGenerateExplanation() bool

func (*BatchPredictionJob) GetInputConfig

func (x *BatchPredictionJob) GetInputConfig() *BatchPredictionJob_InputConfig

func (*BatchPredictionJob) GetInstanceConfig

func (x *BatchPredictionJob) GetInstanceConfig() *BatchPredictionJob_InstanceConfig

func (*BatchPredictionJob) GetLabels

func (x *BatchPredictionJob) GetLabels() map[string]string

func (*BatchPredictionJob) GetManualBatchTuningParameters

func (x *BatchPredictionJob) GetManualBatchTuningParameters() *ManualBatchTuningParameters

func (*BatchPredictionJob) GetModel

func (x *BatchPredictionJob) GetModel() string

func (*BatchPredictionJob) GetModelParameters

func (x *BatchPredictionJob) GetModelParameters() *structpb.Value

func (*BatchPredictionJob) GetModelVersionId

func (x *BatchPredictionJob) GetModelVersionId() string

func (*BatchPredictionJob) GetName

func (x *BatchPredictionJob) GetName() string

func (*BatchPredictionJob) GetOutputConfig

func (x *BatchPredictionJob) GetOutputConfig() *BatchPredictionJob_OutputConfig

func (*BatchPredictionJob) GetOutputInfo

func (x *BatchPredictionJob) GetOutputInfo() *BatchPredictionJob_OutputInfo

func (*BatchPredictionJob) GetPartialFailures

func (x *BatchPredictionJob) GetPartialFailures() []*status.Status

func (*BatchPredictionJob) GetResourcesConsumed

func (x *BatchPredictionJob) GetResourcesConsumed() *ResourcesConsumed

func (*BatchPredictionJob) GetServiceAccount

func (x *BatchPredictionJob) GetServiceAccount() string

func (*BatchPredictionJob) GetStartTime

func (x *BatchPredictionJob) GetStartTime() *timestamppb.Timestamp

func (*BatchPredictionJob) GetState

func (x *BatchPredictionJob) GetState() JobState

func (*BatchPredictionJob) GetUnmanagedContainerModel

func (x *BatchPredictionJob) GetUnmanagedContainerModel() *UnmanagedContainerModel

func (*BatchPredictionJob) GetUpdateTime

func (x *BatchPredictionJob) GetUpdateTime() *timestamppb.Timestamp

func (*BatchPredictionJob) ProtoMessage

func (*BatchPredictionJob) ProtoMessage()

func (*BatchPredictionJob) ProtoReflect

func (x *BatchPredictionJob) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob) Reset

func (x *BatchPredictionJob) Reset()

func (*BatchPredictionJob) String

func (x *BatchPredictionJob) String() string

BatchPredictionJob_InputConfig

type BatchPredictionJob_InputConfig struct {

	// Required. The source of the input.
	//
	// Types that are assignable to Source:
	//	*BatchPredictionJob_InputConfig_GcsSource
	//	*BatchPredictionJob_InputConfig_BigquerySource
	Source isBatchPredictionJob_InputConfig_Source `protobuf_oneof:"source"`
	// Required. The format in which instances are given, must be one of the
	// [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
	// [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
	InstancesFormat string `protobuf:"bytes,1,opt,name=instances_format,json=instancesFormat,proto3" json:"instances_format,omitempty"`
	// contains filtered or unexported fields
}

Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] for Model's supported input formats, and how instances should be expressed via any of them.

func (*BatchPredictionJob_InputConfig) Descriptor

func (*BatchPredictionJob_InputConfig) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_InputConfig.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_InputConfig) GetBigquerySource

func (x *BatchPredictionJob_InputConfig) GetBigquerySource() *BigQuerySource

func (*BatchPredictionJob_InputConfig) GetGcsSource

func (x *BatchPredictionJob_InputConfig) GetGcsSource() *GcsSource

func (*BatchPredictionJob_InputConfig) GetInstancesFormat

func (x *BatchPredictionJob_InputConfig) GetInstancesFormat() string

func (*BatchPredictionJob_InputConfig) GetSource

func (m *BatchPredictionJob_InputConfig) GetSource() isBatchPredictionJob_InputConfig_Source

func (*BatchPredictionJob_InputConfig) ProtoMessage

func (*BatchPredictionJob_InputConfig) ProtoMessage()

func (*BatchPredictionJob_InputConfig) ProtoReflect

func (x *BatchPredictionJob_InputConfig) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_InputConfig) Reset

func (x *BatchPredictionJob_InputConfig) Reset()

func (*BatchPredictionJob_InputConfig) String

func (x *BatchPredictionJob_InputConfig) String() string

BatchPredictionJob_InputConfig_BigquerySource

type BatchPredictionJob_InputConfig_BigquerySource struct {
	// The BigQuery location of the input table.
	// The schema of the table should be in the format described by the given
	// context OpenAPI Schema, if one is provided. The table may contain
	// additional columns that are not described by the schema, and they will
	// be ignored.
	BigquerySource *BigQuerySource `protobuf:"bytes,3,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}

BatchPredictionJob_InputConfig_GcsSource

type BatchPredictionJob_InputConfig_GcsSource struct {
	// The Cloud Storage location for the input instances.
	GcsSource *GcsSource `protobuf:"bytes,2,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

BatchPredictionJob_InstanceConfig

type BatchPredictionJob_InstanceConfig struct {

	// The format of the instance that the Model accepts. Vertex AI will
	// convert compatible
	// [batch prediction input instance
	// formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
	// to the specified format.
	//
	// Supported values are:
	//
	// * `object`: Each input is converted to JSON object format.
	//     * For `bigquery`, each row is converted to an object.
	//     * For `jsonl`, each line of the JSONL input must be an object.
	//     * Does not apply to `csv`, `file-list`, `tf-record`, or
	//       `tf-record-gzip`.
	//
	// * `array`: Each input is converted to JSON array format.
	//     * For `bigquery`, each row is converted to an array. The order
	//       of columns is determined by the BigQuery column order, unless
	//       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
	//       is populated.
	//       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
	//       must be populated for specifying field orders.
	//     * For `jsonl`, if each line of the JSONL input is an object,
	//       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
	//       must be populated for specifying field orders.
	//     * Does not apply to `csv`, `file-list`, `tf-record`, or
	//       `tf-record-gzip`.
	//
	// If not specified, Vertex AI converts the batch prediction input as
	// follows:
	//
	//  * For `bigquery` and `csv`, the behavior is the same as `array`. The
	//    order of columns is the same as defined in the file or table, unless
	//    [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
	//    is populated.
	//  * For `jsonl`, the prediction instance format is determined by
	//    each line of the input.
	//  * For `tf-record`/`tf-record-gzip`, each record will be converted to
	//    an object in the format of `{"b64": 

Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.

func (*BatchPredictionJob_InstanceConfig) Descriptor

func (*BatchPredictionJob_InstanceConfig) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_InstanceConfig.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_InstanceConfig) GetExcludedFields

func (x *BatchPredictionJob_InstanceConfig) GetExcludedFields() []string

func (*BatchPredictionJob_InstanceConfig) GetIncludedFields

func (x *BatchPredictionJob_InstanceConfig) GetIncludedFields() []string

func (*BatchPredictionJob_InstanceConfig) GetInstanceType

func (x *BatchPredictionJob_InstanceConfig) GetInstanceType() string

func (*BatchPredictionJob_InstanceConfig) GetKeyField

func (x *BatchPredictionJob_InstanceConfig) GetKeyField() string

func (*BatchPredictionJob_InstanceConfig) ProtoMessage

func (*BatchPredictionJob_InstanceConfig) ProtoMessage()

func (*BatchPredictionJob_InstanceConfig) ProtoReflect

func (x *BatchPredictionJob_InstanceConfig) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_InstanceConfig) Reset

func (x *BatchPredictionJob_InstanceConfig) Reset()

func (*BatchPredictionJob_InstanceConfig) String

func (x *BatchPredictionJob_InstanceConfig) String() string

BatchPredictionJob_OutputConfig

type BatchPredictionJob_OutputConfig struct {

	// Required. The destination of the output.
	//
	// Types that are assignable to Destination:
	//	*BatchPredictionJob_OutputConfig_GcsDestination
	//	*BatchPredictionJob_OutputConfig_BigqueryDestination
	Destination isBatchPredictionJob_OutputConfig_Destination `protobuf_oneof:"destination"`
	// Required. The format in which Vertex AI gives the predictions, must be
	// one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
	// [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
	PredictionsFormat string `protobuf:"bytes,1,opt,name=predictions_format,json=predictionsFormat,proto3" json:"predictions_format,omitempty"`
	// contains filtered or unexported fields
}

Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats] for supported output formats, and how predictions are expressed via any of them.

func (*BatchPredictionJob_OutputConfig) Descriptor

func (*BatchPredictionJob_OutputConfig) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_OutputConfig.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_OutputConfig) GetBigqueryDestination

func (x *BatchPredictionJob_OutputConfig) GetBigqueryDestination() *BigQueryDestination

func (*BatchPredictionJob_OutputConfig) GetDestination

func (m *BatchPredictionJob_OutputConfig) GetDestination() isBatchPredictionJob_OutputConfig_Destination

func (*BatchPredictionJob_OutputConfig) GetGcsDestination

func (x *BatchPredictionJob_OutputConfig) GetGcsDestination() *GcsDestination

func (*BatchPredictionJob_OutputConfig) GetPredictionsFormat

func (x *BatchPredictionJob_OutputConfig) GetPredictionsFormat() string

func (*BatchPredictionJob_OutputConfig) ProtoMessage

func (*BatchPredictionJob_OutputConfig) ProtoMessage()

func (*BatchPredictionJob_OutputConfig) ProtoReflect

func (x *BatchPredictionJob_OutputConfig) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_OutputConfig) Reset

func (x *BatchPredictionJob_OutputConfig) Reset()

func (*BatchPredictionJob_OutputConfig) String

func (x *BatchPredictionJob_OutputConfig) String() string

BatchPredictionJob_OutputConfig_BigqueryDestination

type BatchPredictionJob_OutputConfig_BigqueryDestination struct {
	// The BigQuery project or dataset location where the output is to be
	// written to. If project is provided, a new dataset is created with name
	// `prediction_

BatchPredictionJob_OutputConfig_GcsDestination

type BatchPredictionJob_OutputConfig_GcsDestination struct {
	// The Cloud Storage location of the directory where the output is
	// to be written to. In the given directory a new directory is created.
	// Its name is `prediction-

BatchPredictionJob_OutputInfo

type BatchPredictionJob_OutputInfo struct {

	// The output location into which prediction output is written.
	//
	// Types that are assignable to OutputLocation:
	//	*BatchPredictionJob_OutputInfo_GcsOutputDirectory
	//	*BatchPredictionJob_OutputInfo_BigqueryOutputDataset
	OutputLocation isBatchPredictionJob_OutputInfo_OutputLocation `protobuf_oneof:"output_location"`
	// Output only. The name of the BigQuery table created, in
	// `predictions_

Further describes this job's output. Supplements [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].

func (*BatchPredictionJob_OutputInfo) Descriptor

func (*BatchPredictionJob_OutputInfo) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_OutputInfo.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_OutputInfo) GetBigqueryOutputDataset

func (x *BatchPredictionJob_OutputInfo) GetBigqueryOutputDataset() string

func (*BatchPredictionJob_OutputInfo) GetBigqueryOutputTable

func (x *BatchPredictionJob_OutputInfo) GetBigqueryOutputTable() string

func (*BatchPredictionJob_OutputInfo) GetGcsOutputDirectory

func (x *BatchPredictionJob_OutputInfo) GetGcsOutputDirectory() string

func (*BatchPredictionJob_OutputInfo) GetOutputLocation

func (m *BatchPredictionJob_OutputInfo) GetOutputLocation() isBatchPredictionJob_OutputInfo_OutputLocation

func (*BatchPredictionJob_OutputInfo) ProtoMessage

func (*BatchPredictionJob_OutputInfo) ProtoMessage()

func (*BatchPredictionJob_OutputInfo) ProtoReflect

func (x *BatchPredictionJob_OutputInfo) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_OutputInfo) Reset

func (x *BatchPredictionJob_OutputInfo) Reset()

func (*BatchPredictionJob_OutputInfo) String

func (x *BatchPredictionJob_OutputInfo) String() string

BatchPredictionJob_OutputInfo_BigqueryOutputDataset

type BatchPredictionJob_OutputInfo_BigqueryOutputDataset struct {
	// Output only. The path of the BigQuery dataset created, in
	// `bq://projectId.bqDatasetId`
	// format, into which the prediction output is written.
	BigqueryOutputDataset string `protobuf:"bytes,2,opt,name=bigquery_output_dataset,json=bigqueryOutputDataset,proto3,oneof"`
}

BatchPredictionJob_OutputInfo_GcsOutputDirectory

type BatchPredictionJob_OutputInfo_GcsOutputDirectory struct {
	// Output only. The full path of the Cloud Storage directory created, into
	// which the prediction output is written.
	GcsOutputDirectory string `protobuf:"bytes,1,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3,oneof"`
}

BatchReadFeatureValuesOperationMetadata

type BatchReadFeatureValuesOperationMetadata struct {

	// Operation metadata for Featurestore batch read Features values.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that batch reads Feature values.

func (*BatchReadFeatureValuesOperationMetadata) Descriptor

func (*BatchReadFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesOperationMetadata) GetGenericMetadata

func (x *BatchReadFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*BatchReadFeatureValuesOperationMetadata) ProtoMessage

func (*BatchReadFeatureValuesOperationMetadata) ProtoMessage()

func (*BatchReadFeatureValuesOperationMetadata) ProtoReflect

func (x *BatchReadFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesOperationMetadata) Reset

func (x *BatchReadFeatureValuesOperationMetadata) Reset()

func (*BatchReadFeatureValuesOperationMetadata) String

func (x *BatchReadFeatureValuesOperationMetadata) String() string

BatchReadFeatureValuesRequest

type BatchReadFeatureValuesRequest struct {

	// Types that are assignable to ReadOption:
	//	*BatchReadFeatureValuesRequest_CsvReadInstances
	//	*BatchReadFeatureValuesRequest_BigqueryReadInstances
	ReadOption isBatchReadFeatureValuesRequest_ReadOption `protobuf_oneof:"read_option"`
	// Required. The resource name of the Featurestore from which to query Feature
	// values. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Featurestore string `protobuf:"bytes,1,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
	// Required. Specifies output location and format.
	Destination *FeatureValueDestination `protobuf:"bytes,4,opt,name=destination,proto3" json:"destination,omitempty"`
	// When not empty, the specified fields in the *_read_instances source will be
	// joined as-is in the output, in addition to those fields from the
	// Featurestore Entity.
	//
	// For BigQuery source, the type of the pass-through values will be
	// automatically inferred. For CSV source, the pass-through values will be
	// passed as opaque bytes.
	PassThroughFields []*BatchReadFeatureValuesRequest_PassThroughField `protobuf:"bytes,8,rep,name=pass_through_fields,json=passThroughFields,proto3" json:"pass_through_fields,omitempty"`
	// Required. Specifies EntityType grouping Features to read values of and
	// settings.
	EntityTypeSpecs []*BatchReadFeatureValuesRequest_EntityTypeSpec `protobuf:"bytes,7,rep,name=entity_type_specs,json=entityTypeSpecs,proto3" json:"entity_type_specs,omitempty"`
	// Optional. Excludes Feature values with feature generation timestamp before
	// this timestamp. If not set, retrieve oldest values kept in Feature Store.
	// Timestamp, if present, must not have higher than millisecond precision.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].

func (*BatchReadFeatureValuesRequest) Descriptor

func (*BatchReadFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesRequest) GetBigqueryReadInstances

func (x *BatchReadFeatureValuesRequest) GetBigqueryReadInstances() *BigQuerySource

func (*BatchReadFeatureValuesRequest) GetCsvReadInstances

func (x *BatchReadFeatureValuesRequest) GetCsvReadInstances() *CsvSource

func (*BatchReadFeatureValuesRequest) GetDestination

func (x *BatchReadFeatureValuesRequest) GetDestination() *FeatureValueDestination

func (*BatchReadFeatureValuesRequest) GetEntityTypeSpecs

func (x *BatchReadFeatureValuesRequest) GetEntityTypeSpecs() []*BatchReadFeatureValuesRequest_EntityTypeSpec

func (*BatchReadFeatureValuesRequest) GetFeaturestore

func (x *BatchReadFeatureValuesRequest) GetFeaturestore() string

func (*BatchReadFeatureValuesRequest) GetPassThroughFields

func (x *BatchReadFeatureValuesRequest) GetPassThroughFields() []*BatchReadFeatureValuesRequest_PassThroughField

func (*BatchReadFeatureValuesRequest) GetReadOption

func (m *BatchReadFeatureValuesRequest) GetReadOption() isBatchReadFeatureValuesRequest_ReadOption

func (*BatchReadFeatureValuesRequest) GetStartTime

func (x *BatchReadFeatureValuesRequest) GetStartTime() *timestamppb.Timestamp

func (*BatchReadFeatureValuesRequest) ProtoMessage

func (*BatchReadFeatureValuesRequest) ProtoMessage()

func (*BatchReadFeatureValuesRequest) ProtoReflect

func (x *BatchReadFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesRequest) Reset

func (x *BatchReadFeatureValuesRequest) Reset()

func (*BatchReadFeatureValuesRequest) String

func (x *BatchReadFeatureValuesRequest) String() string

BatchReadFeatureValuesRequest_BigqueryReadInstances

type BatchReadFeatureValuesRequest_BigqueryReadInstances struct {
	// Similar to csv_read_instances, but from BigQuery source.
	BigqueryReadInstances *BigQuerySource `protobuf:"bytes,5,opt,name=bigquery_read_instances,json=bigqueryReadInstances,proto3,oneof"`
}

BatchReadFeatureValuesRequest_CsvReadInstances

type BatchReadFeatureValuesRequest_CsvReadInstances struct {
	// Each read instance consists of exactly one read timestamp and one or more
	// entity IDs identifying entities of the corresponding EntityTypes whose
	// Features are requested.
	//
	// Each output instance contains Feature values of requested entities
	// concatenated together as of the read time.
	//
	// An example read instance may be `foo_entity_id, bar_entity_id,
	// 2020-01-01T10:00:00.123Z`.
	//
	// An example output instance may be `foo_entity_id, bar_entity_id,
	// 2020-01-01T10:00:00.123Z, foo_entity_feature1_value,
	// bar_entity_feature2_value`.
	//
	// Timestamp in each read instance must be millisecond-aligned.
	//
	// `csv_read_instances` are read instances stored in a plain-text CSV file.
	// The header should be:
	//     [ENTITY_TYPE_ID1], [ENTITY_TYPE_ID2], ..., timestamp
	//
	// The columns can be in any order.
	//
	// Values in the timestamp column must use the RFC 3339 format, e.g.
	// `2012-07-30T10:43:17.123Z`.
	CsvReadInstances *CsvSource `protobuf:"bytes,3,opt,name=csv_read_instances,json=csvReadInstances,proto3,oneof"`
}

BatchReadFeatureValuesRequest_EntityTypeSpec

type BatchReadFeatureValuesRequest_EntityTypeSpec struct {

	// Required. ID of the EntityType to select Features. The EntityType id is
	// the
	// [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
	// specified during EntityType creation.
	EntityTypeId string `protobuf:"bytes,1,opt,name=entity_type_id,json=entityTypeId,proto3" json:"entity_type_id,omitempty"`
	// Required. Selectors choosing which Feature values to read from the
	// EntityType.
	FeatureSelector *FeatureSelector `protobuf:"bytes,2,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// Per-Feature settings for the batch read.
	Settings []*DestinationFeatureSetting `protobuf:"bytes,3,rep,name=settings,proto3" json:"settings,omitempty"`
	// contains filtered or unexported fields
}

Selects Features of an EntityType to read values of and specifies read settings.

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Descriptor

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesRequest_EntityTypeSpec.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetEntityTypeId

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetEntityTypeId() string

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetFeatureSelector

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetFeatureSelector() *FeatureSelector

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetSettings

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetSettings() []*DestinationFeatureSetting

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoMessage

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoMessage()

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoReflect

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Reset

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) Reset()

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) String

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) String() string

BatchReadFeatureValuesRequest_PassThroughField

type BatchReadFeatureValuesRequest_PassThroughField struct {

	// Required. The name of the field in the CSV header or the name of the
	// column in BigQuery table. The naming restriction is the same as
	// [Feature.name][google.cloud.aiplatform.v1.Feature.name].
	FieldName string `protobuf:"bytes,1,opt,name=field_name,json=fieldName,proto3" json:"field_name,omitempty"`
	// contains filtered or unexported fields
}

Describe pass-through fields in read_instance source.

func (*BatchReadFeatureValuesRequest_PassThroughField) Descriptor

func (*BatchReadFeatureValuesRequest_PassThroughField) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesRequest_PassThroughField.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesRequest_PassThroughField) GetFieldName

func (x *BatchReadFeatureValuesRequest_PassThroughField) GetFieldName() string

func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoMessage

func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoMessage()

func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoReflect

func (x *BatchReadFeatureValuesRequest_PassThroughField) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesRequest_PassThroughField) Reset

func (x *BatchReadFeatureValuesRequest_PassThroughField) Reset()

func (*BatchReadFeatureValuesRequest_PassThroughField) String

func (x *BatchReadFeatureValuesRequest_PassThroughField) String() string

BatchReadFeatureValuesResponse

type BatchReadFeatureValuesResponse struct {
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].

func (*BatchReadFeatureValuesResponse) Descriptor

func (*BatchReadFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesResponse) ProtoMessage

func (*BatchReadFeatureValuesResponse) ProtoMessage()

func (*BatchReadFeatureValuesResponse) ProtoReflect

func (x *BatchReadFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesResponse) Reset

func (x *BatchReadFeatureValuesResponse) Reset()

func (*BatchReadFeatureValuesResponse) String

func (x *BatchReadFeatureValuesResponse) String() string

BatchReadTensorboardTimeSeriesDataRequest

type BatchReadTensorboardTimeSeriesDataRequest struct {

	// Required. The resource name of the Tensorboard containing
	// TensorboardTimeSeries to read data from. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
	// The TensorboardTimeSeries referenced by
	// [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
	// must be sub resources of this Tensorboard.
	Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// Required. The resource names of the TensorboardTimeSeries to read data
	// from. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TimeSeries []string `protobuf:"bytes,2,rep,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].

func (*BatchReadTensorboardTimeSeriesDataRequest) Descriptor

func (*BatchReadTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.

func (*BatchReadTensorboardTimeSeriesDataRequest) GetTensorboard

func (x *BatchReadTensorboardTimeSeriesDataRequest) GetTensorboard() string

func (*BatchReadTensorboardTimeSeriesDataRequest) GetTimeSeries

func (x *BatchReadTensorboardTimeSeriesDataRequest) GetTimeSeries() []string

func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoMessage

func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoMessage()

func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoReflect

func (x *BatchReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message

func (*BatchReadTensorboardTimeSeriesDataRequest) Reset

func (x *BatchReadTensorboardTimeSeriesDataRequest) Reset()

func (*BatchReadTensorboardTimeSeriesDataRequest) String

func (x *BatchReadTensorboardTimeSeriesDataRequest) String() string

BatchReadTensorboardTimeSeriesDataResponse

type BatchReadTensorboardTimeSeriesDataResponse struct {

	// The returned time series data.
	TimeSeriesData []*TimeSeriesData `protobuf:"bytes,1,rep,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].

func (*BatchReadTensorboardTimeSeriesDataResponse) Descriptor

func (*BatchReadTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.

func (*BatchReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData

func (x *BatchReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() []*TimeSeriesData

func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoMessage

func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoMessage()

func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoReflect

func (x *BatchReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message

func (*BatchReadTensorboardTimeSeriesDataResponse) Reset

func (x *BatchReadTensorboardTimeSeriesDataResponse) Reset()

func (*BatchReadTensorboardTimeSeriesDataResponse) String

func (x *BatchReadTensorboardTimeSeriesDataResponse) String() string

BigQueryDestination

type BigQueryDestination struct {

	// Required. BigQuery URI to a project or table, up to 2000 characters long.
	//
	// When only the project is specified, the Dataset and Table is created.
	// When the full table reference is specified, the Dataset must exist and
	// table must not exist.
	//
	// Accepted forms:
	//
	// *  BigQuery path. For example:
	// `bq://projectId` or `bq://projectId.bqDatasetId` or
	// `bq://projectId.bqDatasetId.bqTableId`.
	OutputUri string `protobuf:"bytes,1,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
	// contains filtered or unexported fields
}

The BigQuery location for the output content.

func (*BigQueryDestination) Descriptor

func (*BigQueryDestination) Descriptor() ([]byte, []int)

Deprecated: Use BigQueryDestination.ProtoReflect.Descriptor instead.

func (*BigQueryDestination) GetOutputUri

func (x *BigQueryDestination) GetOutputUri() string

func (*BigQueryDestination) ProtoMessage

func (*BigQueryDestination) ProtoMessage()

func (*BigQueryDestination) ProtoReflect

func (x *BigQueryDestination) ProtoReflect() protoreflect.Message

func (*BigQueryDestination) Reset

func (x *BigQueryDestination) Reset()

func (*BigQueryDestination) String

func (x *BigQueryDestination) String() string

BigQuerySource

type BigQuerySource struct {

	// Required. BigQuery URI to a table, up to 2000 characters long.
	// Accepted forms:
	//
	// *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
	InputUri string `protobuf:"bytes,1,opt,name=input_uri,json=inputUri,proto3" json:"input_uri,omitempty"`
	// contains filtered or unexported fields
}

The BigQuery location for the input content.

func (*BigQuerySource) Descriptor

func (*BigQuerySource) Descriptor() ([]byte, []int)

Deprecated: Use BigQuerySource.ProtoReflect.Descriptor instead.

func (*BigQuerySource) GetInputUri

func (x *BigQuerySource) GetInputUri() string

func (*BigQuerySource) ProtoMessage

func (*BigQuerySource) ProtoMessage()

func (*BigQuerySource) ProtoReflect

func (x *BigQuerySource) ProtoReflect() protoreflect.Message

func (*BigQuerySource) Reset

func (x *BigQuerySource) Reset()

func (*BigQuerySource) String

func (x *BigQuerySource) String() string

BlurBaselineConfig

type BlurBaselineConfig struct {

	// The standard deviation of the blur kernel for the blurred baseline. The
	// same blurring parameter is used for both the height and the width
	// dimension. If not set, the method defaults to the zero (i.e. black for
	// images) baseline.
	MaxBlurSigma float32 `protobuf:"fixed32,1,opt,name=max_blur_sigma,json=maxBlurSigma,proto3" json:"max_blur_sigma,omitempty"`
	// contains filtered or unexported fields
}

Config for blur baseline.

When enabled, a linear path from the maximally blurred image to the input image is created. Using a blurred baseline instead of zero (black image) is motivated by the BlurIG approach explained here: https://arxiv.org/abs/2004.03383

func (*BlurBaselineConfig) Descriptor

func (*BlurBaselineConfig) Descriptor() ([]byte, []int)

Deprecated: Use BlurBaselineConfig.ProtoReflect.Descriptor instead.

func (*BlurBaselineConfig) GetMaxBlurSigma

func (x *BlurBaselineConfig) GetMaxBlurSigma() float32

func (*BlurBaselineConfig) ProtoMessage

func (*BlurBaselineConfig) ProtoMessage()

func (*BlurBaselineConfig) ProtoReflect

func (x *BlurBaselineConfig) ProtoReflect() protoreflect.Message

func (*BlurBaselineConfig) Reset

func (x *BlurBaselineConfig) Reset()

func (*BlurBaselineConfig) String

func (x *BlurBaselineConfig) String() string

BoolArray

type BoolArray struct {

	// A list of bool values.
	Values []bool `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of boolean values.

func (*BoolArray) Descriptor

func (*BoolArray) Descriptor() ([]byte, []int)

Deprecated: Use BoolArray.ProtoReflect.Descriptor instead.

func (*BoolArray) GetValues

func (x *BoolArray) GetValues() []bool

func (*BoolArray) ProtoMessage

func (*BoolArray) ProtoMessage()

func (*BoolArray) ProtoReflect

func (x *BoolArray) ProtoReflect() protoreflect.Message

func (*BoolArray) Reset

func (x *BoolArray) Reset()

func (*BoolArray) String

func (x *BoolArray) String() string

CancelBatchPredictionJobRequest

type CancelBatchPredictionJobRequest struct {

	// Required. The name of the BatchPredictionJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].

func (*CancelBatchPredictionJobRequest) Descriptor

func (*CancelBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*CancelBatchPredictionJobRequest) GetName

func (x *CancelBatchPredictionJobRequest) GetName() string

func (*CancelBatchPredictionJobRequest) ProtoMessage

func (*CancelBatchPredictionJobRequest) ProtoMessage()

func (*CancelBatchPredictionJobRequest) ProtoReflect

func (x *CancelBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*CancelBatchPredictionJobRequest) Reset

func (x *CancelBatchPredictionJobRequest) Reset()

func (*CancelBatchPredictionJobRequest) String

func (x *CancelBatchPredictionJobRequest) String() string

CancelCustomJobRequest

type CancelCustomJobRequest struct {

	// Required. The name of the CustomJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/customJobs/{custom_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].

func (*CancelCustomJobRequest) Descriptor

func (*CancelCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelCustomJobRequest.ProtoReflect.Descriptor instead.

func (*CancelCustomJobRequest) GetName

func (x *CancelCustomJobRequest) GetName() string

func (*CancelCustomJobRequest) ProtoMessage

func (*CancelCustomJobRequest) ProtoMessage()

func (*CancelCustomJobRequest) ProtoReflect

func (x *CancelCustomJobRequest) ProtoReflect() protoreflect.Message

func (*CancelCustomJobRequest) Reset

func (x *CancelCustomJobRequest) Reset()

func (*CancelCustomJobRequest) String

func (x *CancelCustomJobRequest) String() string

CancelDataLabelingJobRequest

type CancelDataLabelingJobRequest struct {

	// Required. The name of the DataLabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].

func (*CancelDataLabelingJobRequest) Descriptor

func (*CancelDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*CancelDataLabelingJobRequest) GetName

func (x *CancelDataLabelingJobRequest) GetName() string

func (*CancelDataLabelingJobRequest) ProtoMessage

func (*CancelDataLabelingJobRequest) ProtoMessage()

func (*CancelDataLabelingJobRequest) ProtoReflect

func (x *CancelDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*CancelDataLabelingJobRequest) Reset

func (x *CancelDataLabelingJobRequest) Reset()

func (*CancelDataLabelingJobRequest) String

func (x *CancelDataLabelingJobRequest) String() string

CancelHyperparameterTuningJobRequest

type CancelHyperparameterTuningJobRequest struct {

	// Required. The name of the HyperparameterTuningJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].

func (*CancelHyperparameterTuningJobRequest) Descriptor

func (*CancelHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*CancelHyperparameterTuningJobRequest) GetName

func (x *CancelHyperparameterTuningJobRequest) GetName() string

func (*CancelHyperparameterTuningJobRequest) ProtoMessage

func (*CancelHyperparameterTuningJobRequest) ProtoMessage()

func (*CancelHyperparameterTuningJobRequest) ProtoReflect

func (x *CancelHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*CancelHyperparameterTuningJobRequest) Reset

func (x *CancelHyperparameterTuningJobRequest) Reset()

func (*CancelHyperparameterTuningJobRequest) String

func (x *CancelHyperparameterTuningJobRequest) String() string

CancelNasJobRequest

type CancelNasJobRequest struct {

	// Required. The name of the NasJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelNasJob][google.cloud.aiplatform.v1.JobService.CancelNasJob].

func (*CancelNasJobRequest) Descriptor

func (*CancelNasJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelNasJobRequest.ProtoReflect.Descriptor instead.

func (*CancelNasJobRequest) GetName

func (x *CancelNasJobRequest) GetName() string

func (*CancelNasJobRequest) ProtoMessage

func (*CancelNasJobRequest) ProtoMessage()

func (*CancelNasJobRequest) ProtoReflect

func (x *CancelNasJobRequest) ProtoReflect() protoreflect.Message

func (*CancelNasJobRequest) Reset

func (x *CancelNasJobRequest) Reset()

func (*CancelNasJobRequest) String

func (x *CancelNasJobRequest) String() string

CancelPipelineJobRequest

type CancelPipelineJobRequest struct {

	// Required. The name of the PipelineJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].

func (*CancelPipelineJobRequest) Descriptor

func (*CancelPipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelPipelineJobRequest.ProtoReflect.Descriptor instead.

func (*CancelPipelineJobRequest) GetName

func (x *CancelPipelineJobRequest) GetName() string

func (*CancelPipelineJobRequest) ProtoMessage

func (*CancelPipelineJobRequest) ProtoMessage()

func (*CancelPipelineJobRequest) ProtoReflect

func (x *CancelPipelineJobRequest) ProtoReflect() protoreflect.Message

func (*CancelPipelineJobRequest) Reset

func (x *CancelPipelineJobRequest) Reset()

func (*CancelPipelineJobRequest) String

func (x *CancelPipelineJobRequest) String() string

CancelTrainingPipelineRequest

type CancelTrainingPipelineRequest struct {

	// Required. The name of the TrainingPipeline to cancel.
	// Format:
	// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].

func (*CancelTrainingPipelineRequest) Descriptor

func (*CancelTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*CancelTrainingPipelineRequest) GetName

func (x *CancelTrainingPipelineRequest) GetName() string

func (*CancelTrainingPipelineRequest) ProtoMessage

func (*CancelTrainingPipelineRequest) ProtoMessage()

func (*CancelTrainingPipelineRequest) ProtoReflect

func (x *CancelTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*CancelTrainingPipelineRequest) Reset

func (x *CancelTrainingPipelineRequest) Reset()

func (*CancelTrainingPipelineRequest) String

func (x *CancelTrainingPipelineRequest) String() string

CheckTrialEarlyStoppingStateMetatdata

type CheckTrialEarlyStoppingStateMetatdata struct {

	// Operation metadata for suggesting Trials.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The name of the Study that the Trial belongs to.
	Study string `protobuf:"bytes,2,opt,name=study,proto3" json:"study,omitempty"`
	// The Trial name.
	Trial string `protobuf:"bytes,3,opt,name=trial,proto3" json:"trial,omitempty"`
	// contains filtered or unexported fields
}

This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.

func (*CheckTrialEarlyStoppingStateMetatdata) Descriptor

func (*CheckTrialEarlyStoppingStateMetatdata) Descriptor() ([]byte, []int)

Deprecated: Use CheckTrialEarlyStoppingStateMetatdata.ProtoReflect.Descriptor instead.

func (*CheckTrialEarlyStoppingStateMetatdata) GetGenericMetadata

func (x *CheckTrialEarlyStoppingStateMetatdata) GetGenericMetadata() *GenericOperationMetadata

func (*CheckTrialEarlyStoppingStateMetatdata) GetStudy

func (x *CheckTrialEarlyStoppingStateMetatdata) GetStudy() string

func (*CheckTrialEarlyStoppingStateMetatdata) GetTrial

func (x *CheckTrialEarlyStoppingStateMetatdata) GetTrial() string

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage()

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoReflect

func (x *CheckTrialEarlyStoppingStateMetatdata) ProtoReflect() protoreflect.Message

func (*CheckTrialEarlyStoppingStateMetatdata) Reset

func (x *CheckTrialEarlyStoppingStateMetatdata) Reset()

func (*CheckTrialEarlyStoppingStateMetatdata) String

func (x *CheckTrialEarlyStoppingStateMetatdata) String() string

CheckTrialEarlyStoppingStateRequest

type CheckTrialEarlyStoppingStateRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	TrialName string `protobuf:"bytes,1,opt,name=trial_name,json=trialName,proto3" json:"trial_name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].

func (*CheckTrialEarlyStoppingStateRequest) Descriptor

func (*CheckTrialEarlyStoppingStateRequest) Descriptor() ([]byte, []int)

Deprecated: Use CheckTrialEarlyStoppingStateRequest.ProtoReflect.Descriptor instead.

func (*CheckTrialEarlyStoppingStateRequest) GetTrialName

func (x *CheckTrialEarlyStoppingStateRequest) GetTrialName() string

func (*CheckTrialEarlyStoppingStateRequest) ProtoMessage

func (*CheckTrialEarlyStoppingStateRequest) ProtoMessage()

func (*CheckTrialEarlyStoppingStateRequest) ProtoReflect

func (x *CheckTrialEarlyStoppingStateRequest) ProtoReflect() protoreflect.Message

func (*CheckTrialEarlyStoppingStateRequest) Reset

func (x *CheckTrialEarlyStoppingStateRequest) Reset()

func (*CheckTrialEarlyStoppingStateRequest) String

func (x *CheckTrialEarlyStoppingStateRequest) String() string

CheckTrialEarlyStoppingStateResponse

type CheckTrialEarlyStoppingStateResponse struct {

	// True if the Trial should stop.
	ShouldStop bool `protobuf:"varint,1,opt,name=should_stop,json=shouldStop,proto3" json:"should_stop,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].

func (*CheckTrialEarlyStoppingStateResponse) Descriptor

func (*CheckTrialEarlyStoppingStateResponse) Descriptor() ([]byte, []int)

Deprecated: Use CheckTrialEarlyStoppingStateResponse.ProtoReflect.Descriptor instead.

func (*CheckTrialEarlyStoppingStateResponse) GetShouldStop

func (x *CheckTrialEarlyStoppingStateResponse) GetShouldStop() bool

func (*CheckTrialEarlyStoppingStateResponse) ProtoMessage

func (*CheckTrialEarlyStoppingStateResponse) ProtoMessage()

func (*CheckTrialEarlyStoppingStateResponse) ProtoReflect

func (x *CheckTrialEarlyStoppingStateResponse) ProtoReflect() protoreflect.Message

func (*CheckTrialEarlyStoppingStateResponse) Reset

func (x *CheckTrialEarlyStoppingStateResponse) Reset()

func (*CheckTrialEarlyStoppingStateResponse) String

func (x *CheckTrialEarlyStoppingStateResponse) String() string

CompleteTrialRequest

type CompleteTrialRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. If provided, it will be used as the completed Trial's
	// final_measurement; Otherwise, the service will auto-select a
	// previously reported measurement as the final-measurement
	FinalMeasurement *Measurement `protobuf:"bytes,2,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`
	// Optional. True if the Trial cannot be run with the given Parameter, and
	// final_measurement will be ignored.
	TrialInfeasible bool `protobuf:"varint,3,opt,name=trial_infeasible,json=trialInfeasible,proto3" json:"trial_infeasible,omitempty"`
	// Optional. A human readable reason why the trial was infeasible. This should
	// only be provided if `trial_infeasible` is true.
	InfeasibleReason string `protobuf:"bytes,4,opt,name=infeasible_reason,json=infeasibleReason,proto3" json:"infeasible_reason,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].

func (*CompleteTrialRequest) Descriptor

func (*CompleteTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use CompleteTrialRequest.ProtoReflect.Descriptor instead.

func (*CompleteTrialRequest) GetFinalMeasurement

func (x *CompleteTrialRequest) GetFinalMeasurement() *Measurement

func (*CompleteTrialRequest) GetInfeasibleReason

func (x *CompleteTrialRequest) GetInfeasibleReason() string

func (*CompleteTrialRequest) GetName

func (x *CompleteTrialRequest) GetName() string

func (*CompleteTrialRequest) GetTrialInfeasible

func (x *CompleteTrialRequest) GetTrialInfeasible() bool

func (*CompleteTrialRequest) ProtoMessage

func (*CompleteTrialRequest) ProtoMessage()

func (*CompleteTrialRequest) ProtoReflect

func (x *CompleteTrialRequest) ProtoReflect() protoreflect.Message

func (*CompleteTrialRequest) Reset

func (x *CompleteTrialRequest) Reset()

func (*CompleteTrialRequest) String

func (x *CompleteTrialRequest) String() string

CompletionStats

type CompletionStats struct {
	SuccessfulCount int64 `protobuf:"varint,1,opt,name=successful_count,json=successfulCount,proto3" json:"successful_count,omitempty"`

	FailedCount int64 `protobuf:"varint,2,opt,name=failed_count,json=failedCount,proto3" json:"failed_count,omitempty"`

	IncompleteCount int64 `protobuf:"varint,3,opt,name=incomplete_count,json=incompleteCount,proto3" json:"incomplete_count,omitempty"`

	SuccessfulForecastPointCount int64 "" /* 150 byte string literal not displayed */

}

Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.

func (*CompletionStats) Descriptor

func (*CompletionStats) Descriptor() ([]byte, []int)

Deprecated: Use CompletionStats.ProtoReflect.Descriptor instead.

func (*CompletionStats) GetFailedCount

func (x *CompletionStats) GetFailedCount() int64

func (*CompletionStats) GetIncompleteCount

func (x *CompletionStats) GetIncompleteCount() int64

func (*CompletionStats) GetSuccessfulCount

func (x *CompletionStats) GetSuccessfulCount() int64

func (*CompletionStats) GetSuccessfulForecastPointCount

func (x *CompletionStats) GetSuccessfulForecastPointCount() int64

func (*CompletionStats) ProtoMessage

func (*CompletionStats) ProtoMessage()

func (*CompletionStats) ProtoReflect

func (x *CompletionStats) ProtoReflect() protoreflect.Message

func (*CompletionStats) Reset

func (x *CompletionStats) Reset()

func (*CompletionStats) String

func (x *CompletionStats) String() string

ContainerRegistryDestination

type ContainerRegistryDestination struct {

	// Required. Container Registry URI of a container image.
	// Only Google Container Registry and Artifact Registry are supported now.
	// Accepted forms:
	//
	// *  Google Container Registry path. For example:
	//    `gcr.io/projectId/imageName:tag`.
	//
	// *  Artifact Registry path. For example:
	//    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
	//
	// If a tag is not specified, "latest" will be used as the default tag.
	OutputUri string `protobuf:"bytes,1,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
	// contains filtered or unexported fields
}

The Container Registry location for the container image.

func (*ContainerRegistryDestination) Descriptor

func (*ContainerRegistryDestination) Descriptor() ([]byte, []int)

Deprecated: Use ContainerRegistryDestination.ProtoReflect.Descriptor instead.

func (*ContainerRegistryDestination) GetOutputUri

func (x *ContainerRegistryDestination) GetOutputUri() string

func (*ContainerRegistryDestination) ProtoMessage

func (*ContainerRegistryDestination) ProtoMessage()

func (*ContainerRegistryDestination) ProtoReflect

func (x *ContainerRegistryDestination) ProtoReflect() protoreflect.Message

func (*ContainerRegistryDestination) Reset

func (x *ContainerRegistryDestination) Reset()

func (*ContainerRegistryDestination) String

func (x *ContainerRegistryDestination) String() string

ContainerSpec

type ContainerSpec struct {

	// Required. The URI of a container image in the Container Registry that is to
	// be run on each worker replica.
	ImageUri string `protobuf:"bytes,1,opt,name=image_uri,json=imageUri,proto3" json:"image_uri,omitempty"`
	// The command to be invoked when the container is started.
	// It overrides the entrypoint instruction in Dockerfile when provided.
	Command []string `protobuf:"bytes,2,rep,name=command,proto3" json:"command,omitempty"`
	// The arguments to be passed when starting the container.
	Args []string `protobuf:"bytes,3,rep,name=args,proto3" json:"args,omitempty"`
	// Environment variables to be passed to the container.
	// Maximum limit is 100.
	Env []*EnvVar `protobuf:"bytes,4,rep,name=env,proto3" json:"env,omitempty"`
	// contains filtered or unexported fields
}

The spec of a Container.

func (*ContainerSpec) Descriptor

func (*ContainerSpec) Descriptor() ([]byte, []int)

Deprecated: Use ContainerSpec.ProtoReflect.Descriptor instead.

func (*ContainerSpec) GetArgs

func (x *ContainerSpec) GetArgs() []string

func (*ContainerSpec) GetCommand

func (x *ContainerSpec) GetCommand() []string

func (*ContainerSpec) GetEnv

func (x *ContainerSpec) GetEnv() []*EnvVar

func (*ContainerSpec) GetImageUri

func (x *ContainerSpec) GetImageUri() string

func (*ContainerSpec) ProtoMessage

func (*ContainerSpec) ProtoMessage()

func (*ContainerSpec) ProtoReflect

func (x *ContainerSpec) ProtoReflect() protoreflect.Message

func (*ContainerSpec) Reset

func (x *ContainerSpec) Reset()

func (*ContainerSpec) String

func (x *ContainerSpec) String() string

Context

type Context struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	ParentContexts []string `protobuf:"bytes,12,rep,name=parent_contexts,json=parentContexts,proto3" json:"parent_contexts,omitempty"`

	SchemaTitle string `protobuf:"bytes,13,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`

	SchemaVersion string `protobuf:"bytes,14,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`

	Metadata *structpb.Struct `protobuf:"bytes,15,opt,name=metadata,proto3" json:"metadata,omitempty"`

	Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`

}

Instance of a general context.

func (*Context) Descriptor

func (*Context) Descriptor() ([]byte, []int)

Deprecated: Use Context.ProtoReflect.Descriptor instead.

func (*Context) GetCreateTime

func (x *Context) GetCreateTime() *timestamppb.Timestamp

func (*Context) GetDescription

func (x *Context) GetDescription() string

func (*Context) GetDisplayName

func (x *Context) GetDisplayName() string

func (*Context) GetEtag

func (x *Context) GetEtag() string

func (*Context) GetLabels

func (x *Context) GetLabels() map[string]string

func (*Context) GetMetadata

func (x *Context) GetMetadata() *structpb.Struct

func (*Context) GetName

func (x *Context) GetName() string

func (*Context) GetParentContexts

func (x *Context) GetParentContexts() []string

func (*Context) GetSchemaTitle

func (x *Context) GetSchemaTitle() string

func (*Context) GetSchemaVersion

func (x *Context) GetSchemaVersion() string

func (*Context) GetUpdateTime

func (x *Context) GetUpdateTime() *timestamppb.Timestamp

func (*Context) ProtoMessage

func (*Context) ProtoMessage()

func (*Context) ProtoReflect

func (x *Context) ProtoReflect() protoreflect.Message

func (*Context) Reset

func (x *Context) Reset()

func (*Context) String

func (x *Context) String() string

CopyModelOperationMetadata

type CopyModelOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel] operation.

func (*CopyModelOperationMetadata) Descriptor

func (*CopyModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CopyModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*CopyModelOperationMetadata) GetGenericMetadata

func (x *CopyModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CopyModelOperationMetadata) ProtoMessage

func (*CopyModelOperationMetadata) ProtoMessage()

func (*CopyModelOperationMetadata) ProtoReflect

func (x *CopyModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*CopyModelOperationMetadata) Reset

func (x *CopyModelOperationMetadata) Reset()

func (*CopyModelOperationMetadata) String

func (x *CopyModelOperationMetadata) String() string

CopyModelRequest

type CopyModelRequest struct {

	// If both fields are unset, a new Model will be created with a generated ID.
	//
	// Types that are assignable to DestinationModel:
	//	*CopyModelRequest_ModelId
	//	*CopyModelRequest_ParentModel
	DestinationModel isCopyModelRequest_DestinationModel `protobuf_oneof:"destination_model"`
	// Required. The resource name of the Location into which to copy the Model.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The resource name of the Model to copy. That Model must be in the
	// same Project. Format:
	// `projects/{project}/locations/{location}/models/{model}`
	SourceModel string `protobuf:"bytes,2,opt,name=source_model,json=sourceModel,proto3" json:"source_model,omitempty"`
	// Customer-managed encryption key options. If this is set,
	// then the Model copy will be encrypted with the provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,3,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel].

func (*CopyModelRequest) Descriptor

func (*CopyModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use CopyModelRequest.ProtoReflect.Descriptor instead.

func (*CopyModelRequest) GetDestinationModel

func (m *CopyModelRequest) GetDestinationModel() isCopyModelRequest_DestinationModel

func (*CopyModelRequest) GetEncryptionSpec

func (x *CopyModelRequest) GetEncryptionSpec() *EncryptionSpec

func (*CopyModelRequest) GetModelId

func (x *CopyModelRequest) GetModelId() string

func (*CopyModelRequest) GetParent

func (x *CopyModelRequest) GetParent() string

func (*CopyModelRequest) GetParentModel

func (x *CopyModelRequest) GetParentModel() string

func (*CopyModelRequest) GetSourceModel

func (x *CopyModelRequest) GetSourceModel() string

func (*CopyModelRequest) ProtoMessage

func (*CopyModelRequest) ProtoMessage()

func (*CopyModelRequest) ProtoReflect

func (x *CopyModelRequest) ProtoReflect() protoreflect.Message

func (*CopyModelRequest) Reset

func (x *CopyModelRequest) Reset()

func (*CopyModelRequest) String

func (x *CopyModelRequest) String() string

CopyModelRequest_ModelId

type CopyModelRequest_ModelId struct {
	// Optional. Copy source_model into a new Model with this ID. The ID will
	// become the final component of the model resource name.
	//
	// This value may be up to 63 characters, and valid characters are
	// `[a-z0-9_-]`. The first character cannot be a number or hyphen.
	ModelId string `protobuf:"bytes,4,opt,name=model_id,json=modelId,proto3,oneof"`
}

CopyModelRequest_ParentModel

type CopyModelRequest_ParentModel struct {
	// Optional. Specify this field to copy source_model into this existing
	// Model as a new version. Format:
	// `projects/{project}/locations/{location}/models/{model}`
	ParentModel string `protobuf:"bytes,5,opt,name=parent_model,json=parentModel,proto3,oneof"`
}

CopyModelResponse

type CopyModelResponse struct {

	// The name of the copied Model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Output only. The version ID of the model that is copied.
	ModelVersionId string `protobuf:"bytes,2,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
	// contains filtered or unexported fields
}

Response message of [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel] operation.

func (*CopyModelResponse) Descriptor

func (*CopyModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use CopyModelResponse.ProtoReflect.Descriptor instead.

func (*CopyModelResponse) GetModel

func (x *CopyModelResponse) GetModel() string

func (*CopyModelResponse) GetModelVersionId

func (x *CopyModelResponse) GetModelVersionId() string

func (*CopyModelResponse) ProtoMessage

func (*CopyModelResponse) ProtoMessage()

func (*CopyModelResponse) ProtoReflect

func (x *CopyModelResponse) ProtoReflect() protoreflect.Message

func (*CopyModelResponse) Reset

func (x *CopyModelResponse) Reset()

func (*CopyModelResponse) String

func (x *CopyModelResponse) String() string

CreateArtifactRequest

type CreateArtifactRequest struct {

	// Required. The resource name of the MetadataStore where the Artifact should
	// be created.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Artifact to create.
	Artifact *Artifact `protobuf:"bytes,2,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// The {artifact} portion of the resource name with the format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	// If not provided, the Artifact's ID will be a UUID generated by the service.
	// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
	// Must be unique across all Artifacts in the parent MetadataStore. (Otherwise
	// the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the
	// caller can't view the preexisting Artifact.)
	ArtifactId string `protobuf:"bytes,3,opt,name=artifact_id,json=artifactId,proto3" json:"artifact_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].

func (*CreateArtifactRequest) Descriptor

func (*CreateArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateArtifactRequest.ProtoReflect.Descriptor instead.

func (*CreateArtifactRequest) GetArtifact

func (x *CreateArtifactRequest) GetArtifact() *Artifact

func (*CreateArtifactRequest) GetArtifactId

func (x *CreateArtifactRequest) GetArtifactId() string

func (*CreateArtifactRequest) GetParent

func (x *CreateArtifactRequest) GetParent() string

func (*CreateArtifactRequest) ProtoMessage

func (*CreateArtifactRequest) ProtoMessage()

func (*CreateArtifactRequest) ProtoReflect

func (x *CreateArtifactRequest) ProtoReflect() protoreflect.Message

func (*CreateArtifactRequest) Reset

func (x *CreateArtifactRequest) Reset()

func (*CreateArtifactRequest) String

func (x *CreateArtifactRequest) String() string

CreateBatchPredictionJobRequest

type CreateBatchPredictionJobRequest struct {

	// Required. The resource name of the Location to create the
	// BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The BatchPredictionJob to create.
	BatchPredictionJob *BatchPredictionJob `protobuf:"bytes,2,opt,name=batch_prediction_job,json=batchPredictionJob,proto3" json:"batch_prediction_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].

func (*CreateBatchPredictionJobRequest) Descriptor

func (*CreateBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*CreateBatchPredictionJobRequest) GetBatchPredictionJob

func (x *CreateBatchPredictionJobRequest) GetBatchPredictionJob() *BatchPredictionJob

func (*CreateBatchPredictionJobRequest) GetParent

func (x *CreateBatchPredictionJobRequest) GetParent() string

func (*CreateBatchPredictionJobRequest) ProtoMessage

func (*CreateBatchPredictionJobRequest) ProtoMessage()

func (*CreateBatchPredictionJobRequest) ProtoReflect

func (x *CreateBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*CreateBatchPredictionJobRequest) Reset

func (x *CreateBatchPredictionJobRequest) Reset()

func (*CreateBatchPredictionJobRequest) String

func (x *CreateBatchPredictionJobRequest) String() string

CreateContextRequest

type CreateContextRequest struct {

	// Required. The resource name of the MetadataStore where the Context should
	// be created. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Context to create.
	Context *Context `protobuf:"bytes,2,opt,name=context,proto3" json:"context,omitempty"`
	// The {context} portion of the resource name with the format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`.
	// If not provided, the Context's ID will be a UUID generated by the service.
	// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
	// Must be unique across all Contexts in the parent MetadataStore. (Otherwise
	// the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the
	// caller can't view the preexisting Context.)
	ContextId string `protobuf:"bytes,3,opt,name=context_id,json=contextId,proto3" json:"context_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].

func (*CreateContextRequest) Descriptor

func (*CreateContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateContextRequest.ProtoReflect.Descriptor instead.

func (*CreateContextRequest) GetContext

func (x *CreateContextRequest) GetContext() *Context

func (*CreateContextRequest) GetContextId

func (x *CreateContextRequest) GetContextId() string

func (*CreateContextRequest) GetParent

func (x *CreateContextRequest) GetParent() string

func (*CreateContextRequest) ProtoMessage

func (*CreateContextRequest) ProtoMessage()

func (*CreateContextRequest) ProtoReflect

func (x *CreateContextRequest) ProtoReflect() protoreflect.Message

func (*CreateContextRequest) Reset

func (x *CreateContextRequest) Reset()

func (*CreateContextRequest) String

func (x *CreateContextRequest) String() string

CreateCustomJobRequest

type CreateCustomJobRequest struct {

	// Required. The resource name of the Location to create the CustomJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The CustomJob to create.
	CustomJob *CustomJob `protobuf:"bytes,2,opt,name=custom_job,json=customJob,proto3" json:"custom_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].

func (*CreateCustomJobRequest) Descriptor

func (*CreateCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateCustomJobRequest.ProtoReflect.Descriptor instead.

func (*CreateCustomJobRequest) GetCustomJob

func (x *CreateCustomJobRequest) GetCustomJob() *CustomJob

func (*CreateCustomJobRequest) GetParent

func (x *CreateCustomJobRequest) GetParent() string

func (*CreateCustomJobRequest) ProtoMessage

func (*CreateCustomJobRequest) ProtoMessage()

func (*CreateCustomJobRequest) ProtoReflect

func (x *CreateCustomJobRequest) ProtoReflect() protoreflect.Message

func (*CreateCustomJobRequest) Reset

func (x *CreateCustomJobRequest) Reset()

func (*CreateCustomJobRequest) String

func (x *CreateCustomJobRequest) String() string

CreateDataLabelingJobRequest

type CreateDataLabelingJobRequest struct {

	// Required. The parent of the DataLabelingJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The DataLabelingJob to create.
	DataLabelingJob *DataLabelingJob `protobuf:"bytes,2,opt,name=data_labeling_job,json=dataLabelingJob,proto3" json:"data_labeling_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].

func (*CreateDataLabelingJobRequest) Descriptor

func (*CreateDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*CreateDataLabelingJobRequest) GetDataLabelingJob

func (x *CreateDataLabelingJobRequest) GetDataLabelingJob() *DataLabelingJob

func (*CreateDataLabelingJobRequest) GetParent

func (x *CreateDataLabelingJobRequest) GetParent() string

func (*CreateDataLabelingJobRequest) ProtoMessage

func (*CreateDataLabelingJobRequest) ProtoMessage()

func (*CreateDataLabelingJobRequest) ProtoReflect

func (x *CreateDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*CreateDataLabelingJobRequest) Reset

func (x *CreateDataLabelingJobRequest) Reset()

func (*CreateDataLabelingJobRequest) String

func (x *CreateDataLabelingJobRequest) String() string

CreateDatasetOperationMetadata

type CreateDatasetOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].

func (*CreateDatasetOperationMetadata) Descriptor

func (*CreateDatasetOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateDatasetOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateDatasetOperationMetadata) GetGenericMetadata

func (x *CreateDatasetOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateDatasetOperationMetadata) ProtoMessage

func (*CreateDatasetOperationMetadata) ProtoMessage()

func (*CreateDatasetOperationMetadata) ProtoReflect

func (x *CreateDatasetOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateDatasetOperationMetadata) Reset

func (x *CreateDatasetOperationMetadata) Reset()

func (*CreateDatasetOperationMetadata) String

func (x *CreateDatasetOperationMetadata) String() string

CreateDatasetRequest

type CreateDatasetRequest struct {

	// Required. The resource name of the Location to create the Dataset in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Dataset to create.
	Dataset *Dataset `protobuf:"bytes,2,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].

func (*CreateDatasetRequest) Descriptor

func (*CreateDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateDatasetRequest.ProtoReflect.Descriptor instead.

func (*CreateDatasetRequest) GetDataset

func (x *CreateDatasetRequest) GetDataset() *Dataset

func (*CreateDatasetRequest) GetParent

func (x *CreateDatasetRequest) GetParent() string

func (*CreateDatasetRequest) ProtoMessage

func (*CreateDatasetRequest) ProtoMessage()

func (*CreateDatasetRequest) ProtoReflect

func (x *CreateDatasetRequest) ProtoReflect() protoreflect.Message

func (*CreateDatasetRequest) Reset

func (x *CreateDatasetRequest) Reset()

func (*CreateDatasetRequest) String

func (x *CreateDatasetRequest) String() string

CreateEndpointOperationMetadata

type CreateEndpointOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].

func (*CreateEndpointOperationMetadata) Descriptor

func (*CreateEndpointOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateEndpointOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateEndpointOperationMetadata) GetGenericMetadata

func (x *CreateEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateEndpointOperationMetadata) ProtoMessage

func (*CreateEndpointOperationMetadata) ProtoMessage()

func (*CreateEndpointOperationMetadata) ProtoReflect

func (x *CreateEndpointOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateEndpointOperationMetadata) Reset

func (x *CreateEndpointOperationMetadata) Reset()

func (*CreateEndpointOperationMetadata) String

func (x *CreateEndpointOperationMetadata) String() string

CreateEndpointRequest

type CreateEndpointRequest struct {

	// Required. The resource name of the Location to create the Endpoint in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Endpoint to create.
	Endpoint *Endpoint `protobuf:"bytes,2,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Immutable. The ID to use for endpoint, which will become the final
	// component of the endpoint resource name.
	// If not provided, Vertex AI will generate a value for this ID.
	//
	// If the first character is a letter, this value may be up to 63 characters,
	// and valid characters are `[a-z0-9-]`. The last character must be a letter
	// or number.
	//
	// If the first character is a number, this value may be up to 9 characters,
	// and valid characters are `[0-9]` with no leading zeros.
	//
	// When using HTTP/JSON, this field is populated
	// based on a query string argument, such as `?endpoint_id=12345`. This is the
	// fallback for fields that are not included in either the URI or the body.
	EndpointId string `protobuf:"bytes,4,opt,name=endpoint_id,json=endpointId,proto3" json:"endpoint_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].

func (*CreateEndpointRequest) Descriptor

func (*CreateEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateEndpointRequest.ProtoReflect.Descriptor instead.

func (*CreateEndpointRequest) GetEndpoint

func (x *CreateEndpointRequest) GetEndpoint() *Endpoint

func (*CreateEndpointRequest) GetEndpointId

func (x *CreateEndpointRequest) GetEndpointId() string

func (*CreateEndpointRequest) GetParent

func (x *CreateEndpointRequest) GetParent() string

func (*CreateEndpointRequest) ProtoMessage

func (*CreateEndpointRequest) ProtoMessage()

func (*CreateEndpointRequest) ProtoReflect

func (x *CreateEndpointRequest) ProtoReflect() protoreflect.Message

func (*CreateEndpointRequest) Reset

func (x *CreateEndpointRequest) Reset()

func (*CreateEndpointRequest) String

func (x *CreateEndpointRequest) String() string

CreateEntityTypeOperationMetadata

type CreateEntityTypeOperationMetadata struct {

	// Operation metadata for EntityType.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create EntityType.

func (*CreateEntityTypeOperationMetadata) Descriptor

func (*CreateEntityTypeOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateEntityTypeOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateEntityTypeOperationMetadata) GetGenericMetadata

func (x *CreateEntityTypeOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateEntityTypeOperationMetadata) ProtoMessage

func (*CreateEntityTypeOperationMetadata) ProtoMessage()

func (*CreateEntityTypeOperationMetadata) ProtoReflect

func (x *CreateEntityTypeOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateEntityTypeOperationMetadata) Reset

func (x *CreateEntityTypeOperationMetadata) Reset()

func (*CreateEntityTypeOperationMetadata) String

func (x *CreateEntityTypeOperationMetadata) String() string

CreateEntityTypeRequest

type CreateEntityTypeRequest struct {

	// Required. The resource name of the Featurestore to create EntityTypes.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The EntityType to create.
	EntityType *EntityType `protobuf:"bytes,2,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. The ID to use for the EntityType, which will become the final
	// component of the EntityType's resource name.
	//
	// This value may be up to 60 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within a featurestore.
	EntityTypeId string `protobuf:"bytes,3,opt,name=entity_type_id,json=entityTypeId,proto3" json:"entity_type_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].

func (*CreateEntityTypeRequest) Descriptor

func (*CreateEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*CreateEntityTypeRequest) GetEntityType

func (x *CreateEntityTypeRequest) GetEntityType() *EntityType

func (*CreateEntityTypeRequest) GetEntityTypeId

func (x *CreateEntityTypeRequest) GetEntityTypeId() string

func (*CreateEntityTypeRequest) GetParent

func (x *CreateEntityTypeRequest) GetParent() string

func (*CreateEntityTypeRequest) ProtoMessage

func (*CreateEntityTypeRequest) ProtoMessage()

func (*CreateEntityTypeRequest) ProtoReflect

func (x *CreateEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*CreateEntityTypeRequest) Reset

func (x *CreateEntityTypeRequest) Reset()

func (*CreateEntityTypeRequest) String

func (x *CreateEntityTypeRequest) String() string

CreateExecutionRequest

type CreateExecutionRequest struct {

	// Required. The resource name of the MetadataStore where the Execution should
	// be created.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Execution to create.
	Execution *Execution `protobuf:"bytes,2,opt,name=execution,proto3" json:"execution,omitempty"`
	// The {execution} portion of the resource name with the format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	// If not provided, the Execution's ID will be a UUID generated by the
	// service.
	// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
	// Must be unique across all Executions in the parent MetadataStore.
	// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
	// if the caller can't view the preexisting Execution.)
	ExecutionId string `protobuf:"bytes,3,opt,name=execution_id,json=executionId,proto3" json:"execution_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].

func (*CreateExecutionRequest) Descriptor

func (*CreateExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateExecutionRequest.ProtoReflect.Descriptor instead.

func (*CreateExecutionRequest) GetExecution

func (x *CreateExecutionRequest) GetExecution() *Execution

func (*CreateExecutionRequest) GetExecutionId

func (x *CreateExecutionRequest) GetExecutionId() string

func (*CreateExecutionRequest) GetParent

func (x *CreateExecutionRequest) GetParent() string

func (*CreateExecutionRequest) ProtoMessage

func (*CreateExecutionRequest) ProtoMessage()

func (*CreateExecutionRequest) ProtoReflect

func (x *CreateExecutionRequest) ProtoReflect() protoreflect.Message

func (*CreateExecutionRequest) Reset

func (x *CreateExecutionRequest) Reset()

func (*CreateExecutionRequest) String

func (x *CreateExecutionRequest) String() string

CreateFeatureOperationMetadata

type CreateFeatureOperationMetadata struct {

	// Operation metadata for Feature.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create Feature.

func (*CreateFeatureOperationMetadata) Descriptor

func (*CreateFeatureOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateFeatureOperationMetadata) GetGenericMetadata

func (x *CreateFeatureOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateFeatureOperationMetadata) ProtoMessage

func (*CreateFeatureOperationMetadata) ProtoMessage()

func (*CreateFeatureOperationMetadata) ProtoReflect

func (x *CreateFeatureOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateFeatureOperationMetadata) Reset

func (x *CreateFeatureOperationMetadata) Reset()

func (*CreateFeatureOperationMetadata) String

func (x *CreateFeatureOperationMetadata) String() string

CreateFeatureRequest

type CreateFeatureRequest struct {

	// Required. The resource name of the EntityType to create a Feature.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Feature to create.
	Feature *Feature `protobuf:"bytes,2,opt,name=feature,proto3" json:"feature,omitempty"`
	// Required. The ID to use for the Feature, which will become the final
	// component of the Feature's resource name.
	//
	// This value may be up to 128 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within an EntityType.
	FeatureId string `protobuf:"bytes,3,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].

func (*CreateFeatureRequest) Descriptor

func (*CreateFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureRequest.ProtoReflect.Descriptor instead.

func (*CreateFeatureRequest) GetFeature

func (x *CreateFeatureRequest) GetFeature() *Feature

func (*CreateFeatureRequest) GetFeatureId

func (x *CreateFeatureRequest) GetFeatureId() string

func (*CreateFeatureRequest) GetParent

func (x *CreateFeatureRequest) GetParent() string

func (*CreateFeatureRequest) ProtoMessage

func (*CreateFeatureRequest) ProtoMessage()

func (*CreateFeatureRequest) ProtoReflect

func (x *CreateFeatureRequest) ProtoReflect() protoreflect.Message

func (*CreateFeatureRequest) Reset

func (x *CreateFeatureRequest) Reset()

func (*CreateFeatureRequest) String

func (x *CreateFeatureRequest) String() string

CreateFeaturestoreOperationMetadata

type CreateFeaturestoreOperationMetadata struct {

	// Operation metadata for Featurestore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create Featurestore.

func (*CreateFeaturestoreOperationMetadata) Descriptor

func (*CreateFeaturestoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeaturestoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateFeaturestoreOperationMetadata) GetGenericMetadata

func (x *CreateFeaturestoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateFeaturestoreOperationMetadata) ProtoMessage

func (*CreateFeaturestoreOperationMetadata) ProtoMessage()

func (*CreateFeaturestoreOperationMetadata) ProtoReflect

func (x *CreateFeaturestoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateFeaturestoreOperationMetadata) Reset

func (x *CreateFeaturestoreOperationMetadata) Reset()

func (*CreateFeaturestoreOperationMetadata) String

func (x *CreateFeaturestoreOperationMetadata) String() string

CreateFeaturestoreRequest

type CreateFeaturestoreRequest struct {

	// Required. The resource name of the Location to create Featurestores.
	// Format:
	// `projects/{project}/locations/{location}'`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Featurestore to create.
	Featurestore *Featurestore `protobuf:"bytes,2,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
	// Required. The ID to use for this Featurestore, which will become the final
	// component of the Featurestore's resource name.
	//
	// This value may be up to 60 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within the project and location.
	FeaturestoreId string `protobuf:"bytes,3,opt,name=featurestore_id,json=featurestoreId,proto3" json:"featurestore_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].

func (*CreateFeaturestoreRequest) Descriptor

func (*CreateFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*CreateFeaturestoreRequest) GetFeaturestore

func (x *CreateFeaturestoreRequest) GetFeaturestore() *Featurestore

func (*CreateFeaturestoreRequest) GetFeaturestoreId

func (x *CreateFeaturestoreRequest) GetFeaturestoreId() string

func (*CreateFeaturestoreRequest) GetParent

func (x *CreateFeaturestoreRequest) GetParent() string

func (*CreateFeaturestoreRequest) ProtoMessage

func (*CreateFeaturestoreRequest) ProtoMessage()

func (*CreateFeaturestoreRequest) ProtoReflect

func (x *CreateFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*CreateFeaturestoreRequest) Reset

func (x *CreateFeaturestoreRequest) Reset()

func (*CreateFeaturestoreRequest) String

func (x *CreateFeaturestoreRequest) String() string

CreateHyperparameterTuningJobRequest

type CreateHyperparameterTuningJobRequest struct {
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`

	HyperparameterTuningJob *HyperparameterTuningJob "" /* 132 byte string literal not displayed */

}

Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].

func (*CreateHyperparameterTuningJobRequest) Descriptor

func (*CreateHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*CreateHyperparameterTuningJobRequest) GetHyperparameterTuningJob

func (x *CreateHyperparameterTuningJobRequest) GetHyperparameterTuningJob() *HyperparameterTuningJob

func (*CreateHyperparameterTuningJobRequest) GetParent

func (x *CreateHyperparameterTuningJobRequest) GetParent() string

func (*CreateHyperparameterTuningJobRequest) ProtoMessage

func (*CreateHyperparameterTuningJobRequest) ProtoMessage()

func (*CreateHyperparameterTuningJobRequest) ProtoReflect

func (x *CreateHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*CreateHyperparameterTuningJobRequest) Reset

func (x *CreateHyperparameterTuningJobRequest) Reset()

func (*CreateHyperparameterTuningJobRequest) String

func (x *CreateHyperparameterTuningJobRequest) String() string

CreateIndexEndpointOperationMetadata

type CreateIndexEndpointOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].

func (*CreateIndexEndpointOperationMetadata) Descriptor

func (*CreateIndexEndpointOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexEndpointOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateIndexEndpointOperationMetadata) GetGenericMetadata

func (x *CreateIndexEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateIndexEndpointOperationMetadata) ProtoMessage

func (*CreateIndexEndpointOperationMetadata) ProtoMessage()

func (*CreateIndexEndpointOperationMetadata) ProtoReflect

func (x *CreateIndexEndpointOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateIndexEndpointOperationMetadata) Reset

func (x *CreateIndexEndpointOperationMetadata) Reset()

func (*CreateIndexEndpointOperationMetadata) String

func (x *CreateIndexEndpointOperationMetadata) String() string

CreateIndexEndpointRequest

type CreateIndexEndpointRequest struct {

	// Required. The resource name of the Location to create the IndexEndpoint in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The IndexEndpoint to create.
	IndexEndpoint *IndexEndpoint `protobuf:"bytes,2,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].

func (*CreateIndexEndpointRequest) Descriptor

func (*CreateIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*CreateIndexEndpointRequest) GetIndexEndpoint

func (x *CreateIndexEndpointRequest) GetIndexEndpoint() *IndexEndpoint

func (*CreateIndexEndpointRequest) GetParent

func (x *CreateIndexEndpointRequest) GetParent() string

func (*CreateIndexEndpointRequest) ProtoMessage

func (*CreateIndexEndpointRequest) ProtoMessage()

func (*CreateIndexEndpointRequest) ProtoReflect

func (x *CreateIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*CreateIndexEndpointRequest) Reset

func (x *CreateIndexEndpointRequest) Reset()

func (*CreateIndexEndpointRequest) String

func (x *CreateIndexEndpointRequest) String() string

CreateIndexOperationMetadata

type CreateIndexOperationMetadata struct {
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`

	NearestNeighborSearchOperationMetadata *NearestNeighborSearchOperationMetadata "" /* 181 byte string literal not displayed */

}

Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].

func (*CreateIndexOperationMetadata) Descriptor

func (*CreateIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateIndexOperationMetadata) GetGenericMetadata

func (x *CreateIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata

func (x *CreateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata() *NearestNeighborSearchOperationMetadata

func (*CreateIndexOperationMetadata) ProtoMessage

func (*CreateIndexOperationMetadata) ProtoMessage()

func (*CreateIndexOperationMetadata) ProtoReflect

func (x *CreateIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateIndexOperationMetadata) Reset

func (x *CreateIndexOperationMetadata) Reset()

func (*CreateIndexOperationMetadata) String

func (x *CreateIndexOperationMetadata) String() string

CreateIndexRequest

type CreateIndexRequest struct {

	// Required. The resource name of the Location to create the Index in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Index to create.
	Index *Index `protobuf:"bytes,2,opt,name=index,proto3" json:"index,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].

func (*CreateIndexRequest) Descriptor

func (*CreateIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexRequest.ProtoReflect.Descriptor instead.

func (*CreateIndexRequest) GetIndex

func (x *CreateIndexRequest) GetIndex() *Index

func (*CreateIndexRequest) GetParent

func (x *CreateIndexRequest) GetParent() string

func (*CreateIndexRequest) ProtoMessage

func (*CreateIndexRequest) ProtoMessage()

func (*CreateIndexRequest) ProtoReflect

func (x *CreateIndexRequest) ProtoReflect() protoreflect.Message

func (*CreateIndexRequest) Reset

func (x *CreateIndexRequest) Reset()

func (*CreateIndexRequest) String

func (x *CreateIndexRequest) String() string

CreateMetadataSchemaRequest

type CreateMetadataSchemaRequest struct {

	// Required. The resource name of the MetadataStore where the MetadataSchema
	// should be created. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The MetadataSchema to create.
	MetadataSchema *MetadataSchema `protobuf:"bytes,2,opt,name=metadata_schema,json=metadataSchema,proto3" json:"metadata_schema,omitempty"`
	// The {metadata_schema} portion of the resource name with the format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`
	// If not provided, the MetadataStore's ID will be a UUID generated by the
	// service.
	// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
	// Must be unique across all MetadataSchemas in the parent Location.
	// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
	// if the caller can't view the preexisting MetadataSchema.)
	MetadataSchemaId string `protobuf:"bytes,3,opt,name=metadata_schema_id,json=metadataSchemaId,proto3" json:"metadata_schema_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].

func (*CreateMetadataSchemaRequest) Descriptor

func (*CreateMetadataSchemaRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateMetadataSchemaRequest.ProtoReflect.Descriptor instead.

func (*CreateMetadataSchemaRequest) GetMetadataSchema

func (x *CreateMetadataSchemaRequest) GetMetadataSchema() *MetadataSchema

func (*CreateMetadataSchemaRequest) GetMetadataSchemaId

func (x *CreateMetadataSchemaRequest) GetMetadataSchemaId() string

func (*CreateMetadataSchemaRequest) GetParent

func (x *CreateMetadataSchemaRequest) GetParent() string

func (*CreateMetadataSchemaRequest) ProtoMessage

func (*CreateMetadataSchemaRequest) ProtoMessage()

func (*CreateMetadataSchemaRequest) ProtoReflect

func (x *CreateMetadataSchemaRequest) ProtoReflect() protoreflect.Message

func (*CreateMetadataSchemaRequest) Reset

func (x *CreateMetadataSchemaRequest) Reset()

func (*CreateMetadataSchemaRequest) String

func (x *CreateMetadataSchemaRequest) String() string

CreateMetadataStoreOperationMetadata

type CreateMetadataStoreOperationMetadata struct {

	// Operation metadata for creating a MetadataStore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].

func (*CreateMetadataStoreOperationMetadata) Descriptor

func (*CreateMetadataStoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateMetadataStoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateMetadataStoreOperationMetadata) GetGenericMetadata

func (x *CreateMetadataStoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateMetadataStoreOperationMetadata) ProtoMessage

func (*CreateMetadataStoreOperationMetadata) ProtoMessage()

func (*CreateMetadataStoreOperationMetadata) ProtoReflect

func (x *CreateMetadataStoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateMetadataStoreOperationMetadata) Reset

func (x *CreateMetadataStoreOperationMetadata) Reset()

func (*CreateMetadataStoreOperationMetadata) String

func (x *CreateMetadataStoreOperationMetadata) String() string

CreateMetadataStoreRequest

type CreateMetadataStoreRequest struct {

	// Required. The resource name of the Location where the MetadataStore should
	// be created.
	// Format: `projects/{project}/locations/{location}/`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The MetadataStore to create.
	MetadataStore *MetadataStore `protobuf:"bytes,2,opt,name=metadata_store,json=metadataStore,proto3" json:"metadata_store,omitempty"`
	// The {metadatastore} portion of the resource name with the format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	// If not provided, the MetadataStore's ID will be a UUID generated by the
	// service.
	// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
	// Must be unique across all MetadataStores in the parent Location.
	// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
	// if the caller can't view the preexisting MetadataStore.)
	MetadataStoreId string `protobuf:"bytes,3,opt,name=metadata_store_id,json=metadataStoreId,proto3" json:"metadata_store_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].

func (*CreateMetadataStoreRequest) Descriptor

func (*CreateMetadataStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateMetadataStoreRequest.ProtoReflect.Descriptor instead.

func (*CreateMetadataStoreRequest) GetMetadataStore

func (x *CreateMetadataStoreRequest) GetMetadataStore() *MetadataStore

func (*CreateMetadataStoreRequest) GetMetadataStoreId

func (x *CreateMetadataStoreRequest) GetMetadataStoreId() string

func (*CreateMetadataStoreRequest) GetParent

func (x *CreateMetadataStoreRequest) GetParent() string

func (*CreateMetadataStoreRequest) ProtoMessage

func (*CreateMetadataStoreRequest) ProtoMessage()

func (*CreateMetadataStoreRequest) ProtoReflect

func (x *CreateMetadataStoreRequest) ProtoReflect() protoreflect.Message

func (*CreateMetadataStoreRequest) Reset

func (x *CreateMetadataStoreRequest) Reset()

func (*CreateMetadataStoreRequest) String

func (x *CreateMetadataStoreRequest) String() string

CreateModelDeploymentMonitoringJobRequest

type CreateModelDeploymentMonitoringJobRequest struct {
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`

	ModelDeploymentMonitoringJob *ModelDeploymentMonitoringJob "" /* 149 byte string literal not displayed */

}

Request message for [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].

func (*CreateModelDeploymentMonitoringJobRequest) Descriptor

func (*CreateModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*CreateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob

func (x *CreateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob() *ModelDeploymentMonitoringJob

func (*CreateModelDeploymentMonitoringJobRequest) GetParent

func (x *CreateModelDeploymentMonitoringJobRequest) GetParent() string

func (*CreateModelDeploymentMonitoringJobRequest) ProtoMessage

func (*CreateModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*CreateModelDeploymentMonitoringJobRequest) ProtoReflect

func (x *CreateModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*CreateModelDeploymentMonitoringJobRequest) Reset

func (x *CreateModelDeploymentMonitoringJobRequest) Reset()

func (*CreateModelDeploymentMonitoringJobRequest) String

func (x *CreateModelDeploymentMonitoringJobRequest) String() string

CreateNasJobRequest

type CreateNasJobRequest struct {

	// Required. The resource name of the Location to create the NasJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The NasJob to create.
	NasJob *NasJob `protobuf:"bytes,2,opt,name=nas_job,json=nasJob,proto3" json:"nas_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateNasJob][google.cloud.aiplatform.v1.JobService.CreateNasJob].

func (*CreateNasJobRequest) Descriptor

func (*CreateNasJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateNasJobRequest.ProtoReflect.Descriptor instead.

func (*CreateNasJobRequest) GetNasJob

func (x *CreateNasJobRequest) GetNasJob() *NasJob

func (*CreateNasJobRequest) GetParent

func (x *CreateNasJobRequest) GetParent() string

func (*CreateNasJobRequest) ProtoMessage

func (*CreateNasJobRequest) ProtoMessage()

func (*CreateNasJobRequest) ProtoReflect

func (x *CreateNasJobRequest) ProtoReflect() protoreflect.Message

func (*CreateNasJobRequest) Reset

func (x *CreateNasJobRequest) Reset()

func (*CreateNasJobRequest) String

func (x *CreateNasJobRequest) String() string

CreatePipelineJobRequest

type CreatePipelineJobRequest struct {

	// Required. The resource name of the Location to create the PipelineJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The PipelineJob to create.
	PipelineJob *PipelineJob `protobuf:"bytes,2,opt,name=pipeline_job,json=pipelineJob,proto3" json:"pipeline_job,omitempty"`
	// The ID to use for the PipelineJob, which will become the final component of
	// the PipelineJob name. If not provided, an ID will be automatically
	// generated.
	//
	// This value should be less than 128 characters, and valid characters
	// are /[a-z][0-9]-/.
	PipelineJobId string `protobuf:"bytes,3,opt,name=pipeline_job_id,json=pipelineJobId,proto3" json:"pipeline_job_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].

func (*CreatePipelineJobRequest) Descriptor

func (*CreatePipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreatePipelineJobRequest.ProtoReflect.Descriptor instead.

func (*CreatePipelineJobRequest) GetParent

func (x *CreatePipelineJobRequest) GetParent() string

func (*CreatePipelineJobRequest) GetPipelineJob

func (x *CreatePipelineJobRequest) GetPipelineJob() *PipelineJob

func (*CreatePipelineJobRequest) GetPipelineJobId

func (x *CreatePipelineJobRequest) GetPipelineJobId() string

func (*CreatePipelineJobRequest) ProtoMessage

func (*CreatePipelineJobRequest) ProtoMessage()

func (*CreatePipelineJobRequest) ProtoReflect

func (x *CreatePipelineJobRequest) ProtoReflect() protoreflect.Message

func (*CreatePipelineJobRequest) Reset

func (x *CreatePipelineJobRequest) Reset()

func (*CreatePipelineJobRequest) String

func (x *CreatePipelineJobRequest) String() string

CreateSpecialistPoolOperationMetadata

type CreateSpecialistPoolOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].

func (*CreateSpecialistPoolOperationMetadata) Descriptor

func (*CreateSpecialistPoolOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateSpecialistPoolOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateSpecialistPoolOperationMetadata) GetGenericMetadata

func (x *CreateSpecialistPoolOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateSpecialistPoolOperationMetadata) ProtoMessage

func (*CreateSpecialistPoolOperationMetadata) ProtoMessage()

func (*CreateSpecialistPoolOperationMetadata) ProtoReflect

func (x *CreateSpecialistPoolOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateSpecialistPoolOperationMetadata) Reset

func (x *CreateSpecialistPoolOperationMetadata) Reset()

func (*CreateSpecialistPoolOperationMetadata) String

func (x *CreateSpecialistPoolOperationMetadata) String() string

CreateSpecialistPoolRequest

type CreateSpecialistPoolRequest struct {

	// Required. The parent Project name for the new SpecialistPool.
	// The form is `projects/{project}/locations/{location}`.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The SpecialistPool to create.
	SpecialistPool *SpecialistPool `protobuf:"bytes,2,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].

func (*CreateSpecialistPoolRequest) Descriptor

func (*CreateSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*CreateSpecialistPoolRequest) GetParent

func (x *CreateSpecialistPoolRequest) GetParent() string

func (*CreateSpecialistPoolRequest) GetSpecialistPool

func (x *CreateSpecialistPoolRequest) GetSpecialistPool() *SpecialistPool

func (*CreateSpecialistPoolRequest) ProtoMessage

func (*CreateSpecialistPoolRequest) ProtoMessage()

func (*CreateSpecialistPoolRequest) ProtoReflect

func (x *CreateSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*CreateSpecialistPoolRequest) Reset

func (x *CreateSpecialistPoolRequest) Reset()

func (*CreateSpecialistPoolRequest) String

func (x *CreateSpecialistPoolRequest) String() string

CreateStudyRequest

type CreateStudyRequest struct {

	// Required. The resource name of the Location to create the CustomJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Study configuration used to create the Study.
	Study *Study `protobuf:"bytes,2,opt,name=study,proto3" json:"study,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].

func (*CreateStudyRequest) Descriptor

func (*CreateStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateStudyRequest.ProtoReflect.Descriptor instead.

func (*CreateStudyRequest) GetParent

func (x *CreateStudyRequest) GetParent() string

func (*CreateStudyRequest) GetStudy

func (x *CreateStudyRequest) GetStudy() *Study

func (*CreateStudyRequest) ProtoMessage

func (*CreateStudyRequest) ProtoMessage()

func (*CreateStudyRequest) ProtoReflect

func (x *CreateStudyRequest) ProtoReflect() protoreflect.Message

func (*CreateStudyRequest) Reset

func (x *CreateStudyRequest) Reset()

func (*CreateStudyRequest) String

func (x *CreateStudyRequest) String() string

CreateTensorboardExperimentRequest

type CreateTensorboardExperimentRequest struct {
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`

	TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`

	TensorboardExperimentId string "" /* 132 byte string literal not displayed */

}

Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].

func (*CreateTensorboardExperimentRequest) Descriptor

func (*CreateTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardExperimentRequest) GetParent

func (x *CreateTensorboardExperimentRequest) GetParent() string

func (*CreateTensorboardExperimentRequest) GetTensorboardExperiment

func (x *CreateTensorboardExperimentRequest) GetTensorboardExperiment() *TensorboardExperiment

func (*CreateTensorboardExperimentRequest) GetTensorboardExperimentId

func (x *CreateTensorboardExperimentRequest) GetTensorboardExperimentId() string

func (*CreateTensorboardExperimentRequest) ProtoMessage

func (*CreateTensorboardExperimentRequest) ProtoMessage()

func (*CreateTensorboardExperimentRequest) ProtoReflect

func (x *CreateTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardExperimentRequest) Reset

func (x *CreateTensorboardExperimentRequest) Reset()

func (*CreateTensorboardExperimentRequest) String

func (x *CreateTensorboardExperimentRequest) String() string

CreateTensorboardOperationMetadata

type CreateTensorboardOperationMetadata struct {

	// Operation metadata for Tensorboard.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create Tensorboard.

func (*CreateTensorboardOperationMetadata) Descriptor

func (*CreateTensorboardOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateTensorboardOperationMetadata) GetGenericMetadata

func (x *CreateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateTensorboardOperationMetadata) ProtoMessage

func (*CreateTensorboardOperationMetadata) ProtoMessage()

func (*CreateTensorboardOperationMetadata) ProtoReflect

func (x *CreateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateTensorboardOperationMetadata) Reset

func (x *CreateTensorboardOperationMetadata) Reset()

func (*CreateTensorboardOperationMetadata) String

func (x *CreateTensorboardOperationMetadata) String() string

CreateTensorboardRequest

type CreateTensorboardRequest struct {

	// Required. The resource name of the Location to create the Tensorboard in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Tensorboard to create.
	Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].

func (*CreateTensorboardRequest) Descriptor

func (*CreateTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardRequest) GetParent

func (x *CreateTensorboardRequest) GetParent() string

func (*CreateTensorboardRequest) GetTensorboard

func (x *CreateTensorboardRequest) GetTensorboard() *Tensorboard

func (*CreateTensorboardRequest) ProtoMessage

func (*CreateTensorboardRequest) ProtoMessage()

func (*CreateTensorboardRequest) ProtoReflect

func (x *CreateTensorboardRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardRequest) Reset

func (x *CreateTensorboardRequest) Reset()

func (*CreateTensorboardRequest) String

func (x *CreateTensorboardRequest) String() string

CreateTensorboardRunRequest

type CreateTensorboardRunRequest struct {

	// Required. The resource name of the TensorboardExperiment to create the
	// TensorboardRun in. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The TensorboardRun to create.
	TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
	// Required. The ID to use for the Tensorboard run, which becomes the final
	// component of the Tensorboard run's resource name.
	//
	// This value should be 1-128 characters, and valid characters
	// are /[a-z][0-9]-/.
	TensorboardRunId string `protobuf:"bytes,3,opt,name=tensorboard_run_id,json=tensorboardRunId,proto3" json:"tensorboard_run_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].

func (*CreateTensorboardRunRequest) Descriptor

func (*CreateTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardRunRequest) GetParent

func (x *CreateTensorboardRunRequest) GetParent() string

func (*CreateTensorboardRunRequest) GetTensorboardRun

func (x *CreateTensorboardRunRequest) GetTensorboardRun() *TensorboardRun

func (*CreateTensorboardRunRequest) GetTensorboardRunId

func (x *CreateTensorboardRunRequest) GetTensorboardRunId() string

func (*CreateTensorboardRunRequest) ProtoMessage

func (*CreateTensorboardRunRequest) ProtoMessage()

func (*CreateTensorboardRunRequest) ProtoReflect

func (x *CreateTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardRunRequest) Reset

func (x *CreateTensorboardRunRequest) Reset()

func (*CreateTensorboardRunRequest) String

func (x *CreateTensorboardRunRequest) String() string

CreateTensorboardTimeSeriesRequest

type CreateTensorboardTimeSeriesRequest struct {
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`

	TensorboardTimeSeriesId string "" /* 134 byte string literal not displayed */

	TensorboardTimeSeries *TensorboardTimeSeries `protobuf:"bytes,2,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`

}

Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].

func (*CreateTensorboardTimeSeriesRequest) Descriptor

func (*CreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardTimeSeriesRequest) GetParent

func (x *CreateTensorboardTimeSeriesRequest) GetParent() string

func (*CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries

func (x *CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries() *TensorboardTimeSeries

func (*CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeriesId

func (x *CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeriesId() string

func (*CreateTensorboardTimeSeriesRequest) ProtoMessage

func (*CreateTensorboardTimeSeriesRequest) ProtoMessage()

func (*CreateTensorboardTimeSeriesRequest) ProtoReflect

func (x *CreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardTimeSeriesRequest) Reset

func (x *CreateTensorboardTimeSeriesRequest) Reset()

func (*CreateTensorboardTimeSeriesRequest) String

func (x *CreateTensorboardTimeSeriesRequest) String() string

CreateTrainingPipelineRequest

type CreateTrainingPipelineRequest struct {

	// Required. The resource name of the Location to create the TrainingPipeline
	// in. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The TrainingPipeline to create.
	TrainingPipeline *TrainingPipeline `protobuf:"bytes,2,opt,name=training_pipeline,json=trainingPipeline,proto3" json:"training_pipeline,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].

func (*CreateTrainingPipelineRequest) Descriptor

func (*CreateTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*CreateTrainingPipelineRequest) GetParent

func (x *CreateTrainingPipelineRequest) GetParent() string

func (*CreateTrainingPipelineRequest) GetTrainingPipeline

func (x *CreateTrainingPipelineRequest) GetTrainingPipeline() *TrainingPipeline

func (*CreateTrainingPipelineRequest) ProtoMessage

func (*CreateTrainingPipelineRequest) ProtoMessage()

func (*CreateTrainingPipelineRequest) ProtoReflect

func (x *CreateTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*CreateTrainingPipelineRequest) Reset

func (x *CreateTrainingPipelineRequest) Reset()

func (*CreateTrainingPipelineRequest) String

func (x *CreateTrainingPipelineRequest) String() string

CreateTrialRequest

type CreateTrialRequest struct {

	// Required. The resource name of the Study to create the Trial in.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Trial to create.
	Trial *Trial `protobuf:"bytes,2,opt,name=trial,proto3" json:"trial,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].

func (*CreateTrialRequest) Descriptor

func (*CreateTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTrialRequest.ProtoReflect.Descriptor instead.

func (*CreateTrialRequest) GetParent

func (x *CreateTrialRequest) GetParent() string

func (*CreateTrialRequest) GetTrial

func (x *CreateTrialRequest) GetTrial() *Trial

func (*CreateTrialRequest) ProtoMessage

func (*CreateTrialRequest) ProtoMessage()

func (*CreateTrialRequest) ProtoReflect

func (x *CreateTrialRequest) ProtoReflect() protoreflect.Message

func (*CreateTrialRequest) Reset

func (x *CreateTrialRequest) Reset()

func (*CreateTrialRequest) String

func (x *CreateTrialRequest) String() string

CsvDestination

type CsvDestination struct {

	// Required. Google Cloud Storage location.
	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3" json:"gcs_destination,omitempty"`
	// contains filtered or unexported fields
}

The storage details for CSV output content.

func (*CsvDestination) Descriptor

func (*CsvDestination) Descriptor() ([]byte, []int)

Deprecated: Use CsvDestination.ProtoReflect.Descriptor instead.

func (*CsvDestination) GetGcsDestination

func (x *CsvDestination) GetGcsDestination() *GcsDestination

func (*CsvDestination) ProtoMessage

func (*CsvDestination) ProtoMessage()

func (*CsvDestination) ProtoReflect

func (x *CsvDestination) ProtoReflect() protoreflect.Message

func (*CsvDestination) Reset

func (x *CsvDestination) Reset()

func (*CsvDestination) String

func (x *CsvDestination) String() string

CsvSource

type CsvSource struct {

	// Required. Google Cloud Storage location.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
	// contains filtered or unexported fields
}

The storage details for CSV input content.

func (*CsvSource) Descriptor

func (*CsvSource) Descriptor() ([]byte, []int)

Deprecated: Use CsvSource.ProtoReflect.Descriptor instead.

func (*CsvSource) GetGcsSource

func (x *CsvSource) GetGcsSource() *GcsSource

func (*CsvSource) ProtoMessage

func (*CsvSource) ProtoMessage()

func (*CsvSource) ProtoReflect

func (x *CsvSource) ProtoReflect() protoreflect.Message

func (*CsvSource) Reset

func (x *CsvSource) Reset()

func (*CsvSource) String

func (x *CsvSource) String() string

CustomJob

type CustomJob struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	JobSpec *CustomJobSpec `protobuf:"bytes,4,opt,name=job_spec,json=jobSpec,proto3" json:"job_spec,omitempty"`

	State JobState `protobuf:"varint,5,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,12,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

	WebAccessUris map[string]string "" /* 191 byte string literal not displayed */

}

Represents a job that runs custom workloads such as a Docker container or a Python package. A CustomJob can have multiple worker pools and each worker pool can have its own machine and input spec. A CustomJob will be cleaned up once the job enters terminal state (failed or succeeded).

func (*CustomJob) Descriptor

func (*CustomJob) Descriptor() ([]byte, []int)

Deprecated: Use CustomJob.ProtoReflect.Descriptor instead.

func (*CustomJob) GetCreateTime

func (x *CustomJob) GetCreateTime() *timestamppb.Timestamp

func (*CustomJob) GetDisplayName

func (x *CustomJob) GetDisplayName() string

func (*CustomJob) GetEncryptionSpec

func (x *CustomJob) GetEncryptionSpec() *EncryptionSpec

func (*CustomJob) GetEndTime

func (x *CustomJob) GetEndTime() *timestamppb.Timestamp

func (*CustomJob) GetError

func (x *CustomJob) GetError() *status.Status

func (*CustomJob) GetJobSpec

func (x *CustomJob) GetJobSpec() *CustomJobSpec

func (*CustomJob) GetLabels

func (x *CustomJob) GetLabels() map[string]string

func (*CustomJob) GetName

func (x *CustomJob) GetName() string

func (*CustomJob) GetStartTime

func (x *CustomJob) GetStartTime() *timestamppb.Timestamp

func (*CustomJob) GetState

func (x *CustomJob) GetState() JobState

func (*CustomJob) GetUpdateTime

func (x *CustomJob) GetUpdateTime() *timestamppb.Timestamp

func (*CustomJob) GetWebAccessUris

func (x *CustomJob) GetWebAccessUris() map[string]string

func (*CustomJob) ProtoMessage

func (*CustomJob) ProtoMessage()

func (*CustomJob) ProtoReflect

func (x *CustomJob) ProtoReflect() protoreflect.Message

func (*CustomJob) Reset

func (x *CustomJob) Reset()

func (*CustomJob) String

func (x *CustomJob) String() string

CustomJobSpec

type CustomJobSpec struct {
	WorkerPoolSpecs []*WorkerPoolSpec `protobuf:"bytes,1,rep,name=worker_pool_specs,json=workerPoolSpecs,proto3" json:"worker_pool_specs,omitempty"`

	Scheduling *Scheduling `protobuf:"bytes,3,opt,name=scheduling,proto3" json:"scheduling,omitempty"`

	ServiceAccount string `protobuf:"bytes,4,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`

	Network string `protobuf:"bytes,5,opt,name=network,proto3" json:"network,omitempty"`

	ReservedIpRanges []string `protobuf:"bytes,13,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"`

	BaseOutputDirectory *GcsDestination `protobuf:"bytes,6,opt,name=base_output_directory,json=baseOutputDirectory,proto3" json:"base_output_directory,omitempty"`

	Tensorboard string `protobuf:"bytes,7,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`

	EnableWebAccess bool `protobuf:"varint,10,opt,name=enable_web_access,json=enableWebAccess,proto3" json:"enable_web_access,omitempty"`

	EnableDashboardAccess bool "" /* 128 byte string literal not displayed */

	Experiment string `protobuf:"bytes,17,opt,name=experiment,proto3" json:"experiment,omitempty"`

	ExperimentRun string `protobuf:"bytes,18,opt,name=experiment_run,json=experimentRun,proto3" json:"experiment_run,omitempty"`

}

Represents the spec of a CustomJob.

func (*CustomJobSpec) Descriptor

func (*CustomJobSpec) Descriptor() ([]byte, []int)

Deprecated: Use CustomJobSpec.ProtoReflect.Descriptor instead.

func (*CustomJobSpec) GetBaseOutputDirectory

func (x *CustomJobSpec) GetBaseOutputDirectory() *GcsDestination

func (*CustomJobSpec) GetEnableDashboardAccess

func (x *CustomJobSpec) GetEnableDashboardAccess() bool

func (*CustomJobSpec) GetEnableWebAccess

func (x *CustomJobSpec) GetEnableWebAccess() bool

func (*CustomJobSpec) GetExperiment

func (x *CustomJobSpec) GetExperiment() string

func (*CustomJobSpec) GetExperimentRun

func (x *CustomJobSpec) GetExperimentRun() string

func (*CustomJobSpec) GetNetwork

func (x *CustomJobSpec) GetNetwork() string

func (*CustomJobSpec) GetReservedIpRanges

func (x *CustomJobSpec) GetReservedIpRanges() []string

func (*CustomJobSpec) GetScheduling

func (x *CustomJobSpec) GetScheduling() *Scheduling

func (*CustomJobSpec) GetServiceAccount

func (x *CustomJobSpec) GetServiceAccount() string

func (*CustomJobSpec) GetTensorboard

func (x *CustomJobSpec) GetTensorboard() string

func (*CustomJobSpec) GetWorkerPoolSpecs

func (x *CustomJobSpec) GetWorkerPoolSpecs() []*WorkerPoolSpec

func (*CustomJobSpec) ProtoMessage

func (*CustomJobSpec) ProtoMessage()

func (*CustomJobSpec) ProtoReflect

func (x *CustomJobSpec) ProtoReflect() protoreflect.Message

func (*CustomJobSpec) Reset

func (x *CustomJobSpec) Reset()

func (*CustomJobSpec) String

func (x *CustomJobSpec) String() string

DataItem

type DataItem struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	Payload *structpb.Value `protobuf:"bytes,4,opt,name=payload,proto3" json:"payload,omitempty"`

	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`

}

A piece of data in a Dataset. Could be an image, a video, a document or plain text.

func (*DataItem) Descriptor

func (*DataItem) Descriptor() ([]byte, []int)

Deprecated: Use DataItem.ProtoReflect.Descriptor instead.

func (*DataItem) GetCreateTime

func (x *DataItem) GetCreateTime() *timestamppb.Timestamp

func (*DataItem) GetEtag

func (x *DataItem) GetEtag() string

func (*DataItem) GetLabels

func (x *DataItem) GetLabels() map[string]string

func (*DataItem) GetName

func (x *DataItem) GetName() string

func (*DataItem) GetPayload

func (x *DataItem) GetPayload() *structpb.Value

func (*DataItem) GetUpdateTime

func (x *DataItem) GetUpdateTime() *timestamppb.Timestamp

func (*DataItem) ProtoMessage

func (*DataItem) ProtoMessage()

func (*DataItem) ProtoReflect

func (x *DataItem) ProtoReflect() protoreflect.Message

func (*DataItem) Reset

func (x *DataItem) Reset()

func (*DataItem) String

func (x *DataItem) String() string

DataItemView

type DataItemView struct {
	DataItem *DataItem `protobuf:"bytes,1,opt,name=data_item,json=dataItem,proto3" json:"data_item,omitempty"`

	Annotations []*Annotation `protobuf:"bytes,2,rep,name=annotations,proto3" json:"annotations,omitempty"`

	HasTruncatedAnnotations bool "" /* 133 byte string literal not displayed */

}

A container for a single DataItem and Annotations on it.

func (*DataItemView) Descriptor

func (*DataItemView) Descriptor() ([]byte, []int)

Deprecated: Use DataItemView.ProtoReflect.Descriptor instead.

func (*DataItemView) GetAnnotations

func (x *DataItemView) GetAnnotations() []*Annotation

func (*DataItemView) GetDataItem

func (x *DataItemView) GetDataItem() *DataItem

func (*DataItemView) GetHasTruncatedAnnotations

func (x *DataItemView) GetHasTruncatedAnnotations() bool

func (*DataItemView) ProtoMessage

func (*DataItemView) ProtoMessage()

func (*DataItemView) ProtoReflect

func (x *DataItemView) ProtoReflect() protoreflect.Message

func (*DataItemView) Reset

func (x *DataItemView) Reset()

func (*DataItemView) String

func (x *DataItemView) String() string

DataLabelingJob

type DataLabelingJob struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Datasets []string `protobuf:"bytes,3,rep,name=datasets,proto3" json:"datasets,omitempty"`

	AnnotationLabels map[string]string "" /* 198 byte string literal not displayed */

	LabelerCount int32 `protobuf:"varint,4,opt,name=labeler_count,json=labelerCount,proto3" json:"labeler_count,omitempty"`

	InstructionUri string `protobuf:"bytes,5,opt,name=instruction_uri,json=instructionUri,proto3" json:"instruction_uri,omitempty"`

	InputsSchemaUri string `protobuf:"bytes,6,opt,name=inputs_schema_uri,json=inputsSchemaUri,proto3" json:"inputs_schema_uri,omitempty"`

	Inputs *structpb.Value `protobuf:"bytes,7,opt,name=inputs,proto3" json:"inputs,omitempty"`

	State JobState `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`

	LabelingProgress int32 `protobuf:"varint,13,opt,name=labeling_progress,json=labelingProgress,proto3" json:"labeling_progress,omitempty"`

	CurrentSpend *money.Money `protobuf:"bytes,14,opt,name=current_spend,json=currentSpend,proto3" json:"current_spend,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Error *status.Status `protobuf:"bytes,22,opt,name=error,proto3" json:"error,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	SpecialistPools []string `protobuf:"bytes,16,rep,name=specialist_pools,json=specialistPools,proto3" json:"specialist_pools,omitempty"`

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,20,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

	ActiveLearningConfig *ActiveLearningConfig `protobuf:"bytes,21,opt,name=active_learning_config,json=activeLearningConfig,proto3" json:"active_learning_config,omitempty"`

}

DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:

func (*DataLabelingJob) Descriptor

func (*DataLabelingJob) Descriptor() ([]byte, []int)

Deprecated: Use DataLabelingJob.ProtoReflect.Descriptor instead.

func (*DataLabelingJob) GetActiveLearningConfig

func (x *DataLabelingJob) GetActiveLearningConfig() *ActiveLearningConfig

func (*DataLabelingJob) GetAnnotationLabels

func (x *DataLabelingJob) GetAnnotationLabels() map[string]string

func (*DataLabelingJob) GetCreateTime

func (x *DataLabelingJob) GetCreateTime() *timestamppb.Timestamp

func (*DataLabelingJob) GetCurrentSpend

func (x *DataLabelingJob) GetCurrentSpend() *money.Money

func (*DataLabelingJob) GetDatasets

func (x *DataLabelingJob) GetDatasets() []string

func (*DataLabelingJob) GetDisplayName

func (x *DataLabelingJob) GetDisplayName() string

func (*DataLabelingJob) GetEncryptionSpec

func (x *DataLabelingJob) GetEncryptionSpec() *EncryptionSpec

func (*DataLabelingJob) GetError

func (x *DataLabelingJob) GetError() *status.Status

func (*DataLabelingJob) GetInputs

func (x *DataLabelingJob) GetInputs() *structpb.Value

func (*DataLabelingJob) GetInputsSchemaUri

func (x *DataLabelingJob) GetInputsSchemaUri() string

func (*DataLabelingJob) GetInstructionUri

func (x *DataLabelingJob) GetInstructionUri() string

func (*DataLabelingJob) GetLabelerCount

func (x *DataLabelingJob) GetLabelerCount() int32

func (*DataLabelingJob) GetLabelingProgress

func (x *DataLabelingJob) GetLabelingProgress() int32

func (*DataLabelingJob) GetLabels

func (x *DataLabelingJob) GetLabels() map[string]string

func (*DataLabelingJob) GetName

func (x *DataLabelingJob) GetName() string

func (*DataLabelingJob) GetSpecialistPools

func (x *DataLabelingJob) GetSpecialistPools() []string

func (*DataLabelingJob) GetState

func (x *DataLabelingJob) GetState() JobState

func (*DataLabelingJob) GetUpdateTime

func (x *DataLabelingJob) GetUpdateTime() *timestamppb.Timestamp

func (*DataLabelingJob) ProtoMessage

func (*DataLabelingJob) ProtoMessage()

func (*DataLabelingJob) ProtoReflect

func (x *DataLabelingJob) ProtoReflect() protoreflect.Message

func (*DataLabelingJob) Reset

func (x *DataLabelingJob) Reset()

func (*DataLabelingJob) String

func (x *DataLabelingJob) String() string

Dataset

type Dataset struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`

	MetadataSchemaUri string `protobuf:"bytes,3,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`

	Metadata *structpb.Value `protobuf:"bytes,8,opt,name=metadata,proto3" json:"metadata,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	SavedQueries []*SavedQuery `protobuf:"bytes,9,rep,name=saved_queries,json=savedQueries,proto3" json:"saved_queries,omitempty"`

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,11,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

	MetadataArtifact string `protobuf:"bytes,17,opt,name=metadata_artifact,json=metadataArtifact,proto3" json:"metadata_artifact,omitempty"`

}

A collection of DataItems and Annotations on them.

func (*Dataset) Descriptor

func (*Dataset) Descriptor() ([]byte, []int)

Deprecated: Use Dataset.ProtoReflect.Descriptor instead.

func (*Dataset) GetCreateTime

func (x *Dataset) GetCreateTime() *timestamppb.Timestamp

func (*Dataset) GetDescription

func (x *Dataset) GetDescription() string

func (*Dataset) GetDisplayName

func (x *Dataset) GetDisplayName() string

func (*Dataset) GetEncryptionSpec

func (x *Dataset) GetEncryptionSpec() *EncryptionSpec

func (*Dataset) GetEtag

func (x *Dataset) GetEtag() string

func (*Dataset) GetLabels

func (x *Dataset) GetLabels() map[string]string

func (*Dataset) GetMetadata

func (x *Dataset) GetMetadata() *structpb.Value

func (*Dataset) GetMetadataArtifact

func (x *Dataset) GetMetadataArtifact() string

func (*Dataset) GetMetadataSchemaUri

func (x *Dataset) GetMetadataSchemaUri() string

func (*Dataset) GetName

func (x *Dataset) GetName() string

func (*Dataset) GetSavedQueries

func (x *Dataset) GetSavedQueries() []*SavedQuery

func (*Dataset) GetUpdateTime

func (x *Dataset) GetUpdateTime() *timestamppb.Timestamp

func (*Dataset) ProtoMessage

func (*Dataset) ProtoMessage()

func (*Dataset) ProtoReflect

func (x *Dataset) ProtoReflect() protoreflect.Message

func (*Dataset) Reset

func (x *Dataset) Reset()

func (*Dataset) String

func (x *Dataset) String() string

DatasetServiceClient

type DatasetServiceClient interface {
	// Creates a Dataset.
	CreateDataset(ctx context.Context, in *CreateDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a Dataset.
	GetDataset(ctx context.Context, in *GetDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
	// Updates a Dataset.
	UpdateDataset(ctx context.Context, in *UpdateDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
	// Lists Datasets in a Location.
	ListDatasets(ctx context.Context, in *ListDatasetsRequest, opts ...grpc.CallOption) (*ListDatasetsResponse, error)
	// Deletes a Dataset.
	DeleteDataset(ctx context.Context, in *DeleteDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Imports data into a Dataset.
	ImportData(ctx context.Context, in *ImportDataRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Exports data from a Dataset.
	ExportData(ctx context.Context, in *ExportDataRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Lists DataItems in a Dataset.
	ListDataItems(ctx context.Context, in *ListDataItemsRequest, opts ...grpc.CallOption) (*ListDataItemsResponse, error)
	// Searches DataItems in a Dataset.
	SearchDataItems(ctx context.Context, in *SearchDataItemsRequest, opts ...grpc.CallOption) (*SearchDataItemsResponse, error)
	// Lists SavedQueries in a Dataset.
	ListSavedQueries(ctx context.Context, in *ListSavedQueriesRequest, opts ...grpc.CallOption) (*ListSavedQueriesResponse, error)
	// Gets an AnnotationSpec.
	GetAnnotationSpec(ctx context.Context, in *GetAnnotationSpecRequest, opts ...grpc.CallOption) (*AnnotationSpec, error)
	// Lists Annotations belongs to a dataitem
	ListAnnotations(ctx context.Context, in *ListAnnotationsRequest, opts ...grpc.CallOption) (*ListAnnotationsResponse, error)
}

DatasetServiceClient is the client API for DatasetService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewDatasetServiceClient

func NewDatasetServiceClient(cc grpc.ClientConnInterface) DatasetServiceClient

DatasetServiceServer

type DatasetServiceServer interface {
	// Creates a Dataset.
	CreateDataset(context.Context, *CreateDatasetRequest) (*longrunningpb.Operation, error)
	// Gets a Dataset.
	GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error)
	// Updates a Dataset.
	UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error)
	// Lists Datasets in a Location.
	ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error)
	// Deletes a Dataset.
	DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunningpb.Operation, error)
	// Imports data into a Dataset.
	ImportData(context.Context, *ImportDataRequest) (*longrunningpb.Operation, error)
	// Exports data from a Dataset.
	ExportData(context.Context, *ExportDataRequest) (*longrunningpb.Operation, error)
	// Lists DataItems in a Dataset.
	ListDataItems(context.Context, *ListDataItemsRequest) (*ListDataItemsResponse, error)
	// Searches DataItems in a Dataset.
	SearchDataItems(context.Context, *SearchDataItemsRequest) (*SearchDataItemsResponse, error)
	// Lists SavedQueries in a Dataset.
	ListSavedQueries(context.Context, *ListSavedQueriesRequest) (*ListSavedQueriesResponse, error)
	// Gets an AnnotationSpec.
	GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error)
	// Lists Annotations belongs to a dataitem
	ListAnnotations(context.Context, *ListAnnotationsRequest) (*ListAnnotationsResponse, error)
}

DatasetServiceServer is the server API for DatasetService service.

DedicatedResources

type DedicatedResources struct {
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`

	MinReplicaCount int32 `protobuf:"varint,2,opt,name=min_replica_count,json=minReplicaCount,proto3" json:"min_replica_count,omitempty"`

	MaxReplicaCount int32 `protobuf:"varint,3,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`

	AutoscalingMetricSpecs []*AutoscalingMetricSpec "" /* 129 byte string literal not displayed */

}

A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.

func (*DedicatedResources) Descriptor

func (*DedicatedResources) Descriptor() ([]byte, []int)

Deprecated: Use DedicatedResources.ProtoReflect.Descriptor instead.

func (*DedicatedResources) GetAutoscalingMetricSpecs

func (x *DedicatedResources) GetAutoscalingMetricSpecs() []*AutoscalingMetricSpec

func (*DedicatedResources) GetMachineSpec

func (x *DedicatedResources) GetMachineSpec() *MachineSpec

func (*DedicatedResources) GetMaxReplicaCount

func (x *DedicatedResources) GetMaxReplicaCount() int32

func (*DedicatedResources) GetMinReplicaCount

func (x *DedicatedResources) GetMinReplicaCount() int32

func (*DedicatedResources) ProtoMessage

func (*DedicatedResources) ProtoMessage()

func (*DedicatedResources) ProtoReflect

func (x *DedicatedResources) ProtoReflect() protoreflect.Message

func (*DedicatedResources) Reset

func (x *DedicatedResources) Reset()

func (*DedicatedResources) String

func (x *DedicatedResources) String() string

DeleteArtifactRequest

type DeleteArtifactRequest struct {

	// Required. The resource name of the Artifact to delete.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The etag of the Artifact to delete.
	// If this is provided, it must match the server's etag. Otherwise, the
	// request will fail with a FAILED_PRECONDITION.
	Etag string `protobuf:"bytes,2,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].

func (*DeleteArtifactRequest) Descriptor

func (*DeleteArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteArtifactRequest.ProtoReflect.Descriptor instead.

func (*DeleteArtifactRequest) GetEtag

func (x *DeleteArtifactRequest) GetEtag() string

func (*DeleteArtifactRequest) GetName

func (x *DeleteArtifactRequest) GetName() string

func (*DeleteArtifactRequest) ProtoMessage

func (*DeleteArtifactRequest) ProtoMessage()

func (*DeleteArtifactRequest) ProtoReflect

func (x *DeleteArtifactRequest) ProtoReflect() protoreflect.Message

func (*DeleteArtifactRequest) Reset

func (x *DeleteArtifactRequest) Reset()

func (*DeleteArtifactRequest) String

func (x *DeleteArtifactRequest) String() string

DeleteBatchPredictionJobRequest

type DeleteBatchPredictionJobRequest struct {

	// Required. The name of the BatchPredictionJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].

func (*DeleteBatchPredictionJobRequest) Descriptor

func (*DeleteBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteBatchPredictionJobRequest) GetName

func (x *DeleteBatchPredictionJobRequest) GetName() string

func (*DeleteBatchPredictionJobRequest) ProtoMessage

func (*DeleteBatchPredictionJobRequest) ProtoMessage()

func (*DeleteBatchPredictionJobRequest) ProtoReflect

func (x *DeleteBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteBatchPredictionJobRequest) Reset

func (x *DeleteBatchPredictionJobRequest) Reset()

func (*DeleteBatchPredictionJobRequest) String

func (x *DeleteBatchPredictionJobRequest) String() string

DeleteContextRequest

type DeleteContextRequest struct {

	// Required. The resource name of the Context to delete.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The force deletion semantics is still undefined.
	// Users should not use this field.
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// Optional. The etag of the Context to delete.
	// If this is provided, it must match the server's etag. Otherwise, the
	// request will fail with a FAILED_PRECONDITION.
	Etag string `protobuf:"bytes,3,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].

func (*DeleteContextRequest) Descriptor

func (*DeleteContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteContextRequest.ProtoReflect.Descriptor instead.

func (*DeleteContextRequest) GetEtag

func (x *DeleteContextRequest) GetEtag() string

func (*DeleteContextRequest) GetForce

func (x *DeleteContextRequest) GetForce() bool

func (*DeleteContextRequest) GetName

func (x *DeleteContextRequest) GetName() string

func (*DeleteContextRequest) ProtoMessage

func (*DeleteContextRequest) ProtoMessage()

func (*DeleteContextRequest) ProtoReflect

func (x *DeleteContextRequest) ProtoReflect() protoreflect.Message

func (*DeleteContextRequest) Reset

func (x *DeleteContextRequest) Reset()

func (*DeleteContextRequest) String

func (x *DeleteContextRequest) String() string

DeleteCustomJobRequest

type DeleteCustomJobRequest struct {

	// Required. The name of the CustomJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/customJobs/{custom_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].

func (*DeleteCustomJobRequest) Descriptor

func (*DeleteCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteCustomJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteCustomJobRequest) GetName

func (x *DeleteCustomJobRequest) GetName() string

func (*DeleteCustomJobRequest) ProtoMessage

func (*DeleteCustomJobRequest) ProtoMessage()

func (*DeleteCustomJobRequest) ProtoReflect

func (x *DeleteCustomJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteCustomJobRequest) Reset

func (x *DeleteCustomJobRequest) Reset()

func (*DeleteCustomJobRequest) String

func (x *DeleteCustomJobRequest) String() string

DeleteDataLabelingJobRequest

type DeleteDataLabelingJobRequest struct {

	// Required. The name of the DataLabelingJob to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].

func (*DeleteDataLabelingJobRequest) Descriptor

func (*DeleteDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteDataLabelingJobRequest) GetName

func (x *DeleteDataLabelingJobRequest) GetName() string

func (*DeleteDataLabelingJobRequest) ProtoMessage

func (*DeleteDataLabelingJobRequest) ProtoMessage()

func (*DeleteDataLabelingJobRequest) ProtoReflect

func (x *DeleteDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteDataLabelingJobRequest) Reset

func (x *DeleteDataLabelingJobRequest) Reset()

func (*DeleteDataLabelingJobRequest) String

func (x *DeleteDataLabelingJobRequest) String() string

DeleteDatasetRequest

type DeleteDatasetRequest struct {

	// Required. The resource name of the Dataset to delete.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].

func (*DeleteDatasetRequest) Descriptor

func (*DeleteDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteDatasetRequest.ProtoReflect.Descriptor instead.

func (*DeleteDatasetRequest) GetName

func (x *DeleteDatasetRequest) GetName() string

func (*DeleteDatasetRequest) ProtoMessage

func (*DeleteDatasetRequest) ProtoMessage()

func (*DeleteDatasetRequest) ProtoReflect

func (x *DeleteDatasetRequest) ProtoReflect() protoreflect.Message

func (*DeleteDatasetRequest) Reset

func (x *DeleteDatasetRequest) Reset()

func (*DeleteDatasetRequest) String

func (x *DeleteDatasetRequest) String() string

DeleteEndpointRequest

type DeleteEndpointRequest struct {

	// Required. The name of the Endpoint resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].

func (*DeleteEndpointRequest) Descriptor

func (*DeleteEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteEndpointRequest.ProtoReflect.Descriptor instead.

func (*DeleteEndpointRequest) GetName

func (x *DeleteEndpointRequest) GetName() string

func (*DeleteEndpointRequest) ProtoMessage

func (*DeleteEndpointRequest) ProtoMessage()

func (*DeleteEndpointRequest) ProtoReflect

func (x *DeleteEndpointRequest) ProtoReflect() protoreflect.Message

func (*DeleteEndpointRequest) Reset

func (x *DeleteEndpointRequest) Reset()

func (*DeleteEndpointRequest) String

func (x *DeleteEndpointRequest) String() string

DeleteEntityTypeRequest

type DeleteEntityTypeRequest struct {

	// Required. The name of the EntityType to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any Features for this EntityType will also be deleted.
	// (Otherwise, the request will only work if the EntityType has no Features.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteEntityTypes][].

func (*DeleteEntityTypeRequest) Descriptor

func (*DeleteEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*DeleteEntityTypeRequest) GetForce

func (x *DeleteEntityTypeRequest) GetForce() bool

func (*DeleteEntityTypeRequest) GetName

func (x *DeleteEntityTypeRequest) GetName() string

func (*DeleteEntityTypeRequest) ProtoMessage

func (*DeleteEntityTypeRequest) ProtoMessage()

func (*DeleteEntityTypeRequest) ProtoReflect

func (x *DeleteEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*DeleteEntityTypeRequest) Reset

func (x *DeleteEntityTypeRequest) Reset()

func (*DeleteEntityTypeRequest) String

func (x *DeleteEntityTypeRequest) String() string

DeleteExecutionRequest

type DeleteExecutionRequest struct {

	// Required. The resource name of the Execution to delete.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The etag of the Execution to delete.
	// If this is provided, it must match the server's etag. Otherwise, the
	// request will fail with a FAILED_PRECONDITION.
	Etag string `protobuf:"bytes,2,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].

func (*DeleteExecutionRequest) Descriptor

func (*DeleteExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteExecutionRequest.ProtoReflect.Descriptor instead.

func (*DeleteExecutionRequest) GetEtag

func (x *DeleteExecutionRequest) GetEtag() string

func (*DeleteExecutionRequest) GetName

func (x *DeleteExecutionRequest) GetName() string

func (*DeleteExecutionRequest) ProtoMessage

func (*DeleteExecutionRequest) ProtoMessage()

func (*DeleteExecutionRequest) ProtoReflect

func (x *DeleteExecutionRequest) ProtoReflect() protoreflect.Message

func (*DeleteExecutionRequest) Reset

func (x *DeleteExecutionRequest) Reset()

func (*DeleteExecutionRequest) String

func (x *DeleteExecutionRequest) String() string

DeleteFeatureRequest

type DeleteFeatureRequest struct {

	// Required. The name of the Features to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].

func (*DeleteFeatureRequest) Descriptor

func (*DeleteFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeatureRequest) GetName

func (x *DeleteFeatureRequest) GetName() string

func (*DeleteFeatureRequest) ProtoMessage

func (*DeleteFeatureRequest) ProtoMessage()

func (*DeleteFeatureRequest) ProtoReflect

func (x *DeleteFeatureRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeatureRequest) Reset

func (x *DeleteFeatureRequest) Reset()

func (*DeleteFeatureRequest) String

func (x *DeleteFeatureRequest) String() string

DeleteFeatureValuesOperationMetadata

type DeleteFeatureValuesOperationMetadata struct {

	// Operation metadata for Featurestore delete Features values.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that delete Feature values.

func (*DeleteFeatureValuesOperationMetadata) Descriptor

func (*DeleteFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesOperationMetadata) GetGenericMetadata

func (x *DeleteFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeleteFeatureValuesOperationMetadata) ProtoMessage

func (*DeleteFeatureValuesOperationMetadata) ProtoMessage()

func (*DeleteFeatureValuesOperationMetadata) ProtoReflect

func (x *DeleteFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesOperationMetadata) Reset

func (x *DeleteFeatureValuesOperationMetadata) Reset()

func (*DeleteFeatureValuesOperationMetadata) String

func (x *DeleteFeatureValuesOperationMetadata) String() string

DeleteFeatureValuesRequest

type DeleteFeatureValuesRequest struct {

	// Defines options to select feature values to be deleted.
	//
	// Types that are assignable to DeleteOption:
	//	*DeleteFeatureValuesRequest_SelectEntity_
	//	*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_
	DeleteOption isDeleteFeatureValuesRequest_DeleteOption `protobuf_oneof:"DeleteOption"`
	// Required. The resource name of the EntityType grouping the Features for
	// which values are being deleted from. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].

func (*DeleteFeatureValuesRequest) Descriptor

func (*DeleteFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesRequest) GetDeleteOption

func (m *DeleteFeatureValuesRequest) GetDeleteOption() isDeleteFeatureValuesRequest_DeleteOption

func (*DeleteFeatureValuesRequest) GetEntityType

func (x *DeleteFeatureValuesRequest) GetEntityType() string

func (*DeleteFeatureValuesRequest) GetSelectEntity

func (x *DeleteFeatureValuesRequest) GetSelectEntity() *DeleteFeatureValuesRequest_SelectEntity

func (*DeleteFeatureValuesRequest) GetSelectTimeRangeAndFeature

func (x *DeleteFeatureValuesRequest) GetSelectTimeRangeAndFeature() *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature

func (*DeleteFeatureValuesRequest) ProtoMessage

func (*DeleteFeatureValuesRequest) ProtoMessage()

func (*DeleteFeatureValuesRequest) ProtoReflect

func (x *DeleteFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesRequest) Reset

func (x *DeleteFeatureValuesRequest) Reset()

func (*DeleteFeatureValuesRequest) String

func (x *DeleteFeatureValuesRequest) String() string

DeleteFeatureValuesRequest_SelectEntity

type DeleteFeatureValuesRequest_SelectEntity struct {

	// Required. Selectors choosing feature values of which entity id to be
	// deleted from the EntityType.
	EntityIdSelector *EntityIdSelector `protobuf:"bytes,1,opt,name=entity_id_selector,json=entityIdSelector,proto3" json:"entity_id_selector,omitempty"`
	// contains filtered or unexported fields
}

Message to select entity. If an entity id is selected, all the feature values corresponding to the entity id will be deleted, including the entityId.

func (*DeleteFeatureValuesRequest_SelectEntity) Descriptor

func (*DeleteFeatureValuesRequest_SelectEntity) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesRequest_SelectEntity.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesRequest_SelectEntity) GetEntityIdSelector

func (x *DeleteFeatureValuesRequest_SelectEntity) GetEntityIdSelector() *EntityIdSelector

func (*DeleteFeatureValuesRequest_SelectEntity) ProtoMessage

func (*DeleteFeatureValuesRequest_SelectEntity) ProtoMessage()

func (*DeleteFeatureValuesRequest_SelectEntity) ProtoReflect

func (x *DeleteFeatureValuesRequest_SelectEntity) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesRequest_SelectEntity) Reset

func (x *DeleteFeatureValuesRequest_SelectEntity) Reset()

func (*DeleteFeatureValuesRequest_SelectEntity) String

func (x *DeleteFeatureValuesRequest_SelectEntity) String() string

DeleteFeatureValuesRequest_SelectEntity_

type DeleteFeatureValuesRequest_SelectEntity_ struct {
	// Select feature values to be deleted by specifying entities.
	SelectEntity *DeleteFeatureValuesRequest_SelectEntity `protobuf:"bytes,2,opt,name=select_entity,json=selectEntity,proto3,oneof"`
}

DeleteFeatureValuesRequest_SelectTimeRangeAndFeature

type DeleteFeatureValuesRequest_SelectTimeRangeAndFeature struct {
	TimeRange *interval.Interval `protobuf:"bytes,1,opt,name=time_range,json=timeRange,proto3" json:"time_range,omitempty"`

	FeatureSelector *FeatureSelector `protobuf:"bytes,2,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`

	SkipOnlineStorageDelete bool "" /* 135 byte string literal not displayed */

}

Message to select time range and feature. Values of the selected feature generated within an inclusive time range will be deleted. Using this option permanently deletes the feature values from the specified feature IDs within the specified time range. This might include data from the online storage. If you want to retain any deleted historical data in the online storage, you must re-ingest it.

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) Descriptor

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesRequest_SelectTimeRangeAndFeature.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetFeatureSelector

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetFeatureSelector() *FeatureSelector

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetSkipOnlineStorageDelete

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetSkipOnlineStorageDelete() bool

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetTimeRange

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) GetTimeRange() *interval.Interval

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) ProtoMessage

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) ProtoMessage()

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) ProtoReflect

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) Reset

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) Reset()

func (*DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) String

func (x *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature) String() string

DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_

type DeleteFeatureValuesRequest_SelectTimeRangeAndFeature_ struct {
	// Select feature values to be deleted by specifying time range and
	// features.
	SelectTimeRangeAndFeature *DeleteFeatureValuesRequest_SelectTimeRangeAndFeature `protobuf:"bytes,3,opt,name=select_time_range_and_feature,json=selectTimeRangeAndFeature,proto3,oneof"`
}

DeleteFeatureValuesResponse

type DeleteFeatureValuesResponse struct {

	// Response based on which delete option is specified in the
	// request
	//
	// Types that are assignable to Response:
	//	*DeleteFeatureValuesResponse_SelectEntity_
	//	*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_
	Response isDeleteFeatureValuesResponse_Response `protobuf_oneof:"response"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].

func (*DeleteFeatureValuesResponse) Descriptor

func (*DeleteFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesResponse) GetResponse

func (m *DeleteFeatureValuesResponse) GetResponse() isDeleteFeatureValuesResponse_Response

func (*DeleteFeatureValuesResponse) GetSelectEntity

func (x *DeleteFeatureValuesResponse) GetSelectEntity() *DeleteFeatureValuesResponse_SelectEntity

func (*DeleteFeatureValuesResponse) GetSelectTimeRangeAndFeature

func (x *DeleteFeatureValuesResponse) GetSelectTimeRangeAndFeature() *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature

func (*DeleteFeatureValuesResponse) ProtoMessage

func (*DeleteFeatureValuesResponse) ProtoMessage()

func (*DeleteFeatureValuesResponse) ProtoReflect

func (x *DeleteFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesResponse) Reset

func (x *DeleteFeatureValuesResponse) Reset()

func (*DeleteFeatureValuesResponse) String

func (x *DeleteFeatureValuesResponse) String() string

DeleteFeatureValuesResponse_SelectEntity

type DeleteFeatureValuesResponse_SelectEntity struct {
	OfflineStorageDeletedEntityRowCount int64 "" /* 175 byte string literal not displayed */

	OnlineStorageDeletedEntityCount int64 "" /* 161 byte string literal not displayed */

}

Response message if the request uses the SelectEntity option.

func (*DeleteFeatureValuesResponse_SelectEntity) Descriptor

func (*DeleteFeatureValuesResponse_SelectEntity) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesResponse_SelectEntity.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesResponse_SelectEntity) GetOfflineStorageDeletedEntityRowCount

func (x *DeleteFeatureValuesResponse_SelectEntity) GetOfflineStorageDeletedEntityRowCount() int64

func (*DeleteFeatureValuesResponse_SelectEntity) GetOnlineStorageDeletedEntityCount

func (x *DeleteFeatureValuesResponse_SelectEntity) GetOnlineStorageDeletedEntityCount() int64

func (*DeleteFeatureValuesResponse_SelectEntity) ProtoMessage

func (*DeleteFeatureValuesResponse_SelectEntity) ProtoMessage()

func (*DeleteFeatureValuesResponse_SelectEntity) ProtoReflect

func (x *DeleteFeatureValuesResponse_SelectEntity) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesResponse_SelectEntity) Reset

func (x *DeleteFeatureValuesResponse_SelectEntity) Reset()

func (*DeleteFeatureValuesResponse_SelectEntity) String

func (x *DeleteFeatureValuesResponse_SelectEntity) String() string

DeleteFeatureValuesResponse_SelectEntity_

type DeleteFeatureValuesResponse_SelectEntity_ struct {
	// Response for request specifying the entities to delete
	SelectEntity *DeleteFeatureValuesResponse_SelectEntity `protobuf:"bytes,1,opt,name=select_entity,json=selectEntity,proto3,oneof"`
}

DeleteFeatureValuesResponse_SelectTimeRangeAndFeature

type DeleteFeatureValuesResponse_SelectTimeRangeAndFeature struct {
	ImpactedFeatureCount int64 `protobuf:"varint,1,opt,name=impacted_feature_count,json=impactedFeatureCount,proto3" json:"impacted_feature_count,omitempty"`

	OfflineStorageModifiedEntityRowCount int64 "" /* 178 byte string literal not displayed */

	OnlineStorageModifiedEntityCount int64 "" /* 164 byte string literal not displayed */

}

Response message if the request uses the SelectTimeRangeAndFeature option.

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) Descriptor

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureValuesResponse_SelectTimeRangeAndFeature.ProtoReflect.Descriptor instead.

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetImpactedFeatureCount

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetImpactedFeatureCount() int64

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetOfflineStorageModifiedEntityRowCount

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetOfflineStorageModifiedEntityRowCount() int64

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetOnlineStorageModifiedEntityCount

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) GetOnlineStorageModifiedEntityCount() int64

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) ProtoMessage

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) ProtoMessage()

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) ProtoReflect

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) ProtoReflect() protoreflect.Message

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) Reset

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) Reset()

func (*DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) String

func (x *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature) String() string

DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_

type DeleteFeatureValuesResponse_SelectTimeRangeAndFeature_ struct {
	// Response for request specifying time range and feature
	SelectTimeRangeAndFeature *DeleteFeatureValuesResponse_SelectTimeRangeAndFeature `protobuf:"bytes,2,opt,name=select_time_range_and_feature,json=selectTimeRangeAndFeature,proto3,oneof"`
}

DeleteFeaturestoreRequest

type DeleteFeaturestoreRequest struct {

	// Required. The name of the Featurestore to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any EntityTypes and Features for this Featurestore will
	// also be deleted. (Otherwise, the request will only work if the Featurestore
	// has no EntityTypes.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].

func (*DeleteFeaturestoreRequest) Descriptor

func (*DeleteFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeaturestoreRequest) GetForce

func (x *DeleteFeaturestoreRequest) GetForce() bool

func (*DeleteFeaturestoreRequest) GetName

func (x *DeleteFeaturestoreRequest) GetName() string

func (*DeleteFeaturestoreRequest) ProtoMessage

func (*DeleteFeaturestoreRequest) ProtoMessage()

func (*DeleteFeaturestoreRequest) ProtoReflect

func (x *DeleteFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeaturestoreRequest) Reset

func (x *DeleteFeaturestoreRequest) Reset()

func (*DeleteFeaturestoreRequest) String

func (x *DeleteFeaturestoreRequest) String() string

DeleteHyperparameterTuningJobRequest

type DeleteHyperparameterTuningJobRequest struct {

	// Required. The name of the HyperparameterTuningJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].

func (*DeleteHyperparameterTuningJobRequest) Descriptor

func (*DeleteHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteHyperparameterTuningJobRequest) GetName

func (x *DeleteHyperparameterTuningJobRequest) GetName() string

func (*DeleteHyperparameterTuningJobRequest) ProtoMessage

func (*DeleteHyperparameterTuningJobRequest) ProtoMessage()

func (*DeleteHyperparameterTuningJobRequest) ProtoReflect

func (x *DeleteHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteHyperparameterTuningJobRequest) Reset

func (x *DeleteHyperparameterTuningJobRequest) Reset()

func (*DeleteHyperparameterTuningJobRequest) String

func (x *DeleteHyperparameterTuningJobRequest) String() string

DeleteIndexEndpointRequest

type DeleteIndexEndpointRequest struct {

	// Required. The name of the IndexEndpoint resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].

func (*DeleteIndexEndpointRequest) Descriptor

func (*DeleteIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*DeleteIndexEndpointRequest) GetName

func (x *DeleteIndexEndpointRequest) GetName() string

func (*DeleteIndexEndpointRequest) ProtoMessage

func (*DeleteIndexEndpointRequest) ProtoMessage()

func (*DeleteIndexEndpointRequest) ProtoReflect

func (x *DeleteIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*DeleteIndexEndpointRequest) Reset

func (x *DeleteIndexEndpointRequest) Reset()

func (*DeleteIndexEndpointRequest) String

func (x *DeleteIndexEndpointRequest) String() string

DeleteIndexRequest

type DeleteIndexRequest struct {

	// Required. The name of the Index resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].

func (*DeleteIndexRequest) Descriptor

func (*DeleteIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteIndexRequest.ProtoReflect.Descriptor instead.

func (*DeleteIndexRequest) GetName

func (x *DeleteIndexRequest) GetName() string

func (*DeleteIndexRequest) ProtoMessage

func (*DeleteIndexRequest) ProtoMessage()

func (*DeleteIndexRequest) ProtoReflect

func (x *DeleteIndexRequest) ProtoReflect() protoreflect.Message

func (*DeleteIndexRequest) Reset

func (x *DeleteIndexRequest) Reset()

func (*DeleteIndexRequest) String

func (x *DeleteIndexRequest) String() string

DeleteMetadataStoreOperationMetadata

type DeleteMetadataStoreOperationMetadata struct {

	// Operation metadata for deleting a MetadataStore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].

func (*DeleteMetadataStoreOperationMetadata) Descriptor

func (*DeleteMetadataStoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeleteMetadataStoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeleteMetadataStoreOperationMetadata) GetGenericMetadata

func (x *DeleteMetadataStoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeleteMetadataStoreOperationMetadata) ProtoMessage

func (*DeleteMetadataStoreOperationMetadata) ProtoMessage()

func (*DeleteMetadataStoreOperationMetadata) ProtoReflect

func (x *DeleteMetadataStoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeleteMetadataStoreOperationMetadata) Reset

func (x *DeleteMetadataStoreOperationMetadata) Reset()

func (*DeleteMetadataStoreOperationMetadata) String

func (x *DeleteMetadataStoreOperationMetadata) String() string

DeleteMetadataStoreRequest

type DeleteMetadataStoreRequest struct {

	// Required. The resource name of the MetadataStore to delete.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Deprecated: Field is no longer supported.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/metadata_service.proto.
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].

func (*DeleteMetadataStoreRequest) Descriptor

func (*DeleteMetadataStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteMetadataStoreRequest.ProtoReflect.Descriptor instead.

func (*DeleteMetadataStoreRequest) GetForce

func (x *DeleteMetadataStoreRequest) GetForce() bool

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/metadata_service.proto.

func (*DeleteMetadataStoreRequest) GetName

func (x *DeleteMetadataStoreRequest) GetName() string

func (*DeleteMetadataStoreRequest) ProtoMessage

func (*DeleteMetadataStoreRequest) ProtoMessage()

func (*DeleteMetadataStoreRequest) ProtoReflect

func (x *DeleteMetadataStoreRequest) ProtoReflect() protoreflect.Message

func (*DeleteMetadataStoreRequest) Reset

func (x *DeleteMetadataStoreRequest) Reset()

func (*DeleteMetadataStoreRequest) String

func (x *DeleteMetadataStoreRequest) String() string

DeleteModelDeploymentMonitoringJobRequest

type DeleteModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the model monitoring job to delete.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob].

func (*DeleteModelDeploymentMonitoringJobRequest) Descriptor

func (*DeleteModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteModelDeploymentMonitoringJobRequest) GetName

func (x *DeleteModelDeploymentMonitoringJobRequest) GetName() string

func (*DeleteModelDeploymentMonitoringJobRequest) ProtoMessage

func (*DeleteModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*DeleteModelDeploymentMonitoringJobRequest) ProtoReflect

func (x *DeleteModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteModelDeploymentMonitoringJobRequest) Reset

func (x *DeleteModelDeploymentMonitoringJobRequest) Reset()

func (*DeleteModelDeploymentMonitoringJobRequest) String

func (x *DeleteModelDeploymentMonitoringJobRequest) String() string

DeleteModelRequest

type DeleteModelRequest struct {

	// Required. The name of the Model resource to be deleted.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].

func (*DeleteModelRequest) Descriptor

func (*DeleteModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteModelRequest.ProtoReflect.Descriptor instead.

func (*DeleteModelRequest) GetName

func (x *DeleteModelRequest) GetName() string

func (*DeleteModelRequest) ProtoMessage

func (*DeleteModelRequest) ProtoMessage()

func (*DeleteModelRequest) ProtoReflect

func (x *DeleteModelRequest) ProtoReflect() protoreflect.Message

func (*DeleteModelRequest) Reset

func (x *DeleteModelRequest) Reset()

func (*DeleteModelRequest) String

func (x *DeleteModelRequest) String() string

DeleteModelVersionRequest

type DeleteModelVersionRequest struct {

	// Required. The name of the model version to be deleted, with a version ID
	// explicitly included.
	//
	// Example: `projects/{project}/locations/{location}/models/{model}@1234`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].

func (*DeleteModelVersionRequest) Descriptor

func (*DeleteModelVersionRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteModelVersionRequest.ProtoReflect.Descriptor instead.

func (*DeleteModelVersionRequest) GetName

func (x *DeleteModelVersionRequest) GetName() string

func (*DeleteModelVersionRequest) ProtoMessage

func (*DeleteModelVersionRequest) ProtoMessage()

func (*DeleteModelVersionRequest) ProtoReflect

func (x *DeleteModelVersionRequest) ProtoReflect() protoreflect.Message

func (*DeleteModelVersionRequest) Reset

func (x *DeleteModelVersionRequest) Reset()

func (*DeleteModelVersionRequest) String

func (x *DeleteModelVersionRequest) String() string

DeleteNasJobRequest

type DeleteNasJobRequest struct {

	// Required. The name of the NasJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteNasJob][google.cloud.aiplatform.v1.JobService.DeleteNasJob].

func (*DeleteNasJobRequest) Descriptor

func (*DeleteNasJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteNasJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteNasJobRequest) GetName

func (x *DeleteNasJobRequest) GetName() string

func (*DeleteNasJobRequest) ProtoMessage

func (*DeleteNasJobRequest) ProtoMessage()

func (*DeleteNasJobRequest) ProtoReflect

func (x *DeleteNasJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteNasJobRequest) Reset

func (x *DeleteNasJobRequest) Reset()

func (*DeleteNasJobRequest) String

func (x *DeleteNasJobRequest) String() string

DeleteOperationMetadata

type DeleteOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform deletes of any entities.

func (*DeleteOperationMetadata) Descriptor

func (*DeleteOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeleteOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeleteOperationMetadata) GetGenericMetadata

func (x *DeleteOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeleteOperationMetadata) ProtoMessage

func (*DeleteOperationMetadata) ProtoMessage()

func (*DeleteOperationMetadata) ProtoReflect

func (x *DeleteOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeleteOperationMetadata) Reset

func (x *DeleteOperationMetadata) Reset()

func (*DeleteOperationMetadata) String

func (x *DeleteOperationMetadata) String() string

DeletePipelineJobRequest

type DeletePipelineJobRequest struct {

	// Required. The name of the PipelineJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].

func (*DeletePipelineJobRequest) Descriptor

func (*DeletePipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeletePipelineJobRequest.ProtoReflect.Descriptor instead.

func (*DeletePipelineJobRequest) GetName

func (x *DeletePipelineJobRequest) GetName() string

func (*DeletePipelineJobRequest) ProtoMessage

func (*DeletePipelineJobRequest) ProtoMessage()

func (*DeletePipelineJobRequest) ProtoReflect

func (x *DeletePipelineJobRequest) ProtoReflect() protoreflect.Message

func (*DeletePipelineJobRequest) Reset

func (x *DeletePipelineJobRequest) Reset()

func (*DeletePipelineJobRequest) String

func (x *DeletePipelineJobRequest) String() string

DeleteSpecialistPoolRequest

type DeleteSpecialistPoolRequest struct {

	// Required. The resource name of the SpecialistPool to delete. Format:
	// `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any specialist managers in this SpecialistPool will also be
	// deleted. (Otherwise, the request will only work if the SpecialistPool has
	// no specialist managers.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].

func (*DeleteSpecialistPoolRequest) Descriptor

func (*DeleteSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*DeleteSpecialistPoolRequest) GetForce

func (x *DeleteSpecialistPoolRequest) GetForce() bool

func (*DeleteSpecialistPoolRequest) GetName

func (x *DeleteSpecialistPoolRequest) GetName() string

func (*DeleteSpecialistPoolRequest) ProtoMessage

func (*DeleteSpecialistPoolRequest) ProtoMessage()

func (*DeleteSpecialistPoolRequest) ProtoReflect

func (x *DeleteSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*DeleteSpecialistPoolRequest) Reset

func (x *DeleteSpecialistPoolRequest) Reset()

func (*DeleteSpecialistPoolRequest) String

func (x *DeleteSpecialistPoolRequest) String() string

DeleteStudyRequest

type DeleteStudyRequest struct {

	// Required. The name of the Study resource to be deleted.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].

func (*DeleteStudyRequest) Descriptor

func (*DeleteStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteStudyRequest.ProtoReflect.Descriptor instead.

func (*DeleteStudyRequest) GetName

func (x *DeleteStudyRequest) GetName() string

func (*DeleteStudyRequest) ProtoMessage

func (*DeleteStudyRequest) ProtoMessage()

func (*DeleteStudyRequest) ProtoReflect

func (x *DeleteStudyRequest) ProtoReflect() protoreflect.Message

func (*DeleteStudyRequest) Reset

func (x *DeleteStudyRequest) Reset()

func (*DeleteStudyRequest) String

func (x *DeleteStudyRequest) String() string

DeleteTensorboardExperimentRequest

type DeleteTensorboardExperimentRequest struct {

	// Required. The name of the TensorboardExperiment to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].

func (*DeleteTensorboardExperimentRequest) Descriptor

func (*DeleteTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardExperimentRequest) GetName

func (x *DeleteTensorboardExperimentRequest) GetName() string

func (*DeleteTensorboardExperimentRequest) ProtoMessage

func (*DeleteTensorboardExperimentRequest) ProtoMessage()

func (*DeleteTensorboardExperimentRequest) ProtoReflect

func (x *DeleteTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardExperimentRequest) Reset

func (x *DeleteTensorboardExperimentRequest) Reset()

func (*DeleteTensorboardExperimentRequest) String

func (x *DeleteTensorboardExperimentRequest) String() string

DeleteTensorboardRequest

type DeleteTensorboardRequest struct {

	// Required. The name of the Tensorboard to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].

func (*DeleteTensorboardRequest) Descriptor

func (*DeleteTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardRequest) GetName

func (x *DeleteTensorboardRequest) GetName() string

func (*DeleteTensorboardRequest) ProtoMessage

func (*DeleteTensorboardRequest) ProtoMessage()

func (*DeleteTensorboardRequest) ProtoReflect

func (x *DeleteTensorboardRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardRequest) Reset

func (x *DeleteTensorboardRequest) Reset()

func (*DeleteTensorboardRequest) String

func (x *DeleteTensorboardRequest) String() string

DeleteTensorboardRunRequest

type DeleteTensorboardRunRequest struct {

	// Required. The name of the TensorboardRun to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].

func (*DeleteTensorboardRunRequest) Descriptor

func (*DeleteTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardRunRequest) GetName

func (x *DeleteTensorboardRunRequest) GetName() string

func (*DeleteTensorboardRunRequest) ProtoMessage

func (*DeleteTensorboardRunRequest) ProtoMessage()

func (*DeleteTensorboardRunRequest) ProtoReflect

func (x *DeleteTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardRunRequest) Reset

func (x *DeleteTensorboardRunRequest) Reset()

func (*DeleteTensorboardRunRequest) String

func (x *DeleteTensorboardRunRequest) String() string

DeleteTensorboardTimeSeriesRequest

type DeleteTensorboardTimeSeriesRequest struct {

	// Required. The name of the TensorboardTimeSeries to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].

func (*DeleteTensorboardTimeSeriesRequest) Descriptor

func (*DeleteTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardTimeSeriesRequest) GetName

func (x *DeleteTensorboardTimeSeriesRequest) GetName() string

func (*DeleteTensorboardTimeSeriesRequest) ProtoMessage

func (*DeleteTensorboardTimeSeriesRequest) ProtoMessage()

func (*DeleteTensorboardTimeSeriesRequest) ProtoReflect

func (x *DeleteTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardTimeSeriesRequest) Reset

func (x *DeleteTensorboardTimeSeriesRequest) Reset()

func (*DeleteTensorboardTimeSeriesRequest) String

func (x *DeleteTensorboardTimeSeriesRequest) String() string

DeleteTrainingPipelineRequest

type DeleteTrainingPipelineRequest struct {

	// Required. The name of the TrainingPipeline resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].

func (*DeleteTrainingPipelineRequest) Descriptor

func (*DeleteTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*DeleteTrainingPipelineRequest) GetName

func (x *DeleteTrainingPipelineRequest) GetName() string

func (*DeleteTrainingPipelineRequest) ProtoMessage

func (*DeleteTrainingPipelineRequest) ProtoMessage()

func (*DeleteTrainingPipelineRequest) ProtoReflect

func (x *DeleteTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*DeleteTrainingPipelineRequest) Reset

func (x *DeleteTrainingPipelineRequest) Reset()

func (*DeleteTrainingPipelineRequest) String

func (x *DeleteTrainingPipelineRequest) String() string

DeleteTrialRequest

type DeleteTrialRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].

func (*DeleteTrialRequest) Descriptor

func (*DeleteTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTrialRequest.ProtoReflect.Descriptor instead.

func (*DeleteTrialRequest) GetName

func (x *DeleteTrialRequest) GetName() string

func (*DeleteTrialRequest) ProtoMessage

func (*DeleteTrialRequest) ProtoMessage()

func (*DeleteTrialRequest) ProtoReflect

func (x *DeleteTrialRequest) ProtoReflect() protoreflect.Message

func (*DeleteTrialRequest) Reset

func (x *DeleteTrialRequest) Reset()

func (*DeleteTrialRequest) String

func (x *DeleteTrialRequest) String() string

DeployIndexOperationMetadata

type DeployIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The unique index id specified by user
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].

func (*DeployIndexOperationMetadata) Descriptor

func (*DeployIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeployIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeployIndexOperationMetadata) GetDeployedIndexId

func (x *DeployIndexOperationMetadata) GetDeployedIndexId() string

func (*DeployIndexOperationMetadata) GetGenericMetadata

func (x *DeployIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeployIndexOperationMetadata) ProtoMessage

func (*DeployIndexOperationMetadata) ProtoMessage()

func (*DeployIndexOperationMetadata) ProtoReflect

func (x *DeployIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeployIndexOperationMetadata) Reset

func (x *DeployIndexOperationMetadata) Reset()

func (*DeployIndexOperationMetadata) String

func (x *DeployIndexOperationMetadata) String() string

DeployIndexRequest

type DeployIndexRequest struct {

	// Required. The name of the IndexEndpoint resource into which to deploy an
	// Index. Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The DeployedIndex to be created within the IndexEndpoint.
	DeployedIndex *DeployedIndex `protobuf:"bytes,2,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].

func (*DeployIndexRequest) Descriptor

func (*DeployIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeployIndexRequest.ProtoReflect.Descriptor instead.

func (*DeployIndexRequest) GetDeployedIndex

func (x *DeployIndexRequest) GetDeployedIndex() *DeployedIndex

func (*DeployIndexRequest) GetIndexEndpoint

func (x *DeployIndexRequest) GetIndexEndpoint() string

func (*DeployIndexRequest) ProtoMessage

func (*DeployIndexRequest) ProtoMessage()

func (*DeployIndexRequest) ProtoReflect

func (x *DeployIndexRequest) ProtoReflect() protoreflect.Message

func (*DeployIndexRequest) Reset

func (x *DeployIndexRequest) Reset()

func (*DeployIndexRequest) String

func (x *DeployIndexRequest) String() string

DeployIndexResponse

type DeployIndexResponse struct {

	// The DeployedIndex that had been deployed in the IndexEndpoint.
	DeployedIndex *DeployedIndex `protobuf:"bytes,1,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].

func (*DeployIndexResponse) Descriptor

func (*DeployIndexResponse) Descriptor() ([]byte, []int)

Deprecated: Use DeployIndexResponse.ProtoReflect.Descriptor instead.

func (*DeployIndexResponse) GetDeployedIndex

func (x *DeployIndexResponse) GetDeployedIndex() *DeployedIndex

func (*DeployIndexResponse) ProtoMessage

func (*DeployIndexResponse) ProtoMessage()

func (*DeployIndexResponse) ProtoReflect

func (x *DeployIndexResponse) ProtoReflect() protoreflect.Message

func (*DeployIndexResponse) Reset

func (x *DeployIndexResponse) Reset()

func (*DeployIndexResponse) String

func (x *DeployIndexResponse) String() string

DeployModelOperationMetadata

type DeployModelOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].

func (*DeployModelOperationMetadata) Descriptor

func (*DeployModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeployModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeployModelOperationMetadata) GetGenericMetadata

func (x *DeployModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeployModelOperationMetadata) ProtoMessage

func (*DeployModelOperationMetadata) ProtoMessage()

func (*DeployModelOperationMetadata) ProtoReflect

func (x *DeployModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeployModelOperationMetadata) Reset

func (x *DeployModelOperationMetadata) Reset()

func (*DeployModelOperationMetadata) String

func (x *DeployModelOperationMetadata) String() string

DeployModelRequest

type DeployModelRequest struct {
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`

	DeployedModel *DeployedModel `protobuf:"bytes,2,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`

	TrafficSplit map[string]int32 "" /* 186 byte string literal not displayed */

}

Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].

func (*DeployModelRequest) Descriptor

func (*DeployModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeployModelRequest.ProtoReflect.Descriptor instead.

func (*DeployModelRequest) GetDeployedModel

func (x *DeployModelRequest) GetDeployedModel() *DeployedModel

func (*DeployModelRequest) GetEndpoint

func (x *DeployModelRequest) GetEndpoint() string

func (*DeployModelRequest) GetTrafficSplit

func (x *DeployModelRequest) GetTrafficSplit() map[string]int32

func (*DeployModelRequest) ProtoMessage

func (*DeployModelRequest) ProtoMessage()

func (*DeployModelRequest) ProtoReflect

func (x *DeployModelRequest) ProtoReflect() protoreflect.Message

func (*DeployModelRequest) Reset

func (x *DeployModelRequest) Reset()

func (*DeployModelRequest) String

func (x *DeployModelRequest) String() string

DeployModelResponse

type DeployModelResponse struct {

	// The DeployedModel that had been deployed in the Endpoint.
	DeployedModel *DeployedModel `protobuf:"bytes,1,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// contains filtered or unexported fields
}

Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].

func (*DeployModelResponse) Descriptor

func (*DeployModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use DeployModelResponse.ProtoReflect.Descriptor instead.

func (*DeployModelResponse) GetDeployedModel

func (x *DeployModelResponse) GetDeployedModel() *DeployedModel

func (*DeployModelResponse) ProtoMessage

func (*DeployModelResponse) ProtoMessage()

func (*DeployModelResponse) ProtoReflect

func (x *DeployModelResponse) ProtoReflect() protoreflect.Message

func (*DeployModelResponse) Reset

func (x *DeployModelResponse) Reset()

func (*DeployModelResponse) String

func (x *DeployModelResponse) String() string

DeployedIndex

type DeployedIndex struct {
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`

	Index string `protobuf:"bytes,2,opt,name=index,proto3" json:"index,omitempty"`

	DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	PrivateEndpoints *IndexPrivateEndpoints `protobuf:"bytes,5,opt,name=private_endpoints,json=privateEndpoints,proto3" json:"private_endpoints,omitempty"`

	IndexSyncTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=index_sync_time,json=indexSyncTime,proto3" json:"index_sync_time,omitempty"`

	AutomaticResources *AutomaticResources `protobuf:"bytes,7,opt,name=automatic_resources,json=automaticResources,proto3" json:"automatic_resources,omitempty"`

	DedicatedResources *DedicatedResources `protobuf:"bytes,16,opt,name=dedicated_resources,json=dedicatedResources,proto3" json:"dedicated_resources,omitempty"`

	EnableAccessLogging bool `protobuf:"varint,8,opt,name=enable_access_logging,json=enableAccessLogging,proto3" json:"enable_access_logging,omitempty"`

	DeployedIndexAuthConfig *DeployedIndexAuthConfig "" /* 134 byte string literal not displayed */

	ReservedIpRanges []string `protobuf:"bytes,10,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"`

	DeploymentGroup string `protobuf:"bytes,11,opt,name=deployment_group,json=deploymentGroup,proto3" json:"deployment_group,omitempty"`

}

A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.

func (*DeployedIndex) Descriptor

func (*DeployedIndex) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndex.ProtoReflect.Descriptor instead.

func (*DeployedIndex) GetAutomaticResources

func (x *DeployedIndex) GetAutomaticResources() *AutomaticResources

func (*DeployedIndex) GetCreateTime

func (x *DeployedIndex) GetCreateTime() *timestamppb.Timestamp

func (*DeployedIndex) GetDedicatedResources

func (x *DeployedIndex) GetDedicatedResources() *DedicatedResources

func (*DeployedIndex) GetDeployedIndexAuthConfig

func (x *DeployedIndex) GetDeployedIndexAuthConfig() *DeployedIndexAuthConfig

func (*DeployedIndex) GetDeploymentGroup

func (x *DeployedIndex) GetDeploymentGroup() string

func (*DeployedIndex) GetDisplayName

func (x *DeployedIndex) GetDisplayName() string

func (*DeployedIndex) GetEnableAccessLogging

func (x *DeployedIndex) GetEnableAccessLogging() bool

func (*DeployedIndex) GetId

func (x *DeployedIndex) GetId() string

func (*DeployedIndex) GetIndex

func (x *DeployedIndex) GetIndex() string

func (*DeployedIndex) GetIndexSyncTime

func (x *DeployedIndex) GetIndexSyncTime() *timestamppb.Timestamp

func (*DeployedIndex) GetPrivateEndpoints

func (x *DeployedIndex) GetPrivateEndpoints() *IndexPrivateEndpoints

func (*DeployedIndex) GetReservedIpRanges

func (x *DeployedIndex) GetReservedIpRanges() []string

func (*DeployedIndex) ProtoMessage

func (*DeployedIndex) ProtoMessage()

func (*DeployedIndex) ProtoReflect

func (x *DeployedIndex) ProtoReflect() protoreflect.Message

func (*DeployedIndex) Reset

func (x *DeployedIndex) Reset()

func (*DeployedIndex) String

func (x *DeployedIndex) String() string

DeployedIndexAuthConfig

type DeployedIndexAuthConfig struct {

	// Defines the authentication provider that the DeployedIndex uses.
	AuthProvider *DeployedIndexAuthConfig_AuthProvider `protobuf:"bytes,1,opt,name=auth_provider,json=authProvider,proto3" json:"auth_provider,omitempty"`
	// contains filtered or unexported fields
}

Used to set up the auth on the DeployedIndex's private endpoint.

func (*DeployedIndexAuthConfig) Descriptor

func (*DeployedIndexAuthConfig) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndexAuthConfig.ProtoReflect.Descriptor instead.

func (*DeployedIndexAuthConfig) GetAuthProvider

func (x *DeployedIndexAuthConfig) GetAuthProvider() *DeployedIndexAuthConfig_AuthProvider

func (*DeployedIndexAuthConfig) ProtoMessage

func (*DeployedIndexAuthConfig) ProtoMessage()

func (*DeployedIndexAuthConfig) ProtoReflect

func (x *DeployedIndexAuthConfig) ProtoReflect() protoreflect.Message

func (*DeployedIndexAuthConfig) Reset

func (x *DeployedIndexAuthConfig) Reset()

func (*DeployedIndexAuthConfig) String

func (x *DeployedIndexAuthConfig) String() string

DeployedIndexAuthConfig_AuthProvider

type DeployedIndexAuthConfig_AuthProvider struct {

	// The list of JWT
	// [audiences](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32#section-4.1.3).
	// that are allowed to access. A JWT containing any of these audiences will
	// be accepted.
	Audiences []string `protobuf:"bytes,1,rep,name=audiences,proto3" json:"audiences,omitempty"`
	// A list of allowed JWT issuers. Each entry must be a valid Google
	// service account, in the following format:
	//
	// `[e-mail]`
	AllowedIssuers []string `protobuf:"bytes,2,rep,name=allowed_issuers,json=allowedIssuers,proto3" json:"allowed_issuers,omitempty"`
	// contains filtered or unexported fields
}

Configuration for an authentication provider, including support for JSON Web Token (JWT).

func (*DeployedIndexAuthConfig_AuthProvider) Descriptor

func (*DeployedIndexAuthConfig_AuthProvider) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndexAuthConfig_AuthProvider.ProtoReflect.Descriptor instead.

func (*DeployedIndexAuthConfig_AuthProvider) GetAllowedIssuers

func (x *DeployedIndexAuthConfig_AuthProvider) GetAllowedIssuers() []string

func (*DeployedIndexAuthConfig_AuthProvider) GetAudiences

func (x *DeployedIndexAuthConfig_AuthProvider) GetAudiences() []string

func (*DeployedIndexAuthConfig_AuthProvider) ProtoMessage

func (*DeployedIndexAuthConfig_AuthProvider) ProtoMessage()

func (*DeployedIndexAuthConfig_AuthProvider) ProtoReflect

func (x *DeployedIndexAuthConfig_AuthProvider) ProtoReflect() protoreflect.Message

func (*DeployedIndexAuthConfig_AuthProvider) Reset

func (x *DeployedIndexAuthConfig_AuthProvider) Reset()

func (*DeployedIndexAuthConfig_AuthProvider) String

func (x *DeployedIndexAuthConfig_AuthProvider) String() string

DeployedIndexRef

type DeployedIndexRef struct {

	// Immutable. A resource name of the IndexEndpoint.
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Immutable. The ID of the DeployedIndex in the above IndexEndpoint.
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// contains filtered or unexported fields
}

Points to a DeployedIndex.

func (*DeployedIndexRef) Descriptor

func (*DeployedIndexRef) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndexRef.ProtoReflect.Descriptor instead.

func (*DeployedIndexRef) GetDeployedIndexId

func (x *DeployedIndexRef) GetDeployedIndexId() string

func (*DeployedIndexRef) GetIndexEndpoint

func (x *DeployedIndexRef) GetIndexEndpoint() string

func (*DeployedIndexRef) ProtoMessage

func (*DeployedIndexRef) ProtoMessage()

func (*DeployedIndexRef) ProtoReflect

func (x *DeployedIndexRef) ProtoReflect() protoreflect.Message

func (*DeployedIndexRef) Reset

func (x *DeployedIndexRef) Reset()

func (*DeployedIndexRef) String

func (x *DeployedIndexRef) String() string

DeployedModel

type DeployedModel struct {
	PredictionResources isDeployedModel_PredictionResources `protobuf_oneof:"prediction_resources"`

	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`

	Model string `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`

	ModelVersionId string `protobuf:"bytes,18,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`

	DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	ExplanationSpec *ExplanationSpec `protobuf:"bytes,9,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`

	ServiceAccount string `protobuf:"bytes,11,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`

	DisableContainerLogging bool "" /* 134 byte string literal not displayed */

	EnableAccessLogging bool `protobuf:"varint,13,opt,name=enable_access_logging,json=enableAccessLogging,proto3" json:"enable_access_logging,omitempty"`

	PrivateEndpoints *PrivateEndpoints `protobuf:"bytes,14,opt,name=private_endpoints,json=privateEndpoints,proto3" json:"private_endpoints,omitempty"`

}

A deployment of a Model. Endpoints contain one or more DeployedModels.

func (*DeployedModel) Descriptor

func (*DeployedModel) Descriptor() ([]byte, []int)

Deprecated: Use DeployedModel.ProtoReflect.Descriptor instead.

func (*DeployedModel) GetAutomaticResources

func (x *DeployedModel) GetAutomaticResources() *AutomaticResources

func (*DeployedModel) GetCreateTime

func (x *DeployedModel) GetCreateTime() *timestamppb.Timestamp

func (*DeployedModel) GetDedicatedResources

func (x *DeployedModel) GetDedicatedResources() *DedicatedResources

func (*DeployedModel) GetDisableContainerLogging

func (x *DeployedModel) GetDisableContainerLogging() bool

func (*DeployedModel) GetDisplayName

func (x *DeployedModel) GetDisplayName() string

func (*DeployedModel) GetEnableAccessLogging

func (x *DeployedModel) GetEnableAccessLogging() bool

func (*DeployedModel) GetExplanationSpec

func (x *DeployedModel) GetExplanationSpec() *ExplanationSpec

func (*DeployedModel) GetId

func (x *DeployedModel) GetId() string

func (*DeployedModel) GetModel

func (x *DeployedModel) GetModel() string

func (*DeployedModel) GetModelVersionId

func (x *DeployedModel) GetModelVersionId() string

func (*DeployedModel) GetPredictionResources

func (m *DeployedModel) GetPredictionResources() isDeployedModel_PredictionResources

func (*DeployedModel) GetPrivateEndpoints

func (x *DeployedModel) GetPrivateEndpoints() *PrivateEndpoints

func (*DeployedModel) GetServiceAccount

func (x *DeployedModel) GetServiceAccount() string

func (*DeployedModel) ProtoMessage

func (*DeployedModel) ProtoMessage()

func (*DeployedModel) ProtoReflect

func (x *DeployedModel) ProtoReflect() protoreflect.Message

func (*DeployedModel) Reset

func (x *DeployedModel) Reset()

func (*DeployedModel) String

func (x *DeployedModel) String() string

DeployedModelRef

type DeployedModelRef struct {

	// Immutable. A resource name of an Endpoint.
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Immutable. An ID of a DeployedModel in the above Endpoint.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// contains filtered or unexported fields
}

Points to a DeployedModel.

func (*DeployedModelRef) Descriptor

func (*DeployedModelRef) Descriptor() ([]byte, []int)

Deprecated: Use DeployedModelRef.ProtoReflect.Descriptor instead.

func (*DeployedModelRef) GetDeployedModelId

func (x *DeployedModelRef) GetDeployedModelId() string

func (*DeployedModelRef) GetEndpoint

func (x *DeployedModelRef) GetEndpoint() string

func (*DeployedModelRef) ProtoMessage

func (*DeployedModelRef) ProtoMessage()

func (*DeployedModelRef) ProtoReflect

func (x *DeployedModelRef) ProtoReflect() protoreflect.Message

func (*DeployedModelRef) Reset

func (x *DeployedModelRef) Reset()

func (*DeployedModelRef) String

func (x *DeployedModelRef) String() string

DeployedModel_AutomaticResources

type DeployedModel_AutomaticResources struct {
	// A description of resources that to large degree are decided by Vertex
	// AI, and require only a modest additional configuration.
	AutomaticResources *AutomaticResources `protobuf:"bytes,8,opt,name=automatic_resources,json=automaticResources,proto3,oneof"`
}

DeployedModel_DedicatedResources

type DeployedModel_DedicatedResources struct {
	// A description of resources that are dedicated to the DeployedModel, and
	// that need a higher degree of manual configuration.
	DedicatedResources *DedicatedResources `protobuf:"bytes,7,opt,name=dedicated_resources,json=dedicatedResources,proto3,oneof"`
}

DestinationFeatureSetting

type DestinationFeatureSetting struct {

	// Required. The ID of the Feature to apply the setting to.
	FeatureId string `protobuf:"bytes,1,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
	// Specify the field name in the export destination. If not specified,
	// Feature ID is used.
	DestinationField string `protobuf:"bytes,2,opt,name=destination_field,json=destinationField,proto3" json:"destination_field,omitempty"`
	// contains filtered or unexported fields
}

func (*DestinationFeatureSetting) Descriptor

func (*DestinationFeatureSetting) Descriptor() ([]byte, []int)

Deprecated: Use DestinationFeatureSetting.ProtoReflect.Descriptor instead.

func (*DestinationFeatureSetting) GetDestinationField

func (x *DestinationFeatureSetting) GetDestinationField() string

func (*DestinationFeatureSetting) GetFeatureId

func (x *DestinationFeatureSetting) GetFeatureId() string

func (*DestinationFeatureSetting) ProtoMessage

func (*DestinationFeatureSetting) ProtoMessage()

func (*DestinationFeatureSetting) ProtoReflect

func (x *DestinationFeatureSetting) ProtoReflect() protoreflect.Message

func (*DestinationFeatureSetting) Reset

func (x *DestinationFeatureSetting) Reset()

func (*DestinationFeatureSetting) String

func (x *DestinationFeatureSetting) String() string

DiskSpec

type DiskSpec struct {

	// Type of the boot disk (default is "pd-ssd").
	// Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
	// "pd-standard" (Persistent Disk Hard Disk Drive).
	BootDiskType string `protobuf:"bytes,1,opt,name=boot_disk_type,json=bootDiskType,proto3" json:"boot_disk_type,omitempty"`
	// Size in GB of the boot disk (default is 100GB).
	BootDiskSizeGb int32 `protobuf:"varint,2,opt,name=boot_disk_size_gb,json=bootDiskSizeGb,proto3" json:"boot_disk_size_gb,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of disk options.

func (*DiskSpec) Descriptor

func (*DiskSpec) Descriptor() ([]byte, []int)

Deprecated: Use DiskSpec.ProtoReflect.Descriptor instead.

func (*DiskSpec) GetBootDiskSizeGb

func (x *DiskSpec) GetBootDiskSizeGb() int32

func (*DiskSpec) GetBootDiskType

func (x *DiskSpec) GetBootDiskType() string

func (*DiskSpec) ProtoMessage

func (*DiskSpec) ProtoMessage()

func (*DiskSpec) ProtoReflect

func (x *DiskSpec) ProtoReflect() protoreflect.Message

func (*DiskSpec) Reset

func (x *DiskSpec) Reset()

func (*DiskSpec) String

func (x *DiskSpec) String() string

DoubleArray

type DoubleArray struct {

	// A list of double values.
	Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of double values.

func (*DoubleArray) Descriptor

func (*DoubleArray) Descriptor() ([]byte, []int)

Deprecated: Use DoubleArray.ProtoReflect.Descriptor instead.

func (*DoubleArray) GetValues

func (x *DoubleArray) GetValues() []float64

func (*DoubleArray) ProtoMessage

func (*DoubleArray) ProtoMessage()

func (*DoubleArray) ProtoReflect

func (x *DoubleArray) ProtoReflect() protoreflect.Message

func (*DoubleArray) Reset

func (x *DoubleArray) Reset()

func (*DoubleArray) String

func (x *DoubleArray) String() string

EncryptionSpec

type EncryptionSpec struct {

	// Required. The Cloud KMS resource identifier of the customer managed
	// encryption key used to protect a resource. Has the form:
	// `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
	// The key needs to be in the same region as where the compute resource is
	// created.
	KmsKeyName string `protobuf:"bytes,1,opt,name=kms_key_name,json=kmsKeyName,proto3" json:"kms_key_name,omitempty"`
	// contains filtered or unexported fields
}

Represents a customer-managed encryption key spec that can be applied to a top-level resource.

func (*EncryptionSpec) Descriptor

func (*EncryptionSpec) Descriptor() ([]byte, []int)

Deprecated: Use EncryptionSpec.ProtoReflect.Descriptor instead.

func (*EncryptionSpec) GetKmsKeyName

func (x *EncryptionSpec) GetKmsKeyName() string

func (*EncryptionSpec) ProtoMessage

func (*EncryptionSpec) ProtoMessage()

func (*EncryptionSpec) ProtoReflect

func (x *EncryptionSpec) ProtoReflect() protoreflect.Message

func (*EncryptionSpec) Reset

func (x *EncryptionSpec) Reset()

func (*EncryptionSpec) String

func (x *EncryptionSpec) String() string

Endpoint

type Endpoint struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`

	DeployedModels []*DeployedModel `protobuf:"bytes,4,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"`

	TrafficSplit map[string]int32 "" /* 186 byte string literal not displayed */

	Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,10,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

	Network string `protobuf:"bytes,13,opt,name=network,proto3" json:"network,omitempty"`

	EnablePrivateServiceConnect bool "" /* 148 byte string literal not displayed */

	ModelDeploymentMonitoringJob string "" /* 150 byte string literal not displayed */

	PredictRequestResponseLoggingConfig *PredictRequestResponseLoggingConfig "" /* 173 byte string literal not displayed */

}

Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.

func (*Endpoint) Descriptor

func (*Endpoint) Descriptor() ([]byte, []int)

Deprecated: Use Endpoint.ProtoReflect.Descriptor instead.

func (*Endpoint) GetCreateTime

func (x *Endpoint) GetCreateTime() *timestamppb.Timestamp

func (*Endpoint) GetDeployedModels

func (x *Endpoint) GetDeployedModels() []*DeployedModel

func (*Endpoint) GetDescription

func (x *Endpoint) GetDescription() string

func (*Endpoint) GetDisplayName

func (x *Endpoint) GetDisplayName() string

func (*Endpoint) GetEnablePrivateServiceConnect

func (x *Endpoint) GetEnablePrivateServiceConnect() bool

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/endpoint.proto.

func (*Endpoint) GetEncryptionSpec

func (x *Endpoint) GetEncryptionSpec() *EncryptionSpec

func (*Endpoint) GetEtag

func (x *Endpoint) GetEtag() string

func (*Endpoint) GetLabels

func (x *Endpoint) GetLabels() map[string]string

func (*Endpoint) GetModelDeploymentMonitoringJob

func (x *Endpoint) GetModelDeploymentMonitoringJob() string

func (*Endpoint) GetName

func (x *Endpoint) GetName() string

func (*Endpoint) GetNetwork

func (x *Endpoint) GetNetwork() string

func (*Endpoint) GetPredictRequestResponseLoggingConfig

func (x *Endpoint) GetPredictRequestResponseLoggingConfig() *PredictRequestResponseLoggingConfig

func (*Endpoint) GetTrafficSplit

func (x *Endpoint) GetTrafficSplit() map[string]int32

func (*Endpoint) GetUpdateTime

func (x *Endpoint) GetUpdateTime() *timestamppb.Timestamp

func (*Endpoint) ProtoMessage

func (*Endpoint) ProtoMessage()

func (*Endpoint) ProtoReflect

func (x *Endpoint) ProtoReflect() protoreflect.Message

func (*Endpoint) Reset

func (x *Endpoint) Reset()

func (*Endpoint) String

func (x *Endpoint) String() string

EndpointServiceClient

type EndpointServiceClient interface {
	// Creates an Endpoint.
	CreateEndpoint(ctx context.Context, in *CreateEndpointRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets an Endpoint.
	GetEndpoint(ctx context.Context, in *GetEndpointRequest, opts ...grpc.CallOption) (*Endpoint, error)
	// Lists Endpoints in a Location.
	ListEndpoints(ctx context.Context, in *ListEndpointsRequest, opts ...grpc.CallOption) (*ListEndpointsResponse, error)
	// Updates an Endpoint.
	UpdateEndpoint(ctx context.Context, in *UpdateEndpointRequest, opts ...grpc.CallOption) (*Endpoint, error)
	// Deletes an Endpoint.
	DeleteEndpoint(ctx context.Context, in *DeleteEndpointRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deploys a Model into this Endpoint, creating a DeployedModel within it.
	DeployModel(ctx context.Context, in *DeployModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
	// freeing all resources it's using.
	UndeployModel(ctx context.Context, in *UndeployModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Updates an existing deployed model. Updatable fields include
	// `min_replica_count`, `max_replica_count`, `autoscaling_metric_specs`,
	// `disable_container_logging` (v1 only), and `enable_container_logging`
	// (v1beta1 only).
	MutateDeployedModel(ctx context.Context, in *MutateDeployedModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

EndpointServiceClient is the client API for EndpointService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewEndpointServiceClient

func NewEndpointServiceClient(cc grpc.ClientConnInterface) EndpointServiceClient

EndpointServiceServer

type EndpointServiceServer interface {
	// Creates an Endpoint.
	CreateEndpoint(context.Context, *CreateEndpointRequest) (*longrunningpb.Operation, error)
	// Gets an Endpoint.
	GetEndpoint(context.Context, *GetEndpointRequest) (*Endpoint, error)
	// Lists Endpoints in a Location.
	ListEndpoints(context.Context, *ListEndpointsRequest) (*ListEndpointsResponse, error)
	// Updates an Endpoint.
	UpdateEndpoint(context.Context, *UpdateEndpointRequest) (*Endpoint, error)
	// Deletes an Endpoint.
	DeleteEndpoint(context.Context, *DeleteEndpointRequest) (*longrunningpb.Operation, error)
	// Deploys a Model into this Endpoint, creating a DeployedModel within it.
	DeployModel(context.Context, *DeployModelRequest) (*longrunningpb.Operation, error)
	// Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
	// freeing all resources it's using.
	UndeployModel(context.Context, *UndeployModelRequest) (*longrunningpb.Operation, error)
	// Updates an existing deployed model. Updatable fields include
	// `min_replica_count`, `max_replica_count`, `autoscaling_metric_specs`,
	// `disable_container_logging` (v1 only), and `enable_container_logging`
	// (v1beta1 only).
	MutateDeployedModel(context.Context, *MutateDeployedModelRequest) (*longrunningpb.Operation, error)
}

EndpointServiceServer is the server API for EndpointService service.

EntityIdSelector

type EntityIdSelector struct {

	// Details about the source data, including the location of the storage and
	// the format.
	//
	// Types that are assignable to EntityIdsSource:
	//	*EntityIdSelector_CsvSource
	EntityIdsSource isEntityIdSelector_EntityIdsSource `protobuf_oneof:"EntityIdsSource"`
	// Source column that holds entity IDs. If not provided, entity IDs are
	// extracted from the column named `entity_id`.
	EntityIdField string `protobuf:"bytes,5,opt,name=entity_id_field,json=entityIdField,proto3" json:"entity_id_field,omitempty"`
	// contains filtered or unexported fields
}

Selector for entityId. Getting ids from the given source.

func (*EntityIdSelector) Descriptor

func (*EntityIdSelector) Descriptor() ([]byte, []int)

Deprecated: Use EntityIdSelector.ProtoReflect.Descriptor instead.

func (*EntityIdSelector) GetCsvSource

func (x *EntityIdSelector) GetCsvSource() *CsvSource

func (*EntityIdSelector) GetEntityIdField

func (x *EntityIdSelector) GetEntityIdField() string

func (*EntityIdSelector) GetEntityIdsSource

func (m *EntityIdSelector) GetEntityIdsSource() isEntityIdSelector_EntityIdsSource

func (*EntityIdSelector) ProtoMessage

func (*EntityIdSelector) ProtoMessage()

func (*EntityIdSelector) ProtoReflect

func (x *EntityIdSelector) ProtoReflect() protoreflect.Message

func (*EntityIdSelector) Reset

func (x *EntityIdSelector) Reset()

func (*EntityIdSelector) String

func (x *EntityIdSelector) String() string

EntityIdSelector_CsvSource

type EntityIdSelector_CsvSource struct {
	// Source of Csv
	CsvSource *CsvSource `protobuf:"bytes,3,opt,name=csv_source,json=csvSource,proto3,oneof"`
}

EntityType

type EntityType struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`

	MonitoringConfig *FeaturestoreMonitoringConfig `protobuf:"bytes,8,opt,name=monitoring_config,json=monitoringConfig,proto3" json:"monitoring_config,omitempty"`

	OfflineStorageTtlDays int32 "" /* 130 byte string literal not displayed */

}

An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver.

func (*EntityType) Descriptor

func (*EntityType) Descriptor() ([]byte, []int)

Deprecated: Use EntityType.ProtoReflect.Descriptor instead.

func (*EntityType) GetCreateTime

func (x *EntityType) GetCreateTime() *timestamppb.Timestamp

func (*EntityType) GetDescription

func (x *EntityType) GetDescription() string

func (*EntityType) GetEtag

func (x *EntityType) GetEtag() string

func (*EntityType) GetLabels

func (x *EntityType) GetLabels() map[string]string

func (*EntityType) GetMonitoringConfig

func (x *EntityType) GetMonitoringConfig() *FeaturestoreMonitoringConfig

func (*EntityType) GetName

func (x *EntityType) GetName() string

func (*EntityType) GetOfflineStorageTtlDays

func (x *EntityType) GetOfflineStorageTtlDays() int32

func (*EntityType) GetUpdateTime

func (x *EntityType) GetUpdateTime() *timestamppb.Timestamp

func (*EntityType) ProtoMessage

func (*EntityType) ProtoMessage()

func (*EntityType) ProtoReflect

func (x *EntityType) ProtoReflect() protoreflect.Message

func (*EntityType) Reset

func (x *EntityType) Reset()

func (*EntityType) String

func (x *EntityType) String() string

EnvVar

type EnvVar struct {

	// Required. Name of the environment variable. Must be a valid C identifier.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. Variables that reference a $(VAR_NAME) are expanded
	// using the previous defined environment variables in the container and
	// any service environment variables. If a variable cannot be resolved,
	// the reference in the input string will be unchanged. The $(VAR_NAME)
	// syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
	// references will never be expanded, regardless of whether the variable
	// exists or not.
	Value string `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

Represents an environment variable present in a Container or Python Module.

func (*EnvVar) Descriptor

func (*EnvVar) Descriptor() ([]byte, []int)

Deprecated: Use EnvVar.ProtoReflect.Descriptor instead.

func (*EnvVar) GetName

func (x *EnvVar) GetName() string

func (*EnvVar) GetValue

func (x *EnvVar) GetValue() string

func (*EnvVar) ProtoMessage

func (*EnvVar) ProtoMessage()

func (*EnvVar) ProtoReflect

func (x *EnvVar) ProtoReflect() protoreflect.Message

func (*EnvVar) Reset

func (x *EnvVar) Reset()

func (*EnvVar) String

func (x *EnvVar) String() string

ErrorAnalysisAnnotation

type ErrorAnalysisAnnotation struct {
	AttributedItems []*ErrorAnalysisAnnotation_AttributedItem `protobuf:"bytes,1,rep,name=attributed_items,json=attributedItems,proto3" json:"attributed_items,omitempty"`

	QueryType ErrorAnalysisAnnotation_QueryType "" /* 155 byte string literal not displayed */

	OutlierScore float64 `protobuf:"fixed64,3,opt,name=outlier_score,json=outlierScore,proto3" json:"outlier_score,omitempty"`

	OutlierThreshold float64 `protobuf:"fixed64,4,opt,name=outlier_threshold,json=outlierThreshold,proto3" json:"outlier_threshold,omitempty"`

}

Model error analysis for each annotation.

func (*ErrorAnalysisAnnotation) Descriptor

func (*ErrorAnalysisAnnotation) Descriptor() ([]byte, []int)

Deprecated: Use ErrorAnalysisAnnotation.ProtoReflect.Descriptor instead.

func (*ErrorAnalysisAnnotation) GetAttributedItems

func (x *ErrorAnalysisAnnotation) GetAttributedItems() []*ErrorAnalysisAnnotation_AttributedItem

func (*ErrorAnalysisAnnotation) GetOutlierScore

func (x *ErrorAnalysisAnnotation) GetOutlierScore() float64

func (*ErrorAnalysisAnnotation) GetOutlierThreshold

func (x *ErrorAnalysisAnnotation) GetOutlierThreshold() float64

func (*ErrorAnalysisAnnotation) GetQueryType

func (x *ErrorAnalysisAnnotation) GetQueryType() ErrorAnalysisAnnotation_QueryType

func (*ErrorAnalysisAnnotation) ProtoMessage

func (*ErrorAnalysisAnnotation) ProtoMessage()

func (*ErrorAnalysisAnnotation) ProtoReflect

func (x *ErrorAnalysisAnnotation) ProtoReflect() protoreflect.Message

func (*ErrorAnalysisAnnotation) Reset

func (x *ErrorAnalysisAnnotation) Reset()

func (*ErrorAnalysisAnnotation) String

func (x *ErrorAnalysisAnnotation) String() string

ErrorAnalysisAnnotation_AttributedItem

type ErrorAnalysisAnnotation_AttributedItem struct {
	AnnotationResourceName string "" /* 129 byte string literal not displayed */

	Distance float64 `protobuf:"fixed64,2,opt,name=distance,proto3" json:"distance,omitempty"`

}

Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.

func (*ErrorAnalysisAnnotation_AttributedItem) Descriptor

func (*ErrorAnalysisAnnotation_AttributedItem) Descriptor() ([]byte, []int)

Deprecated: Use ErrorAnalysisAnnotation_AttributedItem.ProtoReflect.Descriptor instead.

func (*ErrorAnalysisAnnotation_AttributedItem) GetAnnotationResourceName

func (x *ErrorAnalysisAnnotation_AttributedItem) GetAnnotationResourceName() string

func (*ErrorAnalysisAnnotation_AttributedItem) GetDistance

func (x *ErrorAnalysisAnnotation_AttributedItem) GetDistance() float64

func (*ErrorAnalysisAnnotation_AttributedItem) ProtoMessage

func (*ErrorAnalysisAnnotation_AttributedItem) ProtoMessage()

func (*ErrorAnalysisAnnotation_AttributedItem) ProtoReflect

func (x *ErrorAnalysisAnnotation_AttributedItem) ProtoReflect() protoreflect.Message

func (*ErrorAnalysisAnnotation_AttributedItem) Reset

func (x *ErrorAnalysisAnnotation_AttributedItem) Reset()

func (*ErrorAnalysisAnnotation_AttributedItem) String

func (x *ErrorAnalysisAnnotation_AttributedItem) String() string

ErrorAnalysisAnnotation_QueryType

type ErrorAnalysisAnnotation_QueryType int32

The query type used for finding the attributed items.

ErrorAnalysisAnnotation_QUERY_TYPE_UNSPECIFIED, ErrorAnalysisAnnotation_ALL_SIMILAR, ErrorAnalysisAnnotation_SAME_CLASS_SIMILAR, ErrorAnalysisAnnotation_SAME_CLASS_DISSIMILAR

const (
	// Unspecified query type for model error analysis.
	ErrorAnalysisAnnotation_QUERY_TYPE_UNSPECIFIED ErrorAnalysisAnnotation_QueryType = 0
	// Query similar samples across all classes in the dataset.
	ErrorAnalysisAnnotation_ALL_SIMILAR ErrorAnalysisAnnotation_QueryType = 1
	// Query similar samples from the same class of the input sample.
	ErrorAnalysisAnnotation_SAME_CLASS_SIMILAR ErrorAnalysisAnnotation_QueryType = 2
	// Query dissimilar samples from the same class of the input sample.
	ErrorAnalysisAnnotation_SAME_CLASS_DISSIMILAR ErrorAnalysisAnnotation_QueryType = 3
)

func (ErrorAnalysisAnnotation_QueryType) Descriptor

func (ErrorAnalysisAnnotation_QueryType) Descriptor() protoreflect.EnumDescriptor

func (ErrorAnalysisAnnotation_QueryType) Enum

func (x ErrorAnalysisAnnotation_QueryType) Enum() *ErrorAnalysisAnnotation_QueryType

func (ErrorAnalysisAnnotation_QueryType) EnumDescriptor

func (ErrorAnalysisAnnotation_QueryType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ErrorAnalysisAnnotation_QueryType.Descriptor instead.

func (ErrorAnalysisAnnotation_QueryType) Number

func (x ErrorAnalysisAnnotation_QueryType) Number() protoreflect.EnumNumber

func (ErrorAnalysisAnnotation_QueryType) String

func (x ErrorAnalysisAnnotation_QueryType) String() string

func (ErrorAnalysisAnnotation_QueryType) Type

func (ErrorAnalysisAnnotation_QueryType) Type() protoreflect.EnumType

EvaluatedAnnotation

type EvaluatedAnnotation struct {
	Type EvaluatedAnnotation_EvaluatedAnnotationType "" /* 138 byte string literal not displayed */

	Predictions []*structpb.Value `protobuf:"bytes,2,rep,name=predictions,proto3" json:"predictions,omitempty"`

	GroundTruths []*structpb.Value `protobuf:"bytes,3,rep,name=ground_truths,json=groundTruths,proto3" json:"ground_truths,omitempty"`

	DataItemPayload *structpb.Value `protobuf:"bytes,5,opt,name=data_item_payload,json=dataItemPayload,proto3" json:"data_item_payload,omitempty"`

	EvaluatedDataItemViewId string "" /* 136 byte string literal not displayed */

	Explanations []*EvaluatedAnnotationExplanation `protobuf:"bytes,8,rep,name=explanations,proto3" json:"explanations,omitempty"`

	ErrorAnalysisAnnotations []*ErrorAnalysisAnnotation "" /* 135 byte string literal not displayed */

}

True positive, false positive, or false negative.

EvaluatedAnnotation is only available under ModelEvaluationSlice with slice of annotationSpec dimension.

func (*EvaluatedAnnotation) Descriptor

func (*EvaluatedAnnotation) Descriptor() ([]byte, []int)

Deprecated: Use EvaluatedAnnotation.ProtoReflect.Descriptor instead.

func (*EvaluatedAnnotation) GetDataItemPayload

func (x *EvaluatedAnnotation) GetDataItemPayload() *structpb.Value

func (*EvaluatedAnnotation) GetErrorAnalysisAnnotations

func (x *EvaluatedAnnotation) GetErrorAnalysisAnnotations() []*ErrorAnalysisAnnotation

func (*EvaluatedAnnotation) GetEvaluatedDataItemViewId

func (x *EvaluatedAnnotation) GetEvaluatedDataItemViewId() string

func (*EvaluatedAnnotation) GetExplanations

func (x *EvaluatedAnnotation) GetExplanations() []*EvaluatedAnnotationExplanation

func (*EvaluatedAnnotation) GetGroundTruths

func (x *EvaluatedAnnotation) GetGroundTruths() []*structpb.Value

func (*EvaluatedAnnotation) GetPredictions

func (x *EvaluatedAnnotation) GetPredictions() []*structpb.Value

func (*EvaluatedAnnotation) GetType

func (x *EvaluatedAnnotation) GetType() EvaluatedAnnotation_EvaluatedAnnotationType

func (*EvaluatedAnnotation) ProtoMessage

func (*EvaluatedAnnotation) ProtoMessage()

func (*EvaluatedAnnotation) ProtoReflect

func (x *EvaluatedAnnotation) ProtoReflect() protoreflect.Message

func (*EvaluatedAnnotation) Reset

func (x *EvaluatedAnnotation) Reset()

func (*EvaluatedAnnotation) String

func (x *EvaluatedAnnotation) String() string

EvaluatedAnnotationExplanation

type EvaluatedAnnotationExplanation struct {

	// Explanation type.
	//
	// For AutoML Image Classification models, possible values are:
	//
	//   * `image-integrated-gradients`
	//   * `image-xrai`
	ExplanationType string `protobuf:"bytes,1,opt,name=explanation_type,json=explanationType,proto3" json:"explanation_type,omitempty"`
	// Explanation attribution response details.
	Explanation *Explanation `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
	// contains filtered or unexported fields
}

Explanation result of the prediction produced by the Model.

func (*EvaluatedAnnotationExplanation) Descriptor

func (*EvaluatedAnnotationExplanation) Descriptor() ([]byte, []int)

Deprecated: Use EvaluatedAnnotationExplanation.ProtoReflect.Descriptor instead.

func (*EvaluatedAnnotationExplanation) GetExplanation

func (x *EvaluatedAnnotationExplanation) GetExplanation() *Explanation

func (*EvaluatedAnnotationExplanation) GetExplanationType

func (x *EvaluatedAnnotationExplanation) GetExplanationType() string

func (*EvaluatedAnnotationExplanation) ProtoMessage

func (*EvaluatedAnnotationExplanation) ProtoMessage()

func (*EvaluatedAnnotationExplanation) ProtoReflect

func (x *EvaluatedAnnotationExplanation) ProtoReflect() protoreflect.Message

func (*EvaluatedAnnotationExplanation) Reset

func (x *EvaluatedAnnotationExplanation) Reset()

func (*EvaluatedAnnotationExplanation) String

func (x *EvaluatedAnnotationExplanation) String() string

EvaluatedAnnotation_EvaluatedAnnotationType

type EvaluatedAnnotation_EvaluatedAnnotationType int32

Describes the type of the EvaluatedAnnotation. The type is determined

EvaluatedAnnotation_EVALUATED_ANNOTATION_TYPE_UNSPECIFIED, EvaluatedAnnotation_TRUE_POSITIVE, EvaluatedAnnotation_FALSE_POSITIVE, EvaluatedAnnotation_FALSE_NEGATIVE

const (
	// Invalid value.
	EvaluatedAnnotation_EVALUATED_ANNOTATION_TYPE_UNSPECIFIED EvaluatedAnnotation_EvaluatedAnnotationType = 0
	// The EvaluatedAnnotation is a true positive. It has a prediction created
	// by the Model and a ground truth Annotation which the prediction matches.
	EvaluatedAnnotation_TRUE_POSITIVE EvaluatedAnnotation_EvaluatedAnnotationType = 1
	// The EvaluatedAnnotation is false positive. It has a prediction created by
	// the Model which does not match any ground truth annotation.
	EvaluatedAnnotation_FALSE_POSITIVE EvaluatedAnnotation_EvaluatedAnnotationType = 2
	// The EvaluatedAnnotation is false negative. It has a ground truth
	// annotation which is not matched by any of the model created predictions.
	EvaluatedAnnotation_FALSE_NEGATIVE EvaluatedAnnotation_EvaluatedAnnotationType = 3
)

func (EvaluatedAnnotation_EvaluatedAnnotationType) Descriptor

func (EvaluatedAnnotation_EvaluatedAnnotationType) Descriptor() protoreflect.EnumDescriptor

func (EvaluatedAnnotation_EvaluatedAnnotationType) Enum

func (x EvaluatedAnnotation_EvaluatedAnnotationType) Enum() *EvaluatedAnnotation_EvaluatedAnnotationType

func (EvaluatedAnnotation_EvaluatedAnnotationType) EnumDescriptor

func (EvaluatedAnnotation_EvaluatedAnnotationType) EnumDescriptor() ([]byte, []int)

Deprecated: Use EvaluatedAnnotation_EvaluatedAnnotationType.Descriptor instead.

func (EvaluatedAnnotation_EvaluatedAnnotationType) Number

func (x EvaluatedAnnotation_EvaluatedAnnotationType) Number() protoreflect.EnumNumber

func (EvaluatedAnnotation_EvaluatedAnnotationType) String

func (x EvaluatedAnnotation_EvaluatedAnnotationType) String() string

func (EvaluatedAnnotation_EvaluatedAnnotationType) Type

func (EvaluatedAnnotation_EvaluatedAnnotationType) Type() protoreflect.EnumType

Event

type Event struct {
	Artifact string `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`

	Execution string `protobuf:"bytes,2,opt,name=execution,proto3" json:"execution,omitempty"`

	EventTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=event_time,json=eventTime,proto3" json:"event_time,omitempty"`

	Type Event_Type `protobuf:"varint,4,opt,name=type,proto3,enum=google.cloud.aiplatform.v1.Event_Type" json:"type,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

}

An edge describing the relationship between an Artifact and an Execution in a lineage graph.

func (*Event) Descriptor

func (*Event) Descriptor() ([]byte, []int)

Deprecated: Use Event.ProtoReflect.Descriptor instead.

func (*Event) GetArtifact

func (x *Event) GetArtifact() string

func (*Event) GetEventTime

func (x *Event) GetEventTime() *timestamppb.Timestamp

func (*Event) GetExecution

func (x *Event) GetExecution() string

func (*Event) GetLabels

func (x *Event) GetLabels() map[string]string

func (*Event) GetType

func (x *Event) GetType() Event_Type

func (*Event) ProtoMessage

func (*Event) ProtoMessage()

func (*Event) ProtoReflect

func (x *Event) ProtoReflect() protoreflect.Message

func (*Event) Reset

func (x *Event) Reset()

func (*Event) String

func (x *Event) String() string

Event_Type

type Event_Type int32

Describes whether an Event's Artifact is the Execution's input or output.

Event_TYPE_UNSPECIFIED, Event_INPUT, Event_OUTPUT

const (
	// Unspecified whether input or output of the Execution.
	Event_TYPE_UNSPECIFIED Event_Type = 0
	// An input of the Execution.
	Event_INPUT Event_Type = 1
	// An output of the Execution.
	Event_OUTPUT Event_Type = 2
)

func (Event_Type) Descriptor

func (Event_Type) Descriptor() protoreflect.EnumDescriptor

func (Event_Type) Enum

func (x Event_Type) Enum() *Event_Type

func (Event_Type) EnumDescriptor

func (Event_Type) EnumDescriptor() ([]byte, []int)

Deprecated: Use Event_Type.Descriptor instead.

func (Event_Type) Number

func (x Event_Type) Number() protoreflect.EnumNumber

func (Event_Type) String

func (x Event_Type) String() string

func (Event_Type) Type

func (Event_Type) Type() protoreflect.EnumType

ExamplesOverride

type ExamplesOverride struct {
	NeighborCount int32 `protobuf:"varint,1,opt,name=neighbor_count,json=neighborCount,proto3" json:"neighbor_count,omitempty"`

	CrowdingCount int32 `protobuf:"varint,2,opt,name=crowding_count,json=crowdingCount,proto3" json:"crowding_count,omitempty"`

	Restrictions []*ExamplesRestrictionsNamespace `protobuf:"bytes,3,rep,name=restrictions,proto3" json:"restrictions,omitempty"`

	ReturnEmbeddings bool `protobuf:"varint,4,opt,name=return_embeddings,json=returnEmbeddings,proto3" json:"return_embeddings,omitempty"`

	DataFormat ExamplesOverride_DataFormat "" /* 152 byte string literal not displayed */

}

Overrides for example-based explanations.

func (*ExamplesOverride) Descriptor

func (*ExamplesOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExamplesOverride.ProtoReflect.Descriptor instead.

func (*ExamplesOverride) GetCrowdingCount

func (x *ExamplesOverride) GetCrowdingCount() int32

func (*ExamplesOverride) GetDataFormat

func (x *ExamplesOverride) GetDataFormat() ExamplesOverride_DataFormat

func (*ExamplesOverride) GetNeighborCount

func (x *ExamplesOverride) GetNeighborCount() int32

func (*ExamplesOverride) GetRestrictions

func (x *ExamplesOverride) GetRestrictions() []*ExamplesRestrictionsNamespace

func (*ExamplesOverride) GetReturnEmbeddings

func (x *ExamplesOverride) GetReturnEmbeddings() bool

func (*ExamplesOverride) ProtoMessage

func (*ExamplesOverride) ProtoMessage()

func (*ExamplesOverride) ProtoReflect

func (x *ExamplesOverride) ProtoReflect() protoreflect.Message

func (*ExamplesOverride) Reset

func (x *ExamplesOverride) Reset()

func (*ExamplesOverride) String

func (x *ExamplesOverride) String() string

ExamplesOverride_DataFormat

type ExamplesOverride_DataFormat int32

Data format enum.

ExamplesOverride_DATA_FORMAT_UNSPECIFIED, ExamplesOverride_INSTANCES, ExamplesOverride_EMBEDDINGS

const (
	// Unspecified format. Must not be used.
	ExamplesOverride_DATA_FORMAT_UNSPECIFIED ExamplesOverride_DataFormat = 0
	// Provided data is a set of model inputs.
	ExamplesOverride_INSTANCES ExamplesOverride_DataFormat = 1
	// Provided data is a set of embeddings.
	ExamplesOverride_EMBEDDINGS ExamplesOverride_DataFormat = 2
)

func (ExamplesOverride_DataFormat) Descriptor

func (ExamplesOverride_DataFormat) Descriptor() protoreflect.EnumDescriptor

func (ExamplesOverride_DataFormat) Enum

func (x ExamplesOverride_DataFormat) Enum() *ExamplesOverride_DataFormat

func (ExamplesOverride_DataFormat) EnumDescriptor

func (ExamplesOverride_DataFormat) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExamplesOverride_DataFormat.Descriptor instead.

func (ExamplesOverride_DataFormat) Number

func (x ExamplesOverride_DataFormat) Number() protoreflect.EnumNumber

func (ExamplesOverride_DataFormat) String

func (x ExamplesOverride_DataFormat) String() string

func (ExamplesOverride_DataFormat) Type

func (ExamplesOverride_DataFormat) Type() protoreflect.EnumType

ExamplesRestrictionsNamespace

type ExamplesRestrictionsNamespace struct {

	// The namespace name.
	NamespaceName string `protobuf:"bytes,1,opt,name=namespace_name,json=namespaceName,proto3" json:"namespace_name,omitempty"`
	// The list of allowed tags.
	Allow []string `protobuf:"bytes,2,rep,name=allow,proto3" json:"allow,omitempty"`
	// The list of deny tags.
	Deny []string `protobuf:"bytes,3,rep,name=deny,proto3" json:"deny,omitempty"`
	// contains filtered or unexported fields
}

Restrictions namespace for example-based explanations overrides.

func (*ExamplesRestrictionsNamespace) Descriptor

func (*ExamplesRestrictionsNamespace) Descriptor() ([]byte, []int)

Deprecated: Use ExamplesRestrictionsNamespace.ProtoReflect.Descriptor instead.

func (*ExamplesRestrictionsNamespace) GetAllow

func (x *ExamplesRestrictionsNamespace) GetAllow() []string

func (*ExamplesRestrictionsNamespace) GetDeny

func (x *ExamplesRestrictionsNamespace) GetDeny() []string

func (*ExamplesRestrictionsNamespace) GetNamespaceName

func (x *ExamplesRestrictionsNamespace) GetNamespaceName() string

func (*ExamplesRestrictionsNamespace) ProtoMessage

func (*ExamplesRestrictionsNamespace) ProtoMessage()

func (*ExamplesRestrictionsNamespace) ProtoReflect

func (x *ExamplesRestrictionsNamespace) ProtoReflect() protoreflect.Message

func (*ExamplesRestrictionsNamespace) Reset

func (x *ExamplesRestrictionsNamespace) Reset()

func (*ExamplesRestrictionsNamespace) String

func (x *ExamplesRestrictionsNamespace) String() string

Execution

type Execution struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	State Execution_State `protobuf:"varint,6,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Execution_State" json:"state,omitempty"`

	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	SchemaTitle string `protobuf:"bytes,13,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`

	SchemaVersion string `protobuf:"bytes,14,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`

	Metadata *structpb.Struct `protobuf:"bytes,15,opt,name=metadata,proto3" json:"metadata,omitempty"`

	Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`

}

Instance of a general execution.

func (*Execution) Descriptor

func (*Execution) Descriptor() ([]byte, []int)

Deprecated: Use Execution.ProtoReflect.Descriptor instead.

func (*Execution) GetCreateTime

func (x *Execution) GetCreateTime() *timestamppb.Timestamp

func (*Execution) GetDescription

func (x *Execution) GetDescription() string

func (*Execution) GetDisplayName

func (x *Execution) GetDisplayName() string

func (*Execution) GetEtag

func (x *Execution) GetEtag() string

func (*Execution) GetLabels

func (x *Execution) GetLabels() map[string]string

func (*Execution) GetMetadata

func (x *Execution) GetMetadata() *structpb.Struct

func (*Execution) GetName

func (x *Execution) GetName() string

func (*Execution) GetSchemaTitle

func (x *Execution) GetSchemaTitle() string

func (*Execution) GetSchemaVersion

func (x *Execution) GetSchemaVersion() string

func (*Execution) GetState

func (x *Execution) GetState() Execution_State

func (*Execution) GetUpdateTime

func (x *Execution) GetUpdateTime() *timestamppb.Timestamp

func (*Execution) ProtoMessage

func (*Execution) ProtoMessage()

func (*Execution) ProtoReflect

func (x *Execution) ProtoReflect() protoreflect.Message

func (*Execution) Reset

func (x *Execution) Reset()

func (*Execution) String

func (x *Execution) String() string

Execution_State

type Execution_State int32

Describes the state of the Execution.

Execution_STATE_UNSPECIFIED, Execution_NEW, Execution_RUNNING, Execution_COMPLETE, Execution_FAILED, Execution_CACHED, Execution_CANCELLED

const (
	// Unspecified Execution state
	Execution_STATE_UNSPECIFIED Execution_State = 0
	// The Execution is new
	Execution_NEW Execution_State = 1
	// The Execution is running
	Execution_RUNNING Execution_State = 2
	// The Execution has finished running
	Execution_COMPLETE Execution_State = 3
	// The Execution has failed
	Execution_FAILED Execution_State = 4
	// The Execution completed through Cache hit.
	Execution_CACHED Execution_State = 5
	// The Execution was cancelled.
	Execution_CANCELLED Execution_State = 6
)

func (Execution_State) Descriptor

func (Execution_State) Descriptor() protoreflect.EnumDescriptor

func (Execution_State) Enum

func (x Execution_State) Enum() *Execution_State

func (Execution_State) EnumDescriptor

func (Execution_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Execution_State.Descriptor instead.

func (Execution_State) Number

func (x Execution_State) Number() protoreflect.EnumNumber

func (Execution_State) String

func (x Execution_State) String() string

func (Execution_State) Type

func (Execution_State) Type() protoreflect.EnumType

ExplainRequest

type ExplainRequest struct {
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`

	Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`

	Parameters *structpb.Value `protobuf:"bytes,4,opt,name=parameters,proto3" json:"parameters,omitempty"`

	ExplanationSpecOverride *ExplanationSpecOverride "" /* 132 byte string literal not displayed */

	DeployedModelId string `protobuf:"bytes,3,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`

}

Request message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].

func (*ExplainRequest) Descriptor

func (*ExplainRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExplainRequest.ProtoReflect.Descriptor instead.

func (*ExplainRequest) GetDeployedModelId

func (x *ExplainRequest) GetDeployedModelId() string

func (*ExplainRequest) GetEndpoint

func (x *ExplainRequest) GetEndpoint() string

func (*ExplainRequest) GetExplanationSpecOverride

func (x *ExplainRequest) GetExplanationSpecOverride() *ExplanationSpecOverride

func (*ExplainRequest) GetInstances

func (x *ExplainRequest) GetInstances() []*structpb.Value

func (*ExplainRequest) GetParameters

func (x *ExplainRequest) GetParameters() *structpb.Value

func (*ExplainRequest) ProtoMessage

func (*ExplainRequest) ProtoMessage()

func (*ExplainRequest) ProtoReflect

func (x *ExplainRequest) ProtoReflect() protoreflect.Message

func (*ExplainRequest) Reset

func (x *ExplainRequest) Reset()

func (*ExplainRequest) String

func (x *ExplainRequest) String() string

ExplainResponse

type ExplainResponse struct {

	// The explanations of the Model's
	// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
	//
	// It has the same number of elements as
	// [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
	// explained.
	Explanations []*Explanation `protobuf:"bytes,1,rep,name=explanations,proto3" json:"explanations,omitempty"`
	// ID of the Endpoint's DeployedModel that served this explanation.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// The predictions that are the output of the predictions call.
	// Same as
	// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
	Predictions []*structpb.Value `protobuf:"bytes,3,rep,name=predictions,proto3" json:"predictions,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].

func (*ExplainResponse) Descriptor

func (*ExplainResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExplainResponse.ProtoReflect.Descriptor instead.

func (*ExplainResponse) GetDeployedModelId

func (x *ExplainResponse) GetDeployedModelId() string

func (*ExplainResponse) GetExplanations

func (x *ExplainResponse) GetExplanations() []*Explanation

func (*ExplainResponse) GetPredictions

func (x *ExplainResponse) GetPredictions() []*structpb.Value

func (*ExplainResponse) ProtoMessage

func (*ExplainResponse) ProtoMessage()

func (*ExplainResponse) ProtoReflect

func (x *ExplainResponse) ProtoReflect() protoreflect.Message

func (*ExplainResponse) Reset

func (x *ExplainResponse) Reset()

func (*ExplainResponse) String

func (x *ExplainResponse) String() string

Explanation

type Explanation struct {

	// Output only. Feature attributions grouped by predicted outputs.
	//
	// For Models that predict only one output, such as regression Models that
	// predict only one score, there is only one attibution that explains the
	// predicted output. For Models that predict multiple outputs, such as
	// multiclass Models that predict multiple classes, each element explains one
	// specific item.
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// can be used to identify which output this attribution is explaining.
	//
	// If users set
	// [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
	// the attributions are sorted by
	// [instance_output_value][Attributions.instance_output_value] in descending
	// order. If
	// [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
	// is specified, the attributions are stored by
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// in the same order as they appear in the output_indices.
	Attributions []*Attribution `protobuf:"bytes,1,rep,name=attributions,proto3" json:"attributions,omitempty"`
	// Output only. List of the nearest neighbors for example-based explanations.
	//
	// For models deployed with the examples explanations feature enabled, the
	// attributions field is empty and instead the neighbors field is populated.
	Neighbors []*Neighbor `protobuf:"bytes,2,rep,name=neighbors,proto3" json:"neighbors,omitempty"`
	// contains filtered or unexported fields
}

Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions]) produced by the Model on a given [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].

func (*Explanation) Descriptor

func (*Explanation) Descriptor() ([]byte, []int)

Deprecated: Use Explanation.ProtoReflect.Descriptor instead.

func (*Explanation) GetAttributions

func (x *Explanation) GetAttributions() []*Attribution

func (*Explanation) GetNeighbors

func (x *Explanation) GetNeighbors() []*Neighbor

func (*Explanation) ProtoMessage

func (*Explanation) ProtoMessage()

func (*Explanation) ProtoReflect

func (x *Explanation) ProtoReflect() protoreflect.Message

func (*Explanation) Reset

func (x *Explanation) Reset()

func (*Explanation) String

func (x *Explanation) String() string

ExplanationMetadata

type ExplanationMetadata struct {
	Inputs map[string]*ExplanationMetadata_InputMetadata "" /* 153 byte string literal not displayed */

	Outputs map[string]*ExplanationMetadata_OutputMetadata "" /* 155 byte string literal not displayed */

	FeatureAttributionsSchemaUri string "" /* 149 byte string literal not displayed */

	LatentSpaceSource string `protobuf:"bytes,5,opt,name=latent_space_source,json=latentSpaceSource,proto3" json:"latent_space_source,omitempty"`

}

Metadata describing the Model's input and output for explanation.

func (*ExplanationMetadata) Descriptor

func (*ExplanationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata) GetFeatureAttributionsSchemaUri

func (x *ExplanationMetadata) GetFeatureAttributionsSchemaUri() string

func (*ExplanationMetadata) GetInputs

func (x *ExplanationMetadata) GetInputs() map[string]*ExplanationMetadata_InputMetadata

func (*ExplanationMetadata) GetLatentSpaceSource

func (x *ExplanationMetadata) GetLatentSpaceSource() string

func (*ExplanationMetadata) GetOutputs

func (x *ExplanationMetadata) GetOutputs() map[string]*ExplanationMetadata_OutputMetadata

func (*ExplanationMetadata) ProtoMessage

func (*ExplanationMetadata) ProtoMessage()

func (*ExplanationMetadata) ProtoReflect

func (x *ExplanationMetadata) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata) Reset

func (x *ExplanationMetadata) Reset()

func (*ExplanationMetadata) String

func (x *ExplanationMetadata) String() string

ExplanationMetadataOverride

type ExplanationMetadataOverride struct {
	Inputs map[string]*ExplanationMetadataOverride_InputMetadataOverride "" /* 153 byte string literal not displayed */

}

The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.

func (*ExplanationMetadataOverride) Descriptor

func (*ExplanationMetadataOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadataOverride.ProtoReflect.Descriptor instead.

func (*ExplanationMetadataOverride) GetInputs

func (x *ExplanationMetadataOverride) GetInputs() map[string]*ExplanationMetadataOverride_InputMetadataOverride

func (*ExplanationMetadataOverride) ProtoMessage

func (*ExplanationMetadataOverride) ProtoMessage()

func (*ExplanationMetadataOverride) ProtoReflect

func (x *ExplanationMetadataOverride) ProtoReflect() protoreflect.Message

func (*ExplanationMetadataOverride) Reset

func (x *ExplanationMetadataOverride) Reset()

func (*ExplanationMetadataOverride) String

func (x *ExplanationMetadataOverride) String() string

ExplanationMetadataOverride_InputMetadataOverride

type ExplanationMetadataOverride_InputMetadataOverride struct {

	// Baseline inputs for this feature.
	//
	// This overrides the `input_baseline` field of the
	// [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
	// object of the corresponding feature's input metadata. If it's not
	// specified, the original baselines are not overridden.
	InputBaselines []*structpb.Value `protobuf:"bytes,1,rep,name=input_baselines,json=inputBaselines,proto3" json:"input_baselines,omitempty"`
	// contains filtered or unexported fields
}

The [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata] entries to be overridden.

func (*ExplanationMetadataOverride_InputMetadataOverride) Descriptor

func (*ExplanationMetadataOverride_InputMetadataOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadataOverride_InputMetadataOverride.ProtoReflect.Descriptor instead.

func (*ExplanationMetadataOverride_InputMetadataOverride) GetInputBaselines

func (x *ExplanationMetadataOverride_InputMetadataOverride) GetInputBaselines() []*structpb.Value

func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoMessage

func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoMessage()

func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoReflect

func (x *ExplanationMetadataOverride_InputMetadataOverride) ProtoReflect() protoreflect.Message

func (*ExplanationMetadataOverride_InputMetadataOverride) Reset

func (x *ExplanationMetadataOverride_InputMetadataOverride) Reset()

func (*ExplanationMetadataOverride_InputMetadataOverride) String

func (x *ExplanationMetadataOverride_InputMetadataOverride) String() string

ExplanationMetadata_InputMetadata

type ExplanationMetadata_InputMetadata struct {
	InputBaselines []*structpb.Value `protobuf:"bytes,1,rep,name=input_baselines,json=inputBaselines,proto3" json:"input_baselines,omitempty"`

	InputTensorName string `protobuf:"bytes,2,opt,name=input_tensor_name,json=inputTensorName,proto3" json:"input_tensor_name,omitempty"`

	Encoding ExplanationMetadata_InputMetadata_Encoding "" /* 145 byte string literal not displayed */

	Modality string `protobuf:"bytes,4,opt,name=modality,proto3" json:"modality,omitempty"`

	FeatureValueDomain *ExplanationMetadata_InputMetadata_FeatureValueDomain `protobuf:"bytes,5,opt,name=feature_value_domain,json=featureValueDomain,proto3" json:"feature_value_domain,omitempty"`

	IndicesTensorName string `protobuf:"bytes,6,opt,name=indices_tensor_name,json=indicesTensorName,proto3" json:"indices_tensor_name,omitempty"`

	DenseShapeTensorName string `protobuf:"bytes,7,opt,name=dense_shape_tensor_name,json=denseShapeTensorName,proto3" json:"dense_shape_tensor_name,omitempty"`

	IndexFeatureMapping []string `protobuf:"bytes,8,rep,name=index_feature_mapping,json=indexFeatureMapping,proto3" json:"index_feature_mapping,omitempty"`

	EncodedTensorName string `protobuf:"bytes,9,opt,name=encoded_tensor_name,json=encodedTensorName,proto3" json:"encoded_tensor_name,omitempty"`

	EncodedBaselines []*structpb.Value `protobuf:"bytes,10,rep,name=encoded_baselines,json=encodedBaselines,proto3" json:"encoded_baselines,omitempty"`

	Visualization *ExplanationMetadata_InputMetadata_Visualization `protobuf:"bytes,11,opt,name=visualization,proto3" json:"visualization,omitempty"`

	GroupName string `protobuf:"bytes,12,opt,name=group_name,json=groupName,proto3" json:"group_name,omitempty"`

}

Metadata of the input of a feature.

Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only for Models that are using Vertex AI-provided images for Tensorflow.

func (*ExplanationMetadata_InputMetadata) Descriptor

func (*ExplanationMetadata_InputMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_InputMetadata) GetDenseShapeTensorName

func (x *ExplanationMetadata_InputMetadata) GetDenseShapeTensorName() string

func (*ExplanationMetadata_InputMetadata) GetEncodedBaselines

func (x *ExplanationMetadata_InputMetadata) GetEncodedBaselines() []*structpb.Value

func (*ExplanationMetadata_InputMetadata) GetEncodedTensorName

func (x *ExplanationMetadata_InputMetadata) GetEncodedTensorName() string

func (*ExplanationMetadata_InputMetadata) GetEncoding

func (x *ExplanationMetadata_InputMetadata) GetEncoding() ExplanationMetadata_InputMetadata_Encoding

func (*ExplanationMetadata_InputMetadata) GetFeatureValueDomain

func (x *ExplanationMetadata_InputMetadata) GetFeatureValueDomain() *ExplanationMetadata_InputMetadata_FeatureValueDomain

func (*ExplanationMetadata_InputMetadata) GetGroupName

func (x *ExplanationMetadata_InputMetadata) GetGroupName() string

func (*ExplanationMetadata_InputMetadata) GetIndexFeatureMapping

func (x *ExplanationMetadata_InputMetadata) GetIndexFeatureMapping() []string

func (*ExplanationMetadata_InputMetadata) GetIndicesTensorName

func (x *ExplanationMetadata_InputMetadata) GetIndicesTensorName() string

func (*ExplanationMetadata_InputMetadata) GetInputBaselines

func (x *ExplanationMetadata_InputMetadata) GetInputBaselines() []*structpb.Value

func (*ExplanationMetadata_InputMetadata) GetInputTensorName

func (x *ExplanationMetadata_InputMetadata) GetInputTensorName() string

func (*ExplanationMetadata_InputMetadata) GetModality

func (x *ExplanationMetadata_InputMetadata) GetModality() string

func (*ExplanationMetadata_InputMetadata) GetVisualization

func (x *ExplanationMetadata_InputMetadata) GetVisualization() *ExplanationMetadata_InputMetadata_Visualization

func (*ExplanationMetadata_InputMetadata) ProtoMessage

func (*ExplanationMetadata_InputMetadata) ProtoMessage()

func (*ExplanationMetadata_InputMetadata) ProtoReflect

func (x *ExplanationMetadata_InputMetadata) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_InputMetadata) Reset

func (x *ExplanationMetadata_InputMetadata) Reset()

func (*ExplanationMetadata_InputMetadata) String

func (x *ExplanationMetadata_InputMetadata) String() string

ExplanationMetadata_InputMetadata_Encoding

type ExplanationMetadata_InputMetadata_Encoding int32

Defines how a feature is encoded. Defaults to IDENTITY.

ExplanationMetadata_InputMetadata_ENCODING_UNSPECIFIED, ExplanationMetadata_InputMetadata_IDENTITY, ExplanationMetadata_InputMetadata_BAG_OF_FEATURES, ExplanationMetadata_InputMetadata_BAG_OF_FEATURES_SPARSE, ExplanationMetadata_InputMetadata_INDICATOR, ExplanationMetadata_InputMetadata_COMBINED_EMBEDDING, ExplanationMetadata_InputMetadata_CONCAT_EMBEDDING

const (
	// Default value. This is the same as IDENTITY.
	ExplanationMetadata_InputMetadata_ENCODING_UNSPECIFIED ExplanationMetadata_InputMetadata_Encoding = 0
	// The tensor represents one feature.
	ExplanationMetadata_InputMetadata_IDENTITY ExplanationMetadata_InputMetadata_Encoding = 1
	// The tensor represents a bag of features where each index maps to
	// a feature.
	// [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
	// must be provided for this encoding. For example:
	// ```
	// input = [27, 6.0, 150]
	// index_feature_mapping = ["age", "height", "weight"]
	// ```
	ExplanationMetadata_InputMetadata_BAG_OF_FEATURES ExplanationMetadata_InputMetadata_Encoding = 2
	// The tensor represents a bag of features where each index maps to a
	// feature. Zero values in the tensor indicates feature being
	// non-existent.
	// [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
	// must be provided for this encoding. For example:
	// ```
	// input = [2, 0, 5, 0, 1]
	// index_feature_mapping = ["a", "b", "c", "d", "e"]
	// ```
	ExplanationMetadata_InputMetadata_BAG_OF_FEATURES_SPARSE ExplanationMetadata_InputMetadata_Encoding = 3
	// The tensor is a list of binaries representing whether a feature exists
	// or not (1 indicates existence).
	// [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
	// must be provided for this encoding. For example:
	// ```
	// input = [1, 0, 1, 0, 1]
	// index_feature_mapping = ["a", "b", "c", "d", "e"]
	// ```
	ExplanationMetadata_InputMetadata_INDICATOR ExplanationMetadata_InputMetadata_Encoding = 4
	// The tensor is encoded into a 1-dimensional array represented by an
	// encoded tensor.
	// [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
	// must be provided for this encoding. For example:
	// ```
	// input = ["This", "is", "a", "test", "."]
	// encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
	// ```
	ExplanationMetadata_InputMetadata_COMBINED_EMBEDDING ExplanationMetadata_InputMetadata_Encoding = 5
	// Select this encoding when the input tensor is encoded into a
	// 2-dimensional array represented by an encoded tensor.
	// [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
	// must be provided for this encoding. The first dimension of the encoded
	// tensor's shape is the same as the input tensor's shape. For example:
	// ```
	// input = ["This", "is", "a", "test", "."]
	// encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
	//            [0.2, 0.1, 0.4, 0.3, 0.5],
	//            [0.5, 0.1, 0.3, 0.5, 0.4],
	//            [0.5, 0.3, 0.1, 0.2, 0.4],
	//            [0.4, 0.3, 0.2, 0.5, 0.1]]
	// ```
	ExplanationMetadata_InputMetadata_CONCAT_EMBEDDING ExplanationMetadata_InputMetadata_Encoding = 6
)

func (ExplanationMetadata_InputMetadata_Encoding) Descriptor

func (ExplanationMetadata_InputMetadata_Encoding) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Encoding) Enum

func (x ExplanationMetadata_InputMetadata_Encoding) Enum() *ExplanationMetadata_InputMetadata_Encoding

func (ExplanationMetadata_InputMetadata_Encoding) EnumDescriptor

func (ExplanationMetadata_InputMetadata_Encoding) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Encoding.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Encoding) Number

func (x ExplanationMetadata_InputMetadata_Encoding) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Encoding) String

func (x ExplanationMetadata_InputMetadata_Encoding) String() string

func (ExplanationMetadata_InputMetadata_Encoding) Type

func (ExplanationMetadata_InputMetadata_Encoding) Type() protoreflect.EnumType

ExplanationMetadata_InputMetadata_FeatureValueDomain

type ExplanationMetadata_InputMetadata_FeatureValueDomain struct {

	// The minimum permissible value for this feature.
	MinValue float32 `protobuf:"fixed32,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	// The maximum permissible value for this feature.
	MaxValue float32 `protobuf:"fixed32,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	// If this input feature has been normalized to a mean value of 0,
	// the original_mean specifies the mean value of the domain prior to
	// normalization.
	OriginalMean float32 `protobuf:"fixed32,3,opt,name=original_mean,json=originalMean,proto3" json:"original_mean,omitempty"`
	// If this input feature has been normalized to a standard deviation of
	// 1.0, the original_stddev specifies the standard deviation of the domain
	// prior to normalization.
	OriginalStddev float32 `protobuf:"fixed32,4,opt,name=original_stddev,json=originalStddev,proto3" json:"original_stddev,omitempty"`
	// contains filtered or unexported fields
}

Domain details of the input feature value. Provides numeric information about the feature, such as its range (min, max). If the feature has been pre-processed, for example with z-scoring, then it provides information about how to recover the original feature. For example, if the input feature is an image and it has been pre-processed to obtain 0-mean and stddev = 1 values, then original_mean, and original_stddev refer to the mean and stddev of the original feature (e.g. image tensor) from which input feature (with mean = 0 and stddev = 1) was obtained.

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Descriptor

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_FeatureValueDomain.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMaxValue

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMaxValue() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMinValue

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMinValue() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalMean

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalMean() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalStddev

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalStddev() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoMessage

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoMessage()

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoReflect

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Reset

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) Reset()

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) String

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) String() string

ExplanationMetadata_InputMetadata_Visualization

type ExplanationMetadata_InputMetadata_Visualization struct {
	Type ExplanationMetadata_InputMetadata_Visualization_Type "" /* 147 byte string literal not displayed */

	Polarity ExplanationMetadata_InputMetadata_Visualization_Polarity "" /* 159 byte string literal not displayed */

	ColorMap ExplanationMetadata_InputMetadata_Visualization_ColorMap "" /* 175 byte string literal not displayed */

	ClipPercentUpperbound float32 "" /* 128 byte string literal not displayed */

	ClipPercentLowerbound float32 "" /* 128 byte string literal not displayed */

	OverlayType ExplanationMetadata_InputMetadata_Visualization_OverlayType "" /* 187 byte string literal not displayed */

}

Visualization configurations for image explanation.

func (*ExplanationMetadata_InputMetadata_Visualization) Descriptor

func (*ExplanationMetadata_InputMetadata_Visualization) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_InputMetadata_Visualization) GetClipPercentLowerbound

func (x *ExplanationMetadata_InputMetadata_Visualization) GetClipPercentLowerbound() float32

func (*ExplanationMetadata_InputMetadata_Visualization) GetClipPercentUpperbound

func (x *ExplanationMetadata_InputMetadata_Visualization) GetClipPercentUpperbound() float32

func (*ExplanationMetadata_InputMetadata_Visualization) GetColorMap

func (x *ExplanationMetadata_InputMetadata_Visualization) GetColorMap() ExplanationMetadata_InputMetadata_Visualization_ColorMap

func (*ExplanationMetadata_InputMetadata_Visualization) GetOverlayType

func (x *ExplanationMetadata_InputMetadata_Visualization) GetOverlayType() ExplanationMetadata_InputMetadata_Visualization_OverlayType

func (*ExplanationMetadata_InputMetadata_Visualization) GetPolarity

func (x *ExplanationMetadata_InputMetadata_Visualization) GetPolarity() ExplanationMetadata_InputMetadata_Visualization_Polarity

func (*ExplanationMetadata_InputMetadata_Visualization) GetType

func (x *ExplanationMetadata_InputMetadata_Visualization) GetType() ExplanationMetadata_InputMetadata_Visualization_Type

func (*ExplanationMetadata_InputMetadata_Visualization) ProtoMessage

func (*ExplanationMetadata_InputMetadata_Visualization) ProtoMessage()

func (*ExplanationMetadata_InputMetadata_Visualization) ProtoReflect

func (x *ExplanationMetadata_InputMetadata_Visualization) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_InputMetadata_Visualization) Reset

func (x *ExplanationMetadata_InputMetadata_Visualization) Reset()

func (*ExplanationMetadata_InputMetadata_Visualization) String

func (x *ExplanationMetadata_InputMetadata_Visualization) String() string

ExplanationMetadata_InputMetadata_Visualization_ColorMap

type ExplanationMetadata_InputMetadata_Visualization_ColorMap int32

The color scheme used for highlighting areas.

ExplanationMetadata_InputMetadata_Visualization_COLOR_MAP_UNSPECIFIED, ExplanationMetadata_InputMetadata_Visualization_PINK_GREEN, ExplanationMetadata_InputMetadata_Visualization_VIRIDIS, ExplanationMetadata_InputMetadata_Visualization_RED, ExplanationMetadata_InputMetadata_Visualization_GREEN, ExplanationMetadata_InputMetadata_Visualization_RED_GREEN, ExplanationMetadata_InputMetadata_Visualization_PINK_WHITE_GREEN

const (
	// Should not be used.
	ExplanationMetadata_InputMetadata_Visualization_COLOR_MAP_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_ColorMap = 0
	// Positive: green. Negative: pink.
	ExplanationMetadata_InputMetadata_Visualization_PINK_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 1
	// Viridis color map: A perceptually uniform color mapping which is
	// easier to see by those with colorblindness and progresses from yellow
	// to green to blue. Positive: yellow. Negative: blue.
	ExplanationMetadata_InputMetadata_Visualization_VIRIDIS ExplanationMetadata_InputMetadata_Visualization_ColorMap = 2
	// Positive: red. Negative: red.
	ExplanationMetadata_InputMetadata_Visualization_RED ExplanationMetadata_InputMetadata_Visualization_ColorMap = 3
	// Positive: green. Negative: green.
	ExplanationMetadata_InputMetadata_Visualization_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 4
	// Positive: green. Negative: red.
	ExplanationMetadata_InputMetadata_Visualization_RED_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 6
	// PiYG palette.
	ExplanationMetadata_InputMetadata_Visualization_PINK_WHITE_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 5
)

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Descriptor

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Enum

func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) Enum() *ExplanationMetadata_InputMetadata_Visualization_ColorMap

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_ColorMap.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Number

func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) String

func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) String() string

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Type

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Type() protoreflect.EnumType

ExplanationMetadata_InputMetadata_Visualization_OverlayType

type ExplanationMetadata_InputMetadata_Visualization_OverlayType int32

How the original image is displayed in the visualization.

ExplanationMetadata_InputMetadata_Visualization_OVERLAY_TYPE_UNSPECIFIED, ExplanationMetadata_InputMetadata_Visualization_NONE, ExplanationMetadata_InputMetadata_Visualization_ORIGINAL, ExplanationMetadata_InputMetadata_Visualization_GRAYSCALE, ExplanationMetadata_InputMetadata_Visualization_MASK_BLACK

const (
	// Default value. This is the same as NONE.
	ExplanationMetadata_InputMetadata_Visualization_OVERLAY_TYPE_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_OverlayType = 0
	// No overlay.
	ExplanationMetadata_InputMetadata_Visualization_NONE ExplanationMetadata_InputMetadata_Visualization_OverlayType = 1
	// The attributions are shown on top of the original image.
	ExplanationMetadata_InputMetadata_Visualization_ORIGINAL ExplanationMetadata_InputMetadata_Visualization_OverlayType = 2
	// The attributions are shown on top of grayscaled version of the
	// original image.
	ExplanationMetadata_InputMetadata_Visualization_GRAYSCALE ExplanationMetadata_InputMetadata_Visualization_OverlayType = 3
	// The attributions are used as a mask to reveal predictive parts of
	// the image and hide the un-predictive parts.
	ExplanationMetadata_InputMetadata_Visualization_MASK_BLACK ExplanationMetadata_InputMetadata_Visualization_OverlayType = 4
)

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Descriptor

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Enum

func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) Enum() *ExplanationMetadata_InputMetadata_Visualization_OverlayType

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_OverlayType.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Number

func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) String

func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) String() string

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Type

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Type() protoreflect.EnumType

ExplanationMetadata_InputMetadata_Visualization_Polarity

type ExplanationMetadata_InputMetadata_Visualization_Polarity int32

Whether to only highlight pixels with positive contributions, negative or both. Defaults to POSITIVE.

ExplanationMetadata_InputMetadata_Visualization_POLARITY_UNSPECIFIED, ExplanationMetadata_InputMetadata_Visualization_POSITIVE, ExplanationMetadata_InputMetadata_Visualization_NEGATIVE, ExplanationMetadata_InputMetadata_Visualization_BOTH

const (
	// Default value. This is the same as POSITIVE.
	ExplanationMetadata_InputMetadata_Visualization_POLARITY_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_Polarity = 0
	// Highlights the pixels/outlines that were most influential to the
	// model's prediction.
	ExplanationMetadata_InputMetadata_Visualization_POSITIVE ExplanationMetadata_InputMetadata_Visualization_Polarity = 1
	// Setting polarity to negative highlights areas that does not lead to
	// the models's current prediction.
	ExplanationMetadata_InputMetadata_Visualization_NEGATIVE ExplanationMetadata_InputMetadata_Visualization_Polarity = 2
	// Shows both positive and negative attributions.
	ExplanationMetadata_InputMetadata_Visualization_BOTH ExplanationMetadata_InputMetadata_Visualization_Polarity = 3
)

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Descriptor

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Enum

func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) Enum() *ExplanationMetadata_InputMetadata_Visualization_Polarity

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_Polarity.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Number

func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) String

func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) String() string

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Type

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Type() protoreflect.EnumType

ExplanationMetadata_InputMetadata_Visualization_Type

type ExplanationMetadata_InputMetadata_Visualization_Type int32

Type of the image visualization. Only applicable to [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].

ExplanationMetadata_InputMetadata_Visualization_TYPE_UNSPECIFIED, ExplanationMetadata_InputMetadata_Visualization_PIXELS, ExplanationMetadata_InputMetadata_Visualization_OUTLINES

const (
	// Should not be used.
	ExplanationMetadata_InputMetadata_Visualization_TYPE_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_Type = 0
	// Shows which pixel contributed to the image prediction.
	ExplanationMetadata_InputMetadata_Visualization_PIXELS ExplanationMetadata_InputMetadata_Visualization_Type = 1
	// Shows which region contributed to the image prediction by outlining
	// the region.
	ExplanationMetadata_InputMetadata_Visualization_OUTLINES ExplanationMetadata_InputMetadata_Visualization_Type = 2
)

func (ExplanationMetadata_InputMetadata_Visualization_Type) Descriptor

func (ExplanationMetadata_InputMetadata_Visualization_Type) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_Type) Enum

func (x ExplanationMetadata_InputMetadata_Visualization_Type) Enum() *ExplanationMetadata_InputMetadata_Visualization_Type

func (ExplanationMetadata_InputMetadata_Visualization_Type) EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_Type) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_Type.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_Type) Number

func (x ExplanationMetadata_InputMetadata_Visualization_Type) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_Type) String

func (x ExplanationMetadata_InputMetadata_Visualization_Type) String() string

func (ExplanationMetadata_InputMetadata_Visualization_Type) Type

func (ExplanationMetadata_InputMetadata_Visualization_Type) Type() protoreflect.EnumType

ExplanationMetadata_OutputMetadata

type ExplanationMetadata_OutputMetadata struct {

	// Defines how to map
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// to
	// [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name].
	//
	// If neither of the fields are specified,
	// [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
	// will not be populated.
	//
	// Types that are assignable to DisplayNameMapping:
	//	*ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping
	//	*ExplanationMetadata_OutputMetadata_DisplayNameMappingKey
	DisplayNameMapping isExplanationMetadata_OutputMetadata_DisplayNameMapping `protobuf_oneof:"display_name_mapping"`
	// Name of the output tensor. Required and is only applicable to Vertex
	// AI provided images for Tensorflow.
	OutputTensorName string `protobuf:"bytes,3,opt,name=output_tensor_name,json=outputTensorName,proto3" json:"output_tensor_name,omitempty"`
	// contains filtered or unexported fields
}

Metadata of the prediction output to be explained.

func (*ExplanationMetadata_OutputMetadata) Descriptor

func (*ExplanationMetadata_OutputMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_OutputMetadata.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_OutputMetadata) GetDisplayNameMapping

func (m *ExplanationMetadata_OutputMetadata) GetDisplayNameMapping() isExplanationMetadata_OutputMetadata_DisplayNameMapping

func (*ExplanationMetadata_OutputMetadata) GetDisplayNameMappingKey

func (x *ExplanationMetadata_OutputMetadata) GetDisplayNameMappingKey() string

func (*ExplanationMetadata_OutputMetadata) GetIndexDisplayNameMapping

func (x *ExplanationMetadata_OutputMetadata) GetIndexDisplayNameMapping() *structpb.Value

func (*ExplanationMetadata_OutputMetadata) GetOutputTensorName

func (x *ExplanationMetadata_OutputMetadata) GetOutputTensorName() string

func (*ExplanationMetadata_OutputMetadata) ProtoMessage

func (*ExplanationMetadata_OutputMetadata) ProtoMessage()

func (*ExplanationMetadata_OutputMetadata) ProtoReflect

func (x *ExplanationMetadata_OutputMetadata) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_OutputMetadata) Reset

func (x *ExplanationMetadata_OutputMetadata) Reset()

func (*ExplanationMetadata_OutputMetadata) String

func (x *ExplanationMetadata_OutputMetadata) String() string

ExplanationMetadata_OutputMetadata_DisplayNameMappingKey

type ExplanationMetadata_OutputMetadata_DisplayNameMappingKey struct {
	// Specify a field name in the prediction to look for the display name.
	//
	// Use this if the prediction contains the display names for the outputs.
	//
	// The display names in the prediction must have the same shape of the
	// outputs, so that it can be located by
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// for a specific output.
	DisplayNameMappingKey string `protobuf:"bytes,2,opt,name=display_name_mapping_key,json=displayNameMappingKey,proto3,oneof"`
}

ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping

type ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping struct {
	// Static mapping between the index and display name.
	//
	// Use this if the outputs are a deterministic n-dimensional array, e.g. a
	// list of scores of all the classes in a pre-defined order for a
	// multi-classification Model. It's not feasible if the outputs are
	// non-deterministic, e.g. the Model produces top-k classes or sort the
	// outputs by their values.
	//
	// The shape of the value must be an n-dimensional array of strings. The
	// number of dimensions must match that of the outputs to be explained.
	// The
	// [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
	// is populated by locating in the mapping with
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
	IndexDisplayNameMapping *structpb.Value `protobuf:"bytes,1,opt,name=index_display_name_mapping,json=indexDisplayNameMapping,proto3,oneof"`
}

ExplanationParameters

type ExplanationParameters struct {

	// Types that are assignable to Method:
	//	*ExplanationParameters_SampledShapleyAttribution
	//	*ExplanationParameters_IntegratedGradientsAttribution
	//	*ExplanationParameters_XraiAttribution
	Method isExplanationParameters_Method `protobuf_oneof:"method"`
	// If populated, returns attributions for top K indices of outputs
	// (defaults to 1). Only applies to Models that predicts more than one outputs
	// (e,g, multi-class Models). When set to -1, returns explanations for all
	// outputs.
	TopK int32 `protobuf:"varint,4,opt,name=top_k,json=topK,proto3" json:"top_k,omitempty"`
	// If populated, only returns attributions that have
	// [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// contained in output_indices. It must be an ndarray of integers, with the
	// same shape of the output it's explaining.
	//
	// If not populated, returns attributions for
	// [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
	// outputs. If neither top_k nor output_indices is populated, returns the
	// argmax index of the outputs.
	//
	// Only applicable to Models that predict multiple outputs (e,g, multi-class
	// Models that predict multiple classes).
	OutputIndices *structpb.ListValue `protobuf:"bytes,5,opt,name=output_indices,json=outputIndices,proto3" json:"output_indices,omitempty"`
	// contains filtered or unexported fields
}

Parameters to configure explaining for Model's predictions.

func (*ExplanationParameters) Descriptor

func (*ExplanationParameters) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationParameters.ProtoReflect.Descriptor instead.

func (*ExplanationParameters) GetIntegratedGradientsAttribution

func (x *ExplanationParameters) GetIntegratedGradientsAttribution() *IntegratedGradientsAttribution

func (*ExplanationParameters) GetMethod

func (m *ExplanationParameters) GetMethod() isExplanationParameters_Method

func (*ExplanationParameters) GetOutputIndices

func (x *ExplanationParameters) GetOutputIndices() *structpb.ListValue

func (*ExplanationParameters) GetSampledShapleyAttribution

func (x *ExplanationParameters) GetSampledShapleyAttribution() *SampledShapleyAttribution

func (*ExplanationParameters) GetTopK

func (x *ExplanationParameters) GetTopK() int32

func (*ExplanationParameters) GetXraiAttribution

func (x *ExplanationParameters) GetXraiAttribution() *XraiAttribution

func (*ExplanationParameters) ProtoMessage

func (*ExplanationParameters) ProtoMessage()

func (*ExplanationParameters) ProtoReflect

func (x *ExplanationParameters) ProtoReflect() protoreflect.Message

func (*ExplanationParameters) Reset

func (x *ExplanationParameters) Reset()

func (*ExplanationParameters) String

func (x *ExplanationParameters) String() string

ExplanationParameters_IntegratedGradientsAttribution

type ExplanationParameters_IntegratedGradientsAttribution struct {
	// An attribution method that computes Aumann-Shapley values taking
	// advantage of the model's fully differentiable structure. Refer to this
	// paper for more details: https://arxiv.org/abs/1703.01365
	IntegratedGradientsAttribution *IntegratedGradientsAttribution `protobuf:"bytes,2,opt,name=integrated_gradients_attribution,json=integratedGradientsAttribution,proto3,oneof"`
}

ExplanationParameters_SampledShapleyAttribution

type ExplanationParameters_SampledShapleyAttribution struct {
	// An attribution method that approximates Shapley values for features that
	// contribute to the label being predicted. A sampling strategy is used to
	// approximate the value rather than considering all subsets of features.
	// Refer to this paper for model details: https://arxiv.org/abs/1306.4265.
	SampledShapleyAttribution *SampledShapleyAttribution `protobuf:"bytes,1,opt,name=sampled_shapley_attribution,json=sampledShapleyAttribution,proto3,oneof"`
}

ExplanationParameters_XraiAttribution

type ExplanationParameters_XraiAttribution struct {
	// An attribution method that redistributes Integrated Gradients
	// attribution to segmented regions, taking advantage of the model's fully
	// differentiable structure. Refer to this paper for
	// more details: https://arxiv.org/abs/1906.02825
	//
	// XRAI currently performs better on natural images, like a picture of a
	// house or an animal. If the images are taken in artificial environments,
	// like a lab or manufacturing line, or from diagnostic equipment, like
	// x-rays or quality-control cameras, use Integrated Gradients instead.
	XraiAttribution *XraiAttribution `protobuf:"bytes,3,opt,name=xrai_attribution,json=xraiAttribution,proto3,oneof"`
}

ExplanationSpec

type ExplanationSpec struct {

	// Required. Parameters that configure explaining of the Model's predictions.
	Parameters *ExplanationParameters `protobuf:"bytes,1,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// Optional. Metadata describing the Model's input and output for explanation.
	Metadata *ExplanationMetadata `protobuf:"bytes,2,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

Specification of Model explanation.

func (*ExplanationSpec) Descriptor

func (*ExplanationSpec) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationSpec.ProtoReflect.Descriptor instead.

func (*ExplanationSpec) GetMetadata

func (x *ExplanationSpec) GetMetadata() *ExplanationMetadata

func (*ExplanationSpec) GetParameters

func (x *ExplanationSpec) GetParameters() *ExplanationParameters

func (*ExplanationSpec) ProtoMessage

func (*ExplanationSpec) ProtoMessage()

func (*ExplanationSpec) ProtoReflect

func (x *ExplanationSpec) ProtoReflect() protoreflect.Message

func (*ExplanationSpec) Reset

func (x *ExplanationSpec) Reset()

func (*ExplanationSpec) String

func (x *ExplanationSpec) String() string

ExplanationSpecOverride

type ExplanationSpecOverride struct {

	// The parameters to be overridden. Note that the
	// attribution method cannot be changed. If not specified,
	// no parameter is overridden.
	Parameters *ExplanationParameters `protobuf:"bytes,1,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// The metadata to be overridden. If not specified, no metadata is overridden.
	Metadata *ExplanationMetadataOverride `protobuf:"bytes,2,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// The example-based explanations parameter overrides.
	ExamplesOverride *ExamplesOverride `protobuf:"bytes,3,opt,name=examples_override,json=examplesOverride,proto3" json:"examples_override,omitempty"`
	// contains filtered or unexported fields
}

The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.

func (*ExplanationSpecOverride) Descriptor

func (*ExplanationSpecOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationSpecOverride.ProtoReflect.Descriptor instead.

func (*ExplanationSpecOverride) GetExamplesOverride

func (x *ExplanationSpecOverride) GetExamplesOverride() *ExamplesOverride

func (*ExplanationSpecOverride) GetMetadata

func (x *ExplanationSpecOverride) GetMetadata() *ExplanationMetadataOverride

func (*ExplanationSpecOverride) GetParameters

func (x *ExplanationSpecOverride) GetParameters() *ExplanationParameters

func (*ExplanationSpecOverride) ProtoMessage

func (*ExplanationSpecOverride) ProtoMessage()

func (*ExplanationSpecOverride) ProtoReflect

func (x *ExplanationSpecOverride) ProtoReflect() protoreflect.Message

func (*ExplanationSpecOverride) Reset

func (x *ExplanationSpecOverride) Reset()

func (*ExplanationSpecOverride) String

func (x *ExplanationSpecOverride) String() string

ExportDataConfig

type ExportDataConfig struct {

	// The destination of the output.
	//
	// Types that are assignable to Destination:
	//	*ExportDataConfig_GcsDestination
	Destination isExportDataConfig_Destination `protobuf_oneof:"destination"`
	// The instructions how the export data should be split between the
	// training, validation and test sets.
	//
	// Types that are assignable to Split:
	//	*ExportDataConfig_FractionSplit
	Split isExportDataConfig_Split `protobuf_oneof:"split"`
	// An expression for filtering what part of the Dataset is to be exported.
	// Only Annotations that match this filter will be exported. The filter syntax
	// is the same as in
	// [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
	AnnotationsFilter string `protobuf:"bytes,2,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
	// contains filtered or unexported fields
}

Describes what part of the Dataset is to be exported, the destination of the export and how to export.

func (*ExportDataConfig) Descriptor

func (*ExportDataConfig) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataConfig.ProtoReflect.Descriptor instead.

func (*ExportDataConfig) GetAnnotationsFilter

func (x *ExportDataConfig) GetAnnotationsFilter() string

func (*ExportDataConfig) GetDestination

func (m *ExportDataConfig) GetDestination() isExportDataConfig_Destination

func (*ExportDataConfig) GetFractionSplit

func (x *ExportDataConfig) GetFractionSplit() *ExportFractionSplit

func (*ExportDataConfig) GetGcsDestination

func (x *ExportDataConfig) GetGcsDestination() *GcsDestination

func (*ExportDataConfig) GetSplit

func (m *ExportDataConfig) GetSplit() isExportDataConfig_Split

func (*ExportDataConfig) ProtoMessage

func (*ExportDataConfig) ProtoMessage()

func (*ExportDataConfig) ProtoReflect

func (x *ExportDataConfig) ProtoReflect() protoreflect.Message

func (*ExportDataConfig) Reset

func (x *ExportDataConfig) Reset()

func (*ExportDataConfig) String

func (x *ExportDataConfig) String() string

ExportDataConfig_FractionSplit

type ExportDataConfig_FractionSplit struct {
	// Split based on fractions defining the size of each set.
	FractionSplit *ExportFractionSplit `protobuf:"bytes,5,opt,name=fraction_split,json=fractionSplit,proto3,oneof"`
}

ExportDataConfig_GcsDestination

type ExportDataConfig_GcsDestination struct {
	// The Google Cloud Storage location where the output is to be written to.
	// In the given directory a new directory will be created with name:
	// `export-data-

ExportDataOperationMetadata

type ExportDataOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// A Google Cloud Storage directory which path ends with '/'. The exported
	// data is stored in the directory.
	GcsOutputDirectory string `protobuf:"bytes,2,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3" json:"gcs_output_directory,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].

func (*ExportDataOperationMetadata) Descriptor

func (*ExportDataOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataOperationMetadata.ProtoReflect.Descriptor instead.

func (*ExportDataOperationMetadata) GetGcsOutputDirectory

func (x *ExportDataOperationMetadata) GetGcsOutputDirectory() string

func (*ExportDataOperationMetadata) GetGenericMetadata

func (x *ExportDataOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ExportDataOperationMetadata) ProtoMessage

func (*ExportDataOperationMetadata) ProtoMessage()

func (*ExportDataOperationMetadata) ProtoReflect

func (x *ExportDataOperationMetadata) ProtoReflect() protoreflect.Message

func (*ExportDataOperationMetadata) Reset

func (x *ExportDataOperationMetadata) Reset()

func (*ExportDataOperationMetadata) String

func (x *ExportDataOperationMetadata) String() string

ExportDataRequest

type ExportDataRequest struct {

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired output location.
	ExportConfig *ExportDataConfig `protobuf:"bytes,2,opt,name=export_config,json=exportConfig,proto3" json:"export_config,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].

func (*ExportDataRequest) Descriptor

func (*ExportDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataRequest.ProtoReflect.Descriptor instead.

func (*ExportDataRequest) GetExportConfig

func (x *ExportDataRequest) GetExportConfig() *ExportDataConfig

func (*ExportDataRequest) GetName

func (x *ExportDataRequest) GetName() string

func (*ExportDataRequest) ProtoMessage

func (*ExportDataRequest) ProtoMessage()

func (*ExportDataRequest) ProtoReflect

func (x *ExportDataRequest) ProtoReflect() protoreflect.Message

func (*ExportDataRequest) Reset

func (x *ExportDataRequest) Reset()

func (*ExportDataRequest) String

func (x *ExportDataRequest) String() string

ExportDataResponse

type ExportDataResponse struct {

	// All of the files that are exported in this export operation.
	ExportedFiles []string `protobuf:"bytes,1,rep,name=exported_files,json=exportedFiles,proto3" json:"exported_files,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].

func (*ExportDataResponse) Descriptor

func (*ExportDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataResponse.ProtoReflect.Descriptor instead.

func (*ExportDataResponse) GetExportedFiles

func (x *ExportDataResponse) GetExportedFiles() []string

func (*ExportDataResponse) ProtoMessage

func (*ExportDataResponse) ProtoMessage()

func (*ExportDataResponse) ProtoReflect

func (x *ExportDataResponse) ProtoReflect() protoreflect.Message

func (*ExportDataResponse) Reset

func (x *ExportDataResponse) Reset()

func (*ExportDataResponse) String

func (x *ExportDataResponse) String() string

ExportFeatureValuesOperationMetadata

type ExportFeatureValuesOperationMetadata struct {

	// Operation metadata for Featurestore export Feature values.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that exports Features values.

func (*ExportFeatureValuesOperationMetadata) Descriptor

func (*ExportFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesOperationMetadata) GetGenericMetadata

func (x *ExportFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ExportFeatureValuesOperationMetadata) ProtoMessage

func (*ExportFeatureValuesOperationMetadata) ProtoMessage()

func (*ExportFeatureValuesOperationMetadata) ProtoReflect

func (x *ExportFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesOperationMetadata) Reset

func (x *ExportFeatureValuesOperationMetadata) Reset()

func (*ExportFeatureValuesOperationMetadata) String

func (x *ExportFeatureValuesOperationMetadata) String() string

ExportFeatureValuesRequest

type ExportFeatureValuesRequest struct {

	// Required. The mode in which Feature values are exported.
	//
	// Types that are assignable to Mode:
	//	*ExportFeatureValuesRequest_SnapshotExport_
	//	*ExportFeatureValuesRequest_FullExport_
	Mode isExportFeatureValuesRequest_Mode `protobuf_oneof:"mode"`
	// Required. The resource name of the EntityType from which to export Feature
	// values. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. Specifies destination location and format.
	Destination *FeatureValueDestination `protobuf:"bytes,4,opt,name=destination,proto3" json:"destination,omitempty"`
	// Required. Selects Features to export values of.
	FeatureSelector *FeatureSelector `protobuf:"bytes,5,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// Per-Feature export settings.
	Settings []*DestinationFeatureSetting `protobuf:"bytes,6,rep,name=settings,proto3" json:"settings,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].

func (*ExportFeatureValuesRequest) Descriptor

func (*ExportFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesRequest) GetDestination

func (x *ExportFeatureValuesRequest) GetDestination() *FeatureValueDestination

func (*ExportFeatureValuesRequest) GetEntityType

func (x *ExportFeatureValuesRequest) GetEntityType() string

func (*ExportFeatureValuesRequest) GetFeatureSelector

func (x *ExportFeatureValuesRequest) GetFeatureSelector() *FeatureSelector

func (*ExportFeatureValuesRequest) GetFullExport

func (x *ExportFeatureValuesRequest) GetFullExport() *ExportFeatureValuesRequest_FullExport

func (*ExportFeatureValuesRequest) GetMode

func (m *ExportFeatureValuesRequest) GetMode() isExportFeatureValuesRequest_Mode

func (*ExportFeatureValuesRequest) GetSettings

func (x *ExportFeatureValuesRequest) GetSettings() []*DestinationFeatureSetting

func (*ExportFeatureValuesRequest) GetSnapshotExport

func (x *ExportFeatureValuesRequest) GetSnapshotExport() *ExportFeatureValuesRequest_SnapshotExport

func (*ExportFeatureValuesRequest) ProtoMessage

func (*ExportFeatureValuesRequest) ProtoMessage()

func (*ExportFeatureValuesRequest) ProtoReflect

func (x *ExportFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesRequest) Reset

func (x *ExportFeatureValuesRequest) Reset()

func (*ExportFeatureValuesRequest) String

func (x *ExportFeatureValuesRequest) String() string

ExportFeatureValuesRequest_FullExport

type ExportFeatureValuesRequest_FullExport struct {

	// Excludes Feature values with feature generation timestamp before this
	// timestamp. If not set, retrieve oldest values kept in Feature Store.
	// Timestamp, if present, must not have higher than millisecond precision.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Exports Feature values as of this timestamp. If not set,
	// retrieve values as of now. Timestamp, if present, must not have higher
	// than millisecond precision.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

Describes exporting all historical Feature values of all entities of the EntityType between [start_time, end_time].

func (*ExportFeatureValuesRequest_FullExport) Descriptor

func (*ExportFeatureValuesRequest_FullExport) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesRequest_FullExport.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesRequest_FullExport) GetEndTime

func (x *ExportFeatureValuesRequest_FullExport) GetEndTime() *timestamppb.Timestamp

func (*ExportFeatureValuesRequest_FullExport) GetStartTime

func (x *ExportFeatureValuesRequest_FullExport) GetStartTime() *timestamppb.Timestamp

func (*ExportFeatureValuesRequest_FullExport) ProtoMessage

func (*ExportFeatureValuesRequest_FullExport) ProtoMessage()

func (*ExportFeatureValuesRequest_FullExport) ProtoReflect

func (x *ExportFeatureValuesRequest_FullExport) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesRequest_FullExport) Reset

func (x *ExportFeatureValuesRequest_FullExport) Reset()

func (*ExportFeatureValuesRequest_FullExport) String

func (x *ExportFeatureValuesRequest_FullExport) String() string

ExportFeatureValuesRequest_FullExport_

type ExportFeatureValuesRequest_FullExport_ struct {
	// Exports all historical values of all entities of the EntityType within a
	// time range
	FullExport *ExportFeatureValuesRequest_FullExport `protobuf:"bytes,7,opt,name=full_export,json=fullExport,proto3,oneof"`
}

ExportFeatureValuesRequest_SnapshotExport

type ExportFeatureValuesRequest_SnapshotExport struct {

	// Exports Feature values as of this timestamp. If not set,
	// retrieve values as of now. Timestamp, if present, must not have higher
	// than millisecond precision.
	SnapshotTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=snapshot_time,json=snapshotTime,proto3" json:"snapshot_time,omitempty"`
	// Excludes Feature values with feature generation timestamp before this
	// timestamp. If not set, retrieve oldest values kept in Feature Store.
	// Timestamp, if present, must not have higher than millisecond precision.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// contains filtered or unexported fields
}

Describes exporting the latest Feature values of all entities of the EntityType between [start_time, snapshot_time].

func (*ExportFeatureValuesRequest_SnapshotExport) Descriptor

func (*ExportFeatureValuesRequest_SnapshotExport) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesRequest_SnapshotExport.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesRequest_SnapshotExport) GetSnapshotTime

func (x *ExportFeatureValuesRequest_SnapshotExport) GetSnapshotTime() *timestamppb.Timestamp

func (*ExportFeatureValuesRequest_SnapshotExport) GetStartTime

func (x *ExportFeatureValuesRequest_SnapshotExport) GetStartTime() *timestamppb.Timestamp

func (*ExportFeatureValuesRequest_SnapshotExport) ProtoMessage

func (*ExportFeatureValuesRequest_SnapshotExport) ProtoMessage()

func (*ExportFeatureValuesRequest_SnapshotExport) ProtoReflect

func (x *ExportFeatureValuesRequest_SnapshotExport) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesRequest_SnapshotExport) Reset

func (x *ExportFeatureValuesRequest_SnapshotExport) Reset()

func (*ExportFeatureValuesRequest_SnapshotExport) String

func (x *ExportFeatureValuesRequest_SnapshotExport) String() string

ExportFeatureValuesRequest_SnapshotExport_

type ExportFeatureValuesRequest_SnapshotExport_ struct {
	// Exports the latest Feature values of all entities of the EntityType
	// within a time range.
	SnapshotExport *ExportFeatureValuesRequest_SnapshotExport `protobuf:"bytes,3,opt,name=snapshot_export,json=snapshotExport,proto3,oneof"`
}

ExportFeatureValuesResponse

type ExportFeatureValuesResponse struct {
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].

func (*ExportFeatureValuesResponse) Descriptor

func (*ExportFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesResponse) ProtoMessage

func (*ExportFeatureValuesResponse) ProtoMessage()

func (*ExportFeatureValuesResponse) ProtoReflect

func (x *ExportFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesResponse) Reset

func (x *ExportFeatureValuesResponse) Reset()

func (*ExportFeatureValuesResponse) String

func (x *ExportFeatureValuesResponse) String() string

ExportFractionSplit

type ExportFractionSplit struct {

	// The fraction of the input data that is to be used to train the Model.
	TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
	// The fraction of the input data that is to be used to validate the Model.
	ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
	// The fraction of the input data that is to be used to evaluate the Model.
	TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
	// contains filtered or unexported fields
}

Assigns the input data to training, validation, and test sets as per the given fractions. Any of training_fraction, validation_fraction and test_fraction may optionally be provided, they must sum to up to 1. If the provided ones sum to less than 1, the remainder is assigned to sets as decided by Vertex AI. If none of the fractions are set, by default roughly 80% of data is used for training, 10% for validation, and 10% for test.

func (*ExportFractionSplit) Descriptor

func (*ExportFractionSplit) Descriptor() ([]byte, []int)

Deprecated: Use ExportFractionSplit.ProtoReflect.Descriptor instead.

func (*ExportFractionSplit) GetTestFraction

func (x *ExportFractionSplit) GetTestFraction() float64

func (*ExportFractionSplit) GetTrainingFraction

func (x *ExportFractionSplit) GetTrainingFraction() float64

func (*ExportFractionSplit) GetValidationFraction

func (x *ExportFractionSplit) GetValidationFraction() float64

func (*ExportFractionSplit) ProtoMessage

func (*ExportFractionSplit) ProtoMessage()

func (*ExportFractionSplit) ProtoReflect

func (x *ExportFractionSplit) ProtoReflect() protoreflect.Message

func (*ExportFractionSplit) Reset

func (x *ExportFractionSplit) Reset()

func (*ExportFractionSplit) String

func (x *ExportFractionSplit) String() string

ExportModelOperationMetadata

type ExportModelOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Output only. Information further describing the output of this Model
	// export.
	OutputInfo *ExportModelOperationMetadata_OutputInfo `protobuf:"bytes,2,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"`
	// contains filtered or unexported fields
}

Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.

func (*ExportModelOperationMetadata) Descriptor

func (*ExportModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*ExportModelOperationMetadata) GetGenericMetadata

func (x *ExportModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ExportModelOperationMetadata) GetOutputInfo

func (x *ExportModelOperationMetadata) GetOutputInfo() *ExportModelOperationMetadata_OutputInfo

func (*ExportModelOperationMetadata) ProtoMessage

func (*ExportModelOperationMetadata) ProtoMessage()

func (*ExportModelOperationMetadata) ProtoReflect

func (x *ExportModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*ExportModelOperationMetadata) Reset

func (x *ExportModelOperationMetadata) Reset()

func (*ExportModelOperationMetadata) String

func (x *ExportModelOperationMetadata) String() string

ExportModelOperationMetadata_OutputInfo

type ExportModelOperationMetadata_OutputInfo struct {

	// Output only. If the Model artifact is being exported to Google Cloud
	// Storage this is the full path of the directory created, into which the
	// Model files are being written to.
	ArtifactOutputUri string `protobuf:"bytes,2,opt,name=artifact_output_uri,json=artifactOutputUri,proto3" json:"artifact_output_uri,omitempty"`
	// Output only. If the Model image is being exported to Google Container
	// Registry or Artifact Registry this is the full path of the image created.
	ImageOutputUri string `protobuf:"bytes,3,opt,name=image_output_uri,json=imageOutputUri,proto3" json:"image_output_uri,omitempty"`
	// contains filtered or unexported fields
}

Further describes the output of the ExportModel. Supplements [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig].

func (*ExportModelOperationMetadata_OutputInfo) Descriptor

func (*ExportModelOperationMetadata_OutputInfo) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelOperationMetadata_OutputInfo.ProtoReflect.Descriptor instead.

func (*ExportModelOperationMetadata_OutputInfo) GetArtifactOutputUri

func (x *ExportModelOperationMetadata_OutputInfo) GetArtifactOutputUri() string

func (*ExportModelOperationMetadata_OutputInfo) GetImageOutputUri

func (x *ExportModelOperationMetadata_OutputInfo) GetImageOutputUri() string

func (*ExportModelOperationMetadata_OutputInfo) ProtoMessage

func (*ExportModelOperationMetadata_OutputInfo) ProtoMessage()

func (*ExportModelOperationMetadata_OutputInfo) ProtoReflect

func (x *ExportModelOperationMetadata_OutputInfo) ProtoReflect() protoreflect.Message

func (*ExportModelOperationMetadata_OutputInfo) Reset

func (x *ExportModelOperationMetadata_OutputInfo) Reset()

func (*ExportModelOperationMetadata_OutputInfo) String

func (x *ExportModelOperationMetadata_OutputInfo) String() string

ExportModelRequest

type ExportModelRequest struct {

	// Required. The resource name of the Model to export.
	// The resource name may contain version id or version alias to specify the
	// version, if no version is specified, the default version will be exported.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired output location and configuration.
	OutputConfig *ExportModelRequest_OutputConfig `protobuf:"bytes,2,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].

func (*ExportModelRequest) Descriptor

func (*ExportModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelRequest.ProtoReflect.Descriptor instead.

func (*ExportModelRequest) GetName

func (x *ExportModelRequest) GetName() string

func (*ExportModelRequest) GetOutputConfig

func (x *ExportModelRequest) GetOutputConfig() *ExportModelRequest_OutputConfig

func (*ExportModelRequest) ProtoMessage

func (*ExportModelRequest) ProtoMessage()

func (*ExportModelRequest) ProtoReflect

func (x *ExportModelRequest) ProtoReflect() protoreflect.Message

func (*ExportModelRequest) Reset

func (x *ExportModelRequest) Reset()

func (*ExportModelRequest) String

func (x *ExportModelRequest) String() string

ExportModelRequest_OutputConfig

type ExportModelRequest_OutputConfig struct {

	// The ID of the format in which the Model must be exported. Each Model
	// lists the [export formats it
	// supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
	// no value is provided here, then the first from the list of the Model's
	// supported formats is used by default.
	ExportFormatId string `protobuf:"bytes,1,opt,name=export_format_id,json=exportFormatId,proto3" json:"export_format_id,omitempty"`
	// The Cloud Storage location where the Model artifact is to be
	// written to. Under the directory given as the destination a new one with
	// name "`model-export-

Output configuration for the Model export.

func (*ExportModelRequest_OutputConfig) Descriptor

func (*ExportModelRequest_OutputConfig) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelRequest_OutputConfig.ProtoReflect.Descriptor instead.

func (*ExportModelRequest_OutputConfig) GetArtifactDestination

func (x *ExportModelRequest_OutputConfig) GetArtifactDestination() *GcsDestination

func (*ExportModelRequest_OutputConfig) GetExportFormatId

func (x *ExportModelRequest_OutputConfig) GetExportFormatId() string

func (*ExportModelRequest_OutputConfig) GetImageDestination

func (x *ExportModelRequest_OutputConfig) GetImageDestination() *ContainerRegistryDestination

func (*ExportModelRequest_OutputConfig) ProtoMessage

func (*ExportModelRequest_OutputConfig) ProtoMessage()

func (*ExportModelRequest_OutputConfig) ProtoReflect

func (x *ExportModelRequest_OutputConfig) ProtoReflect() protoreflect.Message

func (*ExportModelRequest_OutputConfig) Reset

func (x *ExportModelRequest_OutputConfig) Reset()

func (*ExportModelRequest_OutputConfig) String

func (x *ExportModelRequest_OutputConfig) String() string

ExportModelResponse

type ExportModelResponse struct {
	// contains filtered or unexported fields
}

Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.

func (*ExportModelResponse) Descriptor

func (*ExportModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelResponse.ProtoReflect.Descriptor instead.

func (*ExportModelResponse) ProtoMessage

func (*ExportModelResponse) ProtoMessage()

func (*ExportModelResponse) ProtoReflect

func (x *ExportModelResponse) ProtoReflect() protoreflect.Message

func (*ExportModelResponse) Reset

func (x *ExportModelResponse) Reset()

func (*ExportModelResponse) String

func (x *ExportModelResponse) String() string

ExportTensorboardTimeSeriesDataRequest

type ExportTensorboardTimeSeriesDataRequest struct {

	// Required. The resource name of the TensorboardTimeSeries to export data
	// from. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TensorboardTimeSeries string `protobuf:"bytes,1,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// Exports the TensorboardTimeSeries' data that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of data points to return per page.
	// The default page_size is 1000. Values must be between 1 and 10000.
	// Values above 10000 are coerced to 10000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the TensorboardTimeSeries' data.
	// By default, TensorboardTimeSeries' data is returned in a pseudo random
	// order.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].

func (*ExportTensorboardTimeSeriesDataRequest) Descriptor

func (*ExportTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.

func (*ExportTensorboardTimeSeriesDataRequest) GetFilter

func (x *ExportTensorboardTimeSeriesDataRequest) GetFilter() string

func (*ExportTensorboardTimeSeriesDataRequest) GetOrderBy

func (x *ExportTensorboardTimeSeriesDataRequest) GetOrderBy() string

func (*ExportTensorboardTimeSeriesDataRequest) GetPageSize

func (x *ExportTensorboardTimeSeriesDataRequest) GetPageSize() int32

func (*ExportTensorboardTimeSeriesDataRequest) GetPageToken

func (x *ExportTensorboardTimeSeriesDataRequest) GetPageToken() string

func (*ExportTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries

func (x *ExportTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string

func (*ExportTensorboardTimeSeriesDataRequest) ProtoMessage

func (*ExportTensorboardTimeSeriesDataRequest) ProtoMessage()

func (*ExportTensorboardTimeSeriesDataRequest) ProtoReflect

func (x *ExportTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message

func (*ExportTensorboardTimeSeriesDataRequest) Reset

func (x *ExportTensorboardTimeSeriesDataRequest) Reset()

func (*ExportTensorboardTimeSeriesDataRequest) String

func (x *ExportTensorboardTimeSeriesDataRequest) String() string

ExportTensorboardTimeSeriesDataResponse

type ExportTensorboardTimeSeriesDataResponse struct {

	// The returned time series data points.
	TimeSeriesDataPoints []*TimeSeriesDataPoint `protobuf:"bytes,1,rep,name=time_series_data_points,json=timeSeriesDataPoints,proto3" json:"time_series_data_points,omitempty"`
	// A token, which can be sent as
	// [page_token][google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].

func (*ExportTensorboardTimeSeriesDataResponse) Descriptor

func (*ExportTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.

func (*ExportTensorboardTimeSeriesDataResponse) GetNextPageToken

func (x *ExportTensorboardTimeSeriesDataResponse) GetNextPageToken() string

func (*ExportTensorboardTimeSeriesDataResponse) GetTimeSeriesDataPoints

func (x *ExportTensorboardTimeSeriesDataResponse) GetTimeSeriesDataPoints() []*TimeSeriesDataPoint

func (*ExportTensorboardTimeSeriesDataResponse) ProtoMessage

func (*ExportTensorboardTimeSeriesDataResponse) ProtoMessage()

func (*ExportTensorboardTimeSeriesDataResponse) ProtoReflect

func (x *ExportTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message

func (*ExportTensorboardTimeSeriesDataResponse) Reset

func (x *ExportTensorboardTimeSeriesDataResponse) Reset()

func (*ExportTensorboardTimeSeriesDataResponse) String

func (x *ExportTensorboardTimeSeriesDataResponse) String() string

Feature

type Feature struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`

	ValueType Feature_ValueType "" /* 139 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`

	DisableMonitoring bool `protobuf:"varint,12,opt,name=disable_monitoring,json=disableMonitoring,proto3" json:"disable_monitoring,omitempty"`

	MonitoringStatsAnomalies []*Feature_MonitoringStatsAnomaly "" /* 136 byte string literal not displayed */

}

Feature Metadata information that describes an attribute of an entity type. For example, apple is an entity type, and color is a feature that describes apple.

func (*Feature) Descriptor

func (*Feature) Descriptor() ([]byte, []int)

Deprecated: Use Feature.ProtoReflect.Descriptor instead.

func (*Feature) GetCreateTime

func (x *Feature) GetCreateTime() *timestamppb.Timestamp

func (*Feature) GetDescription

func (x *Feature) GetDescription() string

func (*Feature) GetDisableMonitoring

func (x *Feature) GetDisableMonitoring() bool

func (*Feature) GetEtag

func (x *Feature) GetEtag() string

func (*Feature) GetLabels

func (x *Feature) GetLabels() map[string]string

func (*Feature) GetMonitoringStatsAnomalies

func (x *Feature) GetMonitoringStatsAnomalies() []*Feature_MonitoringStatsAnomaly

func (*Feature) GetName

func (x *Feature) GetName() string

func (*Feature) GetUpdateTime

func (x *Feature) GetUpdateTime() *timestamppb.Timestamp

func (*Feature) GetValueType

func (x *Feature) GetValueType() Feature_ValueType

func (*Feature) ProtoMessage

func (*Feature) ProtoMessage()

func (*Feature) ProtoReflect

func (x *Feature) ProtoReflect() protoreflect.Message

func (*Feature) Reset

func (x *Feature) Reset()

func (*Feature) String

func (x *Feature) String() string

FeatureNoiseSigma

type FeatureNoiseSigma struct {

	// Noise sigma per feature. No noise is added to features that are not set.
	NoiseSigma []*FeatureNoiseSigma_NoiseSigmaForFeature `protobuf:"bytes,1,rep,name=noise_sigma,json=noiseSigma,proto3" json:"noise_sigma,omitempty"`
	// contains filtered or unexported fields
}

Noise sigma by features. Noise sigma represents the standard deviation of the gaussian kernel that will be used to add noise to interpolated inputs prior to computing gradients.

func (*FeatureNoiseSigma) Descriptor

func (*FeatureNoiseSigma) Descriptor() ([]byte, []int)

Deprecated: Use FeatureNoiseSigma.ProtoReflect.Descriptor instead.

func (*FeatureNoiseSigma) GetNoiseSigma

func (x *FeatureNoiseSigma) GetNoiseSigma() []*FeatureNoiseSigma_NoiseSigmaForFeature

func (*FeatureNoiseSigma) ProtoMessage

func (*FeatureNoiseSigma) ProtoMessage()

func (*FeatureNoiseSigma) ProtoReflect

func (x *FeatureNoiseSigma) ProtoReflect() protoreflect.Message

func (*FeatureNoiseSigma) Reset

func (x *FeatureNoiseSigma) Reset()

func (*FeatureNoiseSigma) String

func (x *FeatureNoiseSigma) String() string

FeatureNoiseSigma_NoiseSigmaForFeature

type FeatureNoiseSigma_NoiseSigmaForFeature struct {

	// The name of the input feature for which noise sigma is provided. The
	// features are defined in
	// [explanation metadata
	// inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// This represents the standard deviation of the Gaussian kernel that will
	// be used to add noise to the feature prior to computing gradients. Similar
	// to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
	// but represents the noise added to the current feature. Defaults to 0.1.
	Sigma float32 `protobuf:"fixed32,2,opt,name=sigma,proto3" json:"sigma,omitempty"`
	// contains filtered or unexported fields
}

Noise sigma for a single feature.

func (*FeatureNoiseSigma_NoiseSigmaForFeature) Descriptor

func (*FeatureNoiseSigma_NoiseSigmaForFeature) Descriptor() ([]byte, []int)

Deprecated: Use FeatureNoiseSigma_NoiseSigmaForFeature.ProtoReflect.Descriptor instead.

func (*FeatureNoiseSigma_NoiseSigmaForFeature) GetName

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) GetName() string

func (*FeatureNoiseSigma_NoiseSigmaForFeature) GetSigma

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) GetSigma() float32

func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoMessage

func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoMessage()

func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoReflect

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) ProtoReflect() protoreflect.Message

func (*FeatureNoiseSigma_NoiseSigmaForFeature) Reset

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) Reset()

func (*FeatureNoiseSigma_NoiseSigmaForFeature) String

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) String() string

FeatureSelector

type FeatureSelector struct {

	// Required. Matches Features based on ID.
	IdMatcher *IdMatcher `protobuf:"bytes,1,opt,name=id_matcher,json=idMatcher,proto3" json:"id_matcher,omitempty"`
	// contains filtered or unexported fields
}

Selector for Features of an EntityType.

func (*FeatureSelector) Descriptor

func (*FeatureSelector) Descriptor() ([]byte, []int)

Deprecated: Use FeatureSelector.ProtoReflect.Descriptor instead.

func (*FeatureSelector) GetIdMatcher

func (x *FeatureSelector) GetIdMatcher() *IdMatcher

func (*FeatureSelector) ProtoMessage

func (*FeatureSelector) ProtoMessage()

func (*FeatureSelector) ProtoReflect

func (x *FeatureSelector) ProtoReflect() protoreflect.Message

func (*FeatureSelector) Reset

func (x *FeatureSelector) Reset()

func (*FeatureSelector) String

func (x *FeatureSelector) String() string

FeatureStatsAnomaly

type FeatureStatsAnomaly struct {
	Score float64 `protobuf:"fixed64,1,opt,name=score,proto3" json:"score,omitempty"`

	StatsUri string `protobuf:"bytes,3,opt,name=stats_uri,json=statsUri,proto3" json:"stats_uri,omitempty"`

	AnomalyUri string `protobuf:"bytes,4,opt,name=anomaly_uri,json=anomalyUri,proto3" json:"anomaly_uri,omitempty"`

	DistributionDeviation float64 `protobuf:"fixed64,5,opt,name=distribution_deviation,json=distributionDeviation,proto3" json:"distribution_deviation,omitempty"`

	AnomalyDetectionThreshold float64 "" /* 140 byte string literal not displayed */

	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

}

Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display.

func (*FeatureStatsAnomaly) Descriptor

func (*FeatureStatsAnomaly) Descriptor() ([]byte, []int)

Deprecated: Use FeatureStatsAnomaly.ProtoReflect.Descriptor instead.

func (*FeatureStatsAnomaly) GetAnomalyDetectionThreshold

func (x *FeatureStatsAnomaly) GetAnomalyDetectionThreshold() float64

func (*FeatureStatsAnomaly) GetAnomalyUri

func (x *FeatureStatsAnomaly) GetAnomalyUri() string

func (*FeatureStatsAnomaly) GetDistributionDeviation

func (x *FeatureStatsAnomaly) GetDistributionDeviation() float64

func (*FeatureStatsAnomaly) GetEndTime

func (x *FeatureStatsAnomaly) GetEndTime() *timestamppb.Timestamp

func (*FeatureStatsAnomaly) GetScore

func (x *FeatureStatsAnomaly) GetScore() float64

func (*FeatureStatsAnomaly) GetStartTime

func (x *FeatureStatsAnomaly) GetStartTime() *timestamppb.Timestamp

func (*FeatureStatsAnomaly) GetStatsUri

func (x *FeatureStatsAnomaly) GetStatsUri() string

func (*FeatureStatsAnomaly) ProtoMessage

func (*FeatureStatsAnomaly) ProtoMessage()

func (*FeatureStatsAnomaly) ProtoReflect

func (x *FeatureStatsAnomaly) ProtoReflect() protoreflect.Message

func (*FeatureStatsAnomaly) Reset

func (x *FeatureStatsAnomaly) Reset()

func (*FeatureStatsAnomaly) String

func (x *FeatureStatsAnomaly) String() string

FeatureValue

type FeatureValue struct {

	// Value for the feature.
	//
	// Types that are assignable to Value:
	//	*FeatureValue_BoolValue
	//	*FeatureValue_DoubleValue
	//	*FeatureValue_Int64Value
	//	*FeatureValue_StringValue
	//	*FeatureValue_BoolArrayValue
	//	*FeatureValue_DoubleArrayValue
	//	*FeatureValue_Int64ArrayValue
	//	*FeatureValue_StringArrayValue
	//	*FeatureValue_BytesValue
	Value isFeatureValue_Value `protobuf_oneof:"value"`
	// Metadata of feature value.
	Metadata *FeatureValue_Metadata `protobuf:"bytes,14,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

Value for a feature.

func (*FeatureValue) Descriptor

func (*FeatureValue) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValue.ProtoReflect.Descriptor instead.

func (*FeatureValue) GetBoolArrayValue

func (x *FeatureValue) GetBoolArrayValue() *BoolArray

func (*FeatureValue) GetBoolValue

func (x *FeatureValue) GetBoolValue() bool

func (*FeatureValue) GetBytesValue

func (x *FeatureValue) GetBytesValue() []byte

func (*FeatureValue) GetDoubleArrayValue

func (x *FeatureValue) GetDoubleArrayValue() *DoubleArray

func (*FeatureValue) GetDoubleValue

func (x *FeatureValue) GetDoubleValue() float64

func (*FeatureValue) GetInt64ArrayValue

func (x *FeatureValue) GetInt64ArrayValue() *Int64Array

func (*FeatureValue) GetInt64Value

func (x *FeatureValue) GetInt64Value() int64

func (*FeatureValue) GetMetadata

func (x *FeatureValue) GetMetadata() *FeatureValue_Metadata

func (*FeatureValue) GetStringArrayValue

func (x *FeatureValue) GetStringArrayValue() *StringArray

func (*FeatureValue) GetStringValue

func (x *FeatureValue) GetStringValue() string

func (*FeatureValue) GetValue

func (m *FeatureValue) GetValue() isFeatureValue_Value

func (*FeatureValue) ProtoMessage

func (*FeatureValue) ProtoMessage()

func (*FeatureValue) ProtoReflect

func (x *FeatureValue) ProtoReflect() protoreflect.Message

func (*FeatureValue) Reset

func (x *FeatureValue) Reset()

func (*FeatureValue) String

func (x *FeatureValue) String() string

FeatureValueDestination

type FeatureValueDestination struct {

	// Types that are assignable to Destination:
	//	*FeatureValueDestination_BigqueryDestination
	//	*FeatureValueDestination_TfrecordDestination
	//	*FeatureValueDestination_CsvDestination
	Destination isFeatureValueDestination_Destination `protobuf_oneof:"destination"`
	// contains filtered or unexported fields
}

A destination location for Feature values and format.

func (*FeatureValueDestination) Descriptor

func (*FeatureValueDestination) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValueDestination.ProtoReflect.Descriptor instead.

func (*FeatureValueDestination) GetBigqueryDestination

func (x *FeatureValueDestination) GetBigqueryDestination() *BigQueryDestination

func (*FeatureValueDestination) GetCsvDestination

func (x *FeatureValueDestination) GetCsvDestination() *CsvDestination

func (*FeatureValueDestination) GetDestination

func (m *FeatureValueDestination) GetDestination() isFeatureValueDestination_Destination

func (*FeatureValueDestination) GetTfrecordDestination

func (x *FeatureValueDestination) GetTfrecordDestination() *TFRecordDestination

func (*FeatureValueDestination) ProtoMessage

func (*FeatureValueDestination) ProtoMessage()

func (*FeatureValueDestination) ProtoReflect

func (x *FeatureValueDestination) ProtoReflect() protoreflect.Message

func (*FeatureValueDestination) Reset

func (x *FeatureValueDestination) Reset()

func (*FeatureValueDestination) String

func (x *FeatureValueDestination) String() string

FeatureValueDestination_BigqueryDestination

type FeatureValueDestination_BigqueryDestination struct {
	// Output in BigQuery format.
	// [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
	// in
	// [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
	// must refer to a table.
	BigqueryDestination *BigQueryDestination `protobuf:"bytes,1,opt,name=bigquery_destination,json=bigqueryDestination,proto3,oneof"`
}

FeatureValueDestination_CsvDestination

type FeatureValueDestination_CsvDestination struct {
	// Output in CSV format. Array Feature value types are not allowed in CSV
	// format.
	CsvDestination *CsvDestination `protobuf:"bytes,3,opt,name=csv_destination,json=csvDestination,proto3,oneof"`
}

FeatureValueDestination_TfrecordDestination

type FeatureValueDestination_TfrecordDestination struct {
	// Output in TFRecord format.
	//
	// Below are the mapping from Feature value type
	// in Featurestore to Feature value type in TFRecord:
	//
	//     Value type in Featurestore                 | Value type in TFRecord
	//     DOUBLE, DOUBLE_ARRAY                       | FLOAT_LIST
	//     INT64, INT64_ARRAY                         | INT64_LIST
	//     STRING, STRING_ARRAY, BYTES                | BYTES_LIST
	//     true -> byte_string("true"), false -> byte_string("false")
	//     BOOL, BOOL_ARRAY (true, false)             | BYTES_LIST
	TfrecordDestination *TFRecordDestination `protobuf:"bytes,2,opt,name=tfrecord_destination,json=tfrecordDestination,proto3,oneof"`
}

FeatureValueList

type FeatureValueList struct {

	// A list of feature values. All of them should be the same data type.
	Values []*FeatureValue `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Container for list of values.

func (*FeatureValueList) Descriptor

func (*FeatureValueList) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValueList.ProtoReflect.Descriptor instead.

func (*FeatureValueList) GetValues

func (x *FeatureValueList) GetValues() []*FeatureValue

func (*FeatureValueList) ProtoMessage

func (*FeatureValueList) ProtoMessage()

func (*FeatureValueList) ProtoReflect

func (x *FeatureValueList) ProtoReflect() protoreflect.Message

func (*FeatureValueList) Reset

func (x *FeatureValueList) Reset()

func (*FeatureValueList) String

func (x *FeatureValueList) String() string

FeatureValue_BoolArrayValue

type FeatureValue_BoolArrayValue struct {
	// A list of bool type feature value.
	BoolArrayValue *BoolArray `protobuf:"bytes,7,opt,name=bool_array_value,json=boolArrayValue,proto3,oneof"`
}

FeatureValue_BoolValue

type FeatureValue_BoolValue struct {
	// Bool type feature value.
	BoolValue bool `protobuf:"varint,1,opt,name=bool_value,json=boolValue,proto3,oneof"`
}

FeatureValue_BytesValue

type FeatureValue_BytesValue struct {
	// Bytes feature value.
	BytesValue []byte `protobuf:"bytes,13,opt,name=bytes_value,json=bytesValue,proto3,oneof"`
}

FeatureValue_DoubleArrayValue

type FeatureValue_DoubleArrayValue struct {
	// A list of double type feature value.
	DoubleArrayValue *DoubleArray `protobuf:"bytes,8,opt,name=double_array_value,json=doubleArrayValue,proto3,oneof"`
}

FeatureValue_DoubleValue

type FeatureValue_DoubleValue struct {
	// Double type feature value.
	DoubleValue float64 `protobuf:"fixed64,2,opt,name=double_value,json=doubleValue,proto3,oneof"`
}

FeatureValue_Int64ArrayValue

type FeatureValue_Int64ArrayValue struct {
	// A list of int64 type feature value.
	Int64ArrayValue *Int64Array `protobuf:"bytes,11,opt,name=int64_array_value,json=int64ArrayValue,proto3,oneof"`
}

FeatureValue_Int64Value

type FeatureValue_Int64Value struct {
	// Int64 feature value.
	Int64Value int64 `protobuf:"varint,5,opt,name=int64_value,json=int64Value,proto3,oneof"`
}

FeatureValue_Metadata

type FeatureValue_Metadata struct {

	// Feature generation timestamp. Typically, it is provided by user at
	// feature ingestion time. If not, feature store
	// will use the system timestamp when the data is ingested into feature
	// store. For streaming ingestion, the time, aligned by days, must be no
	// older than five years (1825 days) and no later than one year (366 days)
	// in the future.
	GenerateTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=generate_time,json=generateTime,proto3" json:"generate_time,omitempty"`
	// contains filtered or unexported fields
}

Metadata of feature value.

func (*FeatureValue_Metadata) Descriptor

func (*FeatureValue_Metadata) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValue_Metadata.ProtoReflect.Descriptor instead.

func (*FeatureValue_Metadata) GetGenerateTime

func (x *FeatureValue_Metadata) GetGenerateTime() *timestamppb.Timestamp

func (*FeatureValue_Metadata) ProtoMessage

func (*FeatureValue_Metadata) ProtoMessage()

func (*FeatureValue_Metadata) ProtoReflect

func (x *FeatureValue_Metadata) ProtoReflect() protoreflect.Message

func (*FeatureValue_Metadata) Reset

func (x *FeatureValue_Metadata) Reset()

func (*FeatureValue_Metadata) String

func (x *FeatureValue_Metadata) String() string

FeatureValue_StringArrayValue

type FeatureValue_StringArrayValue struct {
	// A list of string type feature value.
	StringArrayValue *StringArray `protobuf:"bytes,12,opt,name=string_array_value,json=stringArrayValue,proto3,oneof"`
}

FeatureValue_StringValue

type FeatureValue_StringValue struct {
	// String feature value.
	StringValue string `protobuf:"bytes,6,opt,name=string_value,json=stringValue,proto3,oneof"`
}

Feature_MonitoringStatsAnomaly

type Feature_MonitoringStatsAnomaly struct {
	Objective Feature_MonitoringStatsAnomaly_Objective "" /* 145 byte string literal not displayed */

	FeatureStatsAnomaly *FeatureStatsAnomaly `protobuf:"bytes,2,opt,name=feature_stats_anomaly,json=featureStatsAnomaly,proto3" json:"feature_stats_anomaly,omitempty"`

}

A list of historical [SnapshotAnalysis][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis] or [ImportFeaturesAnalysis][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis] stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time] descending.

func (*Feature_MonitoringStatsAnomaly) Descriptor

func (*Feature_MonitoringStatsAnomaly) Descriptor() ([]byte, []int)

Deprecated: Use Feature_MonitoringStatsAnomaly.ProtoReflect.Descriptor instead.

func (*Feature_MonitoringStatsAnomaly) GetFeatureStatsAnomaly

func (x *Feature_MonitoringStatsAnomaly) GetFeatureStatsAnomaly() *FeatureStatsAnomaly

func (*Feature_MonitoringStatsAnomaly) GetObjective

func (x *Feature_MonitoringStatsAnomaly) GetObjective() Feature_MonitoringStatsAnomaly_Objective

func (*Feature_MonitoringStatsAnomaly) ProtoMessage

func (*Feature_MonitoringStatsAnomaly) ProtoMessage()

func (*Feature_MonitoringStatsAnomaly) ProtoReflect

func (x *Feature_MonitoringStatsAnomaly) ProtoReflect() protoreflect.Message

func (*Feature_MonitoringStatsAnomaly) Reset

func (x *Feature_MonitoringStatsAnomaly) Reset()

func (*Feature_MonitoringStatsAnomaly) String

func (x *Feature_MonitoringStatsAnomaly) String() string

Feature_MonitoringStatsAnomaly_Objective

type Feature_MonitoringStatsAnomaly_Objective int32

If the objective in the request is both Import Feature Analysis and Snapshot Analysis, this objective could be one of them. Otherwise, this objective should be the same as the objective in the request.

Feature_MonitoringStatsAnomaly_OBJECTIVE_UNSPECIFIED, Feature_MonitoringStatsAnomaly_IMPORT_FEATURE_ANALYSIS, Feature_MonitoringStatsAnomaly_SNAPSHOT_ANALYSIS

const (
	// If it's OBJECTIVE_UNSPECIFIED, monitoring_stats will be empty.
	Feature_MonitoringStatsAnomaly_OBJECTIVE_UNSPECIFIED Feature_MonitoringStatsAnomaly_Objective = 0
	// Stats are generated by Import Feature Analysis.
	Feature_MonitoringStatsAnomaly_IMPORT_FEATURE_ANALYSIS Feature_MonitoringStatsAnomaly_Objective = 1
	// Stats are generated by Snapshot Analysis.
	Feature_MonitoringStatsAnomaly_SNAPSHOT_ANALYSIS Feature_MonitoringStatsAnomaly_Objective = 2
)

func (Feature_MonitoringStatsAnomaly_Objective) Descriptor

func (Feature_MonitoringStatsAnomaly_Objective) Descriptor() protoreflect.EnumDescriptor

func (Feature_MonitoringStatsAnomaly_Objective) Enum

func (x Feature_MonitoringStatsAnomaly_Objective) Enum() *Feature_MonitoringStatsAnomaly_Objective

func (Feature_MonitoringStatsAnomaly_Objective) EnumDescriptor

func (Feature_MonitoringStatsAnomaly_Objective) EnumDescriptor() ([]byte, []int)

Deprecated: Use Feature_MonitoringStatsAnomaly_Objective.Descriptor instead.

func (Feature_MonitoringStatsAnomaly_Objective) Number

func (x Feature_MonitoringStatsAnomaly_Objective) Number() protoreflect.EnumNumber

func (Feature_MonitoringStatsAnomaly_Objective) String

func (x Feature_MonitoringStatsAnomaly_Objective) String() string

func (Feature_MonitoringStatsAnomaly_Objective) Type

func (Feature_MonitoringStatsAnomaly_Objective) Type() protoreflect.EnumType

Feature_ValueType

type Feature_ValueType int32

An enum representing the value type of a feature.

Feature_VALUE_TYPE_UNSPECIFIED, Feature_BOOL, Feature_BOOL_ARRAY, Feature_DOUBLE, Feature_DOUBLE_ARRAY, Feature_INT64, Feature_INT64_ARRAY, Feature_STRING, Feature_STRING_ARRAY, Feature_BYTES

const (
	// The value type is unspecified.
	Feature_VALUE_TYPE_UNSPECIFIED Feature_ValueType = 0
	// Used for Feature that is a boolean.
	Feature_BOOL Feature_ValueType = 1
	// Used for Feature that is a list of boolean.
	Feature_BOOL_ARRAY Feature_ValueType = 2
	// Used for Feature that is double.
	Feature_DOUBLE Feature_ValueType = 3
	// Used for Feature that is a list of double.
	Feature_DOUBLE_ARRAY Feature_ValueType = 4
	// Used for Feature that is INT64.
	Feature_INT64 Feature_ValueType = 9
	// Used for Feature that is a list of INT64.
	Feature_INT64_ARRAY Feature_ValueType = 10
	// Used for Feature that is string.
	Feature_STRING Feature_ValueType = 11
	// Used for Feature that is a list of String.
	Feature_STRING_ARRAY Feature_ValueType = 12
	// Used for Feature that is bytes.
	Feature_BYTES Feature_ValueType = 13
)

func (Feature_ValueType) Descriptor

func (Feature_ValueType) Descriptor() protoreflect.EnumDescriptor

func (Feature_ValueType) Enum

func (x Feature_ValueType) Enum() *Feature_ValueType

func (Feature_ValueType) EnumDescriptor

func (Feature_ValueType) EnumDescriptor() ([]byte, []int)

Deprecated: Use Feature_ValueType.Descriptor instead.

func (Feature_ValueType) Number

func (x Feature_ValueType) Number() protoreflect.EnumNumber

func (Feature_ValueType) String

func (x Feature_ValueType) String() string

func (Feature_ValueType) Type

func (Feature_ValueType) Type() protoreflect.EnumType

Featurestore

type Featurestore struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	OnlineServingConfig *Featurestore_OnlineServingConfig `protobuf:"bytes,7,opt,name=online_serving_config,json=onlineServingConfig,proto3" json:"online_serving_config,omitempty"`

	State Featurestore_State `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Featurestore_State" json:"state,omitempty"`

	OnlineStorageTtlDays int32 "" /* 127 byte string literal not displayed */

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,10,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

}

Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features. The Featurestore is a top-level container for your features and their values.

func (*Featurestore) Descriptor

func (*Featurestore) Descriptor() ([]byte, []int)

Deprecated: Use Featurestore.ProtoReflect.Descriptor instead.

func (*Featurestore) GetCreateTime

func (x *Featurestore) GetCreateTime() *timestamppb.Timestamp

func (*Featurestore) GetEncryptionSpec

func (x *Featurestore) GetEncryptionSpec() *EncryptionSpec

func (*Featurestore) GetEtag

func (x *Featurestore) GetEtag() string

func (*Featurestore) GetLabels

func (x *Featurestore) GetLabels() map[string]string

func (*Featurestore) GetName

func (x *Featurestore) GetName() string

func (*Featurestore) GetOnlineServingConfig

func (x *Featurestore) GetOnlineServingConfig() *Featurestore_OnlineServingConfig

func (*Featurestore) GetOnlineStorageTtlDays

func (x *Featurestore) GetOnlineStorageTtlDays() int32

func (*Featurestore) GetState

func (x *Featurestore) GetState() Featurestore_State

func (*Featurestore) GetUpdateTime

func (x *Featurestore) GetUpdateTime() *timestamppb.Timestamp

func (*Featurestore) ProtoMessage

func (*Featurestore) ProtoMessage()

func (*Featurestore) ProtoReflect

func (x *Featurestore) ProtoReflect() protoreflect.Message

func (*Featurestore) Reset

func (x *Featurestore) Reset()

func (*Featurestore) String

func (x *Featurestore) String() string

FeaturestoreMonitoringConfig

type FeaturestoreMonitoringConfig struct {
	SnapshotAnalysis *FeaturestoreMonitoringConfig_SnapshotAnalysis `protobuf:"bytes,1,opt,name=snapshot_analysis,json=snapshotAnalysis,proto3" json:"snapshot_analysis,omitempty"`

	ImportFeaturesAnalysis *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis "" /* 129 byte string literal not displayed */

	NumericalThresholdConfig *FeaturestoreMonitoringConfig_ThresholdConfig "" /* 135 byte string literal not displayed */

	CategoricalThresholdConfig *FeaturestoreMonitoringConfig_ThresholdConfig "" /* 141 byte string literal not displayed */

}

Configuration of how features in Featurestore are monitored.

func (*FeaturestoreMonitoringConfig) Descriptor

func (*FeaturestoreMonitoringConfig) Descriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig.ProtoReflect.Descriptor instead.

func (*FeaturestoreMonitoringConfig) GetCategoricalThresholdConfig

func (x *FeaturestoreMonitoringConfig) GetCategoricalThresholdConfig() *FeaturestoreMonitoringConfig_ThresholdConfig

func (*FeaturestoreMonitoringConfig) GetImportFeaturesAnalysis

func (x *FeaturestoreMonitoringConfig) GetImportFeaturesAnalysis() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis

func (*FeaturestoreMonitoringConfig) GetNumericalThresholdConfig

func (x *FeaturestoreMonitoringConfig) GetNumericalThresholdConfig() *FeaturestoreMonitoringConfig_ThresholdConfig

func (*FeaturestoreMonitoringConfig) GetSnapshotAnalysis

func (x *FeaturestoreMonitoringConfig) GetSnapshotAnalysis() *FeaturestoreMonitoringConfig_SnapshotAnalysis

func (*FeaturestoreMonitoringConfig) ProtoMessage

func (*FeaturestoreMonitoringConfig) ProtoMessage()

func (*FeaturestoreMonitoringConfig) ProtoReflect

func (x *FeaturestoreMonitoringConfig) ProtoReflect() protoreflect.Message

func (*FeaturestoreMonitoringConfig) Reset

func (x *FeaturestoreMonitoringConfig) Reset()

func (*FeaturestoreMonitoringConfig) String

func (x *FeaturestoreMonitoringConfig) String() string

FeaturestoreMonitoringConfig_ImportFeaturesAnalysis

type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis struct {
	State FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State "" /* 154 byte string literal not displayed */

	AnomalyDetectionBaseline FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline "" /* 229 byte string literal not displayed */

}

Configuration of the Featurestore's ImportFeature Analysis Based Monitoring. This type of analysis generates statistics for values of each Feature imported by every [ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues] operation.

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Descriptor

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Descriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis.ProtoReflect.Descriptor instead.

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetAnomalyDetectionBaseline

func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetAnomalyDetectionBaseline() FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetState

func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetState() FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoMessage

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoMessage()

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoReflect

func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoReflect() protoreflect.Message

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Reset

func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Reset()

func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) String

func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) String() string

FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline

type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline int32

Defines the baseline to do anomaly detection for feature values imported by each [ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues] operation.

FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_BASELINE_UNSPECIFIED, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_LATEST_STATS, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_MOST_RECENT_SNAPSHOT_STATS, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_PREVIOUS_IMPORT_FEATURES_STATS

const (
	// Should not be used.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_BASELINE_UNSPECIFIED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 0
	// Choose the later one statistics generated by either most recent
	// snapshot analysis or previous import features analysis. If non of them
	// exists, skip anomaly detection and only generate a statistics.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_LATEST_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 1
	// Use the statistics generated by the most recent snapshot analysis if
	// exists.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_MOST_RECENT_SNAPSHOT_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 2
	// Use the statistics generated by the previous import features analysis
	// if exists.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_PREVIOUS_IMPORT_FEATURES_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 3
)

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Descriptor

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Descriptor() protoreflect.EnumDescriptor

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Enum

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Enum() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) EnumDescriptor

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) EnumDescriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline.Descriptor instead.

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Number

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Number() protoreflect.EnumNumber

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) String

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) String() string

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Type

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Type() protoreflect.EnumType

FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State

type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State int32

The state defines whether to enable ImportFeature analysis.

FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_STATE_UNSPECIFIED, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DEFAULT, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_ENABLED, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DISABLED

const (
	// Should not be used.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_STATE_UNSPECIFIED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 0
	// The default behavior of whether to enable the monitoring.
	// EntityType-level config: disabled.
	// Feature-level config: inherited from the configuration of EntityType
	// this Feature belongs to.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DEFAULT FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 1
	// Explicitly enables import features analysis.
	// EntityType-level config: by default enables import features analysis
	// for all Features under it. Feature-level config: enables import
	// features analysis regardless of the EntityType-level config.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_ENABLED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 2
	// Explicitly disables import features analysis.
	// EntityType-level config: by default disables import features analysis
	// for all Features under it. Feature-level config: disables import
	// features analysis regardless of the EntityType-level config.
	FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DISABLED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 3
)

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Descriptor

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Descriptor() protoreflect.EnumDescriptor

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Enum

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Enum() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) EnumDescriptor

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State.Descriptor instead.

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Number

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Number() protoreflect.EnumNumber

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) String

func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) String() string

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Type

func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Type() protoreflect.EnumType

FeaturestoreMonitoringConfig_SnapshotAnalysis

type FeaturestoreMonitoringConfig_SnapshotAnalysis struct {
	Disabled bool `protobuf:"varint,1,opt,name=disabled,proto3" json:"disabled,omitempty"`

	MonitoringIntervalDays int32 "" /* 130 byte string literal not displayed */

	StalenessDays int32 `protobuf:"varint,4,opt,name=staleness_days,json=stalenessDays,proto3" json:"staleness_days,omitempty"`

}

Configuration of the Featurestore's Snapshot Analysis Based Monitoring. This type of analysis generates statistics for each Feature based on a snapshot of the latest feature value of each entities every monitoring_interval.

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Descriptor

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Descriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_SnapshotAnalysis.ProtoReflect.Descriptor instead.

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetDisabled

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetDisabled() bool

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetMonitoringIntervalDays

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetMonitoringIntervalDays() int32

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetStalenessDays

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetStalenessDays() int32

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoMessage

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoMessage()

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoReflect

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoReflect() protoreflect.Message

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Reset

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) Reset()

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) String

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) String() string

FeaturestoreMonitoringConfig_ThresholdConfig

type FeaturestoreMonitoringConfig_ThresholdConfig struct {

	// Types that are assignable to Threshold:
	//	*FeaturestoreMonitoringConfig_ThresholdConfig_Value
	Threshold isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold `protobuf_oneof:"threshold"`
	// contains filtered or unexported fields
}

The config for Featurestore Monitoring threshold.

func (*FeaturestoreMonitoringConfig_ThresholdConfig) Descriptor

func (*FeaturestoreMonitoringConfig_ThresholdConfig) Descriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_ThresholdConfig.ProtoReflect.Descriptor instead.

func (*FeaturestoreMonitoringConfig_ThresholdConfig) GetThreshold

func (m *FeaturestoreMonitoringConfig_ThresholdConfig) GetThreshold() isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold

func (*FeaturestoreMonitoringConfig_ThresholdConfig) GetValue

func (x *FeaturestoreMonitoringConfig_ThresholdConfig) GetValue() float64

func (*FeaturestoreMonitoringConfig_ThresholdConfig) ProtoMessage

func (*FeaturestoreMonitoringConfig_ThresholdConfig) ProtoMessage()

func (*FeaturestoreMonitoringConfig_ThresholdConfig) ProtoReflect

func (x *FeaturestoreMonitoringConfig_ThresholdConfig) ProtoReflect() protoreflect.Message

func (*FeaturestoreMonitoringConfig_ThresholdConfig) Reset

func (x *FeaturestoreMonitoringConfig_ThresholdConfig) Reset()

func (*FeaturestoreMonitoringConfig_ThresholdConfig) String

func (x *FeaturestoreMonitoringConfig_ThresholdConfig) String() string

FeaturestoreMonitoringConfig_ThresholdConfig_Value

type FeaturestoreMonitoringConfig_ThresholdConfig_Value struct {
	// Specify a threshold value that can trigger the alert.
	// 1. For categorical feature, the distribution distance is calculated by
	// L-inifinity norm.
	// 2. For numerical feature, the distribution distance is calculated by
	// Jensen–Shannon divergence. Each feature must have a non-zero threshold
	// if they need to be monitored. Otherwise no alert will be triggered for
	// that feature.
	Value float64 `protobuf:"fixed64,1,opt,name=value,proto3,oneof"`
}

FeaturestoreOnlineServingServiceClient

type FeaturestoreOnlineServingServiceClient interface {
	// Reads Feature values of a specific entity of an EntityType. For reading
	// feature values of multiple entities of an EntityType, please use
	// StreamingReadFeatureValues.
	ReadFeatureValues(ctx context.Context, in *ReadFeatureValuesRequest, opts ...grpc.CallOption) (*ReadFeatureValuesResponse, error)
	// Reads Feature values for multiple entities. Depending on their size, data
	// for different entities may be broken
	// up across multiple responses.
	StreamingReadFeatureValues(ctx context.Context, in *StreamingReadFeatureValuesRequest, opts ...grpc.CallOption) (FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient, error)
	// Writes Feature values of one or more entities of an EntityType.
	//
	// The Feature values are merged into existing entities if any. The Feature
	// values to be written must have timestamp within the online storage
	// retention.
	WriteFeatureValues(ctx context.Context, in *WriteFeatureValuesRequest, opts ...grpc.CallOption) (*WriteFeatureValuesResponse, error)
}

FeaturestoreOnlineServingServiceClient is the client API for FeaturestoreOnlineServingService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewFeaturestoreOnlineServingServiceClient

func NewFeaturestoreOnlineServingServiceClient(cc grpc.ClientConnInterface) FeaturestoreOnlineServingServiceClient

FeaturestoreOnlineServingServiceServer

type FeaturestoreOnlineServingServiceServer interface {
	// Reads Feature values of a specific entity of an EntityType. For reading
	// feature values of multiple entities of an EntityType, please use
	// StreamingReadFeatureValues.
	ReadFeatureValues(context.Context, *ReadFeatureValuesRequest) (*ReadFeatureValuesResponse, error)
	// Reads Feature values for multiple entities. Depending on their size, data
	// for different entities may be broken
	// up across multiple responses.
	StreamingReadFeatureValues(*StreamingReadFeatureValuesRequest, FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer) error
	// Writes Feature values of one or more entities of an EntityType.
	//
	// The Feature values are merged into existing entities if any. The Feature
	// values to be written must have timestamp within the online storage
	// retention.
	WriteFeatureValues(context.Context, *WriteFeatureValuesRequest) (*WriteFeatureValuesResponse, error)
}

FeaturestoreOnlineServingServiceServer is the server API for FeaturestoreOnlineServingService service.

FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient

type FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient interface {
	Recv() (*ReadFeatureValuesResponse, error)
	grpc.ClientStream
}

FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer

type FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer interface {
	Send(*ReadFeatureValuesResponse) error
	grpc.ServerStream
}

FeaturestoreServiceClient

type FeaturestoreServiceClient interface {
	// Creates a new Featurestore in a given project and location.
	CreateFeaturestore(ctx context.Context, in *CreateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets details of a single Featurestore.
	GetFeaturestore(ctx context.Context, in *GetFeaturestoreRequest, opts ...grpc.CallOption) (*Featurestore, error)
	// Lists Featurestores in a given project and location.
	ListFeaturestores(ctx context.Context, in *ListFeaturestoresRequest, opts ...grpc.CallOption) (*ListFeaturestoresResponse, error)
	// Updates the parameters of a single Featurestore.
	UpdateFeaturestore(ctx context.Context, in *UpdateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a single Featurestore. The Featurestore must not contain any
	// EntityTypes or `force` must be set to true for the request to succeed.
	DeleteFeaturestore(ctx context.Context, in *DeleteFeaturestoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a new EntityType in a given Featurestore.
	CreateEntityType(ctx context.Context, in *CreateEntityTypeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets details of a single EntityType.
	GetEntityType(ctx context.Context, in *GetEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error)
	// Lists EntityTypes in a given Featurestore.
	ListEntityTypes(ctx context.Context, in *ListEntityTypesRequest, opts ...grpc.CallOption) (*ListEntityTypesResponse, error)
	// Updates the parameters of a single EntityType.
	UpdateEntityType(ctx context.Context, in *UpdateEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error)
	// Deletes a single EntityType. The EntityType must not have any Features
	// or `force` must be set to true for the request to succeed.
	DeleteEntityType(ctx context.Context, in *DeleteEntityTypeRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a new Feature in a given EntityType.
	CreateFeature(ctx context.Context, in *CreateFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a batch of Features in a given EntityType.
	BatchCreateFeatures(ctx context.Context, in *BatchCreateFeaturesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets details of a single Feature.
	GetFeature(ctx context.Context, in *GetFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
	// Lists Features in a given EntityType.
	ListFeatures(ctx context.Context, in *ListFeaturesRequest, opts ...grpc.CallOption) (*ListFeaturesResponse, error)
	// Updates the parameters of a single Feature.
	UpdateFeature(ctx context.Context, in *UpdateFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
	// Deletes a single Feature.
	DeleteFeature(ctx context.Context, in *DeleteFeatureRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Imports Feature values into the Featurestore from a source storage.
	//
	// The progress of the import is tracked by the returned operation. The
	// imported features are guaranteed to be visible to subsequent read
	// operations after the operation is marked as successfully done.
	//
	// If an import operation fails, the Feature values returned from
	// reads and exports may be inconsistent. If consistency is
	// required, the caller must retry the same import request again and wait till
	// the new operation returned is marked as successfully done.
	//
	// There are also scenarios where the caller can cause inconsistency.
	//
	//  - Source data for import contains multiple distinct Feature values for
	//    the same entity ID and timestamp.
	//  - Source is modified during an import. This includes adding, updating, or
	//  removing source data and/or metadata. Examples of updating metadata
	//  include but are not limited to changing storage location, storage class,
	//  or retention policy.
	//  - Online serving cluster is under-provisioned.
	ImportFeatureValues(ctx context.Context, in *ImportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Batch reads Feature values from a Featurestore.
	//
	// This API enables batch reading Feature values, where each read
	// instance in the batch may read Feature values of entities from one or
	// more EntityTypes. Point-in-time correctness is guaranteed for Feature
	// values of each read instance as of each instance's read timestamp.
	BatchReadFeatureValues(ctx context.Context, in *BatchReadFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Exports Feature values from all the entities of a target EntityType.
	ExportFeatureValues(ctx context.Context, in *ExportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Delete Feature values from Featurestore.
	//
	// The progress of the deletion is tracked by the returned operation. The
	// deleted feature values are guaranteed to be invisible to subsequent read
	// operations after the operation is marked as successfully done.
	//
	// If a delete feature values operation fails, the feature values
	// returned from reads and exports may be inconsistent. If consistency is
	// required, the caller must retry the same delete request again and wait till
	// the new operation returned is marked as successfully done.
	DeleteFeatureValues(ctx context.Context, in *DeleteFeatureValuesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Searches Features matching a query in a given project.
	SearchFeatures(ctx context.Context, in *SearchFeaturesRequest, opts ...grpc.CallOption) (*SearchFeaturesResponse, error)
}

FeaturestoreServiceClient is the client API for FeaturestoreService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewFeaturestoreServiceClient

func NewFeaturestoreServiceClient(cc grpc.ClientConnInterface) FeaturestoreServiceClient

FeaturestoreServiceServer

type FeaturestoreServiceServer interface {
	// Creates a new Featurestore in a given project and location.
	CreateFeaturestore(context.Context, *CreateFeaturestoreRequest) (*longrunningpb.Operation, error)
	// Gets details of a single Featurestore.
	GetFeaturestore(context.Context, *GetFeaturestoreRequest) (*Featurestore, error)
	// Lists Featurestores in a given project and location.
	ListFeaturestores(context.Context, *ListFeaturestoresRequest) (*ListFeaturestoresResponse, error)
	// Updates the parameters of a single Featurestore.
	UpdateFeaturestore(context.Context, *UpdateFeaturestoreRequest) (*longrunningpb.Operation, error)
	// Deletes a single Featurestore. The Featurestore must not contain any
	// EntityTypes or `force` must be set to true for the request to succeed.
	DeleteFeaturestore(context.Context, *DeleteFeaturestoreRequest) (*longrunningpb.Operation, error)
	// Creates a new EntityType in a given Featurestore.
	CreateEntityType(context.Context, *CreateEntityTypeRequest) (*longrunningpb.Operation, error)
	// Gets details of a single EntityType.
	GetEntityType(context.Context, *GetEntityTypeRequest) (*EntityType, error)
	// Lists EntityTypes in a given Featurestore.
	ListEntityTypes(context.Context, *ListEntityTypesRequest) (*ListEntityTypesResponse, error)
	// Updates the parameters of a single EntityType.
	UpdateEntityType(context.Context, *UpdateEntityTypeRequest) (*EntityType, error)
	// Deletes a single EntityType. The EntityType must not have any Features
	// or `force` must be set to true for the request to succeed.
	DeleteEntityType(context.Context, *DeleteEntityTypeRequest) (*longrunningpb.Operation, error)
	// Creates a new Feature in a given EntityType.
	CreateFeature(context.Context, *CreateFeatureRequest) (*longrunningpb.Operation, error)
	// Creates a batch of Features in a given EntityType.
	BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunningpb.Operation, error)
	// Gets details of a single Feature.
	GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)
	// Lists Features in a given EntityType.
	ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)
	// Updates the parameters of a single Feature.
	UpdateFeature(context.Context, *UpdateFeatureRequest) (*Feature, error)
	// Deletes a single Feature.
	DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunningpb.Operation, error)
	// Imports Feature values into the Featurestore from a source storage.
	//
	// The progress of the import is tracked by the returned operation. The
	// imported features are guaranteed to be visible to subsequent read
	// operations after the operation is marked as successfully done.
	//
	// If an import operation fails, the Feature values returned from
	// reads and exports may be inconsistent. If consistency is
	// required, the caller must retry the same import request again and wait till
	// the new operation returned is marked as successfully done.
	//
	// There are also scenarios where the caller can cause inconsistency.
	//
	//  - Source data for import contains multiple distinct Feature values for
	//    the same entity ID and timestamp.
	//  - Source is modified during an import. This includes adding, updating, or
	//  removing source data and/or metadata. Examples of updating metadata
	//  include but are not limited to changing storage location, storage class,
	//  or retention policy.
	//  - Online serving cluster is under-provisioned.
	ImportFeatureValues(context.Context, *ImportFeatureValuesRequest) (*longrunningpb.Operation, error)
	// Batch reads Feature values from a Featurestore.
	//
	// This API enables batch reading Feature values, where each read
	// instance in the batch may read Feature values of entities from one or
	// more EntityTypes. Point-in-time correctness is guaranteed for Feature
	// values of each read instance as of each instance's read timestamp.
	BatchReadFeatureValues(context.Context, *BatchReadFeatureValuesRequest) (*longrunningpb.Operation, error)
	// Exports Feature values from all the entities of a target EntityType.
	ExportFeatureValues(context.Context, *ExportFeatureValuesRequest) (*longrunningpb.Operation, error)
	// Delete Feature values from Featurestore.
	//
	// The progress of the deletion is tracked by the returned operation. The
	// deleted feature values are guaranteed to be invisible to subsequent read
	// operations after the operation is marked as successfully done.
	//
	// If a delete feature values operation fails, the feature values
	// returned from reads and exports may be inconsistent. If consistency is
	// required, the caller must retry the same delete request again and wait till
	// the new operation returned is marked as successfully done.
	DeleteFeatureValues(context.Context, *DeleteFeatureValuesRequest) (*longrunningpb.Operation, error)
	// Searches Features matching a query in a given project.
	SearchFeatures(context.Context, *SearchFeaturesRequest) (*SearchFeaturesResponse, error)
}

FeaturestoreServiceServer is the server API for FeaturestoreService service.

Featurestore_OnlineServingConfig

type Featurestore_OnlineServingConfig struct {

	// The number of nodes for the online store. The number of nodes doesn't
	// scale automatically, but you can manually update the number of
	// nodes. If set to 0, the featurestore will not have an
	// online store and cannot be used for online serving.
	FixedNodeCount int32 `protobuf:"varint,2,opt,name=fixed_node_count,json=fixedNodeCount,proto3" json:"fixed_node_count,omitempty"`
	// Online serving scaling configuration.
	// Only one of `fixed_node_count` and `scaling` can be set. Setting one will
	// reset the other.
	Scaling *Featurestore_OnlineServingConfig_Scaling `protobuf:"bytes,4,opt,name=scaling,proto3" json:"scaling,omitempty"`
	// contains filtered or unexported fields
}

OnlineServingConfig specifies the details for provisioning online serving resources.

func (*Featurestore_OnlineServingConfig) Descriptor

func (*Featurestore_OnlineServingConfig) Descriptor() ([]byte, []int)

Deprecated: Use Featurestore_OnlineServingConfig.ProtoReflect.Descriptor instead.

func (*Featurestore_OnlineServingConfig) GetFixedNodeCount

func (x *Featurestore_OnlineServingConfig) GetFixedNodeCount() int32

func (*Featurestore_OnlineServingConfig) GetScaling

func (x *Featurestore_OnlineServingConfig) GetScaling() *Featurestore_OnlineServingConfig_Scaling

func (*Featurestore_OnlineServingConfig) ProtoMessage

func (*Featurestore_OnlineServingConfig) ProtoMessage()

func (*Featurestore_OnlineServingConfig) ProtoReflect

func (x *Featurestore_OnlineServingConfig) ProtoReflect() protoreflect.Message

func (*Featurestore_OnlineServingConfig) Reset

func (x *Featurestore_OnlineServingConfig) Reset()

func (*Featurestore_OnlineServingConfig) String

func (x *Featurestore_OnlineServingConfig) String() string

Featurestore_OnlineServingConfig_Scaling

type Featurestore_OnlineServingConfig_Scaling struct {

	// Required. The minimum number of nodes to scale down to. Must be greater
	// than or equal to 1.
	MinNodeCount int32 `protobuf:"varint,1,opt,name=min_node_count,json=minNodeCount,proto3" json:"min_node_count,omitempty"`
	// The maximum number of nodes to scale up to. Must be greater than
	// min_node_count, and less than or equal to 10 times of 'min_node_count'.
	MaxNodeCount int32 `protobuf:"varint,2,opt,name=max_node_count,json=maxNodeCount,proto3" json:"max_node_count,omitempty"`
	// Optional. The cpu utilization that the Autoscaler should be trying to
	// achieve. This number is on a scale from 0 (no utilization) to 100
	// (total utilization), and is limited between 10 and 80. When a cluster's
	// CPU utilization exceeds the target that you have set, Bigtable
	// immediately adds nodes to the cluster. When CPU utilization is
	// substantially lower than the target, Bigtable removes nodes. If not set
	// or set to 0, default to 50.
	CpuUtilizationTarget int32 `protobuf:"varint,3,opt,name=cpu_utilization_target,json=cpuUtilizationTarget,proto3" json:"cpu_utilization_target,omitempty"`
	// contains filtered or unexported fields
}

Online serving scaling configuration. If min_node_count and max_node_count are set to the same value, the cluster will be configured with the fixed number of node (no auto-scaling).

func (*Featurestore_OnlineServingConfig_Scaling) Descriptor

func (*Featurestore_OnlineServingConfig_Scaling) Descriptor() ([]byte, []int)

Deprecated: Use Featurestore_OnlineServingConfig_Scaling.ProtoReflect.Descriptor instead.

func (*Featurestore_OnlineServingConfig_Scaling) GetCpuUtilizationTarget

func (x *Featurestore_OnlineServingConfig_Scaling) GetCpuUtilizationTarget() int32

func (*Featurestore_OnlineServingConfig_Scaling) GetMaxNodeCount

func (x *Featurestore_OnlineServingConfig_Scaling) GetMaxNodeCount() int32

func (*Featurestore_OnlineServingConfig_Scaling) GetMinNodeCount

func (x *Featurestore_OnlineServingConfig_Scaling) GetMinNodeCount() int32

func (*Featurestore_OnlineServingConfig_Scaling) ProtoMessage

func (*Featurestore_OnlineServingConfig_Scaling) ProtoMessage()

func (*Featurestore_OnlineServingConfig_Scaling) ProtoReflect

func (x *Featurestore_OnlineServingConfig_Scaling) ProtoReflect() protoreflect.Message

func (*Featurestore_OnlineServingConfig_Scaling) Reset

func (x *Featurestore_OnlineServingConfig_Scaling) Reset()

func (*Featurestore_OnlineServingConfig_Scaling) String

func (x *Featurestore_OnlineServingConfig_Scaling) String() string

Featurestore_State

type Featurestore_State int32

Possible states a featurestore can have.

Featurestore_STATE_UNSPECIFIED, Featurestore_STABLE, Featurestore_UPDATING

const (
	// Default value. This value is unused.
	Featurestore_STATE_UNSPECIFIED Featurestore_State = 0
	// State when the featurestore configuration is not being updated and the
	// fields reflect the current configuration of the featurestore. The
	// featurestore is usable in this state.
	Featurestore_STABLE Featurestore_State = 1
	// The state of the featurestore configuration when it is being updated.
	// During an update, the fields reflect either the original configuration
	// or the updated configuration of the featurestore. For example,
	// `online_serving_config.fixed_node_count` can take minutes to update.
	// While the update is in progress, the featurestore is in the UPDATING
	// state, and the value of `fixed_node_count` can be the original value or
	// the updated value, depending on the progress of the operation. Until the
	// update completes, the actual number of nodes can still be the original
	// value of `fixed_node_count`. The featurestore is still usable in this
	// state.
	Featurestore_UPDATING Featurestore_State = 2
)

func (Featurestore_State) Descriptor

func (Featurestore_State) Descriptor() protoreflect.EnumDescriptor

func (Featurestore_State) Enum

func (x Featurestore_State) Enum() *Featurestore_State

func (Featurestore_State) EnumDescriptor

func (Featurestore_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Featurestore_State.Descriptor instead.

func (Featurestore_State) Number

func (x Featurestore_State) Number() protoreflect.EnumNumber

func (Featurestore_State) String

func (x Featurestore_State) String() string

func (Featurestore_State) Type

func (Featurestore_State) Type() protoreflect.EnumType

FilterSplit

type FilterSplit struct {

	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to train the Model. A filter with same syntax
	// as the one used in
	// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
	// may be used. If a single DataItem is matched by more than one of the
	// FilterSplit filters, then it is assigned to the first set that applies to
	// it in the training, validation, test order.
	TrainingFilter string `protobuf:"bytes,1,opt,name=training_filter,json=trainingFilter,proto3" json:"training_filter,omitempty"`
	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to validate the Model. A filter with same syntax
	// as the one used in
	// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
	// may be used. If a single DataItem is matched by more than one of the
	// FilterSplit filters, then it is assigned to the first set that applies to
	// it in the training, validation, test order.
	ValidationFilter string `protobuf:"bytes,2,opt,name=validation_filter,json=validationFilter,proto3" json:"validation_filter,omitempty"`
	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to test the Model. A filter with same syntax
	// as the one used in
	// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
	// may be used. If a single DataItem is matched by more than one of the
	// FilterSplit filters, then it is assigned to the first set that applies to
	// it in the training, validation, test order.
	TestFilter string `protobuf:"bytes,3,opt,name=test_filter,json=testFilter,proto3" json:"test_filter,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored. Currently only supported for Datasets containing DataItems. If any of the filters in this message are to match nothing, then they can be set as '-' (the minus sign).

Supported only for unstructured Datasets.

func (*FilterSplit) Descriptor

func (*FilterSplit) Descriptor() ([]byte, []int)

Deprecated: Use FilterSplit.ProtoReflect.Descriptor instead.

func (*FilterSplit) GetTestFilter

func (x *FilterSplit) GetTestFilter() string

func (*FilterSplit) GetTrainingFilter

func (x *FilterSplit) GetTrainingFilter() string

func (*FilterSplit) GetValidationFilter

func (x *FilterSplit) GetValidationFilter() string

func (*FilterSplit) ProtoMessage

func (*FilterSplit) ProtoMessage()

func (*FilterSplit) ProtoReflect

func (x *FilterSplit) ProtoReflect() protoreflect.Message

func (*FilterSplit) Reset

func (x *FilterSplit) Reset()

func (*FilterSplit) String

func (x *FilterSplit) String() string

FractionSplit

type FractionSplit struct {

	// The fraction of the input data that is to be used to train the Model.
	TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
	// The fraction of the input data that is to be used to validate the Model.
	ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
	// The fraction of the input data that is to be used to evaluate the Model.
	TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
	// contains filtered or unexported fields
}

Assigns the input data to training, validation, and test sets as per the given fractions. Any of training_fraction, validation_fraction and test_fraction may optionally be provided, they must sum to up to 1. If the provided ones sum to less than 1, the remainder is assigned to sets as decided by Vertex AI. If none of the fractions are set, by default roughly 80% of data is used for training, 10% for validation, and 10% for test.

func (*FractionSplit) Descriptor

func (*FractionSplit) Descriptor() ([]byte, []int)

Deprecated: Use FractionSplit.ProtoReflect.Descriptor instead.

func (*FractionSplit) GetTestFraction

func (x *FractionSplit) GetTestFraction() float64

func (*FractionSplit) GetTrainingFraction

func (x *FractionSplit) GetTrainingFraction() float64

func (*FractionSplit) GetValidationFraction

func (x *FractionSplit) GetValidationFraction() float64

func (*FractionSplit) ProtoMessage

func (*FractionSplit) ProtoMessage()

func (*FractionSplit) ProtoReflect

func (x *FractionSplit) ProtoReflect() protoreflect.Message

func (*FractionSplit) Reset

func (x *FractionSplit) Reset()

func (*FractionSplit) String

func (x *FractionSplit) String() string

GcsDestination

type GcsDestination struct {

	// Required. Google Cloud Storage URI to output directory. If the uri doesn't
	// end with
	// '/', a '/' will be automatically appended. The directory is created if it
	// doesn't exist.
	OutputUriPrefix string `protobuf:"bytes,1,opt,name=output_uri_prefix,json=outputUriPrefix,proto3" json:"output_uri_prefix,omitempty"`
	// contains filtered or unexported fields
}

The Google Cloud Storage location where the output is to be written to.

func (*GcsDestination) Descriptor

func (*GcsDestination) Descriptor() ([]byte, []int)

Deprecated: Use GcsDestination.ProtoReflect.Descriptor instead.

func (*GcsDestination) GetOutputUriPrefix

func (x *GcsDestination) GetOutputUriPrefix() string

func (*GcsDestination) ProtoMessage

func (*GcsDestination) ProtoMessage()

func (*GcsDestination) ProtoReflect

func (x *GcsDestination) ProtoReflect() protoreflect.Message

func (*GcsDestination) Reset

func (x *GcsDestination) Reset()

func (*GcsDestination) String

func (x *GcsDestination) String() string

GcsSource

type GcsSource struct {

	// Required. Google Cloud Storage URI(-s) to the input file(s). May contain
	// wildcards. For more information on wildcards, see
	// https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
	Uris []string `protobuf:"bytes,1,rep,name=uris,proto3" json:"uris,omitempty"`
	// contains filtered or unexported fields
}

The Google Cloud Storage location for the input content.

func (*GcsSource) Descriptor

func (*GcsSource) Descriptor() ([]byte, []int)

Deprecated: Use GcsSource.ProtoReflect.Descriptor instead.

func (*GcsSource) GetUris

func (x *GcsSource) GetUris() []string

func (*GcsSource) ProtoMessage

func (*GcsSource) ProtoMessage()

func (*GcsSource) ProtoReflect

func (x *GcsSource) ProtoReflect() protoreflect.Message

func (*GcsSource) Reset

func (x *GcsSource) Reset()

func (*GcsSource) String

func (x *GcsSource) String() string

GenericOperationMetadata

type GenericOperationMetadata struct {

	// Output only. Partial failures encountered.
	// E.g. single files that couldn't be read.
	// This field should never exceed 20 entries.
	// Status details field will contain standard Google Cloud error details.
	PartialFailures []*status.Status `protobuf:"bytes,1,rep,name=partial_failures,json=partialFailures,proto3" json:"partial_failures,omitempty"`
	// Output only. Time when the operation was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the operation was updated for the last time.
	// If the operation has finished (successfully or not), this is the finish
	// time.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// contains filtered or unexported fields
}

Generic Metadata shared by all operations.

func (*GenericOperationMetadata) Descriptor

func (*GenericOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use GenericOperationMetadata.ProtoReflect.Descriptor instead.

func (*GenericOperationMetadata) GetCreateTime

func (x *GenericOperationMetadata) GetCreateTime() *timestamppb.Timestamp

func (*GenericOperationMetadata) GetPartialFailures

func (x *GenericOperationMetadata) GetPartialFailures() []*status.Status

func (*GenericOperationMetadata) GetUpdateTime

func (x *GenericOperationMetadata) GetUpdateTime() *timestamppb.Timestamp

func (*GenericOperationMetadata) ProtoMessage

func (*GenericOperationMetadata) ProtoMessage()

func (*GenericOperationMetadata) ProtoReflect

func (x *GenericOperationMetadata) ProtoReflect() protoreflect.Message

func (*GenericOperationMetadata) Reset

func (x *GenericOperationMetadata) Reset()

func (*GenericOperationMetadata) String

func (x *GenericOperationMetadata) String() string

GetAnnotationSpecRequest

type GetAnnotationSpecRequest struct {

	// Required. The name of the AnnotationSpec resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].

func (*GetAnnotationSpecRequest) Descriptor

func (*GetAnnotationSpecRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetAnnotationSpecRequest.ProtoReflect.Descriptor instead.

func (*GetAnnotationSpecRequest) GetName

func (x *GetAnnotationSpecRequest) GetName() string

func (*GetAnnotationSpecRequest) GetReadMask

func (x *GetAnnotationSpecRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*GetAnnotationSpecRequest) ProtoMessage

func (*GetAnnotationSpecRequest) ProtoMessage()

func (*GetAnnotationSpecRequest) ProtoReflect

func (x *GetAnnotationSpecRequest) ProtoReflect() protoreflect.Message

func (*GetAnnotationSpecRequest) Reset

func (x *GetAnnotationSpecRequest) Reset()

func (*GetAnnotationSpecRequest) String

func (x *GetAnnotationSpecRequest) String() string

GetArtifactRequest

type GetArtifactRequest struct {

	// Required. The resource name of the Artifact to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].

func (*GetArtifactRequest) Descriptor

func (*GetArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetArtifactRequest.ProtoReflect.Descriptor instead.

func (*GetArtifactRequest) GetName

func (x *GetArtifactRequest) GetName() string

func (*GetArtifactRequest) ProtoMessage

func (*GetArtifactRequest) ProtoMessage()

func (*GetArtifactRequest) ProtoReflect

func (x *GetArtifactRequest) ProtoReflect() protoreflect.Message

func (*GetArtifactRequest) Reset

func (x *GetArtifactRequest) Reset()

func (*GetArtifactRequest) String

func (x *GetArtifactRequest) String() string

GetBatchPredictionJobRequest

type GetBatchPredictionJobRequest struct {

	// Required. The name of the BatchPredictionJob resource.
	// Format:
	// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].

func (*GetBatchPredictionJobRequest) Descriptor

func (*GetBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*GetBatchPredictionJobRequest) GetName

func (x *GetBatchPredictionJobRequest) GetName() string

func (*GetBatchPredictionJobRequest) ProtoMessage

func (*GetBatchPredictionJobRequest) ProtoMessage()

func (*GetBatchPredictionJobRequest) ProtoReflect

func (x *GetBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*GetBatchPredictionJobRequest) Reset

func (x *GetBatchPredictionJobRequest) Reset()

func (*GetBatchPredictionJobRequest) String

func (x *GetBatchPredictionJobRequest) String() string

GetContextRequest

type GetContextRequest struct {

	// Required. The resource name of the Context to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].

func (*GetContextRequest) Descriptor

func (*GetContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetContextRequest.ProtoReflect.Descriptor instead.

func (*GetContextRequest) GetName

func (x *GetContextRequest) GetName() string

func (*GetContextRequest) ProtoMessage

func (*GetContextRequest) ProtoMessage()

func (*GetContextRequest) ProtoReflect

func (x *GetContextRequest) ProtoReflect() protoreflect.Message

func (*GetContextRequest) Reset

func (x *GetContextRequest) Reset()

func (*GetContextRequest) String

func (x *GetContextRequest) String() string

GetCustomJobRequest

type GetCustomJobRequest struct {

	// Required. The name of the CustomJob resource.
	// Format:
	// `projects/{project}/locations/{location}/customJobs/{custom_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].

func (*GetCustomJobRequest) Descriptor

func (*GetCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetCustomJobRequest.ProtoReflect.Descriptor instead.

func (*GetCustomJobRequest) GetName

func (x *GetCustomJobRequest) GetName() string

func (*GetCustomJobRequest) ProtoMessage

func (*GetCustomJobRequest) ProtoMessage()

func (*GetCustomJobRequest) ProtoReflect

func (x *GetCustomJobRequest) ProtoReflect() protoreflect.Message

func (*GetCustomJobRequest) Reset

func (x *GetCustomJobRequest) Reset()

func (*GetCustomJobRequest) String

func (x *GetCustomJobRequest) String() string

GetDataLabelingJobRequest

type GetDataLabelingJobRequest struct {

	// Required. The name of the DataLabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].

func (*GetDataLabelingJobRequest) Descriptor

func (*GetDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*GetDataLabelingJobRequest) GetName

func (x *GetDataLabelingJobRequest) GetName() string

func (*GetDataLabelingJobRequest) ProtoMessage

func (*GetDataLabelingJobRequest) ProtoMessage()

func (*GetDataLabelingJobRequest) ProtoReflect

func (x *GetDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*GetDataLabelingJobRequest) Reset

func (x *GetDataLabelingJobRequest) Reset()

func (*GetDataLabelingJobRequest) String

func (x *GetDataLabelingJobRequest) String() string

GetDatasetRequest

type GetDatasetRequest struct {

	// Required. The name of the Dataset resource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].

func (*GetDatasetRequest) Descriptor

func (*GetDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetDatasetRequest.ProtoReflect.Descriptor instead.

func (*GetDatasetRequest) GetName

func (x *GetDatasetRequest) GetName() string

func (*GetDatasetRequest) GetReadMask

func (x *GetDatasetRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*GetDatasetRequest) ProtoMessage

func (*GetDatasetRequest) ProtoMessage()

func (*GetDatasetRequest) ProtoReflect

func (x *GetDatasetRequest) ProtoReflect() protoreflect.Message

func (*GetDatasetRequest) Reset

func (x *GetDatasetRequest) Reset()

func (*GetDatasetRequest) String

func (x *GetDatasetRequest) String() string

GetEndpointRequest

type GetEndpointRequest struct {

	// Required. The name of the Endpoint resource.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]

func (*GetEndpointRequest) Descriptor

func (*GetEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetEndpointRequest.ProtoReflect.Descriptor instead.

func (*GetEndpointRequest) GetName

func (x *GetEndpointRequest) GetName() string

func (*GetEndpointRequest) ProtoMessage

func (*GetEndpointRequest) ProtoMessage()

func (*GetEndpointRequest) ProtoReflect

func (x *GetEndpointRequest) ProtoReflect() protoreflect.Message

func (*GetEndpointRequest) Reset

func (x *GetEndpointRequest) Reset()

func (*GetEndpointRequest) String

func (x *GetEndpointRequest) String() string

GetEntityTypeRequest

type GetEntityTypeRequest struct {

	// Required. The name of the EntityType resource.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].

func (*GetEntityTypeRequest) Descriptor

func (*GetEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*GetEntityTypeRequest) GetName

func (x *GetEntityTypeRequest) GetName() string

func (*GetEntityTypeRequest) ProtoMessage

func (*GetEntityTypeRequest) ProtoMessage()

func (*GetEntityTypeRequest) ProtoReflect

func (x *GetEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*GetEntityTypeRequest) Reset

func (x *GetEntityTypeRequest) Reset()

func (*GetEntityTypeRequest) String

func (x *GetEntityTypeRequest) String() string

GetExecutionRequest

type GetExecutionRequest struct {

	// Required. The resource name of the Execution to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].

func (*GetExecutionRequest) Descriptor

func (*GetExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetExecutionRequest.ProtoReflect.Descriptor instead.

func (*GetExecutionRequest) GetName

func (x *GetExecutionRequest) GetName() string

func (*GetExecutionRequest) ProtoMessage

func (*GetExecutionRequest) ProtoMessage()

func (*GetExecutionRequest) ProtoReflect

func (x *GetExecutionRequest) ProtoReflect() protoreflect.Message

func (*GetExecutionRequest) Reset

func (x *GetExecutionRequest) Reset()

func (*GetExecutionRequest) String

func (x *GetExecutionRequest) String() string

GetFeatureRequest

type GetFeatureRequest struct {

	// Required. The name of the Feature resource.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].

func (*GetFeatureRequest) Descriptor

func (*GetFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetFeatureRequest.ProtoReflect.Descriptor instead.

func (*GetFeatureRequest) GetName

func (x *GetFeatureRequest) GetName() string

func (*GetFeatureRequest) ProtoMessage

func (*GetFeatureRequest) ProtoMessage()

func (*GetFeatureRequest) ProtoReflect

func (x *GetFeatureRequest) ProtoReflect() protoreflect.Message

func (*GetFeatureRequest) Reset

func (x *GetFeatureRequest) Reset()

func (*GetFeatureRequest) String

func (x *GetFeatureRequest) String() string

GetFeaturestoreRequest

type GetFeaturestoreRequest struct {

	// Required. The name of the Featurestore resource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].

func (*GetFeaturestoreRequest) Descriptor

func (*GetFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*GetFeaturestoreRequest) GetName

func (x *GetFeaturestoreRequest) GetName() string

func (*GetFeaturestoreRequest) ProtoMessage

func (*GetFeaturestoreRequest) ProtoMessage()

func (*GetFeaturestoreRequest) ProtoReflect

func (x *GetFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*GetFeaturestoreRequest) Reset

func (x *GetFeaturestoreRequest) Reset()

func (*GetFeaturestoreRequest) String

func (x *GetFeaturestoreRequest) String() string

GetHyperparameterTuningJobRequest

type GetHyperparameterTuningJobRequest struct {

	// Required. The name of the HyperparameterTuningJob resource.
	// Format:
	// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].

func (*GetHyperparameterTuningJobRequest) Descriptor

func (*GetHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*GetHyperparameterTuningJobRequest) GetName

func (x *GetHyperparameterTuningJobRequest) GetName() string

func (*GetHyperparameterTuningJobRequest) ProtoMessage

func (*GetHyperparameterTuningJobRequest) ProtoMessage()

func (*GetHyperparameterTuningJobRequest) ProtoReflect

func (x *GetHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*GetHyperparameterTuningJobRequest) Reset

func (x *GetHyperparameterTuningJobRequest) Reset()

func (*GetHyperparameterTuningJobRequest) String

func (x *GetHyperparameterTuningJobRequest) String() string

GetIndexEndpointRequest

type GetIndexEndpointRequest struct {

	// Required. The name of the IndexEndpoint resource.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]

func (*GetIndexEndpointRequest) Descriptor

func (*GetIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*GetIndexEndpointRequest) GetName

func (x *GetIndexEndpointRequest) GetName() string

func (*GetIndexEndpointRequest) ProtoMessage

func (*GetIndexEndpointRequest) ProtoMessage()

func (*GetIndexEndpointRequest) ProtoReflect

func (x *GetIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*GetIndexEndpointRequest) Reset

func (x *GetIndexEndpointRequest) Reset()

func (*GetIndexEndpointRequest) String

func (x *GetIndexEndpointRequest) String() string

GetIndexRequest

type GetIndexRequest struct {

	// Required. The name of the Index resource.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]

func (*GetIndexRequest) Descriptor

func (*GetIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetIndexRequest.ProtoReflect.Descriptor instead.

func (*GetIndexRequest) GetName

func (x *GetIndexRequest) GetName() string

func (*GetIndexRequest) ProtoMessage

func (*GetIndexRequest) ProtoMessage()

func (*GetIndexRequest) ProtoReflect

func (x *GetIndexRequest) ProtoReflect() protoreflect.Message

func (*GetIndexRequest) Reset

func (x *GetIndexRequest) Reset()

func (*GetIndexRequest) String

func (x *GetIndexRequest) String() string

GetMetadataSchemaRequest

type GetMetadataSchemaRequest struct {

	// Required. The resource name of the MetadataSchema to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].

func (*GetMetadataSchemaRequest) Descriptor

func (*GetMetadataSchemaRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetMetadataSchemaRequest.ProtoReflect.Descriptor instead.

func (*GetMetadataSchemaRequest) GetName

func (x *GetMetadataSchemaRequest) GetName() string

func (*GetMetadataSchemaRequest) ProtoMessage

func (*GetMetadataSchemaRequest) ProtoMessage()

func (*GetMetadataSchemaRequest) ProtoReflect

func (x *GetMetadataSchemaRequest) ProtoReflect() protoreflect.Message

func (*GetMetadataSchemaRequest) Reset

func (x *GetMetadataSchemaRequest) Reset()

func (*GetMetadataSchemaRequest) String

func (x *GetMetadataSchemaRequest) String() string

GetMetadataStoreRequest

type GetMetadataStoreRequest struct {

	// Required. The resource name of the MetadataStore to retrieve.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].

func (*GetMetadataStoreRequest) Descriptor

func (*GetMetadataStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetMetadataStoreRequest.ProtoReflect.Descriptor instead.

func (*GetMetadataStoreRequest) GetName

func (x *GetMetadataStoreRequest) GetName() string

func (*GetMetadataStoreRequest) ProtoMessage

func (*GetMetadataStoreRequest) ProtoMessage()

func (*GetMetadataStoreRequest) ProtoReflect

func (x *GetMetadataStoreRequest) ProtoReflect() protoreflect.Message

func (*GetMetadataStoreRequest) Reset

func (x *GetMetadataStoreRequest) Reset()

func (*GetMetadataStoreRequest) String

func (x *GetMetadataStoreRequest) String() string

GetModelDeploymentMonitoringJobRequest

type GetModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the ModelDeploymentMonitoringJob.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob].

func (*GetModelDeploymentMonitoringJobRequest) Descriptor

func (*GetModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*GetModelDeploymentMonitoringJobRequest) GetName

func (x *GetModelDeploymentMonitoringJobRequest) GetName() string

func (*GetModelDeploymentMonitoringJobRequest) ProtoMessage

func (*GetModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*GetModelDeploymentMonitoringJobRequest) ProtoReflect

func (x *GetModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*GetModelDeploymentMonitoringJobRequest) Reset

func (x *GetModelDeploymentMonitoringJobRequest) Reset()

func (*GetModelDeploymentMonitoringJobRequest) String

func (x *GetModelDeploymentMonitoringJobRequest) String() string

GetModelEvaluationRequest

type GetModelEvaluationRequest struct {

	// Required. The name of the ModelEvaluation resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].

func (*GetModelEvaluationRequest) Descriptor

func (*GetModelEvaluationRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelEvaluationRequest.ProtoReflect.Descriptor instead.

func (*GetModelEvaluationRequest) GetName

func (x *GetModelEvaluationRequest) GetName() string

func (*GetModelEvaluationRequest) ProtoMessage

func (*GetModelEvaluationRequest) ProtoMessage()

func (*GetModelEvaluationRequest) ProtoReflect

func (x *GetModelEvaluationRequest) ProtoReflect() protoreflect.Message

func (*GetModelEvaluationRequest) Reset

func (x *GetModelEvaluationRequest) Reset()

func (*GetModelEvaluationRequest) String

func (x *GetModelEvaluationRequest) String() string

GetModelEvaluationSliceRequest

type GetModelEvaluationSliceRequest struct {

	// Required. The name of the ModelEvaluationSlice resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].

func (*GetModelEvaluationSliceRequest) Descriptor

func (*GetModelEvaluationSliceRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelEvaluationSliceRequest.ProtoReflect.Descriptor instead.

func (*GetModelEvaluationSliceRequest) GetName

func (x *GetModelEvaluationSliceRequest) GetName() string

func (*GetModelEvaluationSliceRequest) ProtoMessage

func (*GetModelEvaluationSliceRequest) ProtoMessage()

func (*GetModelEvaluationSliceRequest) ProtoReflect

func (x *GetModelEvaluationSliceRequest) ProtoReflect() protoreflect.Message

func (*GetModelEvaluationSliceRequest) Reset

func (x *GetModelEvaluationSliceRequest) Reset()

func (*GetModelEvaluationSliceRequest) String

func (x *GetModelEvaluationSliceRequest) String() string

GetModelRequest

type GetModelRequest struct {

	// Required. The name of the Model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	//
	// In order to retrieve a specific version of the model, also provide
	// the version ID or version alias.
	//   Example: `projects/{project}/locations/{location}/models/{model}@2`
	//              or
	//            `projects/{project}/locations/{location}/models/{model}@golden`
	// If no version ID or alias is specified, the "default" version will be
	// returned. The "default" version alias is created for the first version of
	// the model, and can be moved to other versions later on. There will be
	// exactly one default version.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].

func (*GetModelRequest) Descriptor

func (*GetModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelRequest.ProtoReflect.Descriptor instead.

func (*GetModelRequest) GetName

func (x *GetModelRequest) GetName() string

func (*GetModelRequest) ProtoMessage

func (*GetModelRequest) ProtoMessage()

func (*GetModelRequest) ProtoReflect

func (x *GetModelRequest) ProtoReflect() protoreflect.Message

func (*GetModelRequest) Reset

func (x *GetModelRequest) Reset()

func (*GetModelRequest) String

func (x *GetModelRequest) String() string

GetNasJobRequest

type GetNasJobRequest struct {

	// Required. The name of the NasJob resource.
	// Format:
	// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob].

func (*GetNasJobRequest) Descriptor

func (*GetNasJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetNasJobRequest.ProtoReflect.Descriptor instead.

func (*GetNasJobRequest) GetName

func (x *GetNasJobRequest) GetName() string

func (*GetNasJobRequest) ProtoMessage

func (*GetNasJobRequest) ProtoMessage()

func (*GetNasJobRequest) ProtoReflect

func (x *GetNasJobRequest) ProtoReflect() protoreflect.Message

func (*GetNasJobRequest) Reset

func (x *GetNasJobRequest) Reset()

func (*GetNasJobRequest) String

func (x *GetNasJobRequest) String() string

GetNasTrialDetailRequest

type GetNasTrialDetailRequest struct {

	// Required. The name of the NasTrialDetail resource.
	// Format:
	// `projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetNasTrialDetail][google.cloud.aiplatform.v1.JobService.GetNasTrialDetail].

func (*GetNasTrialDetailRequest) Descriptor

func (*GetNasTrialDetailRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetNasTrialDetailRequest.ProtoReflect.Descriptor instead.

func (*GetNasTrialDetailRequest) GetName

func (x *GetNasTrialDetailRequest) GetName() string

func (*GetNasTrialDetailRequest) ProtoMessage

func (*GetNasTrialDetailRequest) ProtoMessage()

func (*GetNasTrialDetailRequest) ProtoReflect

func (x *GetNasTrialDetailRequest) ProtoReflect() protoreflect.Message

func (*GetNasTrialDetailRequest) Reset

func (x *GetNasTrialDetailRequest) Reset()

func (*GetNasTrialDetailRequest) String

func (x *GetNasTrialDetailRequest) String() string

GetPipelineJobRequest

type GetPipelineJobRequest struct {

	// Required. The name of the PipelineJob resource.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].

func (*GetPipelineJobRequest) Descriptor

func (*GetPipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetPipelineJobRequest.ProtoReflect.Descriptor instead.

func (*GetPipelineJobRequest) GetName

func (x *GetPipelineJobRequest) GetName() string

func (*GetPipelineJobRequest) ProtoMessage

func (*GetPipelineJobRequest) ProtoMessage()

func (*GetPipelineJobRequest) ProtoReflect

func (x *GetPipelineJobRequest) ProtoReflect() protoreflect.Message

func (*GetPipelineJobRequest) Reset

func (x *GetPipelineJobRequest) Reset()

func (*GetPipelineJobRequest) String

func (x *GetPipelineJobRequest) String() string

GetSpecialistPoolRequest

type GetSpecialistPoolRequest struct {

	// Required. The name of the SpecialistPool resource.
	// The form is
	// `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].

func (*GetSpecialistPoolRequest) Descriptor

func (*GetSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*GetSpecialistPoolRequest) GetName

func (x *GetSpecialistPoolRequest) GetName() string

func (*GetSpecialistPoolRequest) ProtoMessage

func (*GetSpecialistPoolRequest) ProtoMessage()

func (*GetSpecialistPoolRequest) ProtoReflect

func (x *GetSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*GetSpecialistPoolRequest) Reset

func (x *GetSpecialistPoolRequest) Reset()

func (*GetSpecialistPoolRequest) String

func (x *GetSpecialistPoolRequest) String() string

GetStudyRequest

type GetStudyRequest struct {

	// Required. The name of the Study resource.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].

func (*GetStudyRequest) Descriptor

func (*GetStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetStudyRequest.ProtoReflect.Descriptor instead.

func (*GetStudyRequest) GetName

func (x *GetStudyRequest) GetName() string

func (*GetStudyRequest) ProtoMessage

func (*GetStudyRequest) ProtoMessage()

func (*GetStudyRequest) ProtoReflect

func (x *GetStudyRequest) ProtoReflect() protoreflect.Message

func (*GetStudyRequest) Reset

func (x *GetStudyRequest) Reset()

func (*GetStudyRequest) String

func (x *GetStudyRequest) String() string

GetTensorboardExperimentRequest

type GetTensorboardExperimentRequest struct {

	// Required. The name of the TensorboardExperiment resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].

func (*GetTensorboardExperimentRequest) Descriptor

func (*GetTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardExperimentRequest) GetName

func (x *GetTensorboardExperimentRequest) GetName() string

func (*GetTensorboardExperimentRequest) ProtoMessage

func (*GetTensorboardExperimentRequest) ProtoMessage()

func (*GetTensorboardExperimentRequest) ProtoReflect

func (x *GetTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardExperimentRequest) Reset

func (x *GetTensorboardExperimentRequest) Reset()

func (*GetTensorboardExperimentRequest) String

func (x *GetTensorboardExperimentRequest) String() string

GetTensorboardRequest

type GetTensorboardRequest struct {

	// Required. The name of the Tensorboard resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].

func (*GetTensorboardRequest) Descriptor

func (*GetTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardRequest) GetName

func (x *GetTensorboardRequest) GetName() string

func (*GetTensorboardRequest) ProtoMessage

func (*GetTensorboardRequest) ProtoMessage()

func (*GetTensorboardRequest) ProtoReflect

func (x *GetTensorboardRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardRequest) Reset

func (x *GetTensorboardRequest) Reset()

func (*GetTensorboardRequest) String

func (x *GetTensorboardRequest) String() string

GetTensorboardRunRequest

type GetTensorboardRunRequest struct {

	// Required. The name of the TensorboardRun resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].

func (*GetTensorboardRunRequest) Descriptor

func (*GetTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardRunRequest) GetName

func (x *GetTensorboardRunRequest) GetName() string

func (*GetTensorboardRunRequest) ProtoMessage

func (*GetTensorboardRunRequest) ProtoMessage()

func (*GetTensorboardRunRequest) ProtoReflect

func (x *GetTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardRunRequest) Reset

func (x *GetTensorboardRunRequest) Reset()

func (*GetTensorboardRunRequest) String

func (x *GetTensorboardRunRequest) String() string

GetTensorboardTimeSeriesRequest

type GetTensorboardTimeSeriesRequest struct {

	// Required. The name of the TensorboardTimeSeries resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].

func (*GetTensorboardTimeSeriesRequest) Descriptor

func (*GetTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardTimeSeriesRequest) GetName

func (x *GetTensorboardTimeSeriesRequest) GetName() string

func (*GetTensorboardTimeSeriesRequest) ProtoMessage

func (*GetTensorboardTimeSeriesRequest) ProtoMessage()

func (*GetTensorboardTimeSeriesRequest) ProtoReflect

func (x *GetTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardTimeSeriesRequest) Reset

func (x *GetTensorboardTimeSeriesRequest) Reset()

func (*GetTensorboardTimeSeriesRequest) String

func (x *GetTensorboardTimeSeriesRequest) String() string

GetTrainingPipelineRequest

type GetTrainingPipelineRequest struct {

	// Required. The name of the TrainingPipeline resource.
	// Format:
	// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].

func (*GetTrainingPipelineRequest) Descriptor

func (*GetTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*GetTrainingPipelineRequest) GetName

func (x *GetTrainingPipelineRequest) GetName() string

func (*GetTrainingPipelineRequest) ProtoMessage

func (*GetTrainingPipelineRequest) ProtoMessage()

func (*GetTrainingPipelineRequest) ProtoReflect

func (x *GetTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*GetTrainingPipelineRequest) Reset

func (x *GetTrainingPipelineRequest) Reset()

func (*GetTrainingPipelineRequest) String

func (x *GetTrainingPipelineRequest) String() string

GetTrialRequest

type GetTrialRequest struct {

	// Required. The name of the Trial resource.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].

func (*GetTrialRequest) Descriptor

func (*GetTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTrialRequest.ProtoReflect.Descriptor instead.

func (*GetTrialRequest) GetName

func (x *GetTrialRequest) GetName() string

func (*GetTrialRequest) ProtoMessage

func (*GetTrialRequest) ProtoMessage()

func (*GetTrialRequest) ProtoReflect

func (x *GetTrialRequest) ProtoReflect() protoreflect.Message

func (*GetTrialRequest) Reset

func (x *GetTrialRequest) Reset()

func (*GetTrialRequest) String

func (x *GetTrialRequest) String() string

HyperparameterTuningJob

type HyperparameterTuningJob struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	StudySpec *StudySpec `protobuf:"bytes,4,opt,name=study_spec,json=studySpec,proto3" json:"study_spec,omitempty"`

	MaxTrialCount int32 `protobuf:"varint,5,opt,name=max_trial_count,json=maxTrialCount,proto3" json:"max_trial_count,omitempty"`

	ParallelTrialCount int32 `protobuf:"varint,6,opt,name=parallel_trial_count,json=parallelTrialCount,proto3" json:"parallel_trial_count,omitempty"`

	MaxFailedTrialCount int32 `protobuf:"varint,7,opt,name=max_failed_trial_count,json=maxFailedTrialCount,proto3" json:"max_failed_trial_count,omitempty"`

	TrialJobSpec *CustomJobSpec `protobuf:"bytes,8,opt,name=trial_job_spec,json=trialJobSpec,proto3" json:"trial_job_spec,omitempty"`

	Trials []*Trial `protobuf:"bytes,9,rep,name=trials,proto3" json:"trials,omitempty"`

	State JobState `protobuf:"varint,10,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	StartTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Error *status.Status `protobuf:"bytes,15,opt,name=error,proto3" json:"error,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,17,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

}

Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.

func (*HyperparameterTuningJob) Descriptor

func (*HyperparameterTuningJob) Descriptor() ([]byte, []int)

Deprecated: Use HyperparameterTuningJob.ProtoReflect.Descriptor instead.

func (*HyperparameterTuningJob) GetCreateTime

func (x *HyperparameterTuningJob) GetCreateTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) GetDisplayName

func (x *HyperparameterTuningJob) GetDisplayName() string

func (*HyperparameterTuningJob) GetEncryptionSpec

func (x *HyperparameterTuningJob) GetEncryptionSpec() *EncryptionSpec

func (*HyperparameterTuningJob) GetEndTime

func (x *HyperparameterTuningJob) GetEndTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) GetError

func (x *HyperparameterTuningJob) GetError() *status.Status

func (*HyperparameterTuningJob) GetLabels

func (x *HyperparameterTuningJob) GetLabels() map[string]string

func (*HyperparameterTuningJob) GetMaxFailedTrialCount

func (x *HyperparameterTuningJob) GetMaxFailedTrialCount() int32

func (*HyperparameterTuningJob) GetMaxTrialCount

func (x *HyperparameterTuningJob) GetMaxTrialCount() int32

func (*HyperparameterTuningJob) GetName

func (x *HyperparameterTuningJob) GetName() string

func (*HyperparameterTuningJob) GetParallelTrialCount

func (x *HyperparameterTuningJob) GetParallelTrialCount() int32

func (*HyperparameterTuningJob) GetStartTime

func (x *HyperparameterTuningJob) GetStartTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) GetState

func (x *HyperparameterTuningJob) GetState() JobState

func (*HyperparameterTuningJob) GetStudySpec

func (x *HyperparameterTuningJob) GetStudySpec() *StudySpec

func (*HyperparameterTuningJob) GetTrialJobSpec

func (x *HyperparameterTuningJob) GetTrialJobSpec() *CustomJobSpec

func (*HyperparameterTuningJob) GetTrials

func (x *HyperparameterTuningJob) GetTrials() []*Trial

func (*HyperparameterTuningJob) GetUpdateTime

func (x *HyperparameterTuningJob) GetUpdateTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) ProtoMessage

func (*HyperparameterTuningJob) ProtoMessage()

func (*HyperparameterTuningJob) ProtoReflect

func (x *HyperparameterTuningJob) ProtoReflect() protoreflect.Message

func (*HyperparameterTuningJob) Reset

func (x *HyperparameterTuningJob) Reset()

func (*HyperparameterTuningJob) String

func (x *HyperparameterTuningJob) String() string

IdMatcher

type IdMatcher struct {

	// Required. The following are accepted as `ids`:
	//
	//  * A single-element list containing only `*`, which selects all Features
	//  in the target EntityType, or
	//  * A list containing only Feature IDs, which selects only Features with
	//  those IDs in the target EntityType.
	Ids []string `protobuf:"bytes,1,rep,name=ids,proto3" json:"ids,omitempty"`
	// contains filtered or unexported fields
}

Matcher for Features of an EntityType by Feature ID.

func (*IdMatcher) Descriptor

func (*IdMatcher) Descriptor() ([]byte, []int)

Deprecated: Use IdMatcher.ProtoReflect.Descriptor instead.

func (*IdMatcher) GetIds

func (x *IdMatcher) GetIds() []string

func (*IdMatcher) ProtoMessage

func (*IdMatcher) ProtoMessage()

func (*IdMatcher) ProtoReflect

func (x *IdMatcher) ProtoReflect() protoreflect.Message

func (*IdMatcher) Reset

func (x *IdMatcher) Reset()

func (*IdMatcher) String

func (x *IdMatcher) String() string

ImportDataConfig

type ImportDataConfig struct {
	Source isImportDataConfig_Source `protobuf_oneof:"source"`

	DataItemLabels map[string]string "" /* 193 byte string literal not displayed */

	AnnotationLabels map[string]string "" /* 197 byte string literal not displayed */

	ImportSchemaUri string `protobuf:"bytes,4,opt,name=import_schema_uri,json=importSchemaUri,proto3" json:"import_schema_uri,omitempty"`

}

Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.

func (*ImportDataConfig) Descriptor

func (*ImportDataConfig) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataConfig.ProtoReflect.Descriptor instead.

func (*ImportDataConfig) GetAnnotationLabels

func (x *ImportDataConfig) GetAnnotationLabels() map[string]string

func (*ImportDataConfig) GetDataItemLabels

func (x *ImportDataConfig) GetDataItemLabels() map[string]string

func (*ImportDataConfig) GetGcsSource

func (x *ImportDataConfig) GetGcsSource() *GcsSource

func (*ImportDataConfig) GetImportSchemaUri

func (x *ImportDataConfig) GetImportSchemaUri() string

func (*ImportDataConfig) GetSource

func (m *ImportDataConfig) GetSource() isImportDataConfig_Source

func (*ImportDataConfig) ProtoMessage

func (*ImportDataConfig) ProtoMessage()

func (*ImportDataConfig) ProtoReflect

func (x *ImportDataConfig) ProtoReflect() protoreflect.Message

func (*ImportDataConfig) Reset

func (x *ImportDataConfig) Reset()

func (*ImportDataConfig) String

func (x *ImportDataConfig) String() string

ImportDataConfig_GcsSource

type ImportDataConfig_GcsSource struct {
	// The Google Cloud Storage location for the input content.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

ImportDataOperationMetadata

type ImportDataOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].

func (*ImportDataOperationMetadata) Descriptor

func (*ImportDataOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataOperationMetadata.ProtoReflect.Descriptor instead.

func (*ImportDataOperationMetadata) GetGenericMetadata

func (x *ImportDataOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ImportDataOperationMetadata) ProtoMessage

func (*ImportDataOperationMetadata) ProtoMessage()

func (*ImportDataOperationMetadata) ProtoReflect

func (x *ImportDataOperationMetadata) ProtoReflect() protoreflect.Message

func (*ImportDataOperationMetadata) Reset

func (x *ImportDataOperationMetadata) Reset()

func (*ImportDataOperationMetadata) String

func (x *ImportDataOperationMetadata) String() string

ImportDataRequest

type ImportDataRequest struct {

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired input locations. The contents of all input locations
	// will be imported in one batch.
	ImportConfigs []*ImportDataConfig `protobuf:"bytes,2,rep,name=import_configs,json=importConfigs,proto3" json:"import_configs,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].

func (*ImportDataRequest) Descriptor

func (*ImportDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataRequest.ProtoReflect.Descriptor instead.

func (*ImportDataRequest) GetImportConfigs

func (x *ImportDataRequest) GetImportConfigs() []*ImportDataConfig

func (*ImportDataRequest) GetName

func (x *ImportDataRequest) GetName() string

func (*ImportDataRequest) ProtoMessage

func (*ImportDataRequest) ProtoMessage()

func (*ImportDataRequest) ProtoReflect

func (x *ImportDataRequest) ProtoReflect() protoreflect.Message

func (*ImportDataRequest) Reset

func (x *ImportDataRequest) Reset()

func (*ImportDataRequest) String

func (x *ImportDataRequest) String() string

ImportDataResponse

type ImportDataResponse struct {
	// contains filtered or unexported fields
}

Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].

func (*ImportDataResponse) Descriptor

func (*ImportDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataResponse.ProtoReflect.Descriptor instead.

func (*ImportDataResponse) ProtoMessage

func (*ImportDataResponse) ProtoMessage()

func (*ImportDataResponse) ProtoReflect

func (x *ImportDataResponse) ProtoReflect() protoreflect.Message

func (*ImportDataResponse) Reset

func (x *ImportDataResponse) Reset()

func (*ImportDataResponse) String

func (x *ImportDataResponse) String() string

ImportFeatureValuesOperationMetadata

type ImportFeatureValuesOperationMetadata struct {
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`

	ImportedEntityCount int64 `protobuf:"varint,2,opt,name=imported_entity_count,json=importedEntityCount,proto3" json:"imported_entity_count,omitempty"`

	ImportedFeatureValueCount int64 "" /* 141 byte string literal not displayed */

	SourceUris []string `protobuf:"bytes,4,rep,name=source_uris,json=sourceUris,proto3" json:"source_uris,omitempty"`

	InvalidRowCount int64 `protobuf:"varint,6,opt,name=invalid_row_count,json=invalidRowCount,proto3" json:"invalid_row_count,omitempty"`

	TimestampOutsideRetentionRowsCount int64 "" /* 170 byte string literal not displayed */

}

Details of operations that perform import Feature values.

func (*ImportFeatureValuesOperationMetadata) Descriptor

func (*ImportFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesOperationMetadata) GetGenericMetadata

func (x *ImportFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ImportFeatureValuesOperationMetadata) GetImportedEntityCount

func (x *ImportFeatureValuesOperationMetadata) GetImportedEntityCount() int64

func (*ImportFeatureValuesOperationMetadata) GetImportedFeatureValueCount

func (x *ImportFeatureValuesOperationMetadata) GetImportedFeatureValueCount() int64

func (*ImportFeatureValuesOperationMetadata) GetInvalidRowCount

func (x *ImportFeatureValuesOperationMetadata) GetInvalidRowCount() int64

func (*ImportFeatureValuesOperationMetadata) GetSourceUris

func (x *ImportFeatureValuesOperationMetadata) GetSourceUris() []string

func (*ImportFeatureValuesOperationMetadata) GetTimestampOutsideRetentionRowsCount

func (x *ImportFeatureValuesOperationMetadata) GetTimestampOutsideRetentionRowsCount() int64

func (*ImportFeatureValuesOperationMetadata) ProtoMessage

func (*ImportFeatureValuesOperationMetadata) ProtoMessage()

func (*ImportFeatureValuesOperationMetadata) ProtoReflect

func (x *ImportFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesOperationMetadata) Reset

func (x *ImportFeatureValuesOperationMetadata) Reset()

func (*ImportFeatureValuesOperationMetadata) String

func (x *ImportFeatureValuesOperationMetadata) String() string

ImportFeatureValuesRequest

type ImportFeatureValuesRequest struct {
	Source isImportFeatureValuesRequest_Source `protobuf_oneof:"source"`

	FeatureTimeSource isImportFeatureValuesRequest_FeatureTimeSource `protobuf_oneof:"feature_time_source"`

	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`

	EntityIdField string `protobuf:"bytes,5,opt,name=entity_id_field,json=entityIdField,proto3" json:"entity_id_field,omitempty"`

	FeatureSpecs []*ImportFeatureValuesRequest_FeatureSpec `protobuf:"bytes,8,rep,name=feature_specs,json=featureSpecs,proto3" json:"feature_specs,omitempty"`

	DisableOnlineServing bool `protobuf:"varint,9,opt,name=disable_online_serving,json=disableOnlineServing,proto3" json:"disable_online_serving,omitempty"`

	WorkerCount int32 `protobuf:"varint,11,opt,name=worker_count,json=workerCount,proto3" json:"worker_count,omitempty"`

	DisableIngestionAnalysis bool "" /* 137 byte string literal not displayed */

}

Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].

func (*ImportFeatureValuesRequest) Descriptor

func (*ImportFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesRequest) GetAvroSource

func (x *ImportFeatureValuesRequest) GetAvroSource() *AvroSource

func (*ImportFeatureValuesRequest) GetBigquerySource

func (x *ImportFeatureValuesRequest) GetBigquerySource() *BigQuerySource

func (*ImportFeatureValuesRequest) GetCsvSource

func (x *ImportFeatureValuesRequest) GetCsvSource() *CsvSource

func (*ImportFeatureValuesRequest) GetDisableIngestionAnalysis

func (x *ImportFeatureValuesRequest) GetDisableIngestionAnalysis() bool

func (*ImportFeatureValuesRequest) GetDisableOnlineServing

func (x *ImportFeatureValuesRequest) GetDisableOnlineServing() bool

func (*ImportFeatureValuesRequest) GetEntityIdField

func (x *ImportFeatureValuesRequest) GetEntityIdField() string

func (*ImportFeatureValuesRequest) GetEntityType

func (x *ImportFeatureValuesRequest) GetEntityType() string

func (*ImportFeatureValuesRequest) GetFeatureSpecs

func (x *ImportFeatureValuesRequest) GetFeatureSpecs() []*ImportFeatureValuesRequest_FeatureSpec

func (*ImportFeatureValuesRequest) GetFeatureTime

func (x *ImportFeatureValuesRequest) GetFeatureTime() *timestamppb.Timestamp

func (*ImportFeatureValuesRequest) GetFeatureTimeField

func (x *ImportFeatureValuesRequest) GetFeatureTimeField() string

func (*ImportFeatureValuesRequest) GetFeatureTimeSource

func (m *ImportFeatureValuesRequest) GetFeatureTimeSource() isImportFeatureValuesRequest_FeatureTimeSource

func (*ImportFeatureValuesRequest) GetSource

func (m *ImportFeatureValuesRequest) GetSource() isImportFeatureValuesRequest_Source

func (*ImportFeatureValuesRequest) GetWorkerCount

func (x *ImportFeatureValuesRequest) GetWorkerCount() int32

func (*ImportFeatureValuesRequest) ProtoMessage

func (*ImportFeatureValuesRequest) ProtoMessage()

func (*ImportFeatureValuesRequest) ProtoReflect

func (x *ImportFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesRequest) Reset

func (x *ImportFeatureValuesRequest) Reset()

func (*ImportFeatureValuesRequest) String

func (x *ImportFeatureValuesRequest) String() string

ImportFeatureValuesRequest_AvroSource

type ImportFeatureValuesRequest_AvroSource struct {
	AvroSource *AvroSource `protobuf:"bytes,2,opt,name=avro_source,json=avroSource,proto3,oneof"`
}

ImportFeatureValuesRequest_BigquerySource

type ImportFeatureValuesRequest_BigquerySource struct {
	BigquerySource *BigQuerySource `protobuf:"bytes,3,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}

ImportFeatureValuesRequest_CsvSource

type ImportFeatureValuesRequest_CsvSource struct {
	CsvSource *CsvSource `protobuf:"bytes,4,opt,name=csv_source,json=csvSource,proto3,oneof"`
}

ImportFeatureValuesRequest_FeatureSpec

type ImportFeatureValuesRequest_FeatureSpec struct {

	// Required. ID of the Feature to import values of. This Feature must exist
	// in the target EntityType, or the request will fail.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Source column to get the Feature values from. If not set, uses the column
	// with the same name as the Feature ID.
	SourceField string `protobuf:"bytes,2,opt,name=source_field,json=sourceField,proto3" json:"source_field,omitempty"`
	// contains filtered or unexported fields
}

Defines the Feature value(s) to import.

func (*ImportFeatureValuesRequest_FeatureSpec) Descriptor

func (*ImportFeatureValuesRequest_FeatureSpec) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesRequest_FeatureSpec.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesRequest_FeatureSpec) GetId

func (x *ImportFeatureValuesRequest_FeatureSpec) GetId() string

func (*ImportFeatureValuesRequest_FeatureSpec) GetSourceField

func (x *ImportFeatureValuesRequest_FeatureSpec) GetSourceField() string

func (*ImportFeatureValuesRequest_FeatureSpec) ProtoMessage

func (*ImportFeatureValuesRequest_FeatureSpec) ProtoMessage()

func (*ImportFeatureValuesRequest_FeatureSpec) ProtoReflect

func (x *ImportFeatureValuesRequest_FeatureSpec) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesRequest_FeatureSpec) Reset

func (x *ImportFeatureValuesRequest_FeatureSpec) Reset()

func (*ImportFeatureValuesRequest_FeatureSpec) String

func (x *ImportFeatureValuesRequest_FeatureSpec) String() string

ImportFeatureValuesRequest_FeatureTime

type ImportFeatureValuesRequest_FeatureTime struct {
	// Single Feature timestamp for all entities being imported. The
	// timestamp must not have higher than millisecond precision.
	FeatureTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=feature_time,json=featureTime,proto3,oneof"`
}

ImportFeatureValuesRequest_FeatureTimeField

type ImportFeatureValuesRequest_FeatureTimeField struct {
	// Source column that holds the Feature timestamp for all Feature
	// values in each entity.
	FeatureTimeField string `protobuf:"bytes,6,opt,name=feature_time_field,json=featureTimeField,proto3,oneof"`
}

ImportFeatureValuesResponse

type ImportFeatureValuesResponse struct {
	ImportedEntityCount int64 `protobuf:"varint,1,opt,name=imported_entity_count,json=importedEntityCount,proto3" json:"imported_entity_count,omitempty"`

	ImportedFeatureValueCount int64 "" /* 141 byte string literal not displayed */

	InvalidRowCount int64 `protobuf:"varint,6,opt,name=invalid_row_count,json=invalidRowCount,proto3" json:"invalid_row_count,omitempty"`

	TimestampOutsideRetentionRowsCount int64 "" /* 170 byte string literal not displayed */

}

Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].

func (*ImportFeatureValuesResponse) Descriptor

func (*ImportFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesResponse) GetImportedEntityCount

func (x *ImportFeatureValuesResponse) GetImportedEntityCount() int64

func (*ImportFeatureValuesResponse) GetImportedFeatureValueCount

func (x *ImportFeatureValuesResponse) GetImportedFeatureValueCount() int64

func (*ImportFeatureValuesResponse) GetInvalidRowCount

func (x *ImportFeatureValuesResponse) GetInvalidRowCount() int64

func (*ImportFeatureValuesResponse) GetTimestampOutsideRetentionRowsCount

func (x *ImportFeatureValuesResponse) GetTimestampOutsideRetentionRowsCount() int64

func (*ImportFeatureValuesResponse) ProtoMessage

func (*ImportFeatureValuesResponse) ProtoMessage()

func (*ImportFeatureValuesResponse) ProtoReflect

func (x *ImportFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesResponse) Reset

func (x *ImportFeatureValuesResponse) Reset()

func (*ImportFeatureValuesResponse) String

func (x *ImportFeatureValuesResponse) String() string

ImportModelEvaluationRequest

type ImportModelEvaluationRequest struct {

	// Required. The name of the parent model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. Model evaluation resource to be imported.
	ModelEvaluation *ModelEvaluation `protobuf:"bytes,2,opt,name=model_evaluation,json=modelEvaluation,proto3" json:"model_evaluation,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]

func (*ImportModelEvaluationRequest) Descriptor

func (*ImportModelEvaluationRequest) Descriptor() ([]byte, []int)

Deprecated: Use ImportModelEvaluationRequest.ProtoReflect.Descriptor instead.

func (*ImportModelEvaluationRequest) GetModelEvaluation

func (x *ImportModelEvaluationRequest) GetModelEvaluation() *ModelEvaluation

func (*ImportModelEvaluationRequest) GetParent

func (x *ImportModelEvaluationRequest) GetParent() string

func (*ImportModelEvaluationRequest) ProtoMessage

func (*ImportModelEvaluationRequest) ProtoMessage()

func (*ImportModelEvaluationRequest) ProtoReflect

func (x *ImportModelEvaluationRequest) ProtoReflect() protoreflect.Message

func (*ImportModelEvaluationRequest) Reset

func (x *ImportModelEvaluationRequest) Reset()

func (*ImportModelEvaluationRequest) String

func (x *ImportModelEvaluationRequest) String() string

Index

type Index struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`

	MetadataSchemaUri string `protobuf:"bytes,4,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`

	Metadata *structpb.Value `protobuf:"bytes,6,opt,name=metadata,proto3" json:"metadata,omitempty"`

	DeployedIndexes []*DeployedIndexRef `protobuf:"bytes,7,rep,name=deployed_indexes,json=deployedIndexes,proto3" json:"deployed_indexes,omitempty"`

	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	IndexStats *IndexStats `protobuf:"bytes,14,opt,name=index_stats,json=indexStats,proto3" json:"index_stats,omitempty"`

	IndexUpdateMethod Index_IndexUpdateMethod "" /* 172 byte string literal not displayed */

}

A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.

func (*Index) Descriptor

func (*Index) Descriptor() ([]byte, []int)

Deprecated: Use Index.ProtoReflect.Descriptor instead.

func (*Index) GetCreateTime

func (x *Index) GetCreateTime() *timestamppb.Timestamp

func (*Index) GetDeployedIndexes

func (x *Index) GetDeployedIndexes() []*DeployedIndexRef

func (*Index) GetDescription

func (x *Index) GetDescription() string

func (*Index) GetDisplayName

func (x *Index) GetDisplayName() string

func (*Index) GetEtag

func (x *Index) GetEtag() string

func (*Index) GetIndexStats

func (x *Index) GetIndexStats() *IndexStats

func (*Index) GetIndexUpdateMethod

func (x *Index) GetIndexUpdateMethod() Index_IndexUpdateMethod

func (*Index) GetLabels

func (x *Index) GetLabels() map[string]string

func (*Index) GetMetadata

func (x *Index) GetMetadata() *structpb.Value

func (*Index) GetMetadataSchemaUri

func (x *Index) GetMetadataSchemaUri() string

func (*Index) GetName

func (x *Index) GetName() string

func (*Index) GetUpdateTime

func (x *Index) GetUpdateTime() *timestamppb.Timestamp

func (*Index) ProtoMessage

func (*Index) ProtoMessage()

func (*Index) ProtoReflect

func (x *Index) ProtoReflect() protoreflect.Message

func (*Index) Reset

func (x *Index) Reset()

func (*Index) String

func (x *Index) String() string

IndexDatapoint

type IndexDatapoint struct {

	// Required. Unique identifier of the datapoint.
	DatapointId string `protobuf:"bytes,1,opt,name=datapoint_id,json=datapointId,proto3" json:"datapoint_id,omitempty"`
	// Required. Feature embedding vector. An array of numbers with the length of
	// [NearestNeighborSearchConfig.dimensions].
	FeatureVector []float32 `protobuf:"fixed32,2,rep,packed,name=feature_vector,json=featureVector,proto3" json:"feature_vector,omitempty"`
	// Optional. List of Restrict of the datapoint, used to perform "restricted
	// searches" where boolean rule are used to filter the subset of the database
	// eligible for matching. See:
	// https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
	Restricts []*IndexDatapoint_Restriction `protobuf:"bytes,4,rep,name=restricts,proto3" json:"restricts,omitempty"`
	// Optional. CrowdingTag of the datapoint, the number of neighbors to return
	// in each crowding can be configured during query.
	CrowdingTag *IndexDatapoint_CrowdingTag `protobuf:"bytes,5,opt,name=crowding_tag,json=crowdingTag,proto3" json:"crowding_tag,omitempty"`
	// contains filtered or unexported fields
}

A datapoint of Index.

func (*IndexDatapoint) Descriptor

func (*IndexDatapoint) Descriptor() ([]byte, []int)

Deprecated: Use IndexDatapoint.ProtoReflect.Descriptor instead.

func (*IndexDatapoint) GetCrowdingTag

func (x *IndexDatapoint) GetCrowdingTag() *IndexDatapoint_CrowdingTag

func (*IndexDatapoint) GetDatapointId

func (x *IndexDatapoint) GetDatapointId() string

func (*IndexDatapoint) GetFeatureVector

func (x *IndexDatapoint) GetFeatureVector() []float32

func (*IndexDatapoint) GetRestricts

func (x *IndexDatapoint) GetRestricts() []*IndexDatapoint_Restriction

func (*IndexDatapoint) ProtoMessage

func (*IndexDatapoint) ProtoMessage()

func (*IndexDatapoint) ProtoReflect

func (x *IndexDatapoint) ProtoReflect() protoreflect.Message

func (*IndexDatapoint) Reset

func (x *IndexDatapoint) Reset()

func (*IndexDatapoint) String

func (x *IndexDatapoint) String() string

IndexDatapoint_CrowdingTag

type IndexDatapoint_CrowdingTag struct {

	// The attribute value used for crowding.  The maximum number of neighbors
	// to return per crowding attribute value
	// (per_crowding_attribute_num_neighbors) is configured per-query. This
	// field is ignored if per_crowding_attribute_num_neighbors is larger than
	// the total number of neighbors to return for a given query.
	CrowdingAttribute string `protobuf:"bytes,1,opt,name=crowding_attribute,json=crowdingAttribute,proto3" json:"crowding_attribute,omitempty"`
	// contains filtered or unexported fields
}

Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

func (*IndexDatapoint_CrowdingTag) Descriptor

func (*IndexDatapoint_CrowdingTag) Descriptor() ([]byte, []int)

Deprecated: Use IndexDatapoint_CrowdingTag.ProtoReflect.Descriptor instead.

func (*IndexDatapoint_CrowdingTag) GetCrowdingAttribute

func (x *IndexDatapoint_CrowdingTag) GetCrowdingAttribute() string

func (*IndexDatapoint_CrowdingTag) ProtoMessage

func (*IndexDatapoint_CrowdingTag) ProtoMessage()

func (*IndexDatapoint_CrowdingTag) ProtoReflect

func (x *IndexDatapoint_CrowdingTag) ProtoReflect() protoreflect.Message

func (*IndexDatapoint_CrowdingTag) Reset

func (x *IndexDatapoint_CrowdingTag) Reset()

func (*IndexDatapoint_CrowdingTag) String

func (x *IndexDatapoint_CrowdingTag) String() string

IndexDatapoint_Restriction

type IndexDatapoint_Restriction struct {

	// The namespace of this restriction. eg: color.
	Namespace string `protobuf:"bytes,1,opt,name=namespace,proto3" json:"namespace,omitempty"`
	// The attributes to allow in this namespace. eg: 'red'
	AllowList []string `protobuf:"bytes,2,rep,name=allow_list,json=allowList,proto3" json:"allow_list,omitempty"`
	// The attributes to deny in this namespace. eg: 'blue'
	DenyList []string `protobuf:"bytes,3,rep,name=deny_list,json=denyList,proto3" json:"deny_list,omitempty"`
	// contains filtered or unexported fields
}

Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).

func (*IndexDatapoint_Restriction) Descriptor

func (*IndexDatapoint_Restriction) Descriptor() ([]byte, []int)

Deprecated: Use IndexDatapoint_Restriction.ProtoReflect.Descriptor instead.

func (*IndexDatapoint_Restriction) GetAllowList

func (x *IndexDatapoint_Restriction) GetAllowList() []string

func (*IndexDatapoint_Restriction) GetDenyList

func (x *IndexDatapoint_Restriction) GetDenyList() []string

func (*IndexDatapoint_Restriction) GetNamespace

func (x *IndexDatapoint_Restriction) GetNamespace() string

func (*IndexDatapoint_Restriction) ProtoMessage

func (*IndexDatapoint_Restriction) ProtoMessage()

func (*IndexDatapoint_Restriction) ProtoReflect

func (x *IndexDatapoint_Restriction) ProtoReflect() protoreflect.Message

func (*IndexDatapoint_Restriction) Reset

func (x *IndexDatapoint_Restriction) Reset()

func (*IndexDatapoint_Restriction) String

func (x *IndexDatapoint_Restriction) String() string

IndexEndpoint

type IndexEndpoint struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`

	DeployedIndexes []*DeployedIndex `protobuf:"bytes,4,rep,name=deployed_indexes,json=deployedIndexes,proto3" json:"deployed_indexes,omitempty"`

	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Network string `protobuf:"bytes,9,opt,name=network,proto3" json:"network,omitempty"`

	EnablePrivateServiceConnect bool "" /* 148 byte string literal not displayed */

	PrivateServiceConnectConfig *PrivateServiceConnectConfig "" /* 147 byte string literal not displayed */

	PublicEndpointEnabled bool "" /* 128 byte string literal not displayed */

	PublicEndpointDomainName string "" /* 138 byte string literal not displayed */

}

Indexes are deployed into it. An IndexEndpoint can have multiple DeployedIndexes.

func (*IndexEndpoint) Descriptor

func (*IndexEndpoint) Descriptor() ([]byte, []int)

Deprecated: Use IndexEndpoint.ProtoReflect.Descriptor instead.

func (*IndexEndpoint) GetCreateTime

func (x *IndexEndpoint) GetCreateTime() *timestamppb.Timestamp

func (*IndexEndpoint) GetDeployedIndexes

func (x *IndexEndpoint) GetDeployedIndexes() []*DeployedIndex

func (*IndexEndpoint) GetDescription

func (x *IndexEndpoint) GetDescription() string

func (*IndexEndpoint) GetDisplayName

func (x *IndexEndpoint) GetDisplayName() string

func (*IndexEndpoint) GetEnablePrivateServiceConnect

func (x *IndexEndpoint) GetEnablePrivateServiceConnect() bool

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/index_endpoint.proto.

func (*IndexEndpoint) GetEtag

func (x *IndexEndpoint) GetEtag() string

func (*IndexEndpoint) GetLabels

func (x *IndexEndpoint) GetLabels() map[string]string

func (*IndexEndpoint) GetName

func (x *IndexEndpoint) GetName() string

func (*IndexEndpoint) GetNetwork

func (x *IndexEndpoint) GetNetwork() string

func (*IndexEndpoint) GetPrivateServiceConnectConfig

func (x *IndexEndpoint) GetPrivateServiceConnectConfig() *PrivateServiceConnectConfig

func (*IndexEndpoint) GetPublicEndpointDomainName

func (x *IndexEndpoint) GetPublicEndpointDomainName() string

func (*IndexEndpoint) GetPublicEndpointEnabled

func (x *IndexEndpoint) GetPublicEndpointEnabled() bool

func (*IndexEndpoint) GetUpdateTime

func (x *IndexEndpoint) GetUpdateTime() *timestamppb.Timestamp

func (*IndexEndpoint) ProtoMessage

func (*IndexEndpoint) ProtoMessage()

func (*IndexEndpoint) ProtoReflect

func (x *IndexEndpoint) ProtoReflect() protoreflect.Message

func (*IndexEndpoint) Reset

func (x *IndexEndpoint) Reset()

func (*IndexEndpoint) String

func (x *IndexEndpoint) String() string

IndexEndpointServiceClient

type IndexEndpointServiceClient interface {
	// Creates an IndexEndpoint.
	CreateIndexEndpoint(ctx context.Context, in *CreateIndexEndpointRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets an IndexEndpoint.
	GetIndexEndpoint(ctx context.Context, in *GetIndexEndpointRequest, opts ...grpc.CallOption) (*IndexEndpoint, error)
	// Lists IndexEndpoints in a Location.
	ListIndexEndpoints(ctx context.Context, in *ListIndexEndpointsRequest, opts ...grpc.CallOption) (*ListIndexEndpointsResponse, error)
	// Updates an IndexEndpoint.
	UpdateIndexEndpoint(ctx context.Context, in *UpdateIndexEndpointRequest, opts ...grpc.CallOption) (*IndexEndpoint, error)
	// Deletes an IndexEndpoint.
	DeleteIndexEndpoint(ctx context.Context, in *DeleteIndexEndpointRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deploys an Index into this IndexEndpoint, creating a DeployedIndex within
	// it.
	// Only non-empty Indexes can be deployed.
	DeployIndex(ctx context.Context, in *DeployIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
	// and freeing all resources it's using.
	UndeployIndex(ctx context.Context, in *UndeployIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Update an existing DeployedIndex under an IndexEndpoint.
	MutateDeployedIndex(ctx context.Context, in *MutateDeployedIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

IndexEndpointServiceClient is the client API for IndexEndpointService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewIndexEndpointServiceClient

func NewIndexEndpointServiceClient(cc grpc.ClientConnInterface) IndexEndpointServiceClient

IndexEndpointServiceServer

type IndexEndpointServiceServer interface {
	// Creates an IndexEndpoint.
	CreateIndexEndpoint(context.Context, *CreateIndexEndpointRequest) (*longrunningpb.Operation, error)
	// Gets an IndexEndpoint.
	GetIndexEndpoint(context.Context, *GetIndexEndpointRequest) (*IndexEndpoint, error)
	// Lists IndexEndpoints in a Location.
	ListIndexEndpoints(context.Context, *ListIndexEndpointsRequest) (*ListIndexEndpointsResponse, error)
	// Updates an IndexEndpoint.
	UpdateIndexEndpoint(context.Context, *UpdateIndexEndpointRequest) (*IndexEndpoint, error)
	// Deletes an IndexEndpoint.
	DeleteIndexEndpoint(context.Context, *DeleteIndexEndpointRequest) (*longrunningpb.Operation, error)
	// Deploys an Index into this IndexEndpoint, creating a DeployedIndex within
	// it.
	// Only non-empty Indexes can be deployed.
	DeployIndex(context.Context, *DeployIndexRequest) (*longrunningpb.Operation, error)
	// Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
	// and freeing all resources it's using.
	UndeployIndex(context.Context, *UndeployIndexRequest) (*longrunningpb.Operation, error)
	// Update an existing DeployedIndex under an IndexEndpoint.
	MutateDeployedIndex(context.Context, *MutateDeployedIndexRequest) (*longrunningpb.Operation, error)
}

IndexEndpointServiceServer is the server API for IndexEndpointService service.

IndexPrivateEndpoints

type IndexPrivateEndpoints struct {

	// Output only. The ip address used to send match gRPC requests.
	MatchGrpcAddress string `protobuf:"bytes,1,opt,name=match_grpc_address,json=matchGrpcAddress,proto3" json:"match_grpc_address,omitempty"`
	// Output only. The name of the service attachment resource. Populated if
	// private service connect is enabled.
	ServiceAttachment string `protobuf:"bytes,2,opt,name=service_attachment,json=serviceAttachment,proto3" json:"service_attachment,omitempty"`
	// contains filtered or unexported fields
}

IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g. private service access, private service connect). To send request via private service access, use match_grpc_address. To send request via private service connect, use service_attachment.

func (*IndexPrivateEndpoints) Descriptor

func (*IndexPrivateEndpoints) Descriptor() ([]byte, []int)

Deprecated: Use IndexPrivateEndpoints.ProtoReflect.Descriptor instead.

func (*IndexPrivateEndpoints) GetMatchGrpcAddress

func (x *IndexPrivateEndpoints) GetMatchGrpcAddress() string

func (*IndexPrivateEndpoints) GetServiceAttachment

func (x *IndexPrivateEndpoints) GetServiceAttachment() string

func (*IndexPrivateEndpoints) ProtoMessage

func (*IndexPrivateEndpoints) ProtoMessage()

func (*IndexPrivateEndpoints) ProtoReflect

func (x *IndexPrivateEndpoints) ProtoReflect() protoreflect.Message

func (*IndexPrivateEndpoints) Reset

func (x *IndexPrivateEndpoints) Reset()

func (*IndexPrivateEndpoints) String

func (x *IndexPrivateEndpoints) String() string

IndexServiceClient

type IndexServiceClient interface {
	// Creates an Index.
	CreateIndex(ctx context.Context, in *CreateIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets an Index.
	GetIndex(ctx context.Context, in *GetIndexRequest, opts ...grpc.CallOption) (*Index, error)
	// Lists Indexes in a Location.
	ListIndexes(ctx context.Context, in *ListIndexesRequest, opts ...grpc.CallOption) (*ListIndexesResponse, error)
	// Updates an Index.
	UpdateIndex(ctx context.Context, in *UpdateIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes an Index.
	// An Index can only be deleted when all its
	// [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
	// been undeployed.
	DeleteIndex(ctx context.Context, in *DeleteIndexRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Add/update Datapoints into an Index.
	UpsertDatapoints(ctx context.Context, in *UpsertDatapointsRequest, opts ...grpc.CallOption) (*UpsertDatapointsResponse, error)
	// Remove Datapoints from an Index.
	RemoveDatapoints(ctx context.Context, in *RemoveDatapointsRequest, opts ...grpc.CallOption) (*RemoveDatapointsResponse, error)
}

IndexServiceClient is the client API for IndexService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewIndexServiceClient

func NewIndexServiceClient(cc grpc.ClientConnInterface) IndexServiceClient

IndexServiceServer

type IndexServiceServer interface {
	// Creates an Index.
	CreateIndex(context.Context, *CreateIndexRequest) (*longrunningpb.Operation, error)
	// Gets an Index.
	GetIndex(context.Context, *GetIndexRequest) (*Index, error)
	// Lists Indexes in a Location.
	ListIndexes(context.Context, *ListIndexesRequest) (*ListIndexesResponse, error)
	// Updates an Index.
	UpdateIndex(context.Context, *UpdateIndexRequest) (*longrunningpb.Operation, error)
	// Deletes an Index.
	// An Index can only be deleted when all its
	// [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
	// been undeployed.
	DeleteIndex(context.Context, *DeleteIndexRequest) (*longrunningpb.Operation, error)
	// Add/update Datapoints into an Index.
	UpsertDatapoints(context.Context, *UpsertDatapointsRequest) (*UpsertDatapointsResponse, error)
	// Remove Datapoints from an Index.
	RemoveDatapoints(context.Context, *RemoveDatapointsRequest) (*RemoveDatapointsResponse, error)
}

IndexServiceServer is the server API for IndexService service.

IndexStats

type IndexStats struct {

	// Output only. The number of vectors in the Index.
	VectorsCount int64 `protobuf:"varint,1,opt,name=vectors_count,json=vectorsCount,proto3" json:"vectors_count,omitempty"`
	// Output only. The number of shards in the Index.
	ShardsCount int32 `protobuf:"varint,2,opt,name=shards_count,json=shardsCount,proto3" json:"shards_count,omitempty"`
	// contains filtered or unexported fields
}

Stats of the Index.

func (*IndexStats) Descriptor

func (*IndexStats) Descriptor() ([]byte, []int)

Deprecated: Use IndexStats.ProtoReflect.Descriptor instead.

func (*IndexStats) GetShardsCount

func (x *IndexStats) GetShardsCount() int32

func (*IndexStats) GetVectorsCount

func (x *IndexStats) GetVectorsCount() int64

func (*IndexStats) ProtoMessage

func (*IndexStats) ProtoMessage()

func (*IndexStats) ProtoReflect

func (x *IndexStats) ProtoReflect() protoreflect.Message

func (*IndexStats) Reset

func (x *IndexStats) Reset()

func (*IndexStats) String

func (x *IndexStats) String() string

Index_IndexUpdateMethod

type Index_IndexUpdateMethod int32

The update method of an Index.

Index_INDEX_UPDATE_METHOD_UNSPECIFIED, Index_BATCH_UPDATE, Index_STREAM_UPDATE

const (
	// Should not be used.
	Index_INDEX_UPDATE_METHOD_UNSPECIFIED Index_IndexUpdateMethod = 0
	// BatchUpdate: user can call UpdateIndex with files on Cloud Storage of
	// datapoints to update.
	Index_BATCH_UPDATE Index_IndexUpdateMethod = 1
	// StreamUpdate: user can call UpsertDatapoints/DeleteDatapoints to update
	// the Index and the updates will be applied in corresponding
	// DeployedIndexes in nearly real-time.
	Index_STREAM_UPDATE Index_IndexUpdateMethod = 2
)

func (Index_IndexUpdateMethod) Descriptor

func (Index_IndexUpdateMethod) Descriptor() protoreflect.EnumDescriptor

func (Index_IndexUpdateMethod) Enum

func (x Index_IndexUpdateMethod) Enum() *Index_IndexUpdateMethod

func (Index_IndexUpdateMethod) EnumDescriptor

func (Index_IndexUpdateMethod) EnumDescriptor() ([]byte, []int)

Deprecated: Use Index_IndexUpdateMethod.Descriptor instead.

func (Index_IndexUpdateMethod) Number

func (x Index_IndexUpdateMethod) Number() protoreflect.EnumNumber

func (Index_IndexUpdateMethod) String

func (x Index_IndexUpdateMethod) String() string

func (Index_IndexUpdateMethod) Type

func (Index_IndexUpdateMethod) Type() protoreflect.EnumType

InputDataConfig

type InputDataConfig struct {
	Split isInputDataConfig_Split `protobuf_oneof:"split"`

	Destination isInputDataConfig_Destination `protobuf_oneof:"destination"`

	DatasetId string `protobuf:"bytes,1,opt,name=dataset_id,json=datasetId,proto3" json:"dataset_id,omitempty"`

	AnnotationsFilter string `protobuf:"bytes,6,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`

	AnnotationSchemaUri string `protobuf:"bytes,9,opt,name=annotation_schema_uri,json=annotationSchemaUri,proto3" json:"annotation_schema_uri,omitempty"`

	SavedQueryId string `protobuf:"bytes,7,opt,name=saved_query_id,json=savedQueryId,proto3" json:"saved_query_id,omitempty"`

	PersistMlUseAssignment bool "" /* 133 byte string literal not displayed */

}

Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.

func (*InputDataConfig) Descriptor

func (*InputDataConfig) Descriptor() ([]byte, []int)

Deprecated: Use InputDataConfig.ProtoReflect.Descriptor instead.

func (*InputDataConfig) GetAnnotationSchemaUri

func (x *InputDataConfig) GetAnnotationSchemaUri() string

func (*InputDataConfig) GetAnnotationsFilter

func (x *InputDataConfig) GetAnnotationsFilter() string

func (*InputDataConfig) GetBigqueryDestination

func (x *InputDataConfig) GetBigqueryDestination() *BigQueryDestination

func (*InputDataConfig) GetDatasetId

func (x *InputDataConfig) GetDatasetId() string

func (*InputDataConfig) GetDestination

func (m *InputDataConfig) GetDestination() isInputDataConfig_Destination

func (*InputDataConfig) GetFilterSplit

func (x *InputDataConfig) GetFilterSplit() *FilterSplit

func (*InputDataConfig) GetFractionSplit

func (x *InputDataConfig) GetFractionSplit() *FractionSplit

func (*InputDataConfig) GetGcsDestination

func (x *InputDataConfig) GetGcsDestination() *GcsDestination

func (*InputDataConfig) GetPersistMlUseAssignment

func (x *InputDataConfig) GetPersistMlUseAssignment() bool

func (*InputDataConfig) GetPredefinedSplit

func (x *InputDataConfig) GetPredefinedSplit() *PredefinedSplit

func (*InputDataConfig) GetSavedQueryId

func (x *InputDataConfig) GetSavedQueryId() string

func (*InputDataConfig) GetSplit

func (m *InputDataConfig) GetSplit() isInputDataConfig_Split

func (*InputDataConfig) GetStratifiedSplit

func (x *InputDataConfig) GetStratifiedSplit() *StratifiedSplit

func (*InputDataConfig) GetTimestampSplit

func (x *InputDataConfig) GetTimestampSplit() *TimestampSplit

func (*InputDataConfig) ProtoMessage

func (*InputDataConfig) ProtoMessage()

func (*InputDataConfig) ProtoReflect

func (x *InputDataConfig) ProtoReflect() protoreflect.Message

func (*InputDataConfig) Reset

func (x *InputDataConfig) Reset()

func (*InputDataConfig) String

func (x *InputDataConfig) String() string

InputDataConfig_BigqueryDestination

type InputDataConfig_BigqueryDestination struct {
	// Only applicable to custom training with tabular Dataset with BigQuery
	// source.
	//
	// The BigQuery project location where the training data is to be written
	// to. In the given project a new dataset is created with name
	// `dataset_

InputDataConfig_FilterSplit

type InputDataConfig_FilterSplit struct {
	// Split based on the provided filters for each set.
	FilterSplit *FilterSplit `protobuf:"bytes,3,opt,name=filter_split,json=filterSplit,proto3,oneof"`
}

InputDataConfig_FractionSplit

type InputDataConfig_FractionSplit struct {
	// Split based on fractions defining the size of each set.
	FractionSplit *FractionSplit `protobuf:"bytes,2,opt,name=fraction_split,json=fractionSplit,proto3,oneof"`
}

InputDataConfig_GcsDestination

type InputDataConfig_GcsDestination struct {
	// The Cloud Storage location where the training data is to be
	// written to. In the given directory a new directory is created with
	// name:
	// `dataset-

InputDataConfig_PredefinedSplit

type InputDataConfig_PredefinedSplit struct {
	// Supported only for tabular Datasets.
	//
	// Split based on a predefined key.
	PredefinedSplit *PredefinedSplit `protobuf:"bytes,4,opt,name=predefined_split,json=predefinedSplit,proto3,oneof"`
}

InputDataConfig_StratifiedSplit

type InputDataConfig_StratifiedSplit struct {
	// Supported only for tabular Datasets.
	//
	// Split based on the distribution of the specified column.
	StratifiedSplit *StratifiedSplit `protobuf:"bytes,12,opt,name=stratified_split,json=stratifiedSplit,proto3,oneof"`
}

InputDataConfig_TimestampSplit

type InputDataConfig_TimestampSplit struct {
	// Supported only for tabular Datasets.
	//
	// Split based on the timestamp of the input data pieces.
	TimestampSplit *TimestampSplit `protobuf:"bytes,5,opt,name=timestamp_split,json=timestampSplit,proto3,oneof"`
}

Int64Array

type Int64Array struct {

	// A list of int64 values.
	Values []int64 `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of int64 values.

func (*Int64Array) Descriptor

func (*Int64Array) Descriptor() ([]byte, []int)

Deprecated: Use Int64Array.ProtoReflect.Descriptor instead.

func (*Int64Array) GetValues

func (x *Int64Array) GetValues() []int64

func (*Int64Array) ProtoMessage

func (*Int64Array) ProtoMessage()

func (*Int64Array) ProtoReflect

func (x *Int64Array) ProtoReflect() protoreflect.Message

func (*Int64Array) Reset

func (x *Int64Array) Reset()

func (*Int64Array) String

func (x *Int64Array) String() string

IntegratedGradientsAttribution

type IntegratedGradientsAttribution struct {

	// Required. The number of steps for approximating the path integral.
	// A good value to start is 50 and gradually increase until the
	// sum to diff property is within the desired error range.
	//
	// Valid range of its value is [1, 100], inclusively.
	StepCount int32 `protobuf:"varint,1,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
	// Config for SmoothGrad approximation of gradients.
	//
	// When enabled, the gradients are approximated by averaging the gradients
	// from noisy samples in the vicinity of the inputs. Adding
	// noise can help improve the computed gradients. Refer to this paper for more
	// details: https://arxiv.org/pdf/1706.03825.pdf
	SmoothGradConfig *SmoothGradConfig `protobuf:"bytes,2,opt,name=smooth_grad_config,json=smoothGradConfig,proto3" json:"smooth_grad_config,omitempty"`
	// Config for IG with blur baseline.
	//
	// When enabled, a linear path from the maximally blurred image to the input
	// image is created. Using a blurred baseline instead of zero (black image) is
	// motivated by the BlurIG approach explained here:
	// https://arxiv.org/abs/2004.03383
	BlurBaselineConfig *BlurBaselineConfig `protobuf:"bytes,3,opt,name=blur_baseline_config,json=blurBaselineConfig,proto3" json:"blur_baseline_config,omitempty"`
	// contains filtered or unexported fields
}

An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365

func (*IntegratedGradientsAttribution) Descriptor

func (*IntegratedGradientsAttribution) Descriptor() ([]byte, []int)

Deprecated: Use IntegratedGradientsAttribution.ProtoReflect.Descriptor instead.

func (*IntegratedGradientsAttribution) GetBlurBaselineConfig

func (x *IntegratedGradientsAttribution) GetBlurBaselineConfig() *BlurBaselineConfig

func (*IntegratedGradientsAttribution) GetSmoothGradConfig

func (x *IntegratedGradientsAttribution) GetSmoothGradConfig() *SmoothGradConfig

func (*IntegratedGradientsAttribution) GetStepCount

func (x *IntegratedGradientsAttribution) GetStepCount() int32

func (*IntegratedGradientsAttribution) ProtoMessage

func (*IntegratedGradientsAttribution) ProtoMessage()

func (*IntegratedGradientsAttribution) ProtoReflect

func (x *IntegratedGradientsAttribution) ProtoReflect() protoreflect.Message

func (*IntegratedGradientsAttribution) Reset

func (x *IntegratedGradientsAttribution) Reset()

func (*IntegratedGradientsAttribution) String

func (x *IntegratedGradientsAttribution) String() string

JobServiceClient

type JobServiceClient interface {
	// Creates a CustomJob. A created CustomJob right away
	// will be attempted to be run.
	CreateCustomJob(ctx context.Context, in *CreateCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error)
	// Gets a CustomJob.
	GetCustomJob(ctx context.Context, in *GetCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error)
	// Lists CustomJobs in a Location.
	ListCustomJobs(ctx context.Context, in *ListCustomJobsRequest, opts ...grpc.CallOption) (*ListCustomJobsResponse, error)
	// Deletes a CustomJob.
	DeleteCustomJob(ctx context.Context, in *DeleteCustomJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a CustomJob.
	// Starts asynchronous cancellation on the CustomJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the CustomJob is not deleted; instead it becomes a job with
	// a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with
	// a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
	// `Code.CANCELLED`, and
	// [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
	// `CANCELLED`.
	CancelCustomJob(ctx context.Context, in *CancelCustomJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a DataLabelingJob.
	CreateDataLabelingJob(ctx context.Context, in *CreateDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error)
	// Gets a DataLabelingJob.
	GetDataLabelingJob(ctx context.Context, in *GetDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error)
	// Lists DataLabelingJobs in a Location.
	ListDataLabelingJobs(ctx context.Context, in *ListDataLabelingJobsRequest, opts ...grpc.CallOption) (*ListDataLabelingJobsResponse, error)
	// Deletes a DataLabelingJob.
	DeleteDataLabelingJob(ctx context.Context, in *DeleteDataLabelingJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
	CancelDataLabelingJob(ctx context.Context, in *CancelDataLabelingJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a HyperparameterTuningJob
	CreateHyperparameterTuningJob(ctx context.Context, in *CreateHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error)
	// Gets a HyperparameterTuningJob
	GetHyperparameterTuningJob(ctx context.Context, in *GetHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error)
	// Lists HyperparameterTuningJobs in a Location.
	ListHyperparameterTuningJobs(ctx context.Context, in *ListHyperparameterTuningJobsRequest, opts ...grpc.CallOption) (*ListHyperparameterTuningJobsResponse, error)
	// Deletes a HyperparameterTuningJob.
	DeleteHyperparameterTuningJob(ctx context.Context, in *DeleteHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a HyperparameterTuningJob.
	// Starts asynchronous cancellation on the HyperparameterTuningJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the HyperparameterTuningJob is not deleted; instead it becomes a job with
	// a
	// [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error]
	// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and
	// [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state]
	// is set to `CANCELLED`.
	CancelHyperparameterTuningJob(ctx context.Context, in *CancelHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a NasJob
	CreateNasJob(ctx context.Context, in *CreateNasJobRequest, opts ...grpc.CallOption) (*NasJob, error)
	// Gets a NasJob
	GetNasJob(ctx context.Context, in *GetNasJobRequest, opts ...grpc.CallOption) (*NasJob, error)
	// Lists NasJobs in a Location.
	ListNasJobs(ctx context.Context, in *ListNasJobsRequest, opts ...grpc.CallOption) (*ListNasJobsResponse, error)
	// Deletes a NasJob.
	DeleteNasJob(ctx context.Context, in *DeleteNasJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a NasJob.
	// Starts asynchronous cancellation on the NasJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the NasJob is not deleted; instead it becomes a job with
	// a [NasJob.error][google.cloud.aiplatform.v1.NasJob.error] value with a
	// [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
	// `Code.CANCELLED`, and
	// [NasJob.state][google.cloud.aiplatform.v1.NasJob.state] is set to
	// `CANCELLED`.
	CancelNasJob(ctx context.Context, in *CancelNasJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Gets a NasTrialDetail.
	GetNasTrialDetail(ctx context.Context, in *GetNasTrialDetailRequest, opts ...grpc.CallOption) (*NasTrialDetail, error)
	// List top NasTrialDetails of a NasJob.
	ListNasTrialDetails(ctx context.Context, in *ListNasTrialDetailsRequest, opts ...grpc.CallOption) (*ListNasTrialDetailsResponse, error)
	// Creates a BatchPredictionJob. A BatchPredictionJob once created will
	// right away be attempted to start.
	CreateBatchPredictionJob(ctx context.Context, in *CreateBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error)
	// Gets a BatchPredictionJob
	GetBatchPredictionJob(ctx context.Context, in *GetBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error)
	// Lists BatchPredictionJobs in a Location.
	ListBatchPredictionJobs(ctx context.Context, in *ListBatchPredictionJobsRequest, opts ...grpc.CallOption) (*ListBatchPredictionJobsResponse, error)
	// Deletes a BatchPredictionJob. Can only be called on jobs that already
	// finished.
	DeleteBatchPredictionJob(ctx context.Context, in *DeleteBatchPredictionJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a BatchPredictionJob.
	//
	// Starts asynchronous cancellation on the BatchPredictionJob. The server
	// makes the best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On a successful cancellation,
	// the BatchPredictionJob is not deleted;instead its
	// [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state]
	// is set to `CANCELLED`. Any files already outputted by the job are not
	// deleted.
	CancelBatchPredictionJob(ctx context.Context, in *CancelBatchPredictionJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a ModelDeploymentMonitoringJob. It will run periodically on a
	// configured interval.
	CreateModelDeploymentMonitoringJob(ctx context.Context, in *CreateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error)
	// Searches Model Monitoring Statistics generated within a given time window.
	SearchModelDeploymentMonitoringStatsAnomalies(ctx context.Context, in *SearchModelDeploymentMonitoringStatsAnomaliesRequest, opts ...grpc.CallOption) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
	// Gets a ModelDeploymentMonitoringJob.
	GetModelDeploymentMonitoringJob(ctx context.Context, in *GetModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error)
	// Lists ModelDeploymentMonitoringJobs in a Location.
	ListModelDeploymentMonitoringJobs(ctx context.Context, in *ListModelDeploymentMonitoringJobsRequest, opts ...grpc.CallOption) (*ListModelDeploymentMonitoringJobsResponse, error)
	// Updates a ModelDeploymentMonitoringJob.
	UpdateModelDeploymentMonitoringJob(ctx context.Context, in *UpdateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a ModelDeploymentMonitoringJob.
	DeleteModelDeploymentMonitoringJob(ctx context.Context, in *DeleteModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
	// makes a best effort to cancel the job. Will mark
	// [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
	// to 'PAUSED'.
	PauseModelDeploymentMonitoringJob(ctx context.Context, in *PauseModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
	// next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
	// resumed.
	ResumeModelDeploymentMonitoringJob(ctx context.Context, in *ResumeModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
}

JobServiceClient is the client API for JobService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewJobServiceClient

func NewJobServiceClient(cc grpc.ClientConnInterface) JobServiceClient

JobServiceServer

type JobServiceServer interface {
	// Creates a CustomJob. A created CustomJob right away
	// will be attempted to be run.
	CreateCustomJob(context.Context, *CreateCustomJobRequest) (*CustomJob, error)
	// Gets a CustomJob.
	GetCustomJob(context.Context, *GetCustomJobRequest) (*CustomJob, error)
	// Lists CustomJobs in a Location.
	ListCustomJobs(context.Context, *ListCustomJobsRequest) (*ListCustomJobsResponse, error)
	// Deletes a CustomJob.
	DeleteCustomJob(context.Context, *DeleteCustomJobRequest) (*longrunningpb.Operation, error)
	// Cancels a CustomJob.
	// Starts asynchronous cancellation on the CustomJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the CustomJob is not deleted; instead it becomes a job with
	// a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with
	// a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
	// `Code.CANCELLED`, and
	// [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
	// `CANCELLED`.
	CancelCustomJob(context.Context, *CancelCustomJobRequest) (*emptypb.Empty, error)
	// Creates a DataLabelingJob.
	CreateDataLabelingJob(context.Context, *CreateDataLabelingJobRequest) (*DataLabelingJob, error)
	// Gets a DataLabelingJob.
	GetDataLabelingJob(context.Context, *GetDataLabelingJobRequest) (*DataLabelingJob, error)
	// Lists DataLabelingJobs in a Location.
	ListDataLabelingJobs(context.Context, *ListDataLabelingJobsRequest) (*ListDataLabelingJobsResponse, error)
	// Deletes a DataLabelingJob.
	DeleteDataLabelingJob(context.Context, *DeleteDataLabelingJobRequest) (*longrunningpb.Operation, error)
	// Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
	CancelDataLabelingJob(context.Context, *CancelDataLabelingJobRequest) (*emptypb.Empty, error)
	// Creates a HyperparameterTuningJob
	CreateHyperparameterTuningJob(context.Context, *CreateHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
	// Gets a HyperparameterTuningJob
	GetHyperparameterTuningJob(context.Context, *GetHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
	// Lists HyperparameterTuningJobs in a Location.
	ListHyperparameterTuningJobs(context.Context, *ListHyperparameterTuningJobsRequest) (*ListHyperparameterTuningJobsResponse, error)
	// Deletes a HyperparameterTuningJob.
	DeleteHyperparameterTuningJob(context.Context, *DeleteHyperparameterTuningJobRequest) (*longrunningpb.Operation, error)
	// Cancels a HyperparameterTuningJob.
	// Starts asynchronous cancellation on the HyperparameterTuningJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the HyperparameterTuningJob is not deleted; instead it becomes a job with
	// a
	// [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error]
	// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and
	// [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state]
	// is set to `CANCELLED`.
	CancelHyperparameterTuningJob(context.Context, *CancelHyperparameterTuningJobRequest) (*emptypb.Empty, error)
	// Creates a NasJob
	CreateNasJob(context.Context, *CreateNasJobRequest) (*NasJob, error)
	// Gets a NasJob
	GetNasJob(context.Context, *GetNasJobRequest) (*NasJob, error)
	// Lists NasJobs in a Location.
	ListNasJobs(context.Context, *ListNasJobsRequest) (*ListNasJobsResponse, error)
	// Deletes a NasJob.
	DeleteNasJob(context.Context, *DeleteNasJobRequest) (*longrunningpb.Operation, error)
	// Cancels a NasJob.
	// Starts asynchronous cancellation on the NasJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the NasJob is not deleted; instead it becomes a job with
	// a [NasJob.error][google.cloud.aiplatform.v1.NasJob.error] value with a
	// [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
	// `Code.CANCELLED`, and
	// [NasJob.state][google.cloud.aiplatform.v1.NasJob.state] is set to
	// `CANCELLED`.
	CancelNasJob(context.Context, *CancelNasJobRequest) (*emptypb.Empty, error)
	// Gets a NasTrialDetail.
	GetNasTrialDetail(context.Context, *GetNasTrialDetailRequest) (*NasTrialDetail, error)
	// List top NasTrialDetails of a NasJob.
	ListNasTrialDetails(context.Context, *ListNasTrialDetailsRequest) (*ListNasTrialDetailsResponse, error)
	// Creates a BatchPredictionJob. A BatchPredictionJob once created will
	// right away be attempted to start.
	CreateBatchPredictionJob(context.Context, *CreateBatchPredictionJobRequest) (*BatchPredictionJob, error)
	// Gets a BatchPredictionJob
	GetBatchPredictionJob(context.Context, *GetBatchPredictionJobRequest) (*BatchPredictionJob, error)
	// Lists BatchPredictionJobs in a Location.
	ListBatchPredictionJobs(context.Context, *ListBatchPredictionJobsRequest) (*ListBatchPredictionJobsResponse, error)
	// Deletes a BatchPredictionJob. Can only be called on jobs that already
	// finished.
	DeleteBatchPredictionJob(context.Context, *DeleteBatchPredictionJobRequest) (*longrunningpb.Operation, error)
	// Cancels a BatchPredictionJob.
	//
	// Starts asynchronous cancellation on the BatchPredictionJob. The server
	// makes the best effort to cancel the job, but success is not
	// guaranteed. Clients can use
	// [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On a successful cancellation,
	// the BatchPredictionJob is not deleted;instead its
	// [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state]
	// is set to `CANCELLED`. Any files already outputted by the job are not
	// deleted.
	CancelBatchPredictionJob(context.Context, *CancelBatchPredictionJobRequest) (*emptypb.Empty, error)
	// Creates a ModelDeploymentMonitoringJob. It will run periodically on a
	// configured interval.
	CreateModelDeploymentMonitoringJob(context.Context, *CreateModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
	// Searches Model Monitoring Statistics generated within a given time window.
	SearchModelDeploymentMonitoringStatsAnomalies(context.Context, *SearchModelDeploymentMonitoringStatsAnomaliesRequest) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
	// Gets a ModelDeploymentMonitoringJob.
	GetModelDeploymentMonitoringJob(context.Context, *GetModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
	// Lists ModelDeploymentMonitoringJobs in a Location.
	ListModelDeploymentMonitoringJobs(context.Context, *ListModelDeploymentMonitoringJobsRequest) (*ListModelDeploymentMonitoringJobsResponse, error)
	// Updates a ModelDeploymentMonitoringJob.
	UpdateModelDeploymentMonitoringJob(context.Context, *UpdateModelDeploymentMonitoringJobRequest) (*longrunningpb.Operation, error)
	// Deletes a ModelDeploymentMonitoringJob.
	DeleteModelDeploymentMonitoringJob(context.Context, *DeleteModelDeploymentMonitoringJobRequest) (*longrunningpb.Operation, error)
	// Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
	// makes a best effort to cancel the job. Will mark
	// [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
	// to 'PAUSED'.
	PauseModelDeploymentMonitoringJob(context.Context, *PauseModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
	// Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
	// next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
	// resumed.
	ResumeModelDeploymentMonitoringJob(context.Context, *ResumeModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
}

JobServiceServer is the server API for JobService service.

JobState

type JobState int32

Describes the state of a job.

JobState_JOB_STATE_UNSPECIFIED, JobState_JOB_STATE_QUEUED, JobState_JOB_STATE_PENDING, JobState_JOB_STATE_RUNNING, JobState_JOB_STATE_SUCCEEDED, JobState_JOB_STATE_FAILED, JobState_JOB_STATE_CANCELLING, JobState_JOB_STATE_CANCELLED, JobState_JOB_STATE_PAUSED, JobState_JOB_STATE_EXPIRED, JobState_JOB_STATE_UPDATING

const (
	// The job state is unspecified.
	JobState_JOB_STATE_UNSPECIFIED JobState = 0
	// The job has been just created or resumed and processing has not yet begun.
	JobState_JOB_STATE_QUEUED JobState = 1
	// The service is preparing to run the job.
	JobState_JOB_STATE_PENDING JobState = 2
	// The job is in progress.
	JobState_JOB_STATE_RUNNING JobState = 3
	// The job completed successfully.
	JobState_JOB_STATE_SUCCEEDED JobState = 4
	// The job failed.
	JobState_JOB_STATE_FAILED JobState = 5
	// The job is being cancelled. From this state the job may only go to
	// either `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
	JobState_JOB_STATE_CANCELLING JobState = 6
	// The job has been cancelled.
	JobState_JOB_STATE_CANCELLED JobState = 7
	// The job has been stopped, and can be resumed.
	JobState_JOB_STATE_PAUSED JobState = 8
	// The job has expired.
	JobState_JOB_STATE_EXPIRED JobState = 9
	// The job is being updated. Only jobs in the `RUNNING` state can be updated.
	// After updating, the job goes back to the `RUNNING` state.
	JobState_JOB_STATE_UPDATING JobState = 10
)

func (JobState) Descriptor

func (JobState) Descriptor() protoreflect.EnumDescriptor

func (JobState) Enum

func (x JobState) Enum() *JobState

func (JobState) EnumDescriptor

func (JobState) EnumDescriptor() ([]byte, []int)

Deprecated: Use JobState.Descriptor instead.

func (JobState) Number

func (x JobState) Number() protoreflect.EnumNumber

func (JobState) String

func (x JobState) String() string

func (JobState) Type

func (JobState) Type() protoreflect.EnumType

LineageSubgraph

type LineageSubgraph struct {

	// The Artifact nodes in the subgraph.
	Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// The Execution nodes in the subgraph.
	Executions []*Execution `protobuf:"bytes,2,rep,name=executions,proto3" json:"executions,omitempty"`
	// The Event edges between Artifacts and Executions in the subgraph.
	Events []*Event `protobuf:"bytes,3,rep,name=events,proto3" json:"events,omitempty"`
	// contains filtered or unexported fields
}

A subgraph of the overall lineage graph. Event edges connect Artifact and Execution nodes.

func (*LineageSubgraph) Descriptor

func (*LineageSubgraph) Descriptor() ([]byte, []int)

Deprecated: Use LineageSubgraph.ProtoReflect.Descriptor instead.

func (*LineageSubgraph) GetArtifacts

func (x *LineageSubgraph) GetArtifacts() []*Artifact

func (*LineageSubgraph) GetEvents

func (x *LineageSubgraph) GetEvents() []*Event

func (*LineageSubgraph) GetExecutions

func (x *LineageSubgraph) GetExecutions() []*Execution

func (*LineageSubgraph) ProtoMessage

func (*LineageSubgraph) ProtoMessage()

func (*LineageSubgraph) ProtoReflect

func (x *LineageSubgraph) ProtoReflect() protoreflect.Message

func (*LineageSubgraph) Reset

func (x *LineageSubgraph) Reset()

func (*LineageSubgraph) String

func (x *LineageSubgraph) String() string

ListAnnotationsRequest

type ListAnnotationsRequest struct {

	// Required. The resource name of the DataItem to list Annotations from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].

func (*ListAnnotationsRequest) Descriptor

func (*ListAnnotationsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListAnnotationsRequest.ProtoReflect.Descriptor instead.

func (*ListAnnotationsRequest) GetFilter

func (x *ListAnnotationsRequest) GetFilter() string

func (*ListAnnotationsRequest) GetOrderBy

func (x *ListAnnotationsRequest) GetOrderBy() string

func (*ListAnnotationsRequest) GetPageSize

func (x *ListAnnotationsRequest) GetPageSize() int32

func (*ListAnnotationsRequest) GetPageToken

func (x *ListAnnotationsRequest) GetPageToken() string

func (*ListAnnotationsRequest) GetParent

func (x *ListAnnotationsRequest) GetParent() string

func (*ListAnnotationsRequest) GetReadMask

func (x *ListAnnotationsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListAnnotationsRequest) ProtoMessage

func (*ListAnnotationsRequest) ProtoMessage()

func (*ListAnnotationsRequest) ProtoReflect

func (x *ListAnnotationsRequest) ProtoReflect() protoreflect.Message

func (*ListAnnotationsRequest) Reset

func (x *ListAnnotationsRequest) Reset()

func (*ListAnnotationsRequest) String

func (x *ListAnnotationsRequest) String() string

ListAnnotationsResponse

type ListAnnotationsResponse struct {

	// A list of Annotations that matches the specified filter in the request.
	Annotations []*Annotation `protobuf:"bytes,1,rep,name=annotations,proto3" json:"annotations,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].

func (*ListAnnotationsResponse) Descriptor

func (*ListAnnotationsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListAnnotationsResponse.ProtoReflect.Descriptor instead.

func (*ListAnnotationsResponse) GetAnnotations

func (x *ListAnnotationsResponse) GetAnnotations() []*Annotation

func (*ListAnnotationsResponse) GetNextPageToken

func (x *ListAnnotationsResponse) GetNextPageToken() string

func (*ListAnnotationsResponse) ProtoMessage

func (*ListAnnotationsResponse) ProtoMessage()

func (*ListAnnotationsResponse) ProtoReflect

func (x *ListAnnotationsResponse) ProtoReflect() protoreflect.Message

func (*ListAnnotationsResponse) Reset

func (x *ListAnnotationsResponse) Reset()

func (*ListAnnotationsResponse) String

func (x *ListAnnotationsResponse) String() string

ListArtifactsRequest

type ListArtifactsRequest struct {

	// Required. The MetadataStore whose Artifacts should be listed.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Artifacts to return. The service may return fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Filter specifying the boolean condition for the Artifacts to satisfy in
	// order to be part of the result set.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// The supported set of filters include the following:
	//
	// *   **Attribute filtering**:
	//     For example: `display_name = "test"`.
	//     Supported fields include: `name`, `display_name`, `uri`, `state`,
	//     `schema_title`, `create_time`, and `update_time`.
	//     Time fields, such as `create_time` and `update_time`, require values
	//     specified in RFC-3339 format.
	//     For example: `create_time = "2020-11-19T11:30:00-04:00"`
	// *   **Metadata field**:
	//     To filter on metadata fields use traversal operation as follows:
	//     `metadata.

Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].

func (*ListArtifactsRequest) Descriptor

func (*ListArtifactsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListArtifactsRequest.ProtoReflect.Descriptor instead.

func (*ListArtifactsRequest) GetFilter

func (x *ListArtifactsRequest) GetFilter() string

func (*ListArtifactsRequest) GetOrderBy

func (x *ListArtifactsRequest) GetOrderBy() string

func (*ListArtifactsRequest) GetPageSize

func (x *ListArtifactsRequest) GetPageSize() int32

func (*ListArtifactsRequest) GetPageToken

func (x *ListArtifactsRequest) GetPageToken() string

func (*ListArtifactsRequest) GetParent

func (x *ListArtifactsRequest) GetParent() string

func (*ListArtifactsRequest) ProtoMessage

func (*ListArtifactsRequest) ProtoMessage()

func (*ListArtifactsRequest) ProtoReflect

func (x *ListArtifactsRequest) ProtoReflect() protoreflect.Message

func (*ListArtifactsRequest) Reset

func (x *ListArtifactsRequest) Reset()

func (*ListArtifactsRequest) String

func (x *ListArtifactsRequest) String() string

ListArtifactsResponse

type ListArtifactsResponse struct {

	// The Artifacts retrieved from the MetadataStore.
	Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// A token, which can be sent as
	// [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
	// to retrieve the next page.
	// If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].

func (*ListArtifactsResponse) Descriptor

func (*ListArtifactsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListArtifactsResponse.ProtoReflect.Descriptor instead.

func (*ListArtifactsResponse) GetArtifacts

func (x *ListArtifactsResponse) GetArtifacts() []*Artifact

func (*ListArtifactsResponse) GetNextPageToken

func (x *ListArtifactsResponse) GetNextPageToken() string

func (*ListArtifactsResponse) ProtoMessage

func (*ListArtifactsResponse) ProtoMessage()

func (*ListArtifactsResponse) ProtoReflect

func (x *ListArtifactsResponse) ProtoReflect() protoreflect.Message

func (*ListArtifactsResponse) Reset

func (x *ListArtifactsResponse) Reset()

func (*ListArtifactsResponse) String

func (x *ListArtifactsResponse) String() string

ListBatchPredictionJobsRequest

type ListBatchPredictionJobsRequest struct {

	// Required. The resource name of the Location to list the BatchPredictionJobs
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   * `model_display_name` supports `=`, `!=` comparisons.
	//   * `state` supports `=`, `!=` comparisons.
	//   * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   * `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   * `NOT display_name="my_job"`
	//   * `create_time>"2021-05-18T00:00:00Z"`
	//   * `labels.keyA=valueA`
	//   * `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
	// of the previous
	// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].

func (*ListBatchPredictionJobsRequest) Descriptor

func (*ListBatchPredictionJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListBatchPredictionJobsRequest.ProtoReflect.Descriptor instead.

func (*ListBatchPredictionJobsRequest) GetFilter

func (x *ListBatchPredictionJobsRequest) GetFilter() string

func (*ListBatchPredictionJobsRequest) GetPageSize

func (x *ListBatchPredictionJobsRequest) GetPageSize() int32

func (*ListBatchPredictionJobsRequest) GetPageToken

func (x *ListBatchPredictionJobsRequest) GetPageToken() string

func (*ListBatchPredictionJobsRequest) GetParent

func (x *ListBatchPredictionJobsRequest) GetParent() string

func (*ListBatchPredictionJobsRequest) GetReadMask

func (x *ListBatchPredictionJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListBatchPredictionJobsRequest) ProtoMessage

func (*ListBatchPredictionJobsRequest) ProtoMessage()

func (*ListBatchPredictionJobsRequest) ProtoReflect

func (x *ListBatchPredictionJobsRequest) ProtoReflect() protoreflect.Message

func (*ListBatchPredictionJobsRequest) Reset

func (x *ListBatchPredictionJobsRequest) Reset()

func (*ListBatchPredictionJobsRequest) String

func (x *ListBatchPredictionJobsRequest) String() string

ListBatchPredictionJobsResponse

type ListBatchPredictionJobsResponse struct {

	// List of BatchPredictionJobs in the requested page.
	BatchPredictionJobs []*BatchPredictionJob `protobuf:"bytes,1,rep,name=batch_prediction_jobs,json=batchPredictionJobs,proto3" json:"batch_prediction_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]

func (*ListBatchPredictionJobsResponse) Descriptor

func (*ListBatchPredictionJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListBatchPredictionJobsResponse.ProtoReflect.Descriptor instead.

func (*ListBatchPredictionJobsResponse) GetBatchPredictionJobs

func (x *ListBatchPredictionJobsResponse) GetBatchPredictionJobs() []*BatchPredictionJob

func (*ListBatchPredictionJobsResponse) GetNextPageToken

func (x *ListBatchPredictionJobsResponse) GetNextPageToken() string

func (*ListBatchPredictionJobsResponse) ProtoMessage

func (*ListBatchPredictionJobsResponse) ProtoMessage()

func (*ListBatchPredictionJobsResponse) ProtoReflect

func (x *ListBatchPredictionJobsResponse) ProtoReflect() protoreflect.Message

func (*ListBatchPredictionJobsResponse) Reset

func (x *ListBatchPredictionJobsResponse) Reset()

func (*ListBatchPredictionJobsResponse) String

func (x *ListBatchPredictionJobsResponse) String() string

ListContextsRequest

type ListContextsRequest struct {

	// Required. The MetadataStore whose Contexts should be listed.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Contexts to return. The service may return fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Filter specifying the boolean condition for the Contexts to satisfy in
	// order to be part of the result set.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// Following are the supported set of filters:
	//
	// *  **Attribute filtering**:
	//    For example: `display_name = "test"`.
	//    Supported fields include: `name`, `display_name`, `schema_title`,
	//    `create_time`, and `update_time`.
	//    Time fields, such as `create_time` and `update_time`, require values
	//    specified in RFC-3339 format.
	//    For example: `create_time = "2020-11-19T11:30:00-04:00"`.
	// *  **Metadata field**:
	//    To filter on metadata fields use traversal operation as follows:
	//    `metadata.

Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]

func (*ListContextsRequest) Descriptor

func (*ListContextsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListContextsRequest.ProtoReflect.Descriptor instead.

func (*ListContextsRequest) GetFilter

func (x *ListContextsRequest) GetFilter() string

func (*ListContextsRequest) GetOrderBy

func (x *ListContextsRequest) GetOrderBy() string

func (*ListContextsRequest) GetPageSize

func (x *ListContextsRequest) GetPageSize() int32

func (*ListContextsRequest) GetPageToken

func (x *ListContextsRequest) GetPageToken() string

func (*ListContextsRequest) GetParent

func (x *ListContextsRequest) GetParent() string

func (*ListContextsRequest) ProtoMessage

func (*ListContextsRequest) ProtoMessage()

func (*ListContextsRequest) ProtoReflect

func (x *ListContextsRequest) ProtoReflect() protoreflect.Message

func (*ListContextsRequest) Reset

func (x *ListContextsRequest) Reset()

func (*ListContextsRequest) String

func (x *ListContextsRequest) String() string

ListContextsResponse

type ListContextsResponse struct {

	// The Contexts retrieved from the MetadataStore.
	Contexts []*Context `protobuf:"bytes,1,rep,name=contexts,proto3" json:"contexts,omitempty"`
	// A token, which can be sent as
	// [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
	// to retrieve the next page.
	// If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].

func (*ListContextsResponse) Descriptor

func (*ListContextsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListContextsResponse.ProtoReflect.Descriptor instead.

func (*ListContextsResponse) GetContexts

func (x *ListContextsResponse) GetContexts() []*Context

func (*ListContextsResponse) GetNextPageToken

func (x *ListContextsResponse) GetNextPageToken() string

func (*ListContextsResponse) ProtoMessage

func (*ListContextsResponse) ProtoMessage()

func (*ListContextsResponse) ProtoReflect

func (x *ListContextsResponse) ProtoReflect() protoreflect.Message

func (*ListContextsResponse) Reset

func (x *ListContextsResponse) Reset()

func (*ListContextsResponse) String

func (x *ListContextsResponse) String() string

ListCustomJobsRequest

type ListCustomJobsRequest struct {

	// Required. The resource name of the Location to list the CustomJobs from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   * `state` supports `=`, `!=` comparisons.
	//   * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   * `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   * `NOT display_name="my_job"`
	//   * `create_time>"2021-05-18T00:00:00Z"`
	//   * `labels.keyA=valueA`
	//   * `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
	// of the previous
	// [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].

func (*ListCustomJobsRequest) Descriptor

func (*ListCustomJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListCustomJobsRequest.ProtoReflect.Descriptor instead.

func (*ListCustomJobsRequest) GetFilter

func (x *ListCustomJobsRequest) GetFilter() string

func (*ListCustomJobsRequest) GetPageSize

func (x *ListCustomJobsRequest) GetPageSize() int32

func (*ListCustomJobsRequest) GetPageToken

func (x *ListCustomJobsRequest) GetPageToken() string

func (*ListCustomJobsRequest) GetParent

func (x *ListCustomJobsRequest) GetParent() string

func (*ListCustomJobsRequest) GetReadMask

func (x *ListCustomJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListCustomJobsRequest) ProtoMessage

func (*ListCustomJobsRequest) ProtoMessage()

func (*ListCustomJobsRequest) ProtoReflect

func (x *ListCustomJobsRequest) ProtoReflect() protoreflect.Message

func (*ListCustomJobsRequest) Reset

func (x *ListCustomJobsRequest) Reset()

func (*ListCustomJobsRequest) String

func (x *ListCustomJobsRequest) String() string

ListCustomJobsResponse

type ListCustomJobsResponse struct {

	// List of CustomJobs in the requested page.
	CustomJobs []*CustomJob `protobuf:"bytes,1,rep,name=custom_jobs,json=customJobs,proto3" json:"custom_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]

func (*ListCustomJobsResponse) Descriptor

func (*ListCustomJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListCustomJobsResponse.ProtoReflect.Descriptor instead.

func (*ListCustomJobsResponse) GetCustomJobs

func (x *ListCustomJobsResponse) GetCustomJobs() []*CustomJob

func (*ListCustomJobsResponse) GetNextPageToken

func (x *ListCustomJobsResponse) GetNextPageToken() string

func (*ListCustomJobsResponse) ProtoMessage

func (*ListCustomJobsResponse) ProtoMessage()

func (*ListCustomJobsResponse) ProtoReflect

func (x *ListCustomJobsResponse) ProtoReflect() protoreflect.Message

func (*ListCustomJobsResponse) Reset

func (x *ListCustomJobsResponse) Reset()

func (*ListCustomJobsResponse) String

func (x *ListCustomJobsResponse) String() string

ListDataItemsRequest

type ListDataItemsRequest struct {

	// Required. The resource name of the Dataset to list DataItems from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].

func (*ListDataItemsRequest) Descriptor

func (*ListDataItemsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDataItemsRequest.ProtoReflect.Descriptor instead.

func (*ListDataItemsRequest) GetFilter

func (x *ListDataItemsRequest) GetFilter() string

func (*ListDataItemsRequest) GetOrderBy

func (x *ListDataItemsRequest) GetOrderBy() string

func (*ListDataItemsRequest) GetPageSize

func (x *ListDataItemsRequest) GetPageSize() int32

func (*ListDataItemsRequest) GetPageToken

func (x *ListDataItemsRequest) GetPageToken() string

func (*ListDataItemsRequest) GetParent

func (x *ListDataItemsRequest) GetParent() string

func (*ListDataItemsRequest) GetReadMask

func (x *ListDataItemsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListDataItemsRequest) ProtoMessage

func (*ListDataItemsRequest) ProtoMessage()

func (*ListDataItemsRequest) ProtoReflect

func (x *ListDataItemsRequest) ProtoReflect() protoreflect.Message

func (*ListDataItemsRequest) Reset

func (x *ListDataItemsRequest) Reset()

func (*ListDataItemsRequest) String

func (x *ListDataItemsRequest) String() string

ListDataItemsResponse

type ListDataItemsResponse struct {

	// A list of DataItems that matches the specified filter in the request.
	DataItems []*DataItem `protobuf:"bytes,1,rep,name=data_items,json=dataItems,proto3" json:"data_items,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].

func (*ListDataItemsResponse) Descriptor

func (*ListDataItemsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDataItemsResponse.ProtoReflect.Descriptor instead.

func (*ListDataItemsResponse) GetDataItems

func (x *ListDataItemsResponse) GetDataItems() []*DataItem

func (*ListDataItemsResponse) GetNextPageToken

func (x *ListDataItemsResponse) GetNextPageToken() string

func (*ListDataItemsResponse) ProtoMessage

func (*ListDataItemsResponse) ProtoMessage()

func (*ListDataItemsResponse) ProtoReflect

func (x *ListDataItemsResponse) ProtoReflect() protoreflect.Message

func (*ListDataItemsResponse) Reset

func (x *ListDataItemsResponse) Reset()

func (*ListDataItemsResponse) String

func (x *ListDataItemsResponse) String() string

ListDataLabelingJobsRequest

type ListDataLabelingJobsRequest struct {

	// Required. The parent of the DataLabelingJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   * `state` supports `=`, `!=` comparisons.
	//   * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   * `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   * `NOT display_name="my_job"`
	//   * `create_time>"2021-05-18T00:00:00Z"`
	//   * `labels.keyA=valueA`
	//   * `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read. FieldMask represents a set of
	// symbolic field paths. For example, the mask can be `paths: "name"`. The
	// "name" here is a field in DataLabelingJob.
	// If this field is not set, all fields of the DataLabelingJob are returned.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order by
	// default.
	// Use `desc` after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].

func (*ListDataLabelingJobsRequest) Descriptor

func (*ListDataLabelingJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDataLabelingJobsRequest.ProtoReflect.Descriptor instead.

func (*ListDataLabelingJobsRequest) GetFilter

func (x *ListDataLabelingJobsRequest) GetFilter() string

func (*ListDataLabelingJobsRequest) GetOrderBy

func (x *ListDataLabelingJobsRequest) GetOrderBy() string

func (*ListDataLabelingJobsRequest) GetPageSize

func (x *ListDataLabelingJobsRequest) GetPageSize() int32

func (*ListDataLabelingJobsRequest) GetPageToken

func (x *ListDataLabelingJobsRequest) GetPageToken() string

func (*ListDataLabelingJobsRequest) GetParent

func (x *ListDataLabelingJobsRequest) GetParent() string

func (*ListDataLabelingJobsRequest) GetReadMask

func (x *ListDataLabelingJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListDataLabelingJobsRequest) ProtoMessage

func (*ListDataLabelingJobsRequest) ProtoMessage()

func (*ListDataLabelingJobsRequest) ProtoReflect

func (x *ListDataLabelingJobsRequest) ProtoReflect() protoreflect.Message

func (*ListDataLabelingJobsRequest) Reset

func (x *ListDataLabelingJobsRequest) Reset()

func (*ListDataLabelingJobsRequest) String

func (x *ListDataLabelingJobsRequest) String() string

ListDataLabelingJobsResponse

type ListDataLabelingJobsResponse struct {

	// A list of DataLabelingJobs that matches the specified filter in the
	// request.
	DataLabelingJobs []*DataLabelingJob `protobuf:"bytes,1,rep,name=data_labeling_jobs,json=dataLabelingJobs,proto3" json:"data_labeling_jobs,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].

func (*ListDataLabelingJobsResponse) Descriptor

func (*ListDataLabelingJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDataLabelingJobsResponse.ProtoReflect.Descriptor instead.

func (*ListDataLabelingJobsResponse) GetDataLabelingJobs

func (x *ListDataLabelingJobsResponse) GetDataLabelingJobs() []*DataLabelingJob

func (*ListDataLabelingJobsResponse) GetNextPageToken

func (x *ListDataLabelingJobsResponse) GetNextPageToken() string

func (*ListDataLabelingJobsResponse) ProtoMessage

func (*ListDataLabelingJobsResponse) ProtoMessage()

func (*ListDataLabelingJobsResponse) ProtoReflect

func (x *ListDataLabelingJobsResponse) ProtoReflect() protoreflect.Message

func (*ListDataLabelingJobsResponse) Reset

func (x *ListDataLabelingJobsResponse) Reset()

func (*ListDataLabelingJobsResponse) String

func (x *ListDataLabelingJobsResponse) String() string

ListDatasetsRequest

type ListDatasetsRequest struct {

	// Required. The name of the Dataset's parent resource.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   * `display_name`: supports = and !=
	//   * `metadata_schema_uri`: supports = and !=
	//   * `labels` supports general map functions that is:
	//     * `labels.key=value` - key:value equality
	//     * `labels.key:* or labels:key - key existence
	//     * A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//
	//   * `displayName="myDisplayName"`
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   * `display_name`
	//   * `create_time`
	//   * `update_time`
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].

func (*ListDatasetsRequest) Descriptor

func (*ListDatasetsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDatasetsRequest.ProtoReflect.Descriptor instead.

func (*ListDatasetsRequest) GetFilter

func (x *ListDatasetsRequest) GetFilter() string

func (*ListDatasetsRequest) GetOrderBy

func (x *ListDatasetsRequest) GetOrderBy() string

func (*ListDatasetsRequest) GetPageSize

func (x *ListDatasetsRequest) GetPageSize() int32

func (*ListDatasetsRequest) GetPageToken

func (x *ListDatasetsRequest) GetPageToken() string

func (*ListDatasetsRequest) GetParent

func (x *ListDatasetsRequest) GetParent() string

func (*ListDatasetsRequest) GetReadMask

func (x *ListDatasetsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListDatasetsRequest) ProtoMessage

func (*ListDatasetsRequest) ProtoMessage()

func (*ListDatasetsRequest) ProtoReflect

func (x *ListDatasetsRequest) ProtoReflect() protoreflect.Message

func (*ListDatasetsRequest) Reset

func (x *ListDatasetsRequest) Reset()

func (*ListDatasetsRequest) String

func (x *ListDatasetsRequest) String() string

ListDatasetsResponse

type ListDatasetsResponse struct {

	// A list of Datasets that matches the specified filter in the request.
	Datasets []*Dataset `protobuf:"bytes,1,rep,name=datasets,proto3" json:"datasets,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].

func (*ListDatasetsResponse) Descriptor

func (*ListDatasetsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDatasetsResponse.ProtoReflect.Descriptor instead.

func (*ListDatasetsResponse) GetDatasets

func (x *ListDatasetsResponse) GetDatasets() []*Dataset

func (*ListDatasetsResponse) GetNextPageToken

func (x *ListDatasetsResponse) GetNextPageToken() string

func (*ListDatasetsResponse) ProtoMessage

func (*ListDatasetsResponse) ProtoMessage()

func (*ListDatasetsResponse) ProtoReflect

func (x *ListDatasetsResponse) ProtoReflect() protoreflect.Message

func (*ListDatasetsResponse) Reset

func (x *ListDatasetsResponse) Reset()

func (*ListDatasetsResponse) String

func (x *ListDatasetsResponse) String() string

ListEndpointsRequest

type ListEndpointsRequest struct {

	// Required. The resource name of the Location from which to list the
	// Endpoints. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. An expression for filtering the results of the request. For field
	// names both snake_case and camelCase are supported.
	//
	//   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
	//     i.e. the last segment of the Endpoint's [resource
	//     name][google.cloud.aiplatform.v1.Endpoint.name].
	//   * `display_name` supports = and, !=
	//   * `labels` supports general map functions that is:
	//     * `labels.key=value` - key:value equality
	//     * `labels.key:* or labels:key - key existence
	//     * A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//   * `endpoint=1`
	//   * `displayName="myDisplayName"`
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
	// of the previous
	// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//   * `display_name`
	//   * `create_time`
	//   * `update_time`
	//
	// Example: `display_name, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].

func (*ListEndpointsRequest) Descriptor

func (*ListEndpointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListEndpointsRequest.ProtoReflect.Descriptor instead.

func (*ListEndpointsRequest) GetFilter

func (x *ListEndpointsRequest) GetFilter() string

func (*ListEndpointsRequest) GetOrderBy

func (x *ListEndpointsRequest) GetOrderBy() string

func (*ListEndpointsRequest) GetPageSize

func (x *ListEndpointsRequest) GetPageSize() int32

func (*ListEndpointsRequest) GetPageToken

func (x *ListEndpointsRequest) GetPageToken() string

func (*ListEndpointsRequest) GetParent

func (x *ListEndpointsRequest) GetParent() string

func (*ListEndpointsRequest) GetReadMask

func (x *ListEndpointsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListEndpointsRequest) ProtoMessage

func (*ListEndpointsRequest) ProtoMessage()

func (*ListEndpointsRequest) ProtoReflect

func (x *ListEndpointsRequest) ProtoReflect() protoreflect.Message

func (*ListEndpointsRequest) Reset

func (x *ListEndpointsRequest) Reset()

func (*ListEndpointsRequest) String

func (x *ListEndpointsRequest) String() string

ListEndpointsResponse

type ListEndpointsResponse struct {

	// List of Endpoints in the requested page.
	Endpoints []*Endpoint `protobuf:"bytes,1,rep,name=endpoints,proto3" json:"endpoints,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].

func (*ListEndpointsResponse) Descriptor

func (*ListEndpointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListEndpointsResponse.ProtoReflect.Descriptor instead.

func (*ListEndpointsResponse) GetEndpoints

func (x *ListEndpointsResponse) GetEndpoints() []*Endpoint

func (*ListEndpointsResponse) GetNextPageToken

func (x *ListEndpointsResponse) GetNextPageToken() string

func (*ListEndpointsResponse) ProtoMessage

func (*ListEndpointsResponse) ProtoMessage()

func (*ListEndpointsResponse) ProtoReflect

func (x *ListEndpointsResponse) ProtoReflect() protoreflect.Message

func (*ListEndpointsResponse) Reset

func (x *ListEndpointsResponse) Reset()

func (*ListEndpointsResponse) String

func (x *ListEndpointsResponse) String() string

ListEntityTypesRequest

type ListEntityTypesRequest struct {

	// Required. The resource name of the Featurestore to list EntityTypes.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the EntityTypes that match the filter expression. The following
	// filters are supported:
	//
	// * `create_time`: Supports `=`, `!=`, `<`, `="">`, `>=`, and `<=` comparisons.="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" `update_time`:="" supports="" `="`," `!="`,"><`, `="">`, `>=`, and `<=` comparisons.="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" `labels`:="" supports="" key-value="" equality="" as="" well="" as="" key="" presence.="" examples:="" *="" `create_time=""> \"2020-01-31T15:30:00.000000Z\" OR
	//      update_time > \"2020-01-31T15:30:00.000000Z\"` --> EntityTypes created
	//      or updated after 2020-01-31T15:30:00.000000Z.
	// * `labels.active = yes AND labels.env = prod` --> EntityTypes having both
	//     (active: yes) and (env: prod) labels.
	// * `labels.env: *` --> Any EntityType which has a label with 'env' as the
	//   key.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of EntityTypes to return. The service may return fewer
	// than this value. If unspecified, at most 1000 EntityTypes will be returned.
	// The maximum value is 1000; any value greater than 1000 will be coerced to
	// 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	//
	// Supported fields:
	//
	//   * `entity_type_id`
	//   * `create_time`
	//   * `update_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].

func (*ListEntityTypesRequest) Descriptor

func (*ListEntityTypesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListEntityTypesRequest.ProtoReflect.Descriptor instead.

func (*ListEntityTypesRequest) GetFilter

func (x *ListEntityTypesRequest) GetFilter() string

func (*ListEntityTypesRequest) GetOrderBy

func (x *ListEntityTypesRequest) GetOrderBy() string

func (*ListEntityTypesRequest) GetPageSize

func (x *ListEntityTypesRequest) GetPageSize() int32

func (*ListEntityTypesRequest) GetPageToken

func (x *ListEntityTypesRequest) GetPageToken() string

func (*ListEntityTypesRequest) GetParent

func (x *ListEntityTypesRequest) GetParent() string

func (*ListEntityTypesRequest) GetReadMask

func (x *ListEntityTypesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListEntityTypesRequest) ProtoMessage

func (*ListEntityTypesRequest) ProtoMessage()

func (*ListEntityTypesRequest) ProtoReflect

func (x *ListEntityTypesRequest) ProtoReflect() protoreflect.Message

func (*ListEntityTypesRequest) Reset

func (x *ListEntityTypesRequest) Reset()

func (*ListEntityTypesRequest) String

func (x *ListEntityTypesRequest) String() string

ListEntityTypesResponse

type ListEntityTypesResponse struct {

	// The EntityTypes matching the request.
	EntityTypes []*EntityType `protobuf:"bytes,1,rep,name=entity_types,json=entityTypes,proto3" json:"entity_types,omitempty"`
	// A token, which can be sent as
	// [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].

func (*ListEntityTypesResponse) Descriptor

func (*ListEntityTypesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListEntityTypesResponse.ProtoReflect.Descriptor instead.

func (*ListEntityTypesResponse) GetEntityTypes

func (x *ListEntityTypesResponse) GetEntityTypes() []*EntityType

func (*ListEntityTypesResponse) GetNextPageToken

func (x *ListEntityTypesResponse) GetNextPageToken() string

func (*ListEntityTypesResponse) ProtoMessage

func (*ListEntityTypesResponse) ProtoMessage()

func (*ListEntityTypesResponse) ProtoReflect

func (x *ListEntityTypesResponse) ProtoReflect() protoreflect.Message

func (*ListEntityTypesResponse) Reset

func (x *ListEntityTypesResponse) Reset()

func (*ListEntityTypesResponse) String

func (x *ListEntityTypesResponse) String() string

ListExecutionsRequest

type ListExecutionsRequest struct {

	// Required. The MetadataStore whose Executions should be listed.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Executions to return. The service may return fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with an
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Filter specifying the boolean condition for the Executions to satisfy in
	// order to be part of the result set.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// Following are the supported set of filters:
	//
	// *  **Attribute filtering**:
	//    For example: `display_name = "test"`.
	//    Supported fields include: `name`, `display_name`, `state`,
	//    `schema_title`, `create_time`, and `update_time`.
	//    Time fields, such as `create_time` and `update_time`, require values
	//    specified in RFC-3339 format.
	//    For example: `create_time = "2020-11-19T11:30:00-04:00"`.
	// *  **Metadata field**:
	//    To filter on metadata fields use traversal operation as follows:
	//    `metadata.

Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].

func (*ListExecutionsRequest) Descriptor

func (*ListExecutionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListExecutionsRequest.ProtoReflect.Descriptor instead.

func (*ListExecutionsRequest) GetFilter

func (x *ListExecutionsRequest) GetFilter() string

func (*ListExecutionsRequest) GetOrderBy

func (x *ListExecutionsRequest) GetOrderBy() string

func (*ListExecutionsRequest) GetPageSize

func (x *ListExecutionsRequest) GetPageSize() int32

func (*ListExecutionsRequest) GetPageToken

func (x *ListExecutionsRequest) GetPageToken() string

func (*ListExecutionsRequest) GetParent

func (x *ListExecutionsRequest) GetParent() string

func (*ListExecutionsRequest) ProtoMessage

func (*ListExecutionsRequest) ProtoMessage()

func (*ListExecutionsRequest) ProtoReflect

func (x *ListExecutionsRequest) ProtoReflect() protoreflect.Message

func (*ListExecutionsRequest) Reset

func (x *ListExecutionsRequest) Reset()

func (*ListExecutionsRequest) String

func (x *ListExecutionsRequest) String() string

ListExecutionsResponse

type ListExecutionsResponse struct {

	// The Executions retrieved from the MetadataStore.
	Executions []*Execution `protobuf:"bytes,1,rep,name=executions,proto3" json:"executions,omitempty"`
	// A token, which can be sent as
	// [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
	// to retrieve the next page.
	// If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].

func (*ListExecutionsResponse) Descriptor

func (*ListExecutionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListExecutionsResponse.ProtoReflect.Descriptor instead.

func (*ListExecutionsResponse) GetExecutions

func (x *ListExecutionsResponse) GetExecutions() []*Execution

func (*ListExecutionsResponse) GetNextPageToken

func (x *ListExecutionsResponse) GetNextPageToken() string

func (*ListExecutionsResponse) ProtoMessage

func (*ListExecutionsResponse) ProtoMessage()

func (*ListExecutionsResponse) ProtoReflect

func (x *ListExecutionsResponse) ProtoReflect() protoreflect.Message

func (*ListExecutionsResponse) Reset

func (x *ListExecutionsResponse) Reset()

func (*ListExecutionsResponse) String

func (x *ListExecutionsResponse) String() string

ListFeaturesRequest

type ListFeaturesRequest struct {

	// Required. The resource name of the Location to list Features.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the Features that match the filter expression. The following
	// filters are supported:
	//
	// * `value_type`: Supports = and != comparisons.
	// * `create_time`: Supports =, !=, <,>, >=, and <= comparisons.="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" `update_time`:="" supports="," !=","><,>, >=, and <= comparisons.="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" `labels`:="" supports="" key-value="" equality="" as="" well="" as="" key="" presence.="" examples:="" *="" `value_type="DOUBLE`" --=""> Features whose type is DOUBLE.
	// * `create_time > \"2020-01-31T15:30:00.000000Z\" OR
	//      update_time > \"2020-01-31T15:30:00.000000Z\"` --> EntityTypes created
	//      or updated after 2020-01-31T15:30:00.000000Z.
	// * `labels.active = yes AND labels.env = prod` --> Features having both
	//     (active: yes) and (env: prod) labels.
	// * `labels.env: *` --> Any Feature which has a label with 'env' as the
	//   key.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of Features to return. The service may return fewer
	// than this value. If unspecified, at most 1000 Features will be returned.
	// The maximum value is 1000; any value greater than 1000 will be coerced to
	// 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   * `feature_id`
	//   * `value_type`
	//   * `create_time`
	//   * `update_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// If set, return the most recent
	// [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
	// of stats for each Feature in response. Valid value is [0, 10]. If number of
	// stats exists < [listfeaturesrequest.latest_stats_count][google.cloud.aiplatform.v1.listfeaturesrequest.latest_stats_count],="" return="" all="" existing="" stats.="" lateststatscount="">int32 `protobuf:"varint,7,opt,name=latest_stats_count,json=latestStatsCount,proto3" json:"latest_stats_count,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].

func (*ListFeaturesRequest) Descriptor

func (*ListFeaturesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturesRequest.ProtoReflect.Descriptor instead.

func (*ListFeaturesRequest) GetFilter

func (x *ListFeaturesRequest) GetFilter() string

func (*ListFeaturesRequest) GetLatestStatsCount

func (x *ListFeaturesRequest) GetLatestStatsCount() int32

func (*ListFeaturesRequest) GetOrderBy

func (x *ListFeaturesRequest) GetOrderBy() string

func (*ListFeaturesRequest) GetPageSize

func (x *ListFeaturesRequest) GetPageSize() int32

func (*ListFeaturesRequest) GetPageToken

func (x *ListFeaturesRequest) GetPageToken() string

func (*ListFeaturesRequest) GetParent

func (x *ListFeaturesRequest) GetParent() string

func (*ListFeaturesRequest) GetReadMask

func (x *ListFeaturesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListFeaturesRequest) ProtoMessage

func (*ListFeaturesRequest) ProtoMessage()

func (*ListFeaturesRequest) ProtoReflect

func (x *ListFeaturesRequest) ProtoReflect() protoreflect.Message

func (*ListFeaturesRequest) Reset

func (x *ListFeaturesRequest) Reset()

func (*ListFeaturesRequest) String

func (x *ListFeaturesRequest) String() string

ListFeaturesResponse

type ListFeaturesResponse struct {

	// The Features matching the request.
	Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
	// A token, which can be sent as
	// [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].

func (*ListFeaturesResponse) Descriptor

func (*ListFeaturesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturesResponse.ProtoReflect.Descriptor instead.

func (*ListFeaturesResponse) GetFeatures

func (x *ListFeaturesResponse) GetFeatures() []*Feature

func (*ListFeaturesResponse) GetNextPageToken

func (x *ListFeaturesResponse) GetNextPageToken() string

func (*ListFeaturesResponse) ProtoMessage

func (*ListFeaturesResponse) ProtoMessage()

func (*ListFeaturesResponse) ProtoReflect

func (x *ListFeaturesResponse) ProtoReflect() protoreflect.Message

func (*ListFeaturesResponse) Reset

func (x *ListFeaturesResponse) Reset()

func (*ListFeaturesResponse) String

func (x *ListFeaturesResponse) String() string

ListFeaturestoresRequest

type ListFeaturestoresRequest struct {

	// Required. The resource name of the Location to list Featurestores.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the featurestores that match the filter expression. The following
	// fields are supported:
	//
	// * `create_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
	// Values must be
	//   in RFC 3339 format.
	// * `update_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
	// Values must be
	//   in RFC 3339 format.
	// * `online_serving_config.fixed_node_count`: Supports `=`, `!=`, `<`, `="">`,
	// `<=`, and="" `="">=` comparisons.
	// * `labels`: Supports key-value equality and key presence.
	//
	// Examples:
	//
	// * `create_time > "2020-01-01" OR update_time > "2020-01-01"`
	//    Featurestores created or updated after 2020-01-01.
	// * `labels.env = "prod"`
	//    Featurestores with label "env" set to "prod".
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of Featurestores to return. The service may return fewer
	// than this value. If unspecified, at most 100 Featurestores will be
	// returned. The maximum value is 100; any value greater than 100 will be
	// coerced to 100.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported Fields:
	//
	//   * `create_time`
	//   * `update_time`
	//   * `online_serving_config.fixed_node_count`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].

func (*ListFeaturestoresRequest) Descriptor

func (*ListFeaturestoresRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturestoresRequest.ProtoReflect.Descriptor instead.

func (*ListFeaturestoresRequest) GetFilter

func (x *ListFeaturestoresRequest) GetFilter() string

func (*ListFeaturestoresRequest) GetOrderBy

func (x *ListFeaturestoresRequest) GetOrderBy() string

func (*ListFeaturestoresRequest) GetPageSize

func (x *ListFeaturestoresRequest) GetPageSize() int32

func (*ListFeaturestoresRequest) GetPageToken

func (x *ListFeaturestoresRequest) GetPageToken() string

func (*ListFeaturestoresRequest) GetParent

func (x *ListFeaturestoresRequest) GetParent() string

func (*ListFeaturestoresRequest) GetReadMask

func (x *ListFeaturestoresRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListFeaturestoresRequest) ProtoMessage

func (*ListFeaturestoresRequest) ProtoMessage()

func (*ListFeaturestoresRequest) ProtoReflect

func (x *ListFeaturestoresRequest) ProtoReflect() protoreflect.Message

func (*ListFeaturestoresRequest) Reset

func (x *ListFeaturestoresRequest) Reset()

func (*ListFeaturestoresRequest) String

func (x *ListFeaturestoresRequest) String() string

ListFeaturestoresResponse

type ListFeaturestoresResponse struct {

	// The Featurestores matching the request.
	Featurestores []*Featurestore `protobuf:"bytes,1,rep,name=featurestores,proto3" json:"featurestores,omitempty"`
	// A token, which can be sent as
	// [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].

func (*ListFeaturestoresResponse) Descriptor

func (*ListFeaturestoresResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturestoresResponse.ProtoReflect.Descriptor instead.

func (*ListFeaturestoresResponse) GetFeaturestores

func (x *ListFeaturestoresResponse) GetFeaturestores() []*Featurestore

func (*ListFeaturestoresResponse) GetNextPageToken

func (x *ListFeaturestoresResponse) GetNextPageToken() string

func (*ListFeaturestoresResponse) ProtoMessage

func (*ListFeaturestoresResponse) ProtoMessage()

func (*ListFeaturestoresResponse) ProtoReflect

func (x *ListFeaturestoresResponse) ProtoReflect() protoreflect.Message

func (*ListFeaturestoresResponse) Reset

func (x *ListFeaturestoresResponse) Reset()

func (*ListFeaturestoresResponse) String

func (x *ListFeaturestoresResponse) String() string

ListHyperparameterTuningJobsRequest

type ListHyperparameterTuningJobsRequest struct {

	// Required. The resource name of the Location to list the
	// HyperparameterTuningJobs from. Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   * `state` supports `=`, `!=` comparisons.
	//   * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   * `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   * `NOT display_name="my_job"`
	//   * `create_time>"2021-05-18T00:00:00Z"`
	//   * `labels.keyA=valueA`
	//   * `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
	// of the previous
	// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].

func (*ListHyperparameterTuningJobsRequest) Descriptor

func (*ListHyperparameterTuningJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListHyperparameterTuningJobsRequest.ProtoReflect.Descriptor instead.

func (*ListHyperparameterTuningJobsRequest) GetFilter

func (x *ListHyperparameterTuningJobsRequest) GetFilter() string

func (*ListHyperparameterTuningJobsRequest) GetPageSize

func (x *ListHyperparameterTuningJobsRequest) GetPageSize() int32

func (*ListHyperparameterTuningJobsRequest) GetPageToken

func (x *ListHyperparameterTuningJobsRequest) GetPageToken() string

func (*ListHyperparameterTuningJobsRequest) GetParent

func (x *ListHyperparameterTuningJobsRequest) GetParent() string

func (*ListHyperparameterTuningJobsRequest) GetReadMask

func (x *ListHyperparameterTuningJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListHyperparameterTuningJobsRequest) ProtoMessage

func (*ListHyperparameterTuningJobsRequest) ProtoMessage()

func (*ListHyperparameterTuningJobsRequest) ProtoReflect

func (x *ListHyperparameterTuningJobsRequest) ProtoReflect() protoreflect.Message

func (*ListHyperparameterTuningJobsRequest) Reset

func (x *ListHyperparameterTuningJobsRequest) Reset()

func (*ListHyperparameterTuningJobsRequest) String

func (x *ListHyperparameterTuningJobsRequest) String() string

ListHyperparameterTuningJobsResponse

type ListHyperparameterTuningJobsResponse struct {
	HyperparameterTuningJobs []*HyperparameterTuningJob "" /* 135 byte string literal not displayed */

	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`

}

Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]

func (*ListHyperparameterTuningJobsResponse) Descriptor

func (*ListHyperparameterTuningJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListHyperparameterTuningJobsResponse.ProtoReflect.Descriptor instead.

func (*ListHyperparameterTuningJobsResponse) GetHyperparameterTuningJobs

func (x *ListHyperparameterTuningJobsResponse) GetHyperparameterTuningJobs() []*HyperparameterTuningJob

func (*ListHyperparameterTuningJobsResponse) GetNextPageToken

func (x *ListHyperparameterTuningJobsResponse) GetNextPageToken() string

func (*ListHyperparameterTuningJobsResponse) ProtoMessage

func (*ListHyperparameterTuningJobsResponse) ProtoMessage()

func (*ListHyperparameterTuningJobsResponse) ProtoReflect

func (x *ListHyperparameterTuningJobsResponse) ProtoReflect() protoreflect.Message

func (*ListHyperparameterTuningJobsResponse) Reset

func (x *ListHyperparameterTuningJobsResponse) Reset()

func (*ListHyperparameterTuningJobsResponse) String

func (x *ListHyperparameterTuningJobsResponse) String() string

ListIndexEndpointsRequest

type ListIndexEndpointsRequest struct {

	// Required. The resource name of the Location from which to list the
	// IndexEndpoints. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. An expression for filtering the results of the request. For field
	// names both snake_case and camelCase are supported.
	//
	//   * `index_endpoint` supports = and !=. `index_endpoint` represents the
	//      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
	//      [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
	//   * `display_name` supports =, != and regex()
	//             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
	//   * `labels` supports general map functions that is:
	//             `labels.key=value` - key:value equality
	//             `labels.key:* or labels:key - key existence
	//              A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//   * `index_endpoint="1"`
	//   * `display_name="myDisplayName"`
	//   * `regex(display_name, "^A") -> The display name starts with an A.
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
	// of the previous
	// [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].

func (*ListIndexEndpointsRequest) Descriptor

func (*ListIndexEndpointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexEndpointsRequest.ProtoReflect.Descriptor instead.

func (*ListIndexEndpointsRequest) GetFilter

func (x *ListIndexEndpointsRequest) GetFilter() string

func (*ListIndexEndpointsRequest) GetPageSize

func (x *ListIndexEndpointsRequest) GetPageSize() int32

func (*ListIndexEndpointsRequest) GetPageToken

func (x *ListIndexEndpointsRequest) GetPageToken() string

func (*ListIndexEndpointsRequest) GetParent

func (x *ListIndexEndpointsRequest) GetParent() string

func (*ListIndexEndpointsRequest) GetReadMask

func (x *ListIndexEndpointsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListIndexEndpointsRequest) ProtoMessage

func (*ListIndexEndpointsRequest) ProtoMessage()

func (*ListIndexEndpointsRequest) ProtoReflect

func (x *ListIndexEndpointsRequest) ProtoReflect() protoreflect.Message

func (*ListIndexEndpointsRequest) Reset

func (x *ListIndexEndpointsRequest) Reset()

func (*ListIndexEndpointsRequest) String

func (x *ListIndexEndpointsRequest) String() string

ListIndexEndpointsResponse

type ListIndexEndpointsResponse struct {

	// List of IndexEndpoints in the requested page.
	IndexEndpoints []*IndexEndpoint `protobuf:"bytes,1,rep,name=index_endpoints,json=indexEndpoints,proto3" json:"index_endpoints,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].

func (*ListIndexEndpointsResponse) Descriptor

func (*ListIndexEndpointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexEndpointsResponse.ProtoReflect.Descriptor instead.

func (*ListIndexEndpointsResponse) GetIndexEndpoints

func (x *ListIndexEndpointsResponse) GetIndexEndpoints() []*IndexEndpoint

func (*ListIndexEndpointsResponse) GetNextPageToken

func (x *ListIndexEndpointsResponse) GetNextPageToken() string

func (*ListIndexEndpointsResponse) ProtoMessage

func (*ListIndexEndpointsResponse) ProtoMessage()

func (*ListIndexEndpointsResponse) ProtoReflect

func (x *ListIndexEndpointsResponse) ProtoReflect() protoreflect.Message

func (*ListIndexEndpointsResponse) Reset

func (x *ListIndexEndpointsResponse) Reset()

func (*ListIndexEndpointsResponse) String

func (x *ListIndexEndpointsResponse) String() string

ListIndexesRequest

type ListIndexesRequest struct {

	// Required. The resource name of the Location from which to list the Indexes.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
	// of the previous
	// [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].

func (*ListIndexesRequest) Descriptor

func (*ListIndexesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexesRequest.ProtoReflect.Descriptor instead.

func (*ListIndexesRequest) GetFilter

func (x *ListIndexesRequest) GetFilter() string

func (*ListIndexesRequest) GetPageSize

func (x *ListIndexesRequest) GetPageSize() int32

func (*ListIndexesRequest) GetPageToken

func (x *ListIndexesRequest) GetPageToken() string

func (*ListIndexesRequest) GetParent

func (x *ListIndexesRequest) GetParent() string

func (*ListIndexesRequest) GetReadMask

func (x *ListIndexesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListIndexesRequest) ProtoMessage

func (*ListIndexesRequest) ProtoMessage()

func (*ListIndexesRequest) ProtoReflect

func (x *ListIndexesRequest) ProtoReflect() protoreflect.Message

func (*ListIndexesRequest) Reset

func (x *ListIndexesRequest) Reset()

func (*ListIndexesRequest) String

func (x *ListIndexesRequest) String() string

ListIndexesResponse

type ListIndexesResponse struct {

	// List of indexes in the requested page.
	Indexes []*Index `protobuf:"bytes,1,rep,name=indexes,proto3" json:"indexes,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].

func (*ListIndexesResponse) Descriptor

func (*ListIndexesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexesResponse.ProtoReflect.Descriptor instead.

func (*ListIndexesResponse) GetIndexes

func (x *ListIndexesResponse) GetIndexes() []*Index

func (*ListIndexesResponse) GetNextPageToken

func (x *ListIndexesResponse) GetNextPageToken() string

func (*ListIndexesResponse) ProtoMessage

func (*ListIndexesResponse) ProtoMessage()

func (*ListIndexesResponse) ProtoReflect

func (x *ListIndexesResponse) ProtoReflect() protoreflect.Message

func (*ListIndexesResponse) Reset

func (x *ListIndexesResponse) Reset()

func (*ListIndexesResponse) String

func (x *ListIndexesResponse) String() string

ListMetadataSchemasRequest

type ListMetadataSchemasRequest struct {

	// Required. The MetadataStore whose MetadataSchemas should be listed.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of MetadataSchemas to return. The service may return
	// fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
	// call. Provide this to retrieve the next page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A query to filter available MetadataSchemas for matching results.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].

func (*ListMetadataSchemasRequest) Descriptor

func (*ListMetadataSchemasRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataSchemasRequest.ProtoReflect.Descriptor instead.

func (*ListMetadataSchemasRequest) GetFilter

func (x *ListMetadataSchemasRequest) GetFilter() string

func (*ListMetadataSchemasRequest) GetPageSize

func (x *ListMetadataSchemasRequest) GetPageSize() int32

func (*ListMetadataSchemasRequest) GetPageToken

func (x *ListMetadataSchemasRequest) GetPageToken() string

func (*ListMetadataSchemasRequest) GetParent

func (x *ListMetadataSchemasRequest) GetParent() string

func (*ListMetadataSchemasRequest) ProtoMessage

func (*ListMetadataSchemasRequest) ProtoMessage()

func (*ListMetadataSchemasRequest) ProtoReflect

func (x *ListMetadataSchemasRequest) ProtoReflect() protoreflect.Message

func (*ListMetadataSchemasRequest) Reset

func (x *ListMetadataSchemasRequest) Reset()

func (*ListMetadataSchemasRequest) String

func (x *ListMetadataSchemasRequest) String() string

ListMetadataSchemasResponse

type ListMetadataSchemasResponse struct {

	// The MetadataSchemas found for the MetadataStore.
	MetadataSchemas []*MetadataSchema `protobuf:"bytes,1,rep,name=metadata_schemas,json=metadataSchemas,proto3" json:"metadata_schemas,omitempty"`
	// A token, which can be sent as
	// [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
	// to retrieve the next page. If this field is not populated, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].

func (*ListMetadataSchemasResponse) Descriptor

func (*ListMetadataSchemasResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataSchemasResponse.ProtoReflect.Descriptor instead.

func (*ListMetadataSchemasResponse) GetMetadataSchemas

func (x *ListMetadataSchemasResponse) GetMetadataSchemas() []*MetadataSchema

func (*ListMetadataSchemasResponse) GetNextPageToken

func (x *ListMetadataSchemasResponse) GetNextPageToken() string

func (*ListMetadataSchemasResponse) ProtoMessage

func (*ListMetadataSchemasResponse) ProtoMessage()

func (*ListMetadataSchemasResponse) ProtoReflect

func (x *ListMetadataSchemasResponse) ProtoReflect() protoreflect.Message

func (*ListMetadataSchemasResponse) Reset

func (x *ListMetadataSchemasResponse) Reset()

func (*ListMetadataSchemasResponse) String

func (x *ListMetadataSchemasResponse) String() string

ListMetadataStoresRequest

type ListMetadataStoresRequest struct {

	// Required. The Location whose MetadataStores should be listed.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Metadata Stores to return. The service may return
	// fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].

func (*ListMetadataStoresRequest) Descriptor

func (*ListMetadataStoresRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataStoresRequest.ProtoReflect.Descriptor instead.

func (*ListMetadataStoresRequest) GetPageSize

func (x *ListMetadataStoresRequest) GetPageSize() int32

func (*ListMetadataStoresRequest) GetPageToken

func (x *ListMetadataStoresRequest) GetPageToken() string

func (*ListMetadataStoresRequest) GetParent

func (x *ListMetadataStoresRequest) GetParent() string

func (*ListMetadataStoresRequest) ProtoMessage

func (*ListMetadataStoresRequest) ProtoMessage()

func (*ListMetadataStoresRequest) ProtoReflect

func (x *ListMetadataStoresRequest) ProtoReflect() protoreflect.Message

func (*ListMetadataStoresRequest) Reset

func (x *ListMetadataStoresRequest) Reset()

func (*ListMetadataStoresRequest) String

func (x *ListMetadataStoresRequest) String() string

ListMetadataStoresResponse

type ListMetadataStoresResponse struct {

	// The MetadataStores found for the Location.
	MetadataStores []*MetadataStore `protobuf:"bytes,1,rep,name=metadata_stores,json=metadataStores,proto3" json:"metadata_stores,omitempty"`
	// A token, which can be sent as
	// [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
	// to retrieve the next page. If this field is not populated, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].

func (*ListMetadataStoresResponse) Descriptor

func (*ListMetadataStoresResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataStoresResponse.ProtoReflect.Descriptor instead.

func (*ListMetadataStoresResponse) GetMetadataStores

func (x *ListMetadataStoresResponse) GetMetadataStores() []*MetadataStore

func (*ListMetadataStoresResponse) GetNextPageToken

func (x *ListMetadataStoresResponse) GetNextPageToken() string

func (*ListMetadataStoresResponse) ProtoMessage

func (*ListMetadataStoresResponse) ProtoMessage()

func (*ListMetadataStoresResponse) ProtoReflect

func (x *ListMetadataStoresResponse) ProtoReflect() protoreflect.Message

func (*ListMetadataStoresResponse) Reset

func (x *ListMetadataStoresResponse) Reset()

func (*ListMetadataStoresResponse) String

func (x *ListMetadataStoresResponse) String() string

ListModelDeploymentMonitoringJobsRequest

type ListModelDeploymentMonitoringJobsRequest struct {

	// Required. The parent of the ModelDeploymentMonitoringJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   * `state` supports `=`, `!=` comparisons.
	//   * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   * `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   * `NOT display_name="my_job"`
	//   * `create_time>"2021-05-18T00:00:00Z"`
	//   * `labels.keyA=valueA`
	//   * `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].

func (*ListModelDeploymentMonitoringJobsRequest) Descriptor

func (*ListModelDeploymentMonitoringJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelDeploymentMonitoringJobsRequest.ProtoReflect.Descriptor instead.

func (*ListModelDeploymentMonitoringJobsRequest) GetFilter

func (x *ListModelDeploymentMonitoringJobsRequest) GetFilter() string

func (*ListModelDeploymentMonitoringJobsRequest) GetPageSize

func (x *ListModelDeploymentMonitoringJobsRequest) GetPageSize() int32

func (*ListModelDeploymentMonitoringJobsRequest) GetPageToken

func (x *ListModelDeploymentMonitoringJobsRequest) GetPageToken() string

func (*ListModelDeploymentMonitoringJobsRequest) GetParent

func (x *ListModelDeploymentMonitoringJobsRequest) GetParent() string

func (*ListModelDeploymentMonitoringJobsRequest) GetReadMask

func (x *ListModelDeploymentMonitoringJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelDeploymentMonitoringJobsRequest) ProtoMessage

func (*ListModelDeploymentMonitoringJobsRequest) ProtoMessage()

func (*ListModelDeploymentMonitoringJobsRequest) ProtoReflect

func (x *ListModelDeploymentMonitoringJobsRequest) ProtoReflect() protoreflect.Message

func (*ListModelDeploymentMonitoringJobsRequest) Reset

func (x *ListModelDeploymentMonitoringJobsRequest) Reset()

func (*ListModelDeploymentMonitoringJobsRequest) String

func (x *ListModelDeploymentMonitoringJobsRequest) String() string

ListModelDeploymentMonitoringJobsResponse

type ListModelDeploymentMonitoringJobsResponse struct {
	ModelDeploymentMonitoringJobs []*ModelDeploymentMonitoringJob "" /* 152 byte string literal not displayed */

	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`

}

Response message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].

func (*ListModelDeploymentMonitoringJobsResponse) Descriptor

func (*ListModelDeploymentMonitoringJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelDeploymentMonitoringJobsResponse.ProtoReflect.Descriptor instead.

func (*ListModelDeploymentMonitoringJobsResponse) GetModelDeploymentMonitoringJobs

func (x *ListModelDeploymentMonitoringJobsResponse) GetModelDeploymentMonitoringJobs() []*ModelDeploymentMonitoringJob

func (*ListModelDeploymentMonitoringJobsResponse) GetNextPageToken

func (x *ListModelDeploymentMonitoringJobsResponse) GetNextPageToken() string

func (*ListModelDeploymentMonitoringJobsResponse) ProtoMessage

func (*ListModelDeploymentMonitoringJobsResponse) ProtoMessage()

func (*ListModelDeploymentMonitoringJobsResponse) ProtoReflect

func (x *ListModelDeploymentMonitoringJobsResponse) ProtoReflect() protoreflect.Message

func (*ListModelDeploymentMonitoringJobsResponse) Reset

func (x *ListModelDeploymentMonitoringJobsResponse) Reset()

func (*ListModelDeploymentMonitoringJobsResponse) String

func (x *ListModelDeploymentMonitoringJobsResponse) String() string

ListModelEvaluationSlicesRequest

type ListModelEvaluationSlicesRequest struct {

	// Required. The resource name of the ModelEvaluation to list the
	// ModelEvaluationSlices from. Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	//   * `slice.dimension` - for =.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
	// of the previous
	// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].

func (*ListModelEvaluationSlicesRequest) Descriptor

func (*ListModelEvaluationSlicesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationSlicesRequest.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationSlicesRequest) GetFilter

func (x *ListModelEvaluationSlicesRequest) GetFilter() string

func (*ListModelEvaluationSlicesRequest) GetPageSize

func (x *ListModelEvaluationSlicesRequest) GetPageSize() int32

func (*ListModelEvaluationSlicesRequest) GetPageToken

func (x *ListModelEvaluationSlicesRequest) GetPageToken() string

func (*ListModelEvaluationSlicesRequest) GetParent

func (x *ListModelEvaluationSlicesRequest) GetParent() string

func (*ListModelEvaluationSlicesRequest) GetReadMask

func (x *ListModelEvaluationSlicesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelEvaluationSlicesRequest) ProtoMessage

func (*ListModelEvaluationSlicesRequest) ProtoMessage()

func (*ListModelEvaluationSlicesRequest) ProtoReflect

func (x *ListModelEvaluationSlicesRequest) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationSlicesRequest) Reset

func (x *ListModelEvaluationSlicesRequest) Reset()

func (*ListModelEvaluationSlicesRequest) String

func (x *ListModelEvaluationSlicesRequest) String() string

ListModelEvaluationSlicesResponse

type ListModelEvaluationSlicesResponse struct {

	// List of ModelEvaluations in the requested page.
	ModelEvaluationSlices []*ModelEvaluationSlice `protobuf:"bytes,1,rep,name=model_evaluation_slices,json=modelEvaluationSlices,proto3" json:"model_evaluation_slices,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].

func (*ListModelEvaluationSlicesResponse) Descriptor

func (*ListModelEvaluationSlicesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationSlicesResponse.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationSlicesResponse) GetModelEvaluationSlices

func (x *ListModelEvaluationSlicesResponse) GetModelEvaluationSlices() []*ModelEvaluationSlice

func (*ListModelEvaluationSlicesResponse) GetNextPageToken

func (x *ListModelEvaluationSlicesResponse) GetNextPageToken() string

func (*ListModelEvaluationSlicesResponse) ProtoMessage

func (*ListModelEvaluationSlicesResponse) ProtoMessage()

func (*ListModelEvaluationSlicesResponse) ProtoReflect

func (x *ListModelEvaluationSlicesResponse) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationSlicesResponse) Reset

func (x *ListModelEvaluationSlicesResponse) Reset()

func (*ListModelEvaluationSlicesResponse) String

func (x *ListModelEvaluationSlicesResponse) String() string

ListModelEvaluationsRequest

type ListModelEvaluationsRequest struct {

	// Required. The resource name of the Model to list the ModelEvaluations from.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
	// of the previous
	// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].

func (*ListModelEvaluationsRequest) Descriptor

func (*ListModelEvaluationsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationsRequest.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationsRequest) GetFilter

func (x *ListModelEvaluationsRequest) GetFilter() string

func (*ListModelEvaluationsRequest) GetPageSize

func (x *ListModelEvaluationsRequest) GetPageSize() int32

func (*ListModelEvaluationsRequest) GetPageToken

func (x *ListModelEvaluationsRequest) GetPageToken() string

func (*ListModelEvaluationsRequest) GetParent

func (x *ListModelEvaluationsRequest) GetParent() string

func (*ListModelEvaluationsRequest) GetReadMask

func (x *ListModelEvaluationsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelEvaluationsRequest) ProtoMessage

func (*ListModelEvaluationsRequest) ProtoMessage()

func (*ListModelEvaluationsRequest) ProtoReflect

func (x *ListModelEvaluationsRequest) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationsRequest) Reset

func (x *ListModelEvaluationsRequest) Reset()

func (*ListModelEvaluationsRequest) String

func (x *ListModelEvaluationsRequest) String() string

ListModelEvaluationsResponse

type ListModelEvaluationsResponse struct {

	// List of ModelEvaluations in the requested page.
	ModelEvaluations []*ModelEvaluation `protobuf:"bytes,1,rep,name=model_evaluations,json=modelEvaluations,proto3" json:"model_evaluations,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].

func (*ListModelEvaluationsResponse) Descriptor

func (*ListModelEvaluationsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationsResponse.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationsResponse) GetModelEvaluations

func (x *ListModelEvaluationsResponse) GetModelEvaluations() []*ModelEvaluation

func (*ListModelEvaluationsResponse) GetNextPageToken

func (x *ListModelEvaluationsResponse) GetNextPageToken() string

func (*ListModelEvaluationsResponse) ProtoMessage

func (*ListModelEvaluationsResponse) ProtoMessage()

func (*ListModelEvaluationsResponse) ProtoReflect

func (x *ListModelEvaluationsResponse) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationsResponse) Reset

func (x *ListModelEvaluationsResponse) Reset()

func (*ListModelEvaluationsResponse) String

func (x *ListModelEvaluationsResponse) String() string

ListModelVersionsRequest

type ListModelVersionsRequest struct {

	// Required. The name of the model to list versions for.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
	// of the previous
	// [ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
	// call.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   * `labels` supports general map functions that is:
	//     * `labels.key=value` - key:value equality
	//     * `labels.key:* or labels:key - key existence
	//     * A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   * `create_time`
	//   * `update_time`
	//
	// Example: `update_time asc, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].

func (*ListModelVersionsRequest) Descriptor

func (*ListModelVersionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelVersionsRequest.ProtoReflect.Descriptor instead.

func (*ListModelVersionsRequest) GetFilter

func (x *ListModelVersionsRequest) GetFilter() string

func (*ListModelVersionsRequest) GetName

func (x *ListModelVersionsRequest) GetName() string

func (*ListModelVersionsRequest) GetOrderBy

func (x *ListModelVersionsRequest) GetOrderBy() string

func (*ListModelVersionsRequest) GetPageSize

func (x *ListModelVersionsRequest) GetPageSize() int32

func (*ListModelVersionsRequest) GetPageToken

func (x *ListModelVersionsRequest) GetPageToken() string

func (*ListModelVersionsRequest) GetReadMask

func (x *ListModelVersionsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelVersionsRequest) ProtoMessage

func (*ListModelVersionsRequest) ProtoMessage()

func (*ListModelVersionsRequest) ProtoReflect

func (x *ListModelVersionsRequest) ProtoReflect() protoreflect.Message

func (*ListModelVersionsRequest) Reset

func (x *ListModelVersionsRequest) Reset()

func (*ListModelVersionsRequest) String

func (x *ListModelVersionsRequest) String() string

ListModelVersionsResponse

type ListModelVersionsResponse struct {

	// List of Model versions in the requested page.
	// In the returned Model name field, version ID instead of regvision tag will
	// be included.
	Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]

func (*ListModelVersionsResponse) Descriptor

func (*ListModelVersionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelVersionsResponse.ProtoReflect.Descriptor instead.

func (*ListModelVersionsResponse) GetModels

func (x *ListModelVersionsResponse) GetModels() []*Model

func (*ListModelVersionsResponse) GetNextPageToken

func (x *ListModelVersionsResponse) GetNextPageToken() string

func (*ListModelVersionsResponse) ProtoMessage

func (*ListModelVersionsResponse) ProtoMessage()

func (*ListModelVersionsResponse) ProtoReflect

func (x *ListModelVersionsResponse) ProtoReflect() protoreflect.Message

func (*ListModelVersionsResponse) Reset

func (x *ListModelVersionsResponse) Reset()

func (*ListModelVersionsResponse) String

func (x *ListModelVersionsResponse) String() string

ListModelsRequest

type ListModelsRequest struct {

	// Required. The resource name of the Location to list the Models from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   * `model` supports = and !=. `model` represents the Model ID,
	//     i.e. the last segment of the Model's [resource
	//     name][google.cloud.aiplatform.v1.Model.name].
	//   * `display_name` supports = and !=
	//   * `labels` supports general map functions that is:
	//     * `labels.key=value` - key:value equality
	//     * `labels.key:* or labels:key - key existence
	//     * A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//
	//   * `model=1234`
	//   * `displayName="myDisplayName"`
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
	// of the previous
	// [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   * `display_name`
	//   * `create_time`
	//   * `update_time`
	//
	// Example: `display_name, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].

func (*ListModelsRequest) Descriptor

func (*ListModelsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelsRequest.ProtoReflect.Descriptor instead.

func (*ListModelsRequest) GetFilter

func (x *ListModelsRequest) GetFilter() string

func (*ListModelsRequest) GetOrderBy

func (x *ListModelsRequest) GetOrderBy() string

func (*ListModelsRequest) GetPageSize

func (x *ListModelsRequest) GetPageSize() int32

func (*ListModelsRequest) GetPageToken

func (x *ListModelsRequest) GetPageToken() string

func (*ListModelsRequest) GetParent

func (x *ListModelsRequest) GetParent() string

func (*ListModelsRequest) GetReadMask

func (x *ListModelsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelsRequest) ProtoMessage

func (*ListModelsRequest) ProtoMessage()

func (*ListModelsRequest) ProtoReflect

func (x *ListModelsRequest) ProtoReflect() protoreflect.Message

func (*ListModelsRequest) Reset

func (x *ListModelsRequest) Reset()

func (*ListModelsRequest) String

func (x *ListModelsRequest) String() string

ListModelsResponse

type ListModelsResponse struct {

	// List of Models in the requested page.
	Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]

func (*ListModelsResponse) Descriptor

func (*ListModelsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelsResponse.ProtoReflect.Descriptor instead.

func (*ListModelsResponse) GetModels

func (x *ListModelsResponse) GetModels() []*Model

func (*ListModelsResponse) GetNextPageToken

func (x *ListModelsResponse) GetNextPageToken() string

func (*ListModelsResponse) ProtoMessage

func (*ListModelsResponse) ProtoMessage()

func (*ListModelsResponse) ProtoReflect

func (x *ListModelsResponse) ProtoReflect() protoreflect.Message

func (*ListModelsResponse) Reset

func (x *ListModelsResponse) Reset()

func (*ListModelsResponse) String

func (x *ListModelsResponse) String() string

ListNasJobsRequest

type ListNasJobsRequest struct {

	// Required. The resource name of the Location to list the NasJobs
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   * `state` supports `=`, `!=` comparisons.
	//   * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   * `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
	//   * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
	//   * `NOT display_name="my_job"`
	//   * `create_time>"2021-05-18T00:00:00Z"`
	//   * `labels.keyA=valueA`
	//   * `labels.keyB:*`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListNasJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListNasJobsResponse.next_page_token]
	// of the previous
	// [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs].

func (*ListNasJobsRequest) Descriptor

func (*ListNasJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListNasJobsRequest.ProtoReflect.Descriptor instead.

func (*ListNasJobsRequest) GetFilter

func (x *ListNasJobsRequest) GetFilter() string

func (*ListNasJobsRequest) GetPageSize

func (x *ListNasJobsRequest) GetPageSize() int32

func (*ListNasJobsRequest) GetPageToken

func (x *ListNasJobsRequest) GetPageToken() string

func (*ListNasJobsRequest) GetParent

func (x *ListNasJobsRequest) GetParent() string

func (*ListNasJobsRequest) GetReadMask

func (x *ListNasJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListNasJobsRequest) ProtoMessage

func (*ListNasJobsRequest) ProtoMessage()

func (*ListNasJobsRequest) ProtoReflect

func (x *ListNasJobsRequest) ProtoReflect() protoreflect.Message

func (*ListNasJobsRequest) Reset

func (x *ListNasJobsRequest) Reset()

func (*ListNasJobsRequest) String

func (x *ListNasJobsRequest) String() string

ListNasJobsResponse

type ListNasJobsResponse struct {

	// List of NasJobs in the requested page.
	// [NasJob.nas_job_output][google.cloud.aiplatform.v1.NasJob.nas_job_output]
	// of the jobs will not be returned.
	NasJobs []*NasJob `protobuf:"bytes,1,rep,name=nas_jobs,json=nasJobs,proto3" json:"nas_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListNasJobsRequest.page_token][google.cloud.aiplatform.v1.ListNasJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs]

func (*ListNasJobsResponse) Descriptor

func (*ListNasJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListNasJobsResponse.ProtoReflect.Descriptor instead.

func (*ListNasJobsResponse) GetNasJobs

func (x *ListNasJobsResponse) GetNasJobs() []*NasJob

func (*ListNasJobsResponse) GetNextPageToken

func (x *ListNasJobsResponse) GetNextPageToken() string

func (*ListNasJobsResponse) ProtoMessage

func (*ListNasJobsResponse) ProtoMessage()

func (*ListNasJobsResponse) ProtoReflect

func (x *ListNasJobsResponse) ProtoReflect() protoreflect.Message

func (*ListNasJobsResponse) Reset

func (x *ListNasJobsResponse) Reset()

func (*ListNasJobsResponse) String

func (x *ListNasJobsResponse) String() string

ListNasTrialDetailsRequest

type ListNasTrialDetailsRequest struct {

	// Required. The name of the NasJob resource.
	// Format:
	// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListNasTrialDetailsResponse.next_page_token][google.cloud.aiplatform.v1.ListNasTrialDetailsResponse.next_page_token]
	// of the previous
	// [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails]
	// call.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails].

func (*ListNasTrialDetailsRequest) Descriptor

func (*ListNasTrialDetailsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListNasTrialDetailsRequest.ProtoReflect.Descriptor instead.

func (*ListNasTrialDetailsRequest) GetPageSize

func (x *ListNasTrialDetailsRequest) GetPageSize() int32

func (*ListNasTrialDetailsRequest) GetPageToken

func (x *ListNasTrialDetailsRequest) GetPageToken() string

func (*ListNasTrialDetailsRequest) GetParent

func (x *ListNasTrialDetailsRequest) GetParent() string

func (*ListNasTrialDetailsRequest) ProtoMessage

func (*ListNasTrialDetailsRequest) ProtoMessage()

func (*ListNasTrialDetailsRequest) ProtoReflect

func (x *ListNasTrialDetailsRequest) ProtoReflect() protoreflect.Message

func (*ListNasTrialDetailsRequest) Reset

func (x *ListNasTrialDetailsRequest) Reset()

func (*ListNasTrialDetailsRequest) String

func (x *ListNasTrialDetailsRequest) String() string

ListNasTrialDetailsResponse

type ListNasTrialDetailsResponse struct {

	// List of top NasTrials in the requested page.
	NasTrialDetails []*NasTrialDetail `protobuf:"bytes,1,rep,name=nas_trial_details,json=nasTrialDetails,proto3" json:"nas_trial_details,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListNasTrialDetailsRequest.page_token][google.cloud.aiplatform.v1.ListNasTrialDetailsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails]

func (*ListNasTrialDetailsResponse) Descriptor

func (*ListNasTrialDetailsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListNasTrialDetailsResponse.ProtoReflect.Descriptor instead.

func (*ListNasTrialDetailsResponse) GetNasTrialDetails

func (x *ListNasTrialDetailsResponse) GetNasTrialDetails() []*NasTrialDetail

func (*ListNasTrialDetailsResponse) GetNextPageToken

func (x *ListNasTrialDetailsResponse) GetNextPageToken() string

func (*ListNasTrialDetailsResponse) ProtoMessage

func (*ListNasTrialDetailsResponse) ProtoMessage()

func (*ListNasTrialDetailsResponse) ProtoReflect

func (x *ListNasTrialDetailsResponse) ProtoReflect() protoreflect.Message

func (*ListNasTrialDetailsResponse) Reset

func (x *ListNasTrialDetailsResponse) Reset()

func (*ListNasTrialDetailsResponse) String

func (x *ListNasTrialDetailsResponse) String() string

ListOptimalTrialsRequest

type ListOptimalTrialsRequest struct {

	// Required. The name of the Study that the optimal Trial belongs to.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].

func (*ListOptimalTrialsRequest) Descriptor

func (*ListOptimalTrialsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListOptimalTrialsRequest.ProtoReflect.Descriptor instead.

func (*ListOptimalTrialsRequest) GetParent

func (x *ListOptimalTrialsRequest) GetParent() string

func (*ListOptimalTrialsRequest) ProtoMessage

func (*ListOptimalTrialsRequest) ProtoMessage()

func (*ListOptimalTrialsRequest) ProtoReflect

func (x *ListOptimalTrialsRequest) ProtoReflect() protoreflect.Message

func (*ListOptimalTrialsRequest) Reset

func (x *ListOptimalTrialsRequest) Reset()

func (*ListOptimalTrialsRequest) String

func (x *ListOptimalTrialsRequest) String() string

ListOptimalTrialsResponse

type ListOptimalTrialsResponse struct {

	// The pareto-optimal Trials for multiple objective Study or the
	// optimal trial for single objective Study. The definition of
	// pareto-optimal can be checked in wiki page.
	// https://en.wikipedia.org/wiki/Pareto_efficiency
	OptimalTrials []*Trial `protobuf:"bytes,1,rep,name=optimal_trials,json=optimalTrials,proto3" json:"optimal_trials,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].

func (*ListOptimalTrialsResponse) Descriptor

func (*ListOptimalTrialsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListOptimalTrialsResponse.ProtoReflect.Descriptor instead.

func (*ListOptimalTrialsResponse) GetOptimalTrials

func (x *ListOptimalTrialsResponse) GetOptimalTrials() []*Trial

func (*ListOptimalTrialsResponse) ProtoMessage

func (*ListOptimalTrialsResponse) ProtoMessage()

func (*ListOptimalTrialsResponse) ProtoReflect

func (x *ListOptimalTrialsResponse) ProtoReflect() protoreflect.Message

func (*ListOptimalTrialsResponse) Reset

func (x *ListOptimalTrialsResponse) Reset()

func (*ListOptimalTrialsResponse) String

func (x *ListOptimalTrialsResponse) String() string

ListPipelineJobsRequest

type ListPipelineJobsRequest struct {

	// Required. The resource name of the Location to list the PipelineJobs from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the PipelineJobs that match the filter expression. The following
	// fields are supported:
	//
	// * `pipeline_name`: Supports `=` and `!=` comparisons.
	// * `display_name`: Supports `=`, `!=` comparisons, and `:` wildcard.
	// * `pipeline_job_user_id`: Supports `=`, `!=` comparisons, and `:` wildcard.
	//   for example, can check if pipeline's display_name contains *step* by
	//   doing display_name:\"*step*\"
	// * `state`: Supports `=` and `!=` comparisons.
	// * `create_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
	//   Values must be in RFC 3339 format.
	// * `update_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
	//   Values must be in RFC 3339 format.
	// * `end_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
	//   Values must be in RFC 3339 format.
	// * `labels`: Supports key-value equality and key presence.
	// * `template_uri`: Supports `=`, `!=` comparisons, and `:` wildcard.
	// * `template_metadata.version`: Supports `=`, `!=` comparisons, and `:`
	//   wildcard.
	//
	// Filter expressions can be combined together using logical operators
	// (`AND` & `OR`).
	// For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`.
	//
	// The syntax to define filter expression is based on
	// https://google.aip.dev/160.
	//
	// Examples:
	//
	// * `create_time>"2021-05-18T00:00:00Z" OR
	//   update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated
	//   after 2020-05-18 00:00:00 UTC.
	// * `labels.env = "prod"`
	//   PipelineJobs with label "env" set to "prod".
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
	// of the previous
	// [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by. The default sort order is in
	// ascending order. Use "desc" after a field name for descending. You can have
	// multiple order_by fields provided e.g. "create_time desc, end_time",
	// "end_time, start_time, update_time" For example, using "create_time desc,
	// end_time" will order results by create time in descending order, and if
	// there are multiple jobs having the same create time, order them by the end
	// time in ascending order. if order_by is not specified, it will order by
	// default order is create time in descending order. Supported fields:
	//
	//   * `create_time`
	//   * `update_time`
	//   * `end_time`
	//   * `start_time`
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,7,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].

func (*ListPipelineJobsRequest) Descriptor

func (*ListPipelineJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListPipelineJobsRequest.ProtoReflect.Descriptor instead.

func (*ListPipelineJobsRequest) GetFilter

func (x *ListPipelineJobsRequest) GetFilter() string

func (*ListPipelineJobsRequest) GetOrderBy

func (x *ListPipelineJobsRequest) GetOrderBy() string

func (*ListPipelineJobsRequest) GetPageSize

func (x *ListPipelineJobsRequest) GetPageSize() int32

func (*ListPipelineJobsRequest) GetPageToken

func (x *ListPipelineJobsRequest) GetPageToken() string

func (*ListPipelineJobsRequest) GetParent

func (x *ListPipelineJobsRequest) GetParent() string

func (*ListPipelineJobsRequest) GetReadMask

func (x *ListPipelineJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListPipelineJobsRequest) ProtoMessage

func (*ListPipelineJobsRequest) ProtoMessage()

func (*ListPipelineJobsRequest) ProtoReflect

func (x *ListPipelineJobsRequest) ProtoReflect() protoreflect.Message

func (*ListPipelineJobsRequest) Reset

func (x *ListPipelineJobsRequest) Reset()

func (*ListPipelineJobsRequest) String

func (x *ListPipelineJobsRequest) String() string

ListPipelineJobsResponse

type ListPipelineJobsResponse struct {

	// List of PipelineJobs in the requested page.
	PipelineJobs []*PipelineJob `protobuf:"bytes,1,rep,name=pipeline_jobs,json=pipelineJobs,proto3" json:"pipeline_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]

func (*ListPipelineJobsResponse) Descriptor

func (*ListPipelineJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListPipelineJobsResponse.ProtoReflect.Descriptor instead.

func (*ListPipelineJobsResponse) GetNextPageToken

func (x *ListPipelineJobsResponse) GetNextPageToken() string

func (*ListPipelineJobsResponse) GetPipelineJobs

func (x *ListPipelineJobsResponse) GetPipelineJobs() []*PipelineJob

func (*ListPipelineJobsResponse) ProtoMessage

func (*ListPipelineJobsResponse) ProtoMessage()

func (*ListPipelineJobsResponse) ProtoReflect

func (x *ListPipelineJobsResponse) ProtoReflect() protoreflect.Message

func (*ListPipelineJobsResponse) Reset

func (x *ListPipelineJobsResponse) Reset()

func (*ListPipelineJobsResponse) String

func (x *ListPipelineJobsResponse) String() string

ListSavedQueriesRequest

type ListSavedQueriesRequest struct {

	// Required. The resource name of the Dataset to list SavedQueries from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].

func (*ListSavedQueriesRequest) Descriptor

func (*ListSavedQueriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListSavedQueriesRequest.ProtoReflect.Descriptor instead.

func (*ListSavedQueriesRequest) GetFilter

func (x *ListSavedQueriesRequest) GetFilter() string

func (*ListSavedQueriesRequest) GetOrderBy

func (x *ListSavedQueriesRequest) GetOrderBy() string

func (*ListSavedQueriesRequest) GetPageSize

func (x *ListSavedQueriesRequest) GetPageSize() int32

func (*ListSavedQueriesRequest) GetPageToken

func (x *ListSavedQueriesRequest) GetPageToken() string

func (*ListSavedQueriesRequest) GetParent

func (x *ListSavedQueriesRequest) GetParent() string

func (*ListSavedQueriesRequest) GetReadMask

func (x *ListSavedQueriesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListSavedQueriesRequest) ProtoMessage

func (*ListSavedQueriesRequest) ProtoMessage()

func (*ListSavedQueriesRequest) ProtoReflect

func (x *ListSavedQueriesRequest) ProtoReflect() protoreflect.Message

func (*ListSavedQueriesRequest) Reset

func (x *ListSavedQueriesRequest) Reset()

func (*ListSavedQueriesRequest) String

func (x *ListSavedQueriesRequest) String() string

ListSavedQueriesResponse

type ListSavedQueriesResponse struct {

	// A list of SavedQueries that match the specified filter in the request.
	SavedQueries []*SavedQuery `protobuf:"bytes,1,rep,name=saved_queries,json=savedQueries,proto3" json:"saved_queries,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].

func (*ListSavedQueriesResponse) Descriptor

func (*ListSavedQueriesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListSavedQueriesResponse.ProtoReflect.Descriptor instead.

func (*ListSavedQueriesResponse) GetNextPageToken

func (x *ListSavedQueriesResponse) GetNextPageToken() string

func (*ListSavedQueriesResponse) GetSavedQueries

func (x *ListSavedQueriesResponse) GetSavedQueries() []*SavedQuery

func (*ListSavedQueriesResponse) ProtoMessage

func (*ListSavedQueriesResponse) ProtoMessage()

func (*ListSavedQueriesResponse) ProtoReflect

func (x *ListSavedQueriesResponse) ProtoReflect() protoreflect.Message

func (*ListSavedQueriesResponse) Reset

func (x *ListSavedQueriesResponse) Reset()

func (*ListSavedQueriesResponse) String

func (x *ListSavedQueriesResponse) String() string

ListSpecialistPoolsRequest

type ListSpecialistPoolsRequest struct {

	// Required. The name of the SpecialistPool's parent resource.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained by
	// [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
	// of the previous
	// [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
	// call. Return first page if empty.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read. FieldMask represents a set of
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,4,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].

func (*ListSpecialistPoolsRequest) Descriptor

func (*ListSpecialistPoolsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListSpecialistPoolsRequest.ProtoReflect.Descriptor instead.

func (*ListSpecialistPoolsRequest) GetPageSize

func (x *ListSpecialistPoolsRequest) GetPageSize() int32

func (*ListSpecialistPoolsRequest) GetPageToken

func (x *ListSpecialistPoolsRequest) GetPageToken() string

func (*ListSpecialistPoolsRequest) GetParent

func (x *ListSpecialistPoolsRequest) GetParent() string

func (*ListSpecialistPoolsRequest) GetReadMask

func (x *ListSpecialistPoolsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListSpecialistPoolsRequest) ProtoMessage

func (*ListSpecialistPoolsRequest) ProtoMessage()

func (*ListSpecialistPoolsRequest) ProtoReflect

func (x *ListSpecialistPoolsRequest) ProtoReflect() protoreflect.Message

func (*ListSpecialistPoolsRequest) Reset

func (x *ListSpecialistPoolsRequest) Reset()

func (*ListSpecialistPoolsRequest) String

func (x *ListSpecialistPoolsRequest) String() string

ListSpecialistPoolsResponse

type ListSpecialistPoolsResponse struct {

	// A list of SpecialistPools that matches the specified filter in the request.
	SpecialistPools []*SpecialistPool `protobuf:"bytes,1,rep,name=specialist_pools,json=specialistPools,proto3" json:"specialist_pools,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].

func (*ListSpecialistPoolsResponse) Descriptor

func (*ListSpecialistPoolsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListSpecialistPoolsResponse.ProtoReflect.Descriptor instead.

func (*ListSpecialistPoolsResponse) GetNextPageToken

func (x *ListSpecialistPoolsResponse) GetNextPageToken() string

func (*ListSpecialistPoolsResponse) GetSpecialistPools

func (x *ListSpecialistPoolsResponse) GetSpecialistPools() []*SpecialistPool

func (*ListSpecialistPoolsResponse) ProtoMessage

func (*ListSpecialistPoolsResponse) ProtoMessage()

func (*ListSpecialistPoolsResponse) ProtoReflect

func (x *ListSpecialistPoolsResponse) ProtoReflect() protoreflect.Message

func (*ListSpecialistPoolsResponse) Reset

func (x *ListSpecialistPoolsResponse) Reset()

func (*ListSpecialistPoolsResponse) String

func (x *ListSpecialistPoolsResponse) String() string

ListStudiesRequest

type ListStudiesRequest struct {

	// Required. The resource name of the Location to list the Study from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. A page token to request the next page of results.
	// If unspecified, there are no subsequent pages.
	PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. The maximum number of studies to return per "page" of results.
	// If unspecified, service will pick an appropriate default.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].

func (*ListStudiesRequest) Descriptor

func (*ListStudiesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListStudiesRequest.ProtoReflect.Descriptor instead.

func (*ListStudiesRequest) GetPageSize

func (x *ListStudiesRequest) GetPageSize() int32

func (*ListStudiesRequest) GetPageToken

func (x *ListStudiesRequest) GetPageToken() string

func (*ListStudiesRequest) GetParent

func (x *ListStudiesRequest) GetParent() string

func (*ListStudiesRequest) ProtoMessage

func (*ListStudiesRequest) ProtoMessage()

func (*ListStudiesRequest) ProtoReflect

func (x *ListStudiesRequest) ProtoReflect() protoreflect.Message

func (*ListStudiesRequest) Reset

func (x *ListStudiesRequest) Reset()

func (*ListStudiesRequest) String

func (x *ListStudiesRequest) String() string

ListStudiesResponse

type ListStudiesResponse struct {

	// The studies associated with the project.
	Studies []*Study `protobuf:"bytes,1,rep,name=studies,proto3" json:"studies,omitempty"`
	// Passes this token as the `page_token` field of the request for a
	// subsequent call.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].

func (*ListStudiesResponse) Descriptor

func (*ListStudiesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListStudiesResponse.ProtoReflect.Descriptor instead.

func (*ListStudiesResponse) GetNextPageToken

func (x *ListStudiesResponse) GetNextPageToken() string

func (*ListStudiesResponse) GetStudies

func (x *ListStudiesResponse) GetStudies() []*Study

func (*ListStudiesResponse) ProtoMessage

func (*ListStudiesResponse) ProtoMessage()

func (*ListStudiesResponse) ProtoReflect

func (x *ListStudiesResponse) ProtoReflect() protoreflect.Message

func (*ListStudiesResponse) Reset

func (x *ListStudiesResponse) Reset()

func (*ListStudiesResponse) String

func (x *ListStudiesResponse) String() string

ListTensorboardExperimentsRequest

type ListTensorboardExperimentsRequest struct {

	// Required. The resource name of the Tensorboard to list
	// TensorboardExperiments. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the TensorboardExperiments that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of TensorboardExperiments to return. The service may
	// return fewer than this value. If unspecified, at most 50
	// TensorboardExperiments are returned. The maximum value is 1000; values
	// above 1000 are coerced to 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].

func (*ListTensorboardExperimentsRequest) Descriptor

func (*ListTensorboardExperimentsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardExperimentsRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardExperimentsRequest) GetFilter

func (x *ListTensorboardExperimentsRequest) GetFilter() string

func (*ListTensorboardExperimentsRequest) GetOrderBy

func (x *ListTensorboardExperimentsRequest) GetOrderBy() string

func (*ListTensorboardExperimentsRequest) GetPageSize

func (x *ListTensorboardExperimentsRequest) GetPageSize() int32

func (*ListTensorboardExperimentsRequest) GetPageToken

func (x *ListTensorboardExperimentsRequest) GetPageToken() string

func (*ListTensorboardExperimentsRequest) GetParent

func (x *ListTensorboardExperimentsRequest) GetParent() string

func (*ListTensorboardExperimentsRequest) GetReadMask

func (x *ListTensorboardExperimentsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardExperimentsRequest) ProtoMessage

func (*ListTensorboardExperimentsRequest) ProtoMessage()

func (*ListTensorboardExperimentsRequest) ProtoReflect

func (x *ListTensorboardExperimentsRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardExperimentsRequest) Reset

func (x *ListTensorboardExperimentsRequest) Reset()

func (*ListTensorboardExperimentsRequest) String

func (x *ListTensorboardExperimentsRequest) String() string

ListTensorboardExperimentsResponse

type ListTensorboardExperimentsResponse struct {
	TensorboardExperiments []*TensorboardExperiment "" /* 127 byte string literal not displayed */

	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`

}

Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].

func (*ListTensorboardExperimentsResponse) Descriptor

func (*ListTensorboardExperimentsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardExperimentsResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardExperimentsResponse) GetNextPageToken

func (x *ListTensorboardExperimentsResponse) GetNextPageToken() string

func (*ListTensorboardExperimentsResponse) GetTensorboardExperiments

func (x *ListTensorboardExperimentsResponse) GetTensorboardExperiments() []*TensorboardExperiment

func (*ListTensorboardExperimentsResponse) ProtoMessage

func (*ListTensorboardExperimentsResponse) ProtoMessage()

func (*ListTensorboardExperimentsResponse) ProtoReflect

func (x *ListTensorboardExperimentsResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardExperimentsResponse) Reset

func (x *ListTensorboardExperimentsResponse) Reset()

func (*ListTensorboardExperimentsResponse) String

func (x *ListTensorboardExperimentsResponse) String() string

ListTensorboardRunsRequest

type ListTensorboardRunsRequest struct {

	// Required. The resource name of the TensorboardExperiment to list
	// TensorboardRuns. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the TensorboardRuns that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of TensorboardRuns to return. The service may return
	// fewer than this value. If unspecified, at most 50 TensorboardRuns are
	// returned. The maximum value is 1000; values above 1000 are coerced to
	// 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].

func (*ListTensorboardRunsRequest) Descriptor

func (*ListTensorboardRunsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardRunsRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardRunsRequest) GetFilter

func (x *ListTensorboardRunsRequest) GetFilter() string

func (*ListTensorboardRunsRequest) GetOrderBy

func (x *ListTensorboardRunsRequest) GetOrderBy() string

func (*ListTensorboardRunsRequest) GetPageSize

func (x *ListTensorboardRunsRequest) GetPageSize() int32

func (*ListTensorboardRunsRequest) GetPageToken

func (x *ListTensorboardRunsRequest) GetPageToken() string

func (*ListTensorboardRunsRequest) GetParent

func (x *ListTensorboardRunsRequest) GetParent() string

func (*ListTensorboardRunsRequest) GetReadMask

func (x *ListTensorboardRunsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardRunsRequest) ProtoMessage

func (*ListTensorboardRunsRequest) ProtoMessage()

func (*ListTensorboardRunsRequest) ProtoReflect

func (x *ListTensorboardRunsRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardRunsRequest) Reset

func (x *ListTensorboardRunsRequest) Reset()

func (*ListTensorboardRunsRequest) String

func (x *ListTensorboardRunsRequest) String() string

ListTensorboardRunsResponse

type ListTensorboardRunsResponse struct {

	// The TensorboardRuns mathching the request.
	TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"`
	// A token, which can be sent as
	// [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].

func (*ListTensorboardRunsResponse) Descriptor

func (*ListTensorboardRunsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardRunsResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardRunsResponse) GetNextPageToken

func (x *ListTensorboardRunsResponse) GetNextPageToken() string

func (*ListTensorboardRunsResponse) GetTensorboardRuns

func (x *ListTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun

func (*ListTensorboardRunsResponse) ProtoMessage

func (*ListTensorboardRunsResponse) ProtoMessage()

func (*ListTensorboardRunsResponse) ProtoReflect

func (x *ListTensorboardRunsResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardRunsResponse) Reset

func (x *ListTensorboardRunsResponse) Reset()

func (*ListTensorboardRunsResponse) String

func (x *ListTensorboardRunsResponse) String() string

ListTensorboardTimeSeriesRequest

type ListTensorboardTimeSeriesRequest struct {

	// Required. The resource name of the TensorboardRun to list
	// TensorboardTimeSeries. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the TensorboardTimeSeries that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of TensorboardTimeSeries to return. The service may
	// return fewer than this value. If unspecified, at most 50
	// TensorboardTimeSeries are returned. The maximum value is 1000; values
	// above 1000 are coerced to 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].

func (*ListTensorboardTimeSeriesRequest) Descriptor

func (*ListTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardTimeSeriesRequest) GetFilter

func (x *ListTensorboardTimeSeriesRequest) GetFilter() string

func (*ListTensorboardTimeSeriesRequest) GetOrderBy

func (x *ListTensorboardTimeSeriesRequest) GetOrderBy() string

func (*ListTensorboardTimeSeriesRequest) GetPageSize

func (x *ListTensorboardTimeSeriesRequest) GetPageSize() int32

func (*ListTensorboardTimeSeriesRequest) GetPageToken

func (x *ListTensorboardTimeSeriesRequest) GetPageToken() string

func (*ListTensorboardTimeSeriesRequest) GetParent

func (x *ListTensorboardTimeSeriesRequest) GetParent() string

func (*ListTensorboardTimeSeriesRequest) GetReadMask

func (x *ListTensorboardTimeSeriesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardTimeSeriesRequest) ProtoMessage

func (*ListTensorboardTimeSeriesRequest) ProtoMessage()

func (*ListTensorboardTimeSeriesRequest) ProtoReflect

func (x *ListTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardTimeSeriesRequest) Reset

func (x *ListTensorboardTimeSeriesRequest) Reset()

func (*ListTensorboardTimeSeriesRequest) String

func (x *ListTensorboardTimeSeriesRequest) String() string

ListTensorboardTimeSeriesResponse

type ListTensorboardTimeSeriesResponse struct {

	// The TensorboardTimeSeries mathching the request.
	TensorboardTimeSeries []*TensorboardTimeSeries `protobuf:"bytes,1,rep,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// A token, which can be sent as
	// [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].

func (*ListTensorboardTimeSeriesResponse) Descriptor

func (*ListTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardTimeSeriesResponse) GetNextPageToken

func (x *ListTensorboardTimeSeriesResponse) GetNextPageToken() string

func (*ListTensorboardTimeSeriesResponse) GetTensorboardTimeSeries

func (x *ListTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries

func (*ListTensorboardTimeSeriesResponse) ProtoMessage

func (*ListTensorboardTimeSeriesResponse) ProtoMessage()

func (*ListTensorboardTimeSeriesResponse) ProtoReflect

func (x *ListTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardTimeSeriesResponse) Reset

func (x *ListTensorboardTimeSeriesResponse) Reset()

func (*ListTensorboardTimeSeriesResponse) String

func (x *ListTensorboardTimeSeriesResponse) String() string

ListTensorboardsRequest

type ListTensorboardsRequest struct {

	// Required. The resource name of the Location to list Tensorboards.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the Tensorboards that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of Tensorboards to return. The service may return
	// fewer than this value. If unspecified, at most 100 Tensorboards are
	// returned. The maximum value is 100; values above 100 are coerced to
	// 100.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
	// must match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].

func (*ListTensorboardsRequest) Descriptor

func (*ListTensorboardsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardsRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardsRequest) GetFilter

func (x *ListTensorboardsRequest) GetFilter() string

func (*ListTensorboardsRequest) GetOrderBy

func (x *ListTensorboardsRequest) GetOrderBy() string

func (*ListTensorboardsRequest) GetPageSize

func (x *ListTensorboardsRequest) GetPageSize() int32

func (*ListTensorboardsRequest) GetPageToken

func (x *ListTensorboardsRequest) GetPageToken() string

func (*ListTensorboardsRequest) GetParent

func (x *ListTensorboardsRequest) GetParent() string

func (*ListTensorboardsRequest) GetReadMask

func (x *ListTensorboardsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardsRequest) ProtoMessage

func (*ListTensorboardsRequest) ProtoMessage()

func (*ListTensorboardsRequest) ProtoReflect

func (x *ListTensorboardsRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardsRequest) Reset

func (x *ListTensorboardsRequest) Reset()

func (*ListTensorboardsRequest) String

func (x *ListTensorboardsRequest) String() string

ListTensorboardsResponse

type ListTensorboardsResponse struct {

	// The Tensorboards mathching the request.
	Tensorboards []*Tensorboard `protobuf:"bytes,1,rep,name=tensorboards,proto3" json:"tensorboards,omitempty"`
	// A token, which can be sent as
	// [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].

func (*ListTensorboardsResponse) Descriptor

func (*ListTensorboardsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardsResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardsResponse) GetNextPageToken

func (x *ListTensorboardsResponse) GetNextPageToken() string

func (*ListTensorboardsResponse) GetTensorboards

func (x *ListTensorboardsResponse) GetTensorboards() []*Tensorboard

func (*ListTensorboardsResponse) ProtoMessage

func (*ListTensorboardsResponse) ProtoMessage()

func (*ListTensorboardsResponse) ProtoReflect

func (x *ListTensorboardsResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardsResponse) Reset

func (x *ListTensorboardsResponse) Reset()

func (*ListTensorboardsResponse) String

func (x *ListTensorboardsResponse) String() string

ListTrainingPipelinesRequest

type ListTrainingPipelinesRequest struct {

	// Required. The resource name of the Location to list the TrainingPipelines
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
	//   * `state` supports `=`, `!=` comparisons.
	//   * `training_task_definition` `=`, `!=` comparisons, and `:` wildcard.
	//   * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
	//     `create_time` must be in RFC 3339 format.
	//   * `labels` supports general map functions that is:
	//     `labels.key=value` - key:value equality
	//     `labels.key:* - key existence
	//
	// Some examples of using the filter are:
	//
	//   * `state="PIPELINE_STATE_SUCCEEDED" AND display_name:"my_pipeline_*"`
	//   * `state!="PIPELINE_STATE_FAILED" OR display_name="my_pipeline"`
	//   * `NOT display_name="my_pipeline"`
	//   * `create_time>"2021-05-18T00:00:00Z"`
	//   * `training_task_definition:"*automl_text_classification*"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
	// of the previous
	// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
	// call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].

func (*ListTrainingPipelinesRequest) Descriptor

func (*ListTrainingPipelinesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTrainingPipelinesRequest.ProtoReflect.Descriptor instead.

func (*ListTrainingPipelinesRequest) GetFilter

func (x *ListTrainingPipelinesRequest) GetFilter() string

func (*ListTrainingPipelinesRequest) GetPageSize

func (x *ListTrainingPipelinesRequest) GetPageSize() int32

func (*ListTrainingPipelinesRequest) GetPageToken

func (x *ListTrainingPipelinesRequest) GetPageToken() string

func (*ListTrainingPipelinesRequest) GetParent

func (x *ListTrainingPipelinesRequest) GetParent() string

func (*ListTrainingPipelinesRequest) GetReadMask

func (x *ListTrainingPipelinesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTrainingPipelinesRequest) ProtoMessage

func (*ListTrainingPipelinesRequest) ProtoMessage()

func (*ListTrainingPipelinesRequest) ProtoReflect

func (x *ListTrainingPipelinesRequest) ProtoReflect() protoreflect.Message

func (*ListTrainingPipelinesRequest) Reset

func (x *ListTrainingPipelinesRequest) Reset()

func (*ListTrainingPipelinesRequest) String

func (x *ListTrainingPipelinesRequest) String() string

ListTrainingPipelinesResponse

type ListTrainingPipelinesResponse struct {

	// List of TrainingPipelines in the requested page.
	TrainingPipelines []*TrainingPipeline `protobuf:"bytes,1,rep,name=training_pipelines,json=trainingPipelines,proto3" json:"training_pipelines,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]

func (*ListTrainingPipelinesResponse) Descriptor

func (*ListTrainingPipelinesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTrainingPipelinesResponse.ProtoReflect.Descriptor instead.

func (*ListTrainingPipelinesResponse) GetNextPageToken

func (x *ListTrainingPipelinesResponse) GetNextPageToken() string

func (*ListTrainingPipelinesResponse) GetTrainingPipelines

func (x *ListTrainingPipelinesResponse) GetTrainingPipelines() []*TrainingPipeline

func (*ListTrainingPipelinesResponse) ProtoMessage

func (*ListTrainingPipelinesResponse) ProtoMessage()

func (*ListTrainingPipelinesResponse) ProtoReflect

func (x *ListTrainingPipelinesResponse) ProtoReflect() protoreflect.Message

func (*ListTrainingPipelinesResponse) Reset

func (x *ListTrainingPipelinesResponse) Reset()

func (*ListTrainingPipelinesResponse) String

func (x *ListTrainingPipelinesResponse) String() string

ListTrialsRequest

type ListTrialsRequest struct {

	// Required. The resource name of the Study to list the Trial from.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. A page token to request the next page of results.
	// If unspecified, there are no subsequent pages.
	PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. The number of Trials to retrieve per "page" of results.
	// If unspecified, the service will pick an appropriate default.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].

func (*ListTrialsRequest) Descriptor

func (*ListTrialsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTrialsRequest.ProtoReflect.Descriptor instead.

func (*ListTrialsRequest) GetPageSize

func (x *ListTrialsRequest) GetPageSize() int32

func (*ListTrialsRequest) GetPageToken

func (x *ListTrialsRequest) GetPageToken() string

func (*ListTrialsRequest) GetParent

func (x *ListTrialsRequest) GetParent() string

func (*ListTrialsRequest) ProtoMessage

func (*ListTrialsRequest) ProtoMessage()

func (*ListTrialsRequest) ProtoReflect

func (x *ListTrialsRequest) ProtoReflect() protoreflect.Message

func (*ListTrialsRequest) Reset

func (x *ListTrialsRequest) Reset()

func (*ListTrialsRequest) String

func (x *ListTrialsRequest) String() string

ListTrialsResponse

type ListTrialsResponse struct {

	// The Trials associated with the Study.
	Trials []*Trial `protobuf:"bytes,1,rep,name=trials,proto3" json:"trials,omitempty"`
	// Pass this token as the `page_token` field of the request for a
	// subsequent call.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].

func (*ListTrialsResponse) Descriptor

func (*ListTrialsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTrialsResponse.ProtoReflect.Descriptor instead.

func (*ListTrialsResponse) GetNextPageToken

func (x *ListTrialsResponse) GetNextPageToken() string

func (*ListTrialsResponse) GetTrials

func (x *ListTrialsResponse) GetTrials() []*Trial

func (*ListTrialsResponse) ProtoMessage

func (*ListTrialsResponse) ProtoMessage()

func (*ListTrialsResponse) ProtoReflect

func (x *ListTrialsResponse) ProtoReflect() protoreflect.Message

func (*ListTrialsResponse) Reset

func (x *ListTrialsResponse) Reset()

func (*ListTrialsResponse) String

func (x *ListTrialsResponse) String() string

LookupStudyRequest

type LookupStudyRequest struct {

	// Required. The resource name of the Location to get the Study from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The user-defined display name of the Study
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].

func (*LookupStudyRequest) Descriptor

func (*LookupStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use LookupStudyRequest.ProtoReflect.Descriptor instead.

func (*LookupStudyRequest) GetDisplayName

func (x *LookupStudyRequest) GetDisplayName() string

func (*LookupStudyRequest) GetParent

func (x *LookupStudyRequest) GetParent() string

func (*LookupStudyRequest) ProtoMessage

func (*LookupStudyRequest) ProtoMessage()

func (*LookupStudyRequest) ProtoReflect

func (x *LookupStudyRequest) ProtoReflect() protoreflect.Message

func (*LookupStudyRequest) Reset

func (x *LookupStudyRequest) Reset()

func (*LookupStudyRequest) String

func (x *LookupStudyRequest) String() string

MachineSpec

type MachineSpec struct {
	MachineType string `protobuf:"bytes,1,opt,name=machine_type,json=machineType,proto3" json:"machine_type,omitempty"`

	AcceleratorType AcceleratorType "" /* 155 byte string literal not displayed */

	AcceleratorCount int32 `protobuf:"varint,3,opt,name=accelerator_count,json=acceleratorCount,proto3" json:"accelerator_count,omitempty"`

}

Specification of a single machine.

func (*MachineSpec) Descriptor

func (*MachineSpec) Descriptor() ([]byte, []int)

Deprecated: Use MachineSpec.ProtoReflect.Descriptor instead.

func (*MachineSpec) GetAcceleratorCount

func (x *MachineSpec) GetAcceleratorCount() int32

func (*MachineSpec) GetAcceleratorType

func (x *MachineSpec) GetAcceleratorType() AcceleratorType

func (*MachineSpec) GetMachineType

func (x *MachineSpec) GetMachineType() string

func (*MachineSpec) ProtoMessage

func (*MachineSpec) ProtoMessage()

func (*MachineSpec) ProtoReflect

func (x *MachineSpec) ProtoReflect() protoreflect.Message

func (*MachineSpec) Reset

func (x *MachineSpec) Reset()

func (*MachineSpec) String

func (x *MachineSpec) String() string

ManualBatchTuningParameters

type ManualBatchTuningParameters struct {

	// Immutable. The number of the records (e.g. instances) of the operation
	// given in each batch to a machine replica. Machine type, and size of a
	// single record should be considered when setting this parameter, higher
	// value speeds up the batch operation's execution, but too high value will
	// result in a whole batch not fitting in a machine's memory, and the whole
	// operation will fail.
	// The default value is 64.
	BatchSize int32 `protobuf:"varint,1,opt,name=batch_size,json=batchSize,proto3" json:"batch_size,omitempty"`
	// contains filtered or unexported fields
}

Manual batch tuning parameters.

func (*ManualBatchTuningParameters) Descriptor

func (*ManualBatchTuningParameters) Descriptor() ([]byte, []int)

Deprecated: Use ManualBatchTuningParameters.ProtoReflect.Descriptor instead.

func (*ManualBatchTuningParameters) GetBatchSize

func (x *ManualBatchTuningParameters) GetBatchSize() int32

func (*ManualBatchTuningParameters) ProtoMessage

func (*ManualBatchTuningParameters) ProtoMessage()

func (*ManualBatchTuningParameters) ProtoReflect

func (x *ManualBatchTuningParameters) ProtoReflect() protoreflect.Message

func (*ManualBatchTuningParameters) Reset

func (x *ManualBatchTuningParameters) Reset()

func (*ManualBatchTuningParameters) String

func (x *ManualBatchTuningParameters) String() string

Measurement

type Measurement struct {

	// Output only. Time that the Trial has been running at the point of this
	// Measurement.
	ElapsedDuration *durationpb.Duration `protobuf:"bytes,1,opt,name=elapsed_duration,json=elapsedDuration,proto3" json:"elapsed_duration,omitempty"`
	// Output only. The number of steps the machine learning model has been
	// trained for. Must be non-negative.
	StepCount int64 `protobuf:"varint,2,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
	// Output only. A list of metrics got by evaluating the objective functions
	// using suggested Parameter values.
	Metrics []*Measurement_Metric `protobuf:"bytes,3,rep,name=metrics,proto3" json:"metrics,omitempty"`
	// contains filtered or unexported fields
}

A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.

func (*Measurement) Descriptor

func (*Measurement) Descriptor() ([]byte, []int)

Deprecated: Use Measurement.ProtoReflect.Descriptor instead.

func (*Measurement) GetElapsedDuration

func (x *Measurement) GetElapsedDuration() *durationpb.Duration

func (*Measurement) GetMetrics

func (x *Measurement) GetMetrics() []*Measurement_Metric

func (*Measurement) GetStepCount

func (x *Measurement) GetStepCount() int64

func (*Measurement) ProtoMessage

func (*Measurement) ProtoMessage()

func (*Measurement) ProtoReflect

func (x *Measurement) ProtoReflect() protoreflect.Message

func (*Measurement) Reset

func (x *Measurement) Reset()

func (*Measurement) String

func (x *Measurement) String() string

Measurement_Metric

type Measurement_Metric struct {

	// Output only. The ID of the Metric. The Metric should be defined in
	// [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
	MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`
	// Output only. The value for this metric.
	Value float64 `protobuf:"fixed64,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

A message representing a metric in the measurement.

func (*Measurement_Metric) Descriptor

func (*Measurement_Metric) Descriptor() ([]byte, []int)

Deprecated: Use Measurement_Metric.ProtoReflect.Descriptor instead.

func (*Measurement_Metric) GetMetricId

func (x *Measurement_Metric) GetMetricId() string

func (*Measurement_Metric) GetValue

func (x *Measurement_Metric) GetValue() float64

func (*Measurement_Metric) ProtoMessage

func (*Measurement_Metric) ProtoMessage()

func (*Measurement_Metric) ProtoReflect

func (x *Measurement_Metric) ProtoReflect() protoreflect.Message

func (*Measurement_Metric) Reset

func (x *Measurement_Metric) Reset()

func (*Measurement_Metric) String

func (x *Measurement_Metric) String() string

MergeVersionAliasesRequest

type MergeVersionAliasesRequest struct {

	// Required. The name of the model version to merge aliases, with a version ID
	// explicitly included.
	//
	// Example: `projects/{project}/locations/{location}/models/{model}@1234`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The set of version aliases to merge.
	// The alias should be at most 128 characters, and match
	// `[a-z][a-zA-Z0-9-]{0,126}[a-z-0-9]`.
	// Add the `-` prefix to an alias means removing that alias from the version.
	// `-` is NOT counted in the 128 characters. Example: `-golden` means removing
	// the `golden` alias from the version.
	//
	// There is NO ordering in aliases, which means
	// 1) The aliases returned from GetModel API might not have the exactly same
	// order from this MergeVersionAliases API. 2) Adding and deleting the same
	// alias in the request is not recommended, and the 2 operations will be
	// cancelled out.
	VersionAliases []string `protobuf:"bytes,2,rep,name=version_aliases,json=versionAliases,proto3" json:"version_aliases,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].

func (*MergeVersionAliasesRequest) Descriptor

func (*MergeVersionAliasesRequest) Descriptor() ([]byte, []int)

Deprecated: Use MergeVersionAliasesRequest.ProtoReflect.Descriptor instead.

func (*MergeVersionAliasesRequest) GetName

func (x *MergeVersionAliasesRequest) GetName() string

func (*MergeVersionAliasesRequest) GetVersionAliases

func (x *MergeVersionAliasesRequest) GetVersionAliases() []string

func (*MergeVersionAliasesRequest) ProtoMessage

func (*MergeVersionAliasesRequest) ProtoMessage()

func (*MergeVersionAliasesRequest) ProtoReflect

func (x *MergeVersionAliasesRequest) ProtoReflect() protoreflect.Message

func (*MergeVersionAliasesRequest) Reset

func (x *MergeVersionAliasesRequest) Reset()

func (*MergeVersionAliasesRequest) String

func (x *MergeVersionAliasesRequest) String() string

MetadataSchema

type MetadataSchema struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	SchemaVersion string `protobuf:"bytes,2,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`

	Schema string `protobuf:"bytes,3,opt,name=schema,proto3" json:"schema,omitempty"`

	SchemaType MetadataSchema_MetadataSchemaType "" /* 158 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`

}

Instance of a general MetadataSchema.

func (*MetadataSchema) Descriptor

func (*MetadataSchema) Descriptor() ([]byte, []int)

Deprecated: Use MetadataSchema.ProtoReflect.Descriptor instead.

func (*MetadataSchema) GetCreateTime

func (x *MetadataSchema) GetCreateTime() *timestamppb.Timestamp

func (*MetadataSchema) GetDescription

func (x *MetadataSchema) GetDescription() string

func (*MetadataSchema) GetName

func (x *MetadataSchema) GetName() string

func (*MetadataSchema) GetSchema

func (x *MetadataSchema) GetSchema() string

func (*MetadataSchema) GetSchemaType

func (x *MetadataSchema) GetSchemaType() MetadataSchema_MetadataSchemaType

func (*MetadataSchema) GetSchemaVersion

func (x *MetadataSchema) GetSchemaVersion() string

func (*MetadataSchema) ProtoMessage

func (*MetadataSchema) ProtoMessage()

func (*MetadataSchema) ProtoReflect

func (x *MetadataSchema) ProtoReflect() protoreflect.Message

func (*MetadataSchema) Reset

func (x *MetadataSchema) Reset()

func (*MetadataSchema) String

func (x *MetadataSchema) String() string

MetadataSchema_MetadataSchemaType

type MetadataSchema_MetadataSchemaType int32

Describes the type of the MetadataSchema.

MetadataSchema_METADATA_SCHEMA_TYPE_UNSPECIFIED, MetadataSchema_ARTIFACT_TYPE, MetadataSchema_EXECUTION_TYPE, MetadataSchema_CONTEXT_TYPE

const (
	// Unspecified type for the MetadataSchema.
	MetadataSchema_METADATA_SCHEMA_TYPE_UNSPECIFIED MetadataSchema_MetadataSchemaType = 0
	// A type indicating that the MetadataSchema will be used by Artifacts.
	MetadataSchema_ARTIFACT_TYPE MetadataSchema_MetadataSchemaType = 1
	// A typee indicating that the MetadataSchema will be used by Executions.
	MetadataSchema_EXECUTION_TYPE MetadataSchema_MetadataSchemaType = 2
	// A state indicating that the MetadataSchema will be used by Contexts.
	MetadataSchema_CONTEXT_TYPE MetadataSchema_MetadataSchemaType = 3
)

func (MetadataSchema_MetadataSchemaType) Descriptor

func (MetadataSchema_MetadataSchemaType) Descriptor() protoreflect.EnumDescriptor

func (MetadataSchema_MetadataSchemaType) Enum

func (x MetadataSchema_MetadataSchemaType) Enum() *MetadataSchema_MetadataSchemaType

func (MetadataSchema_MetadataSchemaType) EnumDescriptor

func (MetadataSchema_MetadataSchemaType) EnumDescriptor() ([]byte, []int)

Deprecated: Use MetadataSchema_MetadataSchemaType.Descriptor instead.

func (MetadataSchema_MetadataSchemaType) Number

func (x MetadataSchema_MetadataSchemaType) Number() protoreflect.EnumNumber

func (MetadataSchema_MetadataSchemaType) String

func (x MetadataSchema_MetadataSchemaType) String() string

func (MetadataSchema_MetadataSchemaType) Type

func (MetadataSchema_MetadataSchemaType) Type() protoreflect.EnumType

MetadataServiceClient

type MetadataServiceClient interface {
	// Initializes a MetadataStore, including allocation of resources.
	CreateMetadataStore(ctx context.Context, in *CreateMetadataStoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Retrieves a specific MetadataStore.
	GetMetadataStore(ctx context.Context, in *GetMetadataStoreRequest, opts ...grpc.CallOption) (*MetadataStore, error)
	// Lists MetadataStores for a Location.
	ListMetadataStores(ctx context.Context, in *ListMetadataStoresRequest, opts ...grpc.CallOption) (*ListMetadataStoresResponse, error)
	// Deletes a single MetadataStore and all its child resources (Artifacts,
	// Executions, and Contexts).
	DeleteMetadataStore(ctx context.Context, in *DeleteMetadataStoreRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates an Artifact associated with a MetadataStore.
	CreateArtifact(ctx context.Context, in *CreateArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
	// Retrieves a specific Artifact.
	GetArtifact(ctx context.Context, in *GetArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
	// Lists Artifacts in the MetadataStore.
	ListArtifacts(ctx context.Context, in *ListArtifactsRequest, opts ...grpc.CallOption) (*ListArtifactsResponse, error)
	// Updates a stored Artifact.
	UpdateArtifact(ctx context.Context, in *UpdateArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
	// Deletes an Artifact.
	DeleteArtifact(ctx context.Context, in *DeleteArtifactRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Purges Artifacts.
	PurgeArtifacts(ctx context.Context, in *PurgeArtifactsRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a Context associated with a MetadataStore.
	CreateContext(ctx context.Context, in *CreateContextRequest, opts ...grpc.CallOption) (*Context, error)
	// Retrieves a specific Context.
	GetContext(ctx context.Context, in *GetContextRequest, opts ...grpc.CallOption) (*Context, error)
	// Lists Contexts on the MetadataStore.
	ListContexts(ctx context.Context, in *ListContextsRequest, opts ...grpc.CallOption) (*ListContextsResponse, error)
	// Updates a stored Context.
	UpdateContext(ctx context.Context, in *UpdateContextRequest, opts ...grpc.CallOption) (*Context, error)
	// Deletes a stored Context.
	DeleteContext(ctx context.Context, in *DeleteContextRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Purges Contexts.
	PurgeContexts(ctx context.Context, in *PurgeContextsRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Adds a set of Artifacts and Executions to a Context. If any of the
	// Artifacts or Executions have already been added to a Context, they are
	// simply skipped.
	AddContextArtifactsAndExecutions(ctx context.Context, in *AddContextArtifactsAndExecutionsRequest, opts ...grpc.CallOption) (*AddContextArtifactsAndExecutionsResponse, error)
	// Adds a set of Contexts as children to a parent Context. If any of the
	// child Contexts have already been added to the parent Context, they are
	// simply skipped. If this call would create a cycle or cause any Context to
	// have more than 10 parents, the request will fail with an INVALID_ARGUMENT
	// error.
	AddContextChildren(ctx context.Context, in *AddContextChildrenRequest, opts ...grpc.CallOption) (*AddContextChildrenResponse, error)
	// Remove a set of children contexts from a parent Context. If any of the
	// child Contexts were NOT added to the parent Context, they are
	// simply skipped.
	RemoveContextChildren(ctx context.Context, in *RemoveContextChildrenRequest, opts ...grpc.CallOption) (*RemoveContextChildrenResponse, error)
	// Retrieves Artifacts and Executions within the specified Context, connected
	// by Event edges and returned as a LineageSubgraph.
	QueryContextLineageSubgraph(ctx context.Context, in *QueryContextLineageSubgraphRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
	// Creates an Execution associated with a MetadataStore.
	CreateExecution(ctx context.Context, in *CreateExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
	// Retrieves a specific Execution.
	GetExecution(ctx context.Context, in *GetExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
	// Lists Executions in the MetadataStore.
	ListExecutions(ctx context.Context, in *ListExecutionsRequest, opts ...grpc.CallOption) (*ListExecutionsResponse, error)
	// Updates a stored Execution.
	UpdateExecution(ctx context.Context, in *UpdateExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
	// Deletes an Execution.
	DeleteExecution(ctx context.Context, in *DeleteExecutionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Purges Executions.
	PurgeExecutions(ctx context.Context, in *PurgeExecutionsRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Adds Events to the specified Execution. An Event indicates whether an
	// Artifact was used as an input or output for an Execution. If an Event
	// already exists between the Execution and the Artifact, the Event is
	// skipped.
	AddExecutionEvents(ctx context.Context, in *AddExecutionEventsRequest, opts ...grpc.CallOption) (*AddExecutionEventsResponse, error)
	// Obtains the set of input and output Artifacts for this Execution, in the
	// form of LineageSubgraph that also contains the Execution and connecting
	// Events.
	QueryExecutionInputsAndOutputs(ctx context.Context, in *QueryExecutionInputsAndOutputsRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
	// Creates a MetadataSchema.
	CreateMetadataSchema(ctx context.Context, in *CreateMetadataSchemaRequest, opts ...grpc.CallOption) (*MetadataSchema, error)
	// Retrieves a specific MetadataSchema.
	GetMetadataSchema(ctx context.Context, in *GetMetadataSchemaRequest, opts ...grpc.CallOption) (*MetadataSchema, error)
	// Lists MetadataSchemas.
	ListMetadataSchemas(ctx context.Context, in *ListMetadataSchemasRequest, opts ...grpc.CallOption) (*ListMetadataSchemasResponse, error)
	// Retrieves lineage of an Artifact represented through Artifacts and
	// Executions connected by Event edges and returned as a LineageSubgraph.
	QueryArtifactLineageSubgraph(ctx context.Context, in *QueryArtifactLineageSubgraphRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
}

MetadataServiceClient is the client API for MetadataService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewMetadataServiceClient

func NewMetadataServiceClient(cc grpc.ClientConnInterface) MetadataServiceClient

MetadataServiceServer

type MetadataServiceServer interface {
	// Initializes a MetadataStore, including allocation of resources.
	CreateMetadataStore(context.Context, *CreateMetadataStoreRequest) (*longrunningpb.Operation, error)
	// Retrieves a specific MetadataStore.
	GetMetadataStore(context.Context, *GetMetadataStoreRequest) (*MetadataStore, error)
	// Lists MetadataStores for a Location.
	ListMetadataStores(context.Context, *ListMetadataStoresRequest) (*ListMetadataStoresResponse, error)
	// Deletes a single MetadataStore and all its child resources (Artifacts,
	// Executions, and Contexts).
	DeleteMetadataStore(context.Context, *DeleteMetadataStoreRequest) (*longrunningpb.Operation, error)
	// Creates an Artifact associated with a MetadataStore.
	CreateArtifact(context.Context, *CreateArtifactRequest) (*Artifact, error)
	// Retrieves a specific Artifact.
	GetArtifact(context.Context, *GetArtifactRequest) (*Artifact, error)
	// Lists Artifacts in the MetadataStore.
	ListArtifacts(context.Context, *ListArtifactsRequest) (*ListArtifactsResponse, error)
	// Updates a stored Artifact.
	UpdateArtifact(context.Context, *UpdateArtifactRequest) (*Artifact, error)
	// Deletes an Artifact.
	DeleteArtifact(context.Context, *DeleteArtifactRequest) (*longrunningpb.Operation, error)
	// Purges Artifacts.
	PurgeArtifacts(context.Context, *PurgeArtifactsRequest) (*longrunningpb.Operation, error)
	// Creates a Context associated with a MetadataStore.
	CreateContext(context.Context, *CreateContextRequest) (*Context, error)
	// Retrieves a specific Context.
	GetContext(context.Context, *GetContextRequest) (*Context, error)
	// Lists Contexts on the MetadataStore.
	ListContexts(context.Context, *ListContextsRequest) (*ListContextsResponse, error)
	// Updates a stored Context.
	UpdateContext(context.Context, *UpdateContextRequest) (*Context, error)
	// Deletes a stored Context.
	DeleteContext(context.Context, *DeleteContextRequest) (*longrunningpb.Operation, error)
	// Purges Contexts.
	PurgeContexts(context.Context, *PurgeContextsRequest) (*longrunningpb.Operation, error)
	// Adds a set of Artifacts and Executions to a Context. If any of the
	// Artifacts or Executions have already been added to a Context, they are
	// simply skipped.
	AddContextArtifactsAndExecutions(context.Context, *AddContextArtifactsAndExecutionsRequest) (*AddContextArtifactsAndExecutionsResponse, error)
	// Adds a set of Contexts as children to a parent Context. If any of the
	// child Contexts have already been added to the parent Context, they are
	// simply skipped. If this call would create a cycle or cause any Context to
	// have more than 10 parents, the request will fail with an INVALID_ARGUMENT
	// error.
	AddContextChildren(context.Context, *AddContextChildrenRequest) (*AddContextChildrenResponse, error)
	// Remove a set of children contexts from a parent Context. If any of the
	// child Contexts were NOT added to the parent Context, they are
	// simply skipped.
	RemoveContextChildren(context.Context, *RemoveContextChildrenRequest) (*RemoveContextChildrenResponse, error)
	// Retrieves Artifacts and Executions within the specified Context, connected
	// by Event edges and returned as a LineageSubgraph.
	QueryContextLineageSubgraph(context.Context, *QueryContextLineageSubgraphRequest) (*LineageSubgraph, error)
	// Creates an Execution associated with a MetadataStore.
	CreateExecution(context.Context, *CreateExecutionRequest) (*Execution, error)
	// Retrieves a specific Execution.
	GetExecution(context.Context, *GetExecutionRequest) (*Execution, error)
	// Lists Executions in the MetadataStore.
	ListExecutions(context.Context, *ListExecutionsRequest) (*ListExecutionsResponse, error)
	// Updates a stored Execution.
	UpdateExecution(context.Context, *UpdateExecutionRequest) (*Execution, error)
	// Deletes an Execution.
	DeleteExecution(context.Context, *DeleteExecutionRequest) (*longrunningpb.Operation, error)
	// Purges Executions.
	PurgeExecutions(context.Context, *PurgeExecutionsRequest) (*longrunningpb.Operation, error)
	// Adds Events to the specified Execution. An Event indicates whether an
	// Artifact was used as an input or output for an Execution. If an Event
	// already exists between the Execution and the Artifact, the Event is
	// skipped.
	AddExecutionEvents(context.Context, *AddExecutionEventsRequest) (*AddExecutionEventsResponse, error)
	// Obtains the set of input and output Artifacts for this Execution, in the
	// form of LineageSubgraph that also contains the Execution and connecting
	// Events.
	QueryExecutionInputsAndOutputs(context.Context, *QueryExecutionInputsAndOutputsRequest) (*LineageSubgraph, error)
	// Creates a MetadataSchema.
	CreateMetadataSchema(context.Context, *CreateMetadataSchemaRequest) (*MetadataSchema, error)
	// Retrieves a specific MetadataSchema.
	GetMetadataSchema(context.Context, *GetMetadataSchemaRequest) (*MetadataSchema, error)
	// Lists MetadataSchemas.
	ListMetadataSchemas(context.Context, *ListMetadataSchemasRequest) (*ListMetadataSchemasResponse, error)
	// Retrieves lineage of an Artifact represented through Artifacts and
	// Executions connected by Event edges and returned as a LineageSubgraph.
	QueryArtifactLineageSubgraph(context.Context, *QueryArtifactLineageSubgraphRequest) (*LineageSubgraph, error)
}

MetadataServiceServer is the server API for MetadataService service.

MetadataStore

type MetadataStore struct {

	// Output only. The resource name of the MetadataStore instance.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this MetadataStore was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this MetadataStore was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Customer-managed encryption key spec for a Metadata Store. If set, this
	// Metadata Store and all sub-resources of this Metadata Store are secured
	// using this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,5,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Description of the MetadataStore.
	Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. State information of the MetadataStore.
	State *MetadataStore_MetadataStoreState `protobuf:"bytes,7,opt,name=state,proto3" json:"state,omitempty"`
	// contains filtered or unexported fields
}

Instance of a metadata store. Contains a set of metadata that can be queried.

func (*MetadataStore) Descriptor

func (*MetadataStore) Descriptor() ([]byte, []int)

Deprecated: Use MetadataStore.ProtoReflect.Descriptor instead.

func (*MetadataStore) GetCreateTime

func (x *MetadataStore) GetCreateTime() *timestamppb.Timestamp

func (*MetadataStore) GetDescription

func (x *MetadataStore) GetDescription() string

func (*MetadataStore) GetEncryptionSpec

func (x *MetadataStore) GetEncryptionSpec() *EncryptionSpec

func (*MetadataStore) GetName

func (x *MetadataStore) GetName() string

func (*MetadataStore) GetState

func (x *MetadataStore) GetState() *MetadataStore_MetadataStoreState

func (*MetadataStore) GetUpdateTime

func (x *MetadataStore) GetUpdateTime() *timestamppb.Timestamp

func (*MetadataStore) ProtoMessage

func (*MetadataStore) ProtoMessage()

func (*MetadataStore) ProtoReflect

func (x *MetadataStore) ProtoReflect() protoreflect.Message

func (*MetadataStore) Reset

func (x *MetadataStore) Reset()

func (*MetadataStore) String

func (x *MetadataStore) String() string

MetadataStore_MetadataStoreState

type MetadataStore_MetadataStoreState struct {

	// The disk utilization of the MetadataStore in bytes.
	DiskUtilizationBytes int64 `protobuf:"varint,1,opt,name=disk_utilization_bytes,json=diskUtilizationBytes,proto3" json:"disk_utilization_bytes,omitempty"`
	// contains filtered or unexported fields
}

Represents state information for a MetadataStore.

func (*MetadataStore_MetadataStoreState) Descriptor

func (*MetadataStore_MetadataStoreState) Descriptor() ([]byte, []int)

Deprecated: Use MetadataStore_MetadataStoreState.ProtoReflect.Descriptor instead.

func (*MetadataStore_MetadataStoreState) GetDiskUtilizationBytes

func (x *MetadataStore_MetadataStoreState) GetDiskUtilizationBytes() int64

func (*MetadataStore_MetadataStoreState) ProtoMessage

func (*MetadataStore_MetadataStoreState) ProtoMessage()

func (*MetadataStore_MetadataStoreState) ProtoReflect

func (x *MetadataStore_MetadataStoreState) ProtoReflect() protoreflect.Message

func (*MetadataStore_MetadataStoreState) Reset

func (x *MetadataStore_MetadataStoreState) Reset()

func (*MetadataStore_MetadataStoreState) String

func (x *MetadataStore_MetadataStoreState) String() string

MigratableResource

type MigratableResource struct {

	// Types that are assignable to Resource:
	//	*MigratableResource_MlEngineModelVersion_
	//	*MigratableResource_AutomlModel_
	//	*MigratableResource_AutomlDataset_
	//	*MigratableResource_DataLabelingDataset_
	Resource isMigratableResource_Resource `protobuf_oneof:"resource"`
	// Output only. Timestamp when the last migration attempt on this
	// MigratableResource started. Will not be set if there's no migration attempt
	// on this MigratableResource.
	LastMigrateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=last_migrate_time,json=lastMigrateTime,proto3" json:"last_migrate_time,omitempty"`
	// Output only. Timestamp when this MigratableResource was last updated.
	LastUpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=last_update_time,json=lastUpdateTime,proto3" json:"last_update_time,omitempty"`
	// contains filtered or unexported fields
}

Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.

func (*MigratableResource) Descriptor

func (*MigratableResource) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource.ProtoReflect.Descriptor instead.

func (*MigratableResource) GetAutomlDataset

func (x *MigratableResource) GetAutomlDataset() *MigratableResource_AutomlDataset

func (*MigratableResource) GetAutomlModel

func (x *MigratableResource) GetAutomlModel() *MigratableResource_AutomlModel

func (*MigratableResource) GetDataLabelingDataset

func (x *MigratableResource) GetDataLabelingDataset() *MigratableResource_DataLabelingDataset

func (*MigratableResource) GetLastMigrateTime

func (x *MigratableResource) GetLastMigrateTime() *timestamppb.Timestamp

func (*MigratableResource) GetLastUpdateTime

func (x *MigratableResource) GetLastUpdateTime() *timestamppb.Timestamp

func (*MigratableResource) GetMlEngineModelVersion

func (x *MigratableResource) GetMlEngineModelVersion() *MigratableResource_MlEngineModelVersion

func (*MigratableResource) GetResource

func (m *MigratableResource) GetResource() isMigratableResource_Resource

func (*MigratableResource) ProtoMessage

func (*MigratableResource) ProtoMessage()

func (*MigratableResource) ProtoReflect

func (x *MigratableResource) ProtoReflect() protoreflect.Message

func (*MigratableResource) Reset

func (x *MigratableResource) Reset()

func (*MigratableResource) String

func (x *MigratableResource) String() string

MigratableResource_AutomlDataset

type MigratableResource_AutomlDataset struct {

	// Full resource name of automl Dataset.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// The Dataset's display name in automl.googleapis.com.
	DatasetDisplayName string `protobuf:"bytes,4,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// contains filtered or unexported fields
}

Represents one Dataset in automl.googleapis.com.

func (*MigratableResource_AutomlDataset) Descriptor

func (*MigratableResource_AutomlDataset) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_AutomlDataset.ProtoReflect.Descriptor instead.

func (*MigratableResource_AutomlDataset) GetDataset

func (x *MigratableResource_AutomlDataset) GetDataset() string

func (*MigratableResource_AutomlDataset) GetDatasetDisplayName

func (x *MigratableResource_AutomlDataset) GetDatasetDisplayName() string

func (*MigratableResource_AutomlDataset) ProtoMessage

func (*MigratableResource_AutomlDataset) ProtoMessage()

func (*MigratableResource_AutomlDataset) ProtoReflect

func (x *MigratableResource_AutomlDataset) ProtoReflect() protoreflect.Message

func (*MigratableResource_AutomlDataset) Reset

func (x *MigratableResource_AutomlDataset) Reset()

func (*MigratableResource_AutomlDataset) String

func (x *MigratableResource_AutomlDataset) String() string

MigratableResource_AutomlDataset_

type MigratableResource_AutomlDataset_ struct {
	// Output only. Represents one Dataset in automl.googleapis.com.
	AutomlDataset *MigratableResource_AutomlDataset `protobuf:"bytes,3,opt,name=automl_dataset,json=automlDataset,proto3,oneof"`
}

MigratableResource_AutomlModel

type MigratableResource_AutomlModel struct {

	// Full resource name of automl Model.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}`.
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// The Model's display name in automl.googleapis.com.
	ModelDisplayName string `protobuf:"bytes,3,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// contains filtered or unexported fields
}

Represents one Model in automl.googleapis.com.

func (*MigratableResource_AutomlModel) Descriptor

func (*MigratableResource_AutomlModel) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_AutomlModel.ProtoReflect.Descriptor instead.

func (*MigratableResource_AutomlModel) GetModel

func (x *MigratableResource_AutomlModel) GetModel() string

func (*MigratableResource_AutomlModel) GetModelDisplayName

func (x *MigratableResource_AutomlModel) GetModelDisplayName() string

func (*MigratableResource_AutomlModel) ProtoMessage

func (*MigratableResource_AutomlModel) ProtoMessage()

func (*MigratableResource_AutomlModel) ProtoReflect

func (x *MigratableResource_AutomlModel) ProtoReflect() protoreflect.Message

func (*MigratableResource_AutomlModel) Reset

func (x *MigratableResource_AutomlModel) Reset()

func (*MigratableResource_AutomlModel) String

func (x *MigratableResource_AutomlModel) String() string

MigratableResource_AutomlModel_

type MigratableResource_AutomlModel_ struct {
	// Output only. Represents one Model in automl.googleapis.com.
	AutomlModel *MigratableResource_AutomlModel `protobuf:"bytes,2,opt,name=automl_model,json=automlModel,proto3,oneof"`
}

MigratableResource_DataLabelingDataset

type MigratableResource_DataLabelingDataset struct {
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`

	DatasetDisplayName string `protobuf:"bytes,4,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`

	DataLabelingAnnotatedDatasets []*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset "" /* 152 byte string literal not displayed */

}

Represents one Dataset in datalabeling.googleapis.com.

func (*MigratableResource_DataLabelingDataset) Descriptor

func (*MigratableResource_DataLabelingDataset) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_DataLabelingDataset.ProtoReflect.Descriptor instead.

func (*MigratableResource_DataLabelingDataset) GetDataLabelingAnnotatedDatasets

func (x *MigratableResource_DataLabelingDataset) GetDataLabelingAnnotatedDatasets() []*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset

func (*MigratableResource_DataLabelingDataset) GetDataset

func (x *MigratableResource_DataLabelingDataset) GetDataset() string

func (*MigratableResource_DataLabelingDataset) GetDatasetDisplayName

func (x *MigratableResource_DataLabelingDataset) GetDatasetDisplayName() string

func (*MigratableResource_DataLabelingDataset) ProtoMessage

func (*MigratableResource_DataLabelingDataset) ProtoMessage()

func (*MigratableResource_DataLabelingDataset) ProtoReflect

func (x *MigratableResource_DataLabelingDataset) ProtoReflect() protoreflect.Message

func (*MigratableResource_DataLabelingDataset) Reset

func (x *MigratableResource_DataLabelingDataset) Reset()

func (*MigratableResource_DataLabelingDataset) String

func (x *MigratableResource_DataLabelingDataset) String() string

MigratableResource_DataLabelingDataset_

type MigratableResource_DataLabelingDataset_ struct {
	// Output only. Represents one Dataset in datalabeling.googleapis.com.
	DataLabelingDataset *MigratableResource_DataLabelingDataset `protobuf:"bytes,4,opt,name=data_labeling_dataset,json=dataLabelingDataset,proto3,oneof"`
}

MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset

type MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset struct {
	AnnotatedDataset string `protobuf:"bytes,1,opt,name=annotated_dataset,json=annotatedDataset,proto3" json:"annotated_dataset,omitempty"`

	AnnotatedDatasetDisplayName string "" /* 146 byte string literal not displayed */

}

Represents one AnnotatedDataset in datalabeling.googleapis.com.

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Descriptor

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset.ProtoReflect.Descriptor instead.

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDataset

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDataset() string

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDatasetDisplayName

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDatasetDisplayName() string

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoMessage

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoMessage()

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoReflect

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoReflect() protoreflect.Message

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Reset

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Reset()

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) String

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) String() string

MigratableResource_MlEngineModelVersion

type MigratableResource_MlEngineModelVersion struct {

	// The ml.googleapis.com endpoint that this model Version currently lives
	// in.
	// Example values:
	//
	// * ml.googleapis.com
	// * us-centrall-ml.googleapis.com
	// * europe-west4-ml.googleapis.com
	// * asia-east1-ml.googleapis.com
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Full resource name of ml engine model Version.
	// Format: `projects/{project}/models/{model}/versions/{version}`.
	Version string `protobuf:"bytes,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Represents one model Version in ml.googleapis.com.

func (*MigratableResource_MlEngineModelVersion) Descriptor

func (*MigratableResource_MlEngineModelVersion) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_MlEngineModelVersion.ProtoReflect.Descriptor instead.

func (*MigratableResource_MlEngineModelVersion) GetEndpoint

func (x *MigratableResource_MlEngineModelVersion) GetEndpoint() string

func (*MigratableResource_MlEngineModelVersion) GetVersion

func (x *MigratableResource_MlEngineModelVersion) GetVersion() string

func (*MigratableResource_MlEngineModelVersion) ProtoMessage

func (*MigratableResource_MlEngineModelVersion) ProtoMessage()

func (*MigratableResource_MlEngineModelVersion) ProtoReflect

func (x *MigratableResource_MlEngineModelVersion) ProtoReflect() protoreflect.Message

func (*MigratableResource_MlEngineModelVersion) Reset

func (x *MigratableResource_MlEngineModelVersion) Reset()

func (*MigratableResource_MlEngineModelVersion) String

func (x *MigratableResource_MlEngineModelVersion) String() string

MigratableResource_MlEngineModelVersion_

type MigratableResource_MlEngineModelVersion_ struct {
	// Output only. Represents one Version in ml.googleapis.com.
	MlEngineModelVersion *MigratableResource_MlEngineModelVersion `protobuf:"bytes,1,opt,name=ml_engine_model_version,json=mlEngineModelVersion,proto3,oneof"`
}

MigrateResourceRequest

type MigrateResourceRequest struct {

	// Types that are assignable to Request:
	//	*MigrateResourceRequest_MigrateMlEngineModelVersionConfig_
	//	*MigrateResourceRequest_MigrateAutomlModelConfig_
	//	*MigrateResourceRequest_MigrateAutomlDatasetConfig_
	//	*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_
	Request isMigrateResourceRequest_Request `protobuf_oneof:"request"`
	// contains filtered or unexported fields
}

Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.

func (*MigrateResourceRequest) Descriptor

func (*MigrateResourceRequest) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest) GetMigrateAutomlDatasetConfig

func (x *MigrateResourceRequest) GetMigrateAutomlDatasetConfig() *MigrateResourceRequest_MigrateAutomlDatasetConfig

func (*MigrateResourceRequest) GetMigrateAutomlModelConfig

func (x *MigrateResourceRequest) GetMigrateAutomlModelConfig() *MigrateResourceRequest_MigrateAutomlModelConfig

func (*MigrateResourceRequest) GetMigrateDataLabelingDatasetConfig

func (x *MigrateResourceRequest) GetMigrateDataLabelingDatasetConfig() *MigrateResourceRequest_MigrateDataLabelingDatasetConfig

func (*MigrateResourceRequest) GetMigrateMlEngineModelVersionConfig

func (x *MigrateResourceRequest) GetMigrateMlEngineModelVersionConfig() *MigrateResourceRequest_MigrateMlEngineModelVersionConfig

func (*MigrateResourceRequest) GetRequest

func (m *MigrateResourceRequest) GetRequest() isMigrateResourceRequest_Request

func (*MigrateResourceRequest) ProtoMessage

func (*MigrateResourceRequest) ProtoMessage()

func (*MigrateResourceRequest) ProtoReflect

func (x *MigrateResourceRequest) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest) Reset

func (x *MigrateResourceRequest) Reset()

func (*MigrateResourceRequest) String

func (x *MigrateResourceRequest) String() string

MigrateResourceRequest_MigrateAutomlDatasetConfig

type MigrateResourceRequest_MigrateAutomlDatasetConfig struct {

	// Required. Full resource name of automl Dataset.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Required. Display name of the Dataset in Vertex AI.
	// System will pick a display name if unspecified.
	DatasetDisplayName string `protobuf:"bytes,2,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Descriptor

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateAutomlDatasetConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDataset

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDataset() string

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDatasetDisplayName

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDatasetDisplayName() string

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoMessage

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoReflect

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Reset

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) Reset()

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) String

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) String() string

MigrateResourceRequest_MigrateAutomlDatasetConfig_

type MigrateResourceRequest_MigrateAutomlDatasetConfig_ struct {
	// Config for migrating Dataset in automl.googleapis.com to Vertex AI's
	// Dataset.
	MigrateAutomlDatasetConfig *MigrateResourceRequest_MigrateAutomlDatasetConfig `protobuf:"bytes,3,opt,name=migrate_automl_dataset_config,json=migrateAutomlDatasetConfig,proto3,oneof"`
}

MigrateResourceRequest_MigrateAutomlModelConfig

type MigrateResourceRequest_MigrateAutomlModelConfig struct {

	// Required. Full resource name of automl Model.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}`.
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Optional. Display name of the model in Vertex AI.
	// System will pick a display name if unspecified.
	ModelDisplayName string `protobuf:"bytes,2,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating Model in automl.googleapis.com to Vertex AI's Model.

func (*MigrateResourceRequest_MigrateAutomlModelConfig) Descriptor

func (*MigrateResourceRequest_MigrateAutomlModelConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateAutomlModelConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateAutomlModelConfig) GetModel

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) GetModel() string

func (*MigrateResourceRequest_MigrateAutomlModelConfig) GetModelDisplayName

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) GetModelDisplayName() string

func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoMessage

func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoReflect

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateAutomlModelConfig) Reset

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) Reset()

func (*MigrateResourceRequest_MigrateAutomlModelConfig) String

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) String() string

MigrateResourceRequest_MigrateAutomlModelConfig_

type MigrateResourceRequest_MigrateAutomlModelConfig_ struct {
	// Config for migrating Model in automl.googleapis.com to Vertex AI's
	// Model.
	MigrateAutomlModelConfig *MigrateResourceRequest_MigrateAutomlModelConfig `protobuf:"bytes,2,opt,name=migrate_automl_model_config,json=migrateAutomlModelConfig,proto3,oneof"`
}

MigrateResourceRequest_MigrateDataLabelingDatasetConfig

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig struct {
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`

	DatasetDisplayName string `protobuf:"bytes,2,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`

	MigrateDataLabelingAnnotatedDatasetConfigs []*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig "" /* 195 byte string literal not displayed */

}

Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Descriptor

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateDataLabelingDatasetConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDataset

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDataset() string

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDatasetDisplayName

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDatasetDisplayName() string

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetMigrateDataLabelingAnnotatedDatasetConfigs

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetMigrateDataLabelingAnnotatedDatasetConfigs() []*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoMessage

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoReflect

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Reset

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Reset()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) String

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) String() string

MigrateResourceRequest_MigrateDataLabelingDatasetConfig_

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_ struct {
	// Config for migrating Dataset in datalabeling.googleapis.com to
	// Vertex AI's Dataset.
	MigrateDataLabelingDatasetConfig *MigrateResourceRequest_MigrateDataLabelingDatasetConfig `protobuf:"bytes,4,opt,name=migrate_data_labeling_dataset_config,json=migrateDataLabelingDatasetConfig,proto3,oneof"`
}

MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig struct {

	// Required. Full resource name of data labeling AnnotatedDataset.
	// Format:
	// `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
	AnnotatedDataset string `protobuf:"bytes,1,opt,name=annotated_dataset,json=annotatedDataset,proto3" json:"annotated_dataset,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Descriptor

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) GetAnnotatedDataset

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) GetAnnotatedDataset() string

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoMessage

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoReflect

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Reset

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Reset()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) String

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) String() string

MigrateResourceRequest_MigrateMlEngineModelVersionConfig

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig struct {

	// Required. The ml.googleapis.com endpoint that this model version should
	// be migrated from. Example values:
	//
	// * ml.googleapis.com
	//
	// * us-centrall-ml.googleapis.com
	//
	// * europe-west4-ml.googleapis.com
	//
	// * asia-east1-ml.googleapis.com
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. Full resource name of ml engine model version.
	// Format: `projects/{project}/models/{model}/versions/{version}`.
	ModelVersion string `protobuf:"bytes,2,opt,name=model_version,json=modelVersion,proto3" json:"model_version,omitempty"`
	// Required. Display name of the model in Vertex AI.
	// System will pick a display name if unspecified.
	ModelDisplayName string `protobuf:"bytes,3,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating version in ml.googleapis.com to Vertex AI's Model.

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Descriptor

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateMlEngineModelVersionConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetEndpoint

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetEndpoint() string

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelDisplayName

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelDisplayName() string

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelVersion

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelVersion() string

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoMessage

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoReflect

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Reset

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Reset()

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) String

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) String() string

MigrateResourceRequest_MigrateMlEngineModelVersionConfig_

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig_ struct {
	// Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
	MigrateMlEngineModelVersionConfig *MigrateResourceRequest_MigrateMlEngineModelVersionConfig `protobuf:"bytes,1,opt,name=migrate_ml_engine_model_version_config,json=migrateMlEngineModelVersionConfig,proto3,oneof"`
}

MigrateResourceResponse

type MigrateResourceResponse struct {

	// After migration, the resource name in Vertex AI.
	//
	// Types that are assignable to MigratedResource:
	//	*MigrateResourceResponse_Dataset
	//	*MigrateResourceResponse_Model
	MigratedResource isMigrateResourceResponse_MigratedResource `protobuf_oneof:"migrated_resource"`
	// Before migration, the identifier in ml.googleapis.com,
	// automl.googleapis.com or datalabeling.googleapis.com.
	MigratableResource *MigratableResource `protobuf:"bytes,3,opt,name=migratable_resource,json=migratableResource,proto3" json:"migratable_resource,omitempty"`
	// contains filtered or unexported fields
}

Describes a successfully migrated resource.

func (*MigrateResourceResponse) Descriptor

func (*MigrateResourceResponse) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceResponse.ProtoReflect.Descriptor instead.

func (*MigrateResourceResponse) GetDataset

func (x *MigrateResourceResponse) GetDataset() string

func (*MigrateResourceResponse) GetMigratableResource

func (x *MigrateResourceResponse) GetMigratableResource() *MigratableResource

func (*MigrateResourceResponse) GetMigratedResource

func (m *MigrateResourceResponse) GetMigratedResource() isMigrateResourceResponse_MigratedResource

func (*MigrateResourceResponse) GetModel

func (x *MigrateResourceResponse) GetModel() string

func (*MigrateResourceResponse) ProtoMessage

func (*MigrateResourceResponse) ProtoMessage()

func (*MigrateResourceResponse) ProtoReflect

func (x *MigrateResourceResponse) ProtoReflect() protoreflect.Message

func (*MigrateResourceResponse) Reset

func (x *MigrateResourceResponse) Reset()

func (*MigrateResourceResponse) String

func (x *MigrateResourceResponse) String() string

MigrateResourceResponse_Dataset

type MigrateResourceResponse_Dataset struct {
	// Migrated Dataset's resource name.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3,oneof"`
}

MigrateResourceResponse_Model

type MigrateResourceResponse_Model struct {
	// Migrated Model's resource name.
	Model string `protobuf:"bytes,2,opt,name=model,proto3,oneof"`
}

MigrationServiceClient

type MigrationServiceClient interface {
	// Searches all of the resources in automl.googleapis.com,
	// datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
	// Vertex AI's given location.
	SearchMigratableResources(ctx context.Context, in *SearchMigratableResourcesRequest, opts ...grpc.CallOption) (*SearchMigratableResourcesResponse, error)
	// Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
	// and datalabeling.googleapis.com to Vertex AI.
	BatchMigrateResources(ctx context.Context, in *BatchMigrateResourcesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

MigrationServiceClient is the client API for MigrationService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewMigrationServiceClient

func NewMigrationServiceClient(cc grpc.ClientConnInterface) MigrationServiceClient

MigrationServiceServer

type MigrationServiceServer interface {
	// Searches all of the resources in automl.googleapis.com,
	// datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
	// Vertex AI's given location.
	SearchMigratableResources(context.Context, *SearchMigratableResourcesRequest) (*SearchMigratableResourcesResponse, error)
	// Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
	// and datalabeling.googleapis.com to Vertex AI.
	BatchMigrateResources(context.Context, *BatchMigrateResourcesRequest) (*longrunningpb.Operation, error)
}

MigrationServiceServer is the server API for MigrationService service.

Model

type Model struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	VersionId string `protobuf:"bytes,28,opt,name=version_id,json=versionId,proto3" json:"version_id,omitempty"`

	VersionAliases []string `protobuf:"bytes,29,rep,name=version_aliases,json=versionAliases,proto3" json:"version_aliases,omitempty"`

	VersionCreateTime *timestamppb.Timestamp `protobuf:"bytes,31,opt,name=version_create_time,json=versionCreateTime,proto3" json:"version_create_time,omitempty"`

	VersionUpdateTime *timestamppb.Timestamp `protobuf:"bytes,32,opt,name=version_update_time,json=versionUpdateTime,proto3" json:"version_update_time,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`

	VersionDescription string `protobuf:"bytes,30,opt,name=version_description,json=versionDescription,proto3" json:"version_description,omitempty"`

	PredictSchemata *PredictSchemata `protobuf:"bytes,4,opt,name=predict_schemata,json=predictSchemata,proto3" json:"predict_schemata,omitempty"`

	MetadataSchemaUri string `protobuf:"bytes,5,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`

	Metadata *structpb.Value `protobuf:"bytes,6,opt,name=metadata,proto3" json:"metadata,omitempty"`

	SupportedExportFormats []*Model_ExportFormat "" /* 130 byte string literal not displayed */

	TrainingPipeline string `protobuf:"bytes,7,opt,name=training_pipeline,json=trainingPipeline,proto3" json:"training_pipeline,omitempty"`

	ContainerSpec *ModelContainerSpec `protobuf:"bytes,9,opt,name=container_spec,json=containerSpec,proto3" json:"container_spec,omitempty"`

	ArtifactUri string `protobuf:"bytes,26,opt,name=artifact_uri,json=artifactUri,proto3" json:"artifact_uri,omitempty"`

	SupportedDeploymentResourcesTypes []Model_DeploymentResourcesType "" /* 235 byte string literal not displayed */

	SupportedInputStorageFormats []string "" /* 150 byte string literal not displayed */

	SupportedOutputStorageFormats []string "" /* 153 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	DeployedModels []*DeployedModelRef `protobuf:"bytes,15,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"`

	ExplanationSpec *ExplanationSpec `protobuf:"bytes,23,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`

	Etag string `protobuf:"bytes,16,opt,name=etag,proto3" json:"etag,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,24,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

	ModelSourceInfo *ModelSourceInfo `protobuf:"bytes,38,opt,name=model_source_info,json=modelSourceInfo,proto3" json:"model_source_info,omitempty"`

	OriginalModelInfo *Model_OriginalModelInfo `protobuf:"bytes,34,opt,name=original_model_info,json=originalModelInfo,proto3" json:"original_model_info,omitempty"`

	MetadataArtifact string `protobuf:"bytes,44,opt,name=metadata_artifact,json=metadataArtifact,proto3" json:"metadata_artifact,omitempty"`

}

A trained machine learning Model.

func (*Model) Descriptor

func (*Model) Descriptor() ([]byte, []int)

Deprecated: Use Model.ProtoReflect.Descriptor instead.

func (*Model) GetArtifactUri

func (x *Model) GetArtifactUri() string

func (*Model) GetContainerSpec

func (x *Model) GetContainerSpec() *ModelContainerSpec

func (*Model) GetCreateTime

func (x *Model) GetCreateTime() *timestamppb.Timestamp

func (*Model) GetDeployedModels

func (x *Model) GetDeployedModels() []*DeployedModelRef

func (*Model) GetDescription

func (x *Model) GetDescription() string

func (*Model) GetDisplayName

func (x *Model) GetDisplayName() string

func (*Model) GetEncryptionSpec

func (x *Model) GetEncryptionSpec() *EncryptionSpec

func (*Model) GetEtag

func (x *Model) GetEtag() string

func (*Model) GetExplanationSpec

func (x *Model) GetExplanationSpec() *ExplanationSpec

func (*Model) GetLabels

func (x *Model) GetLabels() map[string]string

func (*Model) GetMetadata

func (x *Model) GetMetadata() *structpb.Value

func (*Model) GetMetadataArtifact

func (x *Model) GetMetadataArtifact() string

func (*Model) GetMetadataSchemaUri

func (x *Model) GetMetadataSchemaUri() string

func (*Model) GetModelSourceInfo

func (x *Model) GetModelSourceInfo() *ModelSourceInfo

func (*Model) GetName

func (x *Model) GetName() string

func (*Model) GetOriginalModelInfo

func (x *Model) GetOriginalModelInfo() *Model_OriginalModelInfo

func (*Model) GetPredictSchemata

func (x *Model) GetPredictSchemata() *PredictSchemata

func (*Model) GetSupportedDeploymentResourcesTypes

func (x *Model) GetSupportedDeploymentResourcesTypes() []Model_DeploymentResourcesType

func (*Model) GetSupportedExportFormats

func (x *Model) GetSupportedExportFormats() []*Model_ExportFormat

func (*Model) GetSupportedInputStorageFormats

func (x *Model) GetSupportedInputStorageFormats() []string

func (*Model) GetSupportedOutputStorageFormats

func (x *Model) GetSupportedOutputStorageFormats() []string

func (*Model) GetTrainingPipeline

func (x *Model) GetTrainingPipeline() string

func (*Model) GetUpdateTime

func (x *Model) GetUpdateTime() *timestamppb.Timestamp

func (*Model) GetVersionAliases

func (x *Model) GetVersionAliases() []string

func (*Model) GetVersionCreateTime

func (x *Model) GetVersionCreateTime() *timestamppb.Timestamp

func (*Model) GetVersionDescription

func (x *Model) GetVersionDescription() string

func (*Model) GetVersionId

func (x *Model) GetVersionId() string

func (*Model) GetVersionUpdateTime

func (x *Model) GetVersionUpdateTime() *timestamppb.Timestamp

func (*Model) ProtoMessage

func (*Model) ProtoMessage()

func (*Model) ProtoReflect

func (x *Model) ProtoReflect() protoreflect.Message

func (*Model) Reset

func (x *Model) Reset()

func (*Model) String

func (x *Model) String() string

ModelContainerSpec

type ModelContainerSpec struct {

	// Required. Immutable. URI of the Docker image to be used as the custom
	// container for serving predictions. This URI must identify an image in
	// Artifact Registry or Container Registry. Learn more about the [container
	// publishing
	// requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
	// including permissions requirements for the Vertex AI Service Agent.
	//
	// The container image is ingested upon
	// [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
	// stored internally, and this original path is afterwards not used.
	//
	// To learn about the requirements for the Docker image itself, see
	// [Custom container
	// requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
	//
	// You can use the URI to one of Vertex AI's [pre-built container images for
	// prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers)
	// in this field.
	ImageUri string `protobuf:"bytes,1,opt,name=image_uri,json=imageUri,proto3" json:"image_uri,omitempty"`
	// Immutable. Specifies the command that runs when the container starts. This
	// overrides the container's
	// [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
	// Specify this field as an array of executable and arguments, similar to a
	// Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
	//
	// If you do not specify this field, then the container's `ENTRYPOINT` runs,
	// in conjunction with the
	// [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the
	// container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
	// if either exists. If this field is not specified and the container does not
	// have an `ENTRYPOINT`, then refer to the Docker documentation about [how
	// `CMD` and `ENTRYPOINT`
	// interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
	//
	// If you specify this field, then you can also specify the `args` field to
	// provide additional arguments for this command. However, if you specify this
	// field, then the container's `CMD` is ignored. See the
	// [Kubernetes documentation about how the
	// `command` and `args` fields interact with a container's `ENTRYPOINT` and
	// `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
	//
	// In this field, you can reference [environment variables set by Vertex
	// AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
	// and environment variables set in the
	// [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
	// reference environment variables set in the Docker image. In order for
	// environment variables to be expanded, reference them by using the following
	// syntax: $(VARIABLE_NAME) Note that this differs
	// from Bash variable expansion, which does not use parentheses. If a variable
	// cannot be resolved, the reference in the input string is used unchanged. To
	// avoid variable expansion, you can escape this syntax with `$$`; for
	// example: $$(VARIABLE_NAME) This field corresponds
	// to the `command` field of the Kubernetes Containers [v1 core
	// API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
	Command []string `protobuf:"bytes,2,rep,name=command,proto3" json:"command,omitempty"`
	// Immutable. Specifies arguments for the command that runs when the container
	// starts. This overrides the container's
	// [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
	// this field as an array of executable and arguments, similar to a Docker
	// `CMD`'s "default parameters" form.
	//
	// If you don't specify this field but do specify the
	// [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field,
	// then the command from the `command` field runs without any additional
	// arguments. See the [Kubernetes documentation about how the `command` and
	// `args` fields interact with a container's `ENTRYPOINT` and
	// `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
	//
	// If you don't specify this field and don't specify the `command` field,
	// then the container's
	// [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
	// `CMD` determine what runs based on their default behavior. See the Docker
	// documentation about [how `CMD` and `ENTRYPOINT`
	// interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
	//
	// In this field, you can reference [environment variables
	// set by Vertex
	// AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
	// and environment variables set in the
	// [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot
	// reference environment variables set in the Docker image. In order for
	// environment variables to be expanded, reference them by using the following
	// syntax: $(VARIABLE_NAME) Note that this differs
	// from Bash variable expansion, which does not use parentheses. If a variable
	// cannot be resolved, the reference in the input string is used unchanged. To
	// avoid variable expansion, you can escape this syntax with `$$`; for
	// example: $$(VARIABLE_NAME) This field corresponds
	// to the `args` field of the Kubernetes Containers [v1 core
	// API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
	Args []string `protobuf:"bytes,3,rep,name=args,proto3" json:"args,omitempty"`
	// Immutable. List of environment variables to set in the container. After the
	// container starts running, code running in the container can read these
	// environment variables.
	//
	// Additionally, the
	// [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and
	// [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can
	// reference these variables. Later entries in this list can also reference
	// earlier entries. For example, the following example sets the variable
	// `VAR_2` to have the value `foo bar`:
	//
	// ```json
	// [
	//   {
	//     "name": "VAR_1",
	//     "value": "foo"
	//   },
	//   {
	//     "name": "VAR_2",
	//     "value": "$(VAR_1) bar"
	//   }
	// ]
	// ```
	//
	// If you switch the order of the variables in the example, then the expansion
	// does not occur.
	//
	// This field corresponds to the `env` field of the Kubernetes Containers
	// [v1 core
	// API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
	Env []*EnvVar `protobuf:"bytes,4,rep,name=env,proto3" json:"env,omitempty"`
	// Immutable. List of ports to expose from the container. Vertex AI sends any
	// prediction requests that it receives to the first port on this list. Vertex
	// AI also sends
	// [liveness and health
	// checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness)
	// to this port.
	//
	// If you do not specify this field, it defaults to following value:
	//
	// ```json
	// [
	//   {
	//     "containerPort": 8080
	//   }
	// ]
	// ```
	//
	// Vertex AI does not use ports other than the first one listed. This field
	// corresponds to the `ports` field of the Kubernetes Containers
	// [v1 core
	// API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
	Ports []*Port `protobuf:"bytes,5,rep,name=ports,proto3" json:"ports,omitempty"`
	// Immutable. HTTP path on the container to send prediction requests to.
	// Vertex AI forwards requests sent using
	// [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict]
	// to this path on the container's IP address and port. Vertex AI then returns
	// the container's response in the API response.
	//
	// For example, if you set this field to `/foo`, then when Vertex AI
	// receives a prediction request, it forwards the request body in a POST
	// request to the `/foo` path on the port of your container specified by the
	// first value of this `ModelContainerSpec`'s
	// [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
	//
	// If you don't specify this field, it defaults to the following value when
	// you [deploy this Model to an
	// Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
	// /v1/endpoints/ENDPOINT/deployedModels/DEPLOYED_MODEL:predict
	// The placeholders in this value are replaced as follows:
	//
	// * ENDPOINT: The last segment (following `endpoints/`)of the
	//   Endpoint.name][] field of the Endpoint where this Model has been
	//   deployed. (Vertex AI makes this value available to your container code
	//   as the [`AIP_ENDPOINT_ID` environment
	//  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	//
	// * DEPLOYED_MODEL:
	// [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
	// `DeployedModel`.
	//   (Vertex AI makes this value available to your container code
	//   as the [`AIP_DEPLOYED_MODEL_ID` environment
	//   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	PredictRoute string `protobuf:"bytes,6,opt,name=predict_route,json=predictRoute,proto3" json:"predict_route,omitempty"`
	// Immutable. HTTP path on the container to send health checks to. Vertex AI
	// intermittently sends GET requests to this path on the container's IP
	// address and port to check that the container is healthy. Read more about
	// [health
	// checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health).
	//
	// For example, if you set this field to `/bar`, then Vertex AI
	// intermittently sends a GET request to the `/bar` path on the port of your
	// container specified by the first value of this `ModelContainerSpec`'s
	// [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field.
	//
	// If you don't specify this field, it defaults to the following value when
	// you [deploy this Model to an
	// Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]:
	// /v1/endpoints/ENDPOINT/deployedModels/DEPLOYED_MODEL:predict
	// The placeholders in this value are replaced as follows:
	//
	// * ENDPOINT: The last segment (following `endpoints/`)of the
	//   Endpoint.name][] field of the Endpoint where this Model has been
	//   deployed. (Vertex AI makes this value available to your container code
	//   as the [`AIP_ENDPOINT_ID` environment
	//   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	//
	// * DEPLOYED_MODEL:
	// [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the
	// `DeployedModel`.
	//   (Vertex AI makes this value available to your container code as the
	//   [`AIP_DEPLOYED_MODEL_ID` environment
	//   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	HealthRoute string `protobuf:"bytes,7,opt,name=health_route,json=healthRoute,proto3" json:"health_route,omitempty"`
	// contains filtered or unexported fields
}

Specification of a container for serving predictions. Some fields in this message correspond to fields in the Kubernetes Container v1 core specification.

func (*ModelContainerSpec) Descriptor

func (*ModelContainerSpec) Descriptor() ([]byte, []int)

Deprecated: Use ModelContainerSpec.ProtoReflect.Descriptor instead.

func (*ModelContainerSpec) GetArgs

func (x *ModelContainerSpec) GetArgs() []string

func (*ModelContainerSpec) GetCommand

func (x *ModelContainerSpec) GetCommand() []string

func (*ModelContainerSpec) GetEnv

func (x *ModelContainerSpec) GetEnv() []*EnvVar

func (*ModelContainerSpec) GetHealthRoute

func (x *ModelContainerSpec) GetHealthRoute() string

func (*ModelContainerSpec) GetImageUri

func (x *ModelContainerSpec) GetImageUri() string

func (*ModelContainerSpec) GetPorts

func (x *ModelContainerSpec) GetPorts() []*Port

func (*ModelContainerSpec) GetPredictRoute

func (x *ModelContainerSpec) GetPredictRoute() string

func (*ModelContainerSpec) ProtoMessage

func (*ModelContainerSpec) ProtoMessage()

func (*ModelContainerSpec) ProtoReflect

func (x *ModelContainerSpec) ProtoReflect() protoreflect.Message

func (*ModelContainerSpec) Reset

func (x *ModelContainerSpec) Reset()

func (*ModelContainerSpec) String

func (x *ModelContainerSpec) String() string

ModelDeploymentMonitoringBigQueryTable

type ModelDeploymentMonitoringBigQueryTable struct {
	LogSource ModelDeploymentMonitoringBigQueryTable_LogSource "" /* 170 byte string literal not displayed */

	LogType ModelDeploymentMonitoringBigQueryTable_LogType "" /* 162 byte string literal not displayed */

	BigqueryTablePath string `protobuf:"bytes,3,opt,name=bigquery_table_path,json=bigqueryTablePath,proto3" json:"bigquery_table_path,omitempty"`

}

ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.

func (*ModelDeploymentMonitoringBigQueryTable) Descriptor

func (*ModelDeploymentMonitoringBigQueryTable) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringBigQueryTable.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringBigQueryTable) GetBigqueryTablePath

func (x *ModelDeploymentMonitoringBigQueryTable) GetBigqueryTablePath() string

func (*ModelDeploymentMonitoringBigQueryTable) GetLogSource

func (x *ModelDeploymentMonitoringBigQueryTable) GetLogSource() ModelDeploymentMonitoringBigQueryTable_LogSource

func (*ModelDeploymentMonitoringBigQueryTable) GetLogType

func (x *ModelDeploymentMonitoringBigQueryTable) GetLogType() ModelDeploymentMonitoringBigQueryTable_LogType

func (*ModelDeploymentMonitoringBigQueryTable) ProtoMessage

func (*ModelDeploymentMonitoringBigQueryTable) ProtoMessage()

func (*ModelDeploymentMonitoringBigQueryTable) ProtoReflect

func (x *ModelDeploymentMonitoringBigQueryTable) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringBigQueryTable) Reset

func (x *ModelDeploymentMonitoringBigQueryTable) Reset()

func (*ModelDeploymentMonitoringBigQueryTable) String

func (x *ModelDeploymentMonitoringBigQueryTable) String() string

ModelDeploymentMonitoringBigQueryTable_LogSource

type ModelDeploymentMonitoringBigQueryTable_LogSource int32

Indicates where does the log come from.

ModelDeploymentMonitoringBigQueryTable_LOG_SOURCE_UNSPECIFIED, ModelDeploymentMonitoringBigQueryTable_TRAINING, ModelDeploymentMonitoringBigQueryTable_SERVING

const (
	// Unspecified source.
	ModelDeploymentMonitoringBigQueryTable_LOG_SOURCE_UNSPECIFIED ModelDeploymentMonitoringBigQueryTable_LogSource = 0
	// Logs coming from Training dataset.
	ModelDeploymentMonitoringBigQueryTable_TRAINING ModelDeploymentMonitoringBigQueryTable_LogSource = 1
	// Logs coming from Serving traffic.
	ModelDeploymentMonitoringBigQueryTable_SERVING ModelDeploymentMonitoringBigQueryTable_LogSource = 2
)

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Descriptor

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Enum

func (x ModelDeploymentMonitoringBigQueryTable_LogSource) Enum() *ModelDeploymentMonitoringBigQueryTable_LogSource

func (ModelDeploymentMonitoringBigQueryTable_LogSource) EnumDescriptor

func (ModelDeploymentMonitoringBigQueryTable_LogSource) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringBigQueryTable_LogSource.Descriptor instead.

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Number

func (x ModelDeploymentMonitoringBigQueryTable_LogSource) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringBigQueryTable_LogSource) String

func (x ModelDeploymentMonitoringBigQueryTable_LogSource) String() string

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Type

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Type() protoreflect.EnumType

ModelDeploymentMonitoringBigQueryTable_LogType

type ModelDeploymentMonitoringBigQueryTable_LogType int32

Indicates what type of traffic does the log belong to.

ModelDeploymentMonitoringBigQueryTable_LOG_TYPE_UNSPECIFIED, ModelDeploymentMonitoringBigQueryTable_PREDICT, ModelDeploymentMonitoringBigQueryTable_EXPLAIN

const (
	// Unspecified type.
	ModelDeploymentMonitoringBigQueryTable_LOG_TYPE_UNSPECIFIED ModelDeploymentMonitoringBigQueryTable_LogType = 0
	// Predict logs.
	ModelDeploymentMonitoringBigQueryTable_PREDICT ModelDeploymentMonitoringBigQueryTable_LogType = 1
	// Explain logs.
	ModelDeploymentMonitoringBigQueryTable_EXPLAIN ModelDeploymentMonitoringBigQueryTable_LogType = 2
)

func (ModelDeploymentMonitoringBigQueryTable_LogType) Descriptor

func (ModelDeploymentMonitoringBigQueryTable_LogType) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringBigQueryTable_LogType) Enum

func (x ModelDeploymentMonitoringBigQueryTable_LogType) Enum() *ModelDeploymentMonitoringBigQueryTable_LogType

func (ModelDeploymentMonitoringBigQueryTable_LogType) EnumDescriptor

func (ModelDeploymentMonitoringBigQueryTable_LogType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringBigQueryTable_LogType.Descriptor instead.

func (ModelDeploymentMonitoringBigQueryTable_LogType) Number

func (x ModelDeploymentMonitoringBigQueryTable_LogType) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringBigQueryTable_LogType) String

func (x ModelDeploymentMonitoringBigQueryTable_LogType) String() string

func (ModelDeploymentMonitoringBigQueryTable_LogType) Type

func (ModelDeploymentMonitoringBigQueryTable_LogType) Type() protoreflect.EnumType

ModelDeploymentMonitoringJob

type ModelDeploymentMonitoringJob struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Endpoint string `protobuf:"bytes,3,opt,name=endpoint,proto3" json:"endpoint,omitempty"`

	State JobState `protobuf:"varint,4,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`

	ScheduleState ModelDeploymentMonitoringJob_MonitoringScheduleState "" /* 186 byte string literal not displayed */

	LatestMonitoringPipelineMetadata *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata "" /* 162 byte string literal not displayed */

	ModelDeploymentMonitoringObjectiveConfigs []*ModelDeploymentMonitoringObjectiveConfig "" /* 190 byte string literal not displayed */

	ModelDeploymentMonitoringScheduleConfig *ModelDeploymentMonitoringScheduleConfig "" /* 184 byte string literal not displayed */

	LoggingSamplingStrategy *SamplingStrategy "" /* 132 byte string literal not displayed */

	ModelMonitoringAlertConfig *ModelMonitoringAlertConfig "" /* 144 byte string literal not displayed */

	PredictInstanceSchemaUri string "" /* 137 byte string literal not displayed */

	SamplePredictInstance *structpb.Value "" /* 127 byte string literal not displayed */

	AnalysisInstanceSchemaUri string "" /* 141 byte string literal not displayed */

	BigqueryTables []*ModelDeploymentMonitoringBigQueryTable `protobuf:"bytes,10,rep,name=bigquery_tables,json=bigqueryTables,proto3" json:"bigquery_tables,omitempty"`

	LogTtl *durationpb.Duration `protobuf:"bytes,17,opt,name=log_ttl,json=logTtl,proto3" json:"log_ttl,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	NextScheduleTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=next_schedule_time,json=nextScheduleTime,proto3" json:"next_schedule_time,omitempty"`

	StatsAnomaliesBaseDirectory *GcsDestination "" /* 147 byte string literal not displayed */

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,21,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

	EnableMonitoringPipelineLogs bool "" /* 151 byte string literal not displayed */

	Error *status.Status `protobuf:"bytes,23,opt,name=error,proto3" json:"error,omitempty"`

}

Represents a job that runs periodically to monitor the deployed models in an endpoint. It will analyze the logged training & prediction data to detect any abnormal behaviors.

func (*ModelDeploymentMonitoringJob) Descriptor

func (*ModelDeploymentMonitoringJob) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringJob.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringJob) GetAnalysisInstanceSchemaUri

func (x *ModelDeploymentMonitoringJob) GetAnalysisInstanceSchemaUri() string

func (*ModelDeploymentMonitoringJob) GetBigqueryTables

func (x *ModelDeploymentMonitoringJob) GetBigqueryTables() []*ModelDeploymentMonitoringBigQueryTable

func (*ModelDeploymentMonitoringJob) GetCreateTime

func (x *ModelDeploymentMonitoringJob) GetCreateTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob) GetDisplayName

func (x *ModelDeploymentMonitoringJob) GetDisplayName() string

func (*ModelDeploymentMonitoringJob) GetEnableMonitoringPipelineLogs

func (x *ModelDeploymentMonitoringJob) GetEnableMonitoringPipelineLogs() bool

func (*ModelDeploymentMonitoringJob) GetEncryptionSpec

func (x *ModelDeploymentMonitoringJob) GetEncryptionSpec() *EncryptionSpec

func (*ModelDeploymentMonitoringJob) GetEndpoint

func (x *ModelDeploymentMonitoringJob) GetEndpoint() string

func (*ModelDeploymentMonitoringJob) GetError

func (x *ModelDeploymentMonitoringJob) GetError() *status.Status

func (*ModelDeploymentMonitoringJob) GetLabels

func (x *ModelDeploymentMonitoringJob) GetLabels() map[string]string

func (*ModelDeploymentMonitoringJob) GetLatestMonitoringPipelineMetadata

func (x *ModelDeploymentMonitoringJob) GetLatestMonitoringPipelineMetadata() *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata

func (*ModelDeploymentMonitoringJob) GetLogTtl

func (x *ModelDeploymentMonitoringJob) GetLogTtl() *durationpb.Duration

func (*ModelDeploymentMonitoringJob) GetLoggingSamplingStrategy

func (x *ModelDeploymentMonitoringJob) GetLoggingSamplingStrategy() *SamplingStrategy

func (*ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringObjectiveConfigs

func (x *ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringObjectiveConfigs() []*ModelDeploymentMonitoringObjectiveConfig

func (*ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringScheduleConfig

func (x *ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringScheduleConfig() *ModelDeploymentMonitoringScheduleConfig

func (*ModelDeploymentMonitoringJob) GetModelMonitoringAlertConfig

func (x *ModelDeploymentMonitoringJob) GetModelMonitoringAlertConfig() *ModelMonitoringAlertConfig

func (*ModelDeploymentMonitoringJob) GetName

func (x *ModelDeploymentMonitoringJob) GetName() string

func (*ModelDeploymentMonitoringJob) GetNextScheduleTime

func (x *ModelDeploymentMonitoringJob) GetNextScheduleTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob) GetPredictInstanceSchemaUri

func (x *ModelDeploymentMonitoringJob) GetPredictInstanceSchemaUri() string

func (*ModelDeploymentMonitoringJob) GetSamplePredictInstance

func (x *ModelDeploymentMonitoringJob) GetSamplePredictInstance() *structpb.Value

func (*ModelDeploymentMonitoringJob) GetScheduleState

func (x *ModelDeploymentMonitoringJob) GetScheduleState() ModelDeploymentMonitoringJob_MonitoringScheduleState

func (*ModelDeploymentMonitoringJob) GetState

func (x *ModelDeploymentMonitoringJob) GetState() JobState

func (*ModelDeploymentMonitoringJob) GetStatsAnomaliesBaseDirectory

func (x *ModelDeploymentMonitoringJob) GetStatsAnomaliesBaseDirectory() *GcsDestination

func (*ModelDeploymentMonitoringJob) GetUpdateTime

func (x *ModelDeploymentMonitoringJob) GetUpdateTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob) ProtoMessage

func (*ModelDeploymentMonitoringJob) ProtoMessage()

func (*ModelDeploymentMonitoringJob) ProtoReflect

func (x *ModelDeploymentMonitoringJob) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringJob) Reset

func (x *ModelDeploymentMonitoringJob) Reset()

func (*ModelDeploymentMonitoringJob) String

func (x *ModelDeploymentMonitoringJob) String() string

ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata

type ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata struct {

	// The time that most recent monitoring pipelines that is related to this
	// run.
	RunTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=run_time,json=runTime,proto3" json:"run_time,omitempty"`
	// The status of the most recent monitoring pipeline.
	Status *status.Status `protobuf:"bytes,2,opt,name=status,proto3" json:"status,omitempty"`
	// contains filtered or unexported fields
}

All metadata of most recent monitoring pipelines.

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Descriptor

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetRunTime

func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetRunTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetStatus

func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetStatus() *status.Status

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoMessage

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoMessage()

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoReflect

func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Reset

func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Reset()

func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) String

func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) String() string

ModelDeploymentMonitoringJob_MonitoringScheduleState

type ModelDeploymentMonitoringJob_MonitoringScheduleState int32

The state to Specify the monitoring pipeline.

ModelDeploymentMonitoringJob_MONITORING_SCHEDULE_STATE_UNSPECIFIED, ModelDeploymentMonitoringJob_PENDING, ModelDeploymentMonitoringJob_OFFLINE, ModelDeploymentMonitoringJob_RUNNING

const (
	// Unspecified state.
	ModelDeploymentMonitoringJob_MONITORING_SCHEDULE_STATE_UNSPECIFIED ModelDeploymentMonitoringJob_MonitoringScheduleState = 0
	// The pipeline is picked up and wait to run.
	ModelDeploymentMonitoringJob_PENDING ModelDeploymentMonitoringJob_MonitoringScheduleState = 1
	// The pipeline is offline and will be scheduled for next run.
	ModelDeploymentMonitoringJob_OFFLINE ModelDeploymentMonitoringJob_MonitoringScheduleState = 2
	// The pipeline is running.
	ModelDeploymentMonitoringJob_RUNNING ModelDeploymentMonitoringJob_MonitoringScheduleState = 3
)

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Descriptor

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Enum

func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) Enum() *ModelDeploymentMonitoringJob_MonitoringScheduleState

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) EnumDescriptor

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringJob_MonitoringScheduleState.Descriptor instead.

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Number

func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) String

func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) String() string

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Type

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Type() protoreflect.EnumType

ModelDeploymentMonitoringObjectiveConfig

type ModelDeploymentMonitoringObjectiveConfig struct {

	// The DeployedModel ID of the objective config.
	DeployedModelId string `protobuf:"bytes,1,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// The objective config of for the modelmonitoring job of this deployed model.
	ObjectiveConfig *ModelMonitoringObjectiveConfig `protobuf:"bytes,2,opt,name=objective_config,json=objectiveConfig,proto3" json:"objective_config,omitempty"`
	// contains filtered or unexported fields
}

ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.

func (*ModelDeploymentMonitoringObjectiveConfig) Descriptor

func (*ModelDeploymentMonitoringObjectiveConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringObjectiveConfig.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringObjectiveConfig) GetDeployedModelId

func (x *ModelDeploymentMonitoringObjectiveConfig) GetDeployedModelId() string

func (*ModelDeploymentMonitoringObjectiveConfig) GetObjectiveConfig

func (x *ModelDeploymentMonitoringObjectiveConfig) GetObjectiveConfig() *ModelMonitoringObjectiveConfig

func (*ModelDeploymentMonitoringObjectiveConfig) ProtoMessage

func (*ModelDeploymentMonitoringObjectiveConfig) ProtoMessage()

func (*ModelDeploymentMonitoringObjectiveConfig) ProtoReflect

func (x *ModelDeploymentMonitoringObjectiveConfig) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringObjectiveConfig) Reset

func (x *ModelDeploymentMonitoringObjectiveConfig) Reset()

func (*ModelDeploymentMonitoringObjectiveConfig) String

func (x *ModelDeploymentMonitoringObjectiveConfig) String() string

ModelDeploymentMonitoringObjectiveType

type ModelDeploymentMonitoringObjectiveType int32

The Model Monitoring Objective types.

ModelDeploymentMonitoringObjectiveType_MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED, ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_SKEW, ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_DRIFT, ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_SKEW, ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_DRIFT

const (
	// Default value, should not be set.
	ModelDeploymentMonitoringObjectiveType_MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED ModelDeploymentMonitoringObjectiveType = 0
	// Raw feature values' stats to detect skew between Training-Prediction
	// datasets.
	ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_SKEW ModelDeploymentMonitoringObjectiveType = 1
	// Raw feature values' stats to detect drift between Serving-Prediction
	// datasets.
	ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_DRIFT ModelDeploymentMonitoringObjectiveType = 2
	// Feature attribution scores to detect skew between Training-Prediction
	// datasets.
	ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_SKEW ModelDeploymentMonitoringObjectiveType = 3
	// Feature attribution scores to detect skew between Prediction datasets
	// collected within different time windows.
	ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_DRIFT ModelDeploymentMonitoringObjectiveType = 4
)

func (ModelDeploymentMonitoringObjectiveType) Descriptor

func (ModelDeploymentMonitoringObjectiveType) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringObjectiveType) Enum

func (x ModelDeploymentMonitoringObjectiveType) Enum() *ModelDeploymentMonitoringObjectiveType

func (ModelDeploymentMonitoringObjectiveType) EnumDescriptor

func (ModelDeploymentMonitoringObjectiveType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringObjectiveType.Descriptor instead.

func (ModelDeploymentMonitoringObjectiveType) Number

func (x ModelDeploymentMonitoringObjectiveType) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringObjectiveType) String

func (x ModelDeploymentMonitoringObjectiveType) String() string

func (ModelDeploymentMonitoringObjectiveType) Type

func (ModelDeploymentMonitoringObjectiveType) Type() protoreflect.EnumType

ModelDeploymentMonitoringScheduleConfig

type ModelDeploymentMonitoringScheduleConfig struct {

	// Required. The model monitoring job scheduling interval. It will be rounded
	// up to next full hour. This defines how often the monitoring jobs are
	// triggered.
	MonitorInterval *durationpb.Duration `protobuf:"bytes,1,opt,name=monitor_interval,json=monitorInterval,proto3" json:"monitor_interval,omitempty"`
	// The time window of the prediction data being included in each prediction
	// dataset. This window specifies how long the data should be collected from
	// historical model results for each run. If not set,
	// [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
	// will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
	// the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
	// 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
	// monitoring statistics.
	MonitorWindow *durationpb.Duration `protobuf:"bytes,2,opt,name=monitor_window,json=monitorWindow,proto3" json:"monitor_window,omitempty"`
	// contains filtered or unexported fields
}

The config for scheduling monitoring job.

func (*ModelDeploymentMonitoringScheduleConfig) Descriptor

func (*ModelDeploymentMonitoringScheduleConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringScheduleConfig.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringScheduleConfig) GetMonitorInterval

func (x *ModelDeploymentMonitoringScheduleConfig) GetMonitorInterval() *durationpb.Duration

func (*ModelDeploymentMonitoringScheduleConfig) GetMonitorWindow

func (x *ModelDeploymentMonitoringScheduleConfig) GetMonitorWindow() *durationpb.Duration

func (*ModelDeploymentMonitoringScheduleConfig) ProtoMessage

func (*ModelDeploymentMonitoringScheduleConfig) ProtoMessage()

func (*ModelDeploymentMonitoringScheduleConfig) ProtoReflect

func (x *ModelDeploymentMonitoringScheduleConfig) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringScheduleConfig) Reset

func (x *ModelDeploymentMonitoringScheduleConfig) Reset()

func (*ModelDeploymentMonitoringScheduleConfig) String

func (x *ModelDeploymentMonitoringScheduleConfig) String() string

ModelEvaluation

type ModelEvaluation struct {

	// Output only. The resource name of the ModelEvaluation.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The display name of the ModelEvaluation.
	DisplayName string `protobuf:"bytes,10,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Points to a YAML file stored on Google Cloud Storage describing the
	// [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
	// ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	MetricsSchemaUri string `protobuf:"bytes,2,opt,name=metrics_schema_uri,json=metricsSchemaUri,proto3" json:"metrics_schema_uri,omitempty"`
	// Evaluation metrics of the Model. The schema of the metrics is stored in
	// [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
	Metrics *structpb.Value `protobuf:"bytes,3,opt,name=metrics,proto3" json:"metrics,omitempty"`
	// Output only. Timestamp when this ModelEvaluation was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
	// ModelEvaluationSlices. The dimensions can be used as the filter of the
	// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
	// request, in the form of `slice.dimension = 

A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.

func (*ModelEvaluation) Descriptor

func (*ModelEvaluation) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluation.ProtoReflect.Descriptor instead.

func (*ModelEvaluation) GetAnnotationSchemaUri

func (x *ModelEvaluation) GetAnnotationSchemaUri() string

func (*ModelEvaluation) GetCreateTime

func (x *ModelEvaluation) GetCreateTime() *timestamppb.Timestamp

func (*ModelEvaluation) GetDataItemSchemaUri

func (x *ModelEvaluation) GetDataItemSchemaUri() string

func (*ModelEvaluation) GetDisplayName

func (x *ModelEvaluation) GetDisplayName() string

func (*ModelEvaluation) GetExplanationSpecs

func (x *ModelEvaluation) GetExplanationSpecs() []*ModelEvaluation_ModelEvaluationExplanationSpec

func (*ModelEvaluation) GetMetadata

func (x *ModelEvaluation) GetMetadata() *structpb.Value

func (*ModelEvaluation) GetMetrics

func (x *ModelEvaluation) GetMetrics() *structpb.Value

func (*ModelEvaluation) GetMetricsSchemaUri

func (x *ModelEvaluation) GetMetricsSchemaUri() string

func (*ModelEvaluation) GetModelExplanation

func (x *ModelEvaluation) GetModelExplanation() *ModelExplanation

func (*ModelEvaluation) GetName

func (x *ModelEvaluation) GetName() string

func (*ModelEvaluation) GetSliceDimensions

func (x *ModelEvaluation) GetSliceDimensions() []string

func (*ModelEvaluation) ProtoMessage

func (*ModelEvaluation) ProtoMessage()

func (*ModelEvaluation) ProtoReflect

func (x *ModelEvaluation) ProtoReflect() protoreflect.Message

func (*ModelEvaluation) Reset

func (x *ModelEvaluation) Reset()

func (*ModelEvaluation) String

func (x *ModelEvaluation) String() string

ModelEvaluationSlice

type ModelEvaluationSlice struct {

	// Output only. The resource name of the ModelEvaluationSlice.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. The slice of the test data that is used to evaluate the Model.
	Slice *ModelEvaluationSlice_Slice `protobuf:"bytes,2,opt,name=slice,proto3" json:"slice,omitempty"`
	// Output only. Points to a YAML file stored on Google Cloud Storage
	// describing the
	// [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
	// ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	MetricsSchemaUri string `protobuf:"bytes,3,opt,name=metrics_schema_uri,json=metricsSchemaUri,proto3" json:"metrics_schema_uri,omitempty"`
	// Output only. Sliced evaluation metrics of the Model. The schema of the
	// metrics is stored in
	// [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
	Metrics *structpb.Value `protobuf:"bytes,4,opt,name=metrics,proto3" json:"metrics,omitempty"`
	// Output only. Timestamp when this ModelEvaluationSlice was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Aggregated explanation metrics for the Model's prediction
	// output over the data this ModelEvaluation uses. This field is populated
	// only if the Model is evaluated with explanations, and only for tabular
	// Models.
	ModelExplanation *ModelExplanation `protobuf:"bytes,6,opt,name=model_explanation,json=modelExplanation,proto3" json:"model_explanation,omitempty"`
	// contains filtered or unexported fields
}

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

func (*ModelEvaluationSlice) Descriptor

func (*ModelEvaluationSlice) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice) GetCreateTime

func (x *ModelEvaluationSlice) GetCreateTime() *timestamppb.Timestamp

func (*ModelEvaluationSlice) GetMetrics

func (x *ModelEvaluationSlice) GetMetrics() *structpb.Value

func (*ModelEvaluationSlice) GetMetricsSchemaUri

func (x *ModelEvaluationSlice) GetMetricsSchemaUri() string

func (*ModelEvaluationSlice) GetModelExplanation

func (x *ModelEvaluationSlice) GetModelExplanation() *ModelExplanation

func (*ModelEvaluationSlice) GetName

func (x *ModelEvaluationSlice) GetName() string

func (*ModelEvaluationSlice) GetSlice

func (x *ModelEvaluationSlice) GetSlice() *ModelEvaluationSlice_Slice

func (*ModelEvaluationSlice) ProtoMessage

func (*ModelEvaluationSlice) ProtoMessage()

func (*ModelEvaluationSlice) ProtoReflect

func (x *ModelEvaluationSlice) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice) Reset

func (x *ModelEvaluationSlice) Reset()

func (*ModelEvaluationSlice) String

func (x *ModelEvaluationSlice) String() string

ModelEvaluationSlice_Slice

type ModelEvaluationSlice_Slice struct {

	// Output only. The dimension of the slice.
	// Well-known dimensions are:
	//   * `annotationSpec`: This slice is on the test data that has either
	//     ground truth or prediction with
	//     [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
	//     equals to
	//     [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
	//   * `slice`: This slice is a user customized slice defined by its
	//     SliceSpec.
	Dimension string `protobuf:"bytes,1,opt,name=dimension,proto3" json:"dimension,omitempty"`
	// Output only. The value of the dimension in this slice.
	Value string `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// Output only. Specification for how the data was sliced.
	SliceSpec *ModelEvaluationSlice_Slice_SliceSpec `protobuf:"bytes,3,opt,name=slice_spec,json=sliceSpec,proto3" json:"slice_spec,omitempty"`
	// contains filtered or unexported fields
}

Definition of a slice.

func (*ModelEvaluationSlice_Slice) Descriptor

func (*ModelEvaluationSlice_Slice) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice) GetDimension

func (x *ModelEvaluationSlice_Slice) GetDimension() string

func (*ModelEvaluationSlice_Slice) GetSliceSpec

func (x *ModelEvaluationSlice_Slice) GetSliceSpec() *ModelEvaluationSlice_Slice_SliceSpec

func (*ModelEvaluationSlice_Slice) GetValue

func (x *ModelEvaluationSlice_Slice) GetValue() string

func (*ModelEvaluationSlice_Slice) ProtoMessage

func (*ModelEvaluationSlice_Slice) ProtoMessage()

func (*ModelEvaluationSlice_Slice) ProtoReflect

func (x *ModelEvaluationSlice_Slice) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice) Reset

func (x *ModelEvaluationSlice_Slice) Reset()

func (*ModelEvaluationSlice_Slice) String

func (x *ModelEvaluationSlice_Slice) String() string

ModelEvaluationSlice_Slice_SliceSpec

type ModelEvaluationSlice_Slice_SliceSpec struct {
	Configs map[string]*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig "" /* 155 byte string literal not displayed */

}

Specification for how the data should be sliced.

func (*ModelEvaluationSlice_Slice_SliceSpec) Descriptor

func (*ModelEvaluationSlice_Slice_SliceSpec) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice_SliceSpec.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice_SliceSpec) GetConfigs

func (x *ModelEvaluationSlice_Slice_SliceSpec) GetConfigs() map[string]*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig

func (*ModelEvaluationSlice_Slice_SliceSpec) ProtoMessage

func (*ModelEvaluationSlice_Slice_SliceSpec) ProtoMessage()

func (*ModelEvaluationSlice_Slice_SliceSpec) ProtoReflect

func (x *ModelEvaluationSlice_Slice_SliceSpec) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice_SliceSpec) Reset

func (x *ModelEvaluationSlice_Slice_SliceSpec) Reset()

func (*ModelEvaluationSlice_Slice_SliceSpec) String

func (x *ModelEvaluationSlice_Slice_SliceSpec) String() string

ModelEvaluationSlice_Slice_SliceSpec_Range

type ModelEvaluationSlice_Slice_SliceSpec_Range struct {

	// Inclusive low value for the range.
	Low float32 `protobuf:"fixed32,1,opt,name=low,proto3" json:"low,omitempty"`
	// Exclusive high value for the range.
	High float32 `protobuf:"fixed32,2,opt,name=high,proto3" json:"high,omitempty"`
	// contains filtered or unexported fields
}

A range of values for slice(s). low is inclusive, high is exclusive.

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) Descriptor

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice_SliceSpec_Range.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) GetHigh

func (x *ModelEvaluationSlice_Slice_SliceSpec_Range) GetHigh() float32

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) GetLow

func (x *ModelEvaluationSlice_Slice_SliceSpec_Range) GetLow() float32

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) ProtoMessage

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) ProtoMessage()

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) ProtoReflect

func (x *ModelEvaluationSlice_Slice_SliceSpec_Range) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) Reset

func (x *ModelEvaluationSlice_Slice_SliceSpec_Range) Reset()

func (*ModelEvaluationSlice_Slice_SliceSpec_Range) String

func (x *ModelEvaluationSlice_Slice_SliceSpec_Range) String() string

ModelEvaluationSlice_Slice_SliceSpec_SliceConfig

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig struct {

	// Types that are assignable to Kind:
	//	*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Value
	//	*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Range
	//	*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_AllValues
	Kind isModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Kind `protobuf_oneof:"kind"`
	// contains filtered or unexported fields
}

Specification message containing the config for this SliceSpec. When kind is selected as value and/or range, only a single slice will be computed. When all_values is present, a separate slice will be computed for each possible label/value for the corresponding key in config. Examples, with feature zip_code with values 12345, 23334, 88888 and feature country with values "US", "Canada", "Mexico" in the dataset:

Example 1:

{
  "zip_code": { "value": { "float_value": 12345.0 } }
}

A single slice for any data with zip_code 12345 in the dataset.

Example 2:

{
  "zip_code": { "range": { "low": 12345, "high": 20000 } }
}

A single slice containing data where the zip_codes between 12345 and 20000 For this example, data with the zip_code of 12345 will be in this slice.

Example 3:

{
  "zip_code": { "range": { "low": 10000, "high": 20000 } },
  "country": { "value": { "string_value": "US" } }
}

A single slice containing data where the zip_codes between 10000 and 20000 has the country "US". For this example, data with the zip_code of 12345 and country "US" will be in this slice.

Example 4:

{ "country": {"all_values": { "value": true } } }

Three slices are computed, one for each unique country in the dataset.

Example 5:

{
  "country": { "all_values": { "value": true } },
  "zip_code": { "value": { "float_value": 12345.0 } }
}

Three slices are computed, one for each unique country in the dataset where the zip_code is also 12345. For this example, data with zip_code 12345 and country "US" will be in one slice, zip_code 12345 and country "Canada" in another slice, and zip_code 12345 and country "Mexico" in another slice, totaling 3 slices.

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) Descriptor

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice_SliceSpec_SliceConfig.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetAllValues

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetAllValues() *wrapperspb.BoolValue

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetKind

func (m *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetKind() isModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Kind

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetRange

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetRange() *ModelEvaluationSlice_Slice_SliceSpec_Range

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetValue

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) GetValue() *ModelEvaluationSlice_Slice_SliceSpec_Value

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) ProtoMessage

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) ProtoMessage()

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) ProtoReflect

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) Reset

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) Reset()

func (*ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) String

func (x *ModelEvaluationSlice_Slice_SliceSpec_SliceConfig) String() string

ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_AllValues

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_AllValues struct {
	// If all_values is set to true, then all possible labels of the keyed
	// feature will have another slice computed.
	// Example: `{"all_values":{"value":true}}`
	AllValues *wrapperspb.BoolValue `protobuf:"bytes,3,opt,name=all_values,json=allValues,proto3,oneof"`
}

ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Range

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Range struct {
	// A range of values for a numerical feature.
	// Example: `{"range":{"low":10000.0,"high":50000.0}}`
	// will capture 12345 and 23334 in the slice.
	Range *ModelEvaluationSlice_Slice_SliceSpec_Range `protobuf:"bytes,2,opt,name=range,proto3,oneof"`
}

ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Value

type ModelEvaluationSlice_Slice_SliceSpec_SliceConfig_Value struct {
	// A unique specific value for a given feature.
	// Example: `{ "value": { "string_value": "12345" } }`
	Value *ModelEvaluationSlice_Slice_SliceSpec_Value `protobuf:"bytes,1,opt,name=value,proto3,oneof"`
}

ModelEvaluationSlice_Slice_SliceSpec_Value

type ModelEvaluationSlice_Slice_SliceSpec_Value struct {

	// Types that are assignable to Kind:
	//	*ModelEvaluationSlice_Slice_SliceSpec_Value_StringValue
	//	*ModelEvaluationSlice_Slice_SliceSpec_Value_FloatValue
	Kind isModelEvaluationSlice_Slice_SliceSpec_Value_Kind `protobuf_oneof:"kind"`
	// contains filtered or unexported fields
}

Single value that supports strings and floats.

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) Descriptor

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice_SliceSpec_Value.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) GetFloatValue

func (x *ModelEvaluationSlice_Slice_SliceSpec_Value) GetFloatValue() float32

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) GetKind

func (m *ModelEvaluationSlice_Slice_SliceSpec_Value) GetKind() isModelEvaluationSlice_Slice_SliceSpec_Value_Kind

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) GetStringValue

func (x *ModelEvaluationSlice_Slice_SliceSpec_Value) GetStringValue() string

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) ProtoMessage

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) ProtoMessage()

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) ProtoReflect

func (x *ModelEvaluationSlice_Slice_SliceSpec_Value) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) Reset

func (x *ModelEvaluationSlice_Slice_SliceSpec_Value) Reset()

func (*ModelEvaluationSlice_Slice_SliceSpec_Value) String

func (x *ModelEvaluationSlice_Slice_SliceSpec_Value) String() string

ModelEvaluationSlice_Slice_SliceSpec_Value_FloatValue

type ModelEvaluationSlice_Slice_SliceSpec_Value_FloatValue struct {
	// Float type.
	FloatValue float32 `protobuf:"fixed32,2,opt,name=float_value,json=floatValue,proto3,oneof"`
}

ModelEvaluationSlice_Slice_SliceSpec_Value_StringValue

type ModelEvaluationSlice_Slice_SliceSpec_Value_StringValue struct {
	// String type.
	StringValue string `protobuf:"bytes,1,opt,name=string_value,json=stringValue,proto3,oneof"`
}

ModelEvaluation_ModelEvaluationExplanationSpec

type ModelEvaluation_ModelEvaluationExplanationSpec struct {

	// Explanation type.
	//
	// For AutoML Image Classification models, possible values are:
	//
	//   * `image-integrated-gradients`
	//   * `image-xrai`
	ExplanationType string `protobuf:"bytes,1,opt,name=explanation_type,json=explanationType,proto3" json:"explanation_type,omitempty"`
	// Explanation spec details.
	ExplanationSpec *ExplanationSpec `protobuf:"bytes,2,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
	// contains filtered or unexported fields
}

func (*ModelEvaluation_ModelEvaluationExplanationSpec) Descriptor

func (*ModelEvaluation_ModelEvaluationExplanationSpec) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluation_ModelEvaluationExplanationSpec.ProtoReflect.Descriptor instead.

func (*ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationSpec

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationSpec() *ExplanationSpec

func (*ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationType

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationType() string

func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoMessage

func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoMessage()

func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoReflect

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) ProtoReflect() protoreflect.Message

func (*ModelEvaluation_ModelEvaluationExplanationSpec) Reset

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) Reset()

func (*ModelEvaluation_ModelEvaluationExplanationSpec) String

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) String() string

ModelExplanation

type ModelExplanation struct {

	// Output only. Aggregated attributions explaining the Model's prediction
	// outputs over the set of instances. The attributions are grouped by outputs.
	//
	// For Models that predict only one output, such as regression Models that
	// predict only one score, there is only one attibution that explains the
	// predicted output. For Models that predict multiple outputs, such as
	// multiclass Models that predict multiple classes, each element explains one
	// specific item.
	// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
	// can be used to identify which output this attribution is explaining.
	//
	// The
	// [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
	// [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
	// and
	// [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
	// fields are averaged over the test data.
	//
	// NOTE: Currently AutoML tabular classification Models produce only one
	// attribution, which averages attributions over all the classes it predicts.
	// [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
	// is not populated.
	MeanAttributions []*Attribution `protobuf:"bytes,1,rep,name=mean_attributions,json=meanAttributions,proto3" json:"mean_attributions,omitempty"`
	// contains filtered or unexported fields
}

Aggregated explanation metrics for a Model over a set of instances.

func (*ModelExplanation) Descriptor

func (*ModelExplanation) Descriptor() ([]byte, []int)

Deprecated: Use ModelExplanation.ProtoReflect.Descriptor instead.

func (*ModelExplanation) GetMeanAttributions

func (x *ModelExplanation) GetMeanAttributions() []*Attribution

func (*ModelExplanation) ProtoMessage

func (*ModelExplanation) ProtoMessage()

func (*ModelExplanation) ProtoReflect

func (x *ModelExplanation) ProtoReflect() protoreflect.Message

func (*ModelExplanation) Reset

func (x *ModelExplanation) Reset()

func (*ModelExplanation) String

func (x *ModelExplanation) String() string

ModelMonitoringAlertConfig

type ModelMonitoringAlertConfig struct {

	// Types that are assignable to Alert:
	//	*ModelMonitoringAlertConfig_EmailAlertConfig_
	Alert isModelMonitoringAlertConfig_Alert `protobuf_oneof:"alert"`
	// Dump the anomalies to Cloud Logging. The anomalies will be put to json
	// payload encoded from proto
	// [google.cloud.aiplatform.logging.ModelMonitoringAnomaliesLogEntry][].
	// This can be further sinked to Pub/Sub or any other services supported
	// by Cloud Logging.
	EnableLogging bool `protobuf:"varint,2,opt,name=enable_logging,json=enableLogging,proto3" json:"enable_logging,omitempty"`
	// contains filtered or unexported fields
}

func (*ModelMonitoringAlertConfig) Descriptor

func (*ModelMonitoringAlertConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringAlertConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringAlertConfig) GetAlert

func (m *ModelMonitoringAlertConfig) GetAlert() isModelMonitoringAlertConfig_Alert

func (*ModelMonitoringAlertConfig) GetEmailAlertConfig

func (x *ModelMonitoringAlertConfig) GetEmailAlertConfig() *ModelMonitoringAlertConfig_EmailAlertConfig

func (*ModelMonitoringAlertConfig) GetEnableLogging

func (x *ModelMonitoringAlertConfig) GetEnableLogging() bool

func (*ModelMonitoringAlertConfig) ProtoMessage

func (*ModelMonitoringAlertConfig) ProtoMessage()

func (*ModelMonitoringAlertConfig) ProtoReflect

func (x *ModelMonitoringAlertConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringAlertConfig) Reset

func (x *ModelMonitoringAlertConfig) Reset()

func (*ModelMonitoringAlertConfig) String

func (x *ModelMonitoringAlertConfig) String() string

ModelMonitoringAlertConfig_EmailAlertConfig

type ModelMonitoringAlertConfig_EmailAlertConfig struct {

	// The email addresses to send the alert.
	UserEmails []string `protobuf:"bytes,1,rep,name=user_emails,json=userEmails,proto3" json:"user_emails,omitempty"`
	// contains filtered or unexported fields
}

The config for email alert.

func (*ModelMonitoringAlertConfig_EmailAlertConfig) Descriptor

func (*ModelMonitoringAlertConfig_EmailAlertConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringAlertConfig_EmailAlertConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringAlertConfig_EmailAlertConfig) GetUserEmails

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) GetUserEmails() []string

func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoMessage

func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoMessage()

func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoReflect

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringAlertConfig_EmailAlertConfig) Reset

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) Reset()

func (*ModelMonitoringAlertConfig_EmailAlertConfig) String

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) String() string

ModelMonitoringAlertConfig_EmailAlertConfig_

type ModelMonitoringAlertConfig_EmailAlertConfig_ struct {
	// Email alert config.
	EmailAlertConfig *ModelMonitoringAlertConfig_EmailAlertConfig `protobuf:"bytes,1,opt,name=email_alert_config,json=emailAlertConfig,proto3,oneof"`
}

ModelMonitoringObjectiveConfig

type ModelMonitoringObjectiveConfig struct {
	TrainingDataset *ModelMonitoringObjectiveConfig_TrainingDataset `protobuf:"bytes,1,opt,name=training_dataset,json=trainingDataset,proto3" json:"training_dataset,omitempty"`

	TrainingPredictionSkewDetectionConfig *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig "" /* 178 byte string literal not displayed */

	PredictionDriftDetectionConfig *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig "" /* 155 byte string literal not displayed */

	ExplanationConfig *ModelMonitoringObjectiveConfig_ExplanationConfig `protobuf:"bytes,5,opt,name=explanation_config,json=explanationConfig,proto3" json:"explanation_config,omitempty"`

}

The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.

func (*ModelMonitoringObjectiveConfig) Descriptor

func (*ModelMonitoringObjectiveConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig) GetExplanationConfig

func (x *ModelMonitoringObjectiveConfig) GetExplanationConfig() *ModelMonitoringObjectiveConfig_ExplanationConfig

func (*ModelMonitoringObjectiveConfig) GetPredictionDriftDetectionConfig

func (x *ModelMonitoringObjectiveConfig) GetPredictionDriftDetectionConfig() *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig

func (*ModelMonitoringObjectiveConfig) GetTrainingDataset

func (x *ModelMonitoringObjectiveConfig) GetTrainingDataset() *ModelMonitoringObjectiveConfig_TrainingDataset

func (*ModelMonitoringObjectiveConfig) GetTrainingPredictionSkewDetectionConfig

func (x *ModelMonitoringObjectiveConfig) GetTrainingPredictionSkewDetectionConfig() *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig

func (*ModelMonitoringObjectiveConfig) ProtoMessage

func (*ModelMonitoringObjectiveConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig) ProtoReflect

func (x *ModelMonitoringObjectiveConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig) Reset

func (x *ModelMonitoringObjectiveConfig) Reset()

func (*ModelMonitoringObjectiveConfig) String

func (x *ModelMonitoringObjectiveConfig) String() string

ModelMonitoringObjectiveConfig_ExplanationConfig

type ModelMonitoringObjectiveConfig_ExplanationConfig struct {
	EnableFeatureAttributes bool "" /* 133 byte string literal not displayed */

	ExplanationBaseline *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline `protobuf:"bytes,2,opt,name=explanation_baseline,json=explanationBaseline,proto3" json:"explanation_baseline,omitempty"`

}

The config for integrating with Vertex Explainable AI. Only applicable if the Model has explanation_spec populated.

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) Descriptor

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_ExplanationConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) GetEnableFeatureAttributes

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) GetEnableFeatureAttributes() bool

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) GetExplanationBaseline

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) GetExplanationBaseline() *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoMessage

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoReflect

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) Reset

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) Reset()

func (*ModelMonitoringObjectiveConfig_ExplanationConfig) String

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) String() string

ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline struct {
	Destination isModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Destination `protobuf_oneof:"destination"`

	PredictionFormat ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat "" /* 228 byte string literal not displayed */

}

Output from [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Descriptor

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetBigquery

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetBigquery() *BigQueryDestination

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetDestination

func (m *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetDestination() isModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Destination

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetGcs

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetGcs() *GcsDestination

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetPredictionFormat

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetPredictionFormat() ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoMessage

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoReflect

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Reset

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Reset()

func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) String

func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) String() string

ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Bigquery

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Bigquery struct {
	// BigQuery location for BatchExplain output.
	Bigquery *BigQueryDestination `protobuf:"bytes,3,opt,name=bigquery,proto3,oneof"`
}

ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Gcs

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Gcs struct {
	// Cloud Storage location for BatchExplain output.
	Gcs *GcsDestination `protobuf:"bytes,2,opt,name=gcs,proto3,oneof"`
}

ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat

type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat int32

The storage format of the predictions generated BatchPrediction job.

ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PREDICTION_FORMAT_UNSPECIFIED, ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_JSONL, ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_BIGQUERY

const (
	// Should not be set.
	ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PREDICTION_FORMAT_UNSPECIFIED ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 0
	// Predictions are in JSONL files.
	ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_JSONL ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 2
	// Predictions are in BigQuery.
	ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_BIGQUERY ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 3
)

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Descriptor

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Descriptor() protoreflect.EnumDescriptor

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Enum

func (x ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Enum() *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) EnumDescriptor

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat.Descriptor instead.

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Number

func (x ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Number() protoreflect.EnumNumber

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) String

func (x ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) String() string

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Type

func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Type() protoreflect.EnumType

ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig

type ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig struct {
	DriftThresholds map[string]*ThresholdConfig "" /* 194 byte string literal not displayed */

	AttributionScoreDriftThresholds map[string]*ThresholdConfig "" /* 246 byte string literal not displayed */

	DefaultDriftThreshold *ThresholdConfig `protobuf:"bytes,5,opt,name=default_drift_threshold,json=defaultDriftThreshold,proto3" json:"default_drift_threshold,omitempty"`

}

The config for Prediction data drift detection.

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Descriptor

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetAttributionScoreDriftThresholds

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetAttributionScoreDriftThresholds() map[string]*ThresholdConfig

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDefaultDriftThreshold

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDefaultDriftThreshold() *ThresholdConfig

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDriftThresholds

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDriftThresholds() map[string]*ThresholdConfig

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoMessage

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoReflect

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Reset

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Reset()

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) String

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) String() string

ModelMonitoringObjectiveConfig_TrainingDataset

type ModelMonitoringObjectiveConfig_TrainingDataset struct {
	DataSource isModelMonitoringObjectiveConfig_TrainingDataset_DataSource `protobuf_oneof:"data_source"`

	DataFormat string `protobuf:"bytes,2,opt,name=data_format,json=dataFormat,proto3" json:"data_format,omitempty"`

	TargetField string `protobuf:"bytes,6,opt,name=target_field,json=targetField,proto3" json:"target_field,omitempty"`

	LoggingSamplingStrategy *SamplingStrategy "" /* 132 byte string literal not displayed */

}

Training Dataset information.

func (*ModelMonitoringObjectiveConfig_TrainingDataset) Descriptor

func (*ModelMonitoringObjectiveConfig_TrainingDataset) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_TrainingDataset.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetBigquerySource

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetBigquerySource() *BigQuerySource

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataFormat

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataFormat() string

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataSource

func (m *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataSource() isModelMonitoringObjectiveConfig_TrainingDataset_DataSource

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataset

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataset() string

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetGcsSource

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetGcsSource() *GcsSource

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetLoggingSamplingStrategy

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetLoggingSamplingStrategy() *SamplingStrategy

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetTargetField

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetTargetField() string

func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoMessage

func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoReflect

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_TrainingDataset) Reset

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) Reset()

func (*ModelMonitoringObjectiveConfig_TrainingDataset) String

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) String() string

ModelMonitoringObjectiveConfig_TrainingDataset_BigquerySource

type ModelMonitoringObjectiveConfig_TrainingDataset_BigquerySource struct {
	// The BigQuery table of the unmanaged Dataset used to train this
	// Model.
	BigquerySource *BigQuerySource `protobuf:"bytes,5,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}

ModelMonitoringObjectiveConfig_TrainingDataset_Dataset

type ModelMonitoringObjectiveConfig_TrainingDataset_Dataset struct {
	// The resource name of the Dataset used to train this Model.
	Dataset string `protobuf:"bytes,3,opt,name=dataset,proto3,oneof"`
}

ModelMonitoringObjectiveConfig_TrainingDataset_GcsSource

type ModelMonitoringObjectiveConfig_TrainingDataset_GcsSource struct {
	// The Google Cloud Storage uri of the unmanaged Dataset used to train
	// this Model.
	GcsSource *GcsSource `protobuf:"bytes,4,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig

type ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig struct {
	SkewThresholds map[string]*ThresholdConfig "" /* 191 byte string literal not displayed */

	AttributionScoreSkewThresholds map[string]*ThresholdConfig "" /* 243 byte string literal not displayed */

	DefaultSkewThreshold *ThresholdConfig `protobuf:"bytes,6,opt,name=default_skew_threshold,json=defaultSkewThreshold,proto3" json:"default_skew_threshold,omitempty"`

}

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Descriptor

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetAttributionScoreSkewThresholds

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetAttributionScoreSkewThresholds() map[string]*ThresholdConfig

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetDefaultSkewThreshold

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetDefaultSkewThreshold() *ThresholdConfig

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetSkewThresholds

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetSkewThresholds() map[string]*ThresholdConfig

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoMessage

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoReflect

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Reset

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Reset()

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) String

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) String() string

ModelMonitoringStatsAnomalies

type ModelMonitoringStatsAnomalies struct {
	Objective ModelDeploymentMonitoringObjectiveType "" /* 143 byte string literal not displayed */

	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`

	AnomalyCount int32 `protobuf:"varint,3,opt,name=anomaly_count,json=anomalyCount,proto3" json:"anomaly_count,omitempty"`

	FeatureStats []*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies `protobuf:"bytes,4,rep,name=feature_stats,json=featureStats,proto3" json:"feature_stats,omitempty"`

}

Statistics and anomalies generated by Model Monitoring.

func (*ModelMonitoringStatsAnomalies) Descriptor

func (*ModelMonitoringStatsAnomalies) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringStatsAnomalies.ProtoReflect.Descriptor instead.

func (*ModelMonitoringStatsAnomalies) GetAnomalyCount

func (x *ModelMonitoringStatsAnomalies) GetAnomalyCount() int32

func (*ModelMonitoringStatsAnomalies) GetDeployedModelId

func (x *ModelMonitoringStatsAnomalies) GetDeployedModelId() string

func (*ModelMonitoringStatsAnomalies) GetFeatureStats

func (x *ModelMonitoringStatsAnomalies) GetFeatureStats() []*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies

func (*ModelMonitoringStatsAnomalies) GetObjective

func (x *ModelMonitoringStatsAnomalies) GetObjective() ModelDeploymentMonitoringObjectiveType

func (*ModelMonitoringStatsAnomalies) ProtoMessage

func (*ModelMonitoringStatsAnomalies) ProtoMessage()

func (*ModelMonitoringStatsAnomalies) ProtoReflect

func (x *ModelMonitoringStatsAnomalies) ProtoReflect() protoreflect.Message

func (*ModelMonitoringStatsAnomalies) Reset

func (x *ModelMonitoringStatsAnomalies) Reset()

func (*ModelMonitoringStatsAnomalies) String

func (x *ModelMonitoringStatsAnomalies) String() string

ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies

type ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies struct {

	// Display Name of the Feature.
	FeatureDisplayName string `protobuf:"bytes,1,opt,name=feature_display_name,json=featureDisplayName,proto3" json:"feature_display_name,omitempty"`
	// Threshold for anomaly detection.
	Threshold *ThresholdConfig `protobuf:"bytes,3,opt,name=threshold,proto3" json:"threshold,omitempty"`
	// Stats calculated for the Training Dataset.
	TrainingStats *FeatureStatsAnomaly `protobuf:"bytes,4,opt,name=training_stats,json=trainingStats,proto3" json:"training_stats,omitempty"`
	// A list of historical stats generated by different time window's
	// Prediction Dataset.
	PredictionStats []*FeatureStatsAnomaly `protobuf:"bytes,5,rep,name=prediction_stats,json=predictionStats,proto3" json:"prediction_stats,omitempty"`
	// contains filtered or unexported fields
}

Historical Stats (and Anomalies) for a specific Feature.

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Descriptor

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies.ProtoReflect.Descriptor instead.

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetFeatureDisplayName

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetFeatureDisplayName() string

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetPredictionStats

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetPredictionStats() []*FeatureStatsAnomaly

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetThreshold

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetThreshold() *ThresholdConfig

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetTrainingStats

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetTrainingStats() *FeatureStatsAnomaly

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoMessage

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoMessage()

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoReflect

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoReflect() protoreflect.Message

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Reset

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Reset()

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) String

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) String() string

ModelServiceClient

type ModelServiceClient interface {
	// Uploads a Model artifact into Vertex AI.
	UploadModel(ctx context.Context, in *UploadModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a Model.
	GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error)
	// Lists Models in a Location.
	ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error)
	// Lists versions of the specified model.
	ListModelVersions(ctx context.Context, in *ListModelVersionsRequest, opts ...grpc.CallOption) (*ListModelVersionsResponse, error)
	// Updates a Model.
	UpdateModel(ctx context.Context, in *UpdateModelRequest, opts ...grpc.CallOption) (*Model, error)
	// Deletes a Model.
	//
	// A model cannot be deleted if any
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
	// model in its
	// [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
	// field.
	DeleteModel(ctx context.Context, in *DeleteModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a Model version.
	//
	// Model version can only be deleted if there are no
	// [DeployedModels][google.cloud.aiplatform.v1.DeployedModel] created from it.
	// Deleting the only version in the Model is not allowed. Use
	// [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for
	// deleting the Model instead.
	DeleteModelVersion(ctx context.Context, in *DeleteModelVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Merges a set of aliases for a Model version.
	MergeVersionAliases(ctx context.Context, in *MergeVersionAliasesRequest, opts ...grpc.CallOption) (*Model, error)
	// Exports a trained, exportable Model to a location specified by the
	// user. A Model is considered to be exportable if it has at least one
	// [supported export
	// format][google.cloud.aiplatform.v1.Model.supported_export_formats].
	ExportModel(ctx context.Context, in *ExportModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Copies an already existing Vertex AI Model into the specified Location.
	// The source Model must exist in the same Project.
	// When copying custom Models, the users themselves are responsible for
	// [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be
	// region-agnostic, as well as making sure that any resources (e.g. files) it
	// depends on remain accessible.
	CopyModel(ctx context.Context, in *CopyModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Imports an externally generated ModelEvaluation.
	ImportModelEvaluation(ctx context.Context, in *ImportModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error)
	// Imports a list of externally generated ModelEvaluationSlice.
	BatchImportModelEvaluationSlices(ctx context.Context, in *BatchImportModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*BatchImportModelEvaluationSlicesResponse, error)
	// Imports a list of externally generated EvaluatedAnnotations.
	BatchImportEvaluatedAnnotations(ctx context.Context, in *BatchImportEvaluatedAnnotationsRequest, opts ...grpc.CallOption) (*BatchImportEvaluatedAnnotationsResponse, error)
	// Gets a ModelEvaluation.
	GetModelEvaluation(ctx context.Context, in *GetModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error)
	// Lists ModelEvaluations in a Model.
	ListModelEvaluations(ctx context.Context, in *ListModelEvaluationsRequest, opts ...grpc.CallOption) (*ListModelEvaluationsResponse, error)
	// Gets a ModelEvaluationSlice.
	GetModelEvaluationSlice(ctx context.Context, in *GetModelEvaluationSliceRequest, opts ...grpc.CallOption) (*ModelEvaluationSlice, error)
	// Lists ModelEvaluationSlices in a ModelEvaluation.
	ListModelEvaluationSlices(ctx context.Context, in *ListModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*ListModelEvaluationSlicesResponse, error)
}

ModelServiceClient is the client API for ModelService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewModelServiceClient

func NewModelServiceClient(cc grpc.ClientConnInterface) ModelServiceClient

ModelServiceServer

type ModelServiceServer interface {
	// Uploads a Model artifact into Vertex AI.
	UploadModel(context.Context, *UploadModelRequest) (*longrunningpb.Operation, error)
	// Gets a Model.
	GetModel(context.Context, *GetModelRequest) (*Model, error)
	// Lists Models in a Location.
	ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)
	// Lists versions of the specified model.
	ListModelVersions(context.Context, *ListModelVersionsRequest) (*ListModelVersionsResponse, error)
	// Updates a Model.
	UpdateModel(context.Context, *UpdateModelRequest) (*Model, error)
	// Deletes a Model.
	//
	// A model cannot be deleted if any
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
	// model in its
	// [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
	// field.
	DeleteModel(context.Context, *DeleteModelRequest) (*longrunningpb.Operation, error)
	// Deletes a Model version.
	//
	// Model version can only be deleted if there are no
	// [DeployedModels][google.cloud.aiplatform.v1.DeployedModel] created from it.
	// Deleting the only version in the Model is not allowed. Use
	// [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for
	// deleting the Model instead.
	DeleteModelVersion(context.Context, *DeleteModelVersionRequest) (*longrunningpb.Operation, error)
	// Merges a set of aliases for a Model version.
	MergeVersionAliases(context.Context, *MergeVersionAliasesRequest) (*Model, error)
	// Exports a trained, exportable Model to a location specified by the
	// user. A Model is considered to be exportable if it has at least one
	// [supported export
	// format][google.cloud.aiplatform.v1.Model.supported_export_formats].
	ExportModel(context.Context, *ExportModelRequest) (*longrunningpb.Operation, error)
	// Copies an already existing Vertex AI Model into the specified Location.
	// The source Model must exist in the same Project.
	// When copying custom Models, the users themselves are responsible for
	// [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be
	// region-agnostic, as well as making sure that any resources (e.g. files) it
	// depends on remain accessible.
	CopyModel(context.Context, *CopyModelRequest) (*longrunningpb.Operation, error)
	// Imports an externally generated ModelEvaluation.
	ImportModelEvaluation(context.Context, *ImportModelEvaluationRequest) (*ModelEvaluation, error)
	// Imports a list of externally generated ModelEvaluationSlice.
	BatchImportModelEvaluationSlices(context.Context, *BatchImportModelEvaluationSlicesRequest) (*BatchImportModelEvaluationSlicesResponse, error)
	// Imports a list of externally generated EvaluatedAnnotations.
	BatchImportEvaluatedAnnotations(context.Context, *BatchImportEvaluatedAnnotationsRequest) (*BatchImportEvaluatedAnnotationsResponse, error)
	// Gets a ModelEvaluation.
	GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error)
	// Lists ModelEvaluations in a Model.
	ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error)
	// Gets a ModelEvaluationSlice.
	GetModelEvaluationSlice(context.Context, *GetModelEvaluationSliceRequest) (*ModelEvaluationSlice, error)
	// Lists ModelEvaluationSlices in a ModelEvaluation.
	ListModelEvaluationSlices(context.Context, *ListModelEvaluationSlicesRequest) (*ListModelEvaluationSlicesResponse, error)
}

ModelServiceServer is the server API for ModelService service.

ModelSourceInfo

type ModelSourceInfo struct {
	SourceType ModelSourceInfo_ModelSourceType "" /* 156 byte string literal not displayed */

	Copy bool `protobuf:"varint,2,opt,name=copy,proto3" json:"copy,omitempty"`

}

Detail description of the source information of the model.

func (*ModelSourceInfo) Descriptor

func (*ModelSourceInfo) Descriptor() ([]byte, []int)

Deprecated: Use ModelSourceInfo.ProtoReflect.Descriptor instead.

func (*ModelSourceInfo) GetCopy

func (x *ModelSourceInfo) GetCopy() bool

func (*ModelSourceInfo) GetSourceType

func (x *ModelSourceInfo) GetSourceType() ModelSourceInfo_ModelSourceType

func (*ModelSourceInfo) ProtoMessage

func (*ModelSourceInfo) ProtoMessage()

func (*ModelSourceInfo) ProtoReflect

func (x *ModelSourceInfo) ProtoReflect() protoreflect.Message

func (*ModelSourceInfo) Reset

func (x *ModelSourceInfo) Reset()

func (*ModelSourceInfo) String

func (x *ModelSourceInfo) String() string

ModelSourceInfo_ModelSourceType

type ModelSourceInfo_ModelSourceType int32

Source of the model.

ModelSourceInfo_MODEL_SOURCE_TYPE_UNSPECIFIED, ModelSourceInfo_AUTOML, ModelSourceInfo_CUSTOM, ModelSourceInfo_BQML, ModelSourceInfo_MODEL_GARDEN, ModelSourceInfo_GENIE

const (
	// Should not be used.
	ModelSourceInfo_MODEL_SOURCE_TYPE_UNSPECIFIED ModelSourceInfo_ModelSourceType = 0
	// The Model is uploaded by automl training pipeline.
	ModelSourceInfo_AUTOML ModelSourceInfo_ModelSourceType = 1
	// The Model is uploaded by user or custom training pipeline.
	ModelSourceInfo_CUSTOM ModelSourceInfo_ModelSourceType = 2
	// The Model is registered and sync'ed from BigQuery ML.
	ModelSourceInfo_BQML ModelSourceInfo_ModelSourceType = 3
	// The Model is saved or tuned from Model Garden.
	ModelSourceInfo_MODEL_GARDEN ModelSourceInfo_ModelSourceType = 4
	// The Model is saved or tuned from Genie.
	ModelSourceInfo_GENIE ModelSourceInfo_ModelSourceType = 5
)

func (ModelSourceInfo_ModelSourceType) Descriptor

func (ModelSourceInfo_ModelSourceType) Descriptor() protoreflect.EnumDescriptor

func (ModelSourceInfo_ModelSourceType) Enum

func (x ModelSourceInfo_ModelSourceType) Enum() *ModelSourceInfo_ModelSourceType

func (ModelSourceInfo_ModelSourceType) EnumDescriptor

func (ModelSourceInfo_ModelSourceType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelSourceInfo_ModelSourceType.Descriptor instead.

func (ModelSourceInfo_ModelSourceType) Number

func (x ModelSourceInfo_ModelSourceType) Number() protoreflect.EnumNumber

func (ModelSourceInfo_ModelSourceType) String

func (x ModelSourceInfo_ModelSourceType) String() string

func (ModelSourceInfo_ModelSourceType) Type

func (ModelSourceInfo_ModelSourceType) Type() protoreflect.EnumType

Model_DeploymentResourcesType

type Model_DeploymentResourcesType int32

Identifies a type of Model's prediction resources.

Model_DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED, Model_DEDICATED_RESOURCES, Model_AUTOMATIC_RESOURCES, Model_SHARED_RESOURCES

const (
	// Should not be used.
	Model_DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED Model_DeploymentResourcesType = 0
	// Resources that are dedicated to the
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need
	// a higher degree of manual configuration.
	Model_DEDICATED_RESOURCES Model_DeploymentResourcesType = 1
	// Resources that to large degree are decided by Vertex AI, and require
	// only a modest additional configuration.
	Model_AUTOMATIC_RESOURCES Model_DeploymentResourcesType = 2
	// Resources that can be shared by multiple
	// [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]. A
	// pre-configured [DeploymentResourcePool][] is required.
	Model_SHARED_RESOURCES Model_DeploymentResourcesType = 3
)

func (Model_DeploymentResourcesType) Descriptor

func (Model_DeploymentResourcesType) Descriptor() protoreflect.EnumDescriptor

func (Model_DeploymentResourcesType) Enum

func (x Model_DeploymentResourcesType) Enum() *Model_DeploymentResourcesType

func (Model_DeploymentResourcesType) EnumDescriptor

func (Model_DeploymentResourcesType) EnumDescriptor() ([]byte, []int)

Deprecated: Use Model_DeploymentResourcesType.Descriptor instead.

func (Model_DeploymentResourcesType) Number

func (x Model_DeploymentResourcesType) Number() protoreflect.EnumNumber

func (Model_DeploymentResourcesType) String

func (x Model_DeploymentResourcesType) String() string

func (Model_DeploymentResourcesType) Type

func (Model_DeploymentResourcesType) Type() protoreflect.EnumType

Model_ExportFormat

type Model_ExportFormat struct {
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`

	ExportableContents []Model_ExportFormat_ExportableContent "" /* 192 byte string literal not displayed */

}

Represents export format supported by the Model. All formats export to Google Cloud Storage.

func (*Model_ExportFormat) Descriptor

func (*Model_ExportFormat) Descriptor() ([]byte, []int)

Deprecated: Use Model_ExportFormat.ProtoReflect.Descriptor instead.

func (*Model_ExportFormat) GetExportableContents

func (x *Model_ExportFormat) GetExportableContents() []Model_ExportFormat_ExportableContent

func (*Model_ExportFormat) GetId

func (x *Model_ExportFormat) GetId() string

func (*Model_ExportFormat) ProtoMessage

func (*Model_ExportFormat) ProtoMessage()

func (*Model_ExportFormat) ProtoReflect

func (x *Model_ExportFormat) ProtoReflect() protoreflect.Message

func (*Model_ExportFormat) Reset

func (x *Model_ExportFormat) Reset()

func (*Model_ExportFormat) String

func (x *Model_ExportFormat) String() string

Model_ExportFormat_ExportableContent

type Model_ExportFormat_ExportableContent int32

The Model content that can be exported.

Model_ExportFormat_EXPORTABLE_CONTENT_UNSPECIFIED, Model_ExportFormat_ARTIFACT, Model_ExportFormat_IMAGE

const (
	// Should not be used.
	Model_ExportFormat_EXPORTABLE_CONTENT_UNSPECIFIED Model_ExportFormat_ExportableContent = 0
	// Model artifact and any of its supported files. Will be exported to the
	// location specified by the `artifactDestination` field of the
	// [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
	// object.
	Model_ExportFormat_ARTIFACT Model_ExportFormat_ExportableContent = 1
	// The container image that is to be used when deploying this Model. Will
	// be exported to the location specified by the `imageDestination` field
	// of the
	// [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
	// object.
	Model_ExportFormat_IMAGE Model_ExportFormat_ExportableContent = 2
)

func (Model_ExportFormat_ExportableContent) Descriptor

func (Model_ExportFormat_ExportableContent) Descriptor() protoreflect.EnumDescriptor

func (Model_ExportFormat_ExportableContent) Enum

func (x Model_ExportFormat_ExportableContent) Enum() *Model_ExportFormat_ExportableContent

func (Model_ExportFormat_ExportableContent) EnumDescriptor

func (Model_ExportFormat_ExportableContent) EnumDescriptor() ([]byte, []int)

Deprecated: Use Model_ExportFormat_ExportableContent.Descriptor instead.

func (Model_ExportFormat_ExportableContent) Number

func (x Model_ExportFormat_ExportableContent) Number() protoreflect.EnumNumber

func (Model_ExportFormat_ExportableContent) String

func (x Model_ExportFormat_ExportableContent) String() string

func (Model_ExportFormat_ExportableContent) Type

func (Model_ExportFormat_ExportableContent) Type() protoreflect.EnumType

Model_OriginalModelInfo

type Model_OriginalModelInfo struct {

	// Output only. The resource name of the Model this Model is a copy of,
	// including the revision. Format:
	// `projects/{project}/locations/{location}/models/{model_id}@{version_id}`
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// contains filtered or unexported fields
}

Contains information about the original Model if this Model is a copy.

func (*Model_OriginalModelInfo) Descriptor

func (*Model_OriginalModelInfo) Descriptor() ([]byte, []int)

Deprecated: Use Model_OriginalModelInfo.ProtoReflect.Descriptor instead.

func (*Model_OriginalModelInfo) GetModel

func (x *Model_OriginalModelInfo) GetModel() string

func (*Model_OriginalModelInfo) ProtoMessage

func (*Model_OriginalModelInfo) ProtoMessage()

func (*Model_OriginalModelInfo) ProtoReflect

func (x *Model_OriginalModelInfo) ProtoReflect() protoreflect.Message

func (*Model_OriginalModelInfo) Reset

func (x *Model_OriginalModelInfo) Reset()

func (*Model_OriginalModelInfo) String

func (x *Model_OriginalModelInfo) String() string

MutateDeployedIndexOperationMetadata

type MutateDeployedIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The unique index id specified by user
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].

func (*MutateDeployedIndexOperationMetadata) Descriptor

func (*MutateDeployedIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*MutateDeployedIndexOperationMetadata) GetDeployedIndexId

func (x *MutateDeployedIndexOperationMetadata) GetDeployedIndexId() string

func (*MutateDeployedIndexOperationMetadata) GetGenericMetadata

func (x *MutateDeployedIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*MutateDeployedIndexOperationMetadata) ProtoMessage

func (*MutateDeployedIndexOperationMetadata) ProtoMessage()

func (*MutateDeployedIndexOperationMetadata) ProtoReflect

func (x *MutateDeployedIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*MutateDeployedIndexOperationMetadata) Reset

func (x *MutateDeployedIndexOperationMetadata) Reset()

func (*MutateDeployedIndexOperationMetadata) String

func (x *MutateDeployedIndexOperationMetadata) String() string

MutateDeployedIndexRequest

type MutateDeployedIndexRequest struct {

	// Required. The name of the IndexEndpoint resource into which to deploy an
	// Index. Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The DeployedIndex to be updated within the IndexEndpoint.
	// Currently, the updatable fields are [DeployedIndex][automatic_resources]
	// and [DeployedIndex][dedicated_resources]
	DeployedIndex *DeployedIndex `protobuf:"bytes,2,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].

func (*MutateDeployedIndexRequest) Descriptor

func (*MutateDeployedIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedIndexRequest.ProtoReflect.Descriptor instead.

func (*MutateDeployedIndexRequest) GetDeployedIndex

func (x *MutateDeployedIndexRequest) GetDeployedIndex() *DeployedIndex

func (*MutateDeployedIndexRequest) GetIndexEndpoint

func (x *MutateDeployedIndexRequest) GetIndexEndpoint() string

func (*MutateDeployedIndexRequest) ProtoMessage

func (*MutateDeployedIndexRequest) ProtoMessage()

func (*MutateDeployedIndexRequest) ProtoReflect

func (x *MutateDeployedIndexRequest) ProtoReflect() protoreflect.Message

func (*MutateDeployedIndexRequest) Reset

func (x *MutateDeployedIndexRequest) Reset()

func (*MutateDeployedIndexRequest) String

func (x *MutateDeployedIndexRequest) String() string

MutateDeployedIndexResponse

type MutateDeployedIndexResponse struct {

	// The DeployedIndex that had been updated in the IndexEndpoint.
	DeployedIndex *DeployedIndex `protobuf:"bytes,1,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].

func (*MutateDeployedIndexResponse) Descriptor

func (*MutateDeployedIndexResponse) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedIndexResponse.ProtoReflect.Descriptor instead.

func (*MutateDeployedIndexResponse) GetDeployedIndex

func (x *MutateDeployedIndexResponse) GetDeployedIndex() *DeployedIndex

func (*MutateDeployedIndexResponse) ProtoMessage

func (*MutateDeployedIndexResponse) ProtoMessage()

func (*MutateDeployedIndexResponse) ProtoReflect

func (x *MutateDeployedIndexResponse) ProtoReflect() protoreflect.Message

func (*MutateDeployedIndexResponse) Reset

func (x *MutateDeployedIndexResponse) Reset()

func (*MutateDeployedIndexResponse) String

func (x *MutateDeployedIndexResponse) String() string

MutateDeployedModelOperationMetadata

type MutateDeployedModelOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].

func (*MutateDeployedModelOperationMetadata) Descriptor

func (*MutateDeployedModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*MutateDeployedModelOperationMetadata) GetGenericMetadata

func (x *MutateDeployedModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*MutateDeployedModelOperationMetadata) ProtoMessage

func (*MutateDeployedModelOperationMetadata) ProtoMessage()

func (*MutateDeployedModelOperationMetadata) ProtoReflect

func (x *MutateDeployedModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*MutateDeployedModelOperationMetadata) Reset

func (x *MutateDeployedModelOperationMetadata) Reset()

func (*MutateDeployedModelOperationMetadata) String

func (x *MutateDeployedModelOperationMetadata) String() string

MutateDeployedModelRequest

type MutateDeployedModelRequest struct {

	// Required. The name of the Endpoint resource into which to mutate a
	// DeployedModel. Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The DeployedModel to be mutated within the Endpoint. Only the
	// following fields can be mutated:
	//
	// * `min_replica_count` in either
	// [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] or
	// [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources]
	// * `max_replica_count` in either
	// [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] or
	// [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources]
	// * [autoscaling_metric_specs][google.cloud.aiplatform.v1.DedicatedResources.autoscaling_metric_specs]
	// * `disable_container_logging` (v1 only)
	// * `enable_container_logging` (v1beta1 only)
	DeployedModel *DeployedModel `protobuf:"bytes,2,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// Required. The update mask applies to the resource. See
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,4,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].

func (*MutateDeployedModelRequest) Descriptor

func (*MutateDeployedModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedModelRequest.ProtoReflect.Descriptor instead.

func (*MutateDeployedModelRequest) GetDeployedModel

func (x *MutateDeployedModelRequest) GetDeployedModel() *DeployedModel

func (*MutateDeployedModelRequest) GetEndpoint

func (x *MutateDeployedModelRequest) GetEndpoint() string

func (*MutateDeployedModelRequest) GetUpdateMask

func (x *MutateDeployedModelRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*MutateDeployedModelRequest) ProtoMessage

func (*MutateDeployedModelRequest) ProtoMessage()

func (*MutateDeployedModelRequest) ProtoReflect

func (x *MutateDeployedModelRequest) ProtoReflect() protoreflect.Message

func (*MutateDeployedModelRequest) Reset

func (x *MutateDeployedModelRequest) Reset()

func (*MutateDeployedModelRequest) String

func (x *MutateDeployedModelRequest) String() string

MutateDeployedModelResponse

type MutateDeployedModelResponse struct {

	// The DeployedModel that's being mutated.
	DeployedModel *DeployedModel `protobuf:"bytes,1,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// contains filtered or unexported fields
}

Response message for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].

func (*MutateDeployedModelResponse) Descriptor

func (*MutateDeployedModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use MutateDeployedModelResponse.ProtoReflect.Descriptor instead.

func (*MutateDeployedModelResponse) GetDeployedModel

func (x *MutateDeployedModelResponse) GetDeployedModel() *DeployedModel

func (*MutateDeployedModelResponse) ProtoMessage

func (*MutateDeployedModelResponse) ProtoMessage()

func (*MutateDeployedModelResponse) ProtoReflect

func (x *MutateDeployedModelResponse) ProtoReflect() protoreflect.Message

func (*MutateDeployedModelResponse) Reset

func (x *MutateDeployedModelResponse) Reset()

func (*MutateDeployedModelResponse) String

func (x *MutateDeployedModelResponse) String() string

NasJob

type NasJob struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	NasJobSpec *NasJobSpec `protobuf:"bytes,4,opt,name=nas_job_spec,json=nasJobSpec,proto3" json:"nas_job_spec,omitempty"`

	NasJobOutput *NasJobOutput `protobuf:"bytes,5,opt,name=nas_job_output,json=nasJobOutput,proto3" json:"nas_job_output,omitempty"`

	State JobState `protobuf:"varint,6,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	StartTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Error *status.Status `protobuf:"bytes,11,opt,name=error,proto3" json:"error,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,13,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

	EnableRestrictedImageTraining bool "" /* 154 byte string literal not displayed */

}

Represents a Neural Architecture Search (NAS) job.

func (*NasJob) Descriptor

func (*NasJob) Descriptor() ([]byte, []int)

Deprecated: Use NasJob.ProtoReflect.Descriptor instead.

func (*NasJob) GetCreateTime

func (x *NasJob) GetCreateTime() *timestamppb.Timestamp

func (*NasJob) GetDisplayName

func (x *NasJob) GetDisplayName() string

func (*NasJob) GetEnableRestrictedImageTraining

func (x *NasJob) GetEnableRestrictedImageTraining() bool

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/nas_job.proto.

func (*NasJob) GetEncryptionSpec

func (x *NasJob) GetEncryptionSpec() *EncryptionSpec

func (*NasJob) GetEndTime

func (x *NasJob) GetEndTime() *timestamppb.Timestamp

func (*NasJob) GetError

func (x *NasJob) GetError() *status.Status

func (*NasJob) GetLabels

func (x *NasJob) GetLabels() map[string]string

func (*NasJob) GetName

func (x *NasJob) GetName() string

func (*NasJob) GetNasJobOutput

func (x *NasJob) GetNasJobOutput() *NasJobOutput

func (*NasJob) GetNasJobSpec

func (x *NasJob) GetNasJobSpec() *NasJobSpec

func (*NasJob) GetStartTime

func (x *NasJob) GetStartTime() *timestamppb.Timestamp

func (*NasJob) GetState

func (x *NasJob) GetState() JobState

func (*NasJob) GetUpdateTime

func (x *NasJob) GetUpdateTime() *timestamppb.Timestamp

func (*NasJob) ProtoMessage

func (*NasJob) ProtoMessage()

func (*NasJob) ProtoReflect

func (x *NasJob) ProtoReflect() protoreflect.Message

func (*NasJob) Reset

func (x *NasJob) Reset()

func (*NasJob) String

func (x *NasJob) String() string

NasJobOutput

type NasJobOutput struct {

	// The output of this Neural Architecture Search (NAS) job.
	//
	// Types that are assignable to Output:
	//	*NasJobOutput_MultiTrialJobOutput_
	Output isNasJobOutput_Output `protobuf_oneof:"output"`
	// contains filtered or unexported fields
}

Represents a uCAIP NasJob output.

func (*NasJobOutput) Descriptor

func (*NasJobOutput) Descriptor() ([]byte, []int)

Deprecated: Use NasJobOutput.ProtoReflect.Descriptor instead.

func (*NasJobOutput) GetMultiTrialJobOutput

func (x *NasJobOutput) GetMultiTrialJobOutput() *NasJobOutput_MultiTrialJobOutput

func (*NasJobOutput) GetOutput

func (m *NasJobOutput) GetOutput() isNasJobOutput_Output

func (*NasJobOutput) ProtoMessage

func (*NasJobOutput) ProtoMessage()

func (*NasJobOutput) ProtoReflect

func (x *NasJobOutput) ProtoReflect() protoreflect.Message

func (*NasJobOutput) Reset

func (x *NasJobOutput) Reset()

func (*NasJobOutput) String

func (x *NasJobOutput) String() string

NasJobOutput_MultiTrialJobOutput

type NasJobOutput_MultiTrialJobOutput struct {

	// Output only. List of NasTrials that were started as part of search stage.
	SearchTrials []*NasTrial `protobuf:"bytes,1,rep,name=search_trials,json=searchTrials,proto3" json:"search_trials,omitempty"`
	// Output only. List of NasTrials that were started as part of train stage.
	TrainTrials []*NasTrial `protobuf:"bytes,2,rep,name=train_trials,json=trainTrials,proto3" json:"train_trials,omitempty"`
	// contains filtered or unexported fields
}

The output of a multi-trial Neural Architecture Search (NAS) jobs.

func (*NasJobOutput_MultiTrialJobOutput) Descriptor

func (*NasJobOutput_MultiTrialJobOutput) Descriptor() ([]byte, []int)

Deprecated: Use NasJobOutput_MultiTrialJobOutput.ProtoReflect.Descriptor instead.

func (*NasJobOutput_MultiTrialJobOutput) GetSearchTrials

func (x *NasJobOutput_MultiTrialJobOutput) GetSearchTrials() []*NasTrial

func (*NasJobOutput_MultiTrialJobOutput) GetTrainTrials

func (x *NasJobOutput_MultiTrialJobOutput) GetTrainTrials() []*NasTrial

func (*NasJobOutput_MultiTrialJobOutput) ProtoMessage

func (*NasJobOutput_MultiTrialJobOutput) ProtoMessage()

func (*NasJobOutput_MultiTrialJobOutput) ProtoReflect

func (x *NasJobOutput_MultiTrialJobOutput) ProtoReflect() protoreflect.Message

func (*NasJobOutput_MultiTrialJobOutput) Reset

func (x *NasJobOutput_MultiTrialJobOutput) Reset()

func (*NasJobOutput_MultiTrialJobOutput) String

func (x *NasJobOutput_MultiTrialJobOutput) String() string

NasJobOutput_MultiTrialJobOutput_

type NasJobOutput_MultiTrialJobOutput_ struct {
	// Output only. The output of this multi-trial Neural Architecture Search
	// (NAS) job.
	MultiTrialJobOutput *NasJobOutput_MultiTrialJobOutput `protobuf:"bytes,1,opt,name=multi_trial_job_output,json=multiTrialJobOutput,proto3,oneof"`
}

NasJobSpec

type NasJobSpec struct {

	// The Neural Architecture Search (NAS) algorithm specification.
	//
	// Types that are assignable to NasAlgorithmSpec:
	//	*NasJobSpec_MultiTrialAlgorithmSpec_
	NasAlgorithmSpec isNasJobSpec_NasAlgorithmSpec `protobuf_oneof:"nas_algorithm_spec"`
	// The ID of the existing NasJob in the same Project and Location
	// which will be used to resume search. search_space_spec and
	// nas_algorithm_spec are obtained from previous NasJob hence should not
	// provide them again for this NasJob.
	ResumeNasJobId string `protobuf:"bytes,3,opt,name=resume_nas_job_id,json=resumeNasJobId,proto3" json:"resume_nas_job_id,omitempty"`
	// It defines the search space for Neural Architecture Search (NAS).
	SearchSpaceSpec string `protobuf:"bytes,1,opt,name=search_space_spec,json=searchSpaceSpec,proto3" json:"search_space_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of a NasJob.

func (*NasJobSpec) Descriptor

func (*NasJobSpec) Descriptor() ([]byte, []int)

Deprecated: Use NasJobSpec.ProtoReflect.Descriptor instead.

func (*NasJobSpec) GetMultiTrialAlgorithmSpec

func (x *NasJobSpec) GetMultiTrialAlgorithmSpec() *NasJobSpec_MultiTrialAlgorithmSpec

func (*NasJobSpec) GetNasAlgorithmSpec

func (m *NasJobSpec) GetNasAlgorithmSpec() isNasJobSpec_NasAlgorithmSpec

func (*NasJobSpec) GetResumeNasJobId

func (x *NasJobSpec) GetResumeNasJobId() string

func (*NasJobSpec) GetSearchSpaceSpec

func (x *NasJobSpec) GetSearchSpaceSpec() string

func (*NasJobSpec) ProtoMessage

func (*NasJobSpec) ProtoMessage()

func (*NasJobSpec) ProtoReflect

func (x *NasJobSpec) ProtoReflect() protoreflect.Message

func (*NasJobSpec) Reset

func (x *NasJobSpec) Reset()

func (*NasJobSpec) String

func (x *NasJobSpec) String() string

NasJobSpec_MultiTrialAlgorithmSpec

type NasJobSpec_MultiTrialAlgorithmSpec struct {
	MultiTrialAlgorithm NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm "" /* 208 byte string literal not displayed */

	Metric *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec `protobuf:"bytes,2,opt,name=metric,proto3" json:"metric,omitempty"`

	SearchTrialSpec *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec `protobuf:"bytes,3,opt,name=search_trial_spec,json=searchTrialSpec,proto3" json:"search_trial_spec,omitempty"`

	TrainTrialSpec *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec `protobuf:"bytes,4,opt,name=train_trial_spec,json=trainTrialSpec,proto3" json:"train_trial_spec,omitempty"`

}

The spec of multi-trial Neural Architecture Search (NAS).

func (*NasJobSpec_MultiTrialAlgorithmSpec) Descriptor

func (*NasJobSpec_MultiTrialAlgorithmSpec) Descriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec.ProtoReflect.Descriptor instead.

func (*NasJobSpec_MultiTrialAlgorithmSpec) GetMetric

func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetMetric() *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec

func (*NasJobSpec_MultiTrialAlgorithmSpec) GetMultiTrialAlgorithm

func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetMultiTrialAlgorithm() NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm

func (*NasJobSpec_MultiTrialAlgorithmSpec) GetSearchTrialSpec

func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetSearchTrialSpec() *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec

func (*NasJobSpec_MultiTrialAlgorithmSpec) GetTrainTrialSpec

func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetTrainTrialSpec() *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec

func (*NasJobSpec_MultiTrialAlgorithmSpec) ProtoMessage

func (*NasJobSpec_MultiTrialAlgorithmSpec) ProtoMessage()

func (*NasJobSpec_MultiTrialAlgorithmSpec) ProtoReflect

func (x *NasJobSpec_MultiTrialAlgorithmSpec) ProtoReflect() protoreflect.Message

func (*NasJobSpec_MultiTrialAlgorithmSpec) Reset

func (x *NasJobSpec_MultiTrialAlgorithmSpec) Reset()

func (*NasJobSpec_MultiTrialAlgorithmSpec) String

func (x *NasJobSpec_MultiTrialAlgorithmSpec) String() string

NasJobSpec_MultiTrialAlgorithmSpec_

type NasJobSpec_MultiTrialAlgorithmSpec_ struct {
	// The spec of multi-trial algorithms.
	MultiTrialAlgorithmSpec *NasJobSpec_MultiTrialAlgorithmSpec `protobuf:"bytes,2,opt,name=multi_trial_algorithm_spec,json=multiTrialAlgorithmSpec,proto3,oneof"`
}

NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec

type NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec struct {
	MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`

	Goal NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType "" /* 149 byte string literal not displayed */

}

Represents a metric to optimize.

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Descriptor

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec.ProtoReflect.Descriptor instead.

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetGoal

func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetGoal() NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetMetricId

func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetMetricId() string

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoMessage

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoMessage()

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoReflect

func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoReflect() protoreflect.Message

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Reset

func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Reset()

func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) String

func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) String() string

NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType

type NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType int32

The available types of optimization goals.

NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GOAL_TYPE_UNSPECIFIED, NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_MAXIMIZE, NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_MINIMIZE

const (
	// Goal Type will default to maximize.
	NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GOAL_TYPE_UNSPECIFIED NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType = 0
	// Maximize the goal metric.
	NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_MAXIMIZE NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType = 1
	// Minimize the goal metric.
	NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_MINIMIZE NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType = 2
)

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Descriptor

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Descriptor() protoreflect.EnumDescriptor

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Enum

func (x NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Enum() *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) EnumDescriptor

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) EnumDescriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType.Descriptor instead.

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Number

func (x NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Number() protoreflect.EnumNumber

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) String

func (x NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) String() string

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Type

func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Type() protoreflect.EnumType

NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm

type NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm int32

The available types of multi-trial algorithms.

NasJobSpec_MultiTrialAlgorithmSpec_MULTI_TRIAL_ALGORITHM_UNSPECIFIED, NasJobSpec_MultiTrialAlgorithmSpec_REINFORCEMENT_LEARNING, NasJobSpec_MultiTrialAlgorithmSpec_GRID_SEARCH

const (
	// Defaults to `REINFORCEMENT_LEARNING`.
	NasJobSpec_MultiTrialAlgorithmSpec_MULTI_TRIAL_ALGORITHM_UNSPECIFIED NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm = 0
	// The Reinforcement Learning Algorithm for Multi-trial Neural
	// Architecture Search (NAS).
	NasJobSpec_MultiTrialAlgorithmSpec_REINFORCEMENT_LEARNING NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm = 1
	// The Grid Search Algorithm for Multi-trial Neural
	// Architecture Search (NAS).
	NasJobSpec_MultiTrialAlgorithmSpec_GRID_SEARCH NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm = 2
)

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Descriptor

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Descriptor() protoreflect.EnumDescriptor

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Enum

func (x NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Enum() *NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) EnumDescriptor

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) EnumDescriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm.Descriptor instead.

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Number

func (x NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Number() protoreflect.EnumNumber

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) String

func (x NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) String() string

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Type

func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Type() protoreflect.EnumType

NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec

type NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec struct {
	SearchTrialJobSpec *CustomJobSpec `protobuf:"bytes,1,opt,name=search_trial_job_spec,json=searchTrialJobSpec,proto3" json:"search_trial_job_spec,omitempty"`

	MaxTrialCount int32 `protobuf:"varint,2,opt,name=max_trial_count,json=maxTrialCount,proto3" json:"max_trial_count,omitempty"`

	MaxParallelTrialCount int32 "" /* 129 byte string literal not displayed */

	MaxFailedTrialCount int32 `protobuf:"varint,4,opt,name=max_failed_trial_count,json=maxFailedTrialCount,proto3" json:"max_failed_trial_count,omitempty"`

}

Represent spec for search trials.

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Descriptor

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Descriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec.ProtoReflect.Descriptor instead.

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxFailedTrialCount

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxFailedTrialCount() int32

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxParallelTrialCount

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxParallelTrialCount() int32

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxTrialCount

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxTrialCount() int32

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetSearchTrialJobSpec

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetSearchTrialJobSpec() *CustomJobSpec

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoMessage

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoMessage()

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoReflect

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoReflect() protoreflect.Message

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Reset

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Reset()

func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) String

func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) String() string

NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec

type NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec struct {
	TrainTrialJobSpec *CustomJobSpec `protobuf:"bytes,1,opt,name=train_trial_job_spec,json=trainTrialJobSpec,proto3" json:"train_trial_job_spec,omitempty"`

	MaxParallelTrialCount int32 "" /* 129 byte string literal not displayed */

	Frequency int32 `protobuf:"varint,3,opt,name=frequency,proto3" json:"frequency,omitempty"`

}

Represent spec for train trials.

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Descriptor

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Descriptor() ([]byte, []int)

Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec.ProtoReflect.Descriptor instead.

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetFrequency

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetFrequency() int32

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetMaxParallelTrialCount

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetMaxParallelTrialCount() int32

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetTrainTrialJobSpec

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetTrainTrialJobSpec() *CustomJobSpec

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoMessage

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoMessage()

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoReflect

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoReflect() protoreflect.Message

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Reset

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Reset()

func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) String

func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) String() string

NasTrial

type NasTrial struct {

	// Output only. The identifier of the NasTrial assigned by the service.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Output only. The detailed state of the NasTrial.
	State NasTrial_State `protobuf:"varint,2,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.NasTrial_State" json:"state,omitempty"`
	// Output only. The final measurement containing the objective value.
	FinalMeasurement *Measurement `protobuf:"bytes,3,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`
	// Output only. Time when the NasTrial was started.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the NasTrial's status changed to `SUCCEEDED` or
	// `INFEASIBLE`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

Represents a uCAIP NasJob trial.

func (*NasTrial) Descriptor

func (*NasTrial) Descriptor() ([]byte, []int)

Deprecated: Use NasTrial.ProtoReflect.Descriptor instead.

func (*NasTrial) GetEndTime

func (x *NasTrial) GetEndTime() *timestamppb.Timestamp

func (*NasTrial) GetFinalMeasurement

func (x *NasTrial) GetFinalMeasurement() *Measurement

func (*NasTrial) GetId

func (x *NasTrial) GetId() string

func (*NasTrial) GetStartTime

func (x *NasTrial) GetStartTime() *timestamppb.Timestamp

func (*NasTrial) GetState

func (x *NasTrial) GetState() NasTrial_State

func (*NasTrial) ProtoMessage

func (*NasTrial) ProtoMessage()

func (*NasTrial) ProtoReflect

func (x *NasTrial) ProtoReflect() protoreflect.Message

func (*NasTrial) Reset

func (x *NasTrial) Reset()

func (*NasTrial) String

func (x *NasTrial) String() string

NasTrialDetail

type NasTrialDetail struct {

	// Output only. Resource name of the NasTrialDetail.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The parameters for the NasJob NasTrial.
	Parameters string `protobuf:"bytes,2,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// The requested search NasTrial.
	SearchTrial *NasTrial `protobuf:"bytes,3,opt,name=search_trial,json=searchTrial,proto3" json:"search_trial,omitempty"`
	// The train NasTrial corresponding to
	// [search_trial][google.cloud.aiplatform.v1.NasTrialDetail.search_trial].
	// Only populated if
	// [search_trial][google.cloud.aiplatform.v1.NasTrialDetail.search_trial] is
	// used for training.
	TrainTrial *NasTrial `protobuf:"bytes,4,opt,name=train_trial,json=trainTrial,proto3" json:"train_trial,omitempty"`
	// contains filtered or unexported fields
}

Represents a NasTrial details along with it's parameters. If there is a corresponding train NasTrial, the train NasTrial is also returned.

func (*NasTrialDetail) Descriptor

func (*NasTrialDetail) Descriptor() ([]byte, []int)

Deprecated: Use NasTrialDetail.ProtoReflect.Descriptor instead.

func (*NasTrialDetail) GetName

func (x *NasTrialDetail) GetName() string

func (*NasTrialDetail) GetParameters

func (x *NasTrialDetail) GetParameters() string

func (*NasTrialDetail) GetSearchTrial

func (x *NasTrialDetail) GetSearchTrial() *NasTrial

func (*NasTrialDetail) GetTrainTrial

func (x *NasTrialDetail) GetTrainTrial() *NasTrial

func (*NasTrialDetail) ProtoMessage

func (*NasTrialDetail) ProtoMessage()

func (*NasTrialDetail) ProtoReflect

func (x *NasTrialDetail) ProtoReflect() protoreflect.Message

func (*NasTrialDetail) Reset

func (x *NasTrialDetail) Reset()

func (*NasTrialDetail) String

func (x *NasTrialDetail) String() string

NasTrial_State

type NasTrial_State int32

Describes a NasTrial state.

NasTrial_STATE_UNSPECIFIED, NasTrial_REQUESTED, NasTrial_ACTIVE, NasTrial_STOPPING, NasTrial_SUCCEEDED, NasTrial_INFEASIBLE

const (
	// The NasTrial state is unspecified.
	NasTrial_STATE_UNSPECIFIED NasTrial_State = 0
	// Indicates that a specific NasTrial has been requested, but it has not yet
	// been suggested by the service.
	NasTrial_REQUESTED NasTrial_State = 1
	// Indicates that the NasTrial has been suggested.
	NasTrial_ACTIVE NasTrial_State = 2
	// Indicates that the NasTrial should stop according to the service.
	NasTrial_STOPPING NasTrial_State = 3
	// Indicates that the NasTrial is completed successfully.
	NasTrial_SUCCEEDED NasTrial_State = 4
	// Indicates that the NasTrial should not be attempted again.
	// The service will set a NasTrial to INFEASIBLE when it's done but missing
	// the final_measurement.
	NasTrial_INFEASIBLE NasTrial_State = 5
)

func (NasTrial_State) Descriptor

func (NasTrial_State) Descriptor() protoreflect.EnumDescriptor

func (NasTrial_State) Enum

func (x NasTrial_State) Enum() *NasTrial_State

func (NasTrial_State) EnumDescriptor

func (NasTrial_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use NasTrial_State.Descriptor instead.

func (NasTrial_State) Number

func (x NasTrial_State) Number() protoreflect.EnumNumber

func (NasTrial_State) String

func (x NasTrial_State) String() string

func (NasTrial_State) Type

func (NasTrial_State) Type() protoreflect.EnumType

NearestNeighborSearchOperationMetadata

type NearestNeighborSearchOperationMetadata struct {
	ContentValidationStats []*NearestNeighborSearchOperationMetadata_ContentValidationStats "" /* 129 byte string literal not displayed */

	DataBytesCount int64 `protobuf:"varint,2,opt,name=data_bytes_count,json=dataBytesCount,proto3" json:"data_bytes_count,omitempty"`

}

Runtime operation metadata with regard to Matching Engine Index.

func (*NearestNeighborSearchOperationMetadata) Descriptor

func (*NearestNeighborSearchOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata.ProtoReflect.Descriptor instead.

func (*NearestNeighborSearchOperationMetadata) GetContentValidationStats

func (x *NearestNeighborSearchOperationMetadata) GetContentValidationStats() []*NearestNeighborSearchOperationMetadata_ContentValidationStats

func (*NearestNeighborSearchOperationMetadata) GetDataBytesCount

func (x *NearestNeighborSearchOperationMetadata) GetDataBytesCount() int64

func (*NearestNeighborSearchOperationMetadata) ProtoMessage

func (*NearestNeighborSearchOperationMetadata) ProtoMessage()

func (*NearestNeighborSearchOperationMetadata) ProtoReflect

func (x *NearestNeighborSearchOperationMetadata) ProtoReflect() protoreflect.Message

func (*NearestNeighborSearchOperationMetadata) Reset

func (x *NearestNeighborSearchOperationMetadata) Reset()

func (*NearestNeighborSearchOperationMetadata) String

func (x *NearestNeighborSearchOperationMetadata) String() string

NearestNeighborSearchOperationMetadata_ContentValidationStats

type NearestNeighborSearchOperationMetadata_ContentValidationStats struct {

	// Cloud Storage URI pointing to the original file in user's bucket.
	SourceGcsUri string `protobuf:"bytes,1,opt,name=source_gcs_uri,json=sourceGcsUri,proto3" json:"source_gcs_uri,omitempty"`
	// Number of records in this file that were successfully processed.
	ValidRecordCount int64 `protobuf:"varint,2,opt,name=valid_record_count,json=validRecordCount,proto3" json:"valid_record_count,omitempty"`
	// Number of records in this file we skipped due to validate errors.
	InvalidRecordCount int64 `protobuf:"varint,3,opt,name=invalid_record_count,json=invalidRecordCount,proto3" json:"invalid_record_count,omitempty"`
	// The detail information of the partial failures encountered for those
	// invalid records that couldn't be parsed.
	// Up to 50 partial errors will be reported.
	PartialErrors []*NearestNeighborSearchOperationMetadata_RecordError `protobuf:"bytes,4,rep,name=partial_errors,json=partialErrors,proto3" json:"partial_errors,omitempty"`
	// contains filtered or unexported fields
}

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Descriptor

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata_ContentValidationStats.ProtoReflect.Descriptor instead.

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetInvalidRecordCount

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetInvalidRecordCount() int64

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetPartialErrors

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetPartialErrors() []*NearestNeighborSearchOperationMetadata_RecordError

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetSourceGcsUri

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetSourceGcsUri() string

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetValidRecordCount

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetValidRecordCount() int64

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoMessage

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoMessage()

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoReflect

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoReflect() protoreflect.Message

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Reset

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) Reset()

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) String

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) String() string

NearestNeighborSearchOperationMetadata_RecordError

type NearestNeighborSearchOperationMetadata_RecordError struct {
	ErrorType NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType "" /* 188 byte string literal not displayed */

	ErrorMessage string `protobuf:"bytes,2,opt,name=error_message,json=errorMessage,proto3" json:"error_message,omitempty"`

	SourceGcsUri string `protobuf:"bytes,3,opt,name=source_gcs_uri,json=sourceGcsUri,proto3" json:"source_gcs_uri,omitempty"`

	EmbeddingId string `protobuf:"bytes,4,opt,name=embedding_id,json=embeddingId,proto3" json:"embedding_id,omitempty"`

	RawRecord string `protobuf:"bytes,5,opt,name=raw_record,json=rawRecord,proto3" json:"raw_record,omitempty"`

}

func (*NearestNeighborSearchOperationMetadata_RecordError) Descriptor

func (*NearestNeighborSearchOperationMetadata_RecordError) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata_RecordError.ProtoReflect.Descriptor instead.

func (*NearestNeighborSearchOperationMetadata_RecordError) GetEmbeddingId

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetEmbeddingId() string

func (*NearestNeighborSearchOperationMetadata_RecordError) GetErrorMessage

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetErrorMessage() string

func (*NearestNeighborSearchOperationMetadata_RecordError) GetErrorType

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetErrorType() NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType

func (*NearestNeighborSearchOperationMetadata_RecordError) GetRawRecord

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetRawRecord() string

func (*NearestNeighborSearchOperationMetadata_RecordError) GetSourceGcsUri

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetSourceGcsUri() string

func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoMessage

func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoMessage()

func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoReflect

func (x *NearestNeighborSearchOperationMetadata_RecordError) ProtoReflect() protoreflect.Message

func (*NearestNeighborSearchOperationMetadata_RecordError) Reset

func (x *NearestNeighborSearchOperationMetadata_RecordError) Reset()

func (*NearestNeighborSearchOperationMetadata_RecordError) String

func (x *NearestNeighborSearchOperationMetadata_RecordError) String() string

NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType

type NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType int32

NearestNeighborSearchOperationMetadata_RecordError_ERROR_TYPE_UNSPECIFIED, NearestNeighborSearchOperationMetadata_RecordError_EMPTY_LINE, NearestNeighborSearchOperationMetadata_RecordError_INVALID_JSON_SYNTAX, NearestNeighborSearchOperationMetadata_RecordError_INVALID_CSV_SYNTAX, NearestNeighborSearchOperationMetadata_RecordError_INVALID_AVRO_SYNTAX, NearestNeighborSearchOperationMetadata_RecordError_INVALID_EMBEDDING_ID, NearestNeighborSearchOperationMetadata_RecordError_EMBEDDING_SIZE_MISMATCH, NearestNeighborSearchOperationMetadata_RecordError_NAMESPACE_MISSING

const (
	// Default, shall not be used.
	NearestNeighborSearchOperationMetadata_RecordError_ERROR_TYPE_UNSPECIFIED NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 0
	// The record is empty.
	NearestNeighborSearchOperationMetadata_RecordError_EMPTY_LINE NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 1
	// Invalid json format.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_JSON_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 2
	// Invalid csv format.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_CSV_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 3
	// Invalid avro format.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_AVRO_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 4
	// The embedding id is not valid.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_EMBEDDING_ID NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 5
	// The size of the embedding vectors does not match with the specified
	// dimension.
	NearestNeighborSearchOperationMetadata_RecordError_EMBEDDING_SIZE_MISMATCH NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 6
	// The `namespace` field is missing.
	NearestNeighborSearchOperationMetadata_RecordError_NAMESPACE_MISSING NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 7
)

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Descriptor

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Descriptor() protoreflect.EnumDescriptor

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Enum

func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Enum() *NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) EnumDescriptor

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) EnumDescriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType.Descriptor instead.

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Number

func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Number() protoreflect.EnumNumber

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) String

func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) String() string

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Type

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Type() protoreflect.EnumType

Neighbor

type Neighbor struct {

	// Output only. The neighbor id.
	NeighborId string `protobuf:"bytes,1,opt,name=neighbor_id,json=neighborId,proto3" json:"neighbor_id,omitempty"`
	// Output only. The neighbor distance.
	NeighborDistance float64 `protobuf:"fixed64,2,opt,name=neighbor_distance,json=neighborDistance,proto3" json:"neighbor_distance,omitempty"`
	// contains filtered or unexported fields
}

Neighbors for example-based explanations.

func (*Neighbor) Descriptor

func (*Neighbor) Descriptor() ([]byte, []int)

Deprecated: Use Neighbor.ProtoReflect.Descriptor instead.

func (*Neighbor) GetNeighborDistance

func (x *Neighbor) GetNeighborDistance() float64

func (*Neighbor) GetNeighborId

func (x *Neighbor) GetNeighborId() string

func (*Neighbor) ProtoMessage

func (*Neighbor) ProtoMessage()

func (*Neighbor) ProtoReflect

func (x *Neighbor) ProtoReflect() protoreflect.Message

func (*Neighbor) Reset

func (x *Neighbor) Reset()

func (*Neighbor) String

func (x *Neighbor) String() string

NfsMount

type NfsMount struct {

	// Required. IP address of the NFS server.
	Server string `protobuf:"bytes,1,opt,name=server,proto3" json:"server,omitempty"`
	// Required. Source path exported from NFS server.
	// Has to start with '/', and combined with the ip address, it indicates
	// the source mount path in the form of `server:path`
	Path string `protobuf:"bytes,2,opt,name=path,proto3" json:"path,omitempty"`
	// Required. Destination mount path. The NFS will be mounted for the user
	// under /mnt/nfs/

Represents a mount configuration for Network File System (NFS) to mount.

func (*NfsMount) Descriptor

func (*NfsMount) Descriptor() ([]byte, []int)

Deprecated: Use NfsMount.ProtoReflect.Descriptor instead.

func (*NfsMount) GetMountPoint

func (x *NfsMount) GetMountPoint() string

func (*NfsMount) GetPath

func (x *NfsMount) GetPath() string

func (*NfsMount) GetServer

func (x *NfsMount) GetServer() string

func (*NfsMount) ProtoMessage

func (*NfsMount) ProtoMessage()

func (*NfsMount) ProtoReflect

func (x *NfsMount) ProtoReflect() protoreflect.Message

func (*NfsMount) Reset

func (x *NfsMount) Reset()

func (*NfsMount) String

func (x *NfsMount) String() string

PauseModelDeploymentMonitoringJobRequest

type PauseModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the ModelDeploymentMonitoringJob to pause.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob].

func (*PauseModelDeploymentMonitoringJobRequest) Descriptor

func (*PauseModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use PauseModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*PauseModelDeploymentMonitoringJobRequest) GetName

func (x *PauseModelDeploymentMonitoringJobRequest) GetName() string

func (*PauseModelDeploymentMonitoringJobRequest) ProtoMessage

func (*PauseModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*PauseModelDeploymentMonitoringJobRequest) ProtoReflect

func (x *PauseModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*PauseModelDeploymentMonitoringJobRequest) Reset

func (x *PauseModelDeploymentMonitoringJobRequest) Reset()

func (*PauseModelDeploymentMonitoringJobRequest) String

func (x *PauseModelDeploymentMonitoringJobRequest) String() string

PipelineFailurePolicy

type PipelineFailurePolicy int32

Represents the failure policy of a pipeline. Currently, the default of a pipeline is that the pipeline will continue to run until no more tasks can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it will stop scheduling any new tasks when a task has failed. Any scheduled tasks will continue to completion.

PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_UNSPECIFIED, PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_FAIL_SLOW, PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_FAIL_FAST

const (
	// Default value, and follows fail slow behavior.
	PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_UNSPECIFIED PipelineFailurePolicy = 0
	// Indicates that the pipeline should continue to run until all possible
	// tasks have been scheduled and completed.
	PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_FAIL_SLOW PipelineFailurePolicy = 1
	// Indicates that the pipeline should stop scheduling new tasks after a task
	// has failed.
	PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_FAIL_FAST PipelineFailurePolicy = 2
)

func (PipelineFailurePolicy) Descriptor

func (PipelineFailurePolicy) Descriptor() protoreflect.EnumDescriptor

func (PipelineFailurePolicy) Enum

func (x PipelineFailurePolicy) Enum() *PipelineFailurePolicy

func (PipelineFailurePolicy) EnumDescriptor

func (PipelineFailurePolicy) EnumDescriptor() ([]byte, []int)

Deprecated: Use PipelineFailurePolicy.Descriptor instead.

func (PipelineFailurePolicy) Number

func (x PipelineFailurePolicy) Number() protoreflect.EnumNumber

func (PipelineFailurePolicy) String

func (x PipelineFailurePolicy) String() string

func (PipelineFailurePolicy) Type

func (PipelineFailurePolicy) Type() protoreflect.EnumType

PipelineJob

type PipelineJob struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	PipelineSpec *structpb.Struct `protobuf:"bytes,7,opt,name=pipeline_spec,json=pipelineSpec,proto3" json:"pipeline_spec,omitempty"`

	State PipelineState `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineState" json:"state,omitempty"`

	JobDetail *PipelineJobDetail `protobuf:"bytes,9,opt,name=job_detail,json=jobDetail,proto3" json:"job_detail,omitempty"`

	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	RuntimeConfig *PipelineJob_RuntimeConfig `protobuf:"bytes,12,opt,name=runtime_config,json=runtimeConfig,proto3" json:"runtime_config,omitempty"`

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,16,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

	ServiceAccount string `protobuf:"bytes,17,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`

	Network string `protobuf:"bytes,18,opt,name=network,proto3" json:"network,omitempty"`

	TemplateUri string `protobuf:"bytes,19,opt,name=template_uri,json=templateUri,proto3" json:"template_uri,omitempty"`

	TemplateMetadata *PipelineTemplateMetadata `protobuf:"bytes,20,opt,name=template_metadata,json=templateMetadata,proto3" json:"template_metadata,omitempty"`

}

An instance of a machine learning PipelineJob.

func (*PipelineJob) Descriptor

func (*PipelineJob) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJob.ProtoReflect.Descriptor instead.

func (*PipelineJob) GetCreateTime

func (x *PipelineJob) GetCreateTime() *timestamppb.Timestamp

func (*PipelineJob) GetDisplayName

func (x *PipelineJob) GetDisplayName() string

func (*PipelineJob) GetEncryptionSpec

func (x *PipelineJob) GetEncryptionSpec() *EncryptionSpec

func (*PipelineJob) GetEndTime

func (x *PipelineJob) GetEndTime() *timestamppb.Timestamp

func (*PipelineJob) GetError

func (x *PipelineJob) GetError() *status.Status

func (*PipelineJob) GetJobDetail

func (x *PipelineJob) GetJobDetail() *PipelineJobDetail

func (*PipelineJob) GetLabels

func (x *PipelineJob) GetLabels() map[string]string

func (*PipelineJob) GetName

func (x *PipelineJob) GetName() string

func (*PipelineJob) GetNetwork

func (x *PipelineJob) GetNetwork() string

func (*PipelineJob) GetPipelineSpec

func (x *PipelineJob) GetPipelineSpec() *structpb.Struct

func (*PipelineJob) GetRuntimeConfig

func (x *PipelineJob) GetRuntimeConfig() *PipelineJob_RuntimeConfig

func (*PipelineJob) GetServiceAccount

func (x *PipelineJob) GetServiceAccount() string

func (*PipelineJob) GetStartTime

func (x *PipelineJob) GetStartTime() *timestamppb.Timestamp

func (*PipelineJob) GetState

func (x *PipelineJob) GetState() PipelineState

func (*PipelineJob) GetTemplateMetadata

func (x *PipelineJob) GetTemplateMetadata() *PipelineTemplateMetadata

func (*PipelineJob) GetTemplateUri

func (x *PipelineJob) GetTemplateUri() string

func (*PipelineJob) GetUpdateTime

func (x *PipelineJob) GetUpdateTime() *timestamppb.Timestamp

func (*PipelineJob) ProtoMessage

func (*PipelineJob) ProtoMessage()

func (*PipelineJob) ProtoReflect

func (x *PipelineJob) ProtoReflect() protoreflect.Message

func (*PipelineJob) Reset

func (x *PipelineJob) Reset()

func (*PipelineJob) String

func (x *PipelineJob) String() string

PipelineJobDetail

type PipelineJobDetail struct {

	// Output only. The context of the pipeline.
	PipelineContext *Context `protobuf:"bytes,1,opt,name=pipeline_context,json=pipelineContext,proto3" json:"pipeline_context,omitempty"`
	// Output only. The context of the current pipeline run.
	PipelineRunContext *Context `protobuf:"bytes,2,opt,name=pipeline_run_context,json=pipelineRunContext,proto3" json:"pipeline_run_context,omitempty"`
	// Output only. The runtime details of the tasks under the pipeline.
	TaskDetails []*PipelineTaskDetail `protobuf:"bytes,3,rep,name=task_details,json=taskDetails,proto3" json:"task_details,omitempty"`
	// contains filtered or unexported fields
}

The runtime detail of PipelineJob.

func (*PipelineJobDetail) Descriptor

func (*PipelineJobDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJobDetail.ProtoReflect.Descriptor instead.

func (*PipelineJobDetail) GetPipelineContext

func (x *PipelineJobDetail) GetPipelineContext() *Context

func (*PipelineJobDetail) GetPipelineRunContext

func (x *PipelineJobDetail) GetPipelineRunContext() *Context

func (*PipelineJobDetail) GetTaskDetails

func (x *PipelineJobDetail) GetTaskDetails() []*PipelineTaskDetail

func (*PipelineJobDetail) ProtoMessage

func (*PipelineJobDetail) ProtoMessage()

func (*PipelineJobDetail) ProtoReflect

func (x *PipelineJobDetail) ProtoReflect() protoreflect.Message

func (*PipelineJobDetail) Reset

func (x *PipelineJobDetail) Reset()

func (*PipelineJobDetail) String

func (x *PipelineJobDetail) String() string

PipelineJob_RuntimeConfig

type PipelineJob_RuntimeConfig struct {
	Parameters map[string]*Value "" /* 161 byte string literal not displayed */

	GcsOutputDirectory string `protobuf:"bytes,2,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3" json:"gcs_output_directory,omitempty"`

	ParameterValues map[string]*structpb.Value "" /* 194 byte string literal not displayed */

	FailurePolicy PipelineFailurePolicy "" /* 155 byte string literal not displayed */

	InputArtifacts map[string]*PipelineJob_RuntimeConfig_InputArtifact "" /* 191 byte string literal not displayed */

}

The runtime config of a PipelineJob.

func (*PipelineJob_RuntimeConfig) Descriptor

func (*PipelineJob_RuntimeConfig) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJob_RuntimeConfig.ProtoReflect.Descriptor instead.

func (*PipelineJob_RuntimeConfig) GetFailurePolicy

func (x *PipelineJob_RuntimeConfig) GetFailurePolicy() PipelineFailurePolicy

func (*PipelineJob_RuntimeConfig) GetGcsOutputDirectory

func (x *PipelineJob_RuntimeConfig) GetGcsOutputDirectory() string

func (*PipelineJob_RuntimeConfig) GetInputArtifacts

func (x *PipelineJob_RuntimeConfig) GetInputArtifacts() map[string]*PipelineJob_RuntimeConfig_InputArtifact

func (*PipelineJob_RuntimeConfig) GetParameterValues

func (x *PipelineJob_RuntimeConfig) GetParameterValues() map[string]*structpb.Value

func (*PipelineJob_RuntimeConfig) GetParameters

func (x *PipelineJob_RuntimeConfig) GetParameters() map[string]*Value

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/pipeline_job.proto.

func (*PipelineJob_RuntimeConfig) ProtoMessage

func (*PipelineJob_RuntimeConfig) ProtoMessage()

func (*PipelineJob_RuntimeConfig) ProtoReflect

func (x *PipelineJob_RuntimeConfig) ProtoReflect() protoreflect.Message

func (*PipelineJob_RuntimeConfig) Reset

func (x *PipelineJob_RuntimeConfig) Reset()

func (*PipelineJob_RuntimeConfig) String

func (x *PipelineJob_RuntimeConfig) String() string

PipelineJob_RuntimeConfig_InputArtifact

type PipelineJob_RuntimeConfig_InputArtifact struct {

	// Types that are assignable to Kind:
	//	*PipelineJob_RuntimeConfig_InputArtifact_ArtifactId
	Kind isPipelineJob_RuntimeConfig_InputArtifact_Kind `protobuf_oneof:"kind"`
	// contains filtered or unexported fields
}

The type of an input artifact.

func (*PipelineJob_RuntimeConfig_InputArtifact) Descriptor

func (*PipelineJob_RuntimeConfig_InputArtifact) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJob_RuntimeConfig_InputArtifact.ProtoReflect.Descriptor instead.

func (*PipelineJob_RuntimeConfig_InputArtifact) GetArtifactId

func (x *PipelineJob_RuntimeConfig_InputArtifact) GetArtifactId() string

func (*PipelineJob_RuntimeConfig_InputArtifact) GetKind

func (m *PipelineJob_RuntimeConfig_InputArtifact) GetKind() isPipelineJob_RuntimeConfig_InputArtifact_Kind

func (*PipelineJob_RuntimeConfig_InputArtifact) ProtoMessage

func (*PipelineJob_RuntimeConfig_InputArtifact) ProtoMessage()

func (*PipelineJob_RuntimeConfig_InputArtifact) ProtoReflect

func (x *PipelineJob_RuntimeConfig_InputArtifact) ProtoReflect() protoreflect.Message

func (*PipelineJob_RuntimeConfig_InputArtifact) Reset

func (x *PipelineJob_RuntimeConfig_InputArtifact) Reset()

func (*PipelineJob_RuntimeConfig_InputArtifact) String

func (x *PipelineJob_RuntimeConfig_InputArtifact) String() string

PipelineJob_RuntimeConfig_InputArtifact_ArtifactId

type PipelineJob_RuntimeConfig_InputArtifact_ArtifactId struct {
	// Artifact resource id from MLMD. Which is the last portion of an
	// artifact resource name:
	// `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`.
	// The artifact must stay within the same project, location and default
	// metadatastore as the pipeline.
	ArtifactId string `protobuf:"bytes,1,opt,name=artifact_id,json=artifactId,proto3,oneof"`
}

PipelineServiceClient

type PipelineServiceClient interface {
	// Creates a TrainingPipeline. A created TrainingPipeline right away will be
	// attempted to be run.
	CreateTrainingPipeline(ctx context.Context, in *CreateTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error)
	// Gets a TrainingPipeline.
	GetTrainingPipeline(ctx context.Context, in *GetTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error)
	// Lists TrainingPipelines in a Location.
	ListTrainingPipelines(ctx context.Context, in *ListTrainingPipelinesRequest, opts ...grpc.CallOption) (*ListTrainingPipelinesResponse, error)
	// Deletes a TrainingPipeline.
	DeleteTrainingPipeline(ctx context.Context, in *DeleteTrainingPipelineRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a TrainingPipeline.
	// Starts asynchronous cancellation on the TrainingPipeline. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use
	// [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
	// or other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the TrainingPipeline is not deleted; instead it becomes a pipeline with
	// a
	// [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error]
	// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and
	// [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state]
	// is set to `CANCELLED`.
	CancelTrainingPipeline(ctx context.Context, in *CancelTrainingPipelineRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a PipelineJob. A PipelineJob will run immediately when created.
	CreatePipelineJob(ctx context.Context, in *CreatePipelineJobRequest, opts ...grpc.CallOption) (*PipelineJob, error)
	// Gets a PipelineJob.
	GetPipelineJob(ctx context.Context, in *GetPipelineJobRequest, opts ...grpc.CallOption) (*PipelineJob, error)
	// Lists PipelineJobs in a Location.
	ListPipelineJobs(ctx context.Context, in *ListPipelineJobsRequest, opts ...grpc.CallOption) (*ListPipelineJobsResponse, error)
	// Deletes a PipelineJob.
	DeletePipelineJob(ctx context.Context, in *DeletePipelineJobRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Cancels a PipelineJob.
	// Starts asynchronous cancellation on the PipelineJob. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use
	// [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the PipelineJob is not deleted; instead it becomes a pipeline with
	// a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value
	// with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding
	// to `Code.CANCELLED`, and
	// [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
	// `CANCELLED`.
	CancelPipelineJob(ctx context.Context, in *CancelPipelineJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
}

PipelineServiceClient is the client API for PipelineService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewPipelineServiceClient

func NewPipelineServiceClient(cc grpc.ClientConnInterface) PipelineServiceClient

PipelineServiceServer

type PipelineServiceServer interface {
	// Creates a TrainingPipeline. A created TrainingPipeline right away will be
	// attempted to be run.
	CreateTrainingPipeline(context.Context, *CreateTrainingPipelineRequest) (*TrainingPipeline, error)
	// Gets a TrainingPipeline.
	GetTrainingPipeline(context.Context, *GetTrainingPipelineRequest) (*TrainingPipeline, error)
	// Lists TrainingPipelines in a Location.
	ListTrainingPipelines(context.Context, *ListTrainingPipelinesRequest) (*ListTrainingPipelinesResponse, error)
	// Deletes a TrainingPipeline.
	DeleteTrainingPipeline(context.Context, *DeleteTrainingPipelineRequest) (*longrunningpb.Operation, error)
	// Cancels a TrainingPipeline.
	// Starts asynchronous cancellation on the TrainingPipeline. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use
	// [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
	// or other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the TrainingPipeline is not deleted; instead it becomes a pipeline with
	// a
	// [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error]
	// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and
	// [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state]
	// is set to `CANCELLED`.
	CancelTrainingPipeline(context.Context, *CancelTrainingPipelineRequest) (*emptypb.Empty, error)
	// Creates a PipelineJob. A PipelineJob will run immediately when created.
	CreatePipelineJob(context.Context, *CreatePipelineJobRequest) (*PipelineJob, error)
	// Gets a PipelineJob.
	GetPipelineJob(context.Context, *GetPipelineJobRequest) (*PipelineJob, error)
	// Lists PipelineJobs in a Location.
	ListPipelineJobs(context.Context, *ListPipelineJobsRequest) (*ListPipelineJobsResponse, error)
	// Deletes a PipelineJob.
	DeletePipelineJob(context.Context, *DeletePipelineJobRequest) (*longrunningpb.Operation, error)
	// Cancels a PipelineJob.
	// Starts asynchronous cancellation on the PipelineJob. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use
	// [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]
	// or other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the PipelineJob is not deleted; instead it becomes a pipeline with
	// a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value
	// with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding
	// to `Code.CANCELLED`, and
	// [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
	// `CANCELLED`.
	CancelPipelineJob(context.Context, *CancelPipelineJobRequest) (*emptypb.Empty, error)
}

PipelineServiceServer is the server API for PipelineService service.

PipelineState

type PipelineState int32

Describes the state of a pipeline.

PipelineState_PIPELINE_STATE_UNSPECIFIED, PipelineState_PIPELINE_STATE_QUEUED, PipelineState_PIPELINE_STATE_PENDING, PipelineState_PIPELINE_STATE_RUNNING, PipelineState_PIPELINE_STATE_SUCCEEDED, PipelineState_PIPELINE_STATE_FAILED, PipelineState_PIPELINE_STATE_CANCELLING, PipelineState_PIPELINE_STATE_CANCELLED, PipelineState_PIPELINE_STATE_PAUSED

const (
	// The pipeline state is unspecified.
	PipelineState_PIPELINE_STATE_UNSPECIFIED PipelineState = 0
	// The pipeline has been created or resumed, and processing has not yet
	// begun.
	PipelineState_PIPELINE_STATE_QUEUED PipelineState = 1
	// The service is preparing to run the pipeline.
	PipelineState_PIPELINE_STATE_PENDING PipelineState = 2
	// The pipeline is in progress.
	PipelineState_PIPELINE_STATE_RUNNING PipelineState = 3
	// The pipeline completed successfully.
	PipelineState_PIPELINE_STATE_SUCCEEDED PipelineState = 4
	// The pipeline failed.
	PipelineState_PIPELINE_STATE_FAILED PipelineState = 5
	// The pipeline is being cancelled. From this state, the pipeline may only go
	// to either PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED or
	// PIPELINE_STATE_CANCELLED.
	PipelineState_PIPELINE_STATE_CANCELLING PipelineState = 6
	// The pipeline has been cancelled.
	PipelineState_PIPELINE_STATE_CANCELLED PipelineState = 7
	// The pipeline has been stopped, and can be resumed.
	PipelineState_PIPELINE_STATE_PAUSED PipelineState = 8
)

func (PipelineState) Descriptor

func (PipelineState) Descriptor() protoreflect.EnumDescriptor

func (PipelineState) Enum

func (x PipelineState) Enum() *PipelineState

func (PipelineState) EnumDescriptor

func (PipelineState) EnumDescriptor() ([]byte, []int)

Deprecated: Use PipelineState.Descriptor instead.

func (PipelineState) Number

func (x PipelineState) Number() protoreflect.EnumNumber

func (PipelineState) String

func (x PipelineState) String() string

func (PipelineState) Type

func (PipelineState) Type() protoreflect.EnumType

PipelineTaskDetail

type PipelineTaskDetail struct {
	TaskId int64 `protobuf:"varint,1,opt,name=task_id,json=taskId,proto3" json:"task_id,omitempty"`

	ParentTaskId int64 `protobuf:"varint,12,opt,name=parent_task_id,json=parentTaskId,proto3" json:"parent_task_id,omitempty"`

	TaskName string `protobuf:"bytes,2,opt,name=task_name,json=taskName,proto3" json:"task_name,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

	ExecutorDetail *PipelineTaskExecutorDetail `protobuf:"bytes,6,opt,name=executor_detail,json=executorDetail,proto3" json:"executor_detail,omitempty"`

	State PipelineTaskDetail_State `protobuf:"varint,7,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineTaskDetail_State" json:"state,omitempty"`

	Execution *Execution `protobuf:"bytes,8,opt,name=execution,proto3" json:"execution,omitempty"`

	Error *status.Status `protobuf:"bytes,9,opt,name=error,proto3" json:"error,omitempty"`

	PipelineTaskStatus []*PipelineTaskDetail_PipelineTaskStatus `protobuf:"bytes,13,rep,name=pipeline_task_status,json=pipelineTaskStatus,proto3" json:"pipeline_task_status,omitempty"`

	Inputs map[string]*PipelineTaskDetail_ArtifactList "" /* 154 byte string literal not displayed */

	Outputs map[string]*PipelineTaskDetail_ArtifactList "" /* 156 byte string literal not displayed */

}

The runtime detail of a task execution.

func (*PipelineTaskDetail) Descriptor

func (*PipelineTaskDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskDetail) GetCreateTime

func (x *PipelineTaskDetail) GetCreateTime() *timestamppb.Timestamp

func (*PipelineTaskDetail) GetEndTime

func (x *PipelineTaskDetail) GetEndTime() *timestamppb.Timestamp

func (*PipelineTaskDetail) GetError

func (x *PipelineTaskDetail) GetError() *status.Status

func (*PipelineTaskDetail) GetExecution

func (x *PipelineTaskDetail) GetExecution() *Execution

func (*PipelineTaskDetail) GetExecutorDetail

func (x *PipelineTaskDetail) GetExecutorDetail() *PipelineTaskExecutorDetail

func (*PipelineTaskDetail) GetInputs

func (x *PipelineTaskDetail) GetInputs() map[string]*PipelineTaskDetail_ArtifactList

func (*PipelineTaskDetail) GetOutputs

func (x *PipelineTaskDetail) GetOutputs() map[string]*PipelineTaskDetail_ArtifactList

func (*PipelineTaskDetail) GetParentTaskId

func (x *PipelineTaskDetail) GetParentTaskId() int64

func (*PipelineTaskDetail) GetPipelineTaskStatus

func (x *PipelineTaskDetail) GetPipelineTaskStatus() []*PipelineTaskDetail_PipelineTaskStatus

func (*PipelineTaskDetail) GetStartTime

func (x *PipelineTaskDetail) GetStartTime() *timestamppb.Timestamp

func (*PipelineTaskDetail) GetState

func (x *PipelineTaskDetail) GetState() PipelineTaskDetail_State

func (*PipelineTaskDetail) GetTaskId

func (x *PipelineTaskDetail) GetTaskId() int64

func (*PipelineTaskDetail) GetTaskName

func (x *PipelineTaskDetail) GetTaskName() string

func (*PipelineTaskDetail) ProtoMessage

func (*PipelineTaskDetail) ProtoMessage()

func (*PipelineTaskDetail) ProtoReflect

func (x *PipelineTaskDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskDetail) Reset

func (x *PipelineTaskDetail) Reset()

func (*PipelineTaskDetail) String

func (x *PipelineTaskDetail) String() string

PipelineTaskDetail_ArtifactList

type PipelineTaskDetail_ArtifactList struct {

	// Output only. A list of artifact metadata.
	Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// contains filtered or unexported fields
}

A list of artifact metadata.

func (*PipelineTaskDetail_ArtifactList) Descriptor

func (*PipelineTaskDetail_ArtifactList) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail_ArtifactList.ProtoReflect.Descriptor instead.

func (*PipelineTaskDetail_ArtifactList) GetArtifacts

func (x *PipelineTaskDetail_ArtifactList) GetArtifacts() []*Artifact

func (*PipelineTaskDetail_ArtifactList) ProtoMessage

func (*PipelineTaskDetail_ArtifactList) ProtoMessage()

func (*PipelineTaskDetail_ArtifactList) ProtoReflect

func (x *PipelineTaskDetail_ArtifactList) ProtoReflect() protoreflect.Message

func (*PipelineTaskDetail_ArtifactList) Reset

func (x *PipelineTaskDetail_ArtifactList) Reset()

func (*PipelineTaskDetail_ArtifactList) String

func (x *PipelineTaskDetail_ArtifactList) String() string

PipelineTaskDetail_PipelineTaskStatus

type PipelineTaskDetail_PipelineTaskStatus struct {

	// Output only. Update time of this status.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. The state of the task.
	State PipelineTaskDetail_State `protobuf:"varint,2,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineTaskDetail_State" json:"state,omitempty"`
	// Output only. The error that occurred during the state. May be set when
	// the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
	// FAILED state. If the state is FAILED, the error here is final and not
	// going to be retried. If the state is a non-final state, the error
	// indicates a system-error being retried.
	Error *status.Status `protobuf:"bytes,3,opt,name=error,proto3" json:"error,omitempty"`
	// contains filtered or unexported fields
}

A single record of the task status.

func (*PipelineTaskDetail_PipelineTaskStatus) Descriptor

func (*PipelineTaskDetail_PipelineTaskStatus) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail_PipelineTaskStatus.ProtoReflect.Descriptor instead.

func (*PipelineTaskDetail_PipelineTaskStatus) GetError

func (x *PipelineTaskDetail_PipelineTaskStatus) GetError() *status.Status

func (*PipelineTaskDetail_PipelineTaskStatus) GetState

func (x *PipelineTaskDetail_PipelineTaskStatus) GetState() PipelineTaskDetail_State

func (*PipelineTaskDetail_PipelineTaskStatus) GetUpdateTime

func (x *PipelineTaskDetail_PipelineTaskStatus) GetUpdateTime() *timestamppb.Timestamp

func (*PipelineTaskDetail_PipelineTaskStatus) ProtoMessage

func (*PipelineTaskDetail_PipelineTaskStatus) ProtoMessage()

func (*PipelineTaskDetail_PipelineTaskStatus) ProtoReflect

func (x *PipelineTaskDetail_PipelineTaskStatus) ProtoReflect() protoreflect.Message

func (*PipelineTaskDetail_PipelineTaskStatus) Reset

func (x *PipelineTaskDetail_PipelineTaskStatus) Reset()

func (*PipelineTaskDetail_PipelineTaskStatus) String

func (x *PipelineTaskDetail_PipelineTaskStatus) String() string

PipelineTaskDetail_State

type PipelineTaskDetail_State int32

Specifies state of TaskExecution

PipelineTaskDetail_STATE_UNSPECIFIED, PipelineTaskDetail_PENDING, PipelineTaskDetail_RUNNING, PipelineTaskDetail_SUCCEEDED, PipelineTaskDetail_CANCEL_PENDING, PipelineTaskDetail_CANCELLING, PipelineTaskDetail_CANCELLED, PipelineTaskDetail_FAILED, PipelineTaskDetail_SKIPPED, PipelineTaskDetail_NOT_TRIGGERED

const (
	// Unspecified.
	PipelineTaskDetail_STATE_UNSPECIFIED PipelineTaskDetail_State = 0
	// Specifies pending state for the task.
	PipelineTaskDetail_PENDING PipelineTaskDetail_State = 1
	// Specifies task is being executed.
	PipelineTaskDetail_RUNNING PipelineTaskDetail_State = 2
	// Specifies task completed successfully.
	PipelineTaskDetail_SUCCEEDED PipelineTaskDetail_State = 3
	// Specifies Task cancel is in pending state.
	PipelineTaskDetail_CANCEL_PENDING PipelineTaskDetail_State = 4
	// Specifies task is being cancelled.
	PipelineTaskDetail_CANCELLING PipelineTaskDetail_State = 5
	// Specifies task was cancelled.
	PipelineTaskDetail_CANCELLED PipelineTaskDetail_State = 6
	// Specifies task failed.
	PipelineTaskDetail_FAILED PipelineTaskDetail_State = 7
	// Specifies task was skipped due to cache hit.
	PipelineTaskDetail_SKIPPED PipelineTaskDetail_State = 8
	// Specifies that the task was not triggered because the task's trigger
	// policy is not satisfied. The trigger policy is specified in the
	// `condition` field of
	// [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
	PipelineTaskDetail_NOT_TRIGGERED PipelineTaskDetail_State = 9
)

func (PipelineTaskDetail_State) Descriptor

func (PipelineTaskDetail_State) Descriptor() protoreflect.EnumDescriptor

func (PipelineTaskDetail_State) Enum

func (x PipelineTaskDetail_State) Enum() *PipelineTaskDetail_State

func (PipelineTaskDetail_State) EnumDescriptor

func (PipelineTaskDetail_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail_State.Descriptor instead.

func (PipelineTaskDetail_State) Number

func (x PipelineTaskDetail_State) Number() protoreflect.EnumNumber

func (PipelineTaskDetail_State) String

func (x PipelineTaskDetail_State) String() string

func (PipelineTaskDetail_State) Type

func (PipelineTaskDetail_State) Type() protoreflect.EnumType

PipelineTaskExecutorDetail

type PipelineTaskExecutorDetail struct {

	// Types that are assignable to Details:
	//	*PipelineTaskExecutorDetail_ContainerDetail_
	//	*PipelineTaskExecutorDetail_CustomJobDetail_
	Details isPipelineTaskExecutorDetail_Details `protobuf_oneof:"details"`
	// contains filtered or unexported fields
}

The runtime detail of a pipeline executor.

func (*PipelineTaskExecutorDetail) Descriptor

func (*PipelineTaskExecutorDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskExecutorDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskExecutorDetail) GetContainerDetail

func (x *PipelineTaskExecutorDetail) GetContainerDetail() *PipelineTaskExecutorDetail_ContainerDetail

func (*PipelineTaskExecutorDetail) GetCustomJobDetail

func (x *PipelineTaskExecutorDetail) GetCustomJobDetail() *PipelineTaskExecutorDetail_CustomJobDetail

func (*PipelineTaskExecutorDetail) GetDetails

func (m *PipelineTaskExecutorDetail) GetDetails() isPipelineTaskExecutorDetail_Details

func (*PipelineTaskExecutorDetail) ProtoMessage

func (*PipelineTaskExecutorDetail) ProtoMessage()

func (*PipelineTaskExecutorDetail) ProtoReflect

func (x *PipelineTaskExecutorDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskExecutorDetail) Reset

func (x *PipelineTaskExecutorDetail) Reset()

func (*PipelineTaskExecutorDetail) String

func (x *PipelineTaskExecutorDetail) String() string

PipelineTaskExecutorDetail_ContainerDetail

type PipelineTaskExecutorDetail_ContainerDetail struct {
	MainJob string `protobuf:"bytes,1,opt,name=main_job,json=mainJob,proto3" json:"main_job,omitempty"`

	PreCachingCheckJob string `protobuf:"bytes,2,opt,name=pre_caching_check_job,json=preCachingCheckJob,proto3" json:"pre_caching_check_job,omitempty"`

	FailedMainJobs []string `protobuf:"bytes,3,rep,name=failed_main_jobs,json=failedMainJobs,proto3" json:"failed_main_jobs,omitempty"`

	FailedPreCachingCheckJobs []string "" /* 142 byte string literal not displayed */

}

The detail of a container execution. It contains the job names of the lifecycle of a container execution.

func (*PipelineTaskExecutorDetail_ContainerDetail) Descriptor

func (*PipelineTaskExecutorDetail_ContainerDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskExecutorDetail_ContainerDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskExecutorDetail_ContainerDetail) GetFailedMainJobs

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetFailedMainJobs() []string

func (*PipelineTaskExecutorDetail_ContainerDetail) GetFailedPreCachingCheckJobs

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetFailedPreCachingCheckJobs() []string

func (*PipelineTaskExecutorDetail_ContainerDetail) GetMainJob

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetMainJob() string

func (*PipelineTaskExecutorDetail_ContainerDetail) GetPreCachingCheckJob

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetPreCachingCheckJob() string

func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoMessage

func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoMessage()

func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoReflect

func (x *PipelineTaskExecutorDetail_ContainerDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskExecutorDetail_ContainerDetail) Reset

func (x *PipelineTaskExecutorDetail_ContainerDetail) Reset()

func (*PipelineTaskExecutorDetail_ContainerDetail) String

func (x *PipelineTaskExecutorDetail_ContainerDetail) String() string

PipelineTaskExecutorDetail_ContainerDetail_

type PipelineTaskExecutorDetail_ContainerDetail_ struct {
	// Output only. The detailed info for a container executor.
	ContainerDetail *PipelineTaskExecutorDetail_ContainerDetail `protobuf:"bytes,1,opt,name=container_detail,json=containerDetail,proto3,oneof"`
}

PipelineTaskExecutorDetail_CustomJobDetail

type PipelineTaskExecutorDetail_CustomJobDetail struct {

	// Output only. The name of the
	// [CustomJob][google.cloud.aiplatform.v1.CustomJob].
	Job string `protobuf:"bytes,1,opt,name=job,proto3" json:"job,omitempty"`
	// Output only. The names of the previously failed
	// [CustomJob][google.cloud.aiplatform.v1.CustomJob]. The list includes the
	// all attempts in chronological order.
	FailedJobs []string `protobuf:"bytes,3,rep,name=failed_jobs,json=failedJobs,proto3" json:"failed_jobs,omitempty"`
	// contains filtered or unexported fields
}

The detailed info for a custom job executor.

func (*PipelineTaskExecutorDetail_CustomJobDetail) Descriptor

func (*PipelineTaskExecutorDetail_CustomJobDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskExecutorDetail_CustomJobDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskExecutorDetail_CustomJobDetail) GetFailedJobs

func (x *PipelineTaskExecutorDetail_CustomJobDetail) GetFailedJobs() []string

func (*PipelineTaskExecutorDetail_CustomJobDetail) GetJob

func (x *PipelineTaskExecutorDetail_CustomJobDetail) GetJob() string

func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoMessage

func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoMessage()

func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoReflect

func (x *PipelineTaskExecutorDetail_CustomJobDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskExecutorDetail_CustomJobDetail) Reset

func (x *PipelineTaskExecutorDetail_CustomJobDetail) Reset()

func (*PipelineTaskExecutorDetail_CustomJobDetail) String

func (x *PipelineTaskExecutorDetail_CustomJobDetail) String() string

PipelineTaskExecutorDetail_CustomJobDetail_

type PipelineTaskExecutorDetail_CustomJobDetail_ struct {
	// Output only. The detailed info for a custom job executor.
	CustomJobDetail *PipelineTaskExecutorDetail_CustomJobDetail `protobuf:"bytes,2,opt,name=custom_job_detail,json=customJobDetail,proto3,oneof"`
}

PipelineTemplateMetadata

type PipelineTemplateMetadata struct {

	// The version_name in artifact registry.
	//
	// Will always be presented in output if the
	// [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
	// is from supported template registry.
	//
	// Format is "sha256:abcdef123456...".
	Version string `protobuf:"bytes,3,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry. Currently, the only supported registry is Artifact Registry.

func (*PipelineTemplateMetadata) Descriptor

func (*PipelineTemplateMetadata) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTemplateMetadata.ProtoReflect.Descriptor instead.

func (*PipelineTemplateMetadata) GetVersion

func (x *PipelineTemplateMetadata) GetVersion() string

func (*PipelineTemplateMetadata) ProtoMessage

func (*PipelineTemplateMetadata) ProtoMessage()

func (*PipelineTemplateMetadata) ProtoReflect

func (x *PipelineTemplateMetadata) ProtoReflect() protoreflect.Message

func (*PipelineTemplateMetadata) Reset

func (x *PipelineTemplateMetadata) Reset()

func (*PipelineTemplateMetadata) String

func (x *PipelineTemplateMetadata) String() string

Port

type Port struct {

	// The number of the port to expose on the pod's IP address.
	// Must be a valid port number, between 1 and 65535 inclusive.
	ContainerPort int32 `protobuf:"varint,3,opt,name=container_port,json=containerPort,proto3" json:"container_port,omitempty"`
	// contains filtered or unexported fields
}

Represents a network port in a container.

func (*Port) Descriptor

func (*Port) Descriptor() ([]byte, []int)

Deprecated: Use Port.ProtoReflect.Descriptor instead.

func (*Port) GetContainerPort

func (x *Port) GetContainerPort() int32

func (*Port) ProtoMessage

func (*Port) ProtoMessage()

func (*Port) ProtoReflect

func (x *Port) ProtoReflect() protoreflect.Message

func (*Port) Reset

func (x *Port) Reset()

func (*Port) String

func (x *Port) String() string

PredefinedSplit

type PredefinedSplit struct {

	// Required. The key is a name of one of the Dataset's data columns.
	// The value of the key (either the label's value or value in the column)
	// must be one of {`training`, `validation`, `test`}, and it defines to which
	// set the given piece of data is assigned. If for a piece of data the key
	// is not present or has an invalid value, that piece is ignored by the
	// pipeline.
	Key string `protobuf:"bytes,1,opt,name=key,proto3" json:"key,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to training, validation, and test sets based on the value of a provided key.

Supported only for tabular Datasets.

func (*PredefinedSplit) Descriptor

func (*PredefinedSplit) Descriptor() ([]byte, []int)

Deprecated: Use PredefinedSplit.ProtoReflect.Descriptor instead.

func (*PredefinedSplit) GetKey

func (x *PredefinedSplit) GetKey() string

func (*PredefinedSplit) ProtoMessage

func (*PredefinedSplit) ProtoMessage()

func (*PredefinedSplit) ProtoReflect

func (x *PredefinedSplit) ProtoReflect() protoreflect.Message

func (*PredefinedSplit) Reset

func (x *PredefinedSplit) Reset()

func (*PredefinedSplit) String

func (x *PredefinedSplit) String() string

PredictRequest

type PredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The instances that are the input to the prediction call.
	// A DeployedModel may have an upper limit on the number of instances it
	// supports per request, and when it is exceeded the prediction call errors
	// in case of AutoML Models, or, in case of customer created Models, the
	// behaviour is as documented by that Model.
	// The schema of any single instance may be specified via Endpoint's
	// DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
	Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// The parameters that govern the prediction. The schema of the parameters may
	// be specified via Endpoint's DeployedModels' [Model's
	// ][google.cloud.aiplatform.v1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
	Parameters *structpb.Value `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].

func (*PredictRequest) Descriptor

func (*PredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use PredictRequest.ProtoReflect.Descriptor instead.

func (*PredictRequest) GetEndpoint

func (x *PredictRequest) GetEndpoint() string

func (*PredictRequest) GetInstances

func (x *PredictRequest) GetInstances() []*structpb.Value

func (*PredictRequest) GetParameters

func (x *PredictRequest) GetParameters() *structpb.Value

func (*PredictRequest) ProtoMessage

func (*PredictRequest) ProtoMessage()

func (*PredictRequest) ProtoReflect

func (x *PredictRequest) ProtoReflect() protoreflect.Message

func (*PredictRequest) Reset

func (x *PredictRequest) Reset()

func (*PredictRequest) String

func (x *PredictRequest) String() string

PredictRequestResponseLoggingConfig

type PredictRequestResponseLoggingConfig struct {

	// If logging is enabled or not.
	Enabled bool `protobuf:"varint,1,opt,name=enabled,proto3" json:"enabled,omitempty"`
	// Percentage of requests to be logged, expressed as a fraction in
	// range(0,1].
	SamplingRate float64 `protobuf:"fixed64,2,opt,name=sampling_rate,json=samplingRate,proto3" json:"sampling_rate,omitempty"`
	// BigQuery table for logging.
	// If only given a project, a new dataset will be created with name
	// `logging_

Configuration for logging request-response to a BigQuery table.

func (*PredictRequestResponseLoggingConfig) Descriptor

func (*PredictRequestResponseLoggingConfig) Descriptor() ([]byte, []int)

Deprecated: Use PredictRequestResponseLoggingConfig.ProtoReflect.Descriptor instead.

func (*PredictRequestResponseLoggingConfig) GetBigqueryDestination

func (x *PredictRequestResponseLoggingConfig) GetBigqueryDestination() *BigQueryDestination

func (*PredictRequestResponseLoggingConfig) GetEnabled

func (x *PredictRequestResponseLoggingConfig) GetEnabled() bool

func (*PredictRequestResponseLoggingConfig) GetSamplingRate

func (x *PredictRequestResponseLoggingConfig) GetSamplingRate() float64

func (*PredictRequestResponseLoggingConfig) ProtoMessage

func (*PredictRequestResponseLoggingConfig) ProtoMessage()

func (*PredictRequestResponseLoggingConfig) ProtoReflect

func (x *PredictRequestResponseLoggingConfig) ProtoReflect() protoreflect.Message

func (*PredictRequestResponseLoggingConfig) Reset

func (x *PredictRequestResponseLoggingConfig) Reset()

func (*PredictRequestResponseLoggingConfig) String

func (x *PredictRequestResponseLoggingConfig) String() string

PredictResponse

type PredictResponse struct {

	// The predictions that are the output of the predictions call.
	// The schema of any single prediction may be specified via Endpoint's
	// DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
	// [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
	Predictions []*structpb.Value `protobuf:"bytes,1,rep,name=predictions,proto3" json:"predictions,omitempty"`
	// ID of the Endpoint's DeployedModel that served this prediction.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// Output only. The resource name of the Model which is deployed as the
	// DeployedModel that this prediction hits.
	Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
	// Output only. The version ID of the Model which is deployed as the
	// DeployedModel that this prediction hits.
	ModelVersionId string `protobuf:"bytes,5,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
	// Output only. The [display
	// name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
	// deployed as the DeployedModel that this prediction hits.
	ModelDisplayName string `protobuf:"bytes,4,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].

func (*PredictResponse) Descriptor

func (*PredictResponse) Descriptor() ([]byte, []int)

Deprecated: Use PredictResponse.ProtoReflect.Descriptor instead.

func (*PredictResponse) GetDeployedModelId

func (x *PredictResponse) GetDeployedModelId() string

func (*PredictResponse) GetModel

func (x *PredictResponse) GetModel() string

func (*PredictResponse) GetModelDisplayName

func (x *PredictResponse) GetModelDisplayName() string

func (*PredictResponse) GetModelVersionId

func (x *PredictResponse) GetModelVersionId() string

func (*PredictResponse) GetPredictions

func (x *PredictResponse) GetPredictions() []*structpb.Value

func (*PredictResponse) ProtoMessage

func (*PredictResponse) ProtoMessage()

func (*PredictResponse) ProtoReflect

func (x *PredictResponse) ProtoReflect() protoreflect.Message

func (*PredictResponse) Reset

func (x *PredictResponse) Reset()

func (*PredictResponse) String

func (x *PredictResponse) String() string

PredictSchemata

type PredictSchemata struct {

	// Immutable. Points to a YAML file stored on Google Cloud Storage describing
	// the format of a single instance, which are used in
	// [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
	// [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
	// and
	// [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	InstanceSchemaUri string `protobuf:"bytes,1,opt,name=instance_schema_uri,json=instanceSchemaUri,proto3" json:"instance_schema_uri,omitempty"`
	// Immutable. Points to a YAML file stored on Google Cloud Storage describing
	// the parameters of prediction and explanation via
	// [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
	// [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
	// and
	// [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI, if no
	// parameters are supported, then it is set to an empty string.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	ParametersSchemaUri string `protobuf:"bytes,2,opt,name=parameters_schema_uri,json=parametersSchemaUri,proto3" json:"parameters_schema_uri,omitempty"`
	// Immutable. Points to a YAML file stored on Google Cloud Storage describing
	// the format of a single prediction produced by this Model, which are
	// returned via
	// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
	// [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
	// and
	// [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	PredictionSchemaUri string `protobuf:"bytes,3,opt,name=prediction_schema_uri,json=predictionSchemaUri,proto3" json:"prediction_schema_uri,omitempty"`
	// contains filtered or unexported fields
}

Contains the schemata used in Model's predictions and explanations via [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain] and [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].

func (*PredictSchemata) Descriptor

func (*PredictSchemata) Descriptor() ([]byte, []int)

Deprecated: Use PredictSchemata.ProtoReflect.Descriptor instead.

func (*PredictSchemata) GetInstanceSchemaUri

func (x *PredictSchemata) GetInstanceSchemaUri() string

func (*PredictSchemata) GetParametersSchemaUri

func (x *PredictSchemata) GetParametersSchemaUri() string

func (*PredictSchemata) GetPredictionSchemaUri

func (x *PredictSchemata) GetPredictionSchemaUri() string

func (*PredictSchemata) ProtoMessage

func (*PredictSchemata) ProtoMessage()

func (*PredictSchemata) ProtoReflect

func (x *PredictSchemata) ProtoReflect() protoreflect.Message

func (*PredictSchemata) Reset

func (x *PredictSchemata) Reset()

func (*PredictSchemata) String

func (x *PredictSchemata) String() string

PredictionServiceClient

type PredictionServiceClient interface {
	// Perform an online prediction.
	Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, error)
	// Perform an online prediction with an arbitrary HTTP payload.
	//
	// The response includes the following HTTP headers:
	//
	// * `X-Vertex-AI-Endpoint-Id`: ID of the
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
	// prediction.
	//
	// * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
	// prediction.
	RawPredict(ctx context.Context, in *RawPredictRequest, opts ...grpc.CallOption) (*httpbody.HttpBody, error)
	// Perform an online explanation.
	//
	// If
	// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
	// is specified, the corresponding DeployModel must have
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// populated. If
	// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
	// is not specified, all DeployedModels must have
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// populated. Only deployed AutoML tabular Models have
	// explanation_spec.
	Explain(ctx context.Context, in *ExplainRequest, opts ...grpc.CallOption) (*ExplainResponse, error)
}

PredictionServiceClient is the client API for PredictionService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewPredictionServiceClient

func NewPredictionServiceClient(cc grpc.ClientConnInterface) PredictionServiceClient

PredictionServiceServer

type PredictionServiceServer interface {
	// Perform an online prediction.
	Predict(context.Context, *PredictRequest) (*PredictResponse, error)
	// Perform an online prediction with an arbitrary HTTP payload.
	//
	// The response includes the following HTTP headers:
	//
	// * `X-Vertex-AI-Endpoint-Id`: ID of the
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
	// prediction.
	//
	// * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
	// prediction.
	RawPredict(context.Context, *RawPredictRequest) (*httpbody.HttpBody, error)
	// Perform an online explanation.
	//
	// If
	// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
	// is specified, the corresponding DeployModel must have
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// populated. If
	// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
	// is not specified, all DeployedModels must have
	// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
	// populated. Only deployed AutoML tabular Models have
	// explanation_spec.
	Explain(context.Context, *ExplainRequest) (*ExplainResponse, error)
}

PredictionServiceServer is the server API for PredictionService service.

PrivateEndpoints

type PrivateEndpoints struct {

	// Output only. Http(s) path to send prediction requests.
	PredictHttpUri string `protobuf:"bytes,1,opt,name=predict_http_uri,json=predictHttpUri,proto3" json:"predict_http_uri,omitempty"`
	// Output only. Http(s) path to send explain requests.
	ExplainHttpUri string `protobuf:"bytes,2,opt,name=explain_http_uri,json=explainHttpUri,proto3" json:"explain_http_uri,omitempty"`
	// Output only. Http(s) path to send health check requests.
	HealthHttpUri string `protobuf:"bytes,3,opt,name=health_http_uri,json=healthHttpUri,proto3" json:"health_http_uri,omitempty"`
	// Output only. The name of the service attachment resource. Populated if
	// private service connect is enabled.
	ServiceAttachment string `protobuf:"bytes,4,opt,name=service_attachment,json=serviceAttachment,proto3" json:"service_attachment,omitempty"`
	// contains filtered or unexported fields
}

PrivateEndpoints proto is used to provide paths for users to send requests privately. To send request via private service access, use predict_http_uri, explain_http_uri or health_http_uri. To send request via private service connect, use service_attachment.

func (*PrivateEndpoints) Descriptor

func (*PrivateEndpoints) Descriptor() ([]byte, []int)

Deprecated: Use PrivateEndpoints.ProtoReflect.Descriptor instead.

func (*PrivateEndpoints) GetExplainHttpUri

func (x *PrivateEndpoints) GetExplainHttpUri() string

func (*PrivateEndpoints) GetHealthHttpUri

func (x *PrivateEndpoints) GetHealthHttpUri() string

func (*PrivateEndpoints) GetPredictHttpUri

func (x *PrivateEndpoints) GetPredictHttpUri() string

func (*PrivateEndpoints) GetServiceAttachment

func (x *PrivateEndpoints) GetServiceAttachment() string

func (*PrivateEndpoints) ProtoMessage

func (*PrivateEndpoints) ProtoMessage()

func (*PrivateEndpoints) ProtoReflect

func (x *PrivateEndpoints) ProtoReflect() protoreflect.Message

func (*PrivateEndpoints) Reset

func (x *PrivateEndpoints) Reset()

func (*PrivateEndpoints) String

func (x *PrivateEndpoints) String() string

PrivateServiceConnectConfig

type PrivateServiceConnectConfig struct {
	EnablePrivateServiceConnect bool "" /* 147 byte string literal not displayed */

	ProjectAllowlist []string `protobuf:"bytes,2,rep,name=project_allowlist,json=projectAllowlist,proto3" json:"project_allowlist,omitempty"`

}

Represents configuration for private service connect.

func (*PrivateServiceConnectConfig) Descriptor

func (*PrivateServiceConnectConfig) Descriptor() ([]byte, []int)

Deprecated: Use PrivateServiceConnectConfig.ProtoReflect.Descriptor instead.

func (*PrivateServiceConnectConfig) GetEnablePrivateServiceConnect

func (x *PrivateServiceConnectConfig) GetEnablePrivateServiceConnect() bool

func (*PrivateServiceConnectConfig) GetProjectAllowlist

func (x *PrivateServiceConnectConfig) GetProjectAllowlist() []string

func (*PrivateServiceConnectConfig) ProtoMessage

func (*PrivateServiceConnectConfig) ProtoMessage()

func (*PrivateServiceConnectConfig) ProtoReflect

func (x *PrivateServiceConnectConfig) ProtoReflect() protoreflect.Message

func (*PrivateServiceConnectConfig) Reset

func (x *PrivateServiceConnectConfig) Reset()

func (*PrivateServiceConnectConfig) String

func (x *PrivateServiceConnectConfig) String() string

PurgeArtifactsMetadata

type PurgeArtifactsMetadata struct {

	// Operation metadata for purging Artifacts.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].

func (*PurgeArtifactsMetadata) Descriptor

func (*PurgeArtifactsMetadata) Descriptor() ([]byte, []int)

Deprecated: Use PurgeArtifactsMetadata.ProtoReflect.Descriptor instead.

func (*PurgeArtifactsMetadata) GetGenericMetadata

func (x *PurgeArtifactsMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*PurgeArtifactsMetadata) ProtoMessage

func (*PurgeArtifactsMetadata) ProtoMessage()

func (*PurgeArtifactsMetadata) ProtoReflect

func (x *PurgeArtifactsMetadata) ProtoReflect() protoreflect.Message

func (*PurgeArtifactsMetadata) Reset

func (x *PurgeArtifactsMetadata) Reset()

func (*PurgeArtifactsMetadata) String

func (x *PurgeArtifactsMetadata) String() string

PurgeArtifactsRequest

type PurgeArtifactsRequest struct {

	// Required. The metadata store to purge Artifacts from.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. A required filter matching the Artifacts to be purged.
	// E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" filter="">string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. Flag to indicate to actually perform the purge.
	// If `force` is set to false, the method will return a sample of
	// Artifact names that would be deleted.
	Force bool `protobuf:"varint,3,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].

func (*PurgeArtifactsRequest) Descriptor

func (*PurgeArtifactsRequest) Descriptor() ([]byte, []int)

Deprecated: Use PurgeArtifactsRequest.ProtoReflect.Descriptor instead.

func (*PurgeArtifactsRequest) GetFilter

func (x *PurgeArtifactsRequest) GetFilter() string

func (*PurgeArtifactsRequest) GetForce

func (x *PurgeArtifactsRequest) GetForce() bool

func (*PurgeArtifactsRequest) GetParent

func (x *PurgeArtifactsRequest) GetParent() string

func (*PurgeArtifactsRequest) ProtoMessage

func (*PurgeArtifactsRequest) ProtoMessage()

func (*PurgeArtifactsRequest) ProtoReflect

func (x *PurgeArtifactsRequest) ProtoReflect() protoreflect.Message

func (*PurgeArtifactsRequest) Reset

func (x *PurgeArtifactsRequest) Reset()

func (*PurgeArtifactsRequest) String

func (x *PurgeArtifactsRequest) String() string

PurgeArtifactsResponse

type PurgeArtifactsResponse struct {

	// The number of Artifacts that this request deleted (or, if `force` is false,
	// the number of Artifacts that will be deleted). This can be an estimate.
	PurgeCount int64 `protobuf:"varint,1,opt,name=purge_count,json=purgeCount,proto3" json:"purge_count,omitempty"`
	// A sample of the Artifact names that will be deleted.
	// Only populated if `force` is set to false. The maximum number of samples is
	// 100 (it is possible to return fewer).
	PurgeSample []string `protobuf:"bytes,2,rep,name=purge_sample,json=purgeSample,proto3" json:"purge_sample,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].

func (*PurgeArtifactsResponse) Descriptor

func (*PurgeArtifactsResponse) Descriptor() ([]byte, []int)

Deprecated: Use PurgeArtifactsResponse.ProtoReflect.Descriptor instead.

func (*PurgeArtifactsResponse) GetPurgeCount

func (x *PurgeArtifactsResponse) GetPurgeCount() int64

func (*PurgeArtifactsResponse) GetPurgeSample

func (x *PurgeArtifactsResponse) GetPurgeSample() []string

func (*PurgeArtifactsResponse) ProtoMessage

func (*PurgeArtifactsResponse) ProtoMessage()

func (*PurgeArtifactsResponse) ProtoReflect

func (x *PurgeArtifactsResponse) ProtoReflect() protoreflect.Message

func (*PurgeArtifactsResponse) Reset

func (x *PurgeArtifactsResponse) Reset()

func (*PurgeArtifactsResponse) String

func (x *PurgeArtifactsResponse) String() string

PurgeContextsMetadata

type PurgeContextsMetadata struct {

	// Operation metadata for purging Contexts.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].

func (*PurgeContextsMetadata) Descriptor

func (*PurgeContextsMetadata) Descriptor() ([]byte, []int)

Deprecated: Use PurgeContextsMetadata.ProtoReflect.Descriptor instead.

func (*PurgeContextsMetadata) GetGenericMetadata

func (x *PurgeContextsMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*PurgeContextsMetadata) ProtoMessage

func (*PurgeContextsMetadata) ProtoMessage()

func (*PurgeContextsMetadata) ProtoReflect

func (x *PurgeContextsMetadata) ProtoReflect() protoreflect.Message

func (*PurgeContextsMetadata) Reset

func (x *PurgeContextsMetadata) Reset()

func (*PurgeContextsMetadata) String

func (x *PurgeContextsMetadata) String() string

PurgeContextsRequest

type PurgeContextsRequest struct {

	// Required. The metadata store to purge Contexts from.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. A required filter matching the Contexts to be purged.
	// E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" filter="">string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. Flag to indicate to actually perform the purge.
	// If `force` is set to false, the method will return a sample of
	// Context names that would be deleted.
	Force bool `protobuf:"varint,3,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].

func (*PurgeContextsRequest) Descriptor

func (*PurgeContextsRequest) Descriptor() ([]byte, []int)

Deprecated: Use PurgeContextsRequest.ProtoReflect.Descriptor instead.

func (*PurgeContextsRequest) GetFilter

func (x *PurgeContextsRequest) GetFilter() string

func (*PurgeContextsRequest) GetForce

func (x *PurgeContextsRequest) GetForce() bool

func (*PurgeContextsRequest) GetParent

func (x *PurgeContextsRequest) GetParent() string

func (*PurgeContextsRequest) ProtoMessage

func (*PurgeContextsRequest) ProtoMessage()

func (*PurgeContextsRequest) ProtoReflect

func (x *PurgeContextsRequest) ProtoReflect() protoreflect.Message

func (*PurgeContextsRequest) Reset

func (x *PurgeContextsRequest) Reset()

func (*PurgeContextsRequest) String

func (x *PurgeContextsRequest) String() string

PurgeContextsResponse

type PurgeContextsResponse struct {

	// The number of Contexts that this request deleted (or, if `force` is false,
	// the number of Contexts that will be deleted). This can be an estimate.
	PurgeCount int64 `protobuf:"varint,1,opt,name=purge_count,json=purgeCount,proto3" json:"purge_count,omitempty"`
	// A sample of the Context names that will be deleted.
	// Only populated if `force` is set to false. The maximum number of samples is
	// 100 (it is possible to return fewer).
	PurgeSample []string `protobuf:"bytes,2,rep,name=purge_sample,json=purgeSample,proto3" json:"purge_sample,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].

func (*PurgeContextsResponse) Descriptor

func (*PurgeContextsResponse) Descriptor() ([]byte, []int)

Deprecated: Use PurgeContextsResponse.ProtoReflect.Descriptor instead.

func (*PurgeContextsResponse) GetPurgeCount

func (x *PurgeContextsResponse) GetPurgeCount() int64

func (*PurgeContextsResponse) GetPurgeSample

func (x *PurgeContextsResponse) GetPurgeSample() []string

func (*PurgeContextsResponse) ProtoMessage

func (*PurgeContextsResponse) ProtoMessage()

func (*PurgeContextsResponse) ProtoReflect

func (x *PurgeContextsResponse) ProtoReflect() protoreflect.Message

func (*PurgeContextsResponse) Reset

func (x *PurgeContextsResponse) Reset()

func (*PurgeContextsResponse) String

func (x *PurgeContextsResponse) String() string

PurgeExecutionsMetadata

type PurgeExecutionsMetadata struct {

	// Operation metadata for purging Executions.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].

func (*PurgeExecutionsMetadata) Descriptor

func (*PurgeExecutionsMetadata) Descriptor() ([]byte, []int)

Deprecated: Use PurgeExecutionsMetadata.ProtoReflect.Descriptor instead.

func (*PurgeExecutionsMetadata) GetGenericMetadata

func (x *PurgeExecutionsMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*PurgeExecutionsMetadata) ProtoMessage

func (*PurgeExecutionsMetadata) ProtoMessage()

func (*PurgeExecutionsMetadata) ProtoReflect

func (x *PurgeExecutionsMetadata) ProtoReflect() protoreflect.Message

func (*PurgeExecutionsMetadata) Reset

func (x *PurgeExecutionsMetadata) Reset()

func (*PurgeExecutionsMetadata) String

func (x *PurgeExecutionsMetadata) String() string

PurgeExecutionsRequest

type PurgeExecutionsRequest struct {

	// Required. The metadata store to purge Executions from.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. A required filter matching the Executions to be purged.
	// E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" filter="">string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. Flag to indicate to actually perform the purge.
	// If `force` is set to false, the method will return a sample of
	// Execution names that would be deleted.
	Force bool `protobuf:"varint,3,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].

func (*PurgeExecutionsRequest) Descriptor

func (*PurgeExecutionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use PurgeExecutionsRequest.ProtoReflect.Descriptor instead.

func (*PurgeExecutionsRequest) GetFilter

func (x *PurgeExecutionsRequest) GetFilter() string

func (*PurgeExecutionsRequest) GetForce

func (x *PurgeExecutionsRequest) GetForce() bool

func (*PurgeExecutionsRequest) GetParent

func (x *PurgeExecutionsRequest) GetParent() string

func (*PurgeExecutionsRequest) ProtoMessage

func (*PurgeExecutionsRequest) ProtoMessage()

func (*PurgeExecutionsRequest) ProtoReflect

func (x *PurgeExecutionsRequest) ProtoReflect() protoreflect.Message

func (*PurgeExecutionsRequest) Reset

func (x *PurgeExecutionsRequest) Reset()

func (*PurgeExecutionsRequest) String

func (x *PurgeExecutionsRequest) String() string

PurgeExecutionsResponse

type PurgeExecutionsResponse struct {

	// The number of Executions that this request deleted (or, if `force` is
	// false, the number of Executions that will be deleted). This can be an
	// estimate.
	PurgeCount int64 `protobuf:"varint,1,opt,name=purge_count,json=purgeCount,proto3" json:"purge_count,omitempty"`
	// A sample of the Execution names that will be deleted.
	// Only populated if `force` is set to false. The maximum number of samples is
	// 100 (it is possible to return fewer).
	PurgeSample []string `protobuf:"bytes,2,rep,name=purge_sample,json=purgeSample,proto3" json:"purge_sample,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].

func (*PurgeExecutionsResponse) Descriptor

func (*PurgeExecutionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use PurgeExecutionsResponse.ProtoReflect.Descriptor instead.

func (*PurgeExecutionsResponse) GetPurgeCount

func (x *PurgeExecutionsResponse) GetPurgeCount() int64

func (*PurgeExecutionsResponse) GetPurgeSample

func (x *PurgeExecutionsResponse) GetPurgeSample() []string

func (*PurgeExecutionsResponse) ProtoMessage

func (*PurgeExecutionsResponse) ProtoMessage()

func (*PurgeExecutionsResponse) ProtoReflect

func (x *PurgeExecutionsResponse) ProtoReflect() protoreflect.Message

func (*PurgeExecutionsResponse) Reset

func (x *PurgeExecutionsResponse) Reset()

func (*PurgeExecutionsResponse) String

func (x *PurgeExecutionsResponse) String() string

PythonPackageSpec

type PythonPackageSpec struct {

	// Required. The URI of a container image in Artifact Registry that will run
	// the provided Python package. Vertex AI provides a wide range of executor
	// images with pre-installed packages to meet users' various use cases. See
	// the list of [pre-built containers for
	// training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
	// You must use an image from this list.
	ExecutorImageUri string `protobuf:"bytes,1,opt,name=executor_image_uri,json=executorImageUri,proto3" json:"executor_image_uri,omitempty"`
	// Required. The Google Cloud Storage location of the Python package files
	// which are the training program and its dependent packages. The maximum
	// number of package URIs is 100.
	PackageUris []string `protobuf:"bytes,2,rep,name=package_uris,json=packageUris,proto3" json:"package_uris,omitempty"`
	// Required. The Python module name to run after installing the packages.
	PythonModule string `protobuf:"bytes,3,opt,name=python_module,json=pythonModule,proto3" json:"python_module,omitempty"`
	// Command line arguments to be passed to the Python task.
	Args []string `protobuf:"bytes,4,rep,name=args,proto3" json:"args,omitempty"`
	// Environment variables to be passed to the python module.
	// Maximum limit is 100.
	Env []*EnvVar `protobuf:"bytes,5,rep,name=env,proto3" json:"env,omitempty"`
	// contains filtered or unexported fields
}

The spec of a Python packaged code.

func (*PythonPackageSpec) Descriptor

func (*PythonPackageSpec) Descriptor() ([]byte, []int)

Deprecated: Use PythonPackageSpec.ProtoReflect.Descriptor instead.

func (*PythonPackageSpec) GetArgs

func (x *PythonPackageSpec) GetArgs() []string

func (*PythonPackageSpec) GetEnv

func (x *PythonPackageSpec) GetEnv() []*EnvVar

func (*PythonPackageSpec) GetExecutorImageUri

func (x *PythonPackageSpec) GetExecutorImageUri() string

func (*PythonPackageSpec) GetPackageUris

func (x *PythonPackageSpec) GetPackageUris() []string

func (*PythonPackageSpec) GetPythonModule

func (x *PythonPackageSpec) GetPythonModule() string

func (*PythonPackageSpec) ProtoMessage

func (*PythonPackageSpec) ProtoMessage()

func (*PythonPackageSpec) ProtoReflect

func (x *PythonPackageSpec) ProtoReflect() protoreflect.Message

func (*PythonPackageSpec) Reset

func (x *PythonPackageSpec) Reset()

func (*PythonPackageSpec) String

func (x *PythonPackageSpec) String() string

QueryArtifactLineageSubgraphRequest

type QueryArtifactLineageSubgraphRequest struct {

	// Required. The resource name of the Artifact whose Lineage needs to be
	// retrieved as a LineageSubgraph. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	//
	// The request may error with FAILED_PRECONDITION if the number of Artifacts,
	// the number of Executions, or the number of Events that would be returned
	// for the Context exceeds 1000.
	Artifact string `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// Specifies the size of the lineage graph in terms of number of hops from the
	// specified artifact.
	// Negative Value: INVALID_ARGUMENT error is returned
	// 0: Only input artifact is returned.
	// No value: Transitive closure is performed to return the complete graph.
	MaxHops int32 `protobuf:"varint,2,opt,name=max_hops,json=maxHops,proto3" json:"max_hops,omitempty"`
	// Filter specifying the boolean condition for the Artifacts to satisfy in
	// order to be part of the Lineage Subgraph.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// The supported set of filters include the following:
	//
	// *  **Attribute filtering**:
	//    For example: `display_name = "test"`
	//    Supported fields include: `name`, `display_name`, `uri`, `state`,
	//    `schema_title`, `create_time`, and `update_time`.
	//    Time fields, such as `create_time` and `update_time`, require values
	//    specified in RFC-3339 format.
	//    For example: `create_time = "2020-11-19T11:30:00-04:00"`
	// *  **Metadata field**:
	//    To filter on metadata fields use traversal operation as follows:
	//    `metadata.

Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].

func (*QueryArtifactLineageSubgraphRequest) Descriptor

func (*QueryArtifactLineageSubgraphRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryArtifactLineageSubgraphRequest.ProtoReflect.Descriptor instead.

func (*QueryArtifactLineageSubgraphRequest) GetArtifact

func (x *QueryArtifactLineageSubgraphRequest) GetArtifact() string

func (*QueryArtifactLineageSubgraphRequest) GetFilter

func (x *QueryArtifactLineageSubgraphRequest) GetFilter() string

func (*QueryArtifactLineageSubgraphRequest) GetMaxHops

func (x *QueryArtifactLineageSubgraphRequest) GetMaxHops() int32

func (*QueryArtifactLineageSubgraphRequest) ProtoMessage

func (*QueryArtifactLineageSubgraphRequest) ProtoMessage()

func (*QueryArtifactLineageSubgraphRequest) ProtoReflect

func (x *QueryArtifactLineageSubgraphRequest) ProtoReflect() protoreflect.Message

func (*QueryArtifactLineageSubgraphRequest) Reset

func (x *QueryArtifactLineageSubgraphRequest) Reset()

func (*QueryArtifactLineageSubgraphRequest) String

func (x *QueryArtifactLineageSubgraphRequest) String() string

QueryContextLineageSubgraphRequest

type QueryContextLineageSubgraphRequest struct {

	// Required. The resource name of the Context whose Artifacts and Executions
	// should be retrieved as a LineageSubgraph.
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	//
	// The request may error with FAILED_PRECONDITION if the number of Artifacts,
	// the number of Executions, or the number of Events that would be returned
	// for the Context exceeds 1000.
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].

func (*QueryContextLineageSubgraphRequest) Descriptor

func (*QueryContextLineageSubgraphRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryContextLineageSubgraphRequest.ProtoReflect.Descriptor instead.

func (*QueryContextLineageSubgraphRequest) GetContext

func (x *QueryContextLineageSubgraphRequest) GetContext() string

func (*QueryContextLineageSubgraphRequest) ProtoMessage

func (*QueryContextLineageSubgraphRequest) ProtoMessage()

func (*QueryContextLineageSubgraphRequest) ProtoReflect

func (x *QueryContextLineageSubgraphRequest) ProtoReflect() protoreflect.Message

func (*QueryContextLineageSubgraphRequest) Reset

func (x *QueryContextLineageSubgraphRequest) Reset()

func (*QueryContextLineageSubgraphRequest) String

func (x *QueryContextLineageSubgraphRequest) String() string

QueryExecutionInputsAndOutputsRequest

type QueryExecutionInputsAndOutputsRequest struct {

	// Required. The resource name of the Execution whose input and output
	// Artifacts should be retrieved as a LineageSubgraph. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Execution string `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].

func (*QueryExecutionInputsAndOutputsRequest) Descriptor

func (*QueryExecutionInputsAndOutputsRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryExecutionInputsAndOutputsRequest.ProtoReflect.Descriptor instead.

func (*QueryExecutionInputsAndOutputsRequest) GetExecution

func (x *QueryExecutionInputsAndOutputsRequest) GetExecution() string

func (*QueryExecutionInputsAndOutputsRequest) ProtoMessage

func (*QueryExecutionInputsAndOutputsRequest) ProtoMessage()

func (*QueryExecutionInputsAndOutputsRequest) ProtoReflect

func (x *QueryExecutionInputsAndOutputsRequest) ProtoReflect() protoreflect.Message

func (*QueryExecutionInputsAndOutputsRequest) Reset

func (x *QueryExecutionInputsAndOutputsRequest) Reset()

func (*QueryExecutionInputsAndOutputsRequest) String

func (x *QueryExecutionInputsAndOutputsRequest) String() string

RawPredictRequest

type RawPredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// The prediction input. Supports HTTP headers and arbitrary data payload.
	//
	// A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
	// upper limit on the number of instances it supports per request. When this
	// limit it is exceeded for an AutoML model, the
	// [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
	// method returns an error. When this limit is exceeded for a custom-trained
	// model, the behavior varies depending on the model.
	//
	// You can specify the schema for each instance in the
	// [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
	// field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
	// schema applies when you deploy the `Model` as a `DeployedModel` to an
	// [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
	// method.
	HttpBody *httpbody.HttpBody `protobuf:"bytes,2,opt,name=http_body,json=httpBody,proto3" json:"http_body,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].

func (*RawPredictRequest) Descriptor

func (*RawPredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use RawPredictRequest.ProtoReflect.Descriptor instead.

func (*RawPredictRequest) GetEndpoint

func (x *RawPredictRequest) GetEndpoint() string

func (*RawPredictRequest) GetHttpBody

func (x *RawPredictRequest) GetHttpBody() *httpbody.HttpBody

func (*RawPredictRequest) ProtoMessage

func (*RawPredictRequest) ProtoMessage()

func (*RawPredictRequest) ProtoReflect

func (x *RawPredictRequest) ProtoReflect() protoreflect.Message

func (*RawPredictRequest) Reset

func (x *RawPredictRequest) Reset()

func (*RawPredictRequest) String

func (x *RawPredictRequest) String() string

ReadFeatureValuesRequest

type ReadFeatureValuesRequest struct {

	// Required. The resource name of the EntityType for the entity being read.
	// Value format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
	// For example, for a machine learning model predicting user clicks on a
	// website, an EntityType ID could be `user`.
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. ID for a specific entity. For example,
	// for a machine learning model predicting user clicks on a website, an entity
	// ID could be `user_123`.
	EntityId string `protobuf:"bytes,2,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
	// Required. Selector choosing Features of the target EntityType.
	FeatureSelector *FeatureSelector `protobuf:"bytes,3,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].

func (*ReadFeatureValuesRequest) Descriptor

func (*ReadFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesRequest) GetEntityId

func (x *ReadFeatureValuesRequest) GetEntityId() string

func (*ReadFeatureValuesRequest) GetEntityType

func (x *ReadFeatureValuesRequest) GetEntityType() string

func (*ReadFeatureValuesRequest) GetFeatureSelector

func (x *ReadFeatureValuesRequest) GetFeatureSelector() *FeatureSelector

func (*ReadFeatureValuesRequest) ProtoMessage

func (*ReadFeatureValuesRequest) ProtoMessage()

func (*ReadFeatureValuesRequest) ProtoReflect

func (x *ReadFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesRequest) Reset

func (x *ReadFeatureValuesRequest) Reset()

func (*ReadFeatureValuesRequest) String

func (x *ReadFeatureValuesRequest) String() string

ReadFeatureValuesResponse

type ReadFeatureValuesResponse struct {

	// Response header.
	Header *ReadFeatureValuesResponse_Header `protobuf:"bytes,1,opt,name=header,proto3" json:"header,omitempty"`
	// Entity view with Feature values. This may be the entity in the
	// Featurestore if values for all Features were requested, or a projection
	// of the entity in the Featurestore if values for only some Features were
	// requested.
	EntityView *ReadFeatureValuesResponse_EntityView `protobuf:"bytes,2,opt,name=entity_view,json=entityView,proto3" json:"entity_view,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].

func (*ReadFeatureValuesResponse) Descriptor

func (*ReadFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse) GetEntityView

func (x *ReadFeatureValuesResponse) GetEntityView() *ReadFeatureValuesResponse_EntityView

func (*ReadFeatureValuesResponse) GetHeader

func (x *ReadFeatureValuesResponse) GetHeader() *ReadFeatureValuesResponse_Header

func (*ReadFeatureValuesResponse) ProtoMessage

func (*ReadFeatureValuesResponse) ProtoMessage()

func (*ReadFeatureValuesResponse) ProtoReflect

func (x *ReadFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse) Reset

func (x *ReadFeatureValuesResponse) Reset()

func (*ReadFeatureValuesResponse) String

func (x *ReadFeatureValuesResponse) String() string

ReadFeatureValuesResponse_EntityView

type ReadFeatureValuesResponse_EntityView struct {

	// ID of the requested entity.
	EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
	// Each piece of data holds the k
	// requested values for one requested Feature. If no values
	// for the requested Feature exist, the corresponding cell will be empty.
	// This has the same size and is in the same order as the features from the
	// header
	// [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
	Data []*ReadFeatureValuesResponse_EntityView_Data `protobuf:"bytes,2,rep,name=data,proto3" json:"data,omitempty"`
	// contains filtered or unexported fields
}

Entity view with Feature values.

func (*ReadFeatureValuesResponse_EntityView) Descriptor

func (*ReadFeatureValuesResponse_EntityView) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_EntityView.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_EntityView) GetData

func (x *ReadFeatureValuesResponse_EntityView) GetData() []*ReadFeatureValuesResponse_EntityView_Data

func (*ReadFeatureValuesResponse_EntityView) GetEntityId

func (x *ReadFeatureValuesResponse_EntityView) GetEntityId() string

func (*ReadFeatureValuesResponse_EntityView) ProtoMessage

func (*ReadFeatureValuesResponse_EntityView) ProtoMessage()

func (*ReadFeatureValuesResponse_EntityView) ProtoReflect

func (x *ReadFeatureValuesResponse_EntityView) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_EntityView) Reset

func (x *ReadFeatureValuesResponse_EntityView) Reset()

func (*ReadFeatureValuesResponse_EntityView) String

func (x *ReadFeatureValuesResponse_EntityView) String() string

ReadFeatureValuesResponse_EntityView_Data

type ReadFeatureValuesResponse_EntityView_Data struct {

	// Types that are assignable to Data:
	//	*ReadFeatureValuesResponse_EntityView_Data_Value
	//	*ReadFeatureValuesResponse_EntityView_Data_Values
	Data isReadFeatureValuesResponse_EntityView_Data_Data `protobuf_oneof:"data"`
	// contains filtered or unexported fields
}

Container to hold value(s), successive in time, for one Feature from the request.

func (*ReadFeatureValuesResponse_EntityView_Data) Descriptor

func (*ReadFeatureValuesResponse_EntityView_Data) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_EntityView_Data.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_EntityView_Data) GetData

func (m *ReadFeatureValuesResponse_EntityView_Data) GetData() isReadFeatureValuesResponse_EntityView_Data_Data

func (*ReadFeatureValuesResponse_EntityView_Data) GetValue

func (x *ReadFeatureValuesResponse_EntityView_Data) GetValue() *FeatureValue

func (*ReadFeatureValuesResponse_EntityView_Data) GetValues

func (x *ReadFeatureValuesResponse_EntityView_Data) GetValues() *FeatureValueList

func (*ReadFeatureValuesResponse_EntityView_Data) ProtoMessage

func (*ReadFeatureValuesResponse_EntityView_Data) ProtoMessage()

func (*ReadFeatureValuesResponse_EntityView_Data) ProtoReflect

func (x *ReadFeatureValuesResponse_EntityView_Data) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_EntityView_Data) Reset

func (x *ReadFeatureValuesResponse_EntityView_Data) Reset()

func (*ReadFeatureValuesResponse_EntityView_Data) String

func (x *ReadFeatureValuesResponse_EntityView_Data) String() string

ReadFeatureValuesResponse_EntityView_Data_Value

type ReadFeatureValuesResponse_EntityView_Data_Value struct {
	// Feature value if a single value is requested.
	Value *FeatureValue `protobuf:"bytes,1,opt,name=value,proto3,oneof"`
}

ReadFeatureValuesResponse_EntityView_Data_Values

type ReadFeatureValuesResponse_EntityView_Data_Values struct {
	// Feature values list if values, successive in time, are requested.
	// If the requested number of values is greater than the number of
	// existing Feature values, nonexistent values are omitted instead of
	// being returned as empty.
	Values *FeatureValueList `protobuf:"bytes,2,opt,name=values,proto3,oneof"`
}

ReadFeatureValuesResponse_FeatureDescriptor

type ReadFeatureValuesResponse_FeatureDescriptor struct {

	// Feature ID.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// contains filtered or unexported fields
}

Metadata for requested Features.

func (*ReadFeatureValuesResponse_FeatureDescriptor) Descriptor

func (*ReadFeatureValuesResponse_FeatureDescriptor) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_FeatureDescriptor.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_FeatureDescriptor) GetId

func (x *ReadFeatureValuesResponse_FeatureDescriptor) GetId() string

func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoMessage

func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoMessage()

func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoReflect

func (x *ReadFeatureValuesResponse_FeatureDescriptor) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_FeatureDescriptor) Reset

func (x *ReadFeatureValuesResponse_FeatureDescriptor) Reset()

func (*ReadFeatureValuesResponse_FeatureDescriptor) String

func (x *ReadFeatureValuesResponse_FeatureDescriptor) String() string

ReadFeatureValuesResponse_Header

type ReadFeatureValuesResponse_Header struct {

	// The resource name of the EntityType from the
	// [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
	// Value format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// List of Feature metadata corresponding to each piece of
	// [ReadFeatureValuesResponse.EntityView.data][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.data].
	FeatureDescriptors []*ReadFeatureValuesResponse_FeatureDescriptor `protobuf:"bytes,2,rep,name=feature_descriptors,json=featureDescriptors,proto3" json:"feature_descriptors,omitempty"`
	// contains filtered or unexported fields
}

Response header with metadata for the requested [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type] and Features.

func (*ReadFeatureValuesResponse_Header) Descriptor

func (*ReadFeatureValuesResponse_Header) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_Header.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_Header) GetEntityType

func (x *ReadFeatureValuesResponse_Header) GetEntityType() string

func (*ReadFeatureValuesResponse_Header) GetFeatureDescriptors

func (x *ReadFeatureValuesResponse_Header) GetFeatureDescriptors() []*ReadFeatureValuesResponse_FeatureDescriptor

func (*ReadFeatureValuesResponse_Header) ProtoMessage

func (*ReadFeatureValuesResponse_Header) ProtoMessage()

func (*ReadFeatureValuesResponse_Header) ProtoReflect

func (x *ReadFeatureValuesResponse_Header) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_Header) Reset

func (x *ReadFeatureValuesResponse_Header) Reset()

func (*ReadFeatureValuesResponse_Header) String

func (x *ReadFeatureValuesResponse_Header) String() string

ReadTensorboardBlobDataRequest

type ReadTensorboardBlobDataRequest struct {

	// Required. The resource name of the TensorboardTimeSeries to list Blobs.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TimeSeries string `protobuf:"bytes,1,opt,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
	// IDs of the blobs to read.
	BlobIds []string `protobuf:"bytes,2,rep,name=blob_ids,json=blobIds,proto3" json:"blob_ids,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].

func (*ReadTensorboardBlobDataRequest) Descriptor

func (*ReadTensorboardBlobDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardBlobDataRequest.ProtoReflect.Descriptor instead.

func (*ReadTensorboardBlobDataRequest) GetBlobIds

func (x *ReadTensorboardBlobDataRequest) GetBlobIds() []string

func (*ReadTensorboardBlobDataRequest) GetTimeSeries

func (x *ReadTensorboardBlobDataRequest) GetTimeSeries() string

func (*ReadTensorboardBlobDataRequest) ProtoMessage

func (*ReadTensorboardBlobDataRequest) ProtoMessage()

func (*ReadTensorboardBlobDataRequest) ProtoReflect

func (x *ReadTensorboardBlobDataRequest) ProtoReflect() protoreflect.Message

func (*ReadTensorboardBlobDataRequest) Reset

func (x *ReadTensorboardBlobDataRequest) Reset()

func (*ReadTensorboardBlobDataRequest) String

func (x *ReadTensorboardBlobDataRequest) String() string

ReadTensorboardBlobDataResponse

type ReadTensorboardBlobDataResponse struct {

	// Blob messages containing blob bytes.
	Blobs []*TensorboardBlob `protobuf:"bytes,1,rep,name=blobs,proto3" json:"blobs,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].

func (*ReadTensorboardBlobDataResponse) Descriptor

func (*ReadTensorboardBlobDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardBlobDataResponse.ProtoReflect.Descriptor instead.

func (*ReadTensorboardBlobDataResponse) GetBlobs

func (x *ReadTensorboardBlobDataResponse) GetBlobs() []*TensorboardBlob

func (*ReadTensorboardBlobDataResponse) ProtoMessage

func (*ReadTensorboardBlobDataResponse) ProtoMessage()

func (*ReadTensorboardBlobDataResponse) ProtoReflect

func (x *ReadTensorboardBlobDataResponse) ProtoReflect() protoreflect.Message

func (*ReadTensorboardBlobDataResponse) Reset

func (x *ReadTensorboardBlobDataResponse) Reset()

func (*ReadTensorboardBlobDataResponse) String

func (x *ReadTensorboardBlobDataResponse) String() string

ReadTensorboardTimeSeriesDataRequest

type ReadTensorboardTimeSeriesDataRequest struct {

	// Required. The resource name of the TensorboardTimeSeries to read data from.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TensorboardTimeSeries string `protobuf:"bytes,1,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// The maximum number of TensorboardTimeSeries' data to return.
	//
	// This value should be a positive integer.
	// This value can be set to -1 to return all data.
	MaxDataPoints int32 `protobuf:"varint,2,opt,name=max_data_points,json=maxDataPoints,proto3" json:"max_data_points,omitempty"`
	// Reads the TensorboardTimeSeries' data that match the filter expression.
	Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].

func (*ReadTensorboardTimeSeriesDataRequest) Descriptor

func (*ReadTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.

func (*ReadTensorboardTimeSeriesDataRequest) GetFilter

func (x *ReadTensorboardTimeSeriesDataRequest) GetFilter() string

func (*ReadTensorboardTimeSeriesDataRequest) GetMaxDataPoints

func (x *ReadTensorboardTimeSeriesDataRequest) GetMaxDataPoints() int32

func (*ReadTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries

func (x *ReadTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string

func (*ReadTensorboardTimeSeriesDataRequest) ProtoMessage

func (*ReadTensorboardTimeSeriesDataRequest) ProtoMessage()

func (*ReadTensorboardTimeSeriesDataRequest) ProtoReflect

func (x *ReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message

func (*ReadTensorboardTimeSeriesDataRequest) Reset

func (x *ReadTensorboardTimeSeriesDataRequest) Reset()

func (*ReadTensorboardTimeSeriesDataRequest) String

func (x *ReadTensorboardTimeSeriesDataRequest) String() string

ReadTensorboardTimeSeriesDataResponse

type ReadTensorboardTimeSeriesDataResponse struct {

	// The returned time series data.
	TimeSeriesData *TimeSeriesData `protobuf:"bytes,1,opt,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].

func (*ReadTensorboardTimeSeriesDataResponse) Descriptor

func (*ReadTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.

func (*ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData

func (x *ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() *TimeSeriesData

func (*ReadTensorboardTimeSeriesDataResponse) ProtoMessage

func (*ReadTensorboardTimeSeriesDataResponse) ProtoMessage()

func (*ReadTensorboardTimeSeriesDataResponse) ProtoReflect

func (x *ReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message

func (*ReadTensorboardTimeSeriesDataResponse) Reset

func (x *ReadTensorboardTimeSeriesDataResponse) Reset()

func (*ReadTensorboardTimeSeriesDataResponse) String

func (x *ReadTensorboardTimeSeriesDataResponse) String() string

ReadTensorboardUsageRequest

type ReadTensorboardUsageRequest struct {

	// Required. The name of the Tensorboard resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboardUsage][].

func (*ReadTensorboardUsageRequest) Descriptor

func (*ReadTensorboardUsageRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardUsageRequest.ProtoReflect.Descriptor instead.

func (*ReadTensorboardUsageRequest) GetTensorboard

func (x *ReadTensorboardUsageRequest) GetTensorboard() string

func (*ReadTensorboardUsageRequest) ProtoMessage

func (*ReadTensorboardUsageRequest) ProtoMessage()

func (*ReadTensorboardUsageRequest) ProtoReflect

func (x *ReadTensorboardUsageRequest) ProtoReflect() protoreflect.Message

func (*ReadTensorboardUsageRequest) Reset

func (x *ReadTensorboardUsageRequest) Reset()

func (*ReadTensorboardUsageRequest) String

func (x *ReadTensorboardUsageRequest) String() string

ReadTensorboardUsageResponse

type ReadTensorboardUsageResponse struct {
	MonthlyUsageData map[string]*ReadTensorboardUsageResponse_PerMonthUsageData "" /* 199 byte string literal not displayed */

}

Response message for [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage].

func (*ReadTensorboardUsageResponse) Descriptor

func (*ReadTensorboardUsageResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardUsageResponse.ProtoReflect.Descriptor instead.

func (*ReadTensorboardUsageResponse) GetMonthlyUsageData

func (x *ReadTensorboardUsageResponse) GetMonthlyUsageData() map[string]*ReadTensorboardUsageResponse_PerMonthUsageData

func (*ReadTensorboardUsageResponse) ProtoMessage

func (*ReadTensorboardUsageResponse) ProtoMessage()

func (*ReadTensorboardUsageResponse) ProtoReflect

func (x *ReadTensorboardUsageResponse) ProtoReflect() protoreflect.Message

func (*ReadTensorboardUsageResponse) Reset

func (x *ReadTensorboardUsageResponse) Reset()

func (*ReadTensorboardUsageResponse) String

func (x *ReadTensorboardUsageResponse) String() string

ReadTensorboardUsageResponse_PerMonthUsageData

type ReadTensorboardUsageResponse_PerMonthUsageData struct {

	// Usage data for each user in the given month.
	UserUsageData []*ReadTensorboardUsageResponse_PerUserUsageData `protobuf:"bytes,1,rep,name=user_usage_data,json=userUsageData,proto3" json:"user_usage_data,omitempty"`
	// contains filtered or unexported fields
}

Per month usage data

func (*ReadTensorboardUsageResponse_PerMonthUsageData) Descriptor

func (*ReadTensorboardUsageResponse_PerMonthUsageData) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardUsageResponse_PerMonthUsageData.ProtoReflect.Descriptor instead.

func (*ReadTensorboardUsageResponse_PerMonthUsageData) GetUserUsageData

func (x *ReadTensorboardUsageResponse_PerMonthUsageData) GetUserUsageData() []*ReadTensorboardUsageResponse_PerUserUsageData

func (*ReadTensorboardUsageResponse_PerMonthUsageData) ProtoMessage

func (*ReadTensorboardUsageResponse_PerMonthUsageData) ProtoMessage()

func (*ReadTensorboardUsageResponse_PerMonthUsageData) ProtoReflect

func (x *ReadTensorboardUsageResponse_PerMonthUsageData) ProtoReflect() protoreflect.Message

func (*ReadTensorboardUsageResponse_PerMonthUsageData) Reset

func (x *ReadTensorboardUsageResponse_PerMonthUsageData) Reset()

func (*ReadTensorboardUsageResponse_PerMonthUsageData) String

func (x *ReadTensorboardUsageResponse_PerMonthUsageData) String() string

ReadTensorboardUsageResponse_PerUserUsageData

type ReadTensorboardUsageResponse_PerUserUsageData struct {

	// User's username
	Username string `protobuf:"bytes,1,opt,name=username,proto3" json:"username,omitempty"`
	// Number of times the user has read data within the Tensorboard.
	ViewCount int64 `protobuf:"varint,2,opt,name=view_count,json=viewCount,proto3" json:"view_count,omitempty"`
	// contains filtered or unexported fields
}

Per user usage data.

func (*ReadTensorboardUsageResponse_PerUserUsageData) Descriptor

func (*ReadTensorboardUsageResponse_PerUserUsageData) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardUsageResponse_PerUserUsageData.ProtoReflect.Descriptor instead.

func (*ReadTensorboardUsageResponse_PerUserUsageData) GetUsername

func (x *ReadTensorboardUsageResponse_PerUserUsageData) GetUsername() string

func (*ReadTensorboardUsageResponse_PerUserUsageData) GetViewCount

func (x *ReadTensorboardUsageResponse_PerUserUsageData) GetViewCount() int64

func (*ReadTensorboardUsageResponse_PerUserUsageData) ProtoMessage

func (*ReadTensorboardUsageResponse_PerUserUsageData) ProtoMessage()

func (*ReadTensorboardUsageResponse_PerUserUsageData) ProtoReflect

func (x *ReadTensorboardUsageResponse_PerUserUsageData) ProtoReflect() protoreflect.Message

func (*ReadTensorboardUsageResponse_PerUserUsageData) Reset

func (x *ReadTensorboardUsageResponse_PerUserUsageData) Reset()

func (*ReadTensorboardUsageResponse_PerUserUsageData) String

func (x *ReadTensorboardUsageResponse_PerUserUsageData) String() string

RemoveContextChildrenRequest

type RemoveContextChildrenRequest struct {

	// Required. The resource name of the parent Context.
	//
	// Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// The resource names of the child Contexts.
	ChildContexts []string `protobuf:"bytes,2,rep,name=child_contexts,json=childContexts,proto3" json:"child_contexts,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteContextChildrenRequest][].

func (*RemoveContextChildrenRequest) Descriptor

func (*RemoveContextChildrenRequest) Descriptor() ([]byte, []int)

Deprecated: Use RemoveContextChildrenRequest.ProtoReflect.Descriptor instead.

func (*RemoveContextChildrenRequest) GetChildContexts

func (x *RemoveContextChildrenRequest) GetChildContexts() []string

func (*RemoveContextChildrenRequest) GetContext

func (x *RemoveContextChildrenRequest) GetContext() string

func (*RemoveContextChildrenRequest) ProtoMessage

func (*RemoveContextChildrenRequest) ProtoMessage()

func (*RemoveContextChildrenRequest) ProtoReflect

func (x *RemoveContextChildrenRequest) ProtoReflect() protoreflect.Message

func (*RemoveContextChildrenRequest) Reset

func (x *RemoveContextChildrenRequest) Reset()

func (*RemoveContextChildrenRequest) String

func (x *RemoveContextChildrenRequest) String() string

RemoveContextChildrenResponse

type RemoveContextChildrenResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].

func (*RemoveContextChildrenResponse) Descriptor

func (*RemoveContextChildrenResponse) Descriptor() ([]byte, []int)

Deprecated: Use RemoveContextChildrenResponse.ProtoReflect.Descriptor instead.

func (*RemoveContextChildrenResponse) ProtoMessage

func (*RemoveContextChildrenResponse) ProtoMessage()

func (*RemoveContextChildrenResponse) ProtoReflect

func (x *RemoveContextChildrenResponse) ProtoReflect() protoreflect.Message

func (*RemoveContextChildrenResponse) Reset

func (x *RemoveContextChildrenResponse) Reset()

func (*RemoveContextChildrenResponse) String

func (x *RemoveContextChildrenResponse) String() string

RemoveDatapointsRequest

type RemoveDatapointsRequest struct {

	// Required. The name of the Index resource to be updated.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Index string `protobuf:"bytes,1,opt,name=index,proto3" json:"index,omitempty"`
	// A list of datapoint ids to be deleted.
	DatapointIds []string `protobuf:"bytes,2,rep,name=datapoint_ids,json=datapointIds,proto3" json:"datapoint_ids,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]

func (*RemoveDatapointsRequest) Descriptor

func (*RemoveDatapointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use RemoveDatapointsRequest.ProtoReflect.Descriptor instead.

func (*RemoveDatapointsRequest) GetDatapointIds

func (x *RemoveDatapointsRequest) GetDatapointIds() []string

func (*RemoveDatapointsRequest) GetIndex

func (x *RemoveDatapointsRequest) GetIndex() string

func (*RemoveDatapointsRequest) ProtoMessage

func (*RemoveDatapointsRequest) ProtoMessage()

func (*RemoveDatapointsRequest) ProtoReflect

func (x *RemoveDatapointsRequest) ProtoReflect() protoreflect.Message

func (*RemoveDatapointsRequest) Reset

func (x *RemoveDatapointsRequest) Reset()

func (*RemoveDatapointsRequest) String

func (x *RemoveDatapointsRequest) String() string

RemoveDatapointsResponse

type RemoveDatapointsResponse struct {
	// contains filtered or unexported fields
}

Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]

func (*RemoveDatapointsResponse) Descriptor

func (*RemoveDatapointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use RemoveDatapointsResponse.ProtoReflect.Descriptor instead.

func (*RemoveDatapointsResponse) ProtoMessage

func (*RemoveDatapointsResponse) ProtoMessage()

func (*RemoveDatapointsResponse) ProtoReflect

func (x *RemoveDatapointsResponse) ProtoReflect() protoreflect.Message

func (*RemoveDatapointsResponse) Reset

func (x *RemoveDatapointsResponse) Reset()

func (*RemoveDatapointsResponse) String

func (x *RemoveDatapointsResponse) String() string

ResourcesConsumed

type ResourcesConsumed struct {

	// Output only. The number of replica hours used. Note that many replicas may
	// run in parallel, and additionally any given work may be queued for some
	// time. Therefore this value is not strictly related to wall time.
	ReplicaHours float64 `protobuf:"fixed64,1,opt,name=replica_hours,json=replicaHours,proto3" json:"replica_hours,omitempty"`
	// contains filtered or unexported fields
}

Statistics information about resource consumption.

func (*ResourcesConsumed) Descriptor

func (*ResourcesConsumed) Descriptor() ([]byte, []int)

Deprecated: Use ResourcesConsumed.ProtoReflect.Descriptor instead.

func (*ResourcesConsumed) GetReplicaHours

func (x *ResourcesConsumed) GetReplicaHours() float64

func (*ResourcesConsumed) ProtoMessage

func (*ResourcesConsumed) ProtoMessage()

func (*ResourcesConsumed) ProtoReflect

func (x *ResourcesConsumed) ProtoReflect() protoreflect.Message

func (*ResourcesConsumed) Reset

func (x *ResourcesConsumed) Reset()

func (*ResourcesConsumed) String

func (x *ResourcesConsumed) String() string

ResumeModelDeploymentMonitoringJobRequest

type ResumeModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the ModelDeploymentMonitoringJob to resume.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob].

func (*ResumeModelDeploymentMonitoringJobRequest) Descriptor

func (*ResumeModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use ResumeModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*ResumeModelDeploymentMonitoringJobRequest) GetName

func (x *ResumeModelDeploymentMonitoringJobRequest) GetName() string

func (*ResumeModelDeploymentMonitoringJobRequest) ProtoMessage

func (*ResumeModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*ResumeModelDeploymentMonitoringJobRequest) ProtoReflect

func (x *ResumeModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*ResumeModelDeploymentMonitoringJobRequest) Reset

func (x *ResumeModelDeploymentMonitoringJobRequest) Reset()

func (*ResumeModelDeploymentMonitoringJobRequest) String

func (x *ResumeModelDeploymentMonitoringJobRequest) String() string

SampleConfig

type SampleConfig struct {
	InitialBatchSampleSize isSampleConfig_InitialBatchSampleSize `protobuf_oneof:"initial_batch_sample_size"`

	FollowingBatchSampleSize isSampleConfig_FollowingBatchSampleSize `protobuf_oneof:"following_batch_sample_size"`

	SampleStrategy SampleConfig_SampleStrategy "" /* 164 byte string literal not displayed */

}

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

func (*SampleConfig) Descriptor

func (*SampleConfig) Descriptor() ([]byte, []int)

Deprecated: Use SampleConfig.ProtoReflect.Descriptor instead.

func (*SampleConfig) GetFollowingBatchSamplePercentage

func (x *SampleConfig) GetFollowingBatchSamplePercentage() int32

func (*SampleConfig) GetFollowingBatchSampleSize

func (m *SampleConfig) GetFollowingBatchSampleSize() isSampleConfig_FollowingBatchSampleSize

func (*SampleConfig) GetInitialBatchSamplePercentage

func (x *SampleConfig) GetInitialBatchSamplePercentage() int32

func (*SampleConfig) GetInitialBatchSampleSize

func (m *SampleConfig) GetInitialBatchSampleSize() isSampleConfig_InitialBatchSampleSize

func (*SampleConfig) GetSampleStrategy

func (x *SampleConfig) GetSampleStrategy() SampleConfig_SampleStrategy

func (*SampleConfig) ProtoMessage

func (*SampleConfig) ProtoMessage()

func (*SampleConfig) ProtoReflect

func (x *SampleConfig) ProtoReflect() protoreflect.Message

func (*SampleConfig) Reset

func (x *SampleConfig) Reset()

func (*SampleConfig) String

func (x *SampleConfig) String() string

SampleConfig_FollowingBatchSamplePercentage

type SampleConfig_FollowingBatchSamplePercentage struct {
	// The percentage of data needed to be labeled in each following batch
	// (except the first batch).
	FollowingBatchSamplePercentage int32 `protobuf:"varint,3,opt,name=following_batch_sample_percentage,json=followingBatchSamplePercentage,proto3,oneof"`
}

SampleConfig_InitialBatchSamplePercentage

type SampleConfig_InitialBatchSamplePercentage struct {
	// The percentage of data needed to be labeled in the first batch.
	InitialBatchSamplePercentage int32 `protobuf:"varint,1,opt,name=initial_batch_sample_percentage,json=initialBatchSamplePercentage,proto3,oneof"`
}

SampleConfig_SampleStrategy

type SampleConfig_SampleStrategy int32

Sample strategy decides which subset of DataItems should be selected for human labeling in every batch.

SampleConfig_SAMPLE_STRATEGY_UNSPECIFIED, SampleConfig_UNCERTAINTY

const (
	// Default will be treated as UNCERTAINTY.
	SampleConfig_SAMPLE_STRATEGY_UNSPECIFIED SampleConfig_SampleStrategy = 0
	// Sample the most uncertain data to label.
	SampleConfig_UNCERTAINTY SampleConfig_SampleStrategy = 1
)

func (SampleConfig_SampleStrategy) Descriptor

func (SampleConfig_SampleStrategy) Descriptor() protoreflect.EnumDescriptor

func (SampleConfig_SampleStrategy) Enum

func (x SampleConfig_SampleStrategy) Enum() *SampleConfig_SampleStrategy

func (SampleConfig_SampleStrategy) EnumDescriptor

func (SampleConfig_SampleStrategy) EnumDescriptor() ([]byte, []int)

Deprecated: Use SampleConfig_SampleStrategy.Descriptor instead.

func (SampleConfig_SampleStrategy) Number

func (x SampleConfig_SampleStrategy) Number() protoreflect.EnumNumber

func (SampleConfig_SampleStrategy) String

func (x SampleConfig_SampleStrategy) String() string

func (SampleConfig_SampleStrategy) Type

func (SampleConfig_SampleStrategy) Type() protoreflect.EnumType

SampledShapleyAttribution

type SampledShapleyAttribution struct {

	// Required. The number of feature permutations to consider when approximating
	// the Shapley values.
	//
	// Valid range of its value is [1, 50], inclusively.
	PathCount int32 `protobuf:"varint,1,opt,name=path_count,json=pathCount,proto3" json:"path_count,omitempty"`
	// contains filtered or unexported fields
}

An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features.

func (*SampledShapleyAttribution) Descriptor

func (*SampledShapleyAttribution) Descriptor() ([]byte, []int)

Deprecated: Use SampledShapleyAttribution.ProtoReflect.Descriptor instead.

func (*SampledShapleyAttribution) GetPathCount

func (x *SampledShapleyAttribution) GetPathCount() int32

func (*SampledShapleyAttribution) ProtoMessage

func (*SampledShapleyAttribution) ProtoMessage()

func (*SampledShapleyAttribution) ProtoReflect

func (x *SampledShapleyAttribution) ProtoReflect() protoreflect.Message

func (*SampledShapleyAttribution) Reset

func (x *SampledShapleyAttribution) Reset()

func (*SampledShapleyAttribution) String

func (x *SampledShapleyAttribution) String() string

SamplingStrategy

type SamplingStrategy struct {

	// Random sample config. Will support more sampling strategies later.
	RandomSampleConfig *SamplingStrategy_RandomSampleConfig `protobuf:"bytes,1,opt,name=random_sample_config,json=randomSampleConfig,proto3" json:"random_sample_config,omitempty"`
	// contains filtered or unexported fields
}

Sampling Strategy for logging, can be for both training and prediction dataset.

func (*SamplingStrategy) Descriptor

func (*SamplingStrategy) Descriptor() ([]byte, []int)

Deprecated: Use SamplingStrategy.ProtoReflect.Descriptor instead.

func (*SamplingStrategy) GetRandomSampleConfig

func (x *SamplingStrategy) GetRandomSampleConfig() *SamplingStrategy_RandomSampleConfig

func (*SamplingStrategy) ProtoMessage

func (*SamplingStrategy) ProtoMessage()

func (*SamplingStrategy) ProtoReflect

func (x *SamplingStrategy) ProtoReflect() protoreflect.Message

func (*SamplingStrategy) Reset

func (x *SamplingStrategy) Reset()

func (*SamplingStrategy) String

func (x *SamplingStrategy) String() string

SamplingStrategy_RandomSampleConfig

type SamplingStrategy_RandomSampleConfig struct {

	// Sample rate (0, 1]
	SampleRate float64 `protobuf:"fixed64,1,opt,name=sample_rate,json=sampleRate,proto3" json:"sample_rate,omitempty"`
	// contains filtered or unexported fields
}

Requests are randomly selected.

func (*SamplingStrategy_RandomSampleConfig) Descriptor

func (*SamplingStrategy_RandomSampleConfig) Descriptor() ([]byte, []int)

Deprecated: Use SamplingStrategy_RandomSampleConfig.ProtoReflect.Descriptor instead.

func (*SamplingStrategy_RandomSampleConfig) GetSampleRate

func (x *SamplingStrategy_RandomSampleConfig) GetSampleRate() float64

func (*SamplingStrategy_RandomSampleConfig) ProtoMessage

func (*SamplingStrategy_RandomSampleConfig) ProtoMessage()

func (*SamplingStrategy_RandomSampleConfig) ProtoReflect

func (x *SamplingStrategy_RandomSampleConfig) ProtoReflect() protoreflect.Message

func (*SamplingStrategy_RandomSampleConfig) Reset

func (x *SamplingStrategy_RandomSampleConfig) Reset()

func (*SamplingStrategy_RandomSampleConfig) String

func (x *SamplingStrategy_RandomSampleConfig) String() string

SavedQuery

type SavedQuery struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Metadata *structpb.Value `protobuf:"bytes,12,opt,name=metadata,proto3" json:"metadata,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	AnnotationFilter string `protobuf:"bytes,5,opt,name=annotation_filter,json=annotationFilter,proto3" json:"annotation_filter,omitempty"`

	ProblemType string `protobuf:"bytes,6,opt,name=problem_type,json=problemType,proto3" json:"problem_type,omitempty"`

	AnnotationSpecCount int32 `protobuf:"varint,10,opt,name=annotation_spec_count,json=annotationSpecCount,proto3" json:"annotation_spec_count,omitempty"`

	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`

	SupportAutomlTraining bool "" /* 127 byte string literal not displayed */

}

A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.

func (*SavedQuery) Descriptor

func (*SavedQuery) Descriptor() ([]byte, []int)

Deprecated: Use SavedQuery.ProtoReflect.Descriptor instead.

func (*SavedQuery) GetAnnotationFilter

func (x *SavedQuery) GetAnnotationFilter() string

func (*SavedQuery) GetAnnotationSpecCount

func (x *SavedQuery) GetAnnotationSpecCount() int32

func (*SavedQuery) GetCreateTime

func (x *SavedQuery) GetCreateTime() *timestamppb.Timestamp

func (*SavedQuery) GetDisplayName

func (x *SavedQuery) GetDisplayName() string

func (*SavedQuery) GetEtag

func (x *SavedQuery) GetEtag() string

func (*SavedQuery) GetMetadata

func (x *SavedQuery) GetMetadata() *structpb.Value

func (*SavedQuery) GetName

func (x *SavedQuery) GetName() string

func (*SavedQuery) GetProblemType

func (x *SavedQuery) GetProblemType() string

func (*SavedQuery) GetSupportAutomlTraining

func (x *SavedQuery) GetSupportAutomlTraining() bool

func (*SavedQuery) GetUpdateTime

func (x *SavedQuery) GetUpdateTime() *timestamppb.Timestamp

func (*SavedQuery) ProtoMessage

func (*SavedQuery) ProtoMessage()

func (*SavedQuery) ProtoReflect

func (x *SavedQuery) ProtoReflect() protoreflect.Message

func (*SavedQuery) Reset

func (x *SavedQuery) Reset()

func (*SavedQuery) String

func (x *SavedQuery) String() string

Scalar

type Scalar struct {

	// Value of the point at this step / timestamp.
	Value float64 `protobuf:"fixed64,1,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

One point viewable on a scalar metric plot.

func (*Scalar) Descriptor

func (*Scalar) Descriptor() ([]byte, []int)

Deprecated: Use Scalar.ProtoReflect.Descriptor instead.

func (*Scalar) GetValue

func (x *Scalar) GetValue() float64

func (*Scalar) ProtoMessage

func (*Scalar) ProtoMessage()

func (*Scalar) ProtoReflect

func (x *Scalar) ProtoReflect() protoreflect.Message

func (*Scalar) Reset

func (x *Scalar) Reset()

func (*Scalar) String

func (x *Scalar) String() string

Scheduling

type Scheduling struct {
	Timeout *durationpb.Duration `protobuf:"bytes,1,opt,name=timeout,proto3" json:"timeout,omitempty"`

	RestartJobOnWorkerRestart bool "" /* 143 byte string literal not displayed */

}

All parameters related to queuing and scheduling of custom jobs.

func (*Scheduling) Descriptor

func (*Scheduling) Descriptor() ([]byte, []int)

Deprecated: Use Scheduling.ProtoReflect.Descriptor instead.

func (*Scheduling) GetRestartJobOnWorkerRestart

func (x *Scheduling) GetRestartJobOnWorkerRestart() bool

func (*Scheduling) GetTimeout

func (x *Scheduling) GetTimeout() *durationpb.Duration

func (*Scheduling) ProtoMessage

func (*Scheduling) ProtoMessage()

func (*Scheduling) ProtoReflect

func (x *Scheduling) ProtoReflect() protoreflect.Message

func (*Scheduling) Reset

func (x *Scheduling) Reset()

func (*Scheduling) String

func (x *Scheduling) String() string

SearchDataItemsRequest

type SearchDataItemsRequest struct {

	// Types that are assignable to Order:
	//	*SearchDataItemsRequest_OrderByDataItem
	//	*SearchDataItemsRequest_OrderByAnnotation_
	Order isSearchDataItemsRequest_Order `protobuf_oneof:"order"`
	// Required. The resource name of the Dataset from which to search DataItems.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// The resource name of a SavedQuery(annotation set in UI).
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}`
	// All of the search will be done in the context of this SavedQuery.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
	SavedQuery string `protobuf:"bytes,2,opt,name=saved_query,json=savedQuery,proto3" json:"saved_query,omitempty"`
	// The resource name of a DataLabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	// If this field is set, all of the search will be done in the context of
	// this DataLabelingJob.
	DataLabelingJob string `protobuf:"bytes,3,opt,name=data_labeling_job,json=dataLabelingJob,proto3" json:"data_labeling_job,omitempty"`
	// An expression for filtering the DataItem that will be returned.
	//
	//   * `data_item_id` - for = or !=.
	//   * `labeled` - for = or !=.
	//   * `has_annotation(ANNOTATION_SPEC_ID)` - true only for DataItem that
	//     have at least one annotation with annotation_spec_id =
	//     `ANNOTATION_SPEC_ID` in the context of SavedQuery or DataLabelingJob.
	//
	// For example:
	//
	// * `data_item=1`
	// * `has_annotation(5)`
	DataItemFilter string `protobuf:"bytes,4,opt,name=data_item_filter,json=dataItemFilter,proto3" json:"data_item_filter,omitempty"`
	// An expression for filtering the Annotations that will be returned per
	// DataItem.
	//   * `annotation_spec_id` - for = or !=.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
	AnnotationsFilter string `protobuf:"bytes,5,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
	// An expression that specifies what Annotations will be returned per
	// DataItem. Annotations satisfied either of the conditions will be returned.
	//   * `annotation_spec_id` - for = or !=.
	// Must specify `saved_query_id=` - saved query id that annotations should
	// belong to.
	AnnotationFilters []string `protobuf:"bytes,11,rep,name=annotation_filters,json=annotationFilters,proto3" json:"annotation_filters,omitempty"`
	// Mask specifying which fields of
	// [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
	FieldMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=field_mask,json=fieldMask,proto3" json:"field_mask,omitempty"`
	// If set, only up to this many of Annotations will be returned per
	// DataItemView. The maximum value is 1000. If not set, the maximum value will
	// be used.
	AnnotationsLimit int32 `protobuf:"varint,7,opt,name=annotations_limit,json=annotationsLimit,proto3" json:"annotations_limit,omitempty"`
	// Requested page size. Server may return fewer results than requested.
	// Default and maximum page size is 100.
	PageSize int32 `protobuf:"varint,8,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
	OrderBy string `protobuf:"bytes,9,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// A token identifying a page of results for the server to return
	// Typically obtained via
	// [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
	// of the previous
	// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
	// call.
	PageToken string `protobuf:"bytes,10,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].

func (*SearchDataItemsRequest) Descriptor

func (*SearchDataItemsRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchDataItemsRequest.ProtoReflect.Descriptor instead.

func (*SearchDataItemsRequest) GetAnnotationFilters

func (x *SearchDataItemsRequest) GetAnnotationFilters() []string

func (*SearchDataItemsRequest) GetAnnotationsFilter

func (x *SearchDataItemsRequest) GetAnnotationsFilter() string

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.

func (*SearchDataItemsRequest) GetAnnotationsLimit

func (x *SearchDataItemsRequest) GetAnnotationsLimit() int32

func (*SearchDataItemsRequest) GetDataItemFilter

func (x *SearchDataItemsRequest) GetDataItemFilter() string

func (*SearchDataItemsRequest) GetDataLabelingJob

func (x *SearchDataItemsRequest) GetDataLabelingJob() string

func (*SearchDataItemsRequest) GetDataset

func (x *SearchDataItemsRequest) GetDataset() string

func (*SearchDataItemsRequest) GetFieldMask

func (x *SearchDataItemsRequest) GetFieldMask() *fieldmaskpb.FieldMask

func (*SearchDataItemsRequest) GetOrder

func (m *SearchDataItemsRequest) GetOrder() isSearchDataItemsRequest_Order

func (*SearchDataItemsRequest) GetOrderBy

func (x *SearchDataItemsRequest) GetOrderBy() string

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.

func (*SearchDataItemsRequest) GetOrderByAnnotation

func (x *SearchDataItemsRequest) GetOrderByAnnotation() *SearchDataItemsRequest_OrderByAnnotation

func (*SearchDataItemsRequest) GetOrderByDataItem

func (x *SearchDataItemsRequest) GetOrderByDataItem() string

func (*SearchDataItemsRequest) GetPageSize

func (x *SearchDataItemsRequest) GetPageSize() int32

func (*SearchDataItemsRequest) GetPageToken

func (x *SearchDataItemsRequest) GetPageToken() string

func (*SearchDataItemsRequest) GetSavedQuery

func (x *SearchDataItemsRequest) GetSavedQuery() string

Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.

func (*SearchDataItemsRequest) ProtoMessage

func (*SearchDataItemsRequest) ProtoMessage()

func (*SearchDataItemsRequest) ProtoReflect

func (x *SearchDataItemsRequest) ProtoReflect() protoreflect.Message

func (*SearchDataItemsRequest) Reset

func (x *SearchDataItemsRequest) Reset()

func (*SearchDataItemsRequest) String

func (x *SearchDataItemsRequest) String() string

SearchDataItemsRequest_OrderByAnnotation

type SearchDataItemsRequest_OrderByAnnotation struct {

	// Required. Saved query of the Annotation. Only Annotations belong to this
	// saved query will be considered for ordering.
	SavedQuery string `protobuf:"bytes,1,opt,name=saved_query,json=savedQuery,proto3" json:"saved_query,omitempty"`
	// A comma-separated list of annotation fields to order by, sorted in
	// ascending order. Use "desc" after a field name for descending. Must also
	// specify saved_query.
	OrderBy string `protobuf:"bytes,2,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Expression that allows ranking results based on annotation's property.

func (*SearchDataItemsRequest_OrderByAnnotation) Descriptor

func (*SearchDataItemsRequest_OrderByAnnotation) Descriptor() ([]byte, []int)

Deprecated: Use SearchDataItemsRequest_OrderByAnnotation.ProtoReflect.Descriptor instead.

func (*SearchDataItemsRequest_OrderByAnnotation) GetOrderBy

func (x *SearchDataItemsRequest_OrderByAnnotation) GetOrderBy() string

func (*SearchDataItemsRequest_OrderByAnnotation) GetSavedQuery

func (x *SearchDataItemsRequest_OrderByAnnotation) GetSavedQuery() string

func (*SearchDataItemsRequest_OrderByAnnotation) ProtoMessage

func (*SearchDataItemsRequest_OrderByAnnotation) ProtoMessage()

func (*SearchDataItemsRequest_OrderByAnnotation) ProtoReflect

func (x *SearchDataItemsRequest_OrderByAnnotation) ProtoReflect() protoreflect.Message

func (*SearchDataItemsRequest_OrderByAnnotation) Reset

func (x *SearchDataItemsRequest_OrderByAnnotation) Reset()

func (*SearchDataItemsRequest_OrderByAnnotation) String

func (x *SearchDataItemsRequest_OrderByAnnotation) String() string

SearchDataItemsRequest_OrderByAnnotation_

type SearchDataItemsRequest_OrderByAnnotation_ struct {
	// Expression that allows ranking results based on annotation's property.
	OrderByAnnotation *SearchDataItemsRequest_OrderByAnnotation `protobuf:"bytes,13,opt,name=order_by_annotation,json=orderByAnnotation,proto3,oneof"`
}

SearchDataItemsRequest_OrderByDataItem

type SearchDataItemsRequest_OrderByDataItem struct {
	// A comma-separated list of data item fields to order by, sorted in
	// ascending order. Use "desc" after a field name for descending.
	OrderByDataItem string `protobuf:"bytes,12,opt,name=order_by_data_item,json=orderByDataItem,proto3,oneof"`
}

SearchDataItemsResponse

type SearchDataItemsResponse struct {

	// The DataItemViews read.
	DataItemViews []*DataItemView `protobuf:"bytes,1,rep,name=data_item_views,json=dataItemViews,proto3" json:"data_item_views,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].

func (*SearchDataItemsResponse) Descriptor

func (*SearchDataItemsResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchDataItemsResponse.ProtoReflect.Descriptor instead.

func (*SearchDataItemsResponse) GetDataItemViews

func (x *SearchDataItemsResponse) GetDataItemViews() []*DataItemView

func (*SearchDataItemsResponse) GetNextPageToken

func (x *SearchDataItemsResponse) GetNextPageToken() string

func (*SearchDataItemsResponse) ProtoMessage

func (*SearchDataItemsResponse) ProtoMessage()

func (*SearchDataItemsResponse) ProtoReflect

func (x *SearchDataItemsResponse) ProtoReflect() protoreflect.Message

func (*SearchDataItemsResponse) Reset

func (x *SearchDataItemsResponse) Reset()

func (*SearchDataItemsResponse) String

func (x *SearchDataItemsResponse) String() string

SearchFeaturesRequest

type SearchFeaturesRequest struct {

	// Required. The resource name of the Location to search Features.
	// Format:
	// `projects/{project}/locations/{location}`
	Location string `protobuf:"bytes,1,opt,name=location,proto3" json:"location,omitempty"`
	// Query string that is a conjunction of field-restricted queries and/or
	// field-restricted filters.  Field-restricted queries and filters can be
	// combined using `AND` to form a conjunction.
	//
	// A field query is in the form FIELD:QUERY. This implicitly checks if QUERY
	// exists as a substring within Feature's FIELD. The QUERY
	// and the FIELD are converted to a sequence of words (i.e. tokens) for
	// comparison. This is done by:
	//
	//   * Removing leading/trailing whitespace and tokenizing the search value.
	//   Characters that are not one of alphanumeric `[a-zA-Z0-9]`, underscore
	//   `_`, or asterisk `*` are treated as delimiters for tokens. `*` is treated
	//   as a wildcard that matches characters within a token.
	//   * Ignoring case.
	//   * Prepending an asterisk to the first and appending an asterisk to the
	//   last token in QUERY.
	//
	// A QUERY must be either a singular token or a phrase. A phrase is one or
	// multiple words enclosed in double quotation marks ("). With phrases, the
	// order of the words is important. Words in the phrase must be matching in
	// order and consecutively.
	//
	// Supported FIELDs for field-restricted queries:
	//
	// * `feature_id`
	// * `description`
	// * `entity_type_id`
	//
	// Examples:
	//
	// * `feature_id: foo` --> Matches a Feature with ID containing the substring
	// `foo` (eg. `foo`, `foofeature`, `barfoo`).
	// * `feature_id: foo*feature` --> Matches a Feature with ID containing the
	// substring `foo*feature` (eg. `foobarfeature`).
	// * `feature_id: foo AND description: bar` --> Matches a Feature with ID
	// containing the substring `foo` and description containing the substring
	// `bar`.
	//
	//
	// Besides field queries, the following exact-match filters are
	// supported. The exact-match filters do not support wildcards. Unlike
	// field-restricted queries, exact-match filters are case-sensitive.
	//
	// * `feature_id`: Supports = comparisons.
	// * `description`: Supports = comparisons. Multi-token filters should be
	// enclosed in quotes.
	// * `entity_type_id`: Supports = comparisons.
	// * `value_type`: Supports = and != comparisons.
	// * `labels`: Supports key-value equality as well as key presence.
	// * `featurestore_id`: Supports = comparisons.
	//
	// Examples:
	// * `description = "foo bar"` --> Any Feature with description exactly equal
	// to `foo bar`
	// * `value_type = DOUBLE` --> Features whose type is DOUBLE.
	// * `labels.active = yes AND labels.env = prod` --> Features having both
	//     (active: yes) and (env: prod) labels.
	// * `labels.env: *` --> Any Feature which has a label with `env` as the
	//   key.
	Query string `protobuf:"bytes,3,opt,name=query,proto3" json:"query,omitempty"`
	// The maximum number of Features to return. The service may return fewer
	// than this value. If unspecified, at most 100 Features will be returned.
	// The maximum value is 100; any value greater than 100 will be coerced to
	// 100.
	PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
	// except `page_size`, must match the call that provided the page token.
	PageToken string `protobuf:"bytes,5,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].

func (*SearchFeaturesRequest) Descriptor

func (*SearchFeaturesRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchFeaturesRequest.ProtoReflect.Descriptor instead.

func (*SearchFeaturesRequest) GetLocation

func (x *SearchFeaturesRequest) GetLocation() string

func (*SearchFeaturesRequest) GetPageSize

func (x *SearchFeaturesRequest) GetPageSize() int32

func (*SearchFeaturesRequest) GetPageToken

func (x *SearchFeaturesRequest) GetPageToken() string

func (*SearchFeaturesRequest) GetQuery

func (x *SearchFeaturesRequest) GetQuery() string

func (*SearchFeaturesRequest) ProtoMessage

func (*SearchFeaturesRequest) ProtoMessage()

func (*SearchFeaturesRequest) ProtoReflect

func (x *SearchFeaturesRequest) ProtoReflect() protoreflect.Message

func (*SearchFeaturesRequest) Reset

func (x *SearchFeaturesRequest) Reset()

func (*SearchFeaturesRequest) String

func (x *SearchFeaturesRequest) String() string

SearchFeaturesResponse

type SearchFeaturesResponse struct {

	// The Features matching the request.
	//
	// Fields returned:
	//
	//  * `name`
	//  * `description`
	//  * `labels`
	//  * `create_time`
	//  * `update_time`
	Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
	// A token, which can be sent as
	// [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].

func (*SearchFeaturesResponse) Descriptor

func (*SearchFeaturesResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchFeaturesResponse.ProtoReflect.Descriptor instead.

func (*SearchFeaturesResponse) GetFeatures

func (x *SearchFeaturesResponse) GetFeatures() []*Feature

func (*SearchFeaturesResponse) GetNextPageToken

func (x *SearchFeaturesResponse) GetNextPageToken() string

func (*SearchFeaturesResponse) ProtoMessage

func (*SearchFeaturesResponse) ProtoMessage()

func (*SearchFeaturesResponse) ProtoReflect

func (x *SearchFeaturesResponse) ProtoReflect() protoreflect.Message

func (*SearchFeaturesResponse) Reset

func (x *SearchFeaturesResponse) Reset()

func (*SearchFeaturesResponse) String

func (x *SearchFeaturesResponse) String() string

SearchMigratableResourcesRequest

type SearchMigratableResourcesRequest struct {

	// Required. The location that the migratable resources should be searched
	// from. It's the Vertex AI location that the resources can be migrated to,
	// not the resources' original location. Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard page size.
	// The default and maximum value is 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard page token.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A filter for your search. You can use the following types of filters:
	//
	// *   Resource type filters. The following strings filter for a specific type
	//     of [MigratableResource][google.cloud.aiplatform.v1.MigratableResource]:
	//     *   `ml_engine_model_version:*`
	//     *   `automl_model:*`
	//     *   `automl_dataset:*`
	//     *   `data_labeling_dataset:*`
	// *   "Migrated or not" filters. The following strings filter for resources
	//     that either have or have not already been migrated:
	//     *   `last_migrate_time:*` filters for migrated resources.
	//     *   `NOT last_migrate_time:*` filters for not yet migrated resources.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].

func (*SearchMigratableResourcesRequest) Descriptor

func (*SearchMigratableResourcesRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchMigratableResourcesRequest.ProtoReflect.Descriptor instead.

func (*SearchMigratableResourcesRequest) GetFilter

func (x *SearchMigratableResourcesRequest) GetFilter() string

func (*SearchMigratableResourcesRequest) GetPageSize

func (x *SearchMigratableResourcesRequest) GetPageSize() int32

func (*SearchMigratableResourcesRequest) GetPageToken

func (x *SearchMigratableResourcesRequest) GetPageToken() string

func (*SearchMigratableResourcesRequest) GetParent

func (x *SearchMigratableResourcesRequest) GetParent() string

func (*SearchMigratableResourcesRequest) ProtoMessage

func (*SearchMigratableResourcesRequest) ProtoMessage()

func (*SearchMigratableResourcesRequest) ProtoReflect

func (x *SearchMigratableResourcesRequest) ProtoReflect() protoreflect.Message

func (*SearchMigratableResourcesRequest) Reset

func (x *SearchMigratableResourcesRequest) Reset()

func (*SearchMigratableResourcesRequest) String

func (x *SearchMigratableResourcesRequest) String() string

SearchMigratableResourcesResponse

type SearchMigratableResourcesResponse struct {

	// All migratable resources that can be migrated to the
	// location specified in the request.
	MigratableResources []*MigratableResource `protobuf:"bytes,1,rep,name=migratable_resources,json=migratableResources,proto3" json:"migratable_resources,omitempty"`
	// The standard next-page token.
	// The migratable_resources may not fill page_size in
	// SearchMigratableResourcesRequest even when there are subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].

func (*SearchMigratableResourcesResponse) Descriptor

func (*SearchMigratableResourcesResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchMigratableResourcesResponse.ProtoReflect.Descriptor instead.

func (*SearchMigratableResourcesResponse) GetMigratableResources

func (x *SearchMigratableResourcesResponse) GetMigratableResources() []*MigratableResource

func (*SearchMigratableResourcesResponse) GetNextPageToken

func (x *SearchMigratableResourcesResponse) GetNextPageToken() string

func (*SearchMigratableResourcesResponse) ProtoMessage

func (*SearchMigratableResourcesResponse) ProtoMessage()

func (*SearchMigratableResourcesResponse) ProtoReflect

func (x *SearchMigratableResourcesResponse) ProtoReflect() protoreflect.Message

func (*SearchMigratableResourcesResponse) Reset

func (x *SearchMigratableResourcesResponse) Reset()

func (*SearchMigratableResourcesResponse) String

func (x *SearchMigratableResourcesResponse) String() string

SearchModelDeploymentMonitoringStatsAnomaliesRequest

type SearchModelDeploymentMonitoringStatsAnomaliesRequest struct {
	ModelDeploymentMonitoringJob string "" /* 149 byte string literal not displayed */

	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`

	FeatureDisplayName string `protobuf:"bytes,3,opt,name=feature_display_name,json=featureDisplayName,proto3" json:"feature_display_name,omitempty"`

	Objectives []*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective `protobuf:"bytes,4,rep,name=objectives,proto3" json:"objectives,omitempty"`

	PageSize int32 `protobuf:"varint,5,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`

	PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`

	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

}

Request message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Descriptor

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesRequest.ProtoReflect.Descriptor instead.

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetDeployedModelId

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetDeployedModelId() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetEndTime

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetEndTime() *timestamppb.Timestamp

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetFeatureDisplayName

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetFeatureDisplayName() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetModelDeploymentMonitoringJob

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetModelDeploymentMonitoringJob() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetObjectives

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetObjectives() []*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageSize

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageSize() int32

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageToken

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageToken() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetStartTime

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetStartTime() *timestamppb.Timestamp

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoMessage

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoMessage()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoReflect

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoReflect() protoreflect.Message

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Reset

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) Reset()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) String

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) String() string

SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective

type SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective struct {
	Type ModelDeploymentMonitoringObjectiveType "" /* 133 byte string literal not displayed */

	TopFeatureCount int32 `protobuf:"varint,4,opt,name=top_feature_count,json=topFeatureCount,proto3" json:"top_feature_count,omitempty"`

}

Stats requested for specific objective.

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Descriptor

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Descriptor() ([]byte, []int)

Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective.ProtoReflect.Descriptor instead.

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetTopFeatureCount

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetTopFeatureCount() int32

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetType

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetType() ModelDeploymentMonitoringObjectiveType

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoMessage

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoMessage()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoReflect

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoReflect() protoreflect.Message

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Reset

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Reset()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) String

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) String() string

SearchModelDeploymentMonitoringStatsAnomaliesResponse

type SearchModelDeploymentMonitoringStatsAnomaliesResponse struct {

	// Stats retrieved for requested objectives.
	// There are at most 1000
	// [ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats][google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats]
	// in the response.
	MonitoringStats []*ModelMonitoringStatsAnomalies `protobuf:"bytes,1,rep,name=monitoring_stats,json=monitoringStats,proto3" json:"monitoring_stats,omitempty"`
	// The page token that can be used by the next
	// [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]
	// call.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Descriptor

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesResponse.ProtoReflect.Descriptor instead.

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetMonitoringStats

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetMonitoringStats() []*ModelMonitoringStatsAnomalies

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetNextPageToken

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetNextPageToken() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoMessage

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoMessage()

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoReflect

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoReflect() protoreflect.Message

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Reset

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) Reset()

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) String

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) String() string

SmoothGradConfig

type SmoothGradConfig struct {

	// Represents the standard deviation of the gaussian kernel
	// that will be used to add noise to the interpolated inputs
	// prior to computing gradients.
	//
	// Types that are assignable to GradientNoiseSigma:
	//	*SmoothGradConfig_NoiseSigma
	//	*SmoothGradConfig_FeatureNoiseSigma
	GradientNoiseSigma isSmoothGradConfig_GradientNoiseSigma `protobuf_oneof:"GradientNoiseSigma"`
	// The number of gradient samples to use for
	// approximation. The higher this number, the more accurate the gradient
	// is, but the runtime complexity increases by this factor as well.
	// Valid range of its value is [1, 50]. Defaults to 3.
	NoisySampleCount int32 `protobuf:"varint,3,opt,name=noisy_sample_count,json=noisySampleCount,proto3" json:"noisy_sample_count,omitempty"`
	// contains filtered or unexported fields
}

Config for SmoothGrad approximation of gradients.

When enabled, the gradients are approximated by averaging the gradients from noisy samples in the vicinity of the inputs. Adding noise can help improve the computed gradients. Refer to this paper for more details: https://arxiv.org/pdf/1706.03825.pdf

func (*SmoothGradConfig) Descriptor

func (*SmoothGradConfig) Descriptor() ([]byte, []int)

Deprecated: Use SmoothGradConfig.ProtoReflect.Descriptor instead.

func (*SmoothGradConfig) GetFeatureNoiseSigma

func (x *SmoothGradConfig) GetFeatureNoiseSigma() *FeatureNoiseSigma

func (*SmoothGradConfig) GetGradientNoiseSigma

func (m *SmoothGradConfig) GetGradientNoiseSigma() isSmoothGradConfig_GradientNoiseSigma

func (*SmoothGradConfig) GetNoiseSigma

func (x *SmoothGradConfig) GetNoiseSigma() float32

func (*SmoothGradConfig) GetNoisySampleCount

func (x *SmoothGradConfig) GetNoisySampleCount() int32

func (*SmoothGradConfig) ProtoMessage

func (*SmoothGradConfig) ProtoMessage()

func (*SmoothGradConfig) ProtoReflect

func (x *SmoothGradConfig) ProtoReflect() protoreflect.Message

func (*SmoothGradConfig) Reset

func (x *SmoothGradConfig) Reset()

func (*SmoothGradConfig) String

func (x *SmoothGradConfig) String() string

SmoothGradConfig_FeatureNoiseSigma

type SmoothGradConfig_FeatureNoiseSigma struct {
	// This is similar to
	// [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
	// but provides additional flexibility. A separate noise sigma can be
	// provided for each feature, which is useful if their distributions are
	// different. No noise is added to features that are not set. If this field
	// is unset,
	// [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
	// will be used for all features.
	FeatureNoiseSigma *FeatureNoiseSigma `protobuf:"bytes,2,opt,name=feature_noise_sigma,json=featureNoiseSigma,proto3,oneof"`
}

SmoothGradConfig_NoiseSigma

type SmoothGradConfig_NoiseSigma struct {
	// This is a single float value and will be used to add noise to all the
	// features. Use this field when all features are normalized to have the
	// same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
	// features are normalized to have 0-mean and 1-variance. Learn more about
	// [normalization](https://developers.google.com/machine-learning/data-prep/transform/normalization).
	//
	// For best results the recommended value is about 10% - 20% of the standard
	// deviation of the input feature. Refer to section 3.2 of the SmoothGrad
	// paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
	//
	// If the distribution is different per feature, set
	// [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
	// instead for each feature.
	NoiseSigma float32 `protobuf:"fixed32,1,opt,name=noise_sigma,json=noiseSigma,proto3,oneof"`
}

SpecialistPool

type SpecialistPool struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	SpecialistManagersCount int32 "" /* 133 byte string literal not displayed */

	SpecialistManagerEmails []string "" /* 132 byte string literal not displayed */

	PendingDataLabelingJobs []string "" /* 134 byte string literal not displayed */

	SpecialistWorkerEmails []string "" /* 129 byte string literal not displayed */

}

SpecialistPool represents customers' own workforce to work on their data labeling jobs. It includes a group of specialist managers and workers. Managers are responsible for managing the workers in this pool as well as customers' data labeling jobs associated with this pool. Customers create specialist pool as well as start data labeling jobs on Cloud, managers and workers handle the jobs using CrowdCompute console.

func (*SpecialistPool) Descriptor

func (*SpecialistPool) Descriptor() ([]byte, []int)

Deprecated: Use SpecialistPool.ProtoReflect.Descriptor instead.

func (*SpecialistPool) GetDisplayName

func (x *SpecialistPool) GetDisplayName() string

func (*SpecialistPool) GetName

func (x *SpecialistPool) GetName() string

func (*SpecialistPool) GetPendingDataLabelingJobs

func (x *SpecialistPool) GetPendingDataLabelingJobs() []string

func (*SpecialistPool) GetSpecialistManagerEmails

func (x *SpecialistPool) GetSpecialistManagerEmails() []string

func (*SpecialistPool) GetSpecialistManagersCount

func (x *SpecialistPool) GetSpecialistManagersCount() int32

func (*SpecialistPool) GetSpecialistWorkerEmails

func (x *SpecialistPool) GetSpecialistWorkerEmails() []string

func (*SpecialistPool) ProtoMessage

func (*SpecialistPool) ProtoMessage()

func (*SpecialistPool) ProtoReflect

func (x *SpecialistPool) ProtoReflect() protoreflect.Message

func (*SpecialistPool) Reset

func (x *SpecialistPool) Reset()

func (*SpecialistPool) String

func (x *SpecialistPool) String() string

SpecialistPoolServiceClient

type SpecialistPoolServiceClient interface {
	// Creates a SpecialistPool.
	CreateSpecialistPool(ctx context.Context, in *CreateSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a SpecialistPool.
	GetSpecialistPool(ctx context.Context, in *GetSpecialistPoolRequest, opts ...grpc.CallOption) (*SpecialistPool, error)
	// Lists SpecialistPools in a Location.
	ListSpecialistPools(ctx context.Context, in *ListSpecialistPoolsRequest, opts ...grpc.CallOption) (*ListSpecialistPoolsResponse, error)
	// Deletes a SpecialistPool as well as all Specialists in the pool.
	DeleteSpecialistPool(ctx context.Context, in *DeleteSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Updates a SpecialistPool.
	UpdateSpecialistPool(ctx context.Context, in *UpdateSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}

SpecialistPoolServiceClient is the client API for SpecialistPoolService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewSpecialistPoolServiceClient

func NewSpecialistPoolServiceClient(cc grpc.ClientConnInterface) SpecialistPoolServiceClient

SpecialistPoolServiceServer

type SpecialistPoolServiceServer interface {
	// Creates a SpecialistPool.
	CreateSpecialistPool(context.Context, *CreateSpecialistPoolRequest) (*longrunningpb.Operation, error)
	// Gets a SpecialistPool.
	GetSpecialistPool(context.Context, *GetSpecialistPoolRequest) (*SpecialistPool, error)
	// Lists SpecialistPools in a Location.
	ListSpecialistPools(context.Context, *ListSpecialistPoolsRequest) (*ListSpecialistPoolsResponse, error)
	// Deletes a SpecialistPool as well as all Specialists in the pool.
	DeleteSpecialistPool(context.Context, *DeleteSpecialistPoolRequest) (*longrunningpb.Operation, error)
	// Updates a SpecialistPool.
	UpdateSpecialistPool(context.Context, *UpdateSpecialistPoolRequest) (*longrunningpb.Operation, error)
}

SpecialistPoolServiceServer is the server API for SpecialistPoolService service.

StopTrialRequest

type StopTrialRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].

func (*StopTrialRequest) Descriptor

func (*StopTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use StopTrialRequest.ProtoReflect.Descriptor instead.

func (*StopTrialRequest) GetName

func (x *StopTrialRequest) GetName() string

func (*StopTrialRequest) ProtoMessage

func (*StopTrialRequest) ProtoMessage()

func (*StopTrialRequest) ProtoReflect

func (x *StopTrialRequest) ProtoReflect() protoreflect.Message

func (*StopTrialRequest) Reset

func (x *StopTrialRequest) Reset()

func (*StopTrialRequest) String

func (x *StopTrialRequest) String() string

StratifiedSplit

type StratifiedSplit struct {

	// The fraction of the input data that is to be used to train the Model.
	TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
	// The fraction of the input data that is to be used to validate the Model.
	ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
	// The fraction of the input data that is to be used to evaluate the Model.
	TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
	// Required. The key is a name of one of the Dataset's data columns.
	// The key provided must be for a categorical column.
	Key string `protobuf:"bytes,4,opt,name=key,proto3" json:"key,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to the training, validation, and test sets so that the distribution of values found in the categorical column (as specified by the key field) is mirrored within each split. The fraction values determine the relative sizes of the splits.

For example, if the specified column has three values, with 50% of the rows having value "A", 25% value "B", and 25% value "C", and the split fractions are specified as 80/10/10, then the training set will constitute 80% of the training data, with about 50% of the training set rows having the value "A" for the specified column, about 25% having the value "B", and about 25% having the value "C".

Only the top 500 occurring values are used; any values not in the top 500 values are randomly assigned to a split. If less than three rows contain a specific value, those rows are randomly assigned.

Supported only for tabular Datasets.

func (*StratifiedSplit) Descriptor

func (*StratifiedSplit) Descriptor() ([]byte, []int)

Deprecated: Use StratifiedSplit.ProtoReflect.Descriptor instead.

func (*StratifiedSplit) GetKey

func (x *StratifiedSplit) GetKey() string

func (*StratifiedSplit) GetTestFraction

func (x *StratifiedSplit) GetTestFraction() float64

func (*StratifiedSplit) GetTrainingFraction

func (x *StratifiedSplit) GetTrainingFraction() float64

func (*StratifiedSplit) GetValidationFraction

func (x *StratifiedSplit) GetValidationFraction() float64

func (*StratifiedSplit) ProtoMessage

func (*StratifiedSplit) ProtoMessage()

func (*StratifiedSplit) ProtoReflect

func (x *StratifiedSplit) ProtoReflect() protoreflect.Message

func (*StratifiedSplit) Reset

func (x *StratifiedSplit) Reset()

func (*StratifiedSplit) String

func (x *StratifiedSplit) String() string

StreamingReadFeatureValuesRequest

type StreamingReadFeatureValuesRequest struct {

	// Required. The resource name of the entities' type.
	// Value format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
	// For example,
	// for a machine learning model predicting user clicks on a website, an
	// EntityType ID could be `user`.
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. IDs of entities to read Feature values of. The maximum number of
	// IDs is 100. For example, for a machine learning model predicting user
	// clicks on a website, an entity ID could be `user_123`.
	EntityIds []string `protobuf:"bytes,2,rep,name=entity_ids,json=entityIds,proto3" json:"entity_ids,omitempty"`
	// Required. Selector choosing Features of the target EntityType. Feature IDs
	// will be deduplicated.
	FeatureSelector *FeatureSelector `protobuf:"bytes,3,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].

func (*StreamingReadFeatureValuesRequest) Descriptor

func (*StreamingReadFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use StreamingReadFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*StreamingReadFeatureValuesRequest) GetEntityIds

func (x *StreamingReadFeatureValuesRequest) GetEntityIds() []string

func (*StreamingReadFeatureValuesRequest) GetEntityType

func (x *StreamingReadFeatureValuesRequest) GetEntityType() string

func (*StreamingReadFeatureValuesRequest) GetFeatureSelector

func (x *StreamingReadFeatureValuesRequest) GetFeatureSelector() *FeatureSelector

func (*StreamingReadFeatureValuesRequest) ProtoMessage

func (*StreamingReadFeatureValuesRequest) ProtoMessage()

func (*StreamingReadFeatureValuesRequest) ProtoReflect

func (x *StreamingReadFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*StreamingReadFeatureValuesRequest) Reset

func (x *StreamingReadFeatureValuesRequest) Reset()

func (*StreamingReadFeatureValuesRequest) String

func (x *StreamingReadFeatureValuesRequest) String() string

StringArray

type StringArray struct {

	// A list of string values.
	Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of string values.

func (*StringArray) Descriptor

func (*StringArray) Descriptor() ([]byte, []int)

Deprecated: Use StringArray.ProtoReflect.Descriptor instead.

func (*StringArray) GetValues

func (x *StringArray) GetValues() []string

func (*StringArray) ProtoMessage

func (*StringArray) ProtoMessage()

func (*StringArray) ProtoReflect

func (x *StringArray) ProtoReflect() protoreflect.Message

func (*StringArray) Reset

func (x *StringArray) Reset()

func (*StringArray) String

func (x *StringArray) String() string

Study

type Study struct {

	// Output only. The name of a study. The study's globally unique identifier.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. Describes the Study, default value is empty string.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Configuration of the Study.
	StudySpec *StudySpec `protobuf:"bytes,3,opt,name=study_spec,json=studySpec,proto3" json:"study_spec,omitempty"`
	// Output only. The detailed state of a Study.
	State Study_State `protobuf:"varint,4,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Study_State" json:"state,omitempty"`
	// Output only. Time at which the study was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. A human readable reason why the Study is inactive.
	// This should be empty if a study is ACTIVE or COMPLETED.
	InactiveReason string `protobuf:"bytes,6,opt,name=inactive_reason,json=inactiveReason,proto3" json:"inactive_reason,omitempty"`
	// contains filtered or unexported fields
}

A message representing a Study.

func (*Study) Descriptor

func (*Study) Descriptor() ([]byte, []int)

Deprecated: Use Study.ProtoReflect.Descriptor instead.

func (*Study) GetCreateTime

func (x *Study) GetCreateTime() *timestamppb.Timestamp

func (*Study) GetDisplayName

func (x *Study) GetDisplayName() string

func (*Study) GetInactiveReason

func (x *Study) GetInactiveReason() string

func (*Study) GetName

func (x *Study) GetName() string

func (*Study) GetState

func (x *Study) GetState() Study_State

func (*Study) GetStudySpec

func (x *Study) GetStudySpec() *StudySpec

func (*Study) ProtoMessage

func (*Study) ProtoMessage()

func (*Study) ProtoReflect

func (x *Study) ProtoReflect() protoreflect.Message

func (*Study) Reset

func (x *Study) Reset()

func (*Study) String

func (x *Study) String() string

StudySpec

type StudySpec struct {
	AutomatedStoppingSpec isStudySpec_AutomatedStoppingSpec `protobuf_oneof:"automated_stopping_spec"`

	Metrics []*StudySpec_MetricSpec `protobuf:"bytes,1,rep,name=metrics,proto3" json:"metrics,omitempty"`

	Parameters []*StudySpec_ParameterSpec `protobuf:"bytes,2,rep,name=parameters,proto3" json:"parameters,omitempty"`

	Algorithm StudySpec_Algorithm `protobuf:"varint,3,opt,name=algorithm,proto3,enum=google.cloud.aiplatform.v1.StudySpec_Algorithm" json:"algorithm,omitempty"`

	ObservationNoise StudySpec_ObservationNoise "" /* 169 byte string literal not displayed */

	MeasurementSelectionType StudySpec_MeasurementSelectionType "" /* 203 byte string literal not displayed */

}

Represents specification of a Study.

func (*StudySpec) Descriptor

func (*StudySpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec.ProtoReflect.Descriptor instead.

func (*StudySpec) GetAlgorithm

func (x *StudySpec) GetAlgorithm() StudySpec_Algorithm

func (*StudySpec) GetAutomatedStoppingSpec

func (m *StudySpec) GetAutomatedStoppingSpec() isStudySpec_AutomatedStoppingSpec

func (*StudySpec) GetConvexAutomatedStoppingSpec

func (x *StudySpec) GetConvexAutomatedStoppingSpec() *StudySpec_ConvexAutomatedStoppingSpec

func (*StudySpec) GetDecayCurveStoppingSpec

func (x *StudySpec) GetDecayCurveStoppingSpec() *StudySpec_DecayCurveAutomatedStoppingSpec

func (*StudySpec) GetMeasurementSelectionType

func (x *StudySpec) GetMeasurementSelectionType() StudySpec_MeasurementSelectionType

func (*StudySpec) GetMedianAutomatedStoppingSpec

func (x *StudySpec) GetMedianAutomatedStoppingSpec() *StudySpec_MedianAutomatedStoppingSpec

func (*StudySpec) GetMetrics

func (x *StudySpec) GetMetrics() []*StudySpec_MetricSpec

func (*StudySpec) GetObservationNoise

func (x *StudySpec) GetObservationNoise() StudySpec_ObservationNoise

func (*StudySpec) GetParameters

func (x *StudySpec) GetParameters() []*StudySpec_ParameterSpec

func (*StudySpec) ProtoMessage

func (*StudySpec) ProtoMessage()

func (*StudySpec) ProtoReflect

func (x *StudySpec) ProtoReflect() protoreflect.Message

func (*StudySpec) Reset

func (x *StudySpec) Reset()

func (*StudySpec) String

func (x *StudySpec) String() string

StudySpec_Algorithm

type StudySpec_Algorithm int32

The available search algorithms for the Study.

StudySpec_ALGORITHM_UNSPECIFIED, StudySpec_GRID_SEARCH, StudySpec_RANDOM_SEARCH

const (
	// The default algorithm used by Vertex AI for [hyperparameter
	// tuning](https://cloud.google.com/vertex-ai/docs/training/hyperparameter-tuning-overview)
	// and [Vertex AI Vizier](https://cloud.google.com/vertex-ai/docs/vizier).
	StudySpec_ALGORITHM_UNSPECIFIED StudySpec_Algorithm = 0
	// Simple grid search within the feasible space. To use grid search,
	// all parameters must be `INTEGER`, `CATEGORICAL`, or `DISCRETE`.
	StudySpec_GRID_SEARCH StudySpec_Algorithm = 2
	// Simple random search within the feasible space.
	StudySpec_RANDOM_SEARCH StudySpec_Algorithm = 3
)

func (StudySpec_Algorithm) Descriptor

func (StudySpec_Algorithm) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_Algorithm) Enum

func (x StudySpec_Algorithm) Enum() *StudySpec_Algorithm

func (StudySpec_Algorithm) EnumDescriptor

func (StudySpec_Algorithm) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_Algorithm.Descriptor instead.

func (StudySpec_Algorithm) Number

func (x StudySpec_Algorithm) Number() protoreflect.EnumNumber

func (StudySpec_Algorithm) String

func (x StudySpec_Algorithm) String() string

func (StudySpec_Algorithm) Type

func (StudySpec_Algorithm) Type() protoreflect.EnumType

StudySpec_ConvexAutomatedStoppingSpec

type StudySpec_ConvexAutomatedStoppingSpec struct {
	MaxStepCount int64 `protobuf:"varint,1,opt,name=max_step_count,json=maxStepCount,proto3" json:"max_step_count,omitempty"`

	MinStepCount int64 `protobuf:"varint,2,opt,name=min_step_count,json=minStepCount,proto3" json:"min_step_count,omitempty"`

	MinMeasurementCount int64 `protobuf:"varint,3,opt,name=min_measurement_count,json=minMeasurementCount,proto3" json:"min_measurement_count,omitempty"`

	LearningRateParameterName string "" /* 140 byte string literal not displayed */

	UseElapsedDuration bool `protobuf:"varint,5,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`

	UpdateAllStoppedTrials *bool "" /* 138 byte string literal not displayed */

}

Configuration for ConvexAutomatedStoppingSpec. When there are enough completed trials (configured by min_measurement_count), for pending trials with enough measurements and steps, the policy first computes an overestimate of the objective value at max_num_steps according to the slope of the incomplete objective value curve. No prediction can be made if the curve is completely flat. If the overestimation is worse than the best objective value of the completed trials, this pending trial will be early-stopped, but a last measurement will be added to the pending trial with max_num_steps and predicted objective value from the autoregression model.

func (*StudySpec_ConvexAutomatedStoppingSpec) Descriptor

func (*StudySpec_ConvexAutomatedStoppingSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ConvexAutomatedStoppingSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ConvexAutomatedStoppingSpec) GetLearningRateParameterName

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetLearningRateParameterName() string

func (*StudySpec_ConvexAutomatedStoppingSpec) GetMaxStepCount

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetMaxStepCount() int64

func (*StudySpec_ConvexAutomatedStoppingSpec) GetMinMeasurementCount

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetMinMeasurementCount() int64

func (*StudySpec_ConvexAutomatedStoppingSpec) GetMinStepCount

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetMinStepCount() int64

func (*StudySpec_ConvexAutomatedStoppingSpec) GetUpdateAllStoppedTrials

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetUpdateAllStoppedTrials() bool

func (*StudySpec_ConvexAutomatedStoppingSpec) GetUseElapsedDuration

func (x *StudySpec_ConvexAutomatedStoppingSpec) GetUseElapsedDuration() bool

func (*StudySpec_ConvexAutomatedStoppingSpec) ProtoMessage

func (*StudySpec_ConvexAutomatedStoppingSpec) ProtoMessage()

func (*StudySpec_ConvexAutomatedStoppingSpec) ProtoReflect

func (x *StudySpec_ConvexAutomatedStoppingSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ConvexAutomatedStoppingSpec) Reset

func (x *StudySpec_ConvexAutomatedStoppingSpec) Reset()

func (*StudySpec_ConvexAutomatedStoppingSpec) String

func (x *StudySpec_ConvexAutomatedStoppingSpec) String() string

StudySpec_ConvexAutomatedStoppingSpec_

type StudySpec_ConvexAutomatedStoppingSpec_ struct {
	// The automated early stopping spec using convex stopping rule.
	ConvexAutomatedStoppingSpec *StudySpec_ConvexAutomatedStoppingSpec `protobuf:"bytes,9,opt,name=convex_automated_stopping_spec,json=convexAutomatedStoppingSpec,proto3,oneof"`
}

StudySpec_DecayCurveAutomatedStoppingSpec

type StudySpec_DecayCurveAutomatedStoppingSpec struct {

	// True if
	// [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]
	// is used as the x-axis of each Trials Decay Curve. Otherwise,
	// [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count]
	// will be used as the x-axis.
	UseElapsedDuration bool `protobuf:"varint,1,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`
	// contains filtered or unexported fields
}

The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial. Early stopping is requested for the current Trial if there is very low probability to exceed the optimal value found so far.

func (*StudySpec_DecayCurveAutomatedStoppingSpec) Descriptor

func (*StudySpec_DecayCurveAutomatedStoppingSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_DecayCurveAutomatedStoppingSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_DecayCurveAutomatedStoppingSpec) GetUseElapsedDuration

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) GetUseElapsedDuration() bool

func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoMessage

func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoMessage()

func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoReflect

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_DecayCurveAutomatedStoppingSpec) Reset

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) Reset()

func (*StudySpec_DecayCurveAutomatedStoppingSpec) String

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) String() string

StudySpec_DecayCurveStoppingSpec

type StudySpec_DecayCurveStoppingSpec struct {
	// The automated early stopping spec using decay curve rule.
	DecayCurveStoppingSpec *StudySpec_DecayCurveAutomatedStoppingSpec `protobuf:"bytes,4,opt,name=decay_curve_stopping_spec,json=decayCurveStoppingSpec,proto3,oneof"`
}

StudySpec_MeasurementSelectionType

type StudySpec_MeasurementSelectionType int32

This indicates which measurement to use if/when the service automatically selects the final measurement from previously reported intermediate measurements. Choose this based on two considerations:

A) Do you expect your measurements to monotonically improve?
   If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
   situation where your system can "over-train" and you expect the
   performance to get better for a while but then start declining,
   choose BEST_MEASUREMENT.
B) Are your measurements significantly noisy and/or irreproducible?
   If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
   may be better to choose LAST_MEASUREMENT.
If both or neither of (A) and (B) apply, it doesn't matter which
selection type is chosen.

StudySpec_MEASUREMENT_SELECTION_TYPE_UNSPECIFIED, StudySpec_LAST_MEASUREMENT, StudySpec_BEST_MEASUREMENT

const (
	// Will be treated as LAST_MEASUREMENT.
	StudySpec_MEASUREMENT_SELECTION_TYPE_UNSPECIFIED StudySpec_MeasurementSelectionType = 0
	// Use the last measurement reported.
	StudySpec_LAST_MEASUREMENT StudySpec_MeasurementSelectionType = 1
	// Use the best measurement reported.
	StudySpec_BEST_MEASUREMENT StudySpec_MeasurementSelectionType = 2
)

func (StudySpec_MeasurementSelectionType) Descriptor

func (StudySpec_MeasurementSelectionType) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_MeasurementSelectionType) Enum

func (x StudySpec_MeasurementSelectionType) Enum() *StudySpec_MeasurementSelectionType

func (StudySpec_MeasurementSelectionType) EnumDescriptor

func (StudySpec_MeasurementSelectionType) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_MeasurementSelectionType.Descriptor instead.

func (StudySpec_MeasurementSelectionType) Number

func (x StudySpec_MeasurementSelectionType) Number() protoreflect.EnumNumber

func (StudySpec_MeasurementSelectionType) String

func (x StudySpec_MeasurementSelectionType) String() string

func (StudySpec_MeasurementSelectionType) Type

func (StudySpec_MeasurementSelectionType) Type() protoreflect.EnumType

StudySpec_MedianAutomatedStoppingSpec

type StudySpec_MedianAutomatedStoppingSpec struct {

	// True if median automated stopping rule applies on
	// [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration].
	// It means that elapsed_duration field of latest measurement of current
	// Trial is used to compute median objective value for each completed
	// Trials.
	UseElapsedDuration bool `protobuf:"varint,1,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`
	// contains filtered or unexported fields
}

The median automated stopping rule stops a pending Trial if the Trial's best objective_value is strictly below the median 'performance' of all completed Trials reported up to the Trial's last measurement. Currently, 'performance' refers to the running average of the objective values reported by the Trial in each measurement.

func (*StudySpec_MedianAutomatedStoppingSpec) Descriptor

func (*StudySpec_MedianAutomatedStoppingSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_MedianAutomatedStoppingSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_MedianAutomatedStoppingSpec) GetUseElapsedDuration

func (x *StudySpec_MedianAutomatedStoppingSpec) GetUseElapsedDuration() bool

func (*StudySpec_MedianAutomatedStoppingSpec) ProtoMessage

func (*StudySpec_MedianAutomatedStoppingSpec) ProtoMessage()

func (*StudySpec_MedianAutomatedStoppingSpec) ProtoReflect

func (x *StudySpec_MedianAutomatedStoppingSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_MedianAutomatedStoppingSpec) Reset

func (x *StudySpec_MedianAutomatedStoppingSpec) Reset()

func (*StudySpec_MedianAutomatedStoppingSpec) String

func (x *StudySpec_MedianAutomatedStoppingSpec) String() string

StudySpec_MedianAutomatedStoppingSpec_

type StudySpec_MedianAutomatedStoppingSpec_ struct {
	// The automated early stopping spec using median rule.
	MedianAutomatedStoppingSpec *StudySpec_MedianAutomatedStoppingSpec `protobuf:"bytes,5,opt,name=median_automated_stopping_spec,json=medianAutomatedStoppingSpec,proto3,oneof"`
}

StudySpec_MetricSpec

type StudySpec_MetricSpec struct {

	// Required. The ID of the metric. Must not contain whitespaces and must be
	// unique amongst all MetricSpecs.
	MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`
	// Required. The optimization goal of the metric.
	Goal StudySpec_MetricSpec_GoalType `protobuf:"varint,2,opt,name=goal,proto3,enum=google.cloud.aiplatform.v1.StudySpec_MetricSpec_GoalType" json:"goal,omitempty"`
	// Used for safe search. In the case, the metric will be a safety
	// metric. You must provide a separate metric for objective metric.
	SafetyConfig *StudySpec_MetricSpec_SafetyMetricConfig `protobuf:"bytes,3,opt,name=safety_config,json=safetyConfig,proto3,oneof" json:"safety_config,omitempty"`
	// contains filtered or unexported fields
}

Represents a metric to optimize.

func (*StudySpec_MetricSpec) Descriptor

func (*StudySpec_MetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_MetricSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_MetricSpec) GetGoal

func (x *StudySpec_MetricSpec) GetGoal() StudySpec_MetricSpec_GoalType

func (*StudySpec_MetricSpec) GetMetricId

func (x *StudySpec_MetricSpec) GetMetricId() string

func (*StudySpec_MetricSpec) GetSafetyConfig

func (x *StudySpec_MetricSpec) GetSafetyConfig() *StudySpec_MetricSpec_SafetyMetricConfig

func (*StudySpec_MetricSpec) ProtoMessage

func (*StudySpec_MetricSpec) ProtoMessage()

func (*StudySpec_MetricSpec) ProtoReflect

func (x *StudySpec_MetricSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_MetricSpec) Reset

func (x *StudySpec_MetricSpec) Reset()

func (*StudySpec_MetricSpec) String

func (x *StudySpec_MetricSpec) String() string

StudySpec_MetricSpec_GoalType

type StudySpec_MetricSpec_GoalType int32

The available types of optimization goals.

StudySpec_MetricSpec_GOAL_TYPE_UNSPECIFIED, StudySpec_MetricSpec_MAXIMIZE, StudySpec_MetricSpec_MINIMIZE

const (
	// Goal Type will default to maximize.
	StudySpec_MetricSpec_GOAL_TYPE_UNSPECIFIED StudySpec_MetricSpec_GoalType = 0
	// Maximize the goal metric.
	StudySpec_MetricSpec_MAXIMIZE StudySpec_MetricSpec_GoalType = 1
	// Minimize the goal metric.
	StudySpec_MetricSpec_MINIMIZE StudySpec_MetricSpec_GoalType = 2
)

func (StudySpec_MetricSpec_GoalType) Descriptor

func (StudySpec_MetricSpec_GoalType) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_MetricSpec_GoalType) Enum

func (x StudySpec_MetricSpec_GoalType) Enum() *StudySpec_MetricSpec_GoalType

func (StudySpec_MetricSpec_GoalType) EnumDescriptor

func (StudySpec_MetricSpec_GoalType) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_MetricSpec_GoalType.Descriptor instead.

func (StudySpec_MetricSpec_GoalType) Number

func (x StudySpec_MetricSpec_GoalType) Number() protoreflect.EnumNumber

func (StudySpec_MetricSpec_GoalType) String

func (x StudySpec_MetricSpec_GoalType) String() string

func (StudySpec_MetricSpec_GoalType) Type

func (StudySpec_MetricSpec_GoalType) Type() protoreflect.EnumType

StudySpec_MetricSpec_SafetyMetricConfig

type StudySpec_MetricSpec_SafetyMetricConfig struct {
	SafetyThreshold float64 `protobuf:"fixed64,1,opt,name=safety_threshold,json=safetyThreshold,proto3" json:"safety_threshold,omitempty"`

	DesiredMinSafeTrialsFraction *float64 "" /* 159 byte string literal not displayed */

}

Used in safe optimization to specify threshold levels and risk tolerance.

func (*StudySpec_MetricSpec_SafetyMetricConfig) Descriptor

func (*StudySpec_MetricSpec_SafetyMetricConfig) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_MetricSpec_SafetyMetricConfig.ProtoReflect.Descriptor instead.

func (*StudySpec_MetricSpec_SafetyMetricConfig) GetDesiredMinSafeTrialsFraction

func (x *StudySpec_MetricSpec_SafetyMetricConfig) GetDesiredMinSafeTrialsFraction() float64

func (*StudySpec_MetricSpec_SafetyMetricConfig) GetSafetyThreshold

func (x *StudySpec_MetricSpec_SafetyMetricConfig) GetSafetyThreshold() float64

func (*StudySpec_MetricSpec_SafetyMetricConfig) ProtoMessage

func (*StudySpec_MetricSpec_SafetyMetricConfig) ProtoMessage()

func (*StudySpec_MetricSpec_SafetyMetricConfig) ProtoReflect

func (x *StudySpec_MetricSpec_SafetyMetricConfig) ProtoReflect() protoreflect.Message

func (*StudySpec_MetricSpec_SafetyMetricConfig) Reset

func (x *StudySpec_MetricSpec_SafetyMetricConfig) Reset()

func (*StudySpec_MetricSpec_SafetyMetricConfig) String

func (x *StudySpec_MetricSpec_SafetyMetricConfig) String() string

StudySpec_ObservationNoise

type StudySpec_ObservationNoise int32

Describes the noise level of the repeated observations.

"Noisy" means that the repeated observations with the same Trial parameters may lead to different metric evaluations.

StudySpec_OBSERVATION_NOISE_UNSPECIFIED, StudySpec_LOW, StudySpec_HIGH

const (
	// The default noise level chosen by Vertex AI.
	StudySpec_OBSERVATION_NOISE_UNSPECIFIED StudySpec_ObservationNoise = 0
	// Vertex AI assumes that the objective function is (nearly)
	// perfectly reproducible, and will never repeat the same Trial
	// parameters.
	StudySpec_LOW StudySpec_ObservationNoise = 1
	// Vertex AI will estimate the amount of noise in metric
	// evaluations, it may repeat the same Trial parameters more than once.
	StudySpec_HIGH StudySpec_ObservationNoise = 2
)

func (StudySpec_ObservationNoise) Descriptor

func (StudySpec_ObservationNoise) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_ObservationNoise) Enum

func (x StudySpec_ObservationNoise) Enum() *StudySpec_ObservationNoise

func (StudySpec_ObservationNoise) EnumDescriptor

func (StudySpec_ObservationNoise) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_ObservationNoise.Descriptor instead.

func (StudySpec_ObservationNoise) Number

func (x StudySpec_ObservationNoise) Number() protoreflect.EnumNumber

func (StudySpec_ObservationNoise) String

func (x StudySpec_ObservationNoise) String() string

func (StudySpec_ObservationNoise) Type

func (StudySpec_ObservationNoise) Type() protoreflect.EnumType

StudySpec_ParameterSpec

type StudySpec_ParameterSpec struct {
	ParameterValueSpec isStudySpec_ParameterSpec_ParameterValueSpec `protobuf_oneof:"parameter_value_spec"`

	ParameterId string `protobuf:"bytes,1,opt,name=parameter_id,json=parameterId,proto3" json:"parameter_id,omitempty"`

	ScaleType StudySpec_ParameterSpec_ScaleType "" /* 155 byte string literal not displayed */

	ConditionalParameterSpecs []*StudySpec_ParameterSpec_ConditionalParameterSpec "" /* 139 byte string literal not displayed */

}

Represents a single parameter to optimize.

func (*StudySpec_ParameterSpec) Descriptor

func (*StudySpec_ParameterSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec) GetCategoricalValueSpec

func (x *StudySpec_ParameterSpec) GetCategoricalValueSpec() *StudySpec_ParameterSpec_CategoricalValueSpec

func (*StudySpec_ParameterSpec) GetConditionalParameterSpecs

func (x *StudySpec_ParameterSpec) GetConditionalParameterSpecs() []*StudySpec_ParameterSpec_ConditionalParameterSpec

func (*StudySpec_ParameterSpec) GetDiscreteValueSpec

func (x *StudySpec_ParameterSpec) GetDiscreteValueSpec() *StudySpec_ParameterSpec_DiscreteValueSpec

func (*StudySpec_ParameterSpec) GetDoubleValueSpec

func (x *StudySpec_ParameterSpec) GetDoubleValueSpec() *StudySpec_ParameterSpec_DoubleValueSpec

func (*StudySpec_ParameterSpec) GetIntegerValueSpec

func (x *StudySpec_ParameterSpec) GetIntegerValueSpec() *StudySpec_ParameterSpec_IntegerValueSpec

func (*StudySpec_ParameterSpec) GetParameterId

func (x *StudySpec_ParameterSpec) GetParameterId() string

func (*StudySpec_ParameterSpec) GetParameterValueSpec

func (m *StudySpec_ParameterSpec) GetParameterValueSpec() isStudySpec_ParameterSpec_ParameterValueSpec

func (*StudySpec_ParameterSpec) GetScaleType

func (x *StudySpec_ParameterSpec) GetScaleType() StudySpec_ParameterSpec_ScaleType

func (*StudySpec_ParameterSpec) ProtoMessage

func (*StudySpec_ParameterSpec) ProtoMessage()

func (*StudySpec_ParameterSpec) ProtoReflect

func (x *StudySpec_ParameterSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec) Reset

func (x *StudySpec_ParameterSpec) Reset()

func (*StudySpec_ParameterSpec) String

func (x *StudySpec_ParameterSpec) String() string

StudySpec_ParameterSpec_CategoricalValueSpec

type StudySpec_ParameterSpec_CategoricalValueSpec struct {

	// Required. The list of possible categories.
	Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// A default value for a `CATEGORICAL` parameter that is assumed to be a
	// relatively good starting point.  Unset value signals that there is no
	// offered starting point.
	//
	// Currently only supported by the Vertex AI Vizier service. Not supported
	// by HyperparameterTuningJob or TrainingPipeline.
	DefaultValue *string `protobuf:"bytes,3,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in CATEGORICAL type.

func (*StudySpec_ParameterSpec_CategoricalValueSpec) Descriptor

func (*StudySpec_ParameterSpec_CategoricalValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_CategoricalValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_CategoricalValueSpec) GetDefaultValue

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) GetDefaultValue() string

func (*StudySpec_ParameterSpec_CategoricalValueSpec) GetValues

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) GetValues() []string

func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoMessage

func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoReflect

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_CategoricalValueSpec) Reset

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) Reset()

func (*StudySpec_ParameterSpec_CategoricalValueSpec) String

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) String() string

StudySpec_ParameterSpec_CategoricalValueSpec_

type StudySpec_ParameterSpec_CategoricalValueSpec_ struct {
	// The value spec for a 'CATEGORICAL' parameter.
	CategoricalValueSpec *StudySpec_ParameterSpec_CategoricalValueSpec `protobuf:"bytes,4,opt,name=categorical_value_spec,json=categoricalValueSpec,proto3,oneof"`
}

StudySpec_ParameterSpec_ConditionalParameterSpec

type StudySpec_ParameterSpec_ConditionalParameterSpec struct {

	// A set of parameter values from the parent ParameterSpec's feasible
	// space.
	//
	// Types that are assignable to ParentValueCondition:
	//	*StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues
	//	*StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues
	//	*StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues
	ParentValueCondition isStudySpec_ParameterSpec_ConditionalParameterSpec_ParentValueCondition `protobuf_oneof:"parent_value_condition"`
	// Required. The spec for a conditional parameter.
	ParameterSpec *StudySpec_ParameterSpec `protobuf:"bytes,1,opt,name=parameter_spec,json=parameterSpec,proto3" json:"parameter_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents a parameter spec with condition from its parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Descriptor

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParameterSpec

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParameterSpec() *StudySpec_ParameterSpec

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentCategoricalValues

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentCategoricalValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentDiscreteValues

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentDiscreteValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentIntValues

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentIntValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentValueCondition

func (m *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentValueCondition() isStudySpec_ParameterSpec_ConditionalParameterSpec_ParentValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoMessage

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoReflect

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Reset

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) String

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) String() string

StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition

type StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition struct {

	// Required. Matches values of the parent parameter of 'CATEGORICAL'
	// type. All values must exist in `categorical_value_spec` of parent
	// parameter.
	Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec to match categorical values from parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Descriptor

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) GetValues

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) GetValues() []string

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoMessage

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoReflect

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Reset

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) String

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) String() string

StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition

type StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition struct {

	// Required. Matches values of the parent parameter of 'DISCRETE' type.
	// All values must exist in `discrete_value_spec` of parent parameter.
	//
	// The Epsilon of the value matching is 1e-10.
	Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec to match discrete values from parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Descriptor

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) GetValues

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) GetValues() []float64

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoMessage

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoReflect

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Reset

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) String

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) String() string

StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition

type StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition struct {

	// Required. Matches values of the parent parameter of 'INTEGER' type.
	// All values must lie in `integer_value_spec` of parent parameter.
	Values []int64 `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec to match integer values from parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Descriptor

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) GetValues

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) GetValues() []int64

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoMessage

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoReflect

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Reset

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) String

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) String() string

StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues struct {
	// The spec for matching values from a parent parameter of
	// `CATEGORICAL` type.
	ParentCategoricalValues *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition `protobuf:"bytes,4,opt,name=parent_categorical_values,json=parentCategoricalValues,proto3,oneof"`
}

StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues struct {
	// The spec for matching values from a parent parameter of
	// `DISCRETE` type.
	ParentDiscreteValues *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition `protobuf:"bytes,2,opt,name=parent_discrete_values,json=parentDiscreteValues,proto3,oneof"`
}

StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues struct {
	// The spec for matching values from a parent parameter of `INTEGER`
	// type.
	ParentIntValues *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition `protobuf:"bytes,3,opt,name=parent_int_values,json=parentIntValues,proto3,oneof"`
}

StudySpec_ParameterSpec_DiscreteValueSpec

type StudySpec_ParameterSpec_DiscreteValueSpec struct {

	// Required. A list of possible values.
	// The list should be in increasing order and at least 1e-10 apart.
	// For instance, this parameter might have possible settings of 1.5, 2.5,
	// and 4.0. This list should not contain more than 1,000 values.
	Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// A default value for a `DISCRETE` parameter that is assumed to be a
	// relatively good starting point.  Unset value signals that there is no
	// offered starting point.  It automatically rounds to the
	// nearest feasible discrete point.
	//
	// Currently only supported by the Vertex AI Vizier service. Not supported
	// by HyperparameterTuningJob or TrainingPipeline.
	DefaultValue *float64 `protobuf:"fixed64,3,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in DISCRETE type.

func (*StudySpec_ParameterSpec_DiscreteValueSpec) Descriptor

func (*StudySpec_ParameterSpec_DiscreteValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_DiscreteValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_DiscreteValueSpec) GetDefaultValue

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) GetDefaultValue() float64

func (*StudySpec_ParameterSpec_DiscreteValueSpec) GetValues

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) GetValues() []float64

func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoMessage

func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoReflect

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_DiscreteValueSpec) Reset

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) Reset()

func (*StudySpec_ParameterSpec_DiscreteValueSpec) String

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) String() string

StudySpec_ParameterSpec_DiscreteValueSpec_

type StudySpec_ParameterSpec_DiscreteValueSpec_ struct {
	// The value spec for a 'DISCRETE' parameter.
	DiscreteValueSpec *StudySpec_ParameterSpec_DiscreteValueSpec `protobuf:"bytes,5,opt,name=discrete_value_spec,json=discreteValueSpec,proto3,oneof"`
}

StudySpec_ParameterSpec_DoubleValueSpec

type StudySpec_ParameterSpec_DoubleValueSpec struct {

	// Required. Inclusive minimum value of the parameter.
	MinValue float64 `protobuf:"fixed64,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	// Required. Inclusive maximum value of the parameter.
	MaxValue float64 `protobuf:"fixed64,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	// A default value for a `DOUBLE` parameter that is assumed to be a
	// relatively good starting point.  Unset value signals that there is no
	// offered starting point.
	//
	// Currently only supported by the Vertex AI Vizier service. Not supported
	// by HyperparameterTuningJob or TrainingPipeline.
	DefaultValue *float64 `protobuf:"fixed64,4,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in DOUBLE type.

func (*StudySpec_ParameterSpec_DoubleValueSpec) Descriptor

func (*StudySpec_ParameterSpec_DoubleValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_DoubleValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_DoubleValueSpec) GetDefaultValue

func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetDefaultValue() float64

func (*StudySpec_ParameterSpec_DoubleValueSpec) GetMaxValue

func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetMaxValue() float64

func (*StudySpec_ParameterSpec_DoubleValueSpec) GetMinValue

func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetMinValue() float64

func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoMessage

func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoReflect

func (x *StudySpec_ParameterSpec_DoubleValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_DoubleValueSpec) Reset

func (x *StudySpec_ParameterSpec_DoubleValueSpec) Reset()

func (*StudySpec_ParameterSpec_DoubleValueSpec) String

func (x *StudySpec_ParameterSpec_DoubleValueSpec) String() string

StudySpec_ParameterSpec_DoubleValueSpec_

type StudySpec_ParameterSpec_DoubleValueSpec_ struct {
	// The value spec for a 'DOUBLE' parameter.
	DoubleValueSpec *StudySpec_ParameterSpec_DoubleValueSpec `protobuf:"bytes,2,opt,name=double_value_spec,json=doubleValueSpec,proto3,oneof"`
}

StudySpec_ParameterSpec_IntegerValueSpec

type StudySpec_ParameterSpec_IntegerValueSpec struct {

	// Required. Inclusive minimum value of the parameter.
	MinValue int64 `protobuf:"varint,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	// Required. Inclusive maximum value of the parameter.
	MaxValue int64 `protobuf:"varint,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	// A default value for an `INTEGER` parameter that is assumed to be a
	// relatively good starting point.  Unset value signals that there is no
	// offered starting point.
	//
	// Currently only supported by the Vertex AI Vizier service. Not supported
	// by HyperparameterTuningJob or TrainingPipeline.
	DefaultValue *int64 `protobuf:"varint,4,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in INTEGER type.

func (*StudySpec_ParameterSpec_IntegerValueSpec) Descriptor

func (*StudySpec_ParameterSpec_IntegerValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_IntegerValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_IntegerValueSpec) GetDefaultValue

func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetDefaultValue() int64

func (*StudySpec_ParameterSpec_IntegerValueSpec) GetMaxValue

func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetMaxValue() int64

func (*StudySpec_ParameterSpec_IntegerValueSpec) GetMinValue

func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetMinValue() int64

func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoMessage

func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoReflect

func (x *StudySpec_ParameterSpec_IntegerValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_IntegerValueSpec) Reset

func (x *StudySpec_ParameterSpec_IntegerValueSpec) Reset()

func (*StudySpec_ParameterSpec_IntegerValueSpec) String

func (x *StudySpec_ParameterSpec_IntegerValueSpec) String() string

StudySpec_ParameterSpec_IntegerValueSpec_

type StudySpec_ParameterSpec_IntegerValueSpec_ struct {
	// The value spec for an 'INTEGER' parameter.
	IntegerValueSpec *StudySpec_ParameterSpec_IntegerValueSpec `protobuf:"bytes,3,opt,name=integer_value_spec,json=integerValueSpec,proto3,oneof"`
}

StudySpec_ParameterSpec_ScaleType

type StudySpec_ParameterSpec_ScaleType int32

The type of scaling that should be applied to this parameter.

StudySpec_ParameterSpec_SCALE_TYPE_UNSPECIFIED, StudySpec_ParameterSpec_UNIT_LINEAR_SCALE, StudySpec_ParameterSpec_UNIT_LOG_SCALE, StudySpec_ParameterSpec_UNIT_REVERSE_LOG_SCALE

const (
	// By default, no scaling is applied.
	StudySpec_ParameterSpec_SCALE_TYPE_UNSPECIFIED StudySpec_ParameterSpec_ScaleType = 0
	// Scales the feasible space to (0, 1) linearly.
	StudySpec_ParameterSpec_UNIT_LINEAR_SCALE StudySpec_ParameterSpec_ScaleType = 1
	// Scales the feasible space logarithmically to (0, 1). The entire
	// feasible space must be strictly positive.
	StudySpec_ParameterSpec_UNIT_LOG_SCALE StudySpec_ParameterSpec_ScaleType = 2
	// Scales the feasible space "reverse" logarithmically to (0, 1). The
	// result is that values close to the top of the feasible space are spread
	// out more than points near the bottom. The entire feasible space must be
	// strictly positive.
	StudySpec_ParameterSpec_UNIT_REVERSE_LOG_SCALE StudySpec_ParameterSpec_ScaleType = 3
)

func (StudySpec_ParameterSpec_ScaleType) Descriptor

func (StudySpec_ParameterSpec_ScaleType) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_ParameterSpec_ScaleType) Enum

func (x StudySpec_ParameterSpec_ScaleType) Enum() *StudySpec_ParameterSpec_ScaleType

func (StudySpec_ParameterSpec_ScaleType) EnumDescriptor

func (StudySpec_ParameterSpec_ScaleType) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ScaleType.Descriptor instead.

func (StudySpec_ParameterSpec_ScaleType) Number

func (x StudySpec_ParameterSpec_ScaleType) Number() protoreflect.EnumNumber

func (StudySpec_ParameterSpec_ScaleType) String

func (x StudySpec_ParameterSpec_ScaleType) String() string

func (StudySpec_ParameterSpec_ScaleType) Type

func (StudySpec_ParameterSpec_ScaleType) Type() protoreflect.EnumType

Study_State

type Study_State int32

Describes the Study state.

Study_STATE_UNSPECIFIED, Study_ACTIVE, Study_INACTIVE, Study_COMPLETED

const (
	// The study state is unspecified.
	Study_STATE_UNSPECIFIED Study_State = 0
	// The study is active.
	Study_ACTIVE Study_State = 1
	// The study is stopped due to an internal error.
	Study_INACTIVE Study_State = 2
	// The study is done when the service exhausts the parameter search space
	// or max_trial_count is reached.
	Study_COMPLETED Study_State = 3
)

func (Study_State) Descriptor

func (Study_State) Descriptor() protoreflect.EnumDescriptor

func (Study_State) Enum

func (x Study_State) Enum() *Study_State

func (Study_State) EnumDescriptor

func (Study_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Study_State.Descriptor instead.

func (Study_State) Number

func (x Study_State) Number() protoreflect.EnumNumber

func (Study_State) String

func (x Study_State) String() string

func (Study_State) Type

func (Study_State) Type() protoreflect.EnumType

SuggestTrialsMetadata

type SuggestTrialsMetadata struct {

	// Operation metadata for suggesting Trials.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The identifier of the client that is requesting the suggestion.
	//
	// If multiple SuggestTrialsRequests have the same `client_id`,
	// the service will return the identical suggested Trial if the Trial is
	// pending, and provide a new Trial if the last suggested Trial was completed.
	ClientId string `protobuf:"bytes,2,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform Trials suggestion.

func (*SuggestTrialsMetadata) Descriptor

func (*SuggestTrialsMetadata) Descriptor() ([]byte, []int)

Deprecated: Use SuggestTrialsMetadata.ProtoReflect.Descriptor instead.

func (*SuggestTrialsMetadata) GetClientId

func (x *SuggestTrialsMetadata) GetClientId() string

func (*SuggestTrialsMetadata) GetGenericMetadata

func (x *SuggestTrialsMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*SuggestTrialsMetadata) ProtoMessage

func (*SuggestTrialsMetadata) ProtoMessage()

func (*SuggestTrialsMetadata) ProtoReflect

func (x *SuggestTrialsMetadata) ProtoReflect() protoreflect.Message

func (*SuggestTrialsMetadata) Reset

func (x *SuggestTrialsMetadata) Reset()

func (*SuggestTrialsMetadata) String

func (x *SuggestTrialsMetadata) String() string

SuggestTrialsRequest

type SuggestTrialsRequest struct {

	// Required. The project and location that the Study belongs to.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The number of suggestions requested. It must be positive.
	SuggestionCount int32 `protobuf:"varint,2,opt,name=suggestion_count,json=suggestionCount,proto3" json:"suggestion_count,omitempty"`
	// Required. The identifier of the client that is requesting the suggestion.
	//
	// If multiple SuggestTrialsRequests have the same `client_id`,
	// the service will return the identical suggested Trial if the Trial is
	// pending, and provide a new Trial if the last suggested Trial was completed.
	ClientId string `protobuf:"bytes,3,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].

func (*SuggestTrialsRequest) Descriptor

func (*SuggestTrialsRequest) Descriptor() ([]byte, []int)

Deprecated: Use SuggestTrialsRequest.ProtoReflect.Descriptor instead.

func (*SuggestTrialsRequest) GetClientId

func (x *SuggestTrialsRequest) GetClientId() string

func (*SuggestTrialsRequest) GetParent

func (x *SuggestTrialsRequest) GetParent() string

func (*SuggestTrialsRequest) GetSuggestionCount

func (x *SuggestTrialsRequest) GetSuggestionCount() int32

func (*SuggestTrialsRequest) ProtoMessage

func (*SuggestTrialsRequest) ProtoMessage()

func (*SuggestTrialsRequest) ProtoReflect

func (x *SuggestTrialsRequest) ProtoReflect() protoreflect.Message

func (*SuggestTrialsRequest) Reset

func (x *SuggestTrialsRequest) Reset()

func (*SuggestTrialsRequest) String

func (x *SuggestTrialsRequest) String() string

SuggestTrialsResponse

type SuggestTrialsResponse struct {
	Trials []*Trial `protobuf:"bytes,1,rep,name=trials,proto3" json:"trials,omitempty"`

	StudyState Study_State "" /* 136 byte string literal not displayed */

	StartTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

}

Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].

func (*SuggestTrialsResponse) Descriptor

func (*SuggestTrialsResponse) Descriptor() ([]byte, []int)

Deprecated: Use SuggestTrialsResponse.ProtoReflect.Descriptor instead.

func (*SuggestTrialsResponse) GetEndTime

func (x *SuggestTrialsResponse) GetEndTime() *timestamppb.Timestamp

func (*SuggestTrialsResponse) GetStartTime

func (x *SuggestTrialsResponse) GetStartTime() *timestamppb.Timestamp

func (*SuggestTrialsResponse) GetStudyState

func (x *SuggestTrialsResponse) GetStudyState() Study_State

func (*SuggestTrialsResponse) GetTrials

func (x *SuggestTrialsResponse) GetTrials() []*Trial

func (*SuggestTrialsResponse) ProtoMessage

func (*SuggestTrialsResponse) ProtoMessage()

func (*SuggestTrialsResponse) ProtoReflect

func (x *SuggestTrialsResponse) ProtoReflect() protoreflect.Message

func (*SuggestTrialsResponse) Reset

func (x *SuggestTrialsResponse) Reset()

func (*SuggestTrialsResponse) String

func (x *SuggestTrialsResponse) String() string

TFRecordDestination

type TFRecordDestination struct {

	// Required. Google Cloud Storage location.
	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3" json:"gcs_destination,omitempty"`
	// contains filtered or unexported fields
}

The storage details for TFRecord output content.

func (*TFRecordDestination) Descriptor

func (*TFRecordDestination) Descriptor() ([]byte, []int)

Deprecated: Use TFRecordDestination.ProtoReflect.Descriptor instead.

func (*TFRecordDestination) GetGcsDestination

func (x *TFRecordDestination) GetGcsDestination() *GcsDestination

func (*TFRecordDestination) ProtoMessage

func (*TFRecordDestination) ProtoMessage()

func (*TFRecordDestination) ProtoReflect

func (x *TFRecordDestination) ProtoReflect() protoreflect.Message

func (*TFRecordDestination) Reset

func (x *TFRecordDestination) Reset()

func (*TFRecordDestination) String

func (x *TFRecordDestination) String() string

Tensorboard

type Tensorboard struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,11,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

	BlobStoragePathPrefix string "" /* 129 byte string literal not displayed */

	RunCount int32 `protobuf:"varint,5,opt,name=run_count,json=runCount,proto3" json:"run_count,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`

	IsDefault bool `protobuf:"varint,12,opt,name=is_default,json=isDefault,proto3" json:"is_default,omitempty"`

}

Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a Google Cloud project. If needed users can also create extra Tensorboards in their projects.

func (*Tensorboard) Descriptor

func (*Tensorboard) Descriptor() ([]byte, []int)

Deprecated: Use Tensorboard.ProtoReflect.Descriptor instead.

func (*Tensorboard) GetBlobStoragePathPrefix

func (x *Tensorboard) GetBlobStoragePathPrefix() string

func (*Tensorboard) GetCreateTime

func (x *Tensorboard) GetCreateTime() *timestamppb.Timestamp

func (*Tensorboard) GetDescription

func (x *Tensorboard) GetDescription() string

func (*Tensorboard) GetDisplayName

func (x *Tensorboard) GetDisplayName() string

func (*Tensorboard) GetEncryptionSpec

func (x *Tensorboard) GetEncryptionSpec() *EncryptionSpec

func (*Tensorboard) GetEtag

func (x *Tensorboard) GetEtag() string

func (*Tensorboard) GetIsDefault

func (x *Tensorboard) GetIsDefault() bool

func (*Tensorboard) GetLabels

func (x *Tensorboard) GetLabels() map[string]string

func (*Tensorboard) GetName

func (x *Tensorboard) GetName() string

func (*Tensorboard) GetRunCount

func (x *Tensorboard) GetRunCount() int32

func (*Tensorboard) GetUpdateTime

func (x *Tensorboard) GetUpdateTime() *timestamppb.Timestamp

func (*Tensorboard) ProtoMessage

func (*Tensorboard) ProtoMessage()

func (*Tensorboard) ProtoReflect

func (x *Tensorboard) ProtoReflect() protoreflect.Message

func (*Tensorboard) Reset

func (x *Tensorboard) Reset()

func (*Tensorboard) String

func (x *Tensorboard) String() string

TensorboardBlob

type TensorboardBlob struct {

	// Output only. A URI safe key uniquely identifying a blob. Can be used to
	// locate the blob stored in the Cloud Storage bucket of the consumer project.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Optional. The bytes of the blob is not present unless it's returned by the
	// ReadTensorboardBlobData endpoint.
	Data []byte `protobuf:"bytes,2,opt,name=data,proto3" json:"data,omitempty"`
	// contains filtered or unexported fields
}

One blob (e.g, image, graph) viewable on a blob metric plot.

func (*TensorboardBlob) Descriptor

func (*TensorboardBlob) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardBlob.ProtoReflect.Descriptor instead.

func (*TensorboardBlob) GetData

func (x *TensorboardBlob) GetData() []byte

func (*TensorboardBlob) GetId

func (x *TensorboardBlob) GetId() string

func (*TensorboardBlob) ProtoMessage

func (*TensorboardBlob) ProtoMessage()

func (*TensorboardBlob) ProtoReflect

func (x *TensorboardBlob) ProtoReflect() protoreflect.Message

func (*TensorboardBlob) Reset

func (x *TensorboardBlob) Reset()

func (*TensorboardBlob) String

func (x *TensorboardBlob) String() string

TensorboardBlobSequence

type TensorboardBlobSequence struct {

	// List of blobs contained within the sequence.
	Values []*TensorboardBlob `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

One point viewable on a blob metric plot, but mostly just a wrapper message to work around repeated fields can't be used directly within oneof fields.

func (*TensorboardBlobSequence) Descriptor

func (*TensorboardBlobSequence) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardBlobSequence.ProtoReflect.Descriptor instead.

func (*TensorboardBlobSequence) GetValues

func (x *TensorboardBlobSequence) GetValues() []*TensorboardBlob

func (*TensorboardBlobSequence) ProtoMessage

func (*TensorboardBlobSequence) ProtoMessage()

func (*TensorboardBlobSequence) ProtoReflect

func (x *TensorboardBlobSequence) ProtoReflect() protoreflect.Message

func (*TensorboardBlobSequence) Reset

func (x *TensorboardBlobSequence) Reset()

func (*TensorboardBlobSequence) String

func (x *TensorboardBlobSequence) String() string

TensorboardExperiment

type TensorboardExperiment struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`

	Source string `protobuf:"bytes,8,opt,name=source,proto3" json:"source,omitempty"`

}

A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.

func (*TensorboardExperiment) Descriptor

func (*TensorboardExperiment) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardExperiment.ProtoReflect.Descriptor instead.

func (*TensorboardExperiment) GetCreateTime

func (x *TensorboardExperiment) GetCreateTime() *timestamppb.Timestamp

func (*TensorboardExperiment) GetDescription

func (x *TensorboardExperiment) GetDescription() string

func (*TensorboardExperiment) GetDisplayName

func (x *TensorboardExperiment) GetDisplayName() string

func (*TensorboardExperiment) GetEtag

func (x *TensorboardExperiment) GetEtag() string

func (*TensorboardExperiment) GetLabels

func (x *TensorboardExperiment) GetLabels() map[string]string

func (*TensorboardExperiment) GetName

func (x *TensorboardExperiment) GetName() string

func (*TensorboardExperiment) GetSource

func (x *TensorboardExperiment) GetSource() string

func (*TensorboardExperiment) GetUpdateTime

func (x *TensorboardExperiment) GetUpdateTime() *timestamppb.Timestamp

func (*TensorboardExperiment) ProtoMessage

func (*TensorboardExperiment) ProtoMessage()

func (*TensorboardExperiment) ProtoReflect

func (x *TensorboardExperiment) ProtoReflect() protoreflect.Message

func (*TensorboardExperiment) Reset

func (x *TensorboardExperiment) Reset()

func (*TensorboardExperiment) String

func (x *TensorboardExperiment) String() string

TensorboardRun

type TensorboardRun struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Labels map[string]string "" /* 153 byte string literal not displayed */

	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`

}

TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc

func (*TensorboardRun) Descriptor

func (*TensorboardRun) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardRun.ProtoReflect.Descriptor instead.

func (*TensorboardRun) GetCreateTime

func (x *TensorboardRun) GetCreateTime() *timestamppb.Timestamp

func (*TensorboardRun) GetDescription

func (x *TensorboardRun) GetDescription() string

func (*TensorboardRun) GetDisplayName

func (x *TensorboardRun) GetDisplayName() string

func (*TensorboardRun) GetEtag

func (x *TensorboardRun) GetEtag() string

func (*TensorboardRun) GetLabels

func (x *TensorboardRun) GetLabels() map[string]string

func (*TensorboardRun) GetName

func (x *TensorboardRun) GetName() string

func (*TensorboardRun) GetUpdateTime

func (x *TensorboardRun) GetUpdateTime() *timestamppb.Timestamp

func (*TensorboardRun) ProtoMessage

func (*TensorboardRun) ProtoMessage()

func (*TensorboardRun) ProtoReflect

func (x *TensorboardRun) ProtoReflect() protoreflect.Message

func (*TensorboardRun) Reset

func (x *TensorboardRun) Reset()

func (*TensorboardRun) String

func (x *TensorboardRun) String() string

TensorboardServiceClient

type TensorboardServiceClient interface {
	// Creates a Tensorboard.
	CreateTensorboard(ctx context.Context, in *CreateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a Tensorboard.
	GetTensorboard(ctx context.Context, in *GetTensorboardRequest, opts ...grpc.CallOption) (*Tensorboard, error)
	// Returns a list of monthly active users for a given TensorBoard instance.
	ReadTensorboardUsage(ctx context.Context, in *ReadTensorboardUsageRequest, opts ...grpc.CallOption) (*ReadTensorboardUsageResponse, error)
	// Updates a Tensorboard.
	UpdateTensorboard(ctx context.Context, in *UpdateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Lists Tensorboards in a Location.
	ListTensorboards(ctx context.Context, in *ListTensorboardsRequest, opts ...grpc.CallOption) (*ListTensorboardsResponse, error)
	// Deletes a Tensorboard.
	DeleteTensorboard(ctx context.Context, in *DeleteTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a TensorboardExperiment.
	CreateTensorboardExperiment(ctx context.Context, in *CreateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
	// Gets a TensorboardExperiment.
	GetTensorboardExperiment(ctx context.Context, in *GetTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
	// Updates a TensorboardExperiment.
	UpdateTensorboardExperiment(ctx context.Context, in *UpdateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
	// Lists TensorboardExperiments in a Location.
	ListTensorboardExperiments(ctx context.Context, in *ListTensorboardExperimentsRequest, opts ...grpc.CallOption) (*ListTensorboardExperimentsResponse, error)
	// Deletes a TensorboardExperiment.
	DeleteTensorboardExperiment(ctx context.Context, in *DeleteTensorboardExperimentRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Creates a TensorboardRun.
	CreateTensorboardRun(ctx context.Context, in *CreateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
	// Batch create TensorboardRuns.
	BatchCreateTensorboardRuns(ctx context.Context, in *BatchCreateTensorboardRunsRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardRunsResponse, error)
	// Gets a TensorboardRun.
	GetTensorboardRun(ctx context.Context, in *GetTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
	// Updates a TensorboardRun.
	UpdateTensorboardRun(ctx context.Context, in *UpdateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
	// Lists TensorboardRuns in a Location.
	ListTensorboardRuns(ctx context.Context, in *ListTensorboardRunsRequest, opts ...grpc.CallOption) (*ListTensorboardRunsResponse, error)
	// Deletes a TensorboardRun.
	DeleteTensorboardRun(ctx context.Context, in *DeleteTensorboardRunRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
	BatchCreateTensorboardTimeSeries(ctx context.Context, in *BatchCreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardTimeSeriesResponse, error)
	// Creates a TensorboardTimeSeries.
	CreateTensorboardTimeSeries(ctx context.Context, in *CreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
	// Gets a TensorboardTimeSeries.
	GetTensorboardTimeSeries(ctx context.Context, in *GetTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
	// Updates a TensorboardTimeSeries.
	UpdateTensorboardTimeSeries(ctx context.Context, in *UpdateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
	// Lists TensorboardTimeSeries in a Location.
	ListTensorboardTimeSeries(ctx context.Context, in *ListTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*ListTensorboardTimeSeriesResponse, error)
	// Deletes a TensorboardTimeSeries.
	DeleteTensorboardTimeSeries(ctx context.Context, in *DeleteTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Reads multiple TensorboardTimeSeries' data. The data point number limit is
	// 1000 for scalars, 100 for tensors and blob references. If the number of
	// data points stored is less than the limit, all data is returned.
	// Otherwise, the number limit of data points is randomly selected from
	// this time series and returned.
	BatchReadTensorboardTimeSeriesData(ctx context.Context, in *BatchReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*BatchReadTensorboardTimeSeriesDataResponse, error)
	// Reads a TensorboardTimeSeries' data. By default, if the number of data
	// points stored is less than 1000, all data is returned. Otherwise, 1000
	// data points is randomly selected from this time series and returned.
	// This value can be changed by changing max_data_points, which can't be
	// greater than 10k.
	ReadTensorboardTimeSeriesData(ctx context.Context, in *ReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ReadTensorboardTimeSeriesDataResponse, error)
	// Gets bytes of TensorboardBlobs.
	// This is to allow reading blob data stored in consumer project's Cloud
	// Storage bucket without users having to obtain Cloud Storage access
	// permission.
	ReadTensorboardBlobData(ctx context.Context, in *ReadTensorboardBlobDataRequest, opts ...grpc.CallOption) (TensorboardService_ReadTensorboardBlobDataClient, error)
	// Write time series data points of multiple TensorboardTimeSeries in multiple
	// TensorboardRun's. If any data fail to be ingested, an error is returned.
	WriteTensorboardExperimentData(ctx context.Context, in *WriteTensorboardExperimentDataRequest, opts ...grpc.CallOption) (*WriteTensorboardExperimentDataResponse, error)
	// Write time series data points into multiple TensorboardTimeSeries under
	// a TensorboardRun. If any data fail to be ingested, an error is returned.
	WriteTensorboardRunData(ctx context.Context, in *WriteTensorboardRunDataRequest, opts ...grpc.CallOption) (*WriteTensorboardRunDataResponse, error)
	// Exports a TensorboardTimeSeries' data. Data is returned in paginated
	// responses.
	ExportTensorboardTimeSeriesData(ctx context.Context, in *ExportTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ExportTensorboardTimeSeriesDataResponse, error)
}

TensorboardServiceClient is the client API for TensorboardService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewTensorboardServiceClient

func NewTensorboardServiceClient(cc grpc.ClientConnInterface) TensorboardServiceClient

TensorboardServiceServer

type TensorboardServiceServer interface {
	// Creates a Tensorboard.
	CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunningpb.Operation, error)
	// Gets a Tensorboard.
	GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error)
	// Returns a list of monthly active users for a given TensorBoard instance.
	ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error)
	// Updates a Tensorboard.
	UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunningpb.Operation, error)
	// Lists Tensorboards in a Location.
	ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error)
	// Deletes a Tensorboard.
	DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunningpb.Operation, error)
	// Creates a TensorboardExperiment.
	CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error)
	// Gets a TensorboardExperiment.
	GetTensorboardExperiment(context.Context, *GetTensorboardExperimentRequest) (*TensorboardExperiment, error)
	// Updates a TensorboardExperiment.
	UpdateTensorboardExperiment(context.Context, *UpdateTensorboardExperimentRequest) (*TensorboardExperiment, error)
	// Lists TensorboardExperiments in a Location.
	ListTensorboardExperiments(context.Context, *ListTensorboardExperimentsRequest) (*ListTensorboardExperimentsResponse, error)
	// Deletes a TensorboardExperiment.
	DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunningpb.Operation, error)
	// Creates a TensorboardRun.
	CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error)
	// Batch create TensorboardRuns.
	BatchCreateTensorboardRuns(context.Context, *BatchCreateTensorboardRunsRequest) (*BatchCreateTensorboardRunsResponse, error)
	// Gets a TensorboardRun.
	GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error)
	// Updates a TensorboardRun.
	UpdateTensorboardRun(context.Context, *UpdateTensorboardRunRequest) (*TensorboardRun, error)
	// Lists TensorboardRuns in a Location.
	ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error)
	// Deletes a TensorboardRun.
	DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunningpb.Operation, error)
	// Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
	BatchCreateTensorboardTimeSeries(context.Context, *BatchCreateTensorboardTimeSeriesRequest) (*BatchCreateTensorboardTimeSeriesResponse, error)
	// Creates a TensorboardTimeSeries.
	CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
	// Gets a TensorboardTimeSeries.
	GetTensorboardTimeSeries(context.Context, *GetTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
	// Updates a TensorboardTimeSeries.
	UpdateTensorboardTimeSeries(context.Context, *UpdateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
	// Lists TensorboardTimeSeries in a Location.
	ListTensorboardTimeSeries(context.Context, *ListTensorboardTimeSeriesRequest) (*ListTensorboardTimeSeriesResponse, error)
	// Deletes a TensorboardTimeSeries.
	DeleteTensorboardTimeSeries(context.Context, *DeleteTensorboardTimeSeriesRequest) (*longrunningpb.Operation, error)
	// Reads multiple TensorboardTimeSeries' data. The data point number limit is
	// 1000 for scalars, 100 for tensors and blob references. If the number of
	// data points stored is less than the limit, all data is returned.
	// Otherwise, the number limit of data points is randomly selected from
	// this time series and returned.
	BatchReadTensorboardTimeSeriesData(context.Context, *BatchReadTensorboardTimeSeriesDataRequest) (*BatchReadTensorboardTimeSeriesDataResponse, error)
	// Reads a TensorboardTimeSeries' data. By default, if the number of data
	// points stored is less than 1000, all data is returned. Otherwise, 1000
	// data points is randomly selected from this time series and returned.
	// This value can be changed by changing max_data_points, which can't be
	// greater than 10k.
	ReadTensorboardTimeSeriesData(context.Context, *ReadTensorboardTimeSeriesDataRequest) (*ReadTensorboardTimeSeriesDataResponse, error)
	// Gets bytes of TensorboardBlobs.
	// This is to allow reading blob data stored in consumer project's Cloud
	// Storage bucket without users having to obtain Cloud Storage access
	// permission.
	ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error
	// Write time series data points of multiple TensorboardTimeSeries in multiple
	// TensorboardRun's. If any data fail to be ingested, an error is returned.
	WriteTensorboardExperimentData(context.Context, *WriteTensorboardExperimentDataRequest) (*WriteTensorboardExperimentDataResponse, error)
	// Write time series data points into multiple TensorboardTimeSeries under
	// a TensorboardRun. If any data fail to be ingested, an error is returned.
	WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error)
	// Exports a TensorboardTimeSeries' data. Data is returned in paginated
	// responses.
	ExportTensorboardTimeSeriesData(context.Context, *ExportTensorboardTimeSeriesDataRequest) (*ExportTensorboardTimeSeriesDataResponse, error)
}

TensorboardServiceServer is the server API for TensorboardService service.

TensorboardService_ReadTensorboardBlobDataClient

type TensorboardService_ReadTensorboardBlobDataClient interface {
	Recv() (*ReadTensorboardBlobDataResponse, error)
	grpc.ClientStream
}

TensorboardService_ReadTensorboardBlobDataServer

type TensorboardService_ReadTensorboardBlobDataServer interface {
	Send(*ReadTensorboardBlobDataResponse) error
	grpc.ServerStream
}

TensorboardTensor

type TensorboardTensor struct {

	// Required. Serialized form of
	// https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/tensor.proto
	Value []byte `protobuf:"bytes,1,opt,name=value,proto3" json:"value,omitempty"`
	// Optional. Version number of TensorProto used to serialize
	// [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
	VersionNumber int32 `protobuf:"varint,2,opt,name=version_number,json=versionNumber,proto3" json:"version_number,omitempty"`
	// contains filtered or unexported fields
}

One point viewable on a tensor metric plot.

func (*TensorboardTensor) Descriptor

func (*TensorboardTensor) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardTensor.ProtoReflect.Descriptor instead.

func (*TensorboardTensor) GetValue

func (x *TensorboardTensor) GetValue() []byte

func (*TensorboardTensor) GetVersionNumber

func (x *TensorboardTensor) GetVersionNumber() int32

func (*TensorboardTensor) ProtoMessage

func (*TensorboardTensor) ProtoMessage()

func (*TensorboardTensor) ProtoReflect

func (x *TensorboardTensor) ProtoReflect() protoreflect.Message

func (*TensorboardTensor) Reset

func (x *TensorboardTensor) Reset()

func (*TensorboardTensor) String

func (x *TensorboardTensor) String() string

TensorboardTimeSeries

type TensorboardTimeSeries struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`

	ValueType TensorboardTimeSeries_ValueType "" /* 153 byte string literal not displayed */

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`

	PluginName string `protobuf:"bytes,8,opt,name=plugin_name,json=pluginName,proto3" json:"plugin_name,omitempty"`

	PluginData []byte `protobuf:"bytes,9,opt,name=plugin_data,json=pluginData,proto3" json:"plugin_data,omitempty"`

	Metadata *TensorboardTimeSeries_Metadata `protobuf:"bytes,10,opt,name=metadata,proto3" json:"metadata,omitempty"`

}

TensorboardTimeSeries maps to times series produced in training runs

func (*TensorboardTimeSeries) Descriptor

func (*TensorboardTimeSeries) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardTimeSeries.ProtoReflect.Descriptor instead.

func (*TensorboardTimeSeries) GetCreateTime

func (x *TensorboardTimeSeries) GetCreateTime() *timestamppb.Timestamp

func (*TensorboardTimeSeries) GetDescription

func (x *TensorboardTimeSeries) GetDescription() string

func (*TensorboardTimeSeries) GetDisplayName

func (x *TensorboardTimeSeries) GetDisplayName() string

func (*TensorboardTimeSeries) GetEtag

func (x *TensorboardTimeSeries) GetEtag() string

func (*TensorboardTimeSeries) GetMetadata

func (x *TensorboardTimeSeries) GetMetadata() *TensorboardTimeSeries_Metadata

func (*TensorboardTimeSeries) GetName

func (x *TensorboardTimeSeries) GetName() string

func (*TensorboardTimeSeries) GetPluginData

func (x *TensorboardTimeSeries) GetPluginData() []byte

func (*TensorboardTimeSeries) GetPluginName

func (x *TensorboardTimeSeries) GetPluginName() string

func (*TensorboardTimeSeries) GetUpdateTime

func (x *TensorboardTimeSeries) GetUpdateTime() *timestamppb.Timestamp

func (*TensorboardTimeSeries) GetValueType

func (x *TensorboardTimeSeries) GetValueType() TensorboardTimeSeries_ValueType

func (*TensorboardTimeSeries) ProtoMessage

func (*TensorboardTimeSeries) ProtoMessage()

func (*TensorboardTimeSeries) ProtoReflect

func (x *TensorboardTimeSeries) ProtoReflect() protoreflect.Message

func (*TensorboardTimeSeries) Reset

func (x *TensorboardTimeSeries) Reset()

func (*TensorboardTimeSeries) String

func (x *TensorboardTimeSeries) String() string

TensorboardTimeSeries_Metadata

type TensorboardTimeSeries_Metadata struct {
	MaxStep int64 `protobuf:"varint,1,opt,name=max_step,json=maxStep,proto3" json:"max_step,omitempty"`

	MaxWallTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=max_wall_time,json=maxWallTime,proto3" json:"max_wall_time,omitempty"`

	MaxBlobSequenceLength int64 "" /* 129 byte string literal not displayed */

}

Describes metadata for a TensorboardTimeSeries.

func (*TensorboardTimeSeries_Metadata) Descriptor

func (*TensorboardTimeSeries_Metadata) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardTimeSeries_Metadata.ProtoReflect.Descriptor instead.

func (*TensorboardTimeSeries_Metadata) GetMaxBlobSequenceLength

func (x *TensorboardTimeSeries_Metadata) GetMaxBlobSequenceLength() int64

func (*TensorboardTimeSeries_Metadata) GetMaxStep

func (x *TensorboardTimeSeries_Metadata) GetMaxStep() int64

func (*TensorboardTimeSeries_Metadata) GetMaxWallTime

func (x *TensorboardTimeSeries_Metadata) GetMaxWallTime() *timestamppb.Timestamp

func (*TensorboardTimeSeries_Metadata) ProtoMessage

func (*TensorboardTimeSeries_Metadata) ProtoMessage()

func (*TensorboardTimeSeries_Metadata) ProtoReflect

func (x *TensorboardTimeSeries_Metadata) ProtoReflect() protoreflect.Message

func (*TensorboardTimeSeries_Metadata) Reset

func (x *TensorboardTimeSeries_Metadata) Reset()

func (*TensorboardTimeSeries_Metadata) String

func (x *TensorboardTimeSeries_Metadata) String() string

TensorboardTimeSeries_ValueType

type TensorboardTimeSeries_ValueType int32

An enum representing the value type of a TensorboardTimeSeries.

TensorboardTimeSeries_VALUE_TYPE_UNSPECIFIED, TensorboardTimeSeries_SCALAR, TensorboardTimeSeries_TENSOR, TensorboardTimeSeries_BLOB_SEQUENCE

const (
	// The value type is unspecified.
	TensorboardTimeSeries_VALUE_TYPE_UNSPECIFIED TensorboardTimeSeries_ValueType = 0
	// Used for TensorboardTimeSeries that is a list of scalars.
	// E.g. accuracy of a model over epochs/time.
	TensorboardTimeSeries_SCALAR TensorboardTimeSeries_ValueType = 1
	// Used for TensorboardTimeSeries that is a list of tensors.
	// E.g. histograms of weights of layer in a model over epoch/time.
	TensorboardTimeSeries_TENSOR TensorboardTimeSeries_ValueType = 2
	// Used for TensorboardTimeSeries that is a list of blob sequences.
	// E.g. set of sample images with labels over epochs/time.
	TensorboardTimeSeries_BLOB_SEQUENCE TensorboardTimeSeries_ValueType = 3
)

func (TensorboardTimeSeries_ValueType) Descriptor

func (TensorboardTimeSeries_ValueType) Descriptor() protoreflect.EnumDescriptor

func (TensorboardTimeSeries_ValueType) Enum

func (x TensorboardTimeSeries_ValueType) Enum() *TensorboardTimeSeries_ValueType

func (TensorboardTimeSeries_ValueType) EnumDescriptor

func (TensorboardTimeSeries_ValueType) EnumDescriptor() ([]byte, []int)

Deprecated: Use TensorboardTimeSeries_ValueType.Descriptor instead.

func (TensorboardTimeSeries_ValueType) Number

func (x TensorboardTimeSeries_ValueType) Number() protoreflect.EnumNumber

func (TensorboardTimeSeries_ValueType) String

func (x TensorboardTimeSeries_ValueType) String() string

func (TensorboardTimeSeries_ValueType) Type

func (TensorboardTimeSeries_ValueType) Type() protoreflect.EnumType

ThresholdConfig

type ThresholdConfig struct {

	// Types that are assignable to Threshold:
	//	*ThresholdConfig_Value
	Threshold isThresholdConfig_Threshold `protobuf_oneof:"threshold"`
	// contains filtered or unexported fields
}

The config for feature monitoring threshold.

func (*ThresholdConfig) Descriptor

func (*ThresholdConfig) Descriptor() ([]byte, []int)

Deprecated: Use ThresholdConfig.ProtoReflect.Descriptor instead.

func (*ThresholdConfig) GetThreshold

func (m *ThresholdConfig) GetThreshold() isThresholdConfig_Threshold

func (*ThresholdConfig) GetValue

func (x *ThresholdConfig) GetValue() float64

func (*ThresholdConfig) ProtoMessage

func (*ThresholdConfig) ProtoMessage()

func (*ThresholdConfig) ProtoReflect

func (x *ThresholdConfig) ProtoReflect() protoreflect.Message

func (*ThresholdConfig) Reset

func (x *ThresholdConfig) Reset()

func (*ThresholdConfig) String

func (x *ThresholdConfig) String() string

ThresholdConfig_Value

type ThresholdConfig_Value struct {
	// Specify a threshold value that can trigger the alert.
	// If this threshold config is for feature distribution distance:
	//   1. For categorical feature, the distribution distance is calculated by
	//      L-inifinity norm.
	//   2. For numerical feature, the distribution distance is calculated by
	//      Jensen–Shannon divergence.
	// Each feature must have a non-zero threshold if they need to be monitored.
	// Otherwise no alert will be triggered for that feature.
	Value float64 `protobuf:"fixed64,1,opt,name=value,proto3,oneof"`
}

TimeSeriesData

type TimeSeriesData struct {
	TensorboardTimeSeriesId string "" /* 134 byte string literal not displayed */

	ValueType TensorboardTimeSeries_ValueType "" /* 153 byte string literal not displayed */

	Values []*TimeSeriesDataPoint `protobuf:"bytes,3,rep,name=values,proto3" json:"values,omitempty"`

}

All the data stored in a TensorboardTimeSeries.

func (*TimeSeriesData) Descriptor

func (*TimeSeriesData) Descriptor() ([]byte, []int)

Deprecated: Use TimeSeriesData.ProtoReflect.Descriptor instead.

func (*TimeSeriesData) GetTensorboardTimeSeriesId

func (x *TimeSeriesData) GetTensorboardTimeSeriesId() string

func (*TimeSeriesData) GetValueType

func (x *TimeSeriesData) GetValueType() TensorboardTimeSeries_ValueType

func (*TimeSeriesData) GetValues

func (x *TimeSeriesData) GetValues() []*TimeSeriesDataPoint

func (*TimeSeriesData) ProtoMessage

func (*TimeSeriesData) ProtoMessage()

func (*TimeSeriesData) ProtoReflect

func (x *TimeSeriesData) ProtoReflect() protoreflect.Message

func (*TimeSeriesData) Reset

func (x *TimeSeriesData) Reset()

func (*TimeSeriesData) String

func (x *TimeSeriesData) String() string

TimeSeriesDataPoint

type TimeSeriesDataPoint struct {

	// Value of this time series data point.
	//
	// Types that are assignable to Value:
	//	*TimeSeriesDataPoint_Scalar
	//	*TimeSeriesDataPoint_Tensor
	//	*TimeSeriesDataPoint_Blobs
	Value isTimeSeriesDataPoint_Value `protobuf_oneof:"value"`
	// Wall clock timestamp when this data point is generated by the end user.
	WallTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=wall_time,json=wallTime,proto3" json:"wall_time,omitempty"`
	// Step index of this data point within the run.
	Step int64 `protobuf:"varint,2,opt,name=step,proto3" json:"step,omitempty"`
	// contains filtered or unexported fields
}

A TensorboardTimeSeries data point.

func (*TimeSeriesDataPoint) Descriptor

func (*TimeSeriesDataPoint) Descriptor() ([]byte, []int)

Deprecated: Use TimeSeriesDataPoint.ProtoReflect.Descriptor instead.

func (*TimeSeriesDataPoint) GetBlobs

func (x *TimeSeriesDataPoint) GetBlobs() *TensorboardBlobSequence

func (*TimeSeriesDataPoint) GetScalar

func (x *TimeSeriesDataPoint) GetScalar() *Scalar

func (*TimeSeriesDataPoint) GetStep

func (x *TimeSeriesDataPoint) GetStep() int64

func (*TimeSeriesDataPoint) GetTensor

func (x *TimeSeriesDataPoint) GetTensor() *TensorboardTensor

func (*TimeSeriesDataPoint) GetValue

func (m *TimeSeriesDataPoint) GetValue() isTimeSeriesDataPoint_Value

func (*TimeSeriesDataPoint) GetWallTime

func (x *TimeSeriesDataPoint) GetWallTime() *timestamppb.Timestamp

func (*TimeSeriesDataPoint) ProtoMessage

func (*TimeSeriesDataPoint) ProtoMessage()

func (*TimeSeriesDataPoint) ProtoReflect

func (x *TimeSeriesDataPoint) ProtoReflect() protoreflect.Message

func (*TimeSeriesDataPoint) Reset

func (x *TimeSeriesDataPoint) Reset()

func (*TimeSeriesDataPoint) String

func (x *TimeSeriesDataPoint) String() string

TimeSeriesDataPoint_Blobs

type TimeSeriesDataPoint_Blobs struct {
	// A blob sequence value.
	Blobs *TensorboardBlobSequence `protobuf:"bytes,5,opt,name=blobs,proto3,oneof"`
}

TimeSeriesDataPoint_Scalar

type TimeSeriesDataPoint_Scalar struct {
	// A scalar value.
	Scalar *Scalar `protobuf:"bytes,3,opt,name=scalar,proto3,oneof"`
}

TimeSeriesDataPoint_Tensor

type TimeSeriesDataPoint_Tensor struct {
	// A tensor value.
	Tensor *TensorboardTensor `protobuf:"bytes,4,opt,name=tensor,proto3,oneof"`
}

TimestampSplit

type TimestampSplit struct {

	// The fraction of the input data that is to be used to train the Model.
	TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
	// The fraction of the input data that is to be used to validate the Model.
	ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
	// The fraction of the input data that is to be used to evaluate the Model.
	TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
	// Required. The key is a name of one of the Dataset's data columns.
	// The values of the key (the values in the column) must be in RFC 3339
	// `date-time` format, where `time-offset` = `"Z"`
	// (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
	// present or has an invalid value, that piece is ignored by the pipeline.
	Key string `protobuf:"bytes,4,opt,name=key,proto3" json:"key,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to training, validation, and test sets based on a provided timestamps. The youngest data pieces are assigned to training set, next to validation set, and the oldest to the test set.

Supported only for tabular Datasets.

func (*TimestampSplit) Descriptor

func (*TimestampSplit) Descriptor() ([]byte, []int)

Deprecated: Use TimestampSplit.ProtoReflect.Descriptor instead.

func (*TimestampSplit) GetKey

func (x *TimestampSplit) GetKey() string

func (*TimestampSplit) GetTestFraction

func (x *TimestampSplit) GetTestFraction() float64

func (*TimestampSplit) GetTrainingFraction

func (x *TimestampSplit) GetTrainingFraction() float64

func (*TimestampSplit) GetValidationFraction

func (x *TimestampSplit) GetValidationFraction() float64

func (*TimestampSplit) ProtoMessage

func (*TimestampSplit) ProtoMessage()

func (*TimestampSplit) ProtoReflect

func (x *TimestampSplit) ProtoReflect() protoreflect.Message

func (*TimestampSplit) Reset

func (x *TimestampSplit) Reset()

func (*TimestampSplit) String

func (x *TimestampSplit) String() string

TrainingConfig

type TrainingConfig struct {
	TimeoutTrainingMilliHours int64 "" /* 141 byte string literal not displayed */

}

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

func (*TrainingConfig) Descriptor

func (*TrainingConfig) Descriptor() ([]byte, []int)

Deprecated: Use TrainingConfig.ProtoReflect.Descriptor instead.

func (*TrainingConfig) GetTimeoutTrainingMilliHours

func (x *TrainingConfig) GetTimeoutTrainingMilliHours() int64

func (*TrainingConfig) ProtoMessage

func (*TrainingConfig) ProtoMessage()

func (*TrainingConfig) ProtoReflect

func (x *TrainingConfig) ProtoReflect() protoreflect.Message

func (*TrainingConfig) Reset

func (x *TrainingConfig) Reset()

func (*TrainingConfig) String

func (x *TrainingConfig) String() string

TrainingPipeline

type TrainingPipeline struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`

	InputDataConfig *InputDataConfig `protobuf:"bytes,3,opt,name=input_data_config,json=inputDataConfig,proto3" json:"input_data_config,omitempty"`

	TrainingTaskDefinition string "" /* 129 byte string literal not displayed */

	TrainingTaskInputs *structpb.Value `protobuf:"bytes,5,opt,name=training_task_inputs,json=trainingTaskInputs,proto3" json:"training_task_inputs,omitempty"`

	TrainingTaskMetadata *structpb.Value `protobuf:"bytes,6,opt,name=training_task_metadata,json=trainingTaskMetadata,proto3" json:"training_task_metadata,omitempty"`

	ModelToUpload *Model `protobuf:"bytes,7,opt,name=model_to_upload,json=modelToUpload,proto3" json:"model_to_upload,omitempty"`

	ModelId string `protobuf:"bytes,22,opt,name=model_id,json=modelId,proto3" json:"model_id,omitempty"`

	ParentModel string `protobuf:"bytes,21,opt,name=parent_model,json=parentModel,proto3" json:"parent_model,omitempty"`

	State PipelineState `protobuf:"varint,9,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineState" json:"state,omitempty"`

	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`

	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`

	StartTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`

	Labels map[string]string "" /* 154 byte string literal not displayed */

	EncryptionSpec *EncryptionSpec `protobuf:"bytes,18,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`

}

The TrainingPipeline orchestrates tasks associated with training a Model. It always executes the training task, and optionally may also export data from Vertex AI's Dataset which becomes the training input, [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the Model.

func (*TrainingPipeline) Descriptor

func (*TrainingPipeline) Descriptor() ([]byte, []int)

Deprecated: Use TrainingPipeline.ProtoReflect.Descriptor instead.

func (*TrainingPipeline) GetCreateTime

func (x *TrainingPipeline) GetCreateTime() *timestamppb.Timestamp

func (*TrainingPipeline) GetDisplayName

func (x *TrainingPipeline) GetDisplayName() string

func (*TrainingPipeline) GetEncryptionSpec

func (x *TrainingPipeline) GetEncryptionSpec() *EncryptionSpec

func (*TrainingPipeline) GetEndTime

func (x *TrainingPipeline) GetEndTime() *timestamppb.Timestamp

func (*TrainingPipeline) GetError

func (x *TrainingPipeline) GetError() *status.Status

func (*TrainingPipeline) GetInputDataConfig

func (x *TrainingPipeline) GetInputDataConfig() *InputDataConfig

func (*TrainingPipeline) GetLabels

func (x *TrainingPipeline) GetLabels() map[string]string

func (*TrainingPipeline) GetModelId

func (x *TrainingPipeline) GetModelId() string

func (*TrainingPipeline) GetModelToUpload

func (x *TrainingPipeline) GetModelToUpload() *Model

func (*TrainingPipeline) GetName

func (x *TrainingPipeline) GetName() string

func (*TrainingPipeline) GetParentModel

func (x *TrainingPipeline) GetParentModel() string

func (*TrainingPipeline) GetStartTime

func (x *TrainingPipeline) GetStartTime() *timestamppb.Timestamp

func (*TrainingPipeline) GetState

func (x *TrainingPipeline) GetState() PipelineState

func (*TrainingPipeline) GetTrainingTaskDefinition

func (x *TrainingPipeline) GetTrainingTaskDefinition() string

func (*TrainingPipeline) GetTrainingTaskInputs

func (x *TrainingPipeline) GetTrainingTaskInputs() *structpb.Value

func (*TrainingPipeline) GetTrainingTaskMetadata

func (x *TrainingPipeline) GetTrainingTaskMetadata() *structpb.Value

func (*TrainingPipeline) GetUpdateTime

func (x *TrainingPipeline) GetUpdateTime() *timestamppb.Timestamp

func (*TrainingPipeline) ProtoMessage

func (*TrainingPipeline) ProtoMessage()

func (*TrainingPipeline) ProtoReflect

func (x *TrainingPipeline) ProtoReflect() protoreflect.Message

func (*TrainingPipeline) Reset

func (x *TrainingPipeline) Reset()

func (*TrainingPipeline) String

func (x *TrainingPipeline) String() string

Trial

type Trial struct {
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`

	Id string `protobuf:"bytes,2,opt,name=id,proto3" json:"id,omitempty"`

	State Trial_State `protobuf:"varint,3,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Trial_State" json:"state,omitempty"`

	Parameters []*Trial_Parameter `protobuf:"bytes,4,rep,name=parameters,proto3" json:"parameters,omitempty"`

	FinalMeasurement *Measurement `protobuf:"bytes,5,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`

	Measurements []*Measurement `protobuf:"bytes,6,rep,name=measurements,proto3" json:"measurements,omitempty"`

	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`

	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`

	ClientId string `protobuf:"bytes,9,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`

	InfeasibleReason string `protobuf:"bytes,10,opt,name=infeasible_reason,json=infeasibleReason,proto3" json:"infeasible_reason,omitempty"`

	CustomJob string `protobuf:"bytes,11,opt,name=custom_job,json=customJob,proto3" json:"custom_job,omitempty"`

	WebAccessUris map[string]string "" /* 191 byte string literal not displayed */

}

A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial.

func (*Trial) Descriptor

func (*Trial) Descriptor() ([]byte, []int)

Deprecated: Use Trial.ProtoReflect.Descriptor instead.

func (*Trial) GetClientId

func (x *Trial) GetClientId() string

func (*Trial) GetCustomJob

func (x *Trial) GetCustomJob() string

func (*Trial) GetEndTime

func (x *Trial) GetEndTime() *timestamppb.Timestamp

func (*Trial) GetFinalMeasurement

func (x *Trial) GetFinalMeasurement() *Measurement

func (*Trial) GetId

func (x *Trial) GetId() string

func (*Trial) GetInfeasibleReason

func (x *Trial) GetInfeasibleReason() string

func (*Trial) GetMeasurements

func (x *Trial) GetMeasurements() []*Measurement

func (*Trial) GetName

func (x *Trial) GetName() string

func (*Trial) GetParameters

func (x *Trial) GetParameters() []*Trial_Parameter

func (*Trial) GetStartTime

func (x *Trial) GetStartTime() *timestamppb.Timestamp

func (*Trial) GetState

func (x *Trial) GetState() Trial_State

func (*Trial) GetWebAccessUris

func (x *Trial) GetWebAccessUris() map[string]string

func (*Trial) ProtoMessage

func (*Trial) ProtoMessage()

func (*Trial) ProtoReflect

func (x *Trial) ProtoReflect() protoreflect.Message

func (*Trial) Reset

func (x *Trial) Reset()

func (*Trial) String

func (x *Trial) String() string

Trial_Parameter

type Trial_Parameter struct {

	// Output only. The ID of the parameter. The parameter should be defined in
	// [StudySpec's
	// Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
	ParameterId string `protobuf:"bytes,1,opt,name=parameter_id,json=parameterId,proto3" json:"parameter_id,omitempty"`
	// Output only. The value of the parameter.
	// `number_value` will be set if a parameter defined in StudySpec is
	// in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
	// `string_value` will be set if a parameter defined in StudySpec is
	// in type 'CATEGORICAL'.
	Value *structpb.Value `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

A message representing a parameter to be tuned.

func (*Trial_Parameter) Descriptor

func (*Trial_Parameter) Descriptor() ([]byte, []int)

Deprecated: Use Trial_Parameter.ProtoReflect.Descriptor instead.

func (*Trial_Parameter) GetParameterId

func (x *Trial_Parameter) GetParameterId() string

func (*Trial_Parameter) GetValue

func (x *Trial_Parameter) GetValue() *structpb.Value

func (*Trial_Parameter) ProtoMessage

func (*Trial_Parameter) ProtoMessage()

func (*Trial_Parameter) ProtoReflect

func (x *Trial_Parameter) ProtoReflect() protoreflect.Message

func (*Trial_Parameter) Reset

func (x *Trial_Parameter) Reset()

func (*Trial_Parameter) String

func (x *Trial_Parameter) String() string

Trial_State

type Trial_State int32

Describes a Trial state.

Trial_STATE_UNSPECIFIED, Trial_REQUESTED, Trial_ACTIVE, Trial_STOPPING, Trial_SUCCEEDED, Trial_INFEASIBLE

const (
	// The Trial state is unspecified.
	Trial_STATE_UNSPECIFIED Trial_State = 0
	// Indicates that a specific Trial has been requested, but it has not yet
	// been suggested by the service.
	Trial_REQUESTED Trial_State = 1
	// Indicates that the Trial has been suggested.
	Trial_ACTIVE Trial_State = 2
	// Indicates that the Trial should stop according to the service.
	Trial_STOPPING Trial_State = 3
	// Indicates that the Trial is completed successfully.
	Trial_SUCCEEDED Trial_State = 4
	// Indicates that the Trial should not be attempted again.
	// The service will set a Trial to INFEASIBLE when it's done but missing
	// the final_measurement.
	Trial_INFEASIBLE Trial_State = 5
)

func (Trial_State) Descriptor

func (Trial_State) Descriptor() protoreflect.EnumDescriptor

func (Trial_State) Enum

func (x Trial_State) Enum() *Trial_State

func (Trial_State) EnumDescriptor

func (Trial_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Trial_State.Descriptor instead.

func (Trial_State) Number

func (x Trial_State) Number() protoreflect.EnumNumber

func (Trial_State) String

func (x Trial_State) String() string

func (Trial_State) Type

func (Trial_State) Type() protoreflect.EnumType

UndeployIndexOperationMetadata

type UndeployIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].

func (*UndeployIndexOperationMetadata) Descriptor

func (*UndeployIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UndeployIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*UndeployIndexOperationMetadata) GetGenericMetadata

func (x *UndeployIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UndeployIndexOperationMetadata) ProtoMessage

func (*UndeployIndexOperationMetadata) ProtoMessage()

func (*UndeployIndexOperationMetadata) ProtoReflect

func (x *UndeployIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*UndeployIndexOperationMetadata) Reset

func (x *UndeployIndexOperationMetadata) Reset()

func (*UndeployIndexOperationMetadata) String

func (x *UndeployIndexOperationMetadata) String() string

UndeployIndexRequest

type UndeployIndexRequest struct {

	// Required. The name of the IndexEndpoint resource from which to undeploy an
	// Index. Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The ID of the DeployedIndex to be undeployed from the
	// IndexEndpoint.
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].

func (*UndeployIndexRequest) Descriptor

func (*UndeployIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use UndeployIndexRequest.ProtoReflect.Descriptor instead.

func (*UndeployIndexRequest) GetDeployedIndexId

func (x *UndeployIndexRequest) GetDeployedIndexId() string

func (*UndeployIndexRequest) GetIndexEndpoint

func (x *UndeployIndexRequest) GetIndexEndpoint() string

func (*UndeployIndexRequest) ProtoMessage

func (*UndeployIndexRequest) ProtoMessage()

func (*UndeployIndexRequest) ProtoReflect

func (x *UndeployIndexRequest) ProtoReflect() protoreflect.Message

func (*UndeployIndexRequest) Reset

func (x *UndeployIndexRequest) Reset()

func (*UndeployIndexRequest) String

func (x *UndeployIndexRequest) String() string

UndeployIndexResponse

type UndeployIndexResponse struct {
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].

func (*UndeployIndexResponse) Descriptor

func (*UndeployIndexResponse) Descriptor() ([]byte, []int)

Deprecated: Use UndeployIndexResponse.ProtoReflect.Descriptor instead.

func (*UndeployIndexResponse) ProtoMessage

func (*UndeployIndexResponse) ProtoMessage()

func (*UndeployIndexResponse) ProtoReflect

func (x *UndeployIndexResponse) ProtoReflect() protoreflect.Message

func (*UndeployIndexResponse) Reset

func (x *UndeployIndexResponse) Reset()

func (*UndeployIndexResponse) String

func (x *UndeployIndexResponse) String() string

UndeployModelOperationMetadata

type UndeployModelOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].

func (*UndeployModelOperationMetadata) Descriptor

func (*UndeployModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UndeployModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*UndeployModelOperationMetadata) GetGenericMetadata

func (x *UndeployModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UndeployModelOperationMetadata) ProtoMessage

func (*UndeployModelOperationMetadata) ProtoMessage()

func (*UndeployModelOperationMetadata) ProtoReflect

func (x *UndeployModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*UndeployModelOperationMetadata) Reset

func (x *UndeployModelOperationMetadata) Reset()

func (*UndeployModelOperationMetadata) String

func (x *UndeployModelOperationMetadata) String() string

UndeployModelRequest

type UndeployModelRequest struct {
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`

	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`

	TrafficSplit map[string]int32 "" /* 186 byte string literal not displayed */

}

Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].

func (*UndeployModelRequest) Descriptor

func (*UndeployModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use UndeployModelRequest.ProtoReflect.Descriptor instead.

func (*UndeployModelRequest) GetDeployedModelId

func (x *UndeployModelRequest) GetDeployedModelId() string

func (*UndeployModelRequest) GetEndpoint

func (x *UndeployModelRequest) GetEndpoint() string

func (*UndeployModelRequest) GetTrafficSplit

func (x *UndeployModelRequest) GetTrafficSplit() map[string]int32

func (*UndeployModelRequest) ProtoMessage

func (*UndeployModelRequest) ProtoMessage()

func (*UndeployModelRequest) ProtoReflect

func (x *UndeployModelRequest) ProtoReflect() protoreflect.Message

func (*UndeployModelRequest) Reset

func (x *UndeployModelRequest) Reset()

func (*UndeployModelRequest) String

func (x *UndeployModelRequest) String() string

UndeployModelResponse

type UndeployModelResponse struct {
	// contains filtered or unexported fields
}

Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].

func (*UndeployModelResponse) Descriptor

func (*UndeployModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use UndeployModelResponse.ProtoReflect.Descriptor instead.

func (*UndeployModelResponse) ProtoMessage

func (*UndeployModelResponse) ProtoMessage()

func (*UndeployModelResponse) ProtoReflect

func (x *UndeployModelResponse) ProtoReflect() protoreflect.Message

func (*UndeployModelResponse) Reset

func (x *UndeployModelResponse) Reset()

func (*UndeployModelResponse) String

func (x *UndeployModelResponse) String() string

UnimplementedDatasetServiceServer

type UnimplementedDatasetServiceServer struct {
}

UnimplementedDatasetServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedDatasetServiceServer) CreateDataset

func (*UnimplementedDatasetServiceServer) CreateDataset(context.Context, *CreateDatasetRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) DeleteDataset

func (*UnimplementedDatasetServiceServer) DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) ExportData

func (*UnimplementedDatasetServiceServer) ExportData(context.Context, *ExportDataRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) GetAnnotationSpec

func (*UnimplementedDatasetServiceServer) GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error)

func (*UnimplementedDatasetServiceServer) GetDataset

func (*UnimplementedDatasetServiceServer) GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error)

func (*UnimplementedDatasetServiceServer) ImportData

func (*UnimplementedDatasetServiceServer) ImportData(context.Context, *ImportDataRequest) (*longrunningpb.Operation, error)

func (*UnimplementedDatasetServiceServer) ListAnnotations

func (*UnimplementedDatasetServiceServer) ListAnnotations(context.Context, *ListAnnotationsRequest) (*ListAnnotationsResponse, error)

func (*UnimplementedDatasetServiceServer) ListDataItems

func (*UnimplementedDatasetServiceServer) ListDataItems(context.Context, *ListDataItemsRequest) (*ListDataItemsResponse, error)

func (*UnimplementedDatasetServiceServer) ListDatasets

func (*UnimplementedDatasetServiceServer) ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error)

func (*UnimplementedDatasetServiceServer) ListSavedQueries

func (*UnimplementedDatasetServiceServer) ListSavedQueries(context.Context, *ListSavedQueriesRequest) (*ListSavedQueriesResponse, error)

func (*UnimplementedDatasetServiceServer) SearchDataItems

func (*UnimplementedDatasetServiceServer) SearchDataItems(context.Context, *SearchDataItemsRequest) (*SearchDataItemsResponse, error)

func (*UnimplementedDatasetServiceServer) UpdateDataset

func (*UnimplementedDatasetServiceServer) UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error)

UnimplementedEndpointServiceServer

type UnimplementedEndpointServiceServer struct {
}

UnimplementedEndpointServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedEndpointServiceServer) CreateEndpoint

func (*UnimplementedEndpointServiceServer) CreateEndpoint(context.Context, *CreateEndpointRequest) (*longrunningpb.Operation, error)

func (*UnimplementedEndpointServiceServer) DeleteEndpoint

func (*UnimplementedEndpointServiceServer) DeleteEndpoint(context.Context, *DeleteEndpointRequest) (*longrunningpb.Operation, error)

func (*UnimplementedEndpointServiceServer) DeployModel

func (*UnimplementedEndpointServiceServer) DeployModel(context.Context, *DeployModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedEndpointServiceServer) GetEndpoint

func (*UnimplementedEndpointServiceServer) GetEndpoint(context.Context, *GetEndpointRequest) (*Endpoint, error)

func (*UnimplementedEndpointServiceServer) ListEndpoints

func (*UnimplementedEndpointServiceServer) ListEndpoints(context.Context, *ListEndpointsRequest) (*ListEndpointsResponse, error)

func (*UnimplementedEndpointServiceServer) MutateDeployedModel

func (*UnimplementedEndpointServiceServer) MutateDeployedModel(context.Context, *MutateDeployedModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedEndpointServiceServer) UndeployModel

func (*UnimplementedEndpointServiceServer) UndeployModel(context.Context, *UndeployModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedEndpointServiceServer) UpdateEndpoint

func (*UnimplementedEndpointServiceServer) UpdateEndpoint(context.Context, *UpdateEndpointRequest) (*Endpoint, error)

UnimplementedFeaturestoreOnlineServingServiceServer

type UnimplementedFeaturestoreOnlineServingServiceServer struct {
}

UnimplementedFeaturestoreOnlineServingServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedFeaturestoreOnlineServingServiceServer) ReadFeatureValues

func (*UnimplementedFeaturestoreOnlineServingServiceServer) ReadFeatureValues(context.Context, *ReadFeatureValuesRequest) (*ReadFeatureValuesResponse, error)

func (*UnimplementedFeaturestoreOnlineServingServiceServer) StreamingReadFeatureValues

func (*UnimplementedFeaturestoreOnlineServingServiceServer) StreamingReadFeatureValues(*StreamingReadFeatureValuesRequest, FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer) error

func (*UnimplementedFeaturestoreOnlineServingServiceServer) WriteFeatureValues

func (*UnimplementedFeaturestoreOnlineServingServiceServer) WriteFeatureValues(context.Context, *WriteFeatureValuesRequest) (*WriteFeatureValuesResponse, error)

UnimplementedFeaturestoreServiceServer

type UnimplementedFeaturestoreServiceServer struct {
}

UnimplementedFeaturestoreServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedFeaturestoreServiceServer) BatchCreateFeatures

func (*UnimplementedFeaturestoreServiceServer) BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) BatchReadFeatureValues

func (*UnimplementedFeaturestoreServiceServer) BatchReadFeatureValues(context.Context, *BatchReadFeatureValuesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) CreateEntityType

func (*UnimplementedFeaturestoreServiceServer) CreateEntityType(context.Context, *CreateEntityTypeRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) CreateFeature

func (*UnimplementedFeaturestoreServiceServer) CreateFeature(context.Context, *CreateFeatureRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) CreateFeaturestore

func (*UnimplementedFeaturestoreServiceServer) CreateFeaturestore(context.Context, *CreateFeaturestoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteEntityType

func (*UnimplementedFeaturestoreServiceServer) DeleteEntityType(context.Context, *DeleteEntityTypeRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteFeature

func (*UnimplementedFeaturestoreServiceServer) DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteFeatureValues

func (*UnimplementedFeaturestoreServiceServer) DeleteFeatureValues(context.Context, *DeleteFeatureValuesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteFeaturestore

func (*UnimplementedFeaturestoreServiceServer) DeleteFeaturestore(context.Context, *DeleteFeaturestoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) ExportFeatureValues

func (*UnimplementedFeaturestoreServiceServer) ExportFeatureValues(context.Context, *ExportFeatureValuesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) GetEntityType

func (*UnimplementedFeaturestoreServiceServer) GetEntityType(context.Context, *GetEntityTypeRequest) (*EntityType, error)

func (*UnimplementedFeaturestoreServiceServer) GetFeature

func (*UnimplementedFeaturestoreServiceServer) GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)

func (*UnimplementedFeaturestoreServiceServer) GetFeaturestore

func (*UnimplementedFeaturestoreServiceServer) GetFeaturestore(context.Context, *GetFeaturestoreRequest) (*Featurestore, error)

func (*UnimplementedFeaturestoreServiceServer) ImportFeatureValues

func (*UnimplementedFeaturestoreServiceServer) ImportFeatureValues(context.Context, *ImportFeatureValuesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) ListEntityTypes

func (*UnimplementedFeaturestoreServiceServer) ListEntityTypes(context.Context, *ListEntityTypesRequest) (*ListEntityTypesResponse, error)

func (*UnimplementedFeaturestoreServiceServer) ListFeatures

func (*UnimplementedFeaturestoreServiceServer) ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)

func (*UnimplementedFeaturestoreServiceServer) ListFeaturestores

func (*UnimplementedFeaturestoreServiceServer) ListFeaturestores(context.Context, *ListFeaturestoresRequest) (*ListFeaturestoresResponse, error)

func (*UnimplementedFeaturestoreServiceServer) SearchFeatures

func (*UnimplementedFeaturestoreServiceServer) SearchFeatures(context.Context, *SearchFeaturesRequest) (*SearchFeaturesResponse, error)

func (*UnimplementedFeaturestoreServiceServer) UpdateEntityType

func (*UnimplementedFeaturestoreServiceServer) UpdateEntityType(context.Context, *UpdateEntityTypeRequest) (*EntityType, error)

func (*UnimplementedFeaturestoreServiceServer) UpdateFeature

func (*UnimplementedFeaturestoreServiceServer) UpdateFeature(context.Context, *UpdateFeatureRequest) (*Feature, error)

func (*UnimplementedFeaturestoreServiceServer) UpdateFeaturestore

func (*UnimplementedFeaturestoreServiceServer) UpdateFeaturestore(context.Context, *UpdateFeaturestoreRequest) (*longrunningpb.Operation, error)

UnimplementedIndexEndpointServiceServer

type UnimplementedIndexEndpointServiceServer struct {
}

UnimplementedIndexEndpointServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedIndexEndpointServiceServer) CreateIndexEndpoint

func (*UnimplementedIndexEndpointServiceServer) CreateIndexEndpoint(context.Context, *CreateIndexEndpointRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) DeleteIndexEndpoint

func (*UnimplementedIndexEndpointServiceServer) DeleteIndexEndpoint(context.Context, *DeleteIndexEndpointRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) DeployIndex

func (*UnimplementedIndexEndpointServiceServer) DeployIndex(context.Context, *DeployIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) GetIndexEndpoint

func (*UnimplementedIndexEndpointServiceServer) GetIndexEndpoint(context.Context, *GetIndexEndpointRequest) (*IndexEndpoint, error)

func (*UnimplementedIndexEndpointServiceServer) ListIndexEndpoints

func (*UnimplementedIndexEndpointServiceServer) ListIndexEndpoints(context.Context, *ListIndexEndpointsRequest) (*ListIndexEndpointsResponse, error)

func (*UnimplementedIndexEndpointServiceServer) MutateDeployedIndex

func (*UnimplementedIndexEndpointServiceServer) MutateDeployedIndex(context.Context, *MutateDeployedIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) UndeployIndex

func (*UnimplementedIndexEndpointServiceServer) UndeployIndex(context.Context, *UndeployIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) UpdateIndexEndpoint

func (*UnimplementedIndexEndpointServiceServer) UpdateIndexEndpoint(context.Context, *UpdateIndexEndpointRequest) (*IndexEndpoint, error)

UnimplementedIndexServiceServer

type UnimplementedIndexServiceServer struct {
}

UnimplementedIndexServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedIndexServiceServer) CreateIndex

func (*UnimplementedIndexServiceServer) CreateIndex(context.Context, *CreateIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexServiceServer) DeleteIndex

func (*UnimplementedIndexServiceServer) DeleteIndex(context.Context, *DeleteIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexServiceServer) GetIndex

func (*UnimplementedIndexServiceServer) GetIndex(context.Context, *GetIndexRequest) (*Index, error)

func (*UnimplementedIndexServiceServer) ListIndexes

func (*UnimplementedIndexServiceServer) ListIndexes(context.Context, *ListIndexesRequest) (*ListIndexesResponse, error)

func (*UnimplementedIndexServiceServer) RemoveDatapoints

func (*UnimplementedIndexServiceServer) RemoveDatapoints(context.Context, *RemoveDatapointsRequest) (*RemoveDatapointsResponse, error)

func (*UnimplementedIndexServiceServer) UpdateIndex

func (*UnimplementedIndexServiceServer) UpdateIndex(context.Context, *UpdateIndexRequest) (*longrunningpb.Operation, error)

func (*UnimplementedIndexServiceServer) UpsertDatapoints

func (*UnimplementedIndexServiceServer) UpsertDatapoints(context.Context, *UpsertDatapointsRequest) (*UpsertDatapointsResponse, error)

UnimplementedJobServiceServer

type UnimplementedJobServiceServer struct {
}

UnimplementedJobServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedJobServiceServer) CancelBatchPredictionJob

func (*UnimplementedJobServiceServer) CancelBatchPredictionJob(context.Context, *CancelBatchPredictionJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelCustomJob

func (*UnimplementedJobServiceServer) CancelCustomJob(context.Context, *CancelCustomJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelDataLabelingJob

func (*UnimplementedJobServiceServer) CancelDataLabelingJob(context.Context, *CancelDataLabelingJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelHyperparameterTuningJob

func (*UnimplementedJobServiceServer) CancelHyperparameterTuningJob(context.Context, *CancelHyperparameterTuningJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelNasJob

func (*UnimplementedJobServiceServer) CancelNasJob(context.Context, *CancelNasJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CreateBatchPredictionJob

func (*UnimplementedJobServiceServer) CreateBatchPredictionJob(context.Context, *CreateBatchPredictionJobRequest) (*BatchPredictionJob, error)

func (*UnimplementedJobServiceServer) CreateCustomJob

func (*UnimplementedJobServiceServer) CreateCustomJob(context.Context, *CreateCustomJobRequest) (*CustomJob, error)

func (*UnimplementedJobServiceServer) CreateDataLabelingJob

func (*UnimplementedJobServiceServer) CreateDataLabelingJob(context.Context, *CreateDataLabelingJobRequest) (*DataLabelingJob, error)

func (*UnimplementedJobServiceServer) CreateHyperparameterTuningJob

func (*UnimplementedJobServiceServer) CreateHyperparameterTuningJob(context.Context, *CreateHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)

func (*UnimplementedJobServiceServer) CreateModelDeploymentMonitoringJob

func (*UnimplementedJobServiceServer) CreateModelDeploymentMonitoringJob(context.Context, *CreateModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)

func (*UnimplementedJobServiceServer) CreateNasJob

func (*UnimplementedJobServiceServer) CreateNasJob(context.Context, *CreateNasJobRequest) (*NasJob, error)

func (*UnimplementedJobServiceServer) DeleteBatchPredictionJob

func (*UnimplementedJobServiceServer) DeleteBatchPredictionJob(context.Context, *DeleteBatchPredictionJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) DeleteCustomJob

func (*UnimplementedJobServiceServer) DeleteCustomJob(context.Context, *DeleteCustomJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) DeleteDataLabelingJob

func (*UnimplementedJobServiceServer) DeleteDataLabelingJob(context.Context, *DeleteDataLabelingJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) DeleteHyperparameterTuningJob

func (*UnimplementedJobServiceServer) DeleteHyperparameterTuningJob(context.Context, *DeleteHyperparameterTuningJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) DeleteModelDeploymentMonitoringJob

func (*UnimplementedJobServiceServer) DeleteModelDeploymentMonitoringJob(context.Context, *DeleteModelDeploymentMonitoringJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) DeleteNasJob

func (*UnimplementedJobServiceServer) DeleteNasJob(context.Context, *DeleteNasJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedJobServiceServer) GetBatchPredictionJob

func (*UnimplementedJobServiceServer) GetBatchPredictionJob(context.Context, *GetBatchPredictionJobRequest) (*BatchPredictionJob, error)

func (*UnimplementedJobServiceServer) GetCustomJob

func (*UnimplementedJobServiceServer) GetCustomJob(context.Context, *GetCustomJobRequest) (*CustomJob, error)

func (*UnimplementedJobServiceServer) GetDataLabelingJob

func (*UnimplementedJobServiceServer) GetDataLabelingJob(context.Context, *GetDataLabelingJobRequest) (*DataLabelingJob, error)

func (*UnimplementedJobServiceServer) GetHyperparameterTuningJob

func (*UnimplementedJobServiceServer) GetHyperparameterTuningJob(context.Context, *GetHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)

func (*UnimplementedJobServiceServer) GetModelDeploymentMonitoringJob

func (*UnimplementedJobServiceServer) GetModelDeploymentMonitoringJob(context.Context, *GetModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)

func (*UnimplementedJobServiceServer) GetNasJob

func (*UnimplementedJobServiceServer) GetNasJob(context.Context, *GetNasJobRequest) (*NasJob, error)

func (*UnimplementedJobServiceServer) GetNasTrialDetail

func (*UnimplementedJobServiceServer) GetNasTrialDetail(context.Context, *GetNasTrialDetailRequest) (*NasTrialDetail, error)

func (*UnimplementedJobServiceServer) ListBatchPredictionJobs

func (*UnimplementedJobServiceServer) ListBatchPredictionJobs(context.Context, *ListBatchPredictionJobsRequest) (*ListBatchPredictionJobsResponse, error)

func (*UnimplementedJobServiceServer) ListCustomJobs

func (*UnimplementedJobServiceServer) ListCustomJobs(context.Context, *ListCustomJobsRequest) (*ListCustomJobsResponse, error)

func (*UnimplementedJobServiceServer) ListDataLabelingJobs

func (*UnimplementedJobServiceServer) ListDataLabelingJobs(context.Context, *ListDataLabelingJobsRequest) (*ListDataLabelingJobsResponse, error)

func (*UnimplementedJobServiceServer) ListHyperparameterTuningJobs

func (*UnimplementedJobServiceServer) ListHyperparameterTuningJobs(context.Context, *ListHyperparameterTuningJobsRequest) (*ListHyperparameterTuningJobsResponse, error)

func (*UnimplementedJobServiceServer) ListModelDeploymentMonitoringJobs

func (*UnimplementedJobServiceServer) ListModelDeploymentMonitoringJobs(context.Context, *ListModelDeploymentMonitoringJobsRequest) (*ListModelDeploymentMonitoringJobsResponse, error)

func (*UnimplementedJobServiceServer) ListNasJobs

func (*UnimplementedJobServiceServer) ListNasJobs(context.Context, *ListNasJobsRequest) (*ListNasJobsResponse, error)

func (*UnimplementedJobServiceServer) ListNasTrialDetails

func (*UnimplementedJobServiceServer) ListNasTrialDetails(context.Context, *ListNasTrialDetailsRequest) (*ListNasTrialDetailsResponse, error)

func (*UnimplementedJobServiceServer) PauseModelDeploymentMonitoringJob

func (*UnimplementedJobServiceServer) PauseModelDeploymentMonitoringJob(context.Context, *PauseModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) ResumeModelDeploymentMonitoringJob

func (*UnimplementedJobServiceServer) ResumeModelDeploymentMonitoringJob(context.Context, *ResumeModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) SearchModelDeploymentMonitoringStatsAnomalies

func (*UnimplementedJobServiceServer) SearchModelDeploymentMonitoringStatsAnomalies(context.Context, *SearchModelDeploymentMonitoringStatsAnomaliesRequest) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)

func (*UnimplementedJobServiceServer) UpdateModelDeploymentMonitoringJob

func (*UnimplementedJobServiceServer) UpdateModelDeploymentMonitoringJob(context.Context, *UpdateModelDeploymentMonitoringJobRequest) (*longrunningpb.Operation, error)

UnimplementedMetadataServiceServer

type UnimplementedMetadataServiceServer struct {
}

UnimplementedMetadataServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedMetadataServiceServer) AddContextArtifactsAndExecutions

func (*UnimplementedMetadataServiceServer) AddContextArtifactsAndExecutions(context.Context, *AddContextArtifactsAndExecutionsRequest) (*AddContextArtifactsAndExecutionsResponse, error)

func (*UnimplementedMetadataServiceServer) AddContextChildren

func (*UnimplementedMetadataServiceServer) AddContextChildren(context.Context, *AddContextChildrenRequest) (*AddContextChildrenResponse, error)

func (*UnimplementedMetadataServiceServer) AddExecutionEvents

func (*UnimplementedMetadataServiceServer) AddExecutionEvents(context.Context, *AddExecutionEventsRequest) (*AddExecutionEventsResponse, error)

func (*UnimplementedMetadataServiceServer) CreateArtifact

func (*UnimplementedMetadataServiceServer) CreateArtifact(context.Context, *CreateArtifactRequest) (*Artifact, error)

func (*UnimplementedMetadataServiceServer) CreateContext

func (*UnimplementedMetadataServiceServer) CreateContext(context.Context, *CreateContextRequest) (*Context, error)

func (*UnimplementedMetadataServiceServer) CreateExecution

func (*UnimplementedMetadataServiceServer) CreateExecution(context.Context, *CreateExecutionRequest) (*Execution, error)

func (*UnimplementedMetadataServiceServer) CreateMetadataSchema

func (*UnimplementedMetadataServiceServer) CreateMetadataSchema(context.Context, *CreateMetadataSchemaRequest) (*MetadataSchema, error)

func (*UnimplementedMetadataServiceServer) CreateMetadataStore

func (*UnimplementedMetadataServiceServer) CreateMetadataStore(context.Context, *CreateMetadataStoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) DeleteArtifact

func (*UnimplementedMetadataServiceServer) DeleteArtifact(context.Context, *DeleteArtifactRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) DeleteContext

func (*UnimplementedMetadataServiceServer) DeleteContext(context.Context, *DeleteContextRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) DeleteExecution

func (*UnimplementedMetadataServiceServer) DeleteExecution(context.Context, *DeleteExecutionRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) DeleteMetadataStore

func (*UnimplementedMetadataServiceServer) DeleteMetadataStore(context.Context, *DeleteMetadataStoreRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) GetArtifact

func (*UnimplementedMetadataServiceServer) GetArtifact(context.Context, *GetArtifactRequest) (*Artifact, error)

func (*UnimplementedMetadataServiceServer) GetContext

func (*UnimplementedMetadataServiceServer) GetContext(context.Context, *GetContextRequest) (*Context, error)

func (*UnimplementedMetadataServiceServer) GetExecution

func (*UnimplementedMetadataServiceServer) GetExecution(context.Context, *GetExecutionRequest) (*Execution, error)

func (*UnimplementedMetadataServiceServer) GetMetadataSchema

func (*UnimplementedMetadataServiceServer) GetMetadataSchema(context.Context, *GetMetadataSchemaRequest) (*MetadataSchema, error)

func (*UnimplementedMetadataServiceServer) GetMetadataStore

func (*UnimplementedMetadataServiceServer) GetMetadataStore(context.Context, *GetMetadataStoreRequest) (*MetadataStore, error)

func (*UnimplementedMetadataServiceServer) ListArtifacts

func (*UnimplementedMetadataServiceServer) ListArtifacts(context.Context, *ListArtifactsRequest) (*ListArtifactsResponse, error)

func (*UnimplementedMetadataServiceServer) ListContexts

func (*UnimplementedMetadataServiceServer) ListContexts(context.Context, *ListContextsRequest) (*ListContextsResponse, error)

func (*UnimplementedMetadataServiceServer) ListExecutions

func (*UnimplementedMetadataServiceServer) ListExecutions(context.Context, *ListExecutionsRequest) (*ListExecutionsResponse, error)

func (*UnimplementedMetadataServiceServer) ListMetadataSchemas

func (*UnimplementedMetadataServiceServer) ListMetadataSchemas(context.Context, *ListMetadataSchemasRequest) (*ListMetadataSchemasResponse, error)

func (*UnimplementedMetadataServiceServer) ListMetadataStores

func (*UnimplementedMetadataServiceServer) ListMetadataStores(context.Context, *ListMetadataStoresRequest) (*ListMetadataStoresResponse, error)

func (*UnimplementedMetadataServiceServer) PurgeArtifacts

func (*UnimplementedMetadataServiceServer) PurgeArtifacts(context.Context, *PurgeArtifactsRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) PurgeContexts

func (*UnimplementedMetadataServiceServer) PurgeContexts(context.Context, *PurgeContextsRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) PurgeExecutions

func (*UnimplementedMetadataServiceServer) PurgeExecutions(context.Context, *PurgeExecutionsRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMetadataServiceServer) QueryArtifactLineageSubgraph

func (*UnimplementedMetadataServiceServer) QueryArtifactLineageSubgraph(context.Context, *QueryArtifactLineageSubgraphRequest) (*LineageSubgraph, error)

func (*UnimplementedMetadataServiceServer) QueryContextLineageSubgraph

func (*UnimplementedMetadataServiceServer) QueryContextLineageSubgraph(context.Context, *QueryContextLineageSubgraphRequest) (*LineageSubgraph, error)

func (*UnimplementedMetadataServiceServer) QueryExecutionInputsAndOutputs

func (*UnimplementedMetadataServiceServer) QueryExecutionInputsAndOutputs(context.Context, *QueryExecutionInputsAndOutputsRequest) (*LineageSubgraph, error)

func (*UnimplementedMetadataServiceServer) RemoveContextChildren

func (*UnimplementedMetadataServiceServer) RemoveContextChildren(context.Context, *RemoveContextChildrenRequest) (*RemoveContextChildrenResponse, error)

func (*UnimplementedMetadataServiceServer) UpdateArtifact

func (*UnimplementedMetadataServiceServer) UpdateArtifact(context.Context, *UpdateArtifactRequest) (*Artifact, error)

func (*UnimplementedMetadataServiceServer) UpdateContext

func (*UnimplementedMetadataServiceServer) UpdateContext(context.Context, *UpdateContextRequest) (*Context, error)

func (*UnimplementedMetadataServiceServer) UpdateExecution

func (*UnimplementedMetadataServiceServer) UpdateExecution(context.Context, *UpdateExecutionRequest) (*Execution, error)

UnimplementedMigrationServiceServer

type UnimplementedMigrationServiceServer struct {
}

UnimplementedMigrationServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedMigrationServiceServer) BatchMigrateResources

func (*UnimplementedMigrationServiceServer) BatchMigrateResources(context.Context, *BatchMigrateResourcesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedMigrationServiceServer) SearchMigratableResources

func (*UnimplementedMigrationServiceServer) SearchMigratableResources(context.Context, *SearchMigratableResourcesRequest) (*SearchMigratableResourcesResponse, error)

UnimplementedModelServiceServer

type UnimplementedModelServiceServer struct {
}

UnimplementedModelServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedModelServiceServer) BatchImportEvaluatedAnnotations

func (*UnimplementedModelServiceServer) BatchImportEvaluatedAnnotations(context.Context, *BatchImportEvaluatedAnnotationsRequest) (*BatchImportEvaluatedAnnotationsResponse, error)

func (*UnimplementedModelServiceServer) BatchImportModelEvaluationSlices

func (*UnimplementedModelServiceServer) BatchImportModelEvaluationSlices(context.Context, *BatchImportModelEvaluationSlicesRequest) (*BatchImportModelEvaluationSlicesResponse, error)

func (*UnimplementedModelServiceServer) CopyModel

func (*UnimplementedModelServiceServer) CopyModel(context.Context, *CopyModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedModelServiceServer) DeleteModel

func (*UnimplementedModelServiceServer) DeleteModel(context.Context, *DeleteModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedModelServiceServer) DeleteModelVersion

func (*UnimplementedModelServiceServer) DeleteModelVersion(context.Context, *DeleteModelVersionRequest) (*longrunningpb.Operation, error)

func (*UnimplementedModelServiceServer) ExportModel

func (*UnimplementedModelServiceServer) ExportModel(context.Context, *ExportModelRequest) (*longrunningpb.Operation, error)

func (*UnimplementedModelServiceServer) GetModel

func (*UnimplementedModelServiceServer) GetModel(context.Context, *GetModelRequest) (*Model, error)

func (*UnimplementedModelServiceServer) GetModelEvaluation

func (*UnimplementedModelServiceServer) GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error)

func (*UnimplementedModelServiceServer) GetModelEvaluationSlice

func (*UnimplementedModelServiceServer) GetModelEvaluationSlice(context.Context, *GetModelEvaluationSliceRequest) (*ModelEvaluationSlice, error)

func (*UnimplementedModelServiceServer) ImportModelEvaluation

func (*UnimplementedModelServiceServer) ImportModelEvaluation(context.Context, *ImportModelEvaluationRequest) (*ModelEvaluation, error)

func (*UnimplementedModelServiceServer) ListModelEvaluationSlices

func (*UnimplementedModelServiceServer) ListModelEvaluationSlices(context.Context, *ListModelEvaluationSlicesRequest) (*ListModelEvaluationSlicesResponse, error)

func (*UnimplementedModelServiceServer) ListModelEvaluations

func (*UnimplementedModelServiceServer) ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error)

func (*UnimplementedModelServiceServer) ListModelVersions

func (*UnimplementedModelServiceServer) ListModelVersions(context.Context, *ListModelVersionsRequest) (*ListModelVersionsResponse, error)

func (*UnimplementedModelServiceServer) ListModels

func (*UnimplementedModelServiceServer) ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)

func (*UnimplementedModelServiceServer) MergeVersionAliases

func (*UnimplementedModelServiceServer) MergeVersionAliases(context.Context, *MergeVersionAliasesRequest) (*Model, error)

func (*UnimplementedModelServiceServer) UpdateModel

func (*UnimplementedModelServiceServer) UpdateModel(context.Context, *UpdateModelRequest) (*Model, error)

func (*UnimplementedModelServiceServer) UploadModel

func (*UnimplementedModelServiceServer) UploadModel(context.Context, *UploadModelRequest) (*longrunningpb.Operation, error)

UnimplementedPipelineServiceServer

type UnimplementedPipelineServiceServer struct {
}

UnimplementedPipelineServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedPipelineServiceServer) CancelPipelineJob

func (*UnimplementedPipelineServiceServer) CancelPipelineJob(context.Context, *CancelPipelineJobRequest) (*emptypb.Empty, error)

func (*UnimplementedPipelineServiceServer) CancelTrainingPipeline

func (*UnimplementedPipelineServiceServer) CancelTrainingPipeline(context.Context, *CancelTrainingPipelineRequest) (*emptypb.Empty, error)

func (*UnimplementedPipelineServiceServer) CreatePipelineJob

func (*UnimplementedPipelineServiceServer) CreatePipelineJob(context.Context, *CreatePipelineJobRequest) (*PipelineJob, error)

func (*UnimplementedPipelineServiceServer) CreateTrainingPipeline

func (*UnimplementedPipelineServiceServer) CreateTrainingPipeline(context.Context, *CreateTrainingPipelineRequest) (*TrainingPipeline, error)

func (*UnimplementedPipelineServiceServer) DeletePipelineJob

func (*UnimplementedPipelineServiceServer) DeletePipelineJob(context.Context, *DeletePipelineJobRequest) (*longrunningpb.Operation, error)

func (*UnimplementedPipelineServiceServer) DeleteTrainingPipeline

func (*UnimplementedPipelineServiceServer) DeleteTrainingPipeline(context.Context, *DeleteTrainingPipelineRequest) (*longrunningpb.Operation, error)

func (*UnimplementedPipelineServiceServer) GetPipelineJob

func (*UnimplementedPipelineServiceServer) GetPipelineJob(context.Context, *GetPipelineJobRequest) (*PipelineJob, error)

func (*UnimplementedPipelineServiceServer) GetTrainingPipeline

func (*UnimplementedPipelineServiceServer) GetTrainingPipeline(context.Context, *GetTrainingPipelineRequest) (*TrainingPipeline, error)

func (*UnimplementedPipelineServiceServer) ListPipelineJobs

func (*UnimplementedPipelineServiceServer) ListPipelineJobs(context.Context, *ListPipelineJobsRequest) (*ListPipelineJobsResponse, error)

func (*UnimplementedPipelineServiceServer) ListTrainingPipelines

func (*UnimplementedPipelineServiceServer) ListTrainingPipelines(context.Context, *ListTrainingPipelinesRequest) (*ListTrainingPipelinesResponse, error)

UnimplementedPredictionServiceServer

type UnimplementedPredictionServiceServer struct {
}

UnimplementedPredictionServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedPredictionServiceServer) Explain

func (*UnimplementedPredictionServiceServer) Explain(context.Context, *ExplainRequest) (*ExplainResponse, error)

func (*UnimplementedPredictionServiceServer) Predict

func (*UnimplementedPredictionServiceServer) Predict(context.Context, *PredictRequest) (*PredictResponse, error)

func (*UnimplementedPredictionServiceServer) RawPredict

func (*UnimplementedPredictionServiceServer) RawPredict(context.Context, *RawPredictRequest) (*httpbody.HttpBody, error)

UnimplementedSpecialistPoolServiceServer

type UnimplementedSpecialistPoolServiceServer struct {
}

UnimplementedSpecialistPoolServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedSpecialistPoolServiceServer) CreateSpecialistPool

func (*UnimplementedSpecialistPoolServiceServer) CreateSpecialistPool(context.Context, *CreateSpecialistPoolRequest) (*longrunningpb.Operation, error)

func (*UnimplementedSpecialistPoolServiceServer) DeleteSpecialistPool

func (*UnimplementedSpecialistPoolServiceServer) DeleteSpecialistPool(context.Context, *DeleteSpecialistPoolRequest) (*longrunningpb.Operation, error)

func (*UnimplementedSpecialistPoolServiceServer) GetSpecialistPool

func (*UnimplementedSpecialistPoolServiceServer) GetSpecialistPool(context.Context, *GetSpecialistPoolRequest) (*SpecialistPool, error)

func (*UnimplementedSpecialistPoolServiceServer) ListSpecialistPools

func (*UnimplementedSpecialistPoolServiceServer) ListSpecialistPools(context.Context, *ListSpecialistPoolsRequest) (*ListSpecialistPoolsResponse, error)

func (*UnimplementedSpecialistPoolServiceServer) UpdateSpecialistPool

func (*UnimplementedSpecialistPoolServiceServer) UpdateSpecialistPool(context.Context, *UpdateSpecialistPoolRequest) (*longrunningpb.Operation, error)

UnimplementedTensorboardServiceServer

type UnimplementedTensorboardServiceServer struct {
}

UnimplementedTensorboardServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardRuns

func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardRuns(context.Context, *BatchCreateTensorboardRunsRequest) (*BatchCreateTensorboardRunsResponse, error)

func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardTimeSeries

func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardTimeSeries(context.Context, *BatchCreateTensorboardTimeSeriesRequest) (*BatchCreateTensorboardTimeSeriesResponse, error)

func (*UnimplementedTensorboardServiceServer) BatchReadTensorboardTimeSeriesData

func (*UnimplementedTensorboardServiceServer) BatchReadTensorboardTimeSeriesData(context.Context, *BatchReadTensorboardTimeSeriesDataRequest) (*BatchReadTensorboardTimeSeriesDataResponse, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboard

func (*UnimplementedTensorboardServiceServer) CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboardExperiment

func (*UnimplementedTensorboardServiceServer) CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboardRun

func (*UnimplementedTensorboardServiceServer) CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboardTimeSeries

func (*UnimplementedTensorboardServiceServer) CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboard

func (*UnimplementedTensorboardServiceServer) DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardExperiment

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardRun

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardTimeSeries

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardTimeSeries(context.Context, *DeleteTensorboardTimeSeriesRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) ExportTensorboardTimeSeriesData

func (*UnimplementedTensorboardServiceServer) ExportTensorboardTimeSeriesData(context.Context, *ExportTensorboardTimeSeriesDataRequest) (*ExportTensorboardTimeSeriesDataResponse, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboard

func (*UnimplementedTensorboardServiceServer) GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboardExperiment

func (*UnimplementedTensorboardServiceServer) GetTensorboardExperiment(context.Context, *GetTensorboardExperimentRequest) (*TensorboardExperiment, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboardRun

func (*UnimplementedTensorboardServiceServer) GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboardTimeSeries

func (*UnimplementedTensorboardServiceServer) GetTensorboardTimeSeries(context.Context, *GetTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboardExperiments

func (*UnimplementedTensorboardServiceServer) ListTensorboardExperiments(context.Context, *ListTensorboardExperimentsRequest) (*ListTensorboardExperimentsResponse, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboardRuns

func (*UnimplementedTensorboardServiceServer) ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboardTimeSeries

func (*UnimplementedTensorboardServiceServer) ListTensorboardTimeSeries(context.Context, *ListTensorboardTimeSeriesRequest) (*ListTensorboardTimeSeriesResponse, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboards

func (*UnimplementedTensorboardServiceServer) ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error)

func (*UnimplementedTensorboardServiceServer) ReadTensorboardBlobData

func (*UnimplementedTensorboardServiceServer) ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error

func (*UnimplementedTensorboardServiceServer) ReadTensorboardTimeSeriesData

func (*UnimplementedTensorboardServiceServer) ReadTensorboardTimeSeriesData(context.Context, *ReadTensorboardTimeSeriesDataRequest) (*ReadTensorboardTimeSeriesDataResponse, error)

func (*UnimplementedTensorboardServiceServer) ReadTensorboardUsage

func (*UnimplementedTensorboardServiceServer) ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboard

func (*UnimplementedTensorboardServiceServer) UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunningpb.Operation, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardExperiment

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardExperiment(context.Context, *UpdateTensorboardExperimentRequest) (*TensorboardExperiment, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardRun

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardRun(context.Context, *UpdateTensorboardRunRequest) (*TensorboardRun, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardTimeSeries

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardTimeSeries(context.Context, *UpdateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)

func (*UnimplementedTensorboardServiceServer) WriteTensorboardExperimentData

func (*UnimplementedTensorboardServiceServer) WriteTensorboardExperimentData(context.Context, *WriteTensorboardExperimentDataRequest) (*WriteTensorboardExperimentDataResponse, error)

func (*UnimplementedTensorboardServiceServer) WriteTensorboardRunData

func (*UnimplementedTensorboardServiceServer) WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error)

UnimplementedVizierServiceServer

type UnimplementedVizierServiceServer struct {
}

UnimplementedVizierServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedVizierServiceServer) AddTrialMeasurement

func (*UnimplementedVizierServiceServer) AddTrialMeasurement(context.Context, *AddTrialMeasurementRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) CheckTrialEarlyStoppingState

func (*UnimplementedVizierServiceServer) CheckTrialEarlyStoppingState(context.Context, *CheckTrialEarlyStoppingStateRequest) (*longrunningpb.Operation, error)

func (*UnimplementedVizierServiceServer) CompleteTrial

func (*UnimplementedVizierServiceServer) CompleteTrial(context.Context, *CompleteTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) CreateStudy

func (*UnimplementedVizierServiceServer) CreateStudy(context.Context, *CreateStudyRequest) (*Study, error)

func (*UnimplementedVizierServiceServer) CreateTrial

func (*UnimplementedVizierServiceServer) CreateTrial(context.Context, *CreateTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) DeleteStudy

func (*UnimplementedVizierServiceServer) DeleteStudy(context.Context, *DeleteStudyRequest) (*emptypb.Empty, error)

func (*UnimplementedVizierServiceServer) DeleteTrial

func (*UnimplementedVizierServiceServer) DeleteTrial(context.Context, *DeleteTrialRequest) (*emptypb.Empty, error)

func (*UnimplementedVizierServiceServer) GetStudy

func (*UnimplementedVizierServiceServer) GetStudy(context.Context, *GetStudyRequest) (*Study, error)

func (*UnimplementedVizierServiceServer) GetTrial

func (*UnimplementedVizierServiceServer) GetTrial(context.Context, *GetTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) ListOptimalTrials

func (*UnimplementedVizierServiceServer) ListOptimalTrials(context.Context, *ListOptimalTrialsRequest) (*ListOptimalTrialsResponse, error)

func (*UnimplementedVizierServiceServer) ListStudies

func (*UnimplementedVizierServiceServer) ListStudies(context.Context, *ListStudiesRequest) (*ListStudiesResponse, error)

func (*UnimplementedVizierServiceServer) ListTrials

func (*UnimplementedVizierServiceServer) ListTrials(context.Context, *ListTrialsRequest) (*ListTrialsResponse, error)

func (*UnimplementedVizierServiceServer) LookupStudy

func (*UnimplementedVizierServiceServer) LookupStudy(context.Context, *LookupStudyRequest) (*Study, error)

func (*UnimplementedVizierServiceServer) StopTrial

func (*UnimplementedVizierServiceServer) StopTrial(context.Context, *StopTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) SuggestTrials

func (*UnimplementedVizierServiceServer) SuggestTrials(context.Context, *SuggestTrialsRequest) (*longrunningpb.Operation, error)

UnmanagedContainerModel

type UnmanagedContainerModel struct {

	// The path to the directory containing the Model artifact and any of its
	// supporting files.
	ArtifactUri string `protobuf:"bytes,1,opt,name=artifact_uri,json=artifactUri,proto3" json:"artifact_uri,omitempty"`
	// Contains the schemata used in Model's predictions and explanations
	PredictSchemata *PredictSchemata `protobuf:"bytes,2,opt,name=predict_schemata,json=predictSchemata,proto3" json:"predict_schemata,omitempty"`
	// Input only. The specification of the container that is to be used when
	// deploying this Model.
	ContainerSpec *ModelContainerSpec `protobuf:"bytes,3,opt,name=container_spec,json=containerSpec,proto3" json:"container_spec,omitempty"`
	// contains filtered or unexported fields
}

Contains model information necessary to perform batch prediction without requiring a full model import.

func (*UnmanagedContainerModel) Descriptor

func (*UnmanagedContainerModel) Descriptor() ([]byte, []int)

Deprecated: Use UnmanagedContainerModel.ProtoReflect.Descriptor instead.

func (*UnmanagedContainerModel) GetArtifactUri

func (x *UnmanagedContainerModel) GetArtifactUri() string

func (*UnmanagedContainerModel) GetContainerSpec

func (x *UnmanagedContainerModel) GetContainerSpec() *ModelContainerSpec

func (*UnmanagedContainerModel) GetPredictSchemata

func (x *UnmanagedContainerModel) GetPredictSchemata() *PredictSchemata

func (*UnmanagedContainerModel) ProtoMessage

func (*UnmanagedContainerModel) ProtoMessage()

func (*UnmanagedContainerModel) ProtoReflect

func (x *UnmanagedContainerModel) ProtoReflect() protoreflect.Message

func (*UnmanagedContainerModel) Reset

func (x *UnmanagedContainerModel) Reset()

func (*UnmanagedContainerModel) String

func (x *UnmanagedContainerModel) String() string

UpdateArtifactRequest

type UpdateArtifactRequest struct {

	// Required. The Artifact containing updates.
	// The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
	// field is used to identify the Artifact to be updated. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
	Artifact *Artifact `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// Optional. A FieldMask indicating which fields should be updated.
	// Functionality of this field is not yet supported.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is
	// not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
	// created.
	AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].

func (*UpdateArtifactRequest) Descriptor

func (*UpdateArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateArtifactRequest.ProtoReflect.Descriptor instead.

func (*UpdateArtifactRequest) GetAllowMissing

func (x *UpdateArtifactRequest) GetAllowMissing() bool

func (*UpdateArtifactRequest) GetArtifact

func (x *UpdateArtifactRequest) GetArtifact() *Artifact

func (*UpdateArtifactRequest) GetUpdateMask

func (x *UpdateArtifactRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateArtifactRequest) ProtoMessage

func (*UpdateArtifactRequest) ProtoMessage()

func (*UpdateArtifactRequest) ProtoReflect

func (x *UpdateArtifactRequest) ProtoReflect() protoreflect.Message

func (*UpdateArtifactRequest) Reset

func (x *UpdateArtifactRequest) Reset()

func (*UpdateArtifactRequest) String

func (x *UpdateArtifactRequest) String() string

UpdateContextRequest

type UpdateContextRequest struct {

	// Required. The Context containing updates.
	// The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
	// is used to identify the Context to be updated. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
	Context *Context `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// Optional. A FieldMask indicating which fields should be updated.
	// Functionality of this field is not yet supported.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is
	// not found, a new [Context][google.cloud.aiplatform.v1.Context] is created.
	AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].

func (*UpdateContextRequest) Descriptor

func (*UpdateContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateContextRequest.ProtoReflect.Descriptor instead.

func (*UpdateContextRequest) GetAllowMissing

func (x *UpdateContextRequest) GetAllowMissing() bool

func (*UpdateContextRequest) GetContext

func (x *UpdateContextRequest) GetContext() *Context

func (*UpdateContextRequest) GetUpdateMask

func (x *UpdateContextRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateContextRequest) ProtoMessage

func (*UpdateContextRequest) ProtoMessage()

func (*UpdateContextRequest) ProtoReflect

func (x *UpdateContextRequest) ProtoReflect() protoreflect.Message

func (*UpdateContextRequest) Reset

func (x *UpdateContextRequest) Reset()

func (*UpdateContextRequest) String

func (x *UpdateContextRequest) String() string

UpdateDatasetRequest

type UpdateDatasetRequest struct {

	// Required. The Dataset which replaces the resource on the server.
	Dataset *Dataset `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Required. The update mask applies to the resource.
	// For the `FieldMask` definition, see
	// [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
	//
	//   * `display_name`
	//   * `description`
	//   * `labels`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].

func (*UpdateDatasetRequest) Descriptor

func (*UpdateDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateDatasetRequest.ProtoReflect.Descriptor instead.

func (*UpdateDatasetRequest) GetDataset

func (x *UpdateDatasetRequest) GetDataset() *Dataset

func (*UpdateDatasetRequest) GetUpdateMask

func (x *UpdateDatasetRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateDatasetRequest) ProtoMessage

func (*UpdateDatasetRequest) ProtoMessage()

func (*UpdateDatasetRequest) ProtoReflect

func (x *UpdateDatasetRequest) ProtoReflect() protoreflect.Message

func (*UpdateDatasetRequest) Reset

func (x *UpdateDatasetRequest) Reset()

func (*UpdateDatasetRequest) String

func (x *UpdateDatasetRequest) String() string

UpdateEndpointRequest

type UpdateEndpointRequest struct {

	// Required. The Endpoint which replaces the resource on the server.
	Endpoint *Endpoint `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The update mask applies to the resource. See
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].

func (*UpdateEndpointRequest) Descriptor

func (*UpdateEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateEndpointRequest.ProtoReflect.Descriptor instead.

func (*UpdateEndpointRequest) GetEndpoint

func (x *UpdateEndpointRequest) GetEndpoint() *Endpoint

func (*UpdateEndpointRequest) GetUpdateMask

func (x *UpdateEndpointRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateEndpointRequest) ProtoMessage

func (*UpdateEndpointRequest) ProtoMessage()

func (*UpdateEndpointRequest) ProtoReflect

func (x *UpdateEndpointRequest) ProtoReflect() protoreflect.Message

func (*UpdateEndpointRequest) Reset

func (x *UpdateEndpointRequest) Reset()

func (*UpdateEndpointRequest) String

func (x *UpdateEndpointRequest) String() string

UpdateEntityTypeRequest

type UpdateEntityTypeRequest struct {

	// Required. The EntityType's `name` field is used to identify the EntityType
	// to be updated. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	EntityType *EntityType `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// EntityType resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   * `description`
	//   * `labels`
	//   * `monitoring_config.snapshot_analysis.disabled`
	//   * `monitoring_config.snapshot_analysis.monitoring_interval_days`
	//   * `monitoring_config.snapshot_analysis.staleness_days`
	//   * `monitoring_config.import_features_analysis.state`
	//   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
	//   * `monitoring_config.numerical_threshold_config.value`
	//   * `monitoring_config.categorical_threshold_config.value`
	//   * `offline_storage_ttl_days`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].

func (*UpdateEntityTypeRequest) Descriptor

func (*UpdateEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*UpdateEntityTypeRequest) GetEntityType

func (x *UpdateEntityTypeRequest) GetEntityType() *EntityType

func (*UpdateEntityTypeRequest) GetUpdateMask

func (x *UpdateEntityTypeRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateEntityTypeRequest) ProtoMessage

func (*UpdateEntityTypeRequest) ProtoMessage()

func (*UpdateEntityTypeRequest) ProtoReflect

func (x *UpdateEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*UpdateEntityTypeRequest) Reset

func (x *UpdateEntityTypeRequest) Reset()

func (*UpdateEntityTypeRequest) String

func (x *UpdateEntityTypeRequest) String() string

UpdateExecutionRequest

type UpdateExecutionRequest struct {

	// Required. The Execution containing updates.
	// The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
	// field is used to identify the Execution to be updated. Format:
	// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
	Execution *Execution `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
	// Optional. A FieldMask indicating which fields should be updated.
	// Functionality of this field is not yet supported.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution]
	// is not found, a new [Execution][google.cloud.aiplatform.v1.Execution] is
	// created.
	AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].

func (*UpdateExecutionRequest) Descriptor

func (*UpdateExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateExecutionRequest.ProtoReflect.Descriptor instead.

func (*UpdateExecutionRequest) GetAllowMissing

func (x *UpdateExecutionRequest) GetAllowMissing() bool

func (*UpdateExecutionRequest) GetExecution

func (x *UpdateExecutionRequest) GetExecution() *Execution

func (*UpdateExecutionRequest) GetUpdateMask

func (x *UpdateExecutionRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateExecutionRequest) ProtoMessage

func (*UpdateExecutionRequest) ProtoMessage()

func (*UpdateExecutionRequest) ProtoReflect

func (x *UpdateExecutionRequest) ProtoReflect() protoreflect.Message

func (*UpdateExecutionRequest) Reset

func (x *UpdateExecutionRequest) Reset()

func (*UpdateExecutionRequest) String

func (x *UpdateExecutionRequest) String() string

UpdateFeatureRequest

type UpdateFeatureRequest struct {

	// Required. The Feature's `name` field is used to identify the Feature to be
	// updated.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
	Feature *Feature `protobuf:"bytes,1,opt,name=feature,proto3" json:"feature,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// Features resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   * `description`
	//   * `labels`
	//   * `disable_monitoring`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].

func (*UpdateFeatureRequest) Descriptor

func (*UpdateFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeatureRequest.ProtoReflect.Descriptor instead.

func (*UpdateFeatureRequest) GetFeature

func (x *UpdateFeatureRequest) GetFeature() *Feature

func (*UpdateFeatureRequest) GetUpdateMask

func (x *UpdateFeatureRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateFeatureRequest) ProtoMessage

func (*UpdateFeatureRequest) ProtoMessage()

func (*UpdateFeatureRequest) ProtoReflect

func (x *UpdateFeatureRequest) ProtoReflect() protoreflect.Message

func (*UpdateFeatureRequest) Reset

func (x *UpdateFeatureRequest) Reset()

func (*UpdateFeatureRequest) String

func (x *UpdateFeatureRequest) String() string

UpdateFeaturestoreOperationMetadata

type UpdateFeaturestoreOperationMetadata struct {

	// Operation metadata for Featurestore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update Featurestore.

func (*UpdateFeaturestoreOperationMetadata) Descriptor

func (*UpdateFeaturestoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeaturestoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateFeaturestoreOperationMetadata) GetGenericMetadata

func (x *UpdateFeaturestoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateFeaturestoreOperationMetadata) ProtoMessage

func (*UpdateFeaturestoreOperationMetadata) ProtoMessage()

func (*UpdateFeaturestoreOperationMetadata) ProtoReflect

func (x *UpdateFeaturestoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateFeaturestoreOperationMetadata) Reset

func (x *UpdateFeaturestoreOperationMetadata) Reset()

func (*UpdateFeaturestoreOperationMetadata) String

func (x *UpdateFeaturestoreOperationMetadata) String() string

UpdateFeaturestoreRequest

type UpdateFeaturestoreRequest struct {

	// Required. The Featurestore's `name` field is used to identify the
	// Featurestore to be updated. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Featurestore *Featurestore `protobuf:"bytes,1,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// Featurestore resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   * `labels`
	//   * `online_serving_config.fixed_node_count`
	//   * `online_serving_config.scaling`
	//   * `online_storage_ttl_days`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].

func (*UpdateFeaturestoreRequest) Descriptor

func (*UpdateFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*UpdateFeaturestoreRequest) GetFeaturestore

func (x *UpdateFeaturestoreRequest) GetFeaturestore() *Featurestore

func (*UpdateFeaturestoreRequest) GetUpdateMask

func (x *UpdateFeaturestoreRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateFeaturestoreRequest) ProtoMessage

func (*UpdateFeaturestoreRequest) ProtoMessage()

func (*UpdateFeaturestoreRequest) ProtoReflect

func (x *UpdateFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*UpdateFeaturestoreRequest) Reset

func (x *UpdateFeaturestoreRequest) Reset()

func (*UpdateFeaturestoreRequest) String

func (x *UpdateFeaturestoreRequest) String() string

UpdateIndexEndpointRequest

type UpdateIndexEndpointRequest struct {

	// Required. The IndexEndpoint which replaces the resource on the server.
	IndexEndpoint *IndexEndpoint `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The update mask applies to the resource. See
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].

func (*UpdateIndexEndpointRequest) Descriptor

func (*UpdateIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*UpdateIndexEndpointRequest) GetIndexEndpoint

func (x *UpdateIndexEndpointRequest) GetIndexEndpoint() *IndexEndpoint

func (*UpdateIndexEndpointRequest) GetUpdateMask

func (x *UpdateIndexEndpointRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateIndexEndpointRequest) ProtoMessage

func (*UpdateIndexEndpointRequest) ProtoMessage()

func (*UpdateIndexEndpointRequest) ProtoReflect

func (x *UpdateIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*UpdateIndexEndpointRequest) Reset

func (x *UpdateIndexEndpointRequest) Reset()

func (*UpdateIndexEndpointRequest) String

func (x *UpdateIndexEndpointRequest) String() string

UpdateIndexOperationMetadata

type UpdateIndexOperationMetadata struct {
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`

	NearestNeighborSearchOperationMetadata *NearestNeighborSearchOperationMetadata "" /* 181 byte string literal not displayed */

}

Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].

func (*UpdateIndexOperationMetadata) Descriptor

func (*UpdateIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateIndexOperationMetadata) GetGenericMetadata

func (x *UpdateIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata

func (x *UpdateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata() *NearestNeighborSearchOperationMetadata

func (*UpdateIndexOperationMetadata) ProtoMessage

func (*UpdateIndexOperationMetadata) ProtoMessage()

func (*UpdateIndexOperationMetadata) ProtoReflect

func (x *UpdateIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateIndexOperationMetadata) Reset

func (x *UpdateIndexOperationMetadata) Reset()

func (*UpdateIndexOperationMetadata) String

func (x *UpdateIndexOperationMetadata) String() string

UpdateIndexRequest

type UpdateIndexRequest struct {

	// Required. The Index which updates the resource on the server.
	Index *Index `protobuf:"bytes,1,opt,name=index,proto3" json:"index,omitempty"`
	// The update mask applies to the resource.
	// For the `FieldMask` definition, see
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].

func (*UpdateIndexRequest) Descriptor

func (*UpdateIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateIndexRequest.ProtoReflect.Descriptor instead.

func (*UpdateIndexRequest) GetIndex

func (x *UpdateIndexRequest) GetIndex() *Index

func (*UpdateIndexRequest) GetUpdateMask

func (x *UpdateIndexRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateIndexRequest) ProtoMessage

func (*UpdateIndexRequest) ProtoMessage()

func (*UpdateIndexRequest) ProtoReflect

func (x *UpdateIndexRequest) ProtoReflect() protoreflect.Message

func (*UpdateIndexRequest) Reset

func (x *UpdateIndexRequest) Reset()

func (*UpdateIndexRequest) String

func (x *UpdateIndexRequest) String() string

UpdateModelDeploymentMonitoringJobOperationMetadata

type UpdateModelDeploymentMonitoringJobOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Descriptor

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateModelDeploymentMonitoringJobOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) GetGenericMetadata

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoMessage

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoMessage()

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoReflect

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Reset

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) Reset()

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) String

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) String() string

UpdateModelDeploymentMonitoringJobRequest

type UpdateModelDeploymentMonitoringJobRequest struct {
	ModelDeploymentMonitoringJob *ModelDeploymentMonitoringJob "" /* 149 byte string literal not displayed */

	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`

}

Request message for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].

func (*UpdateModelDeploymentMonitoringJobRequest) Descriptor

func (*UpdateModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*UpdateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob

func (x *UpdateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob() *ModelDeploymentMonitoringJob

func (*UpdateModelDeploymentMonitoringJobRequest) GetUpdateMask

func (x *UpdateModelDeploymentMonitoringJobRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateModelDeploymentMonitoringJobRequest) ProtoMessage

func (*UpdateModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*UpdateModelDeploymentMonitoringJobRequest) ProtoReflect

func (x *UpdateModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*UpdateModelDeploymentMonitoringJobRequest) Reset

func (x *UpdateModelDeploymentMonitoringJobRequest) Reset()

func (*UpdateModelDeploymentMonitoringJobRequest) String

func (x *UpdateModelDeploymentMonitoringJobRequest) String() string

UpdateModelRequest

type UpdateModelRequest struct {

	// Required. The Model which replaces the resource on the server.
	// When Model Versioning is enabled, the model.name will be used to determine
	// whether to update the model or model version.
	// 1. model.name with the @ value, e.g. models/123@1, refers to a version
	// specific update.
	// 2. model.name without the @ value, e.g. models/123, refers to a model
	// update.
	// 3. model.name with @-, e.g. models/123@-, refers to a model update.
	// 4. Supported model fields: display_name, description; supported
	// version-specific fields: version_description. Labels are supported in both
	// scenarios. Both the model labels and the version labels are merged when a
	// model is returned. When updating labels, if the request is for
	// model-specific update, model label gets updated. Otherwise, version labels
	// get updated.
	// 5. A model name or model version name fields update mismatch will cause a
	// precondition error.
	// 6. One request cannot update both the model and the version fields. You
	// must update them separately.
	Model *Model `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Required. The update mask applies to the resource.
	// For the `FieldMask` definition, see
	// [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].

func (*UpdateModelRequest) Descriptor

func (*UpdateModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateModelRequest.ProtoReflect.Descriptor instead.

func (*UpdateModelRequest) GetModel

func (x *UpdateModelRequest) GetModel() *Model

func (*UpdateModelRequest) GetUpdateMask

func (x *UpdateModelRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateModelRequest) ProtoMessage

func (*UpdateModelRequest) ProtoMessage()

func (*UpdateModelRequest) ProtoReflect

func (x *UpdateModelRequest) ProtoReflect() protoreflect.Message

func (*UpdateModelRequest) Reset

func (x *UpdateModelRequest) Reset()

func (*UpdateModelRequest) String

func (x *UpdateModelRequest) String() string

UpdateSpecialistPoolOperationMetadata

type UpdateSpecialistPoolOperationMetadata struct {

	// Output only. The name of the SpecialistPool to which the specialists are
	// being added. Format:
	// `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
	SpecialistPool string `protobuf:"bytes,1,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,2,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation metadata for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].

func (*UpdateSpecialistPoolOperationMetadata) Descriptor

func (*UpdateSpecialistPoolOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateSpecialistPoolOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateSpecialistPoolOperationMetadata) GetGenericMetadata

func (x *UpdateSpecialistPoolOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateSpecialistPoolOperationMetadata) GetSpecialistPool

func (x *UpdateSpecialistPoolOperationMetadata) GetSpecialistPool() string

func (*UpdateSpecialistPoolOperationMetadata) ProtoMessage

func (*UpdateSpecialistPoolOperationMetadata) ProtoMessage()

func (*UpdateSpecialistPoolOperationMetadata) ProtoReflect

func (x *UpdateSpecialistPoolOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateSpecialistPoolOperationMetadata) Reset

func (x *UpdateSpecialistPoolOperationMetadata) Reset()

func (*UpdateSpecialistPoolOperationMetadata) String

func (x *UpdateSpecialistPoolOperationMetadata) String() string

UpdateSpecialistPoolRequest

type UpdateSpecialistPoolRequest struct {

	// Required. The SpecialistPool which replaces the resource on the server.
	SpecialistPool *SpecialistPool `protobuf:"bytes,1,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
	// Required. The update mask applies to the resource.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].

func (*UpdateSpecialistPoolRequest) Descriptor

func (*UpdateSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*UpdateSpecialistPoolRequest) GetSpecialistPool

func (x *UpdateSpecialistPoolRequest) GetSpecialistPool() *SpecialistPool

func (*UpdateSpecialistPoolRequest) GetUpdateMask

func (x *UpdateSpecialistPoolRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateSpecialistPoolRequest) ProtoMessage

func (*UpdateSpecialistPoolRequest) ProtoMessage()

func (*UpdateSpecialistPoolRequest) ProtoReflect

func (x *UpdateSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*UpdateSpecialistPoolRequest) Reset

func (x *UpdateSpecialistPoolRequest) Reset()

func (*UpdateSpecialistPoolRequest) String

func (x *UpdateSpecialistPoolRequest) String() string

UpdateTensorboardExperimentRequest

type UpdateTensorboardExperimentRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// TensorboardExperiment resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field is overwritten if it's in the mask. If the
	// user does not provide a mask then all fields are overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The TensorboardExperiment's `name` field is used to identify the
	// TensorboardExperiment to be updated. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].

func (*UpdateTensorboardExperimentRequest) Descriptor

func (*UpdateTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardExperimentRequest) GetTensorboardExperiment

func (x *UpdateTensorboardExperimentRequest) GetTensorboardExperiment() *TensorboardExperiment

func (*UpdateTensorboardExperimentRequest) GetUpdateMask

func (x *UpdateTensorboardExperimentRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardExperimentRequest) ProtoMessage

func (*UpdateTensorboardExperimentRequest) ProtoMessage()

func (*UpdateTensorboardExperimentRequest) ProtoReflect

func (x *UpdateTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardExperimentRequest) Reset

func (x *UpdateTensorboardExperimentRequest) Reset()

func (*UpdateTensorboardExperimentRequest) String

func (x *UpdateTensorboardExperimentRequest) String() string

UpdateTensorboardOperationMetadata

type UpdateTensorboardOperationMetadata struct {

	// Operation metadata for Tensorboard.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update Tensorboard.

func (*UpdateTensorboardOperationMetadata) Descriptor

func (*UpdateTensorboardOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardOperationMetadata) GetGenericMetadata

func (x *UpdateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateTensorboardOperationMetadata) ProtoMessage

func (*UpdateTensorboardOperationMetadata) ProtoMessage()

func (*UpdateTensorboardOperationMetadata) ProtoReflect

func (x *UpdateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardOperationMetadata) Reset

func (x *UpdateTensorboardOperationMetadata) Reset()

func (*UpdateTensorboardOperationMetadata) String

func (x *UpdateTensorboardOperationMetadata) String() string

UpdateTensorboardRequest

type UpdateTensorboardRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// Tensorboard resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field is overwritten if it's in the mask. If the
	// user does not provide a mask then all fields are overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The Tensorboard's `name` field is used to identify the
	// Tensorboard to be updated. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].

func (*UpdateTensorboardRequest) Descriptor

func (*UpdateTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardRequest) GetTensorboard

func (x *UpdateTensorboardRequest) GetTensorboard() *Tensorboard

func (*UpdateTensorboardRequest) GetUpdateMask

func (x *UpdateTensorboardRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardRequest) ProtoMessage

func (*UpdateTensorboardRequest) ProtoMessage()

func (*UpdateTensorboardRequest) ProtoReflect

func (x *UpdateTensorboardRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardRequest) Reset

func (x *UpdateTensorboardRequest) Reset()

func (*UpdateTensorboardRequest) String

func (x *UpdateTensorboardRequest) String() string

UpdateTensorboardRunRequest

type UpdateTensorboardRunRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// TensorboardRun resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field is overwritten if it's in the mask. If the
	// user does not provide a mask then all fields are overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The TensorboardRun's `name` field is used to identify the
	// TensorboardRun to be updated. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].

func (*UpdateTensorboardRunRequest) Descriptor

func (*UpdateTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardRunRequest) GetTensorboardRun

func (x *UpdateTensorboardRunRequest) GetTensorboardRun() *TensorboardRun

func (*UpdateTensorboardRunRequest) GetUpdateMask

func (x *UpdateTensorboardRunRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardRunRequest) ProtoMessage

func (*UpdateTensorboardRunRequest) ProtoMessage()

func (*UpdateTensorboardRunRequest) ProtoReflect

func (x *UpdateTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardRunRequest) Reset

func (x *UpdateTensorboardRunRequest) Reset()

func (*UpdateTensorboardRunRequest) String

func (x *UpdateTensorboardRunRequest) String() string

UpdateTensorboardTimeSeriesRequest

type UpdateTensorboardTimeSeriesRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// TensorboardTimeSeries resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field is overwritten if it's in the mask. If the
	// user does not provide a mask then all fields are overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The TensorboardTimeSeries' `name` field is used to identify the
	// TensorboardTimeSeries to be updated.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TensorboardTimeSeries *TensorboardTimeSeries `protobuf:"bytes,2,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].

func (*UpdateTensorboardTimeSeriesRequest) Descriptor

func (*UpdateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries

func (x *UpdateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries() *TensorboardTimeSeries

func (*UpdateTensorboardTimeSeriesRequest) GetUpdateMask

func (x *UpdateTensorboardTimeSeriesRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardTimeSeriesRequest) ProtoMessage

func (*UpdateTensorboardTimeSeriesRequest) ProtoMessage()

func (*UpdateTensorboardTimeSeriesRequest) ProtoReflect

func (x *UpdateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardTimeSeriesRequest) Reset

func (x *UpdateTensorboardTimeSeriesRequest) Reset()

func (*UpdateTensorboardTimeSeriesRequest) String

func (x *UpdateTensorboardTimeSeriesRequest) String() string

UploadModelOperationMetadata

type UploadModelOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.

func (*UploadModelOperationMetadata) Descriptor

func (*UploadModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UploadModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*UploadModelOperationMetadata) GetGenericMetadata

func (x *UploadModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UploadModelOperationMetadata) ProtoMessage

func (*UploadModelOperationMetadata) ProtoMessage()

func (*UploadModelOperationMetadata) ProtoReflect

func (x *UploadModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*UploadModelOperationMetadata) Reset

func (x *UploadModelOperationMetadata) Reset()

func (*UploadModelOperationMetadata) String

func (x *UploadModelOperationMetadata) String() string

UploadModelRequest

type UploadModelRequest struct {

	// Required. The resource name of the Location into which to upload the Model.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The resource name of the model into which to upload the version.
	// Only specify this field when uploading a new version.
	ParentModel string `protobuf:"bytes,4,opt,name=parent_model,json=parentModel,proto3" json:"parent_model,omitempty"`
	// Optional. The ID to use for the uploaded Model, which will become the final
	// component of the model resource name.
	//
	// This value may be up to 63 characters, and valid characters are
	// `[a-z0-9_-]`. The first character cannot be a number or hyphen.
	ModelId string `protobuf:"bytes,5,opt,name=model_id,json=modelId,proto3" json:"model_id,omitempty"`
	// Required. The Model to create.
	Model *Model `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
	// Optional. The user-provided custom service account to use to do the model
	// upload. If empty, [Vertex AI Service
	// Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
	// will be used. Users uploading the Model must have the
	// `iam.serviceAccounts.actAs` permission on this service account. Also, this
	// account must belong to the project specified in the `parent` field and have
	// all necessary read permissions.
	ServiceAccount string `protobuf:"bytes,6,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].

func (*UploadModelRequest) Descriptor

func (*UploadModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use UploadModelRequest.ProtoReflect.Descriptor instead.

func (*UploadModelRequest) GetModel

func (x *UploadModelRequest) GetModel() *Model

func (*UploadModelRequest) GetModelId

func (x *UploadModelRequest) GetModelId() string

func (*UploadModelRequest) GetParent

func (x *UploadModelRequest) GetParent() string

func (*UploadModelRequest) GetParentModel

func (x *UploadModelRequest) GetParentModel() string

func (*UploadModelRequest) GetServiceAccount

func (x *UploadModelRequest) GetServiceAccount() string

func (*UploadModelRequest) ProtoMessage

func (*UploadModelRequest) ProtoMessage()

func (*UploadModelRequest) ProtoReflect

func (x *UploadModelRequest) ProtoReflect() protoreflect.Message

func (*UploadModelRequest) Reset

func (x *UploadModelRequest) Reset()

func (*UploadModelRequest) String

func (x *UploadModelRequest) String() string

UploadModelResponse

type UploadModelResponse struct {

	// The name of the uploaded Model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Output only. The version ID of the model that is uploaded.
	ModelVersionId string `protobuf:"bytes,2,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
	// contains filtered or unexported fields
}

Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.

func (*UploadModelResponse) Descriptor

func (*UploadModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use UploadModelResponse.ProtoReflect.Descriptor instead.

func (*UploadModelResponse) GetModel

func (x *UploadModelResponse) GetModel() string

func (*UploadModelResponse) GetModelVersionId

func (x *UploadModelResponse) GetModelVersionId() string

func (*UploadModelResponse) ProtoMessage

func (*UploadModelResponse) ProtoMessage()

func (*UploadModelResponse) ProtoReflect

func (x *UploadModelResponse) ProtoReflect() protoreflect.Message

func (*UploadModelResponse) Reset

func (x *UploadModelResponse) Reset()

func (*UploadModelResponse) String

func (x *UploadModelResponse) String() string

UpsertDatapointsRequest

type UpsertDatapointsRequest struct {

	// Required. The name of the Index resource to be updated.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Index string `protobuf:"bytes,1,opt,name=index,proto3" json:"index,omitempty"`
	// A list of datapoints to be created/updated.
	Datapoints []*IndexDatapoint `protobuf:"bytes,2,rep,name=datapoints,proto3" json:"datapoints,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]

func (*UpsertDatapointsRequest) Descriptor

func (*UpsertDatapointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpsertDatapointsRequest.ProtoReflect.Descriptor instead.

func (*UpsertDatapointsRequest) GetDatapoints

func (x *UpsertDatapointsRequest) GetDatapoints() []*IndexDatapoint

func (*UpsertDatapointsRequest) GetIndex

func (x *UpsertDatapointsRequest) GetIndex() string

func (*UpsertDatapointsRequest) ProtoMessage

func (*UpsertDatapointsRequest) ProtoMessage()

func (*UpsertDatapointsRequest) ProtoReflect

func (x *UpsertDatapointsRequest) ProtoReflect() protoreflect.Message

func (*UpsertDatapointsRequest) Reset

func (x *UpsertDatapointsRequest) Reset()

func (*UpsertDatapointsRequest) String

func (x *UpsertDatapointsRequest) String() string

UpsertDatapointsResponse

type UpsertDatapointsResponse struct {
	// contains filtered or unexported fields
}

Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]

func (*UpsertDatapointsResponse) Descriptor

func (*UpsertDatapointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use UpsertDatapointsResponse.ProtoReflect.Descriptor instead.

func (*UpsertDatapointsResponse) ProtoMessage

func (*UpsertDatapointsResponse) ProtoMessage()

func (*UpsertDatapointsResponse) ProtoReflect

func (x *UpsertDatapointsResponse) ProtoReflect() protoreflect.Message

func (*UpsertDatapointsResponse) Reset

func (x *UpsertDatapointsResponse) Reset()

func (*UpsertDatapointsResponse) String

func (x *UpsertDatapointsResponse) String() string

UserActionReference

type UserActionReference struct {

	// Types that are assignable to Reference:
	//	*UserActionReference_Operation
	//	*UserActionReference_DataLabelingJob
	Reference isUserActionReference_Reference `protobuf_oneof:"reference"`
	// The method name of the API RPC call. For example,
	// "/google.cloud.aiplatform.{apiVersion}.DatasetService.CreateDataset"
	Method string `protobuf:"bytes,3,opt,name=method,proto3" json:"method,omitempty"`
	// contains filtered or unexported fields
}

References an API call. It contains more information about long running operation and Jobs that are triggered by the API call.

func (*UserActionReference) Descriptor

func (*UserActionReference) Descriptor() ([]byte, []int)

Deprecated: Use UserActionReference.ProtoReflect.Descriptor instead.

func (*UserActionReference) GetDataLabelingJob

func (x *UserActionReference) GetDataLabelingJob() string

func (*UserActionReference) GetMethod

func (x *UserActionReference) GetMethod() string

func (*UserActionReference) GetOperation

func (x *UserActionReference) GetOperation() string

func (*UserActionReference) GetReference

func (m *UserActionReference) GetReference() isUserActionReference_Reference

func (*UserActionReference) ProtoMessage

func (*UserActionReference) ProtoMessage()

func (*UserActionReference) ProtoReflect

func (x *UserActionReference) ProtoReflect() protoreflect.Message

func (*UserActionReference) Reset

func (x *UserActionReference) Reset()

func (*UserActionReference) String

func (x *UserActionReference) String() string

UserActionReference_DataLabelingJob

type UserActionReference_DataLabelingJob struct {
	// For API calls that start a LabelingJob.
	// Resource name of the LabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	DataLabelingJob string `protobuf:"bytes,2,opt,name=data_labeling_job,json=dataLabelingJob,proto3,oneof"`
}

UserActionReference_Operation

type UserActionReference_Operation struct {
	// For API calls that return a long running operation.
	// Resource name of the long running operation.
	// Format:
	// `projects/{project}/locations/{location}/operations/{operation}`
	Operation string `protobuf:"bytes,1,opt,name=operation,proto3,oneof"`
}

Value

type Value struct {

	// Types that are assignable to Value:
	//	*Value_IntValue
	//	*Value_DoubleValue
	//	*Value_StringValue
	Value isValue_Value `protobuf_oneof:"value"`
	// contains filtered or unexported fields
}

Value is the value of the field.

func (*Value) Descriptor

func (*Value) Descriptor() ([]byte, []int)

Deprecated: Use Value.ProtoReflect.Descriptor instead.

func (*Value) GetDoubleValue

func (x *Value) GetDoubleValue() float64

func (*Value) GetIntValue

func (x *Value) GetIntValue() int64

func (*Value) GetStringValue

func (x *Value) GetStringValue() string

func (*Value) GetValue

func (m *Value) GetValue() isValue_Value

func (*Value) ProtoMessage

func (*Value) ProtoMessage()

func (*Value) ProtoReflect

func (x *Value) ProtoReflect() protoreflect.Message

func (*Value) Reset

func (x *Value) Reset()

func (*Value) String

func (x *Value) String() string

Value_DoubleValue

type Value_DoubleValue struct {
	// A double value.
	DoubleValue float64 `protobuf:"fixed64,2,opt,name=double_value,json=doubleValue,proto3,oneof"`
}

Value_IntValue

type Value_IntValue struct {
	// An integer value.
	IntValue int64 `protobuf:"varint,1,opt,name=int_value,json=intValue,proto3,oneof"`
}

Value_StringValue

type Value_StringValue struct {
	// A string value.
	StringValue string `protobuf:"bytes,3,opt,name=string_value,json=stringValue,proto3,oneof"`
}

VizierServiceClient

type VizierServiceClient interface {
	// Creates a Study. A resource name will be generated after creation of the
	// Study.
	CreateStudy(ctx context.Context, in *CreateStudyRequest, opts ...grpc.CallOption) (*Study, error)
	// Gets a Study by name.
	GetStudy(ctx context.Context, in *GetStudyRequest, opts ...grpc.CallOption) (*Study, error)
	// Lists all the studies in a region for an associated project.
	ListStudies(ctx context.Context, in *ListStudiesRequest, opts ...grpc.CallOption) (*ListStudiesResponse, error)
	// Deletes a Study.
	DeleteStudy(ctx context.Context, in *DeleteStudyRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Looks a study up using the user-defined display_name field instead of the
	// fully qualified resource name.
	LookupStudy(ctx context.Context, in *LookupStudyRequest, opts ...grpc.CallOption) (*Study, error)
	// Adds one or more Trials to a Study, with parameter values
	// suggested by Vertex AI Vizier. Returns a long-running
	// operation associated with the generation of Trial suggestions.
	// When this long-running operation succeeds, it will contain
	// a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse].
	SuggestTrials(ctx context.Context, in *SuggestTrialsRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Adds a user provided Trial to a Study.
	CreateTrial(ctx context.Context, in *CreateTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Gets a Trial.
	GetTrial(ctx context.Context, in *GetTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Lists the Trials associated with a Study.
	ListTrials(ctx context.Context, in *ListTrialsRequest, opts ...grpc.CallOption) (*ListTrialsResponse, error)
	// Adds a measurement of the objective metrics to a Trial. This measurement
	// is assumed to have been taken before the Trial is complete.
	AddTrialMeasurement(ctx context.Context, in *AddTrialMeasurementRequest, opts ...grpc.CallOption) (*Trial, error)
	// Marks a Trial as complete.
	CompleteTrial(ctx context.Context, in *CompleteTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Deletes a Trial.
	DeleteTrial(ctx context.Context, in *DeleteTrialRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Checks  whether a Trial should stop or not. Returns a
	// long-running operation. When the operation is successful,
	// it will contain a
	// [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse].
	CheckTrialEarlyStoppingState(ctx context.Context, in *CheckTrialEarlyStoppingStateRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Stops a Trial.
	StopTrial(ctx context.Context, in *StopTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Lists the pareto-optimal Trials for multi-objective Study or the
	// optimal Trials for single-objective Study. The definition of
	// pareto-optimal can be checked in wiki page.
	// https://en.wikipedia.org/wiki/Pareto_efficiency
	ListOptimalTrials(ctx context.Context, in *ListOptimalTrialsRequest, opts ...grpc.CallOption) (*ListOptimalTrialsResponse, error)
}

VizierServiceClient is the client API for VizierService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewVizierServiceClient

func NewVizierServiceClient(cc grpc.ClientConnInterface) VizierServiceClient

VizierServiceServer

type VizierServiceServer interface {
	// Creates a Study. A resource name will be generated after creation of the
	// Study.
	CreateStudy(context.Context, *CreateStudyRequest) (*Study, error)
	// Gets a Study by name.
	GetStudy(context.Context, *GetStudyRequest) (*Study, error)
	// Lists all the studies in a region for an associated project.
	ListStudies(context.Context, *ListStudiesRequest) (*ListStudiesResponse, error)
	// Deletes a Study.
	DeleteStudy(context.Context, *DeleteStudyRequest) (*emptypb.Empty, error)
	// Looks a study up using the user-defined display_name field instead of the
	// fully qualified resource name.
	LookupStudy(context.Context, *LookupStudyRequest) (*Study, error)
	// Adds one or more Trials to a Study, with parameter values
	// suggested by Vertex AI Vizier. Returns a long-running
	// operation associated with the generation of Trial suggestions.
	// When this long-running operation succeeds, it will contain
	// a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse].
	SuggestTrials(context.Context, *SuggestTrialsRequest) (*longrunningpb.Operation, error)
	// Adds a user provided Trial to a Study.
	CreateTrial(context.Context, *CreateTrialRequest) (*Trial, error)
	// Gets a Trial.
	GetTrial(context.Context, *GetTrialRequest) (*Trial, error)
	// Lists the Trials associated with a Study.
	ListTrials(context.Context, *ListTrialsRequest) (*ListTrialsResponse, error)
	// Adds a measurement of the objective metrics to a Trial. This measurement
	// is assumed to have been taken before the Trial is complete.
	AddTrialMeasurement(context.Context, *AddTrialMeasurementRequest) (*Trial, error)
	// Marks a Trial as complete.
	CompleteTrial(context.Context, *CompleteTrialRequest) (*Trial, error)
	// Deletes a Trial.
	DeleteTrial(context.Context, *DeleteTrialRequest) (*emptypb.Empty, error)
	// Checks  whether a Trial should stop or not. Returns a
	// long-running operation. When the operation is successful,
	// it will contain a
	// [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse].
	CheckTrialEarlyStoppingState(context.Context, *CheckTrialEarlyStoppingStateRequest) (*longrunningpb.Operation, error)
	// Stops a Trial.
	StopTrial(context.Context, *StopTrialRequest) (*Trial, error)
	// Lists the pareto-optimal Trials for multi-objective Study or the
	// optimal Trials for single-objective Study. The definition of
	// pareto-optimal can be checked in wiki page.
	// https://en.wikipedia.org/wiki/Pareto_efficiency
	ListOptimalTrials(context.Context, *ListOptimalTrialsRequest) (*ListOptimalTrialsResponse, error)
}

VizierServiceServer is the server API for VizierService service.

WorkerPoolSpec

type WorkerPoolSpec struct {

	// The custom task to be executed in this worker pool.
	//
	// Types that are assignable to Task:
	//	*WorkerPoolSpec_ContainerSpec
	//	*WorkerPoolSpec_PythonPackageSpec
	Task isWorkerPoolSpec_Task `protobuf_oneof:"task"`
	// Optional. Immutable. The specification of a single machine.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Optional. The number of worker replicas to use for this worker pool.
	ReplicaCount int64 `protobuf:"varint,2,opt,name=replica_count,json=replicaCount,proto3" json:"replica_count,omitempty"`
	// Optional. List of NFS mount spec.
	NfsMounts []*NfsMount `protobuf:"bytes,4,rep,name=nfs_mounts,json=nfsMounts,proto3" json:"nfs_mounts,omitempty"`
	// Disk spec.
	DiskSpec *DiskSpec `protobuf:"bytes,5,opt,name=disk_spec,json=diskSpec,proto3" json:"disk_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of a worker pool in a job.

func (*WorkerPoolSpec) Descriptor

func (*WorkerPoolSpec) Descriptor() ([]byte, []int)

Deprecated: Use WorkerPoolSpec.ProtoReflect.Descriptor instead.

func (*WorkerPoolSpec) GetContainerSpec

func (x *WorkerPoolSpec) GetContainerSpec() *ContainerSpec

func (*WorkerPoolSpec) GetDiskSpec

func (x *WorkerPoolSpec) GetDiskSpec() *DiskSpec

func (*WorkerPoolSpec) GetMachineSpec

func (x *WorkerPoolSpec) GetMachineSpec() *MachineSpec

func (*WorkerPoolSpec) GetNfsMounts

func (x *WorkerPoolSpec) GetNfsMounts() []*NfsMount

func (*WorkerPoolSpec) GetPythonPackageSpec

func (x *WorkerPoolSpec) GetPythonPackageSpec() *PythonPackageSpec

func (*WorkerPoolSpec) GetReplicaCount

func (x *WorkerPoolSpec) GetReplicaCount() int64

func (*WorkerPoolSpec) GetTask

func (m *WorkerPoolSpec) GetTask() isWorkerPoolSpec_Task

func (*WorkerPoolSpec) ProtoMessage

func (*WorkerPoolSpec) ProtoMessage()

func (*WorkerPoolSpec) ProtoReflect

func (x *WorkerPoolSpec) ProtoReflect() protoreflect.Message

func (*WorkerPoolSpec) Reset

func (x *WorkerPoolSpec) Reset()

func (*WorkerPoolSpec) String

func (x *WorkerPoolSpec) String() string

WorkerPoolSpec_ContainerSpec

type WorkerPoolSpec_ContainerSpec struct {
	// The custom container task.
	ContainerSpec *ContainerSpec `protobuf:"bytes,6,opt,name=container_spec,json=containerSpec,proto3,oneof"`
}

WorkerPoolSpec_PythonPackageSpec

type WorkerPoolSpec_PythonPackageSpec struct {
	// The Python packaged task.
	PythonPackageSpec *PythonPackageSpec `protobuf:"bytes,7,opt,name=python_package_spec,json=pythonPackageSpec,proto3,oneof"`
}

WriteFeatureValuesPayload

type WriteFeatureValuesPayload struct {
	EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`

	FeatureValues map[string]*FeatureValue "" /* 188 byte string literal not displayed */

}

Contains Feature values to be written for a specific entity.

func (*WriteFeatureValuesPayload) Descriptor

func (*WriteFeatureValuesPayload) Descriptor() ([]byte, []int)

Deprecated: Use WriteFeatureValuesPayload.ProtoReflect.Descriptor instead.

func (*WriteFeatureValuesPayload) GetEntityId

func (x *WriteFeatureValuesPayload) GetEntityId() string

func (*WriteFeatureValuesPayload) GetFeatureValues

func (x *WriteFeatureValuesPayload) GetFeatureValues() map[string]*FeatureValue

func (*WriteFeatureValuesPayload) ProtoMessage

func (*WriteFeatureValuesPayload) ProtoMessage()

func (*WriteFeatureValuesPayload) ProtoReflect

func (x *WriteFeatureValuesPayload) ProtoReflect() protoreflect.Message

func (*WriteFeatureValuesPayload) Reset

func (x *WriteFeatureValuesPayload) Reset()

func (*WriteFeatureValuesPayload) String

func (x *WriteFeatureValuesPayload) String() string

WriteFeatureValuesRequest

type WriteFeatureValuesRequest struct {

	// Required. The resource name of the EntityType for the entities being
	// written. Value format:
	// `projects/{project}/locations/{location}/featurestores/
	// {featurestore}/entityTypes/{entityType}`. For example,
	// for a machine learning model predicting user clicks on a website, an
	// EntityType ID could be `user`.
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. The entities to be written. Up to 100,000 feature values can be
	// written across all `payloads`.
	Payloads []*WriteFeatureValuesPayload `protobuf:"bytes,2,rep,name=payloads,proto3" json:"payloads,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].

func (*WriteFeatureValuesRequest) Descriptor

func (*WriteFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use WriteFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*WriteFeatureValuesRequest) GetEntityType

func (x *WriteFeatureValuesRequest) GetEntityType() string

func (*WriteFeatureValuesRequest) GetPayloads

func (x *WriteFeatureValuesRequest) GetPayloads() []*WriteFeatureValuesPayload

func (*WriteFeatureValuesRequest) ProtoMessage

func (*WriteFeatureValuesRequest) ProtoMessage()

func (*WriteFeatureValuesRequest) ProtoReflect

func (x *WriteFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*WriteFeatureValuesRequest) Reset

func (x *WriteFeatureValuesRequest) Reset()

func (*WriteFeatureValuesRequest) String

func (x *WriteFeatureValuesRequest) String() string

WriteFeatureValuesResponse

type WriteFeatureValuesResponse struct {
	// contains filtered or unexported fields
}

Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].

func (*WriteFeatureValuesResponse) Descriptor

func (*WriteFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use WriteFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*WriteFeatureValuesResponse) ProtoMessage

func (*WriteFeatureValuesResponse) ProtoMessage()

func (*WriteFeatureValuesResponse) ProtoReflect

func (x *WriteFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*WriteFeatureValuesResponse) Reset

func (x *WriteFeatureValuesResponse) Reset()

func (*WriteFeatureValuesResponse) String

func (x *WriteFeatureValuesResponse) String() string

WriteTensorboardExperimentDataRequest

type WriteTensorboardExperimentDataRequest struct {

	// Required. The resource name of the TensorboardExperiment to write data to.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	TensorboardExperiment string `protobuf:"bytes,1,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
	// Required. Requests containing per-run TensorboardTimeSeries data to write.
	WriteRunDataRequests []*WriteTensorboardRunDataRequest `protobuf:"bytes,2,rep,name=write_run_data_requests,json=writeRunDataRequests,proto3" json:"write_run_data_requests,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].

func (*WriteTensorboardExperimentDataRequest) Descriptor

func (*WriteTensorboardExperimentDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use WriteTensorboardExperimentDataRequest.ProtoReflect.Descriptor instead.

func (*WriteTensorboardExperimentDataRequest) GetTensorboardExperiment

func (x *WriteTensorboardExperimentDataRequest) GetTensorboardExperiment() string

func (*WriteTensorboardExperimentDataRequest) GetWriteRunDataRequests

func (x *WriteTensorboardExperimentDataRequest) GetWriteRunDataRequests() []*WriteTensorboardRunDataRequest

func (*WriteTensorboardExperimentDataRequest) ProtoMessage

func (*WriteTensorboardExperimentDataRequest) ProtoMessage()

func (*WriteTensorboardExperimentDataRequest) ProtoReflect

func (x *WriteTensorboardExperimentDataRequest) ProtoReflect() protoreflect.Message

func (*WriteTensorboardExperimentDataRequest) Reset

func (x *WriteTensorboardExperimentDataRequest) Reset()

func (*WriteTensorboardExperimentDataRequest) String

func (x *WriteTensorboardExperimentDataRequest) String() string

WriteTensorboardExperimentDataResponse

type WriteTensorboardExperimentDataResponse struct {
	// contains filtered or unexported fields
}

Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].

func (*WriteTensorboardExperimentDataResponse) Descriptor

func (*WriteTensorboardExperimentDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use WriteTensorboardExperimentDataResponse.ProtoReflect.Descriptor instead.

func (*WriteTensorboardExperimentDataResponse) ProtoMessage

func (*WriteTensorboardExperimentDataResponse) ProtoMessage()

func (*WriteTensorboardExperimentDataResponse) ProtoReflect

func (x *WriteTensorboardExperimentDataResponse) ProtoReflect() protoreflect.Message

func (*WriteTensorboardExperimentDataResponse) Reset

func (x *WriteTensorboardExperimentDataResponse) Reset()

func (*WriteTensorboardExperimentDataResponse) String

func (x *WriteTensorboardExperimentDataResponse) String() string

WriteTensorboardRunDataRequest

type WriteTensorboardRunDataRequest struct {

	// Required. The resource name of the TensorboardRun to write data to.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	TensorboardRun string `protobuf:"bytes,1,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
	// Required. The TensorboardTimeSeries data to write.
	// Values with in a time series are indexed by their step value.
	// Repeated writes to the same step will overwrite the existing value for that
	// step.
	// The upper limit of data points per write request is 5000.
	TimeSeriesData []*TimeSeriesData `protobuf:"bytes,2,rep,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].

func (*WriteTensorboardRunDataRequest) Descriptor

func (*WriteTensorboardRunDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use WriteTensorboardRunDataRequest.ProtoReflect.Descriptor instead.

func (*WriteTensorboardRunDataRequest) GetTensorboardRun

func (x *WriteTensorboardRunDataRequest) GetTensorboardRun() string

func (*WriteTensorboardRunDataRequest) GetTimeSeriesData

func (x *WriteTensorboardRunDataRequest) GetTimeSeriesData() []*TimeSeriesData

func (*WriteTensorboardRunDataRequest) ProtoMessage

func (*WriteTensorboardRunDataRequest) ProtoMessage()

func (*WriteTensorboardRunDataRequest) ProtoReflect

func (x *WriteTensorboardRunDataRequest) ProtoReflect() protoreflect.Message

func (*WriteTensorboardRunDataRequest) Reset

func (x *WriteTensorboardRunDataRequest) Reset()

func (*WriteTensorboardRunDataRequest) String

func (x *WriteTensorboardRunDataRequest) String() string

WriteTensorboardRunDataResponse

type WriteTensorboardRunDataResponse struct {
	// contains filtered or unexported fields
}

Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].

func (*WriteTensorboardRunDataResponse) Descriptor

func (*WriteTensorboardRunDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use WriteTensorboardRunDataResponse.ProtoReflect.Descriptor instead.

func (*WriteTensorboardRunDataResponse) ProtoMessage

func (*WriteTensorboardRunDataResponse) ProtoMessage()

func (*WriteTensorboardRunDataResponse) ProtoReflect

func (x *WriteTensorboardRunDataResponse) ProtoReflect() protoreflect.Message

func (*WriteTensorboardRunDataResponse) Reset

func (x *WriteTensorboardRunDataResponse) Reset()

func (*WriteTensorboardRunDataResponse) String

func (x *WriteTensorboardRunDataResponse) String() string

XraiAttribution

type XraiAttribution struct {

	// Required. The number of steps for approximating the path integral.
	// A good value to start is 50 and gradually increase until the
	// sum to diff property is met within the desired error range.
	//
	// Valid range of its value is [1, 100], inclusively.
	StepCount int32 `protobuf:"varint,1,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
	// Config for SmoothGrad approximation of gradients.
	//
	// When enabled, the gradients are approximated by averaging the gradients
	// from noisy samples in the vicinity of the inputs. Adding
	// noise can help improve the computed gradients. Refer to this paper for more
	// details: https://arxiv.org/pdf/1706.03825.pdf
	SmoothGradConfig *SmoothGradConfig `protobuf:"bytes,2,opt,name=smooth_grad_config,json=smoothGradConfig,proto3" json:"smooth_grad_config,omitempty"`
	// Config for XRAI with blur baseline.
	//
	// When enabled, a linear path from the maximally blurred image to the input
	// image is created. Using a blurred baseline instead of zero (black image) is
	// motivated by the BlurIG approach explained here:
	// https://arxiv.org/abs/2004.03383
	BlurBaselineConfig *BlurBaselineConfig `protobuf:"bytes,3,opt,name=blur_baseline_config,json=blurBaselineConfig,proto3" json:"blur_baseline_config,omitempty"`
	// contains filtered or unexported fields
}

An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825

Supported only by image Models.

func (*XraiAttribution) Descriptor

func (*XraiAttribution) Descriptor() ([]byte, []int)

Deprecated: Use XraiAttribution.ProtoReflect.Descriptor instead.

func (*XraiAttribution) GetBlurBaselineConfig

func (x *XraiAttribution) GetBlurBaselineConfig() *BlurBaselineConfig

func (*XraiAttribution) GetSmoothGradConfig

func (x *XraiAttribution) GetSmoothGradConfig() *SmoothGradConfig

func (*XraiAttribution) GetStepCount

func (x *XraiAttribution) GetStepCount() int32

func (*XraiAttribution) ProtoMessage

func (*XraiAttribution) ProtoMessage()

func (*XraiAttribution) ProtoReflect

func (x *XraiAttribution) ProtoReflect() protoreflect.Message

func (*XraiAttribution) Reset

func (x *XraiAttribution) Reset()

func (*XraiAttribution) String

func (x *XraiAttribution) String() string