Package cloud.google.com/go/aiplatform/apiv1/aiplatformpb (v1.62.2)

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",
		9:  "NVIDIA_A100_80GB",
		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_A100_80GB":             9,
		"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.

HarmCategory_name, HarmCategory_value

var (
	HarmCategory_name = map[int32]string{
		0: "HARM_CATEGORY_UNSPECIFIED",
		1: "HARM_CATEGORY_HATE_SPEECH",
		2: "HARM_CATEGORY_DANGEROUS_CONTENT",
		3: "HARM_CATEGORY_HARASSMENT",
		4: "HARM_CATEGORY_SEXUALLY_EXPLICIT",
	}
	HarmCategory_value = map[string]int32{
		"HARM_CATEGORY_UNSPECIFIED":       0,
		"HARM_CATEGORY_HATE_SPEECH":       1,
		"HARM_CATEGORY_DANGEROUS_CONTENT": 2,
		"HARM_CATEGORY_HARASSMENT":        3,
		"HARM_CATEGORY_SEXUALLY_EXPLICIT": 4,
	}
)

Enum value maps for HarmCategory.

SafetySetting_HarmBlockThreshold_name, SafetySetting_HarmBlockThreshold_value

var (
	SafetySetting_HarmBlockThreshold_name = map[int32]string{
		0: "HARM_BLOCK_THRESHOLD_UNSPECIFIED",
		1: "BLOCK_LOW_AND_ABOVE",
		2: "BLOCK_MEDIUM_AND_ABOVE",
		3: "BLOCK_ONLY_HIGH",
		4: "BLOCK_NONE",
	}
	SafetySetting_HarmBlockThreshold_value = map[string]int32{
		"HARM_BLOCK_THRESHOLD_UNSPECIFIED": 0,
		"BLOCK_LOW_AND_ABOVE":              1,
		"BLOCK_MEDIUM_AND_ABOVE":           2,
		"BLOCK_ONLY_HIGH":                  3,
		"BLOCK_NONE":                       4,
	}
)

Enum value maps for SafetySetting_HarmBlockThreshold.

SafetyRating_HarmProbability_name, SafetyRating_HarmProbability_value

var (
	SafetyRating_HarmProbability_name = map[int32]string{
		0: "HARM_PROBABILITY_UNSPECIFIED",
		1: "NEGLIGIBLE",
		2: "LOW",
		3: "MEDIUM",
		4: "HIGH",
	}
	SafetyRating_HarmProbability_value = map[string]int32{
		"HARM_PROBABILITY_UNSPECIFIED": 0,
		"NEGLIGIBLE":                   1,
		"LOW":                          2,
		"MEDIUM":                       3,
		"HIGH":                         4,
	}
)

Enum value maps for SafetyRating_HarmProbability.

Candidate_FinishReason_name, Candidate_FinishReason_value

var (
	Candidate_FinishReason_name = map[int32]string{
		0: "FINISH_REASON_UNSPECIFIED",
		1: "STOP",
		2: "MAX_TOKENS",
		3: "SAFETY",
		4: "RECITATION",
		5: "OTHER",
	}
	Candidate_FinishReason_value = map[string]int32{
		"FINISH_REASON_UNSPECIFIED": 0,
		"STOP":                      1,
		"MAX_TOKENS":                2,
		"SAFETY":                    3,
		"RECITATION":                4,
		"OTHER":                     5,
	}
)

Enum value maps for Candidate_FinishReason.

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.

ExportDataConfig_ExportUse_name, ExportDataConfig_ExportUse_value

var (
	ExportDataConfig_ExportUse_name = map[int32]string{
		0: "EXPORT_USE_UNSPECIFIED",
		6: "CUSTOM_CODE_TRAINING",
	}
	ExportDataConfig_ExportUse_value = map[string]int32{
		"EXPORT_USE_UNSPECIFIED": 0,
		"CUSTOM_CODE_TRAINING":   6,
	}
)

Enum value maps for ExportDataConfig_ExportUse.

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.

Examples_ExampleGcsSource_DataFormat_name, Examples_ExampleGcsSource_DataFormat_value

var (
	Examples_ExampleGcsSource_DataFormat_name = map[int32]string{
		0: "DATA_FORMAT_UNSPECIFIED",
		1: "JSONL",
	}
	Examples_ExampleGcsSource_DataFormat_value = map[string]int32{
		"DATA_FORMAT_UNSPECIFIED": 0,
		"JSONL":                   1,
	}
)

Enum value maps for Examples_ExampleGcsSource_DataFormat.

Presets_Query_name, Presets_Query_value

var (
	Presets_Query_name = map[int32]string{
		0: "PRECISE",
		1: "FAST",
	}
	Presets_Query_value = map[string]int32{
		"PRECISE": 0,
		"FAST":    1,
	}
)

Enum value maps for Presets_Query.

Presets_Modality_name, Presets_Modality_value

var (
	Presets_Modality_name = map[int32]string{
		0: "MODALITY_UNSPECIFIED",
		1: "IMAGE",
		2: "TEXT",
		3: "TABULAR",
	}
	Presets_Modality_value = map[string]int32{
		"MODALITY_UNSPECIFIED": 0,
		"IMAGE":                1,
		"TEXT":                 2,
		"TABULAR":              3,
	}
)

Enum value maps for Presets_Modality.

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.

FeatureOnlineStore_State_name, FeatureOnlineStore_State_value

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

Enum value maps for FeatureOnlineStore_State.

FeatureViewDataFormat_name, FeatureViewDataFormat_value

var (
	FeatureViewDataFormat_name = map[int32]string{
		0: "FEATURE_VIEW_DATA_FORMAT_UNSPECIFIED",
		1: "KEY_VALUE",
		2: "PROTO_STRUCT",
	}
	FeatureViewDataFormat_value = map[string]int32{
		"FEATURE_VIEW_DATA_FORMAT_UNSPECIFIED": 0,
		"KEY_VALUE":                            1,
		"PROTO_STRUCT":                         2,
	}
)

Enum value maps for FeatureViewDataFormat.

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.

IndexDatapoint_NumericRestriction_Operator_name, IndexDatapoint_NumericRestriction_Operator_value

var (
	IndexDatapoint_NumericRestriction_Operator_name = map[int32]string{
		0: "OPERATOR_UNSPECIFIED",
		1: "LESS",
		2: "LESS_EQUAL",
		3: "EQUAL",
		4: "GREATER_EQUAL",
		5: "GREATER",
	}
	IndexDatapoint_NumericRestriction_Operator_value = map[string]int32{
		"OPERATOR_UNSPECIFIED": 0,
		"LESS":                 1,
		"LESS_EQUAL":           2,
		"EQUAL":                3,
		"GREATER_EQUAL":        4,
		"GREATER":              5,
	}
)

Enum value maps for IndexDatapoint_NumericRestriction_Operator.

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",
		8:  "PARSING_ERROR",
		9:  "DUPLICATE_NAMESPACE",
		10: "OP_IN_DATAPOINT",
		11: "MULTIPLE_VALUES",
		12: "INVALID_NUMERIC_VALUE",
		13: "INVALID_ENCODING",
	}
	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,
		"PARSING_ERROR":           8,
		"DUPLICATE_NAMESPACE":     9,
		"OP_IN_DATAPOINT":         10,
		"MULTIPLE_VALUES":         11,
		"INVALID_NUMERIC_VALUE":   12,
		"INVALID_ENCODING":        13,
	}
)

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",
		11: "JOB_STATE_PARTIALLY_SUCCEEDED",
	}
	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,
		"JOB_STATE_PARTIALLY_SUCCEEDED": 11,
	}
)

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",
		6: "CUSTOM_TEXT_EMBEDDING",
		7: "MARKETPLACE",
	}
	ModelSourceInfo_ModelSourceType_value = map[string]int32{
		"MODEL_SOURCE_TYPE_UNSPECIFIED": 0,
		"AUTOML":                        1,
		"CUSTOM":                        2,
		"BQML":                          3,
		"MODEL_GARDEN":                  4,
		"GENIE":                         5,
		"CUSTOM_TEXT_EMBEDDING":         6,
		"MARKETPLACE":                   7,
	}
)

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.

PublisherModelView_name, PublisherModelView_value

var (
	PublisherModelView_name = map[int32]string{
		0: "PUBLISHER_MODEL_VIEW_UNSPECIFIED",
		1: "PUBLISHER_MODEL_VIEW_BASIC",
		2: "PUBLISHER_MODEL_VIEW_FULL",
		3: "PUBLISHER_MODEL_VERSION_VIEW_BASIC",
	}
	PublisherModelView_value = map[string]int32{
		"PUBLISHER_MODEL_VIEW_UNSPECIFIED":   0,
		"PUBLISHER_MODEL_VIEW_BASIC":         1,
		"PUBLISHER_MODEL_VIEW_FULL":          2,
		"PUBLISHER_MODEL_VERSION_VIEW_BASIC": 3,
	}
)

Enum value maps for PublisherModelView.

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.

Type_name, Type_value

var (
	Type_name = map[int32]string{
		0: "TYPE_UNSPECIFIED",
		1: "STRING",
		2: "NUMBER",
		3: "INTEGER",
		4: "BOOLEAN",
		5: "ARRAY",
		6: "OBJECT",
	}
	Type_value = map[string]int32{
		"TYPE_UNSPECIFIED": 0,
		"STRING":           1,
		"NUMBER":           2,
		"INTEGER":          3,
		"BOOLEAN":          4,
		"ARRAY":            5,
		"OBJECT":           6,
	}
)

Enum value maps for Type.

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.

GenerateContentResponse_PromptFeedback_BlockedReason_name, GenerateContentResponse_PromptFeedback_BlockedReason_value

var (
	GenerateContentResponse_PromptFeedback_BlockedReason_name = map[int32]string{
		0: "BLOCKED_REASON_UNSPECIFIED",
		1: "SAFETY",
		2: "OTHER",
	}
	GenerateContentResponse_PromptFeedback_BlockedReason_value = map[string]int32{
		"BLOCKED_REASON_UNSPECIFIED": 0,
		"SAFETY":                     1,
		"OTHER":                      2,
	}
)

Enum value maps for GenerateContentResponse_PromptFeedback_BlockedReason.

PublisherModel_OpenSourceCategory_name, PublisherModel_OpenSourceCategory_value

var (
	PublisherModel_OpenSourceCategory_name = map[int32]string{
		0: "OPEN_SOURCE_CATEGORY_UNSPECIFIED",
		1: "PROPRIETARY",
		2: "GOOGLE_OWNED_OSS_WITH_GOOGLE_CHECKPOINT",
		3: "THIRD_PARTY_OWNED_OSS_WITH_GOOGLE_CHECKPOINT",
		4: "GOOGLE_OWNED_OSS",
		5: "THIRD_PARTY_OWNED_OSS",
	}
	PublisherModel_OpenSourceCategory_value = map[string]int32{
		"OPEN_SOURCE_CATEGORY_UNSPECIFIED":             0,
		"PROPRIETARY":                                  1,
		"GOOGLE_OWNED_OSS_WITH_GOOGLE_CHECKPOINT":      2,
		"THIRD_PARTY_OWNED_OSS_WITH_GOOGLE_CHECKPOINT": 3,
		"GOOGLE_OWNED_OSS":                             4,
		"THIRD_PARTY_OWNED_OSS":                        5,
	}
)

Enum value maps for PublisherModel_OpenSourceCategory.

PublisherModel_LaunchStage_name, PublisherModel_LaunchStage_value

var (
	PublisherModel_LaunchStage_name = map[int32]string{
		0: "LAUNCH_STAGE_UNSPECIFIED",
		1: "EXPERIMENTAL",
		2: "PRIVATE_PREVIEW",
		3: "PUBLIC_PREVIEW",
		4: "GA",
	}
	PublisherModel_LaunchStage_value = map[string]int32{
		"LAUNCH_STAGE_UNSPECIFIED": 0,
		"EXPERIMENTAL":             1,
		"PRIVATE_PREVIEW":          2,
		"PUBLIC_PREVIEW":           3,
		"GA":                       4,
	}
)

Enum value maps for PublisherModel_LaunchStage.

PublisherModel_VersionState_name, PublisherModel_VersionState_value

var (
	PublisherModel_VersionState_name = map[int32]string{
		0: "VERSION_STATE_UNSPECIFIED",
		1: "VERSION_STATE_STABLE",
		2: "VERSION_STATE_UNSTABLE",
	}
	PublisherModel_VersionState_value = map[string]int32{
		"VERSION_STATE_UNSPECIFIED": 0,
		"VERSION_STATE_STABLE":      1,
		"VERSION_STATE_UNSTABLE":    2,
	}
)

Enum value maps for PublisherModel_VersionState.

Schedule_State_name, Schedule_State_value

var (
	Schedule_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "ACTIVE",
		2: "PAUSED",
		3: "COMPLETED",
	}
	Schedule_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"ACTIVE":            1,
		"PAUSED":            2,
		"COMPLETED":         3,
	}
)

Enum value maps for Schedule_State.

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.

Tensor_DataType_name, Tensor_DataType_value

var (
	Tensor_DataType_name = map[int32]string{
		0:  "DATA_TYPE_UNSPECIFIED",
		1:  "BOOL",
		2:  "STRING",
		3:  "FLOAT",
		4:  "DOUBLE",
		5:  "INT8",
		6:  "INT16",
		7:  "INT32",
		8:  "INT64",
		9:  "UINT8",
		10: "UINT16",
		11: "UINT32",
		12: "UINT64",
	}
	Tensor_DataType_value = map[string]int32{
		"DATA_TYPE_UNSPECIFIED": 0,
		"BOOL":                  1,
		"STRING":                2,
		"FLOAT":                 3,
		"DOUBLE":                4,
		"INT8":                  5,
		"INT16":                 6,
		"INT32":                 7,
		"INT64":                 8,
		"UINT8":                 9,
		"UINT16":                10,
		"UINT32":                11,
		"UINT64":                12,
	}
)

Enum value maps for Tensor_DataType.

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_content_proto

var File_google_cloud_aiplatform_v1_content_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_dataset_version_proto

var File_google_cloud_aiplatform_v1_dataset_version_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_deployment_resource_pool_proto

var File_google_cloud_aiplatform_v1_deployment_resource_pool_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_deployment_resource_pool_service_proto

var File_google_cloud_aiplatform_v1_deployment_resource_pool_service_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_group_proto

var File_google_cloud_aiplatform_v1_feature_group_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_online_store_admin_service_proto

var File_google_cloud_aiplatform_v1_feature_online_store_admin_service_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_feature_online_store_proto

var File_google_cloud_aiplatform_v1_feature_online_store_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_feature_online_store_service_proto

var File_google_cloud_aiplatform_v1_feature_online_store_service_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_registry_service_proto

var File_google_cloud_aiplatform_v1_feature_registry_service_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_feature_view_proto

var File_google_cloud_aiplatform_v1_feature_view_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_feature_view_sync_proto

var File_google_cloud_aiplatform_v1_feature_view_sync_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_llm_utility_service_proto

var File_google_cloud_aiplatform_v1_llm_utility_service_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_match_service_proto

var File_google_cloud_aiplatform_v1_match_service_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_garden_service_proto

var File_google_cloud_aiplatform_v1_model_garden_service_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_openapi_proto

var File_google_cloud_aiplatform_v1_openapi_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_publisher_model_proto

var File_google_cloud_aiplatform_v1_publisher_model_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_schedule_proto

var File_google_cloud_aiplatform_v1_schedule_proto protoreflect.FileDescriptor

File_google_cloud_aiplatform_v1_schedule_service_proto

var File_google_cloud_aiplatform_v1_schedule_service_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_tool_proto

var File_google_cloud_aiplatform_v1_tool_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 RegisterDeploymentResourcePoolServiceServer

func RegisterDeploymentResourcePoolServiceServer(s *grpc.Server, srv DeploymentResourcePoolServiceServer)

func RegisterEndpointServiceServer

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

func RegisterFeatureOnlineStoreAdminServiceServer

func RegisterFeatureOnlineStoreAdminServiceServer(s *grpc.Server, srv FeatureOnlineStoreAdminServiceServer)

func RegisterFeatureOnlineStoreServiceServer

func RegisterFeatureOnlineStoreServiceServer(s *grpc.Server, srv FeatureOnlineStoreServiceServer)

func RegisterFeatureRegistryServiceServer

func RegisterFeatureRegistryServiceServer(s *grpc.Server, srv FeatureRegistryServiceServer)

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 RegisterLlmUtilityServiceServer

func RegisterLlmUtilityServiceServer(s *grpc.Server, srv LlmUtilityServiceServer)

func RegisterMatchServiceServer

func RegisterMatchServiceServer(s *grpc.Server, srv MatchServiceServer)

func RegisterMetadataServiceServer

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

func RegisterMigrationServiceServer

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

func RegisterModelGardenServiceServer

func RegisterModelGardenServiceServer(s *grpc.Server, srv ModelGardenServiceServer)

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 RegisterScheduleServiceServer

func RegisterScheduleServiceServer(s *grpc.Server, srv ScheduleServiceServer)

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_A100_80GB, 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 A100 80GB GPU.
	AcceleratorType_NVIDIA_A100_80GB AcceleratorType = 9
	// 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) Enum

func (x AcceleratorType) Enum() *AcceleratorType

func (AcceleratorType) EnumDescriptor

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

Deprecated: Use AcceleratorType.Descriptor instead.

func (AcceleratorType) Number

func (AcceleratorType) String

func (x AcceleratorType) String() string

func (AcceleratorType) Type

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 (*AddContextArtifactsAndExecutionsRequest) GetExecutions

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

func (*AddContextArtifactsAndExecutionsRequest) ProtoMessage

func (*AddContextArtifactsAndExecutionsRequest) ProtoReflect

func (*AddContextArtifactsAndExecutionsRequest) Reset

func (*AddContextArtifactsAndExecutionsRequest) 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) ProtoReflect

func (*AddContextArtifactsAndExecutionsResponse) Reset

func (*AddContextArtifactsAndExecutionsResponse) 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 (*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 (*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 (*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 (*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 (*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) 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 (Artifact_State) String

func (x Artifact_State) String() string

func (Artifact_State) Type

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 (*BatchCreateFeaturesOperationMetadata) ProtoMessage

func (*BatchCreateFeaturesOperationMetadata) ProtoMessage()

func (*BatchCreateFeaturesOperationMetadata) ProtoReflect

func (*BatchCreateFeaturesOperationMetadata) Reset

func (*BatchCreateFeaturesOperationMetadata) 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 (*BatchCreateFeaturesRequest) ProtoMessage

func (*BatchCreateFeaturesRequest) ProtoMessage()

func (*BatchCreateFeaturesRequest) ProtoReflect

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 (*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 (*BatchCreateTensorboardRunsRequest) GetRequests

func (*BatchCreateTensorboardRunsRequest) ProtoMessage

func (*BatchCreateTensorboardRunsRequest) ProtoMessage()

func (*BatchCreateTensorboardRunsRequest) ProtoReflect

func (*BatchCreateTensorboardRunsRequest) Reset

func (*BatchCreateTensorboardRunsRequest) 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 (*BatchCreateTensorboardRunsResponse) Reset

func (*BatchCreateTensorboardRunsResponse) 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 (*BatchCreateTensorboardTimeSeriesRequest) GetRequests

func (*BatchCreateTensorboardTimeSeriesRequest) ProtoMessage

func (*BatchCreateTensorboardTimeSeriesRequest) ProtoReflect

func (*BatchCreateTensorboardTimeSeriesRequest) Reset

func (*BatchCreateTensorboardTimeSeriesRequest) 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) ProtoReflect

func (*BatchCreateTensorboardTimeSeriesResponse) Reset

func (*BatchCreateTensorboardTimeSeriesResponse) 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 (*BatchImportEvaluatedAnnotationsRequest) ProtoMessage

func (*BatchImportEvaluatedAnnotationsRequest) ProtoReflect

func (*BatchImportEvaluatedAnnotationsRequest) Reset

func (*BatchImportEvaluatedAnnotationsRequest) 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) ProtoReflect

func (*BatchImportEvaluatedAnnotationsResponse) Reset

func (*BatchImportEvaluatedAnnotationsResponse) 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 (*BatchImportModelEvaluationSlicesRequest) ProtoMessage

func (*BatchImportModelEvaluationSlicesRequest) ProtoReflect

func (*BatchImportModelEvaluationSlicesRequest) Reset

func (*BatchImportModelEvaluationSlicesRequest) 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) ProtoReflect

func (*BatchImportModelEvaluationSlicesResponse) Reset

func (*BatchImportModelEvaluationSlicesResponse) 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 (*BatchMigrateResourcesOperationMetadata) GetPartialResults

func (*BatchMigrateResourcesOperationMetadata) ProtoMessage

func (*BatchMigrateResourcesOperationMetadata) ProtoReflect

func (*BatchMigrateResourcesOperationMetadata) Reset

func (*BatchMigrateResourcesOperationMetadata) 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

Deprecated: Use BatchMigrateResourcesOperationMetadata_PartialResult.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetError

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetModel

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetRequest

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetResult

func (m *BatchMigrateResourcesOperationMetadata_PartialResult) GetResult() isBatchMigrateResourcesOperationMetadata_PartialResult_Result

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoMessage

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoReflect

func (*BatchMigrateResourcesOperationMetadata_PartialResult) Reset

func (*BatchMigrateResourcesOperationMetadata_PartialResult) 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 (*BatchMigrateResourcesRequest) Reset

func (x *BatchMigrateResourcesRequest) Reset()

func (*BatchMigrateResourcesRequest) 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 (*BatchMigrateResourcesResponse) Reset

func (x *BatchMigrateResourcesResponse) Reset()

func (*BatchMigrateResourcesResponse) 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 (*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 (*BatchPredictionJob) GetOutputInfo

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 (*BatchPredictionJob_InputConfig) Reset

func (x *BatchPredictionJob_InputConfig) Reset()

func (*BatchPredictionJob_InputConfig) 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 (*BatchPredictionJob_InstanceConfig) Reset

func (*BatchPredictionJob_InstanceConfig) 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 (*BatchPredictionJob_OutputConfig) Reset

func (*BatchPredictionJob_OutputConfig) 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 (*BatchPredictionJob_OutputInfo) Reset

func (x *BatchPredictionJob_OutputInfo) Reset()

func (*BatchPredictionJob_OutputInfo) 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 (*BatchReadFeatureValuesOperationMetadata) ProtoMessage

func (*BatchReadFeatureValuesOperationMetadata) ProtoReflect

func (*BatchReadFeatureValuesOperationMetadata) Reset

func (*BatchReadFeatureValuesOperationMetadata) 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 (*BatchReadFeatureValuesRequest) GetEntityTypeSpecs

func (*BatchReadFeatureValuesRequest) GetFeaturestore

func (x *BatchReadFeatureValuesRequest) GetFeaturestore() string

func (*BatchReadFeatureValuesRequest) GetPassThroughFields

func (*BatchReadFeatureValuesRequest) GetReadOption

func (m *BatchReadFeatureValuesRequest) GetReadOption() isBatchReadFeatureValuesRequest_ReadOption

func (*BatchReadFeatureValuesRequest) GetStartTime

func (*BatchReadFeatureValuesRequest) ProtoMessage

func (*BatchReadFeatureValuesRequest) ProtoMessage()

func (*BatchReadFeatureValuesRequest) ProtoReflect

func (*BatchReadFeatureValuesRequest) Reset

func (x *BatchReadFeatureValuesRequest) Reset()

func (*BatchReadFeatureValuesRequest) 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

Deprecated: Use BatchReadFeatureValuesRequest_EntityTypeSpec.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetEntityTypeId

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetFeatureSelector

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetSettings

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoMessage

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoReflect

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Reset

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) 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

Deprecated: Use BatchReadFeatureValuesRequest_PassThroughField.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesRequest_PassThroughField) GetFieldName

func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoMessage

func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoReflect

func (*BatchReadFeatureValuesRequest_PassThroughField) Reset

func (*BatchReadFeatureValuesRequest_PassThroughField) 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 (*BatchReadFeatureValuesResponse) Reset

func (x *BatchReadFeatureValuesResponse) Reset()

func (*BatchReadFeatureValuesResponse) 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 (*BatchReadTensorboardTimeSeriesDataRequest) GetTimeSeries

func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoMessage

func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoReflect

func (*BatchReadTensorboardTimeSeriesDataRequest) Reset

func (*BatchReadTensorboardTimeSeriesDataRequest) 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

Deprecated: Use BatchReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.

func (*BatchReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData

func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoMessage

func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoReflect

func (*BatchReadTensorboardTimeSeriesDataResponse) Reset

func (*BatchReadTensorboardTimeSeriesDataResponse) 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

Blob

type Blob struct {

	// Required. The IANA standard MIME type of the source data.
	MimeType string `protobuf:"bytes,1,opt,name=mime_type,json=mimeType,proto3" json:"mime_type,omitempty"`
	// Required. Raw bytes for media formats.
	Data []byte `protobuf:"bytes,2,opt,name=data,proto3" json:"data,omitempty"`
	// contains filtered or unexported fields
}

Raw media bytes.

Text should not be sent as raw bytes, use the 'text' field.

func (*Blob) Descriptor

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

Deprecated: Use Blob.ProtoReflect.Descriptor instead.

func (*Blob) GetData

func (x *Blob) GetData() []byte

func (*Blob) GetMimeType

func (x *Blob) GetMimeType() string

func (*Blob) ProtoMessage

func (*Blob) ProtoMessage()

func (*Blob) ProtoReflect

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

func (*Blob) Reset

func (x *Blob) Reset()

func (*Blob) String

func (x *Blob) 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 (*CancelBatchPredictionJobRequest) ProtoMessage

func (*CancelBatchPredictionJobRequest) ProtoMessage()

func (*CancelBatchPredictionJobRequest) ProtoReflect

func (*CancelBatchPredictionJobRequest) Reset

func (*CancelBatchPredictionJobRequest) 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 (*CancelDataLabelingJobRequest) Reset

func (x *CancelDataLabelingJobRequest) Reset()

func (*CancelDataLabelingJobRequest) 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 (*CancelHyperparameterTuningJobRequest) ProtoMessage

func (*CancelHyperparameterTuningJobRequest) ProtoMessage()

func (*CancelHyperparameterTuningJobRequest) ProtoReflect

func (*CancelHyperparameterTuningJobRequest) Reset

func (*CancelHyperparameterTuningJobRequest) 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 (*CancelTrainingPipelineRequest) ProtoMessage

func (*CancelTrainingPipelineRequest) ProtoMessage()

func (*CancelTrainingPipelineRequest) ProtoReflect

func (*CancelTrainingPipelineRequest) Reset

func (x *CancelTrainingPipelineRequest) Reset()

func (*CancelTrainingPipelineRequest) String

Candidate

type Candidate struct {
	Index int32 `protobuf:"varint,1,opt,name=index,proto3" json:"index,omitempty"`

	Content *Content `protobuf:"bytes,2,opt,name=content,proto3" json:"content,omitempty"`

	FinishReason Candidate_FinishReason "" /* 153 byte string literal not displayed */

	SafetyRatings []*SafetyRating `protobuf:"bytes,4,rep,name=safety_ratings,json=safetyRatings,proto3" json:"safety_ratings,omitempty"`

	FinishMessage *string `protobuf:"bytes,5,opt,name=finish_message,json=finishMessage,proto3,oneof" json:"finish_message,omitempty"`

	CitationMetadata *CitationMetadata `protobuf:"bytes,6,opt,name=citation_metadata,json=citationMetadata,proto3" json:"citation_metadata,omitempty"`

}

A response candidate generated from the model.

func (*Candidate) Descriptor

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

Deprecated: Use Candidate.ProtoReflect.Descriptor instead.

func (*Candidate) GetCitationMetadata

func (x *Candidate) GetCitationMetadata() *CitationMetadata

func (*Candidate) GetContent

func (x *Candidate) GetContent() *Content

func (*Candidate) GetFinishMessage

func (x *Candidate) GetFinishMessage() string

func (*Candidate) GetFinishReason

func (x *Candidate) GetFinishReason() Candidate_FinishReason

func (*Candidate) GetIndex

func (x *Candidate) GetIndex() int32

func (*Candidate) GetSafetyRatings

func (x *Candidate) GetSafetyRatings() []*SafetyRating

func (*Candidate) ProtoMessage

func (*Candidate) ProtoMessage()

func (*Candidate) ProtoReflect

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

func (*Candidate) Reset

func (x *Candidate) Reset()

func (*Candidate) String

func (x *Candidate) String() string

Candidate_FinishReason

type Candidate_FinishReason int32

The reason why the model stopped generating tokens. If empty, the model has not stopped generating the tokens.

Candidate_FINISH_REASON_UNSPECIFIED, Candidate_STOP, Candidate_MAX_TOKENS, Candidate_SAFETY, Candidate_RECITATION, Candidate_OTHER

const (
	// The finish reason is unspecified.
	Candidate_FINISH_REASON_UNSPECIFIED Candidate_FinishReason = 0
	// Natural stop point of the model or provided stop sequence.
	Candidate_STOP Candidate_FinishReason = 1
	// The maximum number of tokens as specified in the request was reached.
	Candidate_MAX_TOKENS Candidate_FinishReason = 2
	// The token generation was stopped as the response was flagged for safety
	// reasons. NOTE: When streaming the Candidate.content will be empty if
	// content filters blocked the output.
	Candidate_SAFETY Candidate_FinishReason = 3
	// The token generation was stopped as the response was flagged for
	// unauthorized citations.
	Candidate_RECITATION Candidate_FinishReason = 4
	// All other reasons that stopped the token generation
	Candidate_OTHER Candidate_FinishReason = 5
)

func (Candidate_FinishReason) Descriptor

func (Candidate_FinishReason) Enum

func (Candidate_FinishReason) EnumDescriptor

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

Deprecated: Use Candidate_FinishReason.Descriptor instead.

func (Candidate_FinishReason) Number

func (Candidate_FinishReason) String

func (x Candidate_FinishReason) String() string

func (Candidate_FinishReason) Type

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 (*CheckTrialEarlyStoppingStateMetatdata) GetStudy

func (*CheckTrialEarlyStoppingStateMetatdata) GetTrial

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage()

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoReflect

func (*CheckTrialEarlyStoppingStateMetatdata) Reset

func (*CheckTrialEarlyStoppingStateMetatdata) 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 (*CheckTrialEarlyStoppingStateRequest) Reset

func (*CheckTrialEarlyStoppingStateRequest) 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 (*CheckTrialEarlyStoppingStateResponse) Reset

func (*CheckTrialEarlyStoppingStateResponse) String

Citation

type Citation struct {

	// Output only. Start index into the content.
	StartIndex int32 `protobuf:"varint,1,opt,name=start_index,json=startIndex,proto3" json:"start_index,omitempty"`
	// Output only. End index into the content.
	EndIndex int32 `protobuf:"varint,2,opt,name=end_index,json=endIndex,proto3" json:"end_index,omitempty"`
	// Output only. Url reference of the attribution.
	Uri string `protobuf:"bytes,3,opt,name=uri,proto3" json:"uri,omitempty"`
	// Output only. Title of the attribution.
	Title string `protobuf:"bytes,4,opt,name=title,proto3" json:"title,omitempty"`
	// Output only. License of the attribution.
	License string `protobuf:"bytes,5,opt,name=license,proto3" json:"license,omitempty"`
	// Output only. Publication date of the attribution.
	PublicationDate *date.Date `protobuf:"bytes,6,opt,name=publication_date,json=publicationDate,proto3" json:"publication_date,omitempty"`
	// contains filtered or unexported fields
}

Source attributions for content.

func (*Citation) Descriptor

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

Deprecated: Use Citation.ProtoReflect.Descriptor instead.

func (*Citation) GetEndIndex

func (x *Citation) GetEndIndex() int32

func (*Citation) GetLicense

func (x *Citation) GetLicense() string

func (*Citation) GetPublicationDate

func (x *Citation) GetPublicationDate() *date.Date

func (*Citation) GetStartIndex

func (x *Citation) GetStartIndex() int32

func (*Citation) GetTitle

func (x *Citation) GetTitle() string

func (*Citation) GetUri

func (x *Citation) GetUri() string

func (*Citation) ProtoMessage

func (*Citation) ProtoMessage()

func (*Citation) ProtoReflect

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

func (*Citation) Reset

func (x *Citation) Reset()

func (*Citation) String

func (x *Citation) String() string

CitationMetadata

type CitationMetadata struct {

	// Output only. List of citations.
	Citations []*Citation `protobuf:"bytes,1,rep,name=citations,proto3" json:"citations,omitempty"`
	// contains filtered or unexported fields
}

A collection of source attributions for a piece of content.

func (*CitationMetadata) Descriptor

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

Deprecated: Use CitationMetadata.ProtoReflect.Descriptor instead.

func (*CitationMetadata) GetCitations

func (x *CitationMetadata) GetCitations() []*Citation

func (*CitationMetadata) ProtoMessage

func (*CitationMetadata) ProtoMessage()

func (*CitationMetadata) ProtoReflect

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

func (*CitationMetadata) Reset

func (x *CitationMetadata) Reset()

func (*CitationMetadata) String

func (x *CitationMetadata) 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

ComputeTokensRequest

type ComputeTokensRequest struct {

	// Required. The name of the Endpoint requested to get lists of tokens and
	// token ids.
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The instances that are the input to token computing API call.
	// Schema is identical to the prediction schema of the text model, even for
	// the non-text models, like chat models, or Codey models.
	Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// contains filtered or unexported fields
}

Request message for ComputeTokens RPC call.

func (*ComputeTokensRequest) Descriptor

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

Deprecated: Use ComputeTokensRequest.ProtoReflect.Descriptor instead.

func (*ComputeTokensRequest) GetEndpoint

func (x *ComputeTokensRequest) GetEndpoint() string

func (*ComputeTokensRequest) GetInstances

func (x *ComputeTokensRequest) GetInstances() []*structpb.Value

func (*ComputeTokensRequest) ProtoMessage

func (*ComputeTokensRequest) ProtoMessage()

func (*ComputeTokensRequest) ProtoReflect

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

func (*ComputeTokensRequest) Reset

func (x *ComputeTokensRequest) Reset()

func (*ComputeTokensRequest) String

func (x *ComputeTokensRequest) String() string

ComputeTokensResponse

type ComputeTokensResponse struct {

	// Lists of tokens info from the input. A ComputeTokensRequest could have
	// multiple instances with a prompt in each instance. We also need to return
	// lists of tokens info for the request with multiple instances.
	TokensInfo []*TokensInfo `protobuf:"bytes,1,rep,name=tokens_info,json=tokensInfo,proto3" json:"tokens_info,omitempty"`
	// contains filtered or unexported fields
}

Response message for ComputeTokens RPC call.

func (*ComputeTokensResponse) Descriptor

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

Deprecated: Use ComputeTokensResponse.ProtoReflect.Descriptor instead.

func (*ComputeTokensResponse) GetTokensInfo

func (x *ComputeTokensResponse) GetTokensInfo() []*TokensInfo

func (*ComputeTokensResponse) ProtoMessage

func (*ComputeTokensResponse) ProtoMessage()

func (*ComputeTokensResponse) ProtoReflect

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

func (*ComputeTokensResponse) Reset

func (x *ComputeTokensResponse) Reset()

func (*ComputeTokensResponse) String

func (x *ComputeTokensResponse) 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 (*ContainerRegistryDestination) Reset

func (x *ContainerRegistryDestination) Reset()

func (*ContainerRegistryDestination) 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

Content

type Content struct {

	// Optional. The producer of the content. Must be either 'user' or 'model'.
	//
	// Useful to set for multi-turn conversations, otherwise can be left blank
	// or unset.
	Role string `protobuf:"bytes,1,opt,name=role,proto3" json:"role,omitempty"`
	// Required. Ordered `Parts` that constitute a single message. Parts may have
	// different IANA MIME types.
	Parts []*Part `protobuf:"bytes,2,rep,name=parts,proto3" json:"parts,omitempty"`
	// contains filtered or unexported fields
}

The base structured datatype containing multi-part content of a message.

A Content includes a role field designating the producer of the Content and a parts field containing multi-part data that contains the content of the message turn.

func (*Content) Descriptor

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

Deprecated: Use Content.ProtoReflect.Descriptor instead.

func (*Content) GetParts

func (x *Content) GetParts() []*Part

func (*Content) GetRole

func (x *Content) GetRole() string

func (*Content) ProtoMessage

func (*Content) ProtoMessage()

func (*Content) ProtoReflect

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

func (*Content) Reset

func (x *Content) Reset()

func (*Content) String

func (x *Content) 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 (*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

CountTokensRequest

type CountTokensRequest struct {

	// Required. The name of the Endpoint requested to perform token counting.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The name of the publisher model requested to serve the
	// prediction. Format:
	// `projects/{project}/locations/{location}/publishers/*/models/*`
	Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
	// Required. The instances that are the input to token counting call.
	// Schema is identical to the prediction schema of the underlying model.
	Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// Required. Input content.
	Contents []*Content `protobuf:"bytes,4,rep,name=contents,proto3" json:"contents,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.CountTokens][].

func (*CountTokensRequest) Descriptor

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

Deprecated: Use CountTokensRequest.ProtoReflect.Descriptor instead.

func (*CountTokensRequest) GetContents

func (x *CountTokensRequest) GetContents() []*Content

func (*CountTokensRequest) GetEndpoint

func (x *CountTokensRequest) GetEndpoint() string

func (*CountTokensRequest) GetInstances

func (x *CountTokensRequest) GetInstances() []*structpb.Value

func (*CountTokensRequest) GetModel

func (x *CountTokensRequest) GetModel() string

func (*CountTokensRequest) ProtoMessage

func (*CountTokensRequest) ProtoMessage()

func (*CountTokensRequest) ProtoReflect

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

func (*CountTokensRequest) Reset

func (x *CountTokensRequest) Reset()

func (*CountTokensRequest) String

func (x *CountTokensRequest) String() string

CountTokensResponse

type CountTokensResponse struct {
	TotalTokens int32 `protobuf:"varint,1,opt,name=total_tokens,json=totalTokens,proto3" json:"total_tokens,omitempty"`

	TotalBillableCharacters int32 "" /* 133 byte string literal not displayed */

}

Response message for [PredictionService.CountTokens][].

func (*CountTokensResponse) Descriptor

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

Deprecated: Use CountTokensResponse.ProtoReflect.Descriptor instead.

func (*CountTokensResponse) GetTotalBillableCharacters

func (x *CountTokensResponse) GetTotalBillableCharacters() int32

func (*CountTokensResponse) GetTotalTokens

func (x *CountTokensResponse) GetTotalTokens() int32

func (*CountTokensResponse) ProtoMessage

func (*CountTokensResponse) ProtoMessage()

func (*CountTokensResponse) ProtoReflect

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

func (*CountTokensResponse) Reset

func (x *CountTokensResponse) Reset()

func (*CountTokensResponse) String

func (x *CountTokensResponse) 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 (*CreateBatchPredictionJobRequest) Reset

func (*CreateBatchPredictionJobRequest) 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 (*CreateDataLabelingJobRequest) Reset

func (x *CreateDataLabelingJobRequest) Reset()

func (*CreateDataLabelingJobRequest) 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 (*CreateDatasetOperationMetadata) ProtoMessage

func (*CreateDatasetOperationMetadata) ProtoMessage()

func (*CreateDatasetOperationMetadata) ProtoReflect

func (*CreateDatasetOperationMetadata) Reset

func (x *CreateDatasetOperationMetadata) Reset()

func (*CreateDatasetOperationMetadata) 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

CreateDatasetVersionOperationMetadata

type CreateDatasetVersionOperationMetadata 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.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion].

func (*CreateDatasetVersionOperationMetadata) Descriptor

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

Deprecated: Use CreateDatasetVersionOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateDatasetVersionOperationMetadata) GetGenericMetadata

func (*CreateDatasetVersionOperationMetadata) ProtoMessage

func (*CreateDatasetVersionOperationMetadata) ProtoMessage()

func (*CreateDatasetVersionOperationMetadata) ProtoReflect

func (*CreateDatasetVersionOperationMetadata) Reset

func (*CreateDatasetVersionOperationMetadata) String

CreateDatasetVersionRequest

type CreateDatasetVersionRequest struct {

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The version to be created. The same CMEK policies with the
	// original Dataset will be applied the dataset version. So here we don't need
	// to specify the EncryptionSpecType here.
	DatasetVersion *DatasetVersion `protobuf:"bytes,2,opt,name=dataset_version,json=datasetVersion,proto3" json:"dataset_version,omitempty"`
	// contains filtered or unexported fields
}

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

func (*CreateDatasetVersionRequest) Descriptor

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

Deprecated: Use CreateDatasetVersionRequest.ProtoReflect.Descriptor instead.

func (*CreateDatasetVersionRequest) GetDatasetVersion

func (x *CreateDatasetVersionRequest) GetDatasetVersion() *DatasetVersion

func (*CreateDatasetVersionRequest) GetParent

func (x *CreateDatasetVersionRequest) GetParent() string

func (*CreateDatasetVersionRequest) ProtoMessage

func (*CreateDatasetVersionRequest) ProtoMessage()

func (*CreateDatasetVersionRequest) ProtoReflect

func (*CreateDatasetVersionRequest) Reset

func (x *CreateDatasetVersionRequest) Reset()

func (*CreateDatasetVersionRequest) String

func (x *CreateDatasetVersionRequest) String() string

CreateDeploymentResourcePoolOperationMetadata

type CreateDeploymentResourcePoolOperationMetadata 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 CreateDeploymentResourcePool method.

func (*CreateDeploymentResourcePoolOperationMetadata) Descriptor

Deprecated: Use CreateDeploymentResourcePoolOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateDeploymentResourcePoolOperationMetadata) GetGenericMetadata

func (*CreateDeploymentResourcePoolOperationMetadata) ProtoMessage

func (*CreateDeploymentResourcePoolOperationMetadata) ProtoReflect

func (*CreateDeploymentResourcePoolOperationMetadata) Reset

func (*CreateDeploymentResourcePoolOperationMetadata) String

CreateDeploymentResourcePoolRequest

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

	DeploymentResourcePool *DeploymentResourcePool "" /* 129 byte string literal not displayed */

	DeploymentResourcePoolId string "" /* 137 byte string literal not displayed */

}

Request message for CreateDeploymentResourcePool method.

func (*CreateDeploymentResourcePoolRequest) Descriptor

func (*CreateDeploymentResourcePoolRequest) Descriptor() ([]