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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",
6: "TPU_V2",
7: "TPU_V3",
}
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,
"TPU_V2": 6,
"TPU_V3": 7,
}
)
Enum value maps for AcceleratorType.
Artifact_State_name, Artifact_State_value
var (
Artifact_State_name = map[int32]string{
0: "STATE_UNSPECIFIED",
1: "PENDING",
2: "LIVE",
}
Artifact_State_value = map[string]int32{
"STATE_UNSPECIFIED": 0,
"PENDING": 1,
"LIVE": 2,
}
)
Enum value maps for Artifact_State.
SampleConfig_SampleStrategy_name, SampleConfig_SampleStrategy_value
var (
SampleConfig_SampleStrategy_name = map[int32]string{
0: "SAMPLE_STRATEGY_UNSPECIFIED",
1: "UNCERTAINTY",
}
SampleConfig_SampleStrategy_value = map[string]int32{
"SAMPLE_STRATEGY_UNSPECIFIED": 0,
"UNCERTAINTY": 1,
}
)
Enum value maps for SampleConfig_SampleStrategy.
Event_Type_name, Event_Type_value
var (
Event_Type_name = map[int32]string{
0: "TYPE_UNSPECIFIED",
1: "INPUT",
2: "OUTPUT",
}
Event_Type_value = map[string]int32{
"TYPE_UNSPECIFIED": 0,
"INPUT": 1,
"OUTPUT": 2,
}
)
Enum value maps for Event_Type.
Execution_State_name, Execution_State_value
var (
Execution_State_name = map[int32]string{
0: "STATE_UNSPECIFIED",
1: "NEW",
2: "RUNNING",
3: "COMPLETE",
4: "FAILED",
5: "CACHED",
6: "CANCELLED",
}
Execution_State_value = map[string]int32{
"STATE_UNSPECIFIED": 0,
"NEW": 1,
"RUNNING": 2,
"COMPLETE": 3,
"FAILED": 4,
"CACHED": 5,
"CANCELLED": 6,
}
)
Enum value maps for Execution_State.
ExamplesOverride_DataFormat_name, ExamplesOverride_DataFormat_value
var (
ExamplesOverride_DataFormat_name = map[int32]string{
0: "DATA_FORMAT_UNSPECIFIED",
1: "INSTANCES",
2: "EMBEDDINGS",
}
ExamplesOverride_DataFormat_value = map[string]int32{
"DATA_FORMAT_UNSPECIFIED": 0,
"INSTANCES": 1,
"EMBEDDINGS": 2,
}
)
Enum value maps for ExamplesOverride_DataFormat.
ExplanationMetadata_InputMetadata_Encoding_name, ExplanationMetadata_InputMetadata_Encoding_value
var (
ExplanationMetadata_InputMetadata_Encoding_name = map[int32]string{
0: "ENCODING_UNSPECIFIED",
1: "IDENTITY",
2: "BAG_OF_FEATURES",
3: "BAG_OF_FEATURES_SPARSE",
4: "INDICATOR",
5: "COMBINED_EMBEDDING",
6: "CONCAT_EMBEDDING",
}
ExplanationMetadata_InputMetadata_Encoding_value = map[string]int32{
"ENCODING_UNSPECIFIED": 0,
"IDENTITY": 1,
"BAG_OF_FEATURES": 2,
"BAG_OF_FEATURES_SPARSE": 3,
"INDICATOR": 4,
"COMBINED_EMBEDDING": 5,
"CONCAT_EMBEDDING": 6,
}
)
Enum value maps for ExplanationMetadata_InputMetadata_Encoding.
ExplanationMetadata_InputMetadata_Visualization_Type_name, ExplanationMetadata_InputMetadata_Visualization_Type_value
var (
ExplanationMetadata_InputMetadata_Visualization_Type_name = map[int32]string{
0: "TYPE_UNSPECIFIED",
1: "PIXELS",
2: "OUTLINES",
}
ExplanationMetadata_InputMetadata_Visualization_Type_value = map[string]int32{
"TYPE_UNSPECIFIED": 0,
"PIXELS": 1,
"OUTLINES": 2,
}
)
Enum value maps for ExplanationMetadata_InputMetadata_Visualization_Type.
ExplanationMetadata_InputMetadata_Visualization_Polarity_name, ExplanationMetadata_InputMetadata_Visualization_Polarity_value
var (
ExplanationMetadata_InputMetadata_Visualization_Polarity_name = map[int32]string{
0: "POLARITY_UNSPECIFIED",
1: "POSITIVE",
2: "NEGATIVE",
3: "BOTH",
}
ExplanationMetadata_InputMetadata_Visualization_Polarity_value = map[string]int32{
"POLARITY_UNSPECIFIED": 0,
"POSITIVE": 1,
"NEGATIVE": 2,
"BOTH": 3,
}
)
Enum value maps for ExplanationMetadata_InputMetadata_Visualization_Polarity.
ExplanationMetadata_InputMetadata_Visualization_ColorMap_name, ExplanationMetadata_InputMetadata_Visualization_ColorMap_value
var (
ExplanationMetadata_InputMetadata_Visualization_ColorMap_name = map[int32]string{
0: "COLOR_MAP_UNSPECIFIED",
1: "PINK_GREEN",
2: "VIRIDIS",
3: "RED",
4: "GREEN",
6: "RED_GREEN",
5: "PINK_WHITE_GREEN",
}
ExplanationMetadata_InputMetadata_Visualization_ColorMap_value = map[string]int32{
"COLOR_MAP_UNSPECIFIED": 0,
"PINK_GREEN": 1,
"VIRIDIS": 2,
"RED": 3,
"GREEN": 4,
"RED_GREEN": 6,
"PINK_WHITE_GREEN": 5,
}
)
Enum value maps for ExplanationMetadata_InputMetadata_Visualization_ColorMap.
ExplanationMetadata_InputMetadata_Visualization_OverlayType_name, ExplanationMetadata_InputMetadata_Visualization_OverlayType_value
var (
ExplanationMetadata_InputMetadata_Visualization_OverlayType_name = map[int32]string{
0: "OVERLAY_TYPE_UNSPECIFIED",
1: "NONE",
2: "ORIGINAL",
3: "GRAYSCALE",
4: "MASK_BLACK",
}
ExplanationMetadata_InputMetadata_Visualization_OverlayType_value = map[string]int32{
"OVERLAY_TYPE_UNSPECIFIED": 0,
"NONE": 1,
"ORIGINAL": 2,
"GRAYSCALE": 3,
"MASK_BLACK": 4,
}
)
Enum value maps for ExplanationMetadata_InputMetadata_Visualization_OverlayType.
Feature_ValueType_name, Feature_ValueType_value
var (
Feature_ValueType_name = map[int32]string{
0: "VALUE_TYPE_UNSPECIFIED",
1: "BOOL",
2: "BOOL_ARRAY",
3: "DOUBLE",
4: "DOUBLE_ARRAY",
9: "INT64",
10: "INT64_ARRAY",
11: "STRING",
12: "STRING_ARRAY",
13: "BYTES",
}
Feature_ValueType_value = map[string]int32{
"VALUE_TYPE_UNSPECIFIED": 0,
"BOOL": 1,
"BOOL_ARRAY": 2,
"DOUBLE": 3,
"DOUBLE_ARRAY": 4,
"INT64": 9,
"INT64_ARRAY": 10,
"STRING": 11,
"STRING_ARRAY": 12,
"BYTES": 13,
}
)
Enum value maps for Feature_ValueType.
Feature_MonitoringStatsAnomaly_Objective_name, Feature_MonitoringStatsAnomaly_Objective_value
var (
Feature_MonitoringStatsAnomaly_Objective_name = map[int32]string{
0: "OBJECTIVE_UNSPECIFIED",
1: "IMPORT_FEATURE_ANALYSIS",
2: "SNAPSHOT_ANALYSIS",
}
Feature_MonitoringStatsAnomaly_Objective_value = map[string]int32{
"OBJECTIVE_UNSPECIFIED": 0,
"IMPORT_FEATURE_ANALYSIS": 1,
"SNAPSHOT_ANALYSIS": 2,
}
)
Enum value maps for Feature_MonitoringStatsAnomaly_Objective.
Featurestore_State_name, Featurestore_State_value
var (
Featurestore_State_name = map[int32]string{
0: "STATE_UNSPECIFIED",
1: "STABLE",
2: "UPDATING",
}
Featurestore_State_value = map[string]int32{
"STATE_UNSPECIFIED": 0,
"STABLE": 1,
"UPDATING": 2,
}
)
Enum value maps for Featurestore_State.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_name, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_value
var (
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_name = map[int32]string{
0: "STATE_UNSPECIFIED",
1: "DEFAULT",
2: "ENABLED",
3: "DISABLED",
}
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_value = map[string]int32{
"STATE_UNSPECIFIED": 0,
"DEFAULT": 1,
"ENABLED": 2,
"DISABLED": 3,
}
)
Enum value maps for FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_name, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_value
var (
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_name = map[int32]string{
0: "BASELINE_UNSPECIFIED",
1: "LATEST_STATS",
2: "MOST_RECENT_SNAPSHOT_STATS",
3: "PREVIOUS_IMPORT_FEATURES_STATS",
}
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_value = map[string]int32{
"BASELINE_UNSPECIFIED": 0,
"LATEST_STATS": 1,
"MOST_RECENT_SNAPSHOT_STATS": 2,
"PREVIOUS_IMPORT_FEATURES_STATS": 3,
}
)
Enum value maps for FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline.
Index_IndexUpdateMethod_name, Index_IndexUpdateMethod_value
var (
Index_IndexUpdateMethod_name = map[int32]string{
0: "INDEX_UPDATE_METHOD_UNSPECIFIED",
1: "BATCH_UPDATE",
2: "STREAM_UPDATE",
}
Index_IndexUpdateMethod_value = map[string]int32{
"INDEX_UPDATE_METHOD_UNSPECIFIED": 0,
"BATCH_UPDATE": 1,
"STREAM_UPDATE": 2,
}
)
Enum value maps for Index_IndexUpdateMethod.
NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_name, NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_value
var (
NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_name = map[int32]string{
0: "ERROR_TYPE_UNSPECIFIED",
1: "EMPTY_LINE",
2: "INVALID_JSON_SYNTAX",
3: "INVALID_CSV_SYNTAX",
4: "INVALID_AVRO_SYNTAX",
5: "INVALID_EMBEDDING_ID",
6: "EMBEDDING_SIZE_MISMATCH",
7: "NAMESPACE_MISSING",
}
NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_value = map[string]int32{
"ERROR_TYPE_UNSPECIFIED": 0,
"EMPTY_LINE": 1,
"INVALID_JSON_SYNTAX": 2,
"INVALID_CSV_SYNTAX": 3,
"INVALID_AVRO_SYNTAX": 4,
"INVALID_EMBEDDING_ID": 5,
"EMBEDDING_SIZE_MISMATCH": 6,
"NAMESPACE_MISSING": 7,
}
)
Enum value maps for NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType.
JobState_name, JobState_value
var (
JobState_name = map[int32]string{
0: "JOB_STATE_UNSPECIFIED",
1: "JOB_STATE_QUEUED",
2: "JOB_STATE_PENDING",
3: "JOB_STATE_RUNNING",
4: "JOB_STATE_SUCCEEDED",
5: "JOB_STATE_FAILED",
6: "JOB_STATE_CANCELLING",
7: "JOB_STATE_CANCELLED",
8: "JOB_STATE_PAUSED",
9: "JOB_STATE_EXPIRED",
10: "JOB_STATE_UPDATING",
}
JobState_value = map[string]int32{
"JOB_STATE_UNSPECIFIED": 0,
"JOB_STATE_QUEUED": 1,
"JOB_STATE_PENDING": 2,
"JOB_STATE_RUNNING": 3,
"JOB_STATE_SUCCEEDED": 4,
"JOB_STATE_FAILED": 5,
"JOB_STATE_CANCELLING": 6,
"JOB_STATE_CANCELLED": 7,
"JOB_STATE_PAUSED": 8,
"JOB_STATE_EXPIRED": 9,
"JOB_STATE_UPDATING": 10,
}
)
Enum value maps for JobState.
MetadataSchema_MetadataSchemaType_name, MetadataSchema_MetadataSchemaType_value
var (
MetadataSchema_MetadataSchemaType_name = map[int32]string{
0: "METADATA_SCHEMA_TYPE_UNSPECIFIED",
1: "ARTIFACT_TYPE",
2: "EXECUTION_TYPE",
3: "CONTEXT_TYPE",
}
MetadataSchema_MetadataSchemaType_value = map[string]int32{
"METADATA_SCHEMA_TYPE_UNSPECIFIED": 0,
"ARTIFACT_TYPE": 1,
"EXECUTION_TYPE": 2,
"CONTEXT_TYPE": 3,
}
)
Enum value maps for MetadataSchema_MetadataSchemaType.
Model_DeploymentResourcesType_name, Model_DeploymentResourcesType_value
var (
Model_DeploymentResourcesType_name = map[int32]string{
0: "DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED",
1: "DEDICATED_RESOURCES",
2: "AUTOMATIC_RESOURCES",
3: "SHARED_RESOURCES",
}
Model_DeploymentResourcesType_value = map[string]int32{
"DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED": 0,
"DEDICATED_RESOURCES": 1,
"AUTOMATIC_RESOURCES": 2,
"SHARED_RESOURCES": 3,
}
)
Enum value maps for Model_DeploymentResourcesType.
Model_ExportFormat_ExportableContent_name, Model_ExportFormat_ExportableContent_value
var (
Model_ExportFormat_ExportableContent_name = map[int32]string{
0: "EXPORTABLE_CONTENT_UNSPECIFIED",
1: "ARTIFACT",
2: "IMAGE",
}
Model_ExportFormat_ExportableContent_value = map[string]int32{
"EXPORTABLE_CONTENT_UNSPECIFIED": 0,
"ARTIFACT": 1,
"IMAGE": 2,
}
)
Enum value maps for Model_ExportFormat_ExportableContent.
ModelSourceInfo_ModelSourceType_name, ModelSourceInfo_ModelSourceType_value
var (
ModelSourceInfo_ModelSourceType_name = map[int32]string{
0: "MODEL_SOURCE_TYPE_UNSPECIFIED",
1: "AUTOML",
2: "CUSTOM",
3: "BQML",
}
ModelSourceInfo_ModelSourceType_value = map[string]int32{
"MODEL_SOURCE_TYPE_UNSPECIFIED": 0,
"AUTOML": 1,
"CUSTOM": 2,
"BQML": 3,
}
)
Enum value maps for ModelSourceInfo_ModelSourceType.
ModelDeploymentMonitoringObjectiveType_name, ModelDeploymentMonitoringObjectiveType_value
var (
ModelDeploymentMonitoringObjectiveType_name = map[int32]string{
0: "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED",
1: "RAW_FEATURE_SKEW",
2: "RAW_FEATURE_DRIFT",
3: "FEATURE_ATTRIBUTION_SKEW",
4: "FEATURE_ATTRIBUTION_DRIFT",
}
ModelDeploymentMonitoringObjectiveType_value = map[string]int32{
"MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED": 0,
"RAW_FEATURE_SKEW": 1,
"RAW_FEATURE_DRIFT": 2,
"FEATURE_ATTRIBUTION_SKEW": 3,
"FEATURE_ATTRIBUTION_DRIFT": 4,
}
)
Enum value maps for ModelDeploymentMonitoringObjectiveType.
ModelDeploymentMonitoringJob_MonitoringScheduleState_name, ModelDeploymentMonitoringJob_MonitoringScheduleState_value
var (
ModelDeploymentMonitoringJob_MonitoringScheduleState_name = map[int32]string{
0: "MONITORING_SCHEDULE_STATE_UNSPECIFIED",
1: "PENDING",
2: "OFFLINE",
3: "RUNNING",
}
ModelDeploymentMonitoringJob_MonitoringScheduleState_value = map[string]int32{
"MONITORING_SCHEDULE_STATE_UNSPECIFIED": 0,
"PENDING": 1,
"OFFLINE": 2,
"RUNNING": 3,
}
)
Enum value maps for ModelDeploymentMonitoringJob_MonitoringScheduleState.
ModelDeploymentMonitoringBigQueryTable_LogSource_name, ModelDeploymentMonitoringBigQueryTable_LogSource_value
var (
ModelDeploymentMonitoringBigQueryTable_LogSource_name = map[int32]string{
0: "LOG_SOURCE_UNSPECIFIED",
1: "TRAINING",
2: "SERVING",
}
ModelDeploymentMonitoringBigQueryTable_LogSource_value = map[string]int32{
"LOG_SOURCE_UNSPECIFIED": 0,
"TRAINING": 1,
"SERVING": 2,
}
)
Enum value maps for ModelDeploymentMonitoringBigQueryTable_LogSource.
ModelDeploymentMonitoringBigQueryTable_LogType_name, ModelDeploymentMonitoringBigQueryTable_LogType_value
var (
ModelDeploymentMonitoringBigQueryTable_LogType_name = map[int32]string{
0: "LOG_TYPE_UNSPECIFIED",
1: "PREDICT",
2: "EXPLAIN",
}
ModelDeploymentMonitoringBigQueryTable_LogType_value = map[string]int32{
"LOG_TYPE_UNSPECIFIED": 0,
"PREDICT": 1,
"EXPLAIN": 2,
}
)
Enum value maps for ModelDeploymentMonitoringBigQueryTable_LogType.
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat_name, ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat_value
var (
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat_name = map[int32]string{
0: "PREDICTION_FORMAT_UNSPECIFIED",
2: "JSONL",
3: "BIGQUERY",
}
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat_value = map[string]int32{
"PREDICTION_FORMAT_UNSPECIFIED": 0,
"JSONL": 2,
"BIGQUERY": 3,
}
)
Enum value maps for ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat.
NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm_name, NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm_value
var (
NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm_name = map[int32]string{
0: "MULTI_TRIAL_ALGORITHM_UNSPECIFIED",
1: "REINFORCEMENT_LEARNING",
2: "GRID_SEARCH",
}
NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm_value = map[string]int32{
"MULTI_TRIAL_ALGORITHM_UNSPECIFIED": 0,
"REINFORCEMENT_LEARNING": 1,
"GRID_SEARCH": 2,
}
)
Enum value maps for NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm.
NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType_name, NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType_value
var (
NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType_name = map[int32]string{
0: "GOAL_TYPE_UNSPECIFIED",
1: "MAXIMIZE",
2: "MINIMIZE",
}
NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType_value = map[string]int32{
"GOAL_TYPE_UNSPECIFIED": 0,
"MAXIMIZE": 1,
"MINIMIZE": 2,
}
)
Enum value maps for NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType.
NasTrial_State_name, NasTrial_State_value
var (
NasTrial_State_name = map[int32]string{
0: "STATE_UNSPECIFIED",
1: "REQUESTED",
2: "ACTIVE",
3: "STOPPING",
4: "SUCCEEDED",
5: "INFEASIBLE",
}
NasTrial_State_value = map[string]int32{
"STATE_UNSPECIFIED": 0,
"REQUESTED": 1,
"ACTIVE": 2,
"STOPPING": 3,
"SUCCEEDED": 4,
"INFEASIBLE": 5,
}
)
Enum value maps for NasTrial_State.
PipelineFailurePolicy_name, PipelineFailurePolicy_value
var (
PipelineFailurePolicy_name = map[int32]string{
0: "PIPELINE_FAILURE_POLICY_UNSPECIFIED",
1: "PIPELINE_FAILURE_POLICY_FAIL_SLOW",
2: "PIPELINE_FAILURE_POLICY_FAIL_FAST",
}
PipelineFailurePolicy_value = map[string]int32{
"PIPELINE_FAILURE_POLICY_UNSPECIFIED": 0,
"PIPELINE_FAILURE_POLICY_FAIL_SLOW": 1,
"PIPELINE_FAILURE_POLICY_FAIL_FAST": 2,
}
)
Enum value maps for PipelineFailurePolicy.
PipelineTaskDetail_State_name, PipelineTaskDetail_State_value
var (
PipelineTaskDetail_State_name = map[int32]string{
0: "STATE_UNSPECIFIED",
1: "PENDING",
2: "RUNNING",
3: "SUCCEEDED",
4: "CANCEL_PENDING",
5: "CANCELLING",
6: "CANCELLED",
7: "FAILED",
8: "SKIPPED",
9: "NOT_TRIGGERED",
}
PipelineTaskDetail_State_value = map[string]int32{
"STATE_UNSPECIFIED": 0,
"PENDING": 1,
"RUNNING": 2,
"SUCCEEDED": 3,
"CANCEL_PENDING": 4,
"CANCELLING": 5,
"CANCELLED": 6,
"FAILED": 7,
"SKIPPED": 8,
"NOT_TRIGGERED": 9,
}
)
Enum value maps for PipelineTaskDetail_State.
PipelineState_name, PipelineState_value
var (
PipelineState_name = map[int32]string{
0: "PIPELINE_STATE_UNSPECIFIED",
1: "PIPELINE_STATE_QUEUED",
2: "PIPELINE_STATE_PENDING",
3: "PIPELINE_STATE_RUNNING",
4: "PIPELINE_STATE_SUCCEEDED",
5: "PIPELINE_STATE_FAILED",
6: "PIPELINE_STATE_CANCELLING",
7: "PIPELINE_STATE_CANCELLED",
8: "PIPELINE_STATE_PAUSED",
}
PipelineState_value = map[string]int32{
"PIPELINE_STATE_UNSPECIFIED": 0,
"PIPELINE_STATE_QUEUED": 1,
"PIPELINE_STATE_PENDING": 2,
"PIPELINE_STATE_RUNNING": 3,
"PIPELINE_STATE_SUCCEEDED": 4,
"PIPELINE_STATE_FAILED": 5,
"PIPELINE_STATE_CANCELLING": 6,
"PIPELINE_STATE_CANCELLED": 7,
"PIPELINE_STATE_PAUSED": 8,
}
)
Enum value maps for PipelineState.
Study_State_name, Study_State_value
var (
Study_State_name = map[int32]string{
0: "STATE_UNSPECIFIED",
1: "ACTIVE",
2: "INACTIVE",
3: "COMPLETED",
}
Study_State_value = map[string]int32{
"STATE_UNSPECIFIED": 0,
"ACTIVE": 1,
"INACTIVE": 2,
"COMPLETED": 3,
}
)
Enum value maps for Study_State.
Trial_State_name, Trial_State_value
var (
Trial_State_name = map[int32]string{
0: "STATE_UNSPECIFIED",
1: "REQUESTED",
2: "ACTIVE",
3: "STOPPING",
4: "SUCCEEDED",
5: "INFEASIBLE",
}
Trial_State_value = map[string]int32{
"STATE_UNSPECIFIED": 0,
"REQUESTED": 1,
"ACTIVE": 2,
"STOPPING": 3,
"SUCCEEDED": 4,
"INFEASIBLE": 5,
}
)
Enum value maps for Trial_State.
StudySpec_Algorithm_name, StudySpec_Algorithm_value
var (
StudySpec_Algorithm_name = map[int32]string{
0: "ALGORITHM_UNSPECIFIED",
2: "GRID_SEARCH",
3: "RANDOM_SEARCH",
}
StudySpec_Algorithm_value = map[string]int32{
"ALGORITHM_UNSPECIFIED": 0,
"GRID_SEARCH": 2,
"RANDOM_SEARCH": 3,
}
)
Enum value maps for StudySpec_Algorithm.
StudySpec_ObservationNoise_name, StudySpec_ObservationNoise_value
var (
StudySpec_ObservationNoise_name = map[int32]string{
0: "OBSERVATION_NOISE_UNSPECIFIED",
1: "LOW",
2: "HIGH",
}
StudySpec_ObservationNoise_value = map[string]int32{
"OBSERVATION_NOISE_UNSPECIFIED": 0,
"LOW": 1,
"HIGH": 2,
}
)
Enum value maps for StudySpec_ObservationNoise.
StudySpec_MeasurementSelectionType_name, StudySpec_MeasurementSelectionType_value
var (
StudySpec_MeasurementSelectionType_name = map[int32]string{
0: "MEASUREMENT_SELECTION_TYPE_UNSPECIFIED",
1: "LAST_MEASUREMENT",
2: "BEST_MEASUREMENT",
}
StudySpec_MeasurementSelectionType_value = map[string]int32{
"MEASUREMENT_SELECTION_TYPE_UNSPECIFIED": 0,
"LAST_MEASUREMENT": 1,
"BEST_MEASUREMENT": 2,
}
)
Enum value maps for StudySpec_MeasurementSelectionType.
StudySpec_MetricSpec_GoalType_name, StudySpec_MetricSpec_GoalType_value
var (
StudySpec_MetricSpec_GoalType_name = map[int32]string{
0: "GOAL_TYPE_UNSPECIFIED",
1: "MAXIMIZE",
2: "MINIMIZE",
}
StudySpec_MetricSpec_GoalType_value = map[string]int32{
"GOAL_TYPE_UNSPECIFIED": 0,
"MAXIMIZE": 1,
"MINIMIZE": 2,
}
)
Enum value maps for StudySpec_MetricSpec_GoalType.
StudySpec_ParameterSpec_ScaleType_name, StudySpec_ParameterSpec_ScaleType_value
var (
StudySpec_ParameterSpec_ScaleType_name = map[int32]string{
0: "SCALE_TYPE_UNSPECIFIED",
1: "UNIT_LINEAR_SCALE",
2: "UNIT_LOG_SCALE",
3: "UNIT_REVERSE_LOG_SCALE",
}
StudySpec_ParameterSpec_ScaleType_value = map[string]int32{
"SCALE_TYPE_UNSPECIFIED": 0,
"UNIT_LINEAR_SCALE": 1,
"UNIT_LOG_SCALE": 2,
"UNIT_REVERSE_LOG_SCALE": 3,
}
)
Enum value maps for StudySpec_ParameterSpec_ScaleType.
TensorboardTimeSeries_ValueType_name, TensorboardTimeSeries_ValueType_value
var (
TensorboardTimeSeries_ValueType_name = map[int32]string{
0: "VALUE_TYPE_UNSPECIFIED",
1: "SCALAR",
2: "TENSOR",
3: "BLOB_SEQUENCE",
}
TensorboardTimeSeries_ValueType_value = map[string]int32{
"VALUE_TYPE_UNSPECIFIED": 0,
"SCALAR": 1,
"TENSOR": 2,
"BLOB_SEQUENCE": 3,
}
)
Enum value maps for TensorboardTimeSeries_ValueType.
File_google_cloud_aiplatform_v1_accelerator_type_proto
var File_google_cloud_aiplatform_v1_accelerator_type_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_annotation_proto
var File_google_cloud_aiplatform_v1_annotation_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_annotation_spec_proto
var File_google_cloud_aiplatform_v1_annotation_spec_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_artifact_proto
var File_google_cloud_aiplatform_v1_artifact_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_batch_prediction_job_proto
var File_google_cloud_aiplatform_v1_batch_prediction_job_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_completion_stats_proto
var File_google_cloud_aiplatform_v1_completion_stats_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_context_proto
var File_google_cloud_aiplatform_v1_context_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_custom_job_proto
var File_google_cloud_aiplatform_v1_custom_job_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_data_item_proto
var File_google_cloud_aiplatform_v1_data_item_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_data_labeling_job_proto
var File_google_cloud_aiplatform_v1_data_labeling_job_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_dataset_proto
var File_google_cloud_aiplatform_v1_dataset_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_dataset_service_proto
var File_google_cloud_aiplatform_v1_dataset_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_deployed_index_ref_proto
var File_google_cloud_aiplatform_v1_deployed_index_ref_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_deployed_model_ref_proto
var File_google_cloud_aiplatform_v1_deployed_model_ref_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_encryption_spec_proto
var File_google_cloud_aiplatform_v1_encryption_spec_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_endpoint_proto
var File_google_cloud_aiplatform_v1_endpoint_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_endpoint_service_proto
var File_google_cloud_aiplatform_v1_endpoint_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_entity_type_proto
var File_google_cloud_aiplatform_v1_entity_type_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_env_var_proto
var File_google_cloud_aiplatform_v1_env_var_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_event_proto
var File_google_cloud_aiplatform_v1_event_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_execution_proto
var File_google_cloud_aiplatform_v1_execution_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_explanation_metadata_proto
var File_google_cloud_aiplatform_v1_explanation_metadata_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_explanation_proto
var File_google_cloud_aiplatform_v1_explanation_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_feature_monitoring_stats_proto
var File_google_cloud_aiplatform_v1_feature_monitoring_stats_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_feature_proto
var File_google_cloud_aiplatform_v1_feature_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_feature_selector_proto
var File_google_cloud_aiplatform_v1_feature_selector_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_featurestore_monitoring_proto
var File_google_cloud_aiplatform_v1_featurestore_monitoring_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_featurestore_online_service_proto
var File_google_cloud_aiplatform_v1_featurestore_online_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_featurestore_proto
var File_google_cloud_aiplatform_v1_featurestore_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_featurestore_service_proto
var File_google_cloud_aiplatform_v1_featurestore_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_hyperparameter_tuning_job_proto
var File_google_cloud_aiplatform_v1_hyperparameter_tuning_job_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_index_endpoint_proto
var File_google_cloud_aiplatform_v1_index_endpoint_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_index_endpoint_service_proto
var File_google_cloud_aiplatform_v1_index_endpoint_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_index_proto
var File_google_cloud_aiplatform_v1_index_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_index_service_proto
var File_google_cloud_aiplatform_v1_index_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_io_proto
var File_google_cloud_aiplatform_v1_io_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_job_service_proto
var File_google_cloud_aiplatform_v1_job_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_job_state_proto
var File_google_cloud_aiplatform_v1_job_state_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_lineage_subgraph_proto
var File_google_cloud_aiplatform_v1_lineage_subgraph_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_machine_resources_proto
var File_google_cloud_aiplatform_v1_machine_resources_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_manual_batch_tuning_parameters_proto
var File_google_cloud_aiplatform_v1_manual_batch_tuning_parameters_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_metadata_schema_proto
var File_google_cloud_aiplatform_v1_metadata_schema_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_metadata_service_proto
var File_google_cloud_aiplatform_v1_metadata_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_metadata_store_proto
var File_google_cloud_aiplatform_v1_metadata_store_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_migratable_resource_proto
var File_google_cloud_aiplatform_v1_migratable_resource_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_migration_service_proto
var File_google_cloud_aiplatform_v1_migration_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_model_deployment_monitoring_job_proto
var File_google_cloud_aiplatform_v1_model_deployment_monitoring_job_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_model_evaluation_proto
var File_google_cloud_aiplatform_v1_model_evaluation_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_model_evaluation_slice_proto
var File_google_cloud_aiplatform_v1_model_evaluation_slice_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_model_monitoring_proto
var File_google_cloud_aiplatform_v1_model_monitoring_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_model_proto
var File_google_cloud_aiplatform_v1_model_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_model_service_proto
var File_google_cloud_aiplatform_v1_model_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_nas_job_proto
var File_google_cloud_aiplatform_v1_nas_job_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_operation_proto
var File_google_cloud_aiplatform_v1_operation_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_pipeline_failure_policy_proto
var File_google_cloud_aiplatform_v1_pipeline_failure_policy_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_pipeline_job_proto
var File_google_cloud_aiplatform_v1_pipeline_job_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_pipeline_service_proto
var File_google_cloud_aiplatform_v1_pipeline_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_pipeline_state_proto
var File_google_cloud_aiplatform_v1_pipeline_state_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_prediction_service_proto
var File_google_cloud_aiplatform_v1_prediction_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_saved_query_proto
var File_google_cloud_aiplatform_v1_saved_query_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_service_networking_proto
var File_google_cloud_aiplatform_v1_service_networking_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_specialist_pool_proto
var File_google_cloud_aiplatform_v1_specialist_pool_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_specialist_pool_service_proto
var File_google_cloud_aiplatform_v1_specialist_pool_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_study_proto
var File_google_cloud_aiplatform_v1_study_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_tensorboard_data_proto
var File_google_cloud_aiplatform_v1_tensorboard_data_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_tensorboard_experiment_proto
var File_google_cloud_aiplatform_v1_tensorboard_experiment_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_tensorboard_proto
var File_google_cloud_aiplatform_v1_tensorboard_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_tensorboard_run_proto
var File_google_cloud_aiplatform_v1_tensorboard_run_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_tensorboard_service_proto
var File_google_cloud_aiplatform_v1_tensorboard_service_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_tensorboard_time_series_proto
var File_google_cloud_aiplatform_v1_tensorboard_time_series_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_training_pipeline_proto
var File_google_cloud_aiplatform_v1_training_pipeline_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_types_proto
var File_google_cloud_aiplatform_v1_types_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_unmanaged_container_model_proto
var File_google_cloud_aiplatform_v1_unmanaged_container_model_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_user_action_reference_proto
var File_google_cloud_aiplatform_v1_user_action_reference_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_value_proto
var File_google_cloud_aiplatform_v1_value_proto protoreflect.FileDescriptor
File_google_cloud_aiplatform_v1_vizier_service_proto
var File_google_cloud_aiplatform_v1_vizier_service_proto protoreflect.FileDescriptor
Functions
func RegisterDatasetServiceServer
func RegisterDatasetServiceServer(s *grpc.Server, srv DatasetServiceServer)
func RegisterEndpointServiceServer
func RegisterEndpointServiceServer(s *grpc.Server, srv EndpointServiceServer)
func RegisterFeaturestoreOnlineServingServiceServer
func RegisterFeaturestoreOnlineServingServiceServer(s *grpc.Server, srv FeaturestoreOnlineServingServiceServer)
func RegisterFeaturestoreServiceServer
func RegisterFeaturestoreServiceServer(s *grpc.Server, srv FeaturestoreServiceServer)
func RegisterIndexEndpointServiceServer
func RegisterIndexEndpointServiceServer(s *grpc.Server, srv IndexEndpointServiceServer)
func RegisterIndexServiceServer
func RegisterIndexServiceServer(s *grpc.Server, srv IndexServiceServer)
func RegisterJobServiceServer
func RegisterJobServiceServer(s *grpc.Server, srv JobServiceServer)
func RegisterMetadataServiceServer
func RegisterMetadataServiceServer(s *grpc.Server, srv MetadataServiceServer)
func RegisterMigrationServiceServer
func RegisterMigrationServiceServer(s *grpc.Server, srv MigrationServiceServer)
func RegisterModelServiceServer
func RegisterModelServiceServer(s *grpc.Server, srv ModelServiceServer)
func RegisterPipelineServiceServer
func RegisterPipelineServiceServer(s *grpc.Server, srv PipelineServiceServer)
func RegisterPredictionServiceServer
func RegisterPredictionServiceServer(s *grpc.Server, srv PredictionServiceServer)
func RegisterSpecialistPoolServiceServer
func RegisterSpecialistPoolServiceServer(s *grpc.Server, srv SpecialistPoolServiceServer)
func RegisterTensorboardServiceServer
func RegisterTensorboardServiceServer(s *grpc.Server, srv TensorboardServiceServer)
func RegisterVizierServiceServer
func RegisterVizierServiceServer(s *grpc.Server, srv VizierServiceServer)
AcceleratorType
type AcceleratorType int32
Represents a hardware accelerator type.
AcceleratorType_ACCELERATOR_TYPE_UNSPECIFIED, AcceleratorType_NVIDIA_TESLA_K80, AcceleratorType_NVIDIA_TESLA_P100, AcceleratorType_NVIDIA_TESLA_V100, AcceleratorType_NVIDIA_TESLA_P4, AcceleratorType_NVIDIA_TESLA_T4, AcceleratorType_NVIDIA_TESLA_A100, AcceleratorType_TPU_V2, AcceleratorType_TPU_V3
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
// TPU v2.
AcceleratorType_TPU_V2 AcceleratorType = 6
// TPU v3.
AcceleratorType_TPU_V3 AcceleratorType = 7
)
func (AcceleratorType) Descriptor
func (AcceleratorType) Descriptor() protoreflect.EnumDescriptor
func (AcceleratorType) Enum
func (x AcceleratorType) Enum() *AcceleratorType
func (AcceleratorType) EnumDescriptor
func (AcceleratorType) EnumDescriptor() ([]byte, []int)
Deprecated: Use AcceleratorType.Descriptor instead.
func (AcceleratorType) Number
func (x AcceleratorType) Number() protoreflect.EnumNumber
func (AcceleratorType) String
func (x AcceleratorType) String() string
func (AcceleratorType) Type
func (AcceleratorType) Type() protoreflect.EnumType
ActiveLearningConfig
type ActiveLearningConfig struct {
// Required. Max human labeling DataItems. The rest part will be labeled by
// machine.
//
// Types that are assignable to HumanLabelingBudget:
// *ActiveLearningConfig_MaxDataItemCount
// *ActiveLearningConfig_MaxDataItemPercentage
HumanLabelingBudget isActiveLearningConfig_HumanLabelingBudget `protobuf_oneof:"human_labeling_budget"`
// Active learning data sampling config. For every active learning labeling
// iteration, it will select a batch of data based on the sampling strategy.
SampleConfig *SampleConfig `protobuf:"bytes,3,opt,name=sample_config,json=sampleConfig,proto3" json:"sample_config,omitempty"`
// CMLE training config. For every active learning labeling iteration, system
// will train a machine learning model on CMLE. The trained model will be used
// by data sampling algorithm to select DataItems.
TrainingConfig *TrainingConfig `protobuf:"bytes,4,opt,name=training_config,json=trainingConfig,proto3" json:"training_config,omitempty"`
// contains filtered or unexported fields
}
Parameters that configure the active learning pipeline. Active learning will
label the data incrementally by several iterations. For every iteration, it
will select a batch of data based on the sampling strategy.
func (*ActiveLearningConfig) Descriptor
func (*ActiveLearningConfig) Descriptor() ([]byte, []int)
Deprecated: Use ActiveLearningConfig.ProtoReflect.Descriptor instead.
func (*ActiveLearningConfig) GetHumanLabelingBudget
func (m *ActiveLearningConfig) GetHumanLabelingBudget() isActiveLearningConfig_HumanLabelingBudget
func (*ActiveLearningConfig) GetMaxDataItemCount
func (x *ActiveLearningConfig) GetMaxDataItemCount() int64
func (*ActiveLearningConfig) GetMaxDataItemPercentage
func (x *ActiveLearningConfig) GetMaxDataItemPercentage() int32
func (*ActiveLearningConfig) GetSampleConfig
func (x *ActiveLearningConfig) GetSampleConfig() *SampleConfig
func (*ActiveLearningConfig) GetTrainingConfig
func (x *ActiveLearningConfig) GetTrainingConfig() *TrainingConfig
func (*ActiveLearningConfig) ProtoMessage
func (*ActiveLearningConfig) ProtoMessage()
func (*ActiveLearningConfig) ProtoReflect
func (x *ActiveLearningConfig) ProtoReflect() protoreflect.Message
func (*ActiveLearningConfig) Reset
func (x *ActiveLearningConfig) Reset()
func (*ActiveLearningConfig) String
func (x *ActiveLearningConfig) String() string
ActiveLearningConfig_MaxDataItemCount
type ActiveLearningConfig_MaxDataItemCount struct {
// Max number of human labeled DataItems.
MaxDataItemCount int64 `protobuf:"varint,1,opt,name=max_data_item_count,json=maxDataItemCount,proto3,oneof"`
}
ActiveLearningConfig_MaxDataItemPercentage
type ActiveLearningConfig_MaxDataItemPercentage struct {
// Max percent of total DataItems for human labeling.
MaxDataItemPercentage int32 `protobuf:"varint,2,opt,name=max_data_item_percentage,json=maxDataItemPercentage,proto3,oneof"`
}
AddContextArtifactsAndExecutionsRequest
type AddContextArtifactsAndExecutionsRequest struct {
// Required. The resource name of the Context that the Artifacts and
// Executions belong to. Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
// The resource names of the Artifacts to attribute to the Context.
//
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
Artifacts []string `protobuf:"bytes,2,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
// The resource names of the Executions to associate with the
// Context.
//
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
Executions []string `protobuf:"bytes,3,rep,name=executions,proto3" json:"executions,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
func (*AddContextArtifactsAndExecutionsRequest) Descriptor
func (*AddContextArtifactsAndExecutionsRequest) Descriptor() ([]byte, []int)
Deprecated: Use AddContextArtifactsAndExecutionsRequest.ProtoReflect.Descriptor instead.
func (*AddContextArtifactsAndExecutionsRequest) GetArtifacts
func (x *AddContextArtifactsAndExecutionsRequest) GetArtifacts() []string
func (*AddContextArtifactsAndExecutionsRequest) GetContext
func (x *AddContextArtifactsAndExecutionsRequest) GetContext() string
func (*AddContextArtifactsAndExecutionsRequest) GetExecutions
func (x *AddContextArtifactsAndExecutionsRequest) GetExecutions() []string
func (*AddContextArtifactsAndExecutionsRequest) ProtoMessage
func (*AddContextArtifactsAndExecutionsRequest) ProtoMessage()
func (*AddContextArtifactsAndExecutionsRequest) ProtoReflect
func (x *AddContextArtifactsAndExecutionsRequest) ProtoReflect() protoreflect.Message
func (*AddContextArtifactsAndExecutionsRequest) Reset
func (x *AddContextArtifactsAndExecutionsRequest) Reset()
func (*AddContextArtifactsAndExecutionsRequest) String
func (x *AddContextArtifactsAndExecutionsRequest) String() string
AddContextArtifactsAndExecutionsResponse
type AddContextArtifactsAndExecutionsResponse struct {
// contains filtered or unexported fields
}
Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
func (*AddContextArtifactsAndExecutionsResponse) Descriptor
func (*AddContextArtifactsAndExecutionsResponse) Descriptor() ([]byte, []int)
Deprecated: Use AddContextArtifactsAndExecutionsResponse.ProtoReflect.Descriptor instead.
func (*AddContextArtifactsAndExecutionsResponse) ProtoMessage
func (*AddContextArtifactsAndExecutionsResponse) ProtoMessage()
func (*AddContextArtifactsAndExecutionsResponse) ProtoReflect
func (x *AddContextArtifactsAndExecutionsResponse) ProtoReflect() protoreflect.Message
func (*AddContextArtifactsAndExecutionsResponse) Reset
func (x *AddContextArtifactsAndExecutionsResponse) Reset()
func (*AddContextArtifactsAndExecutionsResponse) String
func (x *AddContextArtifactsAndExecutionsResponse) String() string
AddContextChildrenRequest
type AddContextChildrenRequest struct {
// Required. The resource name of the parent Context.
//
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
// The resource names of the child Contexts.
ChildContexts []string `protobuf:"bytes,2,rep,name=child_contexts,json=childContexts,proto3" json:"child_contexts,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
func (*AddContextChildrenRequest) Descriptor
func (*AddContextChildrenRequest) Descriptor() ([]byte, []int)
Deprecated: Use AddContextChildrenRequest.ProtoReflect.Descriptor instead.
func (*AddContextChildrenRequest) GetChildContexts
func (x *AddContextChildrenRequest) GetChildContexts() []string
func (*AddContextChildrenRequest) GetContext
func (x *AddContextChildrenRequest) GetContext() string
func (*AddContextChildrenRequest) ProtoMessage
func (*AddContextChildrenRequest) ProtoMessage()
func (*AddContextChildrenRequest) ProtoReflect
func (x *AddContextChildrenRequest) ProtoReflect() protoreflect.Message
func (*AddContextChildrenRequest) Reset
func (x *AddContextChildrenRequest) Reset()
func (*AddContextChildrenRequest) String
func (x *AddContextChildrenRequest) String() string
AddContextChildrenResponse
type AddContextChildrenResponse struct {
// contains filtered or unexported fields
}
Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
func (*AddContextChildrenResponse) Descriptor
func (*AddContextChildrenResponse) Descriptor() ([]byte, []int)
Deprecated: Use AddContextChildrenResponse.ProtoReflect.Descriptor instead.
func (*AddContextChildrenResponse) ProtoMessage
func (*AddContextChildrenResponse) ProtoMessage()
func (*AddContextChildrenResponse) ProtoReflect
func (x *AddContextChildrenResponse) ProtoReflect() protoreflect.Message
func (*AddContextChildrenResponse) Reset
func (x *AddContextChildrenResponse) Reset()
func (*AddContextChildrenResponse) String
func (x *AddContextChildrenResponse) String() string
AddExecutionEventsRequest
type AddExecutionEventsRequest struct {
// Required. The resource name of the Execution that the Events connect
// Artifacts with.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
Execution string `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
// The Events to create and add.
Events []*Event `protobuf:"bytes,2,rep,name=events,proto3" json:"events,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
func (*AddExecutionEventsRequest) Descriptor
func (*AddExecutionEventsRequest) Descriptor() ([]byte, []int)
Deprecated: Use AddExecutionEventsRequest.ProtoReflect.Descriptor instead.
func (*AddExecutionEventsRequest) GetEvents
func (x *AddExecutionEventsRequest) GetEvents() []*Event
func (*AddExecutionEventsRequest) GetExecution
func (x *AddExecutionEventsRequest) GetExecution() string
func (*AddExecutionEventsRequest) ProtoMessage
func (*AddExecutionEventsRequest) ProtoMessage()
func (*AddExecutionEventsRequest) ProtoReflect
func (x *AddExecutionEventsRequest) ProtoReflect() protoreflect.Message
func (*AddExecutionEventsRequest) Reset
func (x *AddExecutionEventsRequest) Reset()
func (*AddExecutionEventsRequest) String
func (x *AddExecutionEventsRequest) String() string
AddExecutionEventsResponse
type AddExecutionEventsResponse struct {
// contains filtered or unexported fields
}
Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
func (*AddExecutionEventsResponse) Descriptor
func (*AddExecutionEventsResponse) Descriptor() ([]byte, []int)
Deprecated: Use AddExecutionEventsResponse.ProtoReflect.Descriptor instead.
func (*AddExecutionEventsResponse) ProtoMessage
func (*AddExecutionEventsResponse) ProtoMessage()
func (*AddExecutionEventsResponse) ProtoReflect
func (x *AddExecutionEventsResponse) ProtoReflect() protoreflect.Message
func (*AddExecutionEventsResponse) Reset
func (x *AddExecutionEventsResponse) Reset()
func (*AddExecutionEventsResponse) String
func (x *AddExecutionEventsResponse) String() string
AddTrialMeasurementRequest
type AddTrialMeasurementRequest struct {
// Required. The name of the trial to add measurement.
// Format:
// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
TrialName string `protobuf:"bytes,1,opt,name=trial_name,json=trialName,proto3" json:"trial_name,omitempty"`
// Required. The measurement to be added to a Trial.
Measurement *Measurement `protobuf:"bytes,3,opt,name=measurement,proto3" json:"measurement,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
func (*AddTrialMeasurementRequest) Descriptor
func (*AddTrialMeasurementRequest) Descriptor() ([]byte, []int)
Deprecated: Use AddTrialMeasurementRequest.ProtoReflect.Descriptor instead.
func (*AddTrialMeasurementRequest) GetMeasurement
func (x *AddTrialMeasurementRequest) GetMeasurement() *Measurement
func (*AddTrialMeasurementRequest) GetTrialName
func (x *AddTrialMeasurementRequest) GetTrialName() string
func (*AddTrialMeasurementRequest) ProtoMessage
func (*AddTrialMeasurementRequest) ProtoMessage()
func (*AddTrialMeasurementRequest) ProtoReflect
func (x *AddTrialMeasurementRequest) ProtoReflect() protoreflect.Message
func (*AddTrialMeasurementRequest) Reset
func (x *AddTrialMeasurementRequest) Reset()
func (*AddTrialMeasurementRequest) String
func (x *AddTrialMeasurementRequest) String() string
Annotation
type Annotation struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
PayloadSchemaUri string `protobuf:"bytes,2,opt,name=payload_schema_uri,json=payloadSchemaUri,proto3" json:"payload_schema_uri,omitempty"`
Payload *structpb.Value `protobuf:"bytes,3,opt,name=payload,proto3" json:"payload,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
AnnotationSource *UserActionReference `protobuf:"bytes,5,opt,name=annotation_source,json=annotationSource,proto3" json:"annotation_source,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
}
Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.
func (*Annotation) Descriptor
func (*Annotation) Descriptor() ([]byte, []int)
Deprecated: Use Annotation.ProtoReflect.Descriptor instead.
func (*Annotation) GetAnnotationSource
func (x *Annotation) GetAnnotationSource() *UserActionReference
func (*Annotation) GetCreateTime
func (x *Annotation) GetCreateTime() *timestamppb.Timestamp
func (*Annotation) GetEtag
func (x *Annotation) GetEtag() string
func (*Annotation) GetLabels
func (x *Annotation) GetLabels() map[string]string
func (*Annotation) GetName
func (x *Annotation) GetName() string
func (*Annotation) GetPayload
func (x *Annotation) GetPayload() *structpb.Value
func (*Annotation) GetPayloadSchemaUri
func (x *Annotation) GetPayloadSchemaUri() string
func (*Annotation) GetUpdateTime
func (x *Annotation) GetUpdateTime() *timestamppb.Timestamp
func (*Annotation) ProtoMessage
func (*Annotation) ProtoMessage()
func (*Annotation) ProtoReflect
func (x *Annotation) ProtoReflect() protoreflect.Message
func (*Annotation) Reset
func (x *Annotation) Reset()
func (*Annotation) String
func (x *Annotation) String() string
AnnotationSpec
type AnnotationSpec struct {
// Output only. Resource name of the AnnotationSpec.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. The user-defined name of the AnnotationSpec.
// The name can be up to 128 characters long and can consist of any UTF-8
// characters.
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// Output only. Timestamp when this AnnotationSpec was created.
CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
// Output only. Timestamp when AnnotationSpec was last updated.
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
// Optional. Used to perform consistent read-modify-write updates. If not set,
// a blind "overwrite" update happens.
Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
// contains filtered or unexported fields
}
Identifies a concept with which DataItems may be annotated with.
func (*AnnotationSpec) Descriptor
func (*AnnotationSpec) Descriptor() ([]byte, []int)
Deprecated: Use AnnotationSpec.ProtoReflect.Descriptor instead.
func (*AnnotationSpec) GetCreateTime
func (x *AnnotationSpec) GetCreateTime() *timestamppb.Timestamp
func (*AnnotationSpec) GetDisplayName
func (x *AnnotationSpec) GetDisplayName() string
func (*AnnotationSpec) GetEtag
func (x *AnnotationSpec) GetEtag() string
func (*AnnotationSpec) GetName
func (x *AnnotationSpec) GetName() string
func (*AnnotationSpec) GetUpdateTime
func (x *AnnotationSpec) GetUpdateTime() *timestamppb.Timestamp
func (*AnnotationSpec) ProtoMessage
func (*AnnotationSpec) ProtoMessage()
func (*AnnotationSpec) ProtoReflect
func (x *AnnotationSpec) ProtoReflect() protoreflect.Message
func (*AnnotationSpec) Reset
func (x *AnnotationSpec) Reset()
func (*AnnotationSpec) String
func (x *AnnotationSpec) String() string
Artifact
type Artifact struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Uri string `protobuf:"bytes,6,opt,name=uri,proto3" json:"uri,omitempty"`
Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
State Artifact_State `protobuf:"varint,13,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Artifact_State" json:"state,omitempty"`
SchemaTitle string `protobuf:"bytes,14,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`
SchemaVersion string `protobuf:"bytes,15,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
Metadata *structpb.Struct `protobuf:"bytes,16,opt,name=metadata,proto3" json:"metadata,omitempty"`
Description string `protobuf:"bytes,17,opt,name=description,proto3" json:"description,omitempty"`
}
Instance of a general artifact.
func (*Artifact) Descriptor
Deprecated: Use Artifact.ProtoReflect.Descriptor instead.
func (*Artifact) GetCreateTime
func (x *Artifact) GetCreateTime() *timestamppb.Timestamp
func (*Artifact) GetDescription
func (*Artifact) GetDisplayName
func (*Artifact) GetEtag
func (*Artifact) GetLabels
func (*Artifact) GetMetadata
func (*Artifact) GetName
func (*Artifact) GetSchemaTitle
func (*Artifact) GetSchemaVersion
func (*Artifact) GetState
func (x *Artifact) GetState() Artifact_State
func (*Artifact) GetUpdateTime
func (x *Artifact) GetUpdateTime() *timestamppb.Timestamp
func (*Artifact) GetUri
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
Artifact_State
type Artifact_State int32
Describes the state of the Artifact.
Artifact_STATE_UNSPECIFIED, Artifact_PENDING, Artifact_LIVE
const (
// Unspecified state for the Artifact.
Artifact_STATE_UNSPECIFIED Artifact_State = 0
// A state used by systems like Vertex AI Pipelines to indicate that the
// underlying data item represented by this Artifact is being created.
Artifact_PENDING Artifact_State = 1
// A state indicating that the Artifact should exist, unless something
// external to the system deletes it.
Artifact_LIVE Artifact_State = 2
)
func (Artifact_State) Descriptor
func (Artifact_State) Descriptor() protoreflect.EnumDescriptor
func (Artifact_State) Enum
func (x Artifact_State) Enum() *Artifact_State
func (Artifact_State) EnumDescriptor
func (Artifact_State) EnumDescriptor() ([]byte, []int)
Deprecated: Use Artifact_State.Descriptor instead.
func (Artifact_State) Number
func (x Artifact_State) Number() protoreflect.EnumNumber
func (Artifact_State) String
func (x Artifact_State) String() string
func (Artifact_State) Type
func (Artifact_State) Type() protoreflect.EnumType
Attribution
type Attribution struct {
// Output only. Model predicted output if the input instance is constructed
// from the baselines of all the features defined in
// [ExplanationMetadata.inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
// The field name of the output is determined by the key in
// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
//
// If the Model's predicted output has multiple dimensions (rank > 1), this is
// the value in the output located by
// [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
//
// If there are multiple baselines, their output values are averaged.
BaselineOutputValue float64 `protobuf:"fixed64,1,opt,name=baseline_output_value,json=baselineOutputValue,proto3" json:"baseline_output_value,omitempty"`
// Output only. Model predicted output on the corresponding [explanation
// instance][ExplainRequest.instances]. The field name of the output is
// determined by the key in
// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
//
// If the Model predicted output has multiple dimensions, this is the value in
// the output located by
// [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
InstanceOutputValue float64 `protobuf:"fixed64,2,opt,name=instance_output_value,json=instanceOutputValue,proto3" json:"instance_output_value,omitempty"`
// Output only. Attributions of each explained feature. Features are extracted
// from the [prediction
// instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
// to [explanation metadata for
// inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
//
// The value is a struct, whose keys are the name of the feature. The values
// are how much the feature in the
// [instance][google.cloud.aiplatform.v1.ExplainRequest.instances] contributed
// to the predicted result.
//
// The format of the value is determined by the feature's input format:
//
// * If the feature is a scalar value, the attribution value is a
// [floating number][google.protobuf.Value.number_value].
//
// * If the feature is an array of scalar values, the attribution value is
// an [array][google.protobuf.Value.list_value].
//
// * If the feature is a struct, the attribution value is a
// [struct][google.protobuf.Value.struct_value]. The keys in the
// attribution value struct are the same as the keys in the feature
// struct. The formats of the values in the attribution struct are
// determined by the formats of the values in the feature struct.
//
// The
// [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1.ExplanationMetadata.feature_attributions_schema_uri]
// field, pointed to by the
// [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
// [Endpoint.deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
// object, points to the schema file that describes the features and their
// attribution values (if it is populated).
FeatureAttributions *structpb.Value `protobuf:"bytes,3,opt,name=feature_attributions,json=featureAttributions,proto3" json:"feature_attributions,omitempty"`
// Output only. The index that locates the explained prediction output.
//
// If the prediction output is a scalar value, output_index is not populated.
// If the prediction output has multiple dimensions, the length of the
// output_index list is the same as the number of dimensions of the output.
// The i-th element in output_index is the element index of the i-th dimension
// of the output vector. Indices start from 0.
OutputIndex []int32 `protobuf:"varint,4,rep,packed,name=output_index,json=outputIndex,proto3" json:"output_index,omitempty"`
// Output only. The display name of the output identified by
// [output_index][google.cloud.aiplatform.v1.Attribution.output_index]. For
// example, the predicted class name by a multi-classification Model.
//
// This field is only populated iff the Model predicts display names as a
// separate field along with the explained output. The predicted display name
// must has the same shape of the explained output, and can be located using
// output_index.
OutputDisplayName string `protobuf:"bytes,5,opt,name=output_display_name,json=outputDisplayName,proto3" json:"output_display_name,omitempty"`
// Output only. Error of
// [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
// caused by approximation used in the explanation method. Lower value means
// more precise attributions.
//
// * For Sampled Shapley
// [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution],
// increasing
// [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count]
// might reduce the error.
// * For Integrated Gradients
// [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution],
// increasing
// [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count]
// might reduce the error.
// * For [XRAI
// attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution],
// increasing
// [step_count][google.cloud.aiplatform.v1.XraiAttribution.step_count] might
// reduce the error.
//
// See [this introduction](/vertex-ai/docs/explainable-ai/overview)
// for more information.
ApproximationError float64 `protobuf:"fixed64,6,opt,name=approximation_error,json=approximationError,proto3" json:"approximation_error,omitempty"`
// Output only. Name of the explain output. Specified as the key in
// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
OutputName string `protobuf:"bytes,7,opt,name=output_name,json=outputName,proto3" json:"output_name,omitempty"`
// contains filtered or unexported fields
}
Attribution that explains a particular prediction output.
func (*Attribution) Descriptor
func (*Attribution) Descriptor() ([]byte, []int)
Deprecated: Use Attribution.ProtoReflect.Descriptor instead.
func (*Attribution) GetApproximationError
func (x *Attribution) GetApproximationError() float64
func (*Attribution) GetBaselineOutputValue
func (x *Attribution) GetBaselineOutputValue() float64
func (*Attribution) GetFeatureAttributions
func (x *Attribution) GetFeatureAttributions() *structpb.Value
func (*Attribution) GetInstanceOutputValue
func (x *Attribution) GetInstanceOutputValue() float64
func (*Attribution) GetOutputDisplayName
func (x *Attribution) GetOutputDisplayName() string
func (*Attribution) GetOutputIndex
func (x *Attribution) GetOutputIndex() []int32
func (*Attribution) GetOutputName
func (x *Attribution) GetOutputName() string
func (*Attribution) ProtoMessage
func (*Attribution) ProtoMessage()
func (*Attribution) ProtoReflect
func (x *Attribution) ProtoReflect() protoreflect.Message
func (*Attribution) Reset
func (x *Attribution) Reset()
func (*Attribution) String
func (x *Attribution) String() string
AutomaticResources
type AutomaticResources struct {
// Immutable. The minimum number of replicas this DeployedModel will be always
// deployed on. If traffic against it increases, it may dynamically be
// deployed onto more replicas up to
// [max_replica_count][google.cloud.aiplatform.v1.AutomaticResources.max_replica_count],
// and as traffic decreases, some of these extra replicas may be freed. If the
// requested value is too large, the deployment will error.
MinReplicaCount int32 `protobuf:"varint,1,opt,name=min_replica_count,json=minReplicaCount,proto3" json:"min_replica_count,omitempty"`
// Immutable. The maximum number of replicas this DeployedModel may be
// deployed on when the traffic against it increases. If the requested value
// is too large, the deployment will error, but if deployment succeeds then
// the ability to scale the model to that many replicas is guaranteed (barring
// service outages). If traffic against the DeployedModel increases beyond
// what its replicas at maximum may handle, a portion of the traffic will be
// dropped. If this value is not provided, a no upper bound for scaling under
// heavy traffic will be assume, though Vertex AI may be unable to scale
// beyond certain replica number.
MaxReplicaCount int32 `protobuf:"varint,2,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
// contains filtered or unexported fields
}
A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration. Each Model supporting these resources documents its specific guidelines.
func (*AutomaticResources) Descriptor
func (*AutomaticResources) Descriptor() ([]byte, []int)
Deprecated: Use AutomaticResources.ProtoReflect.Descriptor instead.
func (*AutomaticResources) GetMaxReplicaCount
func (x *AutomaticResources) GetMaxReplicaCount() int32
func (*AutomaticResources) GetMinReplicaCount
func (x *AutomaticResources) GetMinReplicaCount() int32
func (*AutomaticResources) ProtoMessage
func (*AutomaticResources) ProtoMessage()
func (*AutomaticResources) ProtoReflect
func (x *AutomaticResources) ProtoReflect() protoreflect.Message
func (*AutomaticResources) Reset
func (x *AutomaticResources) Reset()
func (*AutomaticResources) String
func (x *AutomaticResources) String() string
AutoscalingMetricSpec
type AutoscalingMetricSpec struct {
// Required. The resource metric name.
// Supported metrics:
//
// * For Online Prediction:
// * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle`
// * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
MetricName string `protobuf:"bytes,1,opt,name=metric_name,json=metricName,proto3" json:"metric_name,omitempty"`
// The target resource utilization in percentage (1% - 100%) for the given
// metric; once the real usage deviates from the target by a certain
// percentage, the machine replicas change. The default value is 60
// (representing 60%) if not provided.
Target int32 `protobuf:"varint,2,opt,name=target,proto3" json:"target,omitempty"`
// contains filtered or unexported fields
}
The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.
func (*AutoscalingMetricSpec) Descriptor
func (*AutoscalingMetricSpec) Descriptor() ([]byte, []int)
Deprecated: Use AutoscalingMetricSpec.ProtoReflect.Descriptor instead.
func (*AutoscalingMetricSpec) GetMetricName
func (x *AutoscalingMetricSpec) GetMetricName() string
func (*AutoscalingMetricSpec) GetTarget
func (x *AutoscalingMetricSpec) GetTarget() int32
func (*AutoscalingMetricSpec) ProtoMessage
func (*AutoscalingMetricSpec) ProtoMessage()
func (*AutoscalingMetricSpec) ProtoReflect
func (x *AutoscalingMetricSpec) ProtoReflect() protoreflect.Message
func (*AutoscalingMetricSpec) Reset
func (x *AutoscalingMetricSpec) Reset()
func (*AutoscalingMetricSpec) String
func (x *AutoscalingMetricSpec) String() string
AvroSource
type AvroSource struct {
// Required. Google Cloud Storage location.
GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
// contains filtered or unexported fields
}
The storage details for Avro input content.
func (*AvroSource) Descriptor
func (*AvroSource) Descriptor() ([]byte, []int)
Deprecated: Use AvroSource.ProtoReflect.Descriptor instead.
func (*AvroSource) GetGcsSource
func (x *AvroSource) GetGcsSource() *GcsSource
func (*AvroSource) ProtoMessage
func (*AvroSource) ProtoMessage()
func (*AvroSource) ProtoReflect
func (x *AvroSource) ProtoReflect() protoreflect.Message
func (*AvroSource) Reset
func (x *AvroSource) Reset()
func (*AvroSource) String
func (x *AvroSource) String() string
BatchCreateFeaturesOperationMetadata
type BatchCreateFeaturesOperationMetadata struct {
// Operation metadata for Feature.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform batch create Features.
func (*BatchCreateFeaturesOperationMetadata) Descriptor
func (*BatchCreateFeaturesOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use BatchCreateFeaturesOperationMetadata.ProtoReflect.Descriptor instead.
func (*BatchCreateFeaturesOperationMetadata) GetGenericMetadata
func (x *BatchCreateFeaturesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*BatchCreateFeaturesOperationMetadata) ProtoMessage
func (*BatchCreateFeaturesOperationMetadata) ProtoMessage()
func (*BatchCreateFeaturesOperationMetadata) ProtoReflect
func (x *BatchCreateFeaturesOperationMetadata) ProtoReflect() protoreflect.Message
func (*BatchCreateFeaturesOperationMetadata) Reset
func (x *BatchCreateFeaturesOperationMetadata) Reset()
func (*BatchCreateFeaturesOperationMetadata) String
func (x *BatchCreateFeaturesOperationMetadata) String() string
BatchCreateFeaturesRequest
type BatchCreateFeaturesRequest struct {
// Required. The resource name of the EntityType to create the batch of
// Features under. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The request message specifying the Features to create. All
// Features must be created under the same parent EntityType. The `parent`
// field in each child request message can be omitted. If `parent` is set in a
// child request, then the value must match the `parent` value in this request
// message.
Requests []*CreateFeatureRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
func (*BatchCreateFeaturesRequest) Descriptor
func (*BatchCreateFeaturesRequest) Descriptor() ([]byte, []int)
Deprecated: Use BatchCreateFeaturesRequest.ProtoReflect.Descriptor instead.
func (*BatchCreateFeaturesRequest) GetParent
func (x *BatchCreateFeaturesRequest) GetParent() string
func (*BatchCreateFeaturesRequest) GetRequests
func (x *BatchCreateFeaturesRequest) GetRequests() []*CreateFeatureRequest
func (*BatchCreateFeaturesRequest) ProtoMessage
func (*BatchCreateFeaturesRequest) ProtoMessage()
func (*BatchCreateFeaturesRequest) ProtoReflect
func (x *BatchCreateFeaturesRequest) ProtoReflect() protoreflect.Message
func (*BatchCreateFeaturesRequest) Reset
func (x *BatchCreateFeaturesRequest) Reset()
func (*BatchCreateFeaturesRequest) String
func (x *BatchCreateFeaturesRequest) String() string
BatchCreateFeaturesResponse
type BatchCreateFeaturesResponse struct {
// The Features created.
Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
// contains filtered or unexported fields
}
Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
func (*BatchCreateFeaturesResponse) Descriptor
func (*BatchCreateFeaturesResponse) Descriptor() ([]byte, []int)
Deprecated: Use BatchCreateFeaturesResponse.ProtoReflect.Descriptor instead.
func (*BatchCreateFeaturesResponse) GetFeatures
func (x *BatchCreateFeaturesResponse) GetFeatures() []*Feature
func (*BatchCreateFeaturesResponse) ProtoMessage
func (*BatchCreateFeaturesResponse) ProtoMessage()
func (*BatchCreateFeaturesResponse) ProtoReflect
func (x *BatchCreateFeaturesResponse) ProtoReflect() protoreflect.Message
func (*BatchCreateFeaturesResponse) Reset
func (x *BatchCreateFeaturesResponse) Reset()
func (*BatchCreateFeaturesResponse) String
func (x *BatchCreateFeaturesResponse) String() string
BatchCreateTensorboardRunsRequest
type BatchCreateTensorboardRunsRequest struct {
// Required. The resource name of the TensorboardExperiment to create the
// TensorboardRuns in. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
// The parent field in the CreateTensorboardRunRequest messages must match
// this field.
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The request message specifying the TensorboardRuns to create.
// A maximum of 1000 TensorboardRuns can be created in a batch.
Requests []*CreateTensorboardRunRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
func (*BatchCreateTensorboardRunsRequest) Descriptor
func (*BatchCreateTensorboardRunsRequest) Descriptor() ([]byte, []int)
Deprecated: Use BatchCreateTensorboardRunsRequest.ProtoReflect.Descriptor instead.
func (*BatchCreateTensorboardRunsRequest) GetParent
func (x *BatchCreateTensorboardRunsRequest) GetParent() string
func (*BatchCreateTensorboardRunsRequest) GetRequests
func (x *BatchCreateTensorboardRunsRequest) GetRequests() []*CreateTensorboardRunRequest
func (*BatchCreateTensorboardRunsRequest) ProtoMessage
func (*BatchCreateTensorboardRunsRequest) ProtoMessage()
func (*BatchCreateTensorboardRunsRequest) ProtoReflect
func (x *BatchCreateTensorboardRunsRequest) ProtoReflect() protoreflect.Message
func (*BatchCreateTensorboardRunsRequest) Reset
func (x *BatchCreateTensorboardRunsRequest) Reset()
func (*BatchCreateTensorboardRunsRequest) String
func (x *BatchCreateTensorboardRunsRequest) String() string
BatchCreateTensorboardRunsResponse
type BatchCreateTensorboardRunsResponse struct {
// The created TensorboardRuns.
TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"`
// contains filtered or unexported fields
}
Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
func (*BatchCreateTensorboardRunsResponse) Descriptor
func (*BatchCreateTensorboardRunsResponse) Descriptor() ([]byte, []int)
Deprecated: Use BatchCreateTensorboardRunsResponse.ProtoReflect.Descriptor instead.
func (*BatchCreateTensorboardRunsResponse) GetTensorboardRuns
func (x *BatchCreateTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun
func (*BatchCreateTensorboardRunsResponse) ProtoMessage
func (*BatchCreateTensorboardRunsResponse) ProtoMessage()
func (*BatchCreateTensorboardRunsResponse) ProtoReflect
func (x *BatchCreateTensorboardRunsResponse) ProtoReflect() protoreflect.Message
func (*BatchCreateTensorboardRunsResponse) Reset
func (x *BatchCreateTensorboardRunsResponse) Reset()
func (*BatchCreateTensorboardRunsResponse) String
func (x *BatchCreateTensorboardRunsResponse) String() string
BatchCreateTensorboardTimeSeriesRequest
type BatchCreateTensorboardTimeSeriesRequest struct {
// Required. The resource name of the TensorboardExperiment to create the
// TensorboardTimeSeries in.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
// The TensorboardRuns referenced by the parent fields in the
// CreateTensorboardTimeSeriesRequest messages must be sub resources of this
// TensorboardExperiment.
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The request message specifying the TensorboardTimeSeries to
// create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
Requests []*CreateTensorboardTimeSeriesRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
func (*BatchCreateTensorboardTimeSeriesRequest) Descriptor
func (*BatchCreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)
Deprecated: Use BatchCreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
func (*BatchCreateTensorboardTimeSeriesRequest) GetParent
func (x *BatchCreateTensorboardTimeSeriesRequest) GetParent() string
func (*BatchCreateTensorboardTimeSeriesRequest) GetRequests
func (x *BatchCreateTensorboardTimeSeriesRequest) GetRequests() []*CreateTensorboardTimeSeriesRequest
func (*BatchCreateTensorboardTimeSeriesRequest) ProtoMessage
func (*BatchCreateTensorboardTimeSeriesRequest) ProtoMessage()
func (*BatchCreateTensorboardTimeSeriesRequest) ProtoReflect
func (x *BatchCreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message
func (*BatchCreateTensorboardTimeSeriesRequest) Reset
func (x *BatchCreateTensorboardTimeSeriesRequest) Reset()
func (*BatchCreateTensorboardTimeSeriesRequest) String
func (x *BatchCreateTensorboardTimeSeriesRequest) String() string
BatchCreateTensorboardTimeSeriesResponse
type BatchCreateTensorboardTimeSeriesResponse struct {
// The created TensorboardTimeSeries.
TensorboardTimeSeries []*TensorboardTimeSeries `protobuf:"bytes,1,rep,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
// contains filtered or unexported fields
}
Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
func (*BatchCreateTensorboardTimeSeriesResponse) Descriptor
func (*BatchCreateTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int)
Deprecated: Use BatchCreateTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead.
func (*BatchCreateTensorboardTimeSeriesResponse) GetTensorboardTimeSeries
func (x *BatchCreateTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries
func (*BatchCreateTensorboardTimeSeriesResponse) ProtoMessage
func (*BatchCreateTensorboardTimeSeriesResponse) ProtoMessage()
func (*BatchCreateTensorboardTimeSeriesResponse) ProtoReflect
func (x *BatchCreateTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message
func (*BatchCreateTensorboardTimeSeriesResponse) Reset
func (x *BatchCreateTensorboardTimeSeriesResponse) Reset()
func (*BatchCreateTensorboardTimeSeriesResponse) String
func (x *BatchCreateTensorboardTimeSeriesResponse) String() string
BatchDedicatedResources
type BatchDedicatedResources struct {
// Required. Immutable. The specification of a single machine.
MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
// Immutable. The number of machine replicas used at the start of the batch
// operation. If not set, Vertex AI decides starting number, not greater than
// [max_replica_count][google.cloud.aiplatform.v1.BatchDedicatedResources.max_replica_count]
StartingReplicaCount int32 `protobuf:"varint,2,opt,name=starting_replica_count,json=startingReplicaCount,proto3" json:"starting_replica_count,omitempty"`
// Immutable. The maximum number of machine replicas the batch operation may
// be scaled to. The default value is 10.
MaxReplicaCount int32 `protobuf:"varint,3,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
// contains filtered or unexported fields
}
A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.
func (*BatchDedicatedResources) Descriptor
func (*BatchDedicatedResources) Descriptor() ([]byte, []int)
Deprecated: Use BatchDedicatedResources.ProtoReflect.Descriptor instead.
func (*BatchDedicatedResources) GetMachineSpec
func (x *BatchDedicatedResources) GetMachineSpec() *MachineSpec
func (*BatchDedicatedResources) GetMaxReplicaCount
func (x *BatchDedicatedResources) GetMaxReplicaCount() int32
func (*BatchDedicatedResources) GetStartingReplicaCount
func (x *BatchDedicatedResources) GetStartingReplicaCount() int32
func (*BatchDedicatedResources) ProtoMessage
func (*BatchDedicatedResources) ProtoMessage()
func (*BatchDedicatedResources) ProtoReflect
func (x *BatchDedicatedResources) ProtoReflect() protoreflect.Message
func (*BatchDedicatedResources) Reset
func (x *BatchDedicatedResources) Reset()
func (*BatchDedicatedResources) String
func (x *BatchDedicatedResources) String() string
BatchImportModelEvaluationSlicesRequest
type BatchImportModelEvaluationSlicesRequest struct {
// Required. The name of the parent ModelEvaluation resource.
// Format:
// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. Model evaluation slice resource to be imported.
ModelEvaluationSlices []*ModelEvaluationSlice `protobuf:"bytes,2,rep,name=model_evaluation_slices,json=modelEvaluationSlices,proto3" json:"model_evaluation_slices,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
func (*BatchImportModelEvaluationSlicesRequest) Descriptor
func (*BatchImportModelEvaluationSlicesRequest) Descriptor() ([]byte, []int)
Deprecated: Use BatchImportModelEvaluationSlicesRequest.ProtoReflect.Descriptor instead.
func (*BatchImportModelEvaluationSlicesRequest) GetModelEvaluationSlices
func (x *BatchImportModelEvaluationSlicesRequest) GetModelEvaluationSlices() []*ModelEvaluationSlice
func (*BatchImportModelEvaluationSlicesRequest) GetParent
func (x *BatchImportModelEvaluationSlicesRequest) GetParent() string
func (*BatchImportModelEvaluationSlicesRequest) ProtoMessage
func (*BatchImportModelEvaluationSlicesRequest) ProtoMessage()
func (*BatchImportModelEvaluationSlicesRequest) ProtoReflect
func (x *BatchImportModelEvaluationSlicesRequest) ProtoReflect() protoreflect.Message
func (*BatchImportModelEvaluationSlicesRequest) Reset
func (x *BatchImportModelEvaluationSlicesRequest) Reset()
func (*BatchImportModelEvaluationSlicesRequest) String
func (x *BatchImportModelEvaluationSlicesRequest) String() string
BatchImportModelEvaluationSlicesResponse
type BatchImportModelEvaluationSlicesResponse struct {
ImportedModelEvaluationSlices []string "" /* 152 byte string literal not displayed */
}
Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
func (*BatchImportModelEvaluationSlicesResponse) Descriptor
func (*BatchImportModelEvaluationSlicesResponse) Descriptor() ([]byte, []int)
Deprecated: Use BatchImportModelEvaluationSlicesResponse.ProtoReflect.Descriptor instead.
func (*BatchImportModelEvaluationSlicesResponse) GetImportedModelEvaluationSlices
func (x *BatchImportModelEvaluationSlicesResponse) GetImportedModelEvaluationSlices() []string
func (*BatchImportModelEvaluationSlicesResponse) ProtoMessage
func (*BatchImportModelEvaluationSlicesResponse) ProtoMessage()
func (*BatchImportModelEvaluationSlicesResponse) ProtoReflect
func (x *BatchImportModelEvaluationSlicesResponse) ProtoReflect() protoreflect.Message
func (*BatchImportModelEvaluationSlicesResponse) Reset
func (x *BatchImportModelEvaluationSlicesResponse) Reset()
func (*BatchImportModelEvaluationSlicesResponse) String
func (x *BatchImportModelEvaluationSlicesResponse) String() string
BatchMigrateResourcesOperationMetadata
type BatchMigrateResourcesOperationMetadata struct {
// The common part of the operation metadata.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// Partial results that reflect the latest migration operation progress.
PartialResults []*BatchMigrateResourcesOperationMetadata_PartialResult `protobuf:"bytes,2,rep,name=partial_results,json=partialResults,proto3" json:"partial_results,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
func (*BatchMigrateResourcesOperationMetadata) Descriptor
func (*BatchMigrateResourcesOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use BatchMigrateResourcesOperationMetadata.ProtoReflect.Descriptor instead.
func (*BatchMigrateResourcesOperationMetadata) GetGenericMetadata
func (x *BatchMigrateResourcesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*BatchMigrateResourcesOperationMetadata) GetPartialResults
func (x *BatchMigrateResourcesOperationMetadata) GetPartialResults() []*BatchMigrateResourcesOperationMetadata_PartialResult
func (*BatchMigrateResourcesOperationMetadata) ProtoMessage
func (*BatchMigrateResourcesOperationMetadata) ProtoMessage()
func (*BatchMigrateResourcesOperationMetadata) ProtoReflect
func (x *BatchMigrateResourcesOperationMetadata) ProtoReflect() protoreflect.Message
func (*BatchMigrateResourcesOperationMetadata) Reset
func (x *BatchMigrateResourcesOperationMetadata) Reset()
func (*BatchMigrateResourcesOperationMetadata) String
func (x *BatchMigrateResourcesOperationMetadata) String() string
BatchMigrateResourcesOperationMetadata_PartialResult
type BatchMigrateResourcesOperationMetadata_PartialResult struct {
// If the resource's migration is ongoing, none of the result will be set.
// If the resource's migration is finished, either error or one of the
// migrated resource name will be filled.
//
// Types that are assignable to Result:
// *BatchMigrateResourcesOperationMetadata_PartialResult_Error
// *BatchMigrateResourcesOperationMetadata_PartialResult_Model
// *BatchMigrateResourcesOperationMetadata_PartialResult_Dataset
Result isBatchMigrateResourcesOperationMetadata_PartialResult_Result `protobuf_oneof:"result"`
// It's the same as the value in
// [MigrateResourceRequest.migrate_resource_requests][].
Request *MigrateResourceRequest `protobuf:"bytes,1,opt,name=request,proto3" json:"request,omitempty"`
// contains filtered or unexported fields
}
Represents a partial result in batch migration operation for one [MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
func (*BatchMigrateResourcesOperationMetadata_PartialResult) Descriptor
func (*BatchMigrateResourcesOperationMetadata_PartialResult) Descriptor() ([]byte, []int)
Deprecated: Use BatchMigrateResourcesOperationMetadata_PartialResult.ProtoReflect.Descriptor instead.
func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset() string
func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetError
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetError() *status.Status
func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetModel
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetModel() string
func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetRequest
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetRequest() *MigrateResourceRequest
func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetResult
func (m *BatchMigrateResourcesOperationMetadata_PartialResult) GetResult() isBatchMigrateResourcesOperationMetadata_PartialResult_Result
func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoMessage
func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoMessage()
func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoReflect
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) ProtoReflect() protoreflect.Message
func (*BatchMigrateResourcesOperationMetadata_PartialResult) Reset
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) Reset()
func (*BatchMigrateResourcesOperationMetadata_PartialResult) String
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) String() string
BatchMigrateResourcesOperationMetadata_PartialResult_Dataset
type BatchMigrateResourcesOperationMetadata_PartialResult_Dataset struct {
// Migrated dataset resource name.
Dataset string `protobuf:"bytes,4,opt,name=dataset,proto3,oneof"`
}
BatchMigrateResourcesOperationMetadata_PartialResult_Error
type BatchMigrateResourcesOperationMetadata_PartialResult_Error struct {
// The error result of the migration request in case of failure.
Error *status.Status `protobuf:"bytes,2,opt,name=error,proto3,oneof"`
}
BatchMigrateResourcesOperationMetadata_PartialResult_Model
type BatchMigrateResourcesOperationMetadata_PartialResult_Model struct {
// Migrated model resource name.
Model string `protobuf:"bytes,3,opt,name=model,proto3,oneof"`
}
BatchMigrateResourcesRequest
type BatchMigrateResourcesRequest struct {
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
MigrateResourceRequests []*MigrateResourceRequest "" /* 132 byte string literal not displayed */
}
Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
func (*BatchMigrateResourcesRequest) Descriptor
func (*BatchMigrateResourcesRequest) Descriptor() ([]byte, []int)
Deprecated: Use BatchMigrateResourcesRequest.ProtoReflect.Descriptor instead.
func (*BatchMigrateResourcesRequest) GetMigrateResourceRequests
func (x *BatchMigrateResourcesRequest) GetMigrateResourceRequests() []*MigrateResourceRequest
func (*BatchMigrateResourcesRequest) GetParent
func (x *BatchMigrateResourcesRequest) GetParent() string
func (*BatchMigrateResourcesRequest) ProtoMessage
func (*BatchMigrateResourcesRequest) ProtoMessage()
func (*BatchMigrateResourcesRequest) ProtoReflect
func (x *BatchMigrateResourcesRequest) ProtoReflect() protoreflect.Message
func (*BatchMigrateResourcesRequest) Reset
func (x *BatchMigrateResourcesRequest) Reset()
func (*BatchMigrateResourcesRequest) String
func (x *BatchMigrateResourcesRequest) String() string
BatchMigrateResourcesResponse
type BatchMigrateResourcesResponse struct {
MigrateResourceResponses []*MigrateResourceResponse "" /* 135 byte string literal not displayed */
}
Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
func (*BatchMigrateResourcesResponse) Descriptor
func (*BatchMigrateResourcesResponse) Descriptor() ([]byte, []int)
Deprecated: Use BatchMigrateResourcesResponse.ProtoReflect.Descriptor instead.
func (*BatchMigrateResourcesResponse) GetMigrateResourceResponses
func (x *BatchMigrateResourcesResponse) GetMigrateResourceResponses() []*MigrateResourceResponse
func (*BatchMigrateResourcesResponse) ProtoMessage
func (*BatchMigrateResourcesResponse) ProtoMessage()
func (*BatchMigrateResourcesResponse) ProtoReflect
func (x *BatchMigrateResourcesResponse) ProtoReflect() protoreflect.Message
func (*BatchMigrateResourcesResponse) Reset
func (x *BatchMigrateResourcesResponse) Reset()
func (*BatchMigrateResourcesResponse) String
func (x *BatchMigrateResourcesResponse) String() string
BatchPredictionJob
type BatchPredictionJob struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
ModelVersionId string `protobuf:"bytes,30,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
UnmanagedContainerModel *UnmanagedContainerModel "" /* 133 byte string literal not displayed */
InputConfig *BatchPredictionJob_InputConfig `protobuf:"bytes,4,opt,name=input_config,json=inputConfig,proto3" json:"input_config,omitempty"`
InstanceConfig *BatchPredictionJob_InstanceConfig `protobuf:"bytes,27,opt,name=instance_config,json=instanceConfig,proto3" json:"instance_config,omitempty"`
ModelParameters *structpb.Value `protobuf:"bytes,5,opt,name=model_parameters,json=modelParameters,proto3" json:"model_parameters,omitempty"`
OutputConfig *BatchPredictionJob_OutputConfig `protobuf:"bytes,6,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
DedicatedResources *BatchDedicatedResources `protobuf:"bytes,7,opt,name=dedicated_resources,json=dedicatedResources,proto3" json:"dedicated_resources,omitempty"`
ServiceAccount string `protobuf:"bytes,29,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
ManualBatchTuningParameters *ManualBatchTuningParameters "" /* 146 byte string literal not displayed */
GenerateExplanation bool `protobuf:"varint,23,opt,name=generate_explanation,json=generateExplanation,proto3" json:"generate_explanation,omitempty"`
ExplanationSpec *ExplanationSpec `protobuf:"bytes,25,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
OutputInfo *BatchPredictionJob_OutputInfo `protobuf:"bytes,9,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"`
State JobState `protobuf:"varint,10,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
Error *status.Status `protobuf:"bytes,11,opt,name=error,proto3" json:"error,omitempty"`
PartialFailures []*status.Status `protobuf:"bytes,12,rep,name=partial_failures,json=partialFailures,proto3" json:"partial_failures,omitempty"`
ResourcesConsumed *ResourcesConsumed `protobuf:"bytes,13,opt,name=resources_consumed,json=resourcesConsumed,proto3" json:"resources_consumed,omitempty"`
CompletionStats *CompletionStats `protobuf:"bytes,14,opt,name=completion_stats,json=completionStats,proto3" json:"completion_stats,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,15,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
StartTime *timestamppb.Timestamp `protobuf:"bytes,16,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,17,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,18,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
EncryptionSpec *EncryptionSpec `protobuf:"bytes,24,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
}
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) GetDisplayName
func (x *BatchPredictionJob) GetDisplayName() string
func (*BatchPredictionJob) GetEncryptionSpec
func (x *BatchPredictionJob) GetEncryptionSpec() *EncryptionSpec
func (*BatchPredictionJob) GetEndTime
func (x *BatchPredictionJob) GetEndTime() *timestamppb.Timestamp
func (*BatchPredictionJob) GetError
func (x *BatchPredictionJob) GetError() *status.Status
func (*BatchPredictionJob) GetExplanationSpec
func (x *BatchPredictionJob) GetExplanationSpec() *ExplanationSpec
func (*BatchPredictionJob) GetGenerateExplanation
func (x *BatchPredictionJob) GetGenerateExplanation() bool
func (*BatchPredictionJob) GetInputConfig
func (x *BatchPredictionJob) GetInputConfig() *BatchPredictionJob_InputConfig
func (*BatchPredictionJob) GetInstanceConfig
func (x *BatchPredictionJob) GetInstanceConfig() *BatchPredictionJob_InstanceConfig
func (*BatchPredictionJob) GetLabels
func (x *BatchPredictionJob) GetLabels() map[string]string
func (*BatchPredictionJob) GetManualBatchTuningParameters
func (x *BatchPredictionJob) GetManualBatchTuningParameters() *ManualBatchTuningParameters
func (*BatchPredictionJob) GetModel
func (x *BatchPredictionJob) GetModel() string
func (*BatchPredictionJob) GetModelParameters
func (x *BatchPredictionJob) GetModelParameters() *structpb.Value
func (*BatchPredictionJob) GetModelVersionId
func (x *BatchPredictionJob) GetModelVersionId() string
func (*BatchPredictionJob) GetName
func (x *BatchPredictionJob) GetName() string
func (*BatchPredictionJob) GetOutputConfig
func (x *BatchPredictionJob) GetOutputConfig() *BatchPredictionJob_OutputConfig
func (*BatchPredictionJob) GetOutputInfo
func (x *BatchPredictionJob) GetOutputInfo() *BatchPredictionJob_OutputInfo
func (*BatchPredictionJob) GetPartialFailures
func (x *BatchPredictionJob) GetPartialFailures() []*status.Status
func (*BatchPredictionJob) GetResourcesConsumed
func (x *BatchPredictionJob) GetResourcesConsumed() *ResourcesConsumed
func (*BatchPredictionJob) GetServiceAccount
func (x *BatchPredictionJob) GetServiceAccount() string
func (*BatchPredictionJob) GetStartTime
func (x *BatchPredictionJob) GetStartTime() *timestamppb.Timestamp
func (*BatchPredictionJob) GetState
func (x *BatchPredictionJob) GetState() JobState
func (*BatchPredictionJob) GetUnmanagedContainerModel
func (x *BatchPredictionJob) GetUnmanagedContainerModel() *UnmanagedContainerModel
func (*BatchPredictionJob) GetUpdateTime
func (x *BatchPredictionJob) GetUpdateTime() *timestamppb.Timestamp
func (*BatchPredictionJob) ProtoMessage
func (*BatchPredictionJob) ProtoMessage()
func (*BatchPredictionJob) ProtoReflect
func (x *BatchPredictionJob) ProtoReflect() protoreflect.Message
func (*BatchPredictionJob) Reset
func (x *BatchPredictionJob) Reset()
func (*BatchPredictionJob) String
func (x *BatchPredictionJob) String() string
BatchPredictionJob_InputConfig
type BatchPredictionJob_InputConfig struct {
// Required. The source of the input.
//
// Types that are assignable to Source:
// *BatchPredictionJob_InputConfig_GcsSource
// *BatchPredictionJob_InputConfig_BigquerySource
Source isBatchPredictionJob_InputConfig_Source `protobuf_oneof:"source"`
// Required. The format in which instances are given, must be one of the
// [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
// [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
InstancesFormat string `protobuf:"bytes,1,opt,name=instances_format,json=instancesFormat,proto3" json:"instances_format,omitempty"`
// contains filtered or unexported fields
}
Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats] for Model's supported input formats, and how instances should be expressed via any of them.
func (*BatchPredictionJob_InputConfig) Descriptor
func (*BatchPredictionJob_InputConfig) Descriptor() ([]byte, []int)
Deprecated: Use BatchPredictionJob_InputConfig.ProtoReflect.Descriptor instead.
func (*BatchPredictionJob_InputConfig) GetBigquerySource
func (x *BatchPredictionJob_InputConfig) GetBigquerySource() *BigQuerySource
func (*BatchPredictionJob_InputConfig) GetGcsSource
func (x *BatchPredictionJob_InputConfig) GetGcsSource() *GcsSource
func (*BatchPredictionJob_InputConfig) GetInstancesFormat
func (x *BatchPredictionJob_InputConfig) GetInstancesFormat() string
func (*BatchPredictionJob_InputConfig) GetSource
func (m *BatchPredictionJob_InputConfig) GetSource() isBatchPredictionJob_InputConfig_Source
func (*BatchPredictionJob_InputConfig) ProtoMessage
func (*BatchPredictionJob_InputConfig) ProtoMessage()
func (*BatchPredictionJob_InputConfig) ProtoReflect
func (x *BatchPredictionJob_InputConfig) ProtoReflect() protoreflect.Message
func (*BatchPredictionJob_InputConfig) Reset
func (x *BatchPredictionJob_InputConfig) Reset()
func (*BatchPredictionJob_InputConfig) String
func (x *BatchPredictionJob_InputConfig) String() string
BatchPredictionJob_InputConfig_BigquerySource
type BatchPredictionJob_InputConfig_BigquerySource struct {
// The BigQuery location of the input table.
// The schema of the table should be in the format described by the given
// context OpenAPI Schema, if one is provided. The table may contain
// additional columns that are not described by the schema, and they will
// be ignored.
BigquerySource *BigQuerySource `protobuf:"bytes,3,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}
BatchPredictionJob_InputConfig_GcsSource
type BatchPredictionJob_InputConfig_GcsSource struct {
// The Cloud Storage location for the input instances.
GcsSource *GcsSource `protobuf:"bytes,2,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}
BatchPredictionJob_InstanceConfig
type BatchPredictionJob_InstanceConfig struct {
// The format of the instance that the Model accepts. Vertex AI will
// convert compatible
// [batch prediction input instance
// formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
// to the specified format.
//
// Supported values are:
//
// * `object`: Each input is converted to JSON object format.
// * For `bigquery`, each row is converted to an object.
// * For `jsonl`, each line of the JSONL input must be an object.
// * Does not apply to `csv`, `file-list`, `tf-record`, or
// `tf-record-gzip`.
//
// * `array`: Each input is converted to JSON array format.
// * For `bigquery`, each row is converted to an array. The order
// of columns is determined by the BigQuery column order, unless
// [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
// is populated.
// [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
// must be populated for specifying field orders.
// * For `jsonl`, if each line of the JSONL input is an object,
// [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
// must be populated for specifying field orders.
// * Does not apply to `csv`, `file-list`, `tf-record`, or
// `tf-record-gzip`.
//
// If not specified, Vertex AI converts the batch prediction input as
// follows:
//
// * For `bigquery` and `csv`, the behavior is the same as `array`. The
// order of columns is the same as defined in the file or table, unless
// [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
// is populated.
// * For `jsonl`, the prediction instance format is determined by
// each line of the input.
// * For `tf-record`/`tf-record-gzip`, each record will be converted to
// an object in the format of `{"b64":
Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.
func (*BatchPredictionJob_InstanceConfig) Descriptor
func (*BatchPredictionJob_InstanceConfig) Descriptor() ([]byte, []int)
Deprecated: Use BatchPredictionJob_InstanceConfig.ProtoReflect.Descriptor instead.
func (*BatchPredictionJob_InstanceConfig) GetExcludedFields
func (x *BatchPredictionJob_InstanceConfig) GetExcludedFields() []string
func (*BatchPredictionJob_InstanceConfig) GetIncludedFields
func (x *BatchPredictionJob_InstanceConfig) GetIncludedFields() []string
func (*BatchPredictionJob_InstanceConfig) GetInstanceType
func (x *BatchPredictionJob_InstanceConfig) GetInstanceType() string
func (*BatchPredictionJob_InstanceConfig) GetKeyField
func (x *BatchPredictionJob_InstanceConfig) GetKeyField() string
func (*BatchPredictionJob_InstanceConfig) ProtoMessage
func (*BatchPredictionJob_InstanceConfig) ProtoMessage()
func (*BatchPredictionJob_InstanceConfig) ProtoReflect
func (x *BatchPredictionJob_InstanceConfig) ProtoReflect() protoreflect.Message
func (*BatchPredictionJob_InstanceConfig) Reset
func (x *BatchPredictionJob_InstanceConfig) Reset()
func (*BatchPredictionJob_InstanceConfig) String
func (x *BatchPredictionJob_InstanceConfig) String() string
BatchPredictionJob_OutputConfig
type BatchPredictionJob_OutputConfig struct {
// Required. The destination of the output.
//
// Types that are assignable to Destination:
// *BatchPredictionJob_OutputConfig_GcsDestination
// *BatchPredictionJob_OutputConfig_BigqueryDestination
Destination isBatchPredictionJob_OutputConfig_Destination `protobuf_oneof:"destination"`
// Required. The format in which Vertex AI gives the predictions, must be
// one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
// [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
PredictionsFormat string `protobuf:"bytes,1,opt,name=predictions_format,json=predictionsFormat,proto3" json:"predictions_format,omitempty"`
// contains filtered or unexported fields
}
Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats] for supported output formats, and how predictions are expressed via any of them.
func (*BatchPredictionJob_OutputConfig) Descriptor
func (*BatchPredictionJob_OutputConfig) Descriptor() ([]byte, []int)
Deprecated: Use BatchPredictionJob_OutputConfig.ProtoReflect.Descriptor instead.
func (*BatchPredictionJob_OutputConfig) GetBigqueryDestination
func (x *BatchPredictionJob_OutputConfig) GetBigqueryDestination() *BigQueryDestination
func (*BatchPredictionJob_OutputConfig) GetDestination
func (m *BatchPredictionJob_OutputConfig) GetDestination() isBatchPredictionJob_OutputConfig_Destination
func (*BatchPredictionJob_OutputConfig) GetGcsDestination
func (x *BatchPredictionJob_OutputConfig) GetGcsDestination() *GcsDestination
func (*BatchPredictionJob_OutputConfig) GetPredictionsFormat
func (x *BatchPredictionJob_OutputConfig) GetPredictionsFormat() string
func (*BatchPredictionJob_OutputConfig) ProtoMessage
func (*BatchPredictionJob_OutputConfig) ProtoMessage()
func (*BatchPredictionJob_OutputConfig) ProtoReflect
func (x *BatchPredictionJob_OutputConfig) ProtoReflect() protoreflect.Message
func (*BatchPredictionJob_OutputConfig) Reset
func (x *BatchPredictionJob_OutputConfig) Reset()
func (*BatchPredictionJob_OutputConfig) String
func (x *BatchPredictionJob_OutputConfig) String() string
BatchPredictionJob_OutputConfig_BigqueryDestination
type BatchPredictionJob_OutputConfig_BigqueryDestination struct {
// The BigQuery project or dataset location where the output is to be
// written to. If project is provided, a new dataset is created with name
// `prediction_
BatchPredictionJob_OutputConfig_GcsDestination
type BatchPredictionJob_OutputConfig_GcsDestination struct {
// The Cloud Storage location of the directory where the output is
// to be written to. In the given directory a new directory is created.
// Its name is `prediction-
BatchPredictionJob_OutputInfo
type BatchPredictionJob_OutputInfo struct {
// The output location into which prediction output is written.
//
// Types that are assignable to OutputLocation:
// *BatchPredictionJob_OutputInfo_GcsOutputDirectory
// *BatchPredictionJob_OutputInfo_BigqueryOutputDataset
OutputLocation isBatchPredictionJob_OutputInfo_OutputLocation `protobuf_oneof:"output_location"`
// Output only. The name of the BigQuery table created, in
// `predictions_
Further describes this job's output. Supplements [output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
func (*BatchPredictionJob_OutputInfo) Descriptor
func (*BatchPredictionJob_OutputInfo) Descriptor() ([]byte, []int)
Deprecated: Use BatchPredictionJob_OutputInfo.ProtoReflect.Descriptor instead.
func (*BatchPredictionJob_OutputInfo) GetBigqueryOutputDataset
func (x *BatchPredictionJob_OutputInfo) GetBigqueryOutputDataset() string
func (*BatchPredictionJob_OutputInfo) GetBigqueryOutputTable
func (x *BatchPredictionJob_OutputInfo) GetBigqueryOutputTable() string
func (*BatchPredictionJob_OutputInfo) GetGcsOutputDirectory
func (x *BatchPredictionJob_OutputInfo) GetGcsOutputDirectory() string
func (*BatchPredictionJob_OutputInfo) GetOutputLocation
func (m *BatchPredictionJob_OutputInfo) GetOutputLocation() isBatchPredictionJob_OutputInfo_OutputLocation
func (*BatchPredictionJob_OutputInfo) ProtoMessage
func (*BatchPredictionJob_OutputInfo) ProtoMessage()
func (*BatchPredictionJob_OutputInfo) ProtoReflect
func (x *BatchPredictionJob_OutputInfo) ProtoReflect() protoreflect.Message
func (*BatchPredictionJob_OutputInfo) Reset
func (x *BatchPredictionJob_OutputInfo) Reset()
func (*BatchPredictionJob_OutputInfo) String
func (x *BatchPredictionJob_OutputInfo) String() string
BatchPredictionJob_OutputInfo_BigqueryOutputDataset
type BatchPredictionJob_OutputInfo_BigqueryOutputDataset struct {
// Output only. The path of the BigQuery dataset created, in
// `bq://projectId.bqDatasetId`
// format, into which the prediction output is written.
BigqueryOutputDataset string `protobuf:"bytes,2,opt,name=bigquery_output_dataset,json=bigqueryOutputDataset,proto3,oneof"`
}
BatchPredictionJob_OutputInfo_GcsOutputDirectory
type BatchPredictionJob_OutputInfo_GcsOutputDirectory struct {
// Output only. The full path of the Cloud Storage directory created, into
// which the prediction output is written.
GcsOutputDirectory string `protobuf:"bytes,1,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3,oneof"`
}
BatchReadFeatureValuesOperationMetadata
type BatchReadFeatureValuesOperationMetadata struct {
// Operation metadata for Featurestore batch read Features values.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that batch reads Feature values.
func (*BatchReadFeatureValuesOperationMetadata) Descriptor
func (*BatchReadFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use BatchReadFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.
func (*BatchReadFeatureValuesOperationMetadata) GetGenericMetadata
func (x *BatchReadFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*BatchReadFeatureValuesOperationMetadata) ProtoMessage
func (*BatchReadFeatureValuesOperationMetadata) ProtoMessage()
func (*BatchReadFeatureValuesOperationMetadata) ProtoReflect
func (x *BatchReadFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message
func (*BatchReadFeatureValuesOperationMetadata) Reset
func (x *BatchReadFeatureValuesOperationMetadata) Reset()
func (*BatchReadFeatureValuesOperationMetadata) String
func (x *BatchReadFeatureValuesOperationMetadata) String() string
BatchReadFeatureValuesRequest
type BatchReadFeatureValuesRequest struct {
// Types that are assignable to ReadOption:
// *BatchReadFeatureValuesRequest_CsvReadInstances
// *BatchReadFeatureValuesRequest_BigqueryReadInstances
ReadOption isBatchReadFeatureValuesRequest_ReadOption `protobuf_oneof:"read_option"`
// Required. The resource name of the Featurestore from which to query Feature
// values. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
Featurestore string `protobuf:"bytes,1,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
// Required. Specifies output location and format.
Destination *FeatureValueDestination `protobuf:"bytes,4,opt,name=destination,proto3" json:"destination,omitempty"`
// When not empty, the specified fields in the *_read_instances source will be
// joined as-is in the output, in addition to those fields from the
// Featurestore Entity.
//
// For BigQuery source, the type of the pass-through values will be
// automatically inferred. For CSV source, the pass-through values will be
// passed as opaque bytes.
PassThroughFields []*BatchReadFeatureValuesRequest_PassThroughField `protobuf:"bytes,8,rep,name=pass_through_fields,json=passThroughFields,proto3" json:"pass_through_fields,omitempty"`
// Required. Specifies EntityType grouping Features to read values of and
// settings. Each EntityType referenced in
// [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
// specifying entity IDs in the EntityType in
// [BatchReadFeatureValuesRequest.request][] .
EntityTypeSpecs []*BatchReadFeatureValuesRequest_EntityTypeSpec `protobuf:"bytes,7,rep,name=entity_type_specs,json=entityTypeSpecs,proto3" json:"entity_type_specs,omitempty"`
// Optional. Excludes Feature values with feature generation timestamp before
// this timestamp. If not set, retrieve oldest values kept in Feature Store.
// Timestamp, if present, must not have higher than millisecond precision.
StartTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
func (*BatchReadFeatureValuesRequest) Descriptor
func (*BatchReadFeatureValuesRequest) Descriptor() ([]byte, []int)
Deprecated: Use BatchReadFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*BatchReadFeatureValuesRequest) GetBigqueryReadInstances
func (x *BatchReadFeatureValuesRequest) GetBigqueryReadInstances() *BigQuerySource
func (*BatchReadFeatureValuesRequest) GetCsvReadInstances
func (x *BatchReadFeatureValuesRequest) GetCsvReadInstances() *CsvSource
func (*BatchReadFeatureValuesRequest) GetDestination
func (x *BatchReadFeatureValuesRequest) GetDestination() *FeatureValueDestination
func (*BatchReadFeatureValuesRequest) GetEntityTypeSpecs
func (x *BatchReadFeatureValuesRequest) GetEntityTypeSpecs() []*BatchReadFeatureValuesRequest_EntityTypeSpec
func (*BatchReadFeatureValuesRequest) GetFeaturestore
func (x *BatchReadFeatureValuesRequest) GetFeaturestore() string
func (*BatchReadFeatureValuesRequest) GetPassThroughFields
func (x *BatchReadFeatureValuesRequest) GetPassThroughFields() []*BatchReadFeatureValuesRequest_PassThroughField
func (*BatchReadFeatureValuesRequest) GetReadOption
func (m *BatchReadFeatureValuesRequest) GetReadOption() isBatchReadFeatureValuesRequest_ReadOption
func (*BatchReadFeatureValuesRequest) GetStartTime
func (x *BatchReadFeatureValuesRequest) GetStartTime() *timestamppb.Timestamp
func (*BatchReadFeatureValuesRequest) ProtoMessage
func (*BatchReadFeatureValuesRequest) ProtoMessage()
func (*BatchReadFeatureValuesRequest) ProtoReflect
func (x *BatchReadFeatureValuesRequest) ProtoReflect() protoreflect.Message
func (*BatchReadFeatureValuesRequest) Reset
func (x *BatchReadFeatureValuesRequest) Reset()
func (*BatchReadFeatureValuesRequest) String
func (x *BatchReadFeatureValuesRequest) String() string
BatchReadFeatureValuesRequest_BigqueryReadInstances
type BatchReadFeatureValuesRequest_BigqueryReadInstances struct {
// Similar to csv_read_instances, but from BigQuery source.
BigqueryReadInstances *BigQuerySource `protobuf:"bytes,5,opt,name=bigquery_read_instances,json=bigqueryReadInstances,proto3,oneof"`
}
BatchReadFeatureValuesRequest_CsvReadInstances
type BatchReadFeatureValuesRequest_CsvReadInstances struct {
// Each read instance consists of exactly one read timestamp and one or more
// entity IDs identifying entities of the corresponding EntityTypes whose
// Features are requested.
//
// Each output instance contains Feature values of requested entities
// concatenated together as of the read time.
//
// An example read instance may be `foo_entity_id, bar_entity_id,
// 2020-01-01T10:00:00.123Z`.
//
// An example output instance may be `foo_entity_id, bar_entity_id,
// 2020-01-01T10:00:00.123Z, foo_entity_feature1_value,
// bar_entity_feature2_value`.
//
// Timestamp in each read instance must be millisecond-aligned.
//
// `csv_read_instances` are read instances stored in a plain-text CSV file.
// The header should be:
// [ENTITY_TYPE_ID1], [ENTITY_TYPE_ID2], ..., timestamp
//
// The columns can be in any order.
//
// Values in the timestamp column must use the RFC 3339 format, e.g.
// `2012-07-30T10:43:17.123Z`.
CsvReadInstances *CsvSource `protobuf:"bytes,3,opt,name=csv_read_instances,json=csvReadInstances,proto3,oneof"`
}
BatchReadFeatureValuesRequest_EntityTypeSpec
type BatchReadFeatureValuesRequest_EntityTypeSpec struct {
// Required. ID of the EntityType to select Features. The EntityType id is
// the
// [entity_type_id][google.cloud.aiplatform.v1.CreateEntityTypeRequest.entity_type_id]
// specified during EntityType creation.
EntityTypeId string `protobuf:"bytes,1,opt,name=entity_type_id,json=entityTypeId,proto3" json:"entity_type_id,omitempty"`
// Required. Selectors choosing which Feature values to read from the
// EntityType.
FeatureSelector *FeatureSelector `protobuf:"bytes,2,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
// Per-Feature settings for the batch read.
Settings []*DestinationFeatureSetting `protobuf:"bytes,3,rep,name=settings,proto3" json:"settings,omitempty"`
// contains filtered or unexported fields
}
Selects Features of an EntityType to read values of and specifies read settings.
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Descriptor
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Descriptor() ([]byte, []int)
Deprecated: Use BatchReadFeatureValuesRequest_EntityTypeSpec.ProtoReflect.Descriptor instead.
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetEntityTypeId
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetEntityTypeId() string
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetFeatureSelector
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetFeatureSelector() *FeatureSelector
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetSettings
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetSettings() []*DestinationFeatureSetting
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoMessage
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoMessage()
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoReflect
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoReflect() protoreflect.Message
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Reset
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) Reset()
func (*BatchReadFeatureValuesRequest_EntityTypeSpec) String
func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) String() string
BatchReadFeatureValuesRequest_PassThroughField
type BatchReadFeatureValuesRequest_PassThroughField struct {
// Required. The name of the field in the CSV header or the name of the
// column in BigQuery table. The naming restriction is the same as
// [Feature.name][google.cloud.aiplatform.v1.Feature.name].
FieldName string `protobuf:"bytes,1,opt,name=field_name,json=fieldName,proto3" json:"field_name,omitempty"`
// contains filtered or unexported fields
}
Describe pass-through fields in read_instance source.
func (*BatchReadFeatureValuesRequest_PassThroughField) Descriptor
func (*BatchReadFeatureValuesRequest_PassThroughField) Descriptor() ([]byte, []int)
Deprecated: Use BatchReadFeatureValuesRequest_PassThroughField.ProtoReflect.Descriptor instead.
func (*BatchReadFeatureValuesRequest_PassThroughField) GetFieldName
func (x *BatchReadFeatureValuesRequest_PassThroughField) GetFieldName() string
func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoMessage
func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoMessage()
func (*BatchReadFeatureValuesRequest_PassThroughField) ProtoReflect
func (x *BatchReadFeatureValuesRequest_PassThroughField) ProtoReflect() protoreflect.Message
func (*BatchReadFeatureValuesRequest_PassThroughField) Reset
func (x *BatchReadFeatureValuesRequest_PassThroughField) Reset()
func (*BatchReadFeatureValuesRequest_PassThroughField) String
func (x *BatchReadFeatureValuesRequest_PassThroughField) String() string
BatchReadFeatureValuesResponse
type BatchReadFeatureValuesResponse struct {
// contains filtered or unexported fields
}
Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
func (*BatchReadFeatureValuesResponse) Descriptor
func (*BatchReadFeatureValuesResponse) Descriptor() ([]byte, []int)
Deprecated: Use BatchReadFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*BatchReadFeatureValuesResponse) ProtoMessage
func (*BatchReadFeatureValuesResponse) ProtoMessage()
func (*BatchReadFeatureValuesResponse) ProtoReflect
func (x *BatchReadFeatureValuesResponse) ProtoReflect() protoreflect.Message
func (*BatchReadFeatureValuesResponse) Reset
func (x *BatchReadFeatureValuesResponse) Reset()
func (*BatchReadFeatureValuesResponse) String
func (x *BatchReadFeatureValuesResponse) String() string
BatchReadTensorboardTimeSeriesDataRequest
type BatchReadTensorboardTimeSeriesDataRequest struct {
// Required. The resource name of the Tensorboard containing
// TensorboardTimeSeries to read data from. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
// The TensorboardTimeSeries referenced by
// [time_series][google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
// must be sub resources of this Tensorboard.
Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
// Required. The resource names of the TensorboardTimeSeries to read data
// from. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
TimeSeries []string `protobuf:"bytes,2,rep,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].
func (*BatchReadTensorboardTimeSeriesDataRequest) Descriptor
func (*BatchReadTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)
Deprecated: Use BatchReadTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.
func (*BatchReadTensorboardTimeSeriesDataRequest) GetTensorboard
func (x *BatchReadTensorboardTimeSeriesDataRequest) GetTensorboard() string
func (*BatchReadTensorboardTimeSeriesDataRequest) GetTimeSeries
func (x *BatchReadTensorboardTimeSeriesDataRequest) GetTimeSeries() []string
func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoMessage
func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoMessage()
func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoReflect
func (x *BatchReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message
func (*BatchReadTensorboardTimeSeriesDataRequest) Reset
func (x *BatchReadTensorboardTimeSeriesDataRequest) Reset()
func (*BatchReadTensorboardTimeSeriesDataRequest) String
func (x *BatchReadTensorboardTimeSeriesDataRequest) String() string
BatchReadTensorboardTimeSeriesDataResponse
type BatchReadTensorboardTimeSeriesDataResponse struct {
// The returned time series data.
TimeSeriesData []*TimeSeriesData `protobuf:"bytes,1,rep,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
// contains filtered or unexported fields
}
Response message for [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].
func (*BatchReadTensorboardTimeSeriesDataResponse) Descriptor
func (*BatchReadTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)
Deprecated: Use BatchReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.
func (*BatchReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData
func (x *BatchReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() []*TimeSeriesData
func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoMessage
func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoMessage()
func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoReflect
func (x *BatchReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message
func (*BatchReadTensorboardTimeSeriesDataResponse) Reset
func (x *BatchReadTensorboardTimeSeriesDataResponse) Reset()
func (*BatchReadTensorboardTimeSeriesDataResponse) String
func (x *BatchReadTensorboardTimeSeriesDataResponse) String() string
BigQueryDestination
type BigQueryDestination struct {
// Required. BigQuery URI to a project or table, up to 2000 characters long.
//
// When only the project is specified, the Dataset and Table is created.
// When the full table reference is specified, the Dataset must exist and
// table must not exist.
//
// Accepted forms:
//
// * BigQuery path. For example:
// `bq://projectId` or `bq://projectId.bqDatasetId` or
// `bq://projectId.bqDatasetId.bqTableId`.
OutputUri string `protobuf:"bytes,1,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
// contains filtered or unexported fields
}
The BigQuery location for the output content.
func (*BigQueryDestination) Descriptor
func (*BigQueryDestination) Descriptor() ([]byte, []int)
Deprecated: Use BigQueryDestination.ProtoReflect.Descriptor instead.
func (*BigQueryDestination) GetOutputUri
func (x *BigQueryDestination) GetOutputUri() string
func (*BigQueryDestination) ProtoMessage
func (*BigQueryDestination) ProtoMessage()
func (*BigQueryDestination) ProtoReflect
func (x *BigQueryDestination) ProtoReflect() protoreflect.Message
func (*BigQueryDestination) Reset
func (x *BigQueryDestination) Reset()
func (*BigQueryDestination) String
func (x *BigQueryDestination) String() string
BigQuerySource
type BigQuerySource struct {
// Required. BigQuery URI to a table, up to 2000 characters long.
// Accepted forms:
//
// * BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
InputUri string `protobuf:"bytes,1,opt,name=input_uri,json=inputUri,proto3" json:"input_uri,omitempty"`
// contains filtered or unexported fields
}
The BigQuery location for the input content.
func (*BigQuerySource) Descriptor
func (*BigQuerySource) Descriptor() ([]byte, []int)
Deprecated: Use BigQuerySource.ProtoReflect.Descriptor instead.
func (*BigQuerySource) GetInputUri
func (x *BigQuerySource) GetInputUri() string
func (*BigQuerySource) ProtoMessage
func (*BigQuerySource) ProtoMessage()
func (*BigQuerySource) ProtoReflect
func (x *BigQuerySource) ProtoReflect() protoreflect.Message
func (*BigQuerySource) Reset
func (x *BigQuerySource) Reset()
func (*BigQuerySource) String
func (x *BigQuerySource) String() string
BlurBaselineConfig
type BlurBaselineConfig struct {
// The standard deviation of the blur kernel for the blurred baseline. The
// same blurring parameter is used for both the height and the width
// dimension. If not set, the method defaults to the zero (i.e. black for
// images) baseline.
MaxBlurSigma float32 `protobuf:"fixed32,1,opt,name=max_blur_sigma,json=maxBlurSigma,proto3" json:"max_blur_sigma,omitempty"`
// contains filtered or unexported fields
}
Config for blur baseline.
When enabled, a linear path from the maximally blurred image to the input image is created. Using a blurred baseline instead of zero (black image) is motivated by the BlurIG approach explained here: https://arxiv.org/abs/2004.03383
func (*BlurBaselineConfig) Descriptor
func (*BlurBaselineConfig) Descriptor() ([]byte, []int)
Deprecated: Use BlurBaselineConfig.ProtoReflect.Descriptor instead.
func (*BlurBaselineConfig) GetMaxBlurSigma
func (x *BlurBaselineConfig) GetMaxBlurSigma() float32
func (*BlurBaselineConfig) ProtoMessage
func (*BlurBaselineConfig) ProtoMessage()
func (*BlurBaselineConfig) ProtoReflect
func (x *BlurBaselineConfig) ProtoReflect() protoreflect.Message
func (*BlurBaselineConfig) Reset
func (x *BlurBaselineConfig) Reset()
func (*BlurBaselineConfig) String
func (x *BlurBaselineConfig) String() string
BoolArray
type BoolArray struct {
// A list of bool values.
Values []bool `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
// contains filtered or unexported fields
}
A list of boolean values.
func (*BoolArray) Descriptor
Deprecated: Use BoolArray.ProtoReflect.Descriptor instead.
func (*BoolArray) GetValues
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
CancelBatchPredictionJobRequest
type CancelBatchPredictionJobRequest struct {
// Required. The name of the BatchPredictionJob to cancel.
// Format:
// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
func (*CancelBatchPredictionJobRequest) Descriptor
func (*CancelBatchPredictionJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CancelBatchPredictionJobRequest.ProtoReflect.Descriptor instead.
func (*CancelBatchPredictionJobRequest) GetName
func (x *CancelBatchPredictionJobRequest) GetName() string
func (*CancelBatchPredictionJobRequest) ProtoMessage
func (*CancelBatchPredictionJobRequest) ProtoMessage()
func (*CancelBatchPredictionJobRequest) ProtoReflect
func (x *CancelBatchPredictionJobRequest) ProtoReflect() protoreflect.Message
func (*CancelBatchPredictionJobRequest) Reset
func (x *CancelBatchPredictionJobRequest) Reset()
func (*CancelBatchPredictionJobRequest) String
func (x *CancelBatchPredictionJobRequest) String() string
CancelCustomJobRequest
type CancelCustomJobRequest struct {
// Required. The name of the CustomJob to cancel.
// Format:
// `projects/{project}/locations/{location}/customJobs/{custom_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
func (*CancelCustomJobRequest) Descriptor
func (*CancelCustomJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CancelCustomJobRequest.ProtoReflect.Descriptor instead.
func (*CancelCustomJobRequest) GetName
func (x *CancelCustomJobRequest) GetName() string
func (*CancelCustomJobRequest) ProtoMessage
func (*CancelCustomJobRequest) ProtoMessage()
func (*CancelCustomJobRequest) ProtoReflect
func (x *CancelCustomJobRequest) ProtoReflect() protoreflect.Message
func (*CancelCustomJobRequest) Reset
func (x *CancelCustomJobRequest) Reset()
func (*CancelCustomJobRequest) String
func (x *CancelCustomJobRequest) String() string
CancelDataLabelingJobRequest
type CancelDataLabelingJobRequest struct {
// Required. The name of the DataLabelingJob.
// Format:
// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
func (*CancelDataLabelingJobRequest) Descriptor
func (*CancelDataLabelingJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CancelDataLabelingJobRequest.ProtoReflect.Descriptor instead.
func (*CancelDataLabelingJobRequest) GetName
func (x *CancelDataLabelingJobRequest) GetName() string
func (*CancelDataLabelingJobRequest) ProtoMessage
func (*CancelDataLabelingJobRequest) ProtoMessage()
func (*CancelDataLabelingJobRequest) ProtoReflect
func (x *CancelDataLabelingJobRequest) ProtoReflect() protoreflect.Message
func (*CancelDataLabelingJobRequest) Reset
func (x *CancelDataLabelingJobRequest) Reset()
func (*CancelDataLabelingJobRequest) String
func (x *CancelDataLabelingJobRequest) String() string
CancelHyperparameterTuningJobRequest
type CancelHyperparameterTuningJobRequest struct {
// Required. The name of the HyperparameterTuningJob to cancel.
// Format:
// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
func (*CancelHyperparameterTuningJobRequest) Descriptor
func (*CancelHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CancelHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.
func (*CancelHyperparameterTuningJobRequest) GetName
func (x *CancelHyperparameterTuningJobRequest) GetName() string
func (*CancelHyperparameterTuningJobRequest) ProtoMessage
func (*CancelHyperparameterTuningJobRequest) ProtoMessage()
func (*CancelHyperparameterTuningJobRequest) ProtoReflect
func (x *CancelHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message
func (*CancelHyperparameterTuningJobRequest) Reset
func (x *CancelHyperparameterTuningJobRequest) Reset()
func (*CancelHyperparameterTuningJobRequest) String
func (x *CancelHyperparameterTuningJobRequest) String() string
CancelNasJobRequest
type CancelNasJobRequest struct {
// Required. The name of the NasJob to cancel.
// Format:
// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.CancelNasJob][google.cloud.aiplatform.v1.JobService.CancelNasJob].
func (*CancelNasJobRequest) Descriptor
func (*CancelNasJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CancelNasJobRequest.ProtoReflect.Descriptor instead.
func (*CancelNasJobRequest) GetName
func (x *CancelNasJobRequest) GetName() string
func (*CancelNasJobRequest) ProtoMessage
func (*CancelNasJobRequest) ProtoMessage()
func (*CancelNasJobRequest) ProtoReflect
func (x *CancelNasJobRequest) ProtoReflect() protoreflect.Message
func (*CancelNasJobRequest) Reset
func (x *CancelNasJobRequest) Reset()
func (*CancelNasJobRequest) String
func (x *CancelNasJobRequest) String() string
CancelPipelineJobRequest
type CancelPipelineJobRequest struct {
// Required. The name of the PipelineJob to cancel.
// Format:
// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
func (*CancelPipelineJobRequest) Descriptor
func (*CancelPipelineJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CancelPipelineJobRequest.ProtoReflect.Descriptor instead.
func (*CancelPipelineJobRequest) GetName
func (x *CancelPipelineJobRequest) GetName() string
func (*CancelPipelineJobRequest) ProtoMessage
func (*CancelPipelineJobRequest) ProtoMessage()
func (*CancelPipelineJobRequest) ProtoReflect
func (x *CancelPipelineJobRequest) ProtoReflect() protoreflect.Message
func (*CancelPipelineJobRequest) Reset
func (x *CancelPipelineJobRequest) Reset()
func (*CancelPipelineJobRequest) String
func (x *CancelPipelineJobRequest) String() string
CancelTrainingPipelineRequest
type CancelTrainingPipelineRequest struct {
// Required. The name of the TrainingPipeline to cancel.
// Format:
// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
func (*CancelTrainingPipelineRequest) Descriptor
func (*CancelTrainingPipelineRequest) Descriptor() ([]byte, []int)
Deprecated: Use CancelTrainingPipelineRequest.ProtoReflect.Descriptor instead.
func (*CancelTrainingPipelineRequest) GetName
func (x *CancelTrainingPipelineRequest) GetName() string
func (*CancelTrainingPipelineRequest) ProtoMessage
func (*CancelTrainingPipelineRequest) ProtoMessage()
func (*CancelTrainingPipelineRequest) ProtoReflect
func (x *CancelTrainingPipelineRequest) ProtoReflect() protoreflect.Message
func (*CancelTrainingPipelineRequest) Reset
func (x *CancelTrainingPipelineRequest) Reset()
func (*CancelTrainingPipelineRequest) String
func (x *CancelTrainingPipelineRequest) String() string
CheckTrialEarlyStoppingStateMetatdata
type CheckTrialEarlyStoppingStateMetatdata struct {
// Operation metadata for suggesting Trials.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// The name of the Study that the Trial belongs to.
Study string `protobuf:"bytes,2,opt,name=study,proto3" json:"study,omitempty"`
// The Trial name.
Trial string `protobuf:"bytes,3,opt,name=trial,proto3" json:"trial,omitempty"`
// contains filtered or unexported fields
}
This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.
func (*CheckTrialEarlyStoppingStateMetatdata) Descriptor
func (*CheckTrialEarlyStoppingStateMetatdata) Descriptor() ([]byte, []int)
Deprecated: Use CheckTrialEarlyStoppingStateMetatdata.ProtoReflect.Descriptor instead.
func (*CheckTrialEarlyStoppingStateMetatdata) GetGenericMetadata
func (x *CheckTrialEarlyStoppingStateMetatdata) GetGenericMetadata() *GenericOperationMetadata
func (*CheckTrialEarlyStoppingStateMetatdata) GetStudy
func (x *CheckTrialEarlyStoppingStateMetatdata) GetStudy() string
func (*CheckTrialEarlyStoppingStateMetatdata) GetTrial
func (x *CheckTrialEarlyStoppingStateMetatdata) GetTrial() string
func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage
func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage()
func (*CheckTrialEarlyStoppingStateMetatdata) ProtoReflect
func (x *CheckTrialEarlyStoppingStateMetatdata) ProtoReflect() protoreflect.Message
func (*CheckTrialEarlyStoppingStateMetatdata) Reset
func (x *CheckTrialEarlyStoppingStateMetatdata) Reset()
func (*CheckTrialEarlyStoppingStateMetatdata) String
func (x *CheckTrialEarlyStoppingStateMetatdata) String() string
CheckTrialEarlyStoppingStateRequest
type CheckTrialEarlyStoppingStateRequest struct {
// Required. The Trial's name.
// Format:
// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
TrialName string `protobuf:"bytes,1,opt,name=trial_name,json=trialName,proto3" json:"trial_name,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
func (*CheckTrialEarlyStoppingStateRequest) Descriptor
func (*CheckTrialEarlyStoppingStateRequest) Descriptor() ([]byte, []int)
Deprecated: Use CheckTrialEarlyStoppingStateRequest.ProtoReflect.Descriptor instead.
func (*CheckTrialEarlyStoppingStateRequest) GetTrialName
func (x *CheckTrialEarlyStoppingStateRequest) GetTrialName() string
func (*CheckTrialEarlyStoppingStateRequest) ProtoMessage
func (*CheckTrialEarlyStoppingStateRequest) ProtoMessage()
func (*CheckTrialEarlyStoppingStateRequest) ProtoReflect
func (x *CheckTrialEarlyStoppingStateRequest) ProtoReflect() protoreflect.Message
func (*CheckTrialEarlyStoppingStateRequest) Reset
func (x *CheckTrialEarlyStoppingStateRequest) Reset()
func (*CheckTrialEarlyStoppingStateRequest) String
func (x *CheckTrialEarlyStoppingStateRequest) String() string
CheckTrialEarlyStoppingStateResponse
type CheckTrialEarlyStoppingStateResponse struct {
// True if the Trial should stop.
ShouldStop bool `protobuf:"varint,1,opt,name=should_stop,json=shouldStop,proto3" json:"should_stop,omitempty"`
// contains filtered or unexported fields
}
Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
func (*CheckTrialEarlyStoppingStateResponse) Descriptor
func (*CheckTrialEarlyStoppingStateResponse) Descriptor() ([]byte, []int)
Deprecated: Use CheckTrialEarlyStoppingStateResponse.ProtoReflect.Descriptor instead.
func (*CheckTrialEarlyStoppingStateResponse) GetShouldStop
func (x *CheckTrialEarlyStoppingStateResponse) GetShouldStop() bool
func (*CheckTrialEarlyStoppingStateResponse) ProtoMessage
func (*CheckTrialEarlyStoppingStateResponse) ProtoMessage()
func (*CheckTrialEarlyStoppingStateResponse) ProtoReflect
func (x *CheckTrialEarlyStoppingStateResponse) ProtoReflect() protoreflect.Message
func (*CheckTrialEarlyStoppingStateResponse) Reset
func (x *CheckTrialEarlyStoppingStateResponse) Reset()
func (*CheckTrialEarlyStoppingStateResponse) String
func (x *CheckTrialEarlyStoppingStateResponse) String() string
CompleteTrialRequest
type CompleteTrialRequest struct {
// Required. The Trial's name.
// Format:
// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Optional. If provided, it will be used as the completed Trial's
// final_measurement; Otherwise, the service will auto-select a
// previously reported measurement as the final-measurement
FinalMeasurement *Measurement `protobuf:"bytes,2,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`
// Optional. True if the Trial cannot be run with the given Parameter, and
// final_measurement will be ignored.
TrialInfeasible bool `protobuf:"varint,3,opt,name=trial_infeasible,json=trialInfeasible,proto3" json:"trial_infeasible,omitempty"`
// Optional. A human readable reason why the trial was infeasible. This should
// only be provided if `trial_infeasible` is true.
InfeasibleReason string `protobuf:"bytes,4,opt,name=infeasible_reason,json=infeasibleReason,proto3" json:"infeasible_reason,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
func (*CompleteTrialRequest) Descriptor
func (*CompleteTrialRequest) Descriptor() ([]byte, []int)
Deprecated: Use CompleteTrialRequest.ProtoReflect.Descriptor instead.
func (*CompleteTrialRequest) GetFinalMeasurement
func (x *CompleteTrialRequest) GetFinalMeasurement() *Measurement
func (*CompleteTrialRequest) GetInfeasibleReason
func (x *CompleteTrialRequest) GetInfeasibleReason() string
func (*CompleteTrialRequest) GetName
func (x *CompleteTrialRequest) GetName() string
func (*CompleteTrialRequest) GetTrialInfeasible
func (x *CompleteTrialRequest) GetTrialInfeasible() bool
func (*CompleteTrialRequest) ProtoMessage
func (*CompleteTrialRequest) ProtoMessage()
func (*CompleteTrialRequest) ProtoReflect
func (x *CompleteTrialRequest) ProtoReflect() protoreflect.Message
func (*CompleteTrialRequest) Reset
func (x *CompleteTrialRequest) Reset()
func (*CompleteTrialRequest) String
func (x *CompleteTrialRequest) String() string
CompletionStats
type CompletionStats struct {
SuccessfulCount int64 `protobuf:"varint,1,opt,name=successful_count,json=successfulCount,proto3" json:"successful_count,omitempty"`
FailedCount int64 `protobuf:"varint,2,opt,name=failed_count,json=failedCount,proto3" json:"failed_count,omitempty"`
IncompleteCount int64 `protobuf:"varint,3,opt,name=incomplete_count,json=incompleteCount,proto3" json:"incomplete_count,omitempty"`
SuccessfulForecastPointCount int64 "" /* 150 byte string literal not displayed */
}
Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.
func (*CompletionStats) Descriptor
func (*CompletionStats) Descriptor() ([]byte, []int)
Deprecated: Use CompletionStats.ProtoReflect.Descriptor instead.
func (*CompletionStats) GetFailedCount
func (x *CompletionStats) GetFailedCount() int64
func (*CompletionStats) GetIncompleteCount
func (x *CompletionStats) GetIncompleteCount() int64
func (*CompletionStats) GetSuccessfulCount
func (x *CompletionStats) GetSuccessfulCount() int64
func (*CompletionStats) GetSuccessfulForecastPointCount
func (x *CompletionStats) GetSuccessfulForecastPointCount() int64
func (*CompletionStats) ProtoMessage
func (*CompletionStats) ProtoMessage()
func (*CompletionStats) ProtoReflect
func (x *CompletionStats) ProtoReflect() protoreflect.Message
func (*CompletionStats) Reset
func (x *CompletionStats) Reset()
func (*CompletionStats) String
func (x *CompletionStats) String() string
ContainerRegistryDestination
type ContainerRegistryDestination struct {
// Required. Container Registry URI of a container image.
// Only Google Container Registry and Artifact Registry are supported now.
// Accepted forms:
//
// * Google Container Registry path. For example:
// `gcr.io/projectId/imageName:tag`.
//
// * Artifact Registry path. For example:
// `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
//
// If a tag is not specified, "latest" will be used as the default tag.
OutputUri string `protobuf:"bytes,1,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
// contains filtered or unexported fields
}
The Container Registry location for the container image.
func (*ContainerRegistryDestination) Descriptor
func (*ContainerRegistryDestination) Descriptor() ([]byte, []int)
Deprecated: Use ContainerRegistryDestination.ProtoReflect.Descriptor instead.
func (*ContainerRegistryDestination) GetOutputUri
func (x *ContainerRegistryDestination) GetOutputUri() string
func (*ContainerRegistryDestination) ProtoMessage
func (*ContainerRegistryDestination) ProtoMessage()
func (*ContainerRegistryDestination) ProtoReflect
func (x *ContainerRegistryDestination) ProtoReflect() protoreflect.Message
func (*ContainerRegistryDestination) Reset
func (x *ContainerRegistryDestination) Reset()
func (*ContainerRegistryDestination) String
func (x *ContainerRegistryDestination) String() string
ContainerSpec
type ContainerSpec struct {
// Required. The URI of a container image in the Container Registry that is to
// be run on each worker replica.
ImageUri string `protobuf:"bytes,1,opt,name=image_uri,json=imageUri,proto3" json:"image_uri,omitempty"`
// The command to be invoked when the container is started.
// It overrides the entrypoint instruction in Dockerfile when provided.
Command []string `protobuf:"bytes,2,rep,name=command,proto3" json:"command,omitempty"`
// The arguments to be passed when starting the container.
Args []string `protobuf:"bytes,3,rep,name=args,proto3" json:"args,omitempty"`
// Environment variables to be passed to the container.
// Maximum limit is 100.
Env []*EnvVar `protobuf:"bytes,4,rep,name=env,proto3" json:"env,omitempty"`
// contains filtered or unexported fields
}
The spec of a Container.
func (*ContainerSpec) Descriptor
func (*ContainerSpec) Descriptor() ([]byte, []int)
Deprecated: Use ContainerSpec.ProtoReflect.Descriptor instead.
func (*ContainerSpec) GetArgs
func (x *ContainerSpec) GetArgs() []string
func (*ContainerSpec) GetCommand
func (x *ContainerSpec) GetCommand() []string
func (*ContainerSpec) GetEnv
func (x *ContainerSpec) GetEnv() []*EnvVar
func (*ContainerSpec) GetImageUri
func (x *ContainerSpec) GetImageUri() string
func (*ContainerSpec) ProtoMessage
func (*ContainerSpec) ProtoMessage()
func (*ContainerSpec) ProtoReflect
func (x *ContainerSpec) ProtoReflect() protoreflect.Message
func (*ContainerSpec) Reset
func (x *ContainerSpec) Reset()
func (*ContainerSpec) String
func (x *ContainerSpec) String() string
Context
type Context struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
ParentContexts []string `protobuf:"bytes,12,rep,name=parent_contexts,json=parentContexts,proto3" json:"parent_contexts,omitempty"`
SchemaTitle string `protobuf:"bytes,13,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`
SchemaVersion string `protobuf:"bytes,14,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
Metadata *structpb.Struct `protobuf:"bytes,15,opt,name=metadata,proto3" json:"metadata,omitempty"`
Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`
}
Instance of a general context.
func (*Context) Descriptor
Deprecated: Use Context.ProtoReflect.Descriptor instead.
func (*Context) GetCreateTime
func (x *Context) GetCreateTime() *timestamppb.Timestamp
func (*Context) GetDescription
func (*Context) GetDisplayName
func (*Context) GetEtag
func (*Context) GetLabels
func (*Context) GetMetadata
func (*Context) GetName
func (*Context) GetParentContexts
func (*Context) GetSchemaTitle
func (*Context) GetSchemaVersion
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
CopyModelOperationMetadata
type CopyModelOperationMetadata struct {
// The common part of the operation metadata.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel] operation.
func (*CopyModelOperationMetadata) Descriptor
func (*CopyModelOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CopyModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*CopyModelOperationMetadata) GetGenericMetadata
func (x *CopyModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CopyModelOperationMetadata) ProtoMessage
func (*CopyModelOperationMetadata) ProtoMessage()
func (*CopyModelOperationMetadata) ProtoReflect
func (x *CopyModelOperationMetadata) ProtoReflect() protoreflect.Message
func (*CopyModelOperationMetadata) Reset
func (x *CopyModelOperationMetadata) Reset()
func (*CopyModelOperationMetadata) String
func (x *CopyModelOperationMetadata) String() string
CopyModelRequest
type CopyModelRequest struct {
// If both fields are unset, a new Model will be created with a generated ID.
//
// Types that are assignable to DestinationModel:
// *CopyModelRequest_ModelId
// *CopyModelRequest_ParentModel
DestinationModel isCopyModelRequest_DestinationModel `protobuf_oneof:"destination_model"`
// Required. The resource name of the Location into which to copy the Model.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The resource name of the Model to copy. That Model must be in the
// same Project. Format:
// `projects/{project}/locations/{location}/models/{model}`
SourceModel string `protobuf:"bytes,2,opt,name=source_model,json=sourceModel,proto3" json:"source_model,omitempty"`
// Customer-managed encryption key options. If this is set,
// then the Model copy will be encrypted with the provided encryption key.
EncryptionSpec *EncryptionSpec `protobuf:"bytes,3,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel].
func (*CopyModelRequest) Descriptor
func (*CopyModelRequest) Descriptor() ([]byte, []int)
Deprecated: Use CopyModelRequest.ProtoReflect.Descriptor instead.
func (*CopyModelRequest) GetDestinationModel
func (m *CopyModelRequest) GetDestinationModel() isCopyModelRequest_DestinationModel
func (*CopyModelRequest) GetEncryptionSpec
func (x *CopyModelRequest) GetEncryptionSpec() *EncryptionSpec
func (*CopyModelRequest) GetModelId
func (x *CopyModelRequest) GetModelId() string
func (*CopyModelRequest) GetParent
func (x *CopyModelRequest) GetParent() string
func (*CopyModelRequest) GetParentModel
func (x *CopyModelRequest) GetParentModel() string
func (*CopyModelRequest) GetSourceModel
func (x *CopyModelRequest) GetSourceModel() string
func (*CopyModelRequest) ProtoMessage
func (*CopyModelRequest) ProtoMessage()
func (*CopyModelRequest) ProtoReflect
func (x *CopyModelRequest) ProtoReflect() protoreflect.Message
func (*CopyModelRequest) Reset
func (x *CopyModelRequest) Reset()
func (*CopyModelRequest) String
func (x *CopyModelRequest) String() string
CopyModelRequest_ModelId
type CopyModelRequest_ModelId struct {
// Optional. Copy source_model into a new Model with this ID. The ID will
// become the final component of the model resource name.
//
// This value may be up to 63 characters, and valid characters are
// `[a-z0-9_-]`. The first character cannot be a number or hyphen.
ModelId string `protobuf:"bytes,4,opt,name=model_id,json=modelId,proto3,oneof"`
}
CopyModelRequest_ParentModel
type CopyModelRequest_ParentModel struct {
// Optional. Specify this field to copy source_model into this existing
// Model as a new version. Format:
// `projects/{project}/locations/{location}/models/{model}`
ParentModel string `protobuf:"bytes,5,opt,name=parent_model,json=parentModel,proto3,oneof"`
}
CopyModelResponse
type CopyModelResponse struct {
// The name of the copied Model resource.
// Format: `projects/{project}/locations/{location}/models/{model}`
Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
// Output only. The version ID of the model that is copied.
ModelVersionId string `protobuf:"bytes,2,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
// contains filtered or unexported fields
}
Response message of [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel] operation.
func (*CopyModelResponse) Descriptor
func (*CopyModelResponse) Descriptor() ([]byte, []int)
Deprecated: Use CopyModelResponse.ProtoReflect.Descriptor instead.
func (*CopyModelResponse) GetModel
func (x *CopyModelResponse) GetModel() string
func (*CopyModelResponse) GetModelVersionId
func (x *CopyModelResponse) GetModelVersionId() string
func (*CopyModelResponse) ProtoMessage
func (*CopyModelResponse) ProtoMessage()
func (*CopyModelResponse) ProtoReflect
func (x *CopyModelResponse) ProtoReflect() protoreflect.Message
func (*CopyModelResponse) Reset
func (x *CopyModelResponse) Reset()
func (*CopyModelResponse) String
func (x *CopyModelResponse) String() string
CreateArtifactRequest
type CreateArtifactRequest struct {
// Required. The resource name of the MetadataStore where the Artifact should
// be created.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Artifact to create.
Artifact *Artifact `protobuf:"bytes,2,opt,name=artifact,proto3" json:"artifact,omitempty"`
// The {artifact} portion of the resource name with the format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
// If not provided, the Artifact's ID will be a UUID generated by the service.
// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
// Must be unique across all Artifacts in the parent MetadataStore. (Otherwise
// the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the
// caller can't view the preexisting Artifact.)
ArtifactId string `protobuf:"bytes,3,opt,name=artifact_id,json=artifactId,proto3" json:"artifact_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
func (*CreateArtifactRequest) Descriptor
func (*CreateArtifactRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateArtifactRequest.ProtoReflect.Descriptor instead.
func (*CreateArtifactRequest) GetArtifact
func (x *CreateArtifactRequest) GetArtifact() *Artifact
func (*CreateArtifactRequest) GetArtifactId
func (x *CreateArtifactRequest) GetArtifactId() string
func (*CreateArtifactRequest) GetParent
func (x *CreateArtifactRequest) GetParent() string
func (*CreateArtifactRequest) ProtoMessage
func (*CreateArtifactRequest) ProtoMessage()
func (*CreateArtifactRequest) ProtoReflect
func (x *CreateArtifactRequest) ProtoReflect() protoreflect.Message
func (*CreateArtifactRequest) Reset
func (x *CreateArtifactRequest) Reset()
func (*CreateArtifactRequest) String
func (x *CreateArtifactRequest) String() string
CreateBatchPredictionJobRequest
type CreateBatchPredictionJobRequest struct {
// Required. The resource name of the Location to create the
// BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The BatchPredictionJob to create.
BatchPredictionJob *BatchPredictionJob `protobuf:"bytes,2,opt,name=batch_prediction_job,json=batchPredictionJob,proto3" json:"batch_prediction_job,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
func (*CreateBatchPredictionJobRequest) Descriptor
func (*CreateBatchPredictionJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateBatchPredictionJobRequest.ProtoReflect.Descriptor instead.
func (*CreateBatchPredictionJobRequest) GetBatchPredictionJob
func (x *CreateBatchPredictionJobRequest) GetBatchPredictionJob() *BatchPredictionJob
func (*CreateBatchPredictionJobRequest) GetParent
func (x *CreateBatchPredictionJobRequest) GetParent() string
func (*CreateBatchPredictionJobRequest) ProtoMessage
func (*CreateBatchPredictionJobRequest) ProtoMessage()
func (*CreateBatchPredictionJobRequest) ProtoReflect
func (x *CreateBatchPredictionJobRequest) ProtoReflect() protoreflect.Message
func (*CreateBatchPredictionJobRequest) Reset
func (x *CreateBatchPredictionJobRequest) Reset()
func (*CreateBatchPredictionJobRequest) String
func (x *CreateBatchPredictionJobRequest) String() string
CreateContextRequest
type CreateContextRequest struct {
// Required. The resource name of the MetadataStore where the Context should
// be created. Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Context to create.
Context *Context `protobuf:"bytes,2,opt,name=context,proto3" json:"context,omitempty"`
// The {context} portion of the resource name with the format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`.
// If not provided, the Context's ID will be a UUID generated by the service.
// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
// Must be unique across all Contexts in the parent MetadataStore. (Otherwise
// the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the
// caller can't view the preexisting Context.)
ContextId string `protobuf:"bytes,3,opt,name=context_id,json=contextId,proto3" json:"context_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
func (*CreateContextRequest) Descriptor
func (*CreateContextRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateContextRequest.ProtoReflect.Descriptor instead.
func (*CreateContextRequest) GetContext
func (x *CreateContextRequest) GetContext() *Context
func (*CreateContextRequest) GetContextId
func (x *CreateContextRequest) GetContextId() string
func (*CreateContextRequest) GetParent
func (x *CreateContextRequest) GetParent() string
func (*CreateContextRequest) ProtoMessage
func (*CreateContextRequest) ProtoMessage()
func (*CreateContextRequest) ProtoReflect
func (x *CreateContextRequest) ProtoReflect() protoreflect.Message
func (*CreateContextRequest) Reset
func (x *CreateContextRequest) Reset()
func (*CreateContextRequest) String
func (x *CreateContextRequest) String() string
CreateCustomJobRequest
type CreateCustomJobRequest struct {
// Required. The resource name of the Location to create the CustomJob in.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The CustomJob to create.
CustomJob *CustomJob `protobuf:"bytes,2,opt,name=custom_job,json=customJob,proto3" json:"custom_job,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
func (*CreateCustomJobRequest) Descriptor
func (*CreateCustomJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateCustomJobRequest.ProtoReflect.Descriptor instead.
func (*CreateCustomJobRequest) GetCustomJob
func (x *CreateCustomJobRequest) GetCustomJob() *CustomJob
func (*CreateCustomJobRequest) GetParent
func (x *CreateCustomJobRequest) GetParent() string
func (*CreateCustomJobRequest) ProtoMessage
func (*CreateCustomJobRequest) ProtoMessage()
func (*CreateCustomJobRequest) ProtoReflect
func (x *CreateCustomJobRequest) ProtoReflect() protoreflect.Message
func (*CreateCustomJobRequest) Reset
func (x *CreateCustomJobRequest) Reset()
func (*CreateCustomJobRequest) String
func (x *CreateCustomJobRequest) String() string
CreateDataLabelingJobRequest
type CreateDataLabelingJobRequest struct {
// Required. The parent of the DataLabelingJob.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The DataLabelingJob to create.
DataLabelingJob *DataLabelingJob `protobuf:"bytes,2,opt,name=data_labeling_job,json=dataLabelingJob,proto3" json:"data_labeling_job,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
func (*CreateDataLabelingJobRequest) Descriptor
func (*CreateDataLabelingJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateDataLabelingJobRequest.ProtoReflect.Descriptor instead.
func (*CreateDataLabelingJobRequest) GetDataLabelingJob
func (x *CreateDataLabelingJobRequest) GetDataLabelingJob() *DataLabelingJob
func (*CreateDataLabelingJobRequest) GetParent
func (x *CreateDataLabelingJobRequest) GetParent() string
func (*CreateDataLabelingJobRequest) ProtoMessage
func (*CreateDataLabelingJobRequest) ProtoMessage()
func (*CreateDataLabelingJobRequest) ProtoReflect
func (x *CreateDataLabelingJobRequest) ProtoReflect() protoreflect.Message
func (*CreateDataLabelingJobRequest) Reset
func (x *CreateDataLabelingJobRequest) Reset()
func (*CreateDataLabelingJobRequest) String
func (x *CreateDataLabelingJobRequest) String() string
CreateDatasetOperationMetadata
type CreateDatasetOperationMetadata struct {
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
func (*CreateDatasetOperationMetadata) Descriptor
func (*CreateDatasetOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CreateDatasetOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateDatasetOperationMetadata) GetGenericMetadata
func (x *CreateDatasetOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CreateDatasetOperationMetadata) ProtoMessage
func (*CreateDatasetOperationMetadata) ProtoMessage()
func (*CreateDatasetOperationMetadata) ProtoReflect
func (x *CreateDatasetOperationMetadata) ProtoReflect() protoreflect.Message
func (*CreateDatasetOperationMetadata) Reset
func (x *CreateDatasetOperationMetadata) Reset()
func (*CreateDatasetOperationMetadata) String
func (x *CreateDatasetOperationMetadata) String() string
CreateDatasetRequest
type CreateDatasetRequest struct {
// Required. The resource name of the Location to create the Dataset in.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Dataset to create.
Dataset *Dataset `protobuf:"bytes,2,opt,name=dataset,proto3" json:"dataset,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
func (*CreateDatasetRequest) Descriptor
func (*CreateDatasetRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateDatasetRequest.ProtoReflect.Descriptor instead.
func (*CreateDatasetRequest) GetDataset
func (x *CreateDatasetRequest) GetDataset() *Dataset
func (*CreateDatasetRequest) GetParent
func (x *CreateDatasetRequest) GetParent() string
func (*CreateDatasetRequest) ProtoMessage
func (*CreateDatasetRequest) ProtoMessage()
func (*CreateDatasetRequest) ProtoReflect
func (x *CreateDatasetRequest) ProtoReflect() protoreflect.Message
func (*CreateDatasetRequest) Reset
func (x *CreateDatasetRequest) Reset()
func (*CreateDatasetRequest) String
func (x *CreateDatasetRequest) String() string
CreateEndpointOperationMetadata
type CreateEndpointOperationMetadata struct {
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
func (*CreateEndpointOperationMetadata) Descriptor
func (*CreateEndpointOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CreateEndpointOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateEndpointOperationMetadata) GetGenericMetadata
func (x *CreateEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CreateEndpointOperationMetadata) ProtoMessage
func (*CreateEndpointOperationMetadata) ProtoMessage()
func (*CreateEndpointOperationMetadata) ProtoReflect
func (x *CreateEndpointOperationMetadata) ProtoReflect() protoreflect.Message
func (*CreateEndpointOperationMetadata) Reset
func (x *CreateEndpointOperationMetadata) Reset()
func (*CreateEndpointOperationMetadata) String
func (x *CreateEndpointOperationMetadata) String() string
CreateEndpointRequest
type CreateEndpointRequest struct {
// Required. The resource name of the Location to create the Endpoint in.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Endpoint to create.
Endpoint *Endpoint `protobuf:"bytes,2,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
// Immutable. The ID to use for endpoint, which will become the final
// component of the endpoint resource name.
// If not provided, Vertex AI will generate a value for this ID.
//
// This value should be 1-10 characters, and valid characters are /[0-9]/.
// When using HTTP/JSON, this field is populated based on a query string
// argument, such as `?endpoint_id=12345`. This is the fallback for fields
// that are not included in either the URI or the body.
EndpointId string `protobuf:"bytes,4,opt,name=endpoint_id,json=endpointId,proto3" json:"endpoint_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
func (*CreateEndpointRequest) Descriptor
func (*CreateEndpointRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateEndpointRequest.ProtoReflect.Descriptor instead.
func (*CreateEndpointRequest) GetEndpoint
func (x *CreateEndpointRequest) GetEndpoint() *Endpoint
func (*CreateEndpointRequest) GetEndpointId
func (x *CreateEndpointRequest) GetEndpointId() string
func (*CreateEndpointRequest) GetParent
func (x *CreateEndpointRequest) GetParent() string
func (*CreateEndpointRequest) ProtoMessage
func (*CreateEndpointRequest) ProtoMessage()
func (*CreateEndpointRequest) ProtoReflect
func (x *CreateEndpointRequest) ProtoReflect() protoreflect.Message
func (*CreateEndpointRequest) Reset
func (x *CreateEndpointRequest) Reset()
func (*CreateEndpointRequest) String
func (x *CreateEndpointRequest) String() string
CreateEntityTypeOperationMetadata
type CreateEntityTypeOperationMetadata struct {
// Operation metadata for EntityType.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform create EntityType.
func (*CreateEntityTypeOperationMetadata) Descriptor
func (*CreateEntityTypeOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CreateEntityTypeOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateEntityTypeOperationMetadata) GetGenericMetadata
func (x *CreateEntityTypeOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CreateEntityTypeOperationMetadata) ProtoMessage
func (*CreateEntityTypeOperationMetadata) ProtoMessage()
func (*CreateEntityTypeOperationMetadata) ProtoReflect
func (x *CreateEntityTypeOperationMetadata) ProtoReflect() protoreflect.Message
func (*CreateEntityTypeOperationMetadata) Reset
func (x *CreateEntityTypeOperationMetadata) Reset()
func (*CreateEntityTypeOperationMetadata) String
func (x *CreateEntityTypeOperationMetadata) String() string
CreateEntityTypeRequest
type CreateEntityTypeRequest struct {
// Required. The resource name of the Featurestore to create EntityTypes.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The EntityType to create.
EntityType *EntityType `protobuf:"bytes,2,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Required. The ID to use for the EntityType, which will become the final
// component of the EntityType's resource name.
//
// This value may be up to 60 characters, and valid characters are
// `[a-z0-9_]`. The first character cannot be a number.
//
// The value must be unique within a featurestore.
EntityTypeId string `protobuf:"bytes,3,opt,name=entity_type_id,json=entityTypeId,proto3" json:"entity_type_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
func (*CreateEntityTypeRequest) Descriptor
func (*CreateEntityTypeRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateEntityTypeRequest.ProtoReflect.Descriptor instead.
func (*CreateEntityTypeRequest) GetEntityType
func (x *CreateEntityTypeRequest) GetEntityType() *EntityType
func (*CreateEntityTypeRequest) GetEntityTypeId
func (x *CreateEntityTypeRequest) GetEntityTypeId() string
func (*CreateEntityTypeRequest) GetParent
func (x *CreateEntityTypeRequest) GetParent() string
func (*CreateEntityTypeRequest) ProtoMessage
func (*CreateEntityTypeRequest) ProtoMessage()
func (*CreateEntityTypeRequest) ProtoReflect
func (x *CreateEntityTypeRequest) ProtoReflect() protoreflect.Message
func (*CreateEntityTypeRequest) Reset
func (x *CreateEntityTypeRequest) Reset()
func (*CreateEntityTypeRequest) String
func (x *CreateEntityTypeRequest) String() string
CreateExecutionRequest
type CreateExecutionRequest struct {
// Required. The resource name of the MetadataStore where the Execution should
// be created.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Execution to create.
Execution *Execution `protobuf:"bytes,2,opt,name=execution,proto3" json:"execution,omitempty"`
// The {execution} portion of the resource name with the format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
// If not provided, the Execution's ID will be a UUID generated by the
// service.
// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
// Must be unique across all Executions in the parent MetadataStore.
// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
// if the caller can't view the preexisting Execution.)
ExecutionId string `protobuf:"bytes,3,opt,name=execution_id,json=executionId,proto3" json:"execution_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
func (*CreateExecutionRequest) Descriptor
func (*CreateExecutionRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateExecutionRequest.ProtoReflect.Descriptor instead.
func (*CreateExecutionRequest) GetExecution
func (x *CreateExecutionRequest) GetExecution() *Execution
func (*CreateExecutionRequest) GetExecutionId
func (x *CreateExecutionRequest) GetExecutionId() string
func (*CreateExecutionRequest) GetParent
func (x *CreateExecutionRequest) GetParent() string
func (*CreateExecutionRequest) ProtoMessage
func (*CreateExecutionRequest) ProtoMessage()
func (*CreateExecutionRequest) ProtoReflect
func (x *CreateExecutionRequest) ProtoReflect() protoreflect.Message
func (*CreateExecutionRequest) Reset
func (x *CreateExecutionRequest) Reset()
func (*CreateExecutionRequest) String
func (x *CreateExecutionRequest) String() string
CreateFeatureOperationMetadata
type CreateFeatureOperationMetadata struct {
// Operation metadata for Feature.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform create Feature.
func (*CreateFeatureOperationMetadata) Descriptor
func (*CreateFeatureOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CreateFeatureOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateFeatureOperationMetadata) GetGenericMetadata
func (x *CreateFeatureOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CreateFeatureOperationMetadata) ProtoMessage
func (*CreateFeatureOperationMetadata) ProtoMessage()
func (*CreateFeatureOperationMetadata) ProtoReflect
func (x *CreateFeatureOperationMetadata) ProtoReflect() protoreflect.Message
func (*CreateFeatureOperationMetadata) Reset
func (x *CreateFeatureOperationMetadata) Reset()
func (*CreateFeatureOperationMetadata) String
func (x *CreateFeatureOperationMetadata) String() string
CreateFeatureRequest
type CreateFeatureRequest struct {
// Required. The resource name of the EntityType to create a Feature.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Feature to create.
Feature *Feature `protobuf:"bytes,2,opt,name=feature,proto3" json:"feature,omitempty"`
// Required. The ID to use for the Feature, which will become the final
// component of the Feature's resource name.
//
// This value may be up to 128 characters, and valid characters are
// `[a-z0-9_]`. The first character cannot be a number.
//
// The value must be unique within an EntityType.
FeatureId string `protobuf:"bytes,3,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
func (*CreateFeatureRequest) Descriptor
func (*CreateFeatureRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateFeatureRequest.ProtoReflect.Descriptor instead.
func (*CreateFeatureRequest) GetFeature
func (x *CreateFeatureRequest) GetFeature() *Feature
func (*CreateFeatureRequest) GetFeatureId
func (x *CreateFeatureRequest) GetFeatureId() string
func (*CreateFeatureRequest) GetParent
func (x *CreateFeatureRequest) GetParent() string
func (*CreateFeatureRequest) ProtoMessage
func (*CreateFeatureRequest) ProtoMessage()
func (*CreateFeatureRequest) ProtoReflect
func (x *CreateFeatureRequest) ProtoReflect() protoreflect.Message
func (*CreateFeatureRequest) Reset
func (x *CreateFeatureRequest) Reset()
func (*CreateFeatureRequest) String
func (x *CreateFeatureRequest) String() string
CreateFeaturestoreOperationMetadata
type CreateFeaturestoreOperationMetadata struct {
// Operation metadata for Featurestore.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform create Featurestore.
func (*CreateFeaturestoreOperationMetadata) Descriptor
func (*CreateFeaturestoreOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CreateFeaturestoreOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateFeaturestoreOperationMetadata) GetGenericMetadata
func (x *CreateFeaturestoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CreateFeaturestoreOperationMetadata) ProtoMessage
func (*CreateFeaturestoreOperationMetadata) ProtoMessage()
func (*CreateFeaturestoreOperationMetadata) ProtoReflect
func (x *CreateFeaturestoreOperationMetadata) ProtoReflect() protoreflect.Message
func (*CreateFeaturestoreOperationMetadata) Reset
func (x *CreateFeaturestoreOperationMetadata) Reset()
func (*CreateFeaturestoreOperationMetadata) String
func (x *CreateFeaturestoreOperationMetadata) String() string
CreateFeaturestoreRequest
type CreateFeaturestoreRequest struct {
// Required. The resource name of the Location to create Featurestores.
// Format:
// `projects/{project}/locations/{location}'`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Featurestore to create.
Featurestore *Featurestore `protobuf:"bytes,2,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
// Required. The ID to use for this Featurestore, which will become the final
// component of the Featurestore's resource name.
//
// This value may be up to 60 characters, and valid characters are
// `[a-z0-9_]`. The first character cannot be a number.
//
// The value must be unique within the project and location.
FeaturestoreId string `protobuf:"bytes,3,opt,name=featurestore_id,json=featurestoreId,proto3" json:"featurestore_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
func (*CreateFeaturestoreRequest) Descriptor
func (*CreateFeaturestoreRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateFeaturestoreRequest.ProtoReflect.Descriptor instead.
func (*CreateFeaturestoreRequest) GetFeaturestore
func (x *CreateFeaturestoreRequest) GetFeaturestore() *Featurestore
func (*CreateFeaturestoreRequest) GetFeaturestoreId
func (x *CreateFeaturestoreRequest) GetFeaturestoreId() string
func (*CreateFeaturestoreRequest) GetParent
func (x *CreateFeaturestoreRequest) GetParent() string
func (*CreateFeaturestoreRequest) ProtoMessage
func (*CreateFeaturestoreRequest) ProtoMessage()
func (*CreateFeaturestoreRequest) ProtoReflect
func (x *CreateFeaturestoreRequest) ProtoReflect() protoreflect.Message
func (*CreateFeaturestoreRequest) Reset
func (x *CreateFeaturestoreRequest) Reset()
func (*CreateFeaturestoreRequest) String
func (x *CreateFeaturestoreRequest) String() string
CreateHyperparameterTuningJobRequest
type CreateHyperparameterTuningJobRequest struct {
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
HyperparameterTuningJob *HyperparameterTuningJob "" /* 132 byte string literal not displayed */
}
Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
func (*CreateHyperparameterTuningJobRequest) Descriptor
func (*CreateHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.
func (*CreateHyperparameterTuningJobRequest) GetHyperparameterTuningJob
func (x *CreateHyperparameterTuningJobRequest) GetHyperparameterTuningJob() *HyperparameterTuningJob
func (*CreateHyperparameterTuningJobRequest) GetParent
func (x *CreateHyperparameterTuningJobRequest) GetParent() string
func (*CreateHyperparameterTuningJobRequest) ProtoMessage
func (*CreateHyperparameterTuningJobRequest) ProtoMessage()
func (*CreateHyperparameterTuningJobRequest) ProtoReflect
func (x *CreateHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message
func (*CreateHyperparameterTuningJobRequest) Reset
func (x *CreateHyperparameterTuningJobRequest) Reset()
func (*CreateHyperparameterTuningJobRequest) String
func (x *CreateHyperparameterTuningJobRequest) String() string
CreateIndexEndpointOperationMetadata
type CreateIndexEndpointOperationMetadata struct {
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
func (*CreateIndexEndpointOperationMetadata) Descriptor
func (*CreateIndexEndpointOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CreateIndexEndpointOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateIndexEndpointOperationMetadata) GetGenericMetadata
func (x *CreateIndexEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CreateIndexEndpointOperationMetadata) ProtoMessage
func (*CreateIndexEndpointOperationMetadata) ProtoMessage()
func (*CreateIndexEndpointOperationMetadata) ProtoReflect
func (x *CreateIndexEndpointOperationMetadata) ProtoReflect() protoreflect.Message
func (*CreateIndexEndpointOperationMetadata) Reset
func (x *CreateIndexEndpointOperationMetadata) Reset()
func (*CreateIndexEndpointOperationMetadata) String
func (x *CreateIndexEndpointOperationMetadata) String() string
CreateIndexEndpointRequest
type CreateIndexEndpointRequest struct {
// Required. The resource name of the Location to create the IndexEndpoint in.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The IndexEndpoint to create.
IndexEndpoint *IndexEndpoint `protobuf:"bytes,2,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
func (*CreateIndexEndpointRequest) Descriptor
func (*CreateIndexEndpointRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateIndexEndpointRequest.ProtoReflect.Descriptor instead.
func (*CreateIndexEndpointRequest) GetIndexEndpoint
func (x *CreateIndexEndpointRequest) GetIndexEndpoint() *IndexEndpoint
func (*CreateIndexEndpointRequest) GetParent
func (x *CreateIndexEndpointRequest) GetParent() string
func (*CreateIndexEndpointRequest) ProtoMessage
func (*CreateIndexEndpointRequest) ProtoMessage()
func (*CreateIndexEndpointRequest) ProtoReflect
func (x *CreateIndexEndpointRequest) ProtoReflect() protoreflect.Message
func (*CreateIndexEndpointRequest) Reset
func (x *CreateIndexEndpointRequest) Reset()
func (*CreateIndexEndpointRequest) String
func (x *CreateIndexEndpointRequest) String() string
CreateIndexOperationMetadata
type CreateIndexOperationMetadata struct {
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
NearestNeighborSearchOperationMetadata *NearestNeighborSearchOperationMetadata "" /* 181 byte string literal not displayed */
}
Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
func (*CreateIndexOperationMetadata) Descriptor
func (*CreateIndexOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CreateIndexOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateIndexOperationMetadata) GetGenericMetadata
func (x *CreateIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CreateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata
func (x *CreateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata() *NearestNeighborSearchOperationMetadata
func (*CreateIndexOperationMetadata) ProtoMessage
func (*CreateIndexOperationMetadata) ProtoMessage()
func (*CreateIndexOperationMetadata) ProtoReflect
func (x *CreateIndexOperationMetadata) ProtoReflect() protoreflect.Message
func (*CreateIndexOperationMetadata) Reset
func (x *CreateIndexOperationMetadata) Reset()
func (*CreateIndexOperationMetadata) String
func (x *CreateIndexOperationMetadata) String() string
CreateIndexRequest
type CreateIndexRequest struct {
// Required. The resource name of the Location to create the Index in.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Index to create.
Index *Index `protobuf:"bytes,2,opt,name=index,proto3" json:"index,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
func (*CreateIndexRequest) Descriptor
func (*CreateIndexRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateIndexRequest.ProtoReflect.Descriptor instead.
func (*CreateIndexRequest) GetIndex
func (x *CreateIndexRequest) GetIndex() *Index
func (*CreateIndexRequest) GetParent
func (x *CreateIndexRequest) GetParent() string
func (*CreateIndexRequest) ProtoMessage
func (*CreateIndexRequest) ProtoMessage()
func (*CreateIndexRequest) ProtoReflect
func (x *CreateIndexRequest) ProtoReflect() protoreflect.Message
func (*CreateIndexRequest) Reset
func (x *CreateIndexRequest) Reset()
func (*CreateIndexRequest) String
func (x *CreateIndexRequest) String() string
CreateMetadataSchemaRequest
type CreateMetadataSchemaRequest struct {
// Required. The resource name of the MetadataStore where the MetadataSchema
// should be created. Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The MetadataSchema to create.
MetadataSchema *MetadataSchema `protobuf:"bytes,2,opt,name=metadata_schema,json=metadataSchema,proto3" json:"metadata_schema,omitempty"`
// The {metadata_schema} portion of the resource name with the format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`
// If not provided, the MetadataStore's ID will be a UUID generated by the
// service.
// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
// Must be unique across all MetadataSchemas in the parent Location.
// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
// if the caller can't view the preexisting MetadataSchema.)
MetadataSchemaId string `protobuf:"bytes,3,opt,name=metadata_schema_id,json=metadataSchemaId,proto3" json:"metadata_schema_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
func (*CreateMetadataSchemaRequest) Descriptor
func (*CreateMetadataSchemaRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateMetadataSchemaRequest.ProtoReflect.Descriptor instead.
func (*CreateMetadataSchemaRequest) GetMetadataSchema
func (x *CreateMetadataSchemaRequest) GetMetadataSchema() *MetadataSchema
func (*CreateMetadataSchemaRequest) GetMetadataSchemaId
func (x *CreateMetadataSchemaRequest) GetMetadataSchemaId() string
func (*CreateMetadataSchemaRequest) GetParent
func (x *CreateMetadataSchemaRequest) GetParent() string
func (*CreateMetadataSchemaRequest) ProtoMessage
func (*CreateMetadataSchemaRequest) ProtoMessage()
func (*CreateMetadataSchemaRequest) ProtoReflect
func (x *CreateMetadataSchemaRequest) ProtoReflect() protoreflect.Message
func (*CreateMetadataSchemaRequest) Reset
func (x *CreateMetadataSchemaRequest) Reset()
func (*CreateMetadataSchemaRequest) String
func (x *CreateMetadataSchemaRequest) String() string
CreateMetadataStoreOperationMetadata
type CreateMetadataStoreOperationMetadata struct {
// Operation metadata for creating a MetadataStore.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
func (*CreateMetadataStoreOperationMetadata) Descriptor
func (*CreateMetadataStoreOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CreateMetadataStoreOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateMetadataStoreOperationMetadata) GetGenericMetadata
func (x *CreateMetadataStoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CreateMetadataStoreOperationMetadata) ProtoMessage
func (*CreateMetadataStoreOperationMetadata) ProtoMessage()
func (*CreateMetadataStoreOperationMetadata) ProtoReflect
func (x *CreateMetadataStoreOperationMetadata) ProtoReflect() protoreflect.Message
func (*CreateMetadataStoreOperationMetadata) Reset
func (x *CreateMetadataStoreOperationMetadata) Reset()
func (*CreateMetadataStoreOperationMetadata) String
func (x *CreateMetadataStoreOperationMetadata) String() string
CreateMetadataStoreRequest
type CreateMetadataStoreRequest struct {
// Required. The resource name of the Location where the MetadataStore should
// be created.
// Format: `projects/{project}/locations/{location}/`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The MetadataStore to create.
MetadataStore *MetadataStore `protobuf:"bytes,2,opt,name=metadata_store,json=metadataStore,proto3" json:"metadata_store,omitempty"`
// The {metadatastore} portion of the resource name with the format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
// If not provided, the MetadataStore's ID will be a UUID generated by the
// service.
// Must be 4-128 characters in length. Valid characters are `/[a-z][0-9]-/`.
// Must be unique across all MetadataStores in the parent Location.
// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
// if the caller can't view the preexisting MetadataStore.)
MetadataStoreId string `protobuf:"bytes,3,opt,name=metadata_store_id,json=metadataStoreId,proto3" json:"metadata_store_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
func (*CreateMetadataStoreRequest) Descriptor
func (*CreateMetadataStoreRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateMetadataStoreRequest.ProtoReflect.Descriptor instead.
func (*CreateMetadataStoreRequest) GetMetadataStore
func (x *CreateMetadataStoreRequest) GetMetadataStore() *MetadataStore
func (*CreateMetadataStoreRequest) GetMetadataStoreId
func (x *CreateMetadataStoreRequest) GetMetadataStoreId() string
func (*CreateMetadataStoreRequest) GetParent
func (x *CreateMetadataStoreRequest) GetParent() string
func (*CreateMetadataStoreRequest) ProtoMessage
func (*CreateMetadataStoreRequest) ProtoMessage()
func (*CreateMetadataStoreRequest) ProtoReflect
func (x *CreateMetadataStoreRequest) ProtoReflect() protoreflect.Message
func (*CreateMetadataStoreRequest) Reset
func (x *CreateMetadataStoreRequest) Reset()
func (*CreateMetadataStoreRequest) String
func (x *CreateMetadataStoreRequest) String() string
CreateModelDeploymentMonitoringJobRequest
type CreateModelDeploymentMonitoringJobRequest struct {
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
ModelDeploymentMonitoringJob *ModelDeploymentMonitoringJob "" /* 149 byte string literal not displayed */
}
Request message for [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].
func (*CreateModelDeploymentMonitoringJobRequest) Descriptor
func (*CreateModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*CreateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob
func (x *CreateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob() *ModelDeploymentMonitoringJob
func (*CreateModelDeploymentMonitoringJobRequest) GetParent
func (x *CreateModelDeploymentMonitoringJobRequest) GetParent() string
func (*CreateModelDeploymentMonitoringJobRequest) ProtoMessage
func (*CreateModelDeploymentMonitoringJobRequest) ProtoMessage()
func (*CreateModelDeploymentMonitoringJobRequest) ProtoReflect
func (x *CreateModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message
func (*CreateModelDeploymentMonitoringJobRequest) Reset
func (x *CreateModelDeploymentMonitoringJobRequest) Reset()
func (*CreateModelDeploymentMonitoringJobRequest) String
func (x *CreateModelDeploymentMonitoringJobRequest) String() string
CreateNasJobRequest
type CreateNasJobRequest struct {
// Required. The resource name of the Location to create the NasJob in.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The NasJob to create.
NasJob *NasJob `protobuf:"bytes,2,opt,name=nas_job,json=nasJob,proto3" json:"nas_job,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.CreateNasJob][google.cloud.aiplatform.v1.JobService.CreateNasJob].
func (*CreateNasJobRequest) Descriptor
func (*CreateNasJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateNasJobRequest.ProtoReflect.Descriptor instead.
func (*CreateNasJobRequest) GetNasJob
func (x *CreateNasJobRequest) GetNasJob() *NasJob
func (*CreateNasJobRequest) GetParent
func (x *CreateNasJobRequest) GetParent() string
func (*CreateNasJobRequest) ProtoMessage
func (*CreateNasJobRequest) ProtoMessage()
func (*CreateNasJobRequest) ProtoReflect
func (x *CreateNasJobRequest) ProtoReflect() protoreflect.Message
func (*CreateNasJobRequest) Reset
func (x *CreateNasJobRequest) Reset()
func (*CreateNasJobRequest) String
func (x *CreateNasJobRequest) String() string
CreatePipelineJobRequest
type CreatePipelineJobRequest struct {
// Required. The resource name of the Location to create the PipelineJob in.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The PipelineJob to create.
PipelineJob *PipelineJob `protobuf:"bytes,2,opt,name=pipeline_job,json=pipelineJob,proto3" json:"pipeline_job,omitempty"`
// The ID to use for the PipelineJob, which will become the final component of
// the PipelineJob name. If not provided, an ID will be automatically
// generated.
//
// This value should be less than 128 characters, and valid characters
// are /[a-z][0-9]-/.
PipelineJobId string `protobuf:"bytes,3,opt,name=pipeline_job_id,json=pipelineJobId,proto3" json:"pipeline_job_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
func (*CreatePipelineJobRequest) Descriptor
func (*CreatePipelineJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreatePipelineJobRequest.ProtoReflect.Descriptor instead.
func (*CreatePipelineJobRequest) GetParent
func (x *CreatePipelineJobRequest) GetParent() string
func (*CreatePipelineJobRequest) GetPipelineJob
func (x *CreatePipelineJobRequest) GetPipelineJob() *PipelineJob
func (*CreatePipelineJobRequest) GetPipelineJobId
func (x *CreatePipelineJobRequest) GetPipelineJobId() string
func (*CreatePipelineJobRequest) ProtoMessage
func (*CreatePipelineJobRequest) ProtoMessage()
func (*CreatePipelineJobRequest) ProtoReflect
func (x *CreatePipelineJobRequest) ProtoReflect() protoreflect.Message
func (*CreatePipelineJobRequest) Reset
func (x *CreatePipelineJobRequest) Reset()
func (*CreatePipelineJobRequest) String
func (x *CreatePipelineJobRequest) String() string
CreateSpecialistPoolOperationMetadata
type CreateSpecialistPoolOperationMetadata struct {
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
func (*CreateSpecialistPoolOperationMetadata) Descriptor
func (*CreateSpecialistPoolOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CreateSpecialistPoolOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateSpecialistPoolOperationMetadata) GetGenericMetadata
func (x *CreateSpecialistPoolOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CreateSpecialistPoolOperationMetadata) ProtoMessage
func (*CreateSpecialistPoolOperationMetadata) ProtoMessage()
func (*CreateSpecialistPoolOperationMetadata) ProtoReflect
func (x *CreateSpecialistPoolOperationMetadata) ProtoReflect() protoreflect.Message
func (*CreateSpecialistPoolOperationMetadata) Reset
func (x *CreateSpecialistPoolOperationMetadata) Reset()
func (*CreateSpecialistPoolOperationMetadata) String
func (x *CreateSpecialistPoolOperationMetadata) String() string
CreateSpecialistPoolRequest
type CreateSpecialistPoolRequest struct {
// Required. The parent Project name for the new SpecialistPool.
// The form is `projects/{project}/locations/{location}`.
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The SpecialistPool to create.
SpecialistPool *SpecialistPool `protobuf:"bytes,2,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
// contains filtered or unexported fields
}
Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
func (*CreateSpecialistPoolRequest) Descriptor
func (*CreateSpecialistPoolRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateSpecialistPoolRequest.ProtoReflect.Descriptor instead.
func (*CreateSpecialistPoolRequest) GetParent
func (x *CreateSpecialistPoolRequest) GetParent() string
func (*CreateSpecialistPoolRequest) GetSpecialistPool
func (x *CreateSpecialistPoolRequest) GetSpecialistPool() *SpecialistPool
func (*CreateSpecialistPoolRequest) ProtoMessage
func (*CreateSpecialistPoolRequest) ProtoMessage()
func (*CreateSpecialistPoolRequest) ProtoReflect
func (x *CreateSpecialistPoolRequest) ProtoReflect() protoreflect.Message
func (*CreateSpecialistPoolRequest) Reset
func (x *CreateSpecialistPoolRequest) Reset()
func (*CreateSpecialistPoolRequest) String
func (x *CreateSpecialistPoolRequest) String() string
CreateStudyRequest
type CreateStudyRequest struct {
// Required. The resource name of the Location to create the CustomJob in.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Study configuration used to create the Study.
Study *Study `protobuf:"bytes,2,opt,name=study,proto3" json:"study,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
func (*CreateStudyRequest) Descriptor
func (*CreateStudyRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateStudyRequest.ProtoReflect.Descriptor instead.
func (*CreateStudyRequest) GetParent
func (x *CreateStudyRequest) GetParent() string
func (*CreateStudyRequest) GetStudy
func (x *CreateStudyRequest) GetStudy() *Study
func (*CreateStudyRequest) ProtoMessage
func (*CreateStudyRequest) ProtoMessage()
func (*CreateStudyRequest) ProtoReflect
func (x *CreateStudyRequest) ProtoReflect() protoreflect.Message
func (*CreateStudyRequest) Reset
func (x *CreateStudyRequest) Reset()
func (*CreateStudyRequest) String
func (x *CreateStudyRequest) String() string
CreateTensorboardExperimentRequest
type CreateTensorboardExperimentRequest struct {
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
TensorboardExperimentId string "" /* 132 byte string literal not displayed */
}
Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
func (*CreateTensorboardExperimentRequest) Descriptor
func (*CreateTensorboardExperimentRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateTensorboardExperimentRequest.ProtoReflect.Descriptor instead.
func (*CreateTensorboardExperimentRequest) GetParent
func (x *CreateTensorboardExperimentRequest) GetParent() string
func (*CreateTensorboardExperimentRequest) GetTensorboardExperiment
func (x *CreateTensorboardExperimentRequest) GetTensorboardExperiment() *TensorboardExperiment
func (*CreateTensorboardExperimentRequest) GetTensorboardExperimentId
func (x *CreateTensorboardExperimentRequest) GetTensorboardExperimentId() string
func (*CreateTensorboardExperimentRequest) ProtoMessage
func (*CreateTensorboardExperimentRequest) ProtoMessage()
func (*CreateTensorboardExperimentRequest) ProtoReflect
func (x *CreateTensorboardExperimentRequest) ProtoReflect() protoreflect.Message
func (*CreateTensorboardExperimentRequest) Reset
func (x *CreateTensorboardExperimentRequest) Reset()
func (*CreateTensorboardExperimentRequest) String
func (x *CreateTensorboardExperimentRequest) String() string
CreateTensorboardOperationMetadata
type CreateTensorboardOperationMetadata struct {
// Operation metadata for Tensorboard.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform create Tensorboard.
func (*CreateTensorboardOperationMetadata) Descriptor
func (*CreateTensorboardOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use CreateTensorboardOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateTensorboardOperationMetadata) GetGenericMetadata
func (x *CreateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*CreateTensorboardOperationMetadata) ProtoMessage
func (*CreateTensorboardOperationMetadata) ProtoMessage()
func (*CreateTensorboardOperationMetadata) ProtoReflect
func (x *CreateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message
func (*CreateTensorboardOperationMetadata) Reset
func (x *CreateTensorboardOperationMetadata) Reset()
func (*CreateTensorboardOperationMetadata) String
func (x *CreateTensorboardOperationMetadata) String() string
CreateTensorboardRequest
type CreateTensorboardRequest struct {
// Required. The resource name of the Location to create the Tensorboard in.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Tensorboard to create.
Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
func (*CreateTensorboardRequest) Descriptor
func (*CreateTensorboardRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateTensorboardRequest.ProtoReflect.Descriptor instead.
func (*CreateTensorboardRequest) GetParent
func (x *CreateTensorboardRequest) GetParent() string
func (*CreateTensorboardRequest) GetTensorboard
func (x *CreateTensorboardRequest) GetTensorboard() *Tensorboard
func (*CreateTensorboardRequest) ProtoMessage
func (*CreateTensorboardRequest) ProtoMessage()
func (*CreateTensorboardRequest) ProtoReflect
func (x *CreateTensorboardRequest) ProtoReflect() protoreflect.Message
func (*CreateTensorboardRequest) Reset
func (x *CreateTensorboardRequest) Reset()
func (*CreateTensorboardRequest) String
func (x *CreateTensorboardRequest) String() string
CreateTensorboardRunRequest
type CreateTensorboardRunRequest struct {
// Required. The resource name of the TensorboardExperiment to create the
// TensorboardRun in. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The TensorboardRun to create.
TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
// Required. The ID to use for the Tensorboard run, which becomes the final
// component of the Tensorboard run's resource name.
//
// This value should be 1-128 characters, and valid characters
// are /[a-z][0-9]-/.
TensorboardRunId string `protobuf:"bytes,3,opt,name=tensorboard_run_id,json=tensorboardRunId,proto3" json:"tensorboard_run_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
func (*CreateTensorboardRunRequest) Descriptor
func (*CreateTensorboardRunRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateTensorboardRunRequest.ProtoReflect.Descriptor instead.
func (*CreateTensorboardRunRequest) GetParent
func (x *CreateTensorboardRunRequest) GetParent() string
func (*CreateTensorboardRunRequest) GetTensorboardRun
func (x *CreateTensorboardRunRequest) GetTensorboardRun() *TensorboardRun
func (*CreateTensorboardRunRequest) GetTensorboardRunId
func (x *CreateTensorboardRunRequest) GetTensorboardRunId() string
func (*CreateTensorboardRunRequest) ProtoMessage
func (*CreateTensorboardRunRequest) ProtoMessage()
func (*CreateTensorboardRunRequest) ProtoReflect
func (x *CreateTensorboardRunRequest) ProtoReflect() protoreflect.Message
func (*CreateTensorboardRunRequest) Reset
func (x *CreateTensorboardRunRequest) Reset()
func (*CreateTensorboardRunRequest) String
func (x *CreateTensorboardRunRequest) String() string
CreateTensorboardTimeSeriesRequest
type CreateTensorboardTimeSeriesRequest struct {
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
TensorboardTimeSeriesId string "" /* 134 byte string literal not displayed */
TensorboardTimeSeries *TensorboardTimeSeries `protobuf:"bytes,2,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
}
Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
func (*CreateTensorboardTimeSeriesRequest) Descriptor
func (*CreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
func (*CreateTensorboardTimeSeriesRequest) GetParent
func (x *CreateTensorboardTimeSeriesRequest) GetParent() string
func (*CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries
func (x *CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries() *TensorboardTimeSeries
func (*CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeriesId
func (x *CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeriesId() string
func (*CreateTensorboardTimeSeriesRequest) ProtoMessage
func (*CreateTensorboardTimeSeriesRequest) ProtoMessage()
func (*CreateTensorboardTimeSeriesRequest) ProtoReflect
func (x *CreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message
func (*CreateTensorboardTimeSeriesRequest) Reset
func (x *CreateTensorboardTimeSeriesRequest) Reset()
func (*CreateTensorboardTimeSeriesRequest) String
func (x *CreateTensorboardTimeSeriesRequest) String() string
CreateTrainingPipelineRequest
type CreateTrainingPipelineRequest struct {
// Required. The resource name of the Location to create the TrainingPipeline
// in. Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The TrainingPipeline to create.
TrainingPipeline *TrainingPipeline `protobuf:"bytes,2,opt,name=training_pipeline,json=trainingPipeline,proto3" json:"training_pipeline,omitempty"`
// contains filtered or unexported fields
}
Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
func (*CreateTrainingPipelineRequest) Descriptor
func (*CreateTrainingPipelineRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateTrainingPipelineRequest.ProtoReflect.Descriptor instead.
func (*CreateTrainingPipelineRequest) GetParent
func (x *CreateTrainingPipelineRequest) GetParent() string
func (*CreateTrainingPipelineRequest) GetTrainingPipeline
func (x *CreateTrainingPipelineRequest) GetTrainingPipeline() *TrainingPipeline
func (*CreateTrainingPipelineRequest) ProtoMessage
func (*CreateTrainingPipelineRequest) ProtoMessage()
func (*CreateTrainingPipelineRequest) ProtoReflect
func (x *CreateTrainingPipelineRequest) ProtoReflect() protoreflect.Message
func (*CreateTrainingPipelineRequest) Reset
func (x *CreateTrainingPipelineRequest) Reset()
func (*CreateTrainingPipelineRequest) String
func (x *CreateTrainingPipelineRequest) String() string
CreateTrialRequest
type CreateTrialRequest struct {
// Required. The resource name of the Study to create the Trial in.
// Format: `projects/{project}/locations/{location}/studies/{study}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The Trial to create.
Trial *Trial `protobuf:"bytes,2,opt,name=trial,proto3" json:"trial,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
func (*CreateTrialRequest) Descriptor
func (*CreateTrialRequest) Descriptor() ([]byte, []int)
Deprecated: Use CreateTrialRequest.ProtoReflect.Descriptor instead.
func (*CreateTrialRequest) GetParent
func (x *CreateTrialRequest) GetParent() string
func (*CreateTrialRequest) GetTrial
func (x *CreateTrialRequest) GetTrial() *Trial
func (*CreateTrialRequest) ProtoMessage
func (*CreateTrialRequest) ProtoMessage()
func (*CreateTrialRequest) ProtoReflect
func (x *CreateTrialRequest) ProtoReflect() protoreflect.Message
func (*CreateTrialRequest) Reset
func (x *CreateTrialRequest) Reset()
func (*CreateTrialRequest) String
func (x *CreateTrialRequest) String() string
CsvDestination
type CsvDestination struct {
// Required. Google Cloud Storage location.
GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3" json:"gcs_destination,omitempty"`
// contains filtered or unexported fields
}
The storage details for CSV output content.
func (*CsvDestination) Descriptor
func (*CsvDestination) Descriptor() ([]byte, []int)
Deprecated: Use CsvDestination.ProtoReflect.Descriptor instead.
func (*CsvDestination) GetGcsDestination
func (x *CsvDestination) GetGcsDestination() *GcsDestination
func (*CsvDestination) ProtoMessage
func (*CsvDestination) ProtoMessage()
func (*CsvDestination) ProtoReflect
func (x *CsvDestination) ProtoReflect() protoreflect.Message
func (*CsvDestination) Reset
func (x *CsvDestination) Reset()
func (*CsvDestination) String
func (x *CsvDestination) String() string
CsvSource
type CsvSource struct {
// Required. Google Cloud Storage location.
GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
// contains filtered or unexported fields
}
The storage details for CSV input content.
func (*CsvSource) Descriptor
Deprecated: Use CsvSource.ProtoReflect.Descriptor instead.
func (*CsvSource) GetGcsSource
func (*CsvSource) ProtoMessage
func (*CsvSource) ProtoMessage()
func (*CsvSource) ProtoReflect
func (x *CsvSource) ProtoReflect() protoreflect.Message
func (*CsvSource) Reset
func (x *CsvSource) Reset()
func (*CsvSource) String
CustomJob
type CustomJob struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
JobSpec *CustomJobSpec `protobuf:"bytes,4,opt,name=job_spec,json=jobSpec,proto3" json:"job_spec,omitempty"`
State JobState `protobuf:"varint,5,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
EncryptionSpec *EncryptionSpec `protobuf:"bytes,12,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
WebAccessUris map[string]string "" /* 191 byte string literal not displayed */
}
Represents a job that runs custom workloads such as a Docker container or a Python package. A CustomJob can have multiple worker pools and each worker pool can have its own machine and input spec. A CustomJob will be cleaned up once the job enters terminal state (failed or succeeded).
func (*CustomJob) Descriptor
Deprecated: Use CustomJob.ProtoReflect.Descriptor instead.
func (*CustomJob) GetCreateTime
func (x *CustomJob) GetCreateTime() *timestamppb.Timestamp
func (*CustomJob) GetDisplayName
func (*CustomJob) GetEncryptionSpec
func (x *CustomJob) GetEncryptionSpec() *EncryptionSpec
func (*CustomJob) GetEndTime
func (x *CustomJob) GetEndTime() *timestamppb.Timestamp
func (*CustomJob) GetError
func (*CustomJob) GetJobSpec
func (x *CustomJob) GetJobSpec() *CustomJobSpec
func (*CustomJob) GetLabels
func (*CustomJob) GetName
func (*CustomJob) GetStartTime
func (x *CustomJob) GetStartTime() *timestamppb.Timestamp
func (*CustomJob) GetState
func (*CustomJob) GetUpdateTime
func (x *CustomJob) GetUpdateTime() *timestamppb.Timestamp
func (*CustomJob) GetWebAccessUris
func (*CustomJob) ProtoMessage
func (*CustomJob) ProtoMessage()
func (*CustomJob) ProtoReflect
func (x *CustomJob) ProtoReflect() protoreflect.Message
func (*CustomJob) Reset
func (x *CustomJob) Reset()
func (*CustomJob) String
CustomJobSpec
type CustomJobSpec struct {
WorkerPoolSpecs []*WorkerPoolSpec `protobuf:"bytes,1,rep,name=worker_pool_specs,json=workerPoolSpecs,proto3" json:"worker_pool_specs,omitempty"`
Scheduling *Scheduling `protobuf:"bytes,3,opt,name=scheduling,proto3" json:"scheduling,omitempty"`
ServiceAccount string `protobuf:"bytes,4,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
Network string `protobuf:"bytes,5,opt,name=network,proto3" json:"network,omitempty"`
ReservedIpRanges []string `protobuf:"bytes,13,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"`
BaseOutputDirectory *GcsDestination `protobuf:"bytes,6,opt,name=base_output_directory,json=baseOutputDirectory,proto3" json:"base_output_directory,omitempty"`
Tensorboard string `protobuf:"bytes,7,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
EnableWebAccess bool `protobuf:"varint,10,opt,name=enable_web_access,json=enableWebAccess,proto3" json:"enable_web_access,omitempty"`
EnableDashboardAccess bool "" /* 128 byte string literal not displayed */
}
Represents the spec of a CustomJob.
func (*CustomJobSpec) Descriptor
func (*CustomJobSpec) Descriptor() ([]byte, []int)
Deprecated: Use CustomJobSpec.ProtoReflect.Descriptor instead.
func (*CustomJobSpec) GetBaseOutputDirectory
func (x *CustomJobSpec) GetBaseOutputDirectory() *GcsDestination
func (*CustomJobSpec) GetEnableDashboardAccess
func (x *CustomJobSpec) GetEnableDashboardAccess() bool
func (*CustomJobSpec) GetEnableWebAccess
func (x *CustomJobSpec) GetEnableWebAccess() bool
func (*CustomJobSpec) GetNetwork
func (x *CustomJobSpec) GetNetwork() string
func (*CustomJobSpec) GetReservedIpRanges
func (x *CustomJobSpec) GetReservedIpRanges() []string
func (*CustomJobSpec) GetScheduling
func (x *CustomJobSpec) GetScheduling() *Scheduling
func (*CustomJobSpec) GetServiceAccount
func (x *CustomJobSpec) GetServiceAccount() string
func (*CustomJobSpec) GetTensorboard
func (x *CustomJobSpec) GetTensorboard() string
func (*CustomJobSpec) GetWorkerPoolSpecs
func (x *CustomJobSpec) GetWorkerPoolSpecs() []*WorkerPoolSpec
func (*CustomJobSpec) ProtoMessage
func (*CustomJobSpec) ProtoMessage()
func (*CustomJobSpec) ProtoReflect
func (x *CustomJobSpec) ProtoReflect() protoreflect.Message
func (*CustomJobSpec) Reset
func (x *CustomJobSpec) Reset()
func (*CustomJobSpec) String
func (x *CustomJobSpec) String() string
DataItem
type DataItem struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
Payload *structpb.Value `protobuf:"bytes,4,opt,name=payload,proto3" json:"payload,omitempty"`
Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
}
A piece of data in a Dataset. Could be an image, a video, a document or plain text.
func (*DataItem) Descriptor
Deprecated: Use DataItem.ProtoReflect.Descriptor instead.
func (*DataItem) GetCreateTime
func (x *DataItem) GetCreateTime() *timestamppb.Timestamp
func (*DataItem) GetEtag
func (*DataItem) GetLabels
func (*DataItem) GetName
func (*DataItem) GetPayload
func (*DataItem) GetUpdateTime
func (x *DataItem) GetUpdateTime() *timestamppb.Timestamp
func (*DataItem) ProtoMessage
func (*DataItem) ProtoMessage()
func (*DataItem) ProtoReflect
func (x *DataItem) ProtoReflect() protoreflect.Message
func (*DataItem) Reset
func (x *DataItem) Reset()
func (*DataItem) String
DataItemView
type DataItemView struct {
DataItem *DataItem `protobuf:"bytes,1,opt,name=data_item,json=dataItem,proto3" json:"data_item,omitempty"`
Annotations []*Annotation `protobuf:"bytes,2,rep,name=annotations,proto3" json:"annotations,omitempty"`
HasTruncatedAnnotations bool "" /* 133 byte string literal not displayed */
}
A container for a single DataItem and Annotations on it.
func (*DataItemView) Descriptor
func (*DataItemView) Descriptor() ([]byte, []int)
Deprecated: Use DataItemView.ProtoReflect.Descriptor instead.
func (*DataItemView) GetAnnotations
func (x *DataItemView) GetAnnotations() []*Annotation
func (*DataItemView) GetDataItem
func (x *DataItemView) GetDataItem() *DataItem
func (*DataItemView) GetHasTruncatedAnnotations
func (x *DataItemView) GetHasTruncatedAnnotations() bool
func (*DataItemView) ProtoMessage
func (*DataItemView) ProtoMessage()
func (*DataItemView) ProtoReflect
func (x *DataItemView) ProtoReflect() protoreflect.Message
func (*DataItemView) Reset
func (x *DataItemView) Reset()
func (*DataItemView) String
func (x *DataItemView) String() string
DataLabelingJob
type DataLabelingJob struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Datasets []string `protobuf:"bytes,3,rep,name=datasets,proto3" json:"datasets,omitempty"`
AnnotationLabels map[string]string "" /* 198 byte string literal not displayed */
LabelerCount int32 `protobuf:"varint,4,opt,name=labeler_count,json=labelerCount,proto3" json:"labeler_count,omitempty"`
InstructionUri string `protobuf:"bytes,5,opt,name=instruction_uri,json=instructionUri,proto3" json:"instruction_uri,omitempty"`
InputsSchemaUri string `protobuf:"bytes,6,opt,name=inputs_schema_uri,json=inputsSchemaUri,proto3" json:"inputs_schema_uri,omitempty"`
Inputs *structpb.Value `protobuf:"bytes,7,opt,name=inputs,proto3" json:"inputs,omitempty"`
State JobState `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
LabelingProgress int32 `protobuf:"varint,13,opt,name=labeling_progress,json=labelingProgress,proto3" json:"labeling_progress,omitempty"`
CurrentSpend *money.Money `protobuf:"bytes,14,opt,name=current_spend,json=currentSpend,proto3" json:"current_spend,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Error *status.Status `protobuf:"bytes,22,opt,name=error,proto3" json:"error,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
SpecialistPools []string `protobuf:"bytes,16,rep,name=specialist_pools,json=specialistPools,proto3" json:"specialist_pools,omitempty"`
EncryptionSpec *EncryptionSpec `protobuf:"bytes,20,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
ActiveLearningConfig *ActiveLearningConfig `protobuf:"bytes,21,opt,name=active_learning_config,json=activeLearningConfig,proto3" json:"active_learning_config,omitempty"`
}
DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:
func (*DataLabelingJob) Descriptor
func (*DataLabelingJob) Descriptor() ([]byte, []int)
Deprecated: Use DataLabelingJob.ProtoReflect.Descriptor instead.
func (*DataLabelingJob) GetActiveLearningConfig
func (x *DataLabelingJob) GetActiveLearningConfig() *ActiveLearningConfig
func (*DataLabelingJob) GetAnnotationLabels
func (x *DataLabelingJob) GetAnnotationLabels() map[string]string
func (*DataLabelingJob) GetCreateTime
func (x *DataLabelingJob) GetCreateTime() *timestamppb.Timestamp
func (*DataLabelingJob) GetCurrentSpend
func (x *DataLabelingJob) GetCurrentSpend() *money.Money
func (*DataLabelingJob) GetDatasets
func (x *DataLabelingJob) GetDatasets() []string
func (*DataLabelingJob) GetDisplayName
func (x *DataLabelingJob) GetDisplayName() string
func (*DataLabelingJob) GetEncryptionSpec
func (x *DataLabelingJob) GetEncryptionSpec() *EncryptionSpec
func (*DataLabelingJob) GetError
func (x *DataLabelingJob) GetError() *status.Status
func (*DataLabelingJob) GetInputs
func (x *DataLabelingJob) GetInputs() *structpb.Value
func (*DataLabelingJob) GetInputsSchemaUri
func (x *DataLabelingJob) GetInputsSchemaUri() string
func (*DataLabelingJob) GetInstructionUri
func (x *DataLabelingJob) GetInstructionUri() string
func (*DataLabelingJob) GetLabelerCount
func (x *DataLabelingJob) GetLabelerCount() int32
func (*DataLabelingJob) GetLabelingProgress
func (x *DataLabelingJob) GetLabelingProgress() int32
func (*DataLabelingJob) GetLabels
func (x *DataLabelingJob) GetLabels() map[string]string
func (*DataLabelingJob) GetName
func (x *DataLabelingJob) GetName() string
func (*DataLabelingJob) GetSpecialistPools
func (x *DataLabelingJob) GetSpecialistPools() []string
func (*DataLabelingJob) GetState
func (x *DataLabelingJob) GetState() JobState
func (*DataLabelingJob) GetUpdateTime
func (x *DataLabelingJob) GetUpdateTime() *timestamppb.Timestamp
func (*DataLabelingJob) ProtoMessage
func (*DataLabelingJob) ProtoMessage()
func (*DataLabelingJob) ProtoReflect
func (x *DataLabelingJob) ProtoReflect() protoreflect.Message
func (*DataLabelingJob) Reset
func (x *DataLabelingJob) Reset()
func (*DataLabelingJob) String
func (x *DataLabelingJob) String() string
Dataset
type Dataset struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`
MetadataSchemaUri string `protobuf:"bytes,3,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`
Metadata *structpb.Value `protobuf:"bytes,8,opt,name=metadata,proto3" json:"metadata,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
SavedQueries []*SavedQuery `protobuf:"bytes,9,rep,name=saved_queries,json=savedQueries,proto3" json:"saved_queries,omitempty"`
EncryptionSpec *EncryptionSpec `protobuf:"bytes,11,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
MetadataArtifact string `protobuf:"bytes,17,opt,name=metadata_artifact,json=metadataArtifact,proto3" json:"metadata_artifact,omitempty"`
}
A collection of DataItems and Annotations on them.
func (*Dataset) Descriptor
Deprecated: Use Dataset.ProtoReflect.Descriptor instead.
func (*Dataset) GetCreateTime
func (x *Dataset) GetCreateTime() *timestamppb.Timestamp
func (*Dataset) GetDescription
func (*Dataset) GetDisplayName
func (*Dataset) GetEncryptionSpec
func (x *Dataset) GetEncryptionSpec() *EncryptionSpec
func (*Dataset) GetEtag
func (*Dataset) GetLabels
func (*Dataset) GetMetadata
func (*Dataset) GetMetadataArtifact
func (*Dataset) GetMetadataSchemaUri
func (*Dataset) GetName
func (*Dataset) GetSavedQueries
func (x *Dataset) GetSavedQueries() []*SavedQuery
func (*Dataset) GetUpdateTime
func (x *Dataset) GetUpdateTime() *timestamppb.Timestamp
func (*Dataset) ProtoMessage
func (*Dataset) ProtoMessage()
func (*Dataset) ProtoReflect
func (x *Dataset) ProtoReflect() protoreflect.Message
func (*Dataset) Reset
func (x *Dataset) Reset()
func (*Dataset) String
DatasetServiceClient
type DatasetServiceClient interface {
// Creates a Dataset.
CreateDataset(ctx context.Context, in *CreateDatasetRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Gets a Dataset.
GetDataset(ctx context.Context, in *GetDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
// Updates a Dataset.
UpdateDataset(ctx context.Context, in *UpdateDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
// Lists Datasets in a Location.
ListDatasets(ctx context.Context, in *ListDatasetsRequest, opts ...grpc.CallOption) (*ListDatasetsResponse, error)
// Deletes a Dataset.
DeleteDataset(ctx context.Context, in *DeleteDatasetRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Imports data into a Dataset.
ImportData(ctx context.Context, in *ImportDataRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Exports data from a Dataset.
ExportData(ctx context.Context, in *ExportDataRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Lists DataItems in a Dataset.
ListDataItems(ctx context.Context, in *ListDataItemsRequest, opts ...grpc.CallOption) (*ListDataItemsResponse, error)
// Searches DataItems in a Dataset.
SearchDataItems(ctx context.Context, in *SearchDataItemsRequest, opts ...grpc.CallOption) (*SearchDataItemsResponse, error)
// Lists SavedQueries in a Dataset.
ListSavedQueries(ctx context.Context, in *ListSavedQueriesRequest, opts ...grpc.CallOption) (*ListSavedQueriesResponse, error)
// Gets an AnnotationSpec.
GetAnnotationSpec(ctx context.Context, in *GetAnnotationSpecRequest, opts ...grpc.CallOption) (*AnnotationSpec, error)
// Lists Annotations belongs to a dataitem
ListAnnotations(ctx context.Context, in *ListAnnotationsRequest, opts ...grpc.CallOption) (*ListAnnotationsResponse, error)
}
DatasetServiceClient is the client API for DatasetService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewDatasetServiceClient
func NewDatasetServiceClient(cc grpc.ClientConnInterface) DatasetServiceClient
DatasetServiceServer
type DatasetServiceServer interface {
// Creates a Dataset.
CreateDataset(context.Context, *CreateDatasetRequest) (*longrunning.Operation, error)
// Gets a Dataset.
GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error)
// Updates a Dataset.
UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error)
// Lists Datasets in a Location.
ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error)
// Deletes a Dataset.
DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunning.Operation, error)
// Imports data into a Dataset.
ImportData(context.Context, *ImportDataRequest) (*longrunning.Operation, error)
// Exports data from a Dataset.
ExportData(context.Context, *ExportDataRequest) (*longrunning.Operation, error)
// Lists DataItems in a Dataset.
ListDataItems(context.Context, *ListDataItemsRequest) (*ListDataItemsResponse, error)
// Searches DataItems in a Dataset.
SearchDataItems(context.Context, *SearchDataItemsRequest) (*SearchDataItemsResponse, error)
// Lists SavedQueries in a Dataset.
ListSavedQueries(context.Context, *ListSavedQueriesRequest) (*ListSavedQueriesResponse, error)
// Gets an AnnotationSpec.
GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error)
// Lists Annotations belongs to a dataitem
ListAnnotations(context.Context, *ListAnnotationsRequest) (*ListAnnotationsResponse, error)
}
DatasetServiceServer is the server API for DatasetService service.
DedicatedResources
type DedicatedResources struct {
MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
MinReplicaCount int32 `protobuf:"varint,2,opt,name=min_replica_count,json=minReplicaCount,proto3" json:"min_replica_count,omitempty"`
MaxReplicaCount int32 `protobuf:"varint,3,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
AutoscalingMetricSpecs []*AutoscalingMetricSpec "" /* 129 byte string literal not displayed */
}
A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.
func (*DedicatedResources) Descriptor
func (*DedicatedResources) Descriptor() ([]byte, []int)
Deprecated: Use DedicatedResources.ProtoReflect.Descriptor instead.
func (*DedicatedResources) GetAutoscalingMetricSpecs
func (x *DedicatedResources) GetAutoscalingMetricSpecs() []*AutoscalingMetricSpec
func (*DedicatedResources) GetMachineSpec
func (x *DedicatedResources) GetMachineSpec() *MachineSpec
func (*DedicatedResources) GetMaxReplicaCount
func (x *DedicatedResources) GetMaxReplicaCount() int32
func (*DedicatedResources) GetMinReplicaCount
func (x *DedicatedResources) GetMinReplicaCount() int32
func (*DedicatedResources) ProtoMessage
func (*DedicatedResources) ProtoMessage()
func (*DedicatedResources) ProtoReflect
func (x *DedicatedResources) ProtoReflect() protoreflect.Message
func (*DedicatedResources) Reset
func (x *DedicatedResources) Reset()
func (*DedicatedResources) String
func (x *DedicatedResources) String() string
DeleteArtifactRequest
type DeleteArtifactRequest struct {
// Required. The resource name of the Artifact to delete.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Optional. The etag of the Artifact to delete.
// If this is provided, it must match the server's etag. Otherwise, the
// request will fail with a FAILED_PRECONDITION.
Etag string `protobuf:"bytes,2,opt,name=etag,proto3" json:"etag,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
func (*DeleteArtifactRequest) Descriptor
func (*DeleteArtifactRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteArtifactRequest.ProtoReflect.Descriptor instead.
func (*DeleteArtifactRequest) GetEtag
func (x *DeleteArtifactRequest) GetEtag() string
func (*DeleteArtifactRequest) GetName
func (x *DeleteArtifactRequest) GetName() string
func (*DeleteArtifactRequest) ProtoMessage
func (*DeleteArtifactRequest) ProtoMessage()
func (*DeleteArtifactRequest) ProtoReflect
func (x *DeleteArtifactRequest) ProtoReflect() protoreflect.Message
func (*DeleteArtifactRequest) Reset
func (x *DeleteArtifactRequest) Reset()
func (*DeleteArtifactRequest) String
func (x *DeleteArtifactRequest) String() string
DeleteBatchPredictionJobRequest
type DeleteBatchPredictionJobRequest struct {
// Required. The name of the BatchPredictionJob resource to be deleted.
// Format:
// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
func (*DeleteBatchPredictionJobRequest) Descriptor
func (*DeleteBatchPredictionJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteBatchPredictionJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteBatchPredictionJobRequest) GetName
func (x *DeleteBatchPredictionJobRequest) GetName() string
func (*DeleteBatchPredictionJobRequest) ProtoMessage
func (*DeleteBatchPredictionJobRequest) ProtoMessage()
func (*DeleteBatchPredictionJobRequest) ProtoReflect
func (x *DeleteBatchPredictionJobRequest) ProtoReflect() protoreflect.Message
func (*DeleteBatchPredictionJobRequest) Reset
func (x *DeleteBatchPredictionJobRequest) Reset()
func (*DeleteBatchPredictionJobRequest) String
func (x *DeleteBatchPredictionJobRequest) String() string
DeleteContextRequest
type DeleteContextRequest struct {
// Required. The resource name of the Context to delete.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// The force deletion semantics is still undefined.
// Users should not use this field.
Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
// Optional. The etag of the Context to delete.
// If this is provided, it must match the server's etag. Otherwise, the
// request will fail with a FAILED_PRECONDITION.
Etag string `protobuf:"bytes,3,opt,name=etag,proto3" json:"etag,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
func (*DeleteContextRequest) Descriptor
func (*DeleteContextRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteContextRequest.ProtoReflect.Descriptor instead.
func (*DeleteContextRequest) GetEtag
func (x *DeleteContextRequest) GetEtag() string
func (*DeleteContextRequest) GetForce
func (x *DeleteContextRequest) GetForce() bool
func (*DeleteContextRequest) GetName
func (x *DeleteContextRequest) GetName() string
func (*DeleteContextRequest) ProtoMessage
func (*DeleteContextRequest) ProtoMessage()
func (*DeleteContextRequest) ProtoReflect
func (x *DeleteContextRequest) ProtoReflect() protoreflect.Message
func (*DeleteContextRequest) Reset
func (x *DeleteContextRequest) Reset()
func (*DeleteContextRequest) String
func (x *DeleteContextRequest) String() string
DeleteCustomJobRequest
type DeleteCustomJobRequest struct {
// Required. The name of the CustomJob resource to be deleted.
// Format:
// `projects/{project}/locations/{location}/customJobs/{custom_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
func (*DeleteCustomJobRequest) Descriptor
func (*DeleteCustomJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteCustomJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteCustomJobRequest) GetName
func (x *DeleteCustomJobRequest) GetName() string
func (*DeleteCustomJobRequest) ProtoMessage
func (*DeleteCustomJobRequest) ProtoMessage()
func (*DeleteCustomJobRequest) ProtoReflect
func (x *DeleteCustomJobRequest) ProtoReflect() protoreflect.Message
func (*DeleteCustomJobRequest) Reset
func (x *DeleteCustomJobRequest) Reset()
func (*DeleteCustomJobRequest) String
func (x *DeleteCustomJobRequest) String() string
DeleteDataLabelingJobRequest
type DeleteDataLabelingJobRequest struct {
// Required. The name of the DataLabelingJob to be deleted.
// Format:
// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
func (*DeleteDataLabelingJobRequest) Descriptor
func (*DeleteDataLabelingJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteDataLabelingJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteDataLabelingJobRequest) GetName
func (x *DeleteDataLabelingJobRequest) GetName() string
func (*DeleteDataLabelingJobRequest) ProtoMessage
func (*DeleteDataLabelingJobRequest) ProtoMessage()
func (*DeleteDataLabelingJobRequest) ProtoReflect
func (x *DeleteDataLabelingJobRequest) ProtoReflect() protoreflect.Message
func (*DeleteDataLabelingJobRequest) Reset
func (x *DeleteDataLabelingJobRequest) Reset()
func (*DeleteDataLabelingJobRequest) String
func (x *DeleteDataLabelingJobRequest) String() string
DeleteDatasetRequest
type DeleteDatasetRequest struct {
// Required. The resource name of the Dataset to delete.
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
func (*DeleteDatasetRequest) Descriptor
func (*DeleteDatasetRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteDatasetRequest.ProtoReflect.Descriptor instead.
func (*DeleteDatasetRequest) GetName
func (x *DeleteDatasetRequest) GetName() string
func (*DeleteDatasetRequest) ProtoMessage
func (*DeleteDatasetRequest) ProtoMessage()
func (*DeleteDatasetRequest) ProtoReflect
func (x *DeleteDatasetRequest) ProtoReflect() protoreflect.Message
func (*DeleteDatasetRequest) Reset
func (x *DeleteDatasetRequest) Reset()
func (*DeleteDatasetRequest) String
func (x *DeleteDatasetRequest) String() string
DeleteEndpointRequest
type DeleteEndpointRequest struct {
// Required. The name of the Endpoint resource to be deleted.
// Format:
// `projects/{project}/locations/{location}/endpoints/{endpoint}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
func (*DeleteEndpointRequest) Descriptor
func (*DeleteEndpointRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteEndpointRequest.ProtoReflect.Descriptor instead.
func (*DeleteEndpointRequest) GetName
func (x *DeleteEndpointRequest) GetName() string
func (*DeleteEndpointRequest) ProtoMessage
func (*DeleteEndpointRequest) ProtoMessage()
func (*DeleteEndpointRequest) ProtoReflect
func (x *DeleteEndpointRequest) ProtoReflect() protoreflect.Message
func (*DeleteEndpointRequest) Reset
func (x *DeleteEndpointRequest) Reset()
func (*DeleteEndpointRequest) String
func (x *DeleteEndpointRequest) String() string
DeleteEntityTypeRequest
type DeleteEntityTypeRequest struct {
// Required. The name of the EntityType to be deleted.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// If set to true, any Features for this EntityType will also be deleted.
// (Otherwise, the request will only work if the EntityType has no Features.)
Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.DeleteEntityTypes][].
func (*DeleteEntityTypeRequest) Descriptor
func (*DeleteEntityTypeRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteEntityTypeRequest.ProtoReflect.Descriptor instead.
func (*DeleteEntityTypeRequest) GetForce
func (x *DeleteEntityTypeRequest) GetForce() bool
func (*DeleteEntityTypeRequest) GetName
func (x *DeleteEntityTypeRequest) GetName() string
func (*DeleteEntityTypeRequest) ProtoMessage
func (*DeleteEntityTypeRequest) ProtoMessage()
func (*DeleteEntityTypeRequest) ProtoReflect
func (x *DeleteEntityTypeRequest) ProtoReflect() protoreflect.Message
func (*DeleteEntityTypeRequest) Reset
func (x *DeleteEntityTypeRequest) Reset()
func (*DeleteEntityTypeRequest) String
func (x *DeleteEntityTypeRequest) String() string
DeleteExecutionRequest
type DeleteExecutionRequest struct {
// Required. The resource name of the Execution to delete.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Optional. The etag of the Execution to delete.
// If this is provided, it must match the server's etag. Otherwise, the
// request will fail with a FAILED_PRECONDITION.
Etag string `protobuf:"bytes,2,opt,name=etag,proto3" json:"etag,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
func (*DeleteExecutionRequest) Descriptor
func (*DeleteExecutionRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteExecutionRequest.ProtoReflect.Descriptor instead.
func (*DeleteExecutionRequest) GetEtag
func (x *DeleteExecutionRequest) GetEtag() string
func (*DeleteExecutionRequest) GetName
func (x *DeleteExecutionRequest) GetName() string
func (*DeleteExecutionRequest) ProtoMessage
func (*DeleteExecutionRequest) ProtoMessage()
func (*DeleteExecutionRequest) ProtoReflect
func (x *DeleteExecutionRequest) ProtoReflect() protoreflect.Message
func (*DeleteExecutionRequest) Reset
func (x *DeleteExecutionRequest) Reset()
func (*DeleteExecutionRequest) String
func (x *DeleteExecutionRequest) String() string
DeleteFeatureRequest
type DeleteFeatureRequest struct {
// Required. The name of the Features to be deleted.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
func (*DeleteFeatureRequest) Descriptor
func (*DeleteFeatureRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteFeatureRequest.ProtoReflect.Descriptor instead.
func (*DeleteFeatureRequest) GetName
func (x *DeleteFeatureRequest) GetName() string
func (*DeleteFeatureRequest) ProtoMessage
func (*DeleteFeatureRequest) ProtoMessage()
func (*DeleteFeatureRequest) ProtoReflect
func (x *DeleteFeatureRequest) ProtoReflect() protoreflect.Message
func (*DeleteFeatureRequest) Reset
func (x *DeleteFeatureRequest) Reset()
func (*DeleteFeatureRequest) String
func (x *DeleteFeatureRequest) String() string
DeleteFeaturestoreRequest
type DeleteFeaturestoreRequest struct {
// Required. The name of the Featurestore to be deleted.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// If set to true, any EntityTypes and Features for this Featurestore will
// also be deleted. (Otherwise, the request will only work if the Featurestore
// has no EntityTypes.)
Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
func (*DeleteFeaturestoreRequest) Descriptor
func (*DeleteFeaturestoreRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteFeaturestoreRequest.ProtoReflect.Descriptor instead.
func (*DeleteFeaturestoreRequest) GetForce
func (x *DeleteFeaturestoreRequest) GetForce() bool
func (*DeleteFeaturestoreRequest) GetName
func (x *DeleteFeaturestoreRequest) GetName() string
func (*DeleteFeaturestoreRequest) ProtoMessage
func (*DeleteFeaturestoreRequest) ProtoMessage()
func (*DeleteFeaturestoreRequest) ProtoReflect
func (x *DeleteFeaturestoreRequest) ProtoReflect() protoreflect.Message
func (*DeleteFeaturestoreRequest) Reset
func (x *DeleteFeaturestoreRequest) Reset()
func (*DeleteFeaturestoreRequest) String
func (x *DeleteFeaturestoreRequest) String() string
DeleteHyperparameterTuningJobRequest
type DeleteHyperparameterTuningJobRequest struct {
// Required. The name of the HyperparameterTuningJob resource to be deleted.
// Format:
// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
func (*DeleteHyperparameterTuningJobRequest) Descriptor
func (*DeleteHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteHyperparameterTuningJobRequest) GetName
func (x *DeleteHyperparameterTuningJobRequest) GetName() string
func (*DeleteHyperparameterTuningJobRequest) ProtoMessage
func (*DeleteHyperparameterTuningJobRequest) ProtoMessage()
func (*DeleteHyperparameterTuningJobRequest) ProtoReflect
func (x *DeleteHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message
func (*DeleteHyperparameterTuningJobRequest) Reset
func (x *DeleteHyperparameterTuningJobRequest) Reset()
func (*DeleteHyperparameterTuningJobRequest) String
func (x *DeleteHyperparameterTuningJobRequest) String() string
DeleteIndexEndpointRequest
type DeleteIndexEndpointRequest struct {
// Required. The name of the IndexEndpoint resource to be deleted.
// Format:
// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
func (*DeleteIndexEndpointRequest) Descriptor
func (*DeleteIndexEndpointRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteIndexEndpointRequest.ProtoReflect.Descriptor instead.
func (*DeleteIndexEndpointRequest) GetName
func (x *DeleteIndexEndpointRequest) GetName() string
func (*DeleteIndexEndpointRequest) ProtoMessage
func (*DeleteIndexEndpointRequest) ProtoMessage()
func (*DeleteIndexEndpointRequest) ProtoReflect
func (x *DeleteIndexEndpointRequest) ProtoReflect() protoreflect.Message
func (*DeleteIndexEndpointRequest) Reset
func (x *DeleteIndexEndpointRequest) Reset()
func (*DeleteIndexEndpointRequest) String
func (x *DeleteIndexEndpointRequest) String() string
DeleteIndexRequest
type DeleteIndexRequest struct {
// Required. The name of the Index resource to be deleted.
// Format:
// `projects/{project}/locations/{location}/indexes/{index}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
func (*DeleteIndexRequest) Descriptor
func (*DeleteIndexRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteIndexRequest.ProtoReflect.Descriptor instead.
func (*DeleteIndexRequest) GetName
func (x *DeleteIndexRequest) GetName() string
func (*DeleteIndexRequest) ProtoMessage
func (*DeleteIndexRequest) ProtoMessage()
func (*DeleteIndexRequest) ProtoReflect
func (x *DeleteIndexRequest) ProtoReflect() protoreflect.Message
func (*DeleteIndexRequest) Reset
func (x *DeleteIndexRequest) Reset()
func (*DeleteIndexRequest) String
func (x *DeleteIndexRequest) String() string
DeleteMetadataStoreOperationMetadata
type DeleteMetadataStoreOperationMetadata struct {
// Operation metadata for deleting a MetadataStore.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
func (*DeleteMetadataStoreOperationMetadata) Descriptor
func (*DeleteMetadataStoreOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use DeleteMetadataStoreOperationMetadata.ProtoReflect.Descriptor instead.
func (*DeleteMetadataStoreOperationMetadata) GetGenericMetadata
func (x *DeleteMetadataStoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*DeleteMetadataStoreOperationMetadata) ProtoMessage
func (*DeleteMetadataStoreOperationMetadata) ProtoMessage()
func (*DeleteMetadataStoreOperationMetadata) ProtoReflect
func (x *DeleteMetadataStoreOperationMetadata) ProtoReflect() protoreflect.Message
func (*DeleteMetadataStoreOperationMetadata) Reset
func (x *DeleteMetadataStoreOperationMetadata) Reset()
func (*DeleteMetadataStoreOperationMetadata) String
func (x *DeleteMetadataStoreOperationMetadata) String() string
DeleteMetadataStoreRequest
type DeleteMetadataStoreRequest struct {
// Required. The resource name of the MetadataStore to delete.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Deprecated: Field is no longer supported.
//
// Deprecated: Do not use.
Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
func (*DeleteMetadataStoreRequest) Descriptor
func (*DeleteMetadataStoreRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteMetadataStoreRequest.ProtoReflect.Descriptor instead.
func (*DeleteMetadataStoreRequest) GetForce
func (x *DeleteMetadataStoreRequest) GetForce() bool
Deprecated: Do not use.
func (*DeleteMetadataStoreRequest) GetName
func (x *DeleteMetadataStoreRequest) GetName() string
func (*DeleteMetadataStoreRequest) ProtoMessage
func (*DeleteMetadataStoreRequest) ProtoMessage()
func (*DeleteMetadataStoreRequest) ProtoReflect
func (x *DeleteMetadataStoreRequest) ProtoReflect() protoreflect.Message
func (*DeleteMetadataStoreRequest) Reset
func (x *DeleteMetadataStoreRequest) Reset()
func (*DeleteMetadataStoreRequest) String
func (x *DeleteMetadataStoreRequest) String() string
DeleteModelDeploymentMonitoringJobRequest
type DeleteModelDeploymentMonitoringJobRequest struct {
// Required. The resource name of the model monitoring job to delete.
// Format:
// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob].
func (*DeleteModelDeploymentMonitoringJobRequest) Descriptor
func (*DeleteModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteModelDeploymentMonitoringJobRequest) GetName
func (x *DeleteModelDeploymentMonitoringJobRequest) GetName() string
func (*DeleteModelDeploymentMonitoringJobRequest) ProtoMessage
func (*DeleteModelDeploymentMonitoringJobRequest) ProtoMessage()
func (*DeleteModelDeploymentMonitoringJobRequest) ProtoReflect
func (x *DeleteModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message
func (*DeleteModelDeploymentMonitoringJobRequest) Reset
func (x *DeleteModelDeploymentMonitoringJobRequest) Reset()
func (*DeleteModelDeploymentMonitoringJobRequest) String
func (x *DeleteModelDeploymentMonitoringJobRequest) String() string
DeleteModelRequest
type DeleteModelRequest struct {
// Required. The name of the Model resource to be deleted.
// Format: `projects/{project}/locations/{location}/models/{model}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
func (*DeleteModelRequest) Descriptor
func (*DeleteModelRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteModelRequest.ProtoReflect.Descriptor instead.
func (*DeleteModelRequest) GetName
func (x *DeleteModelRequest) GetName() string
func (*DeleteModelRequest) ProtoMessage
func (*DeleteModelRequest) ProtoMessage()
func (*DeleteModelRequest) ProtoReflect
func (x *DeleteModelRequest) ProtoReflect() protoreflect.Message
func (*DeleteModelRequest) Reset
func (x *DeleteModelRequest) Reset()
func (*DeleteModelRequest) String
func (x *DeleteModelRequest) String() string
DeleteModelVersionRequest
type DeleteModelVersionRequest struct {
// Required. The name of the model version to be deleted, with a version ID
// explicitly included.
//
// Example: `projects/{project}/locations/{location}/models/{model}@1234`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
func (*DeleteModelVersionRequest) Descriptor
func (*DeleteModelVersionRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteModelVersionRequest.ProtoReflect.Descriptor instead.
func (*DeleteModelVersionRequest) GetName
func (x *DeleteModelVersionRequest) GetName() string
func (*DeleteModelVersionRequest) ProtoMessage
func (*DeleteModelVersionRequest) ProtoMessage()
func (*DeleteModelVersionRequest) ProtoReflect
func (x *DeleteModelVersionRequest) ProtoReflect() protoreflect.Message
func (*DeleteModelVersionRequest) Reset
func (x *DeleteModelVersionRequest) Reset()
func (*DeleteModelVersionRequest) String
func (x *DeleteModelVersionRequest) String() string
DeleteNasJobRequest
type DeleteNasJobRequest struct {
// Required. The name of the NasJob resource to be deleted.
// Format:
// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.DeleteNasJob][google.cloud.aiplatform.v1.JobService.DeleteNasJob].
func (*DeleteNasJobRequest) Descriptor
func (*DeleteNasJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteNasJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteNasJobRequest) GetName
func (x *DeleteNasJobRequest) GetName() string
func (*DeleteNasJobRequest) ProtoMessage
func (*DeleteNasJobRequest) ProtoMessage()
func (*DeleteNasJobRequest) ProtoReflect
func (x *DeleteNasJobRequest) ProtoReflect() protoreflect.Message
func (*DeleteNasJobRequest) Reset
func (x *DeleteNasJobRequest) Reset()
func (*DeleteNasJobRequest) String
func (x *DeleteNasJobRequest) String() string
DeleteOperationMetadata
type DeleteOperationMetadata struct {
// The common part of the operation metadata.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform deletes of any entities.
func (*DeleteOperationMetadata) Descriptor
func (*DeleteOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use DeleteOperationMetadata.ProtoReflect.Descriptor instead.
func (*DeleteOperationMetadata) GetGenericMetadata
func (x *DeleteOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*DeleteOperationMetadata) ProtoMessage
func (*DeleteOperationMetadata) ProtoMessage()
func (*DeleteOperationMetadata) ProtoReflect
func (x *DeleteOperationMetadata) ProtoReflect() protoreflect.Message
func (*DeleteOperationMetadata) Reset
func (x *DeleteOperationMetadata) Reset()
func (*DeleteOperationMetadata) String
func (x *DeleteOperationMetadata) String() string
DeletePipelineJobRequest
type DeletePipelineJobRequest struct {
// Required. The name of the PipelineJob resource to be deleted.
// Format:
// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
func (*DeletePipelineJobRequest) Descriptor
func (*DeletePipelineJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeletePipelineJobRequest.ProtoReflect.Descriptor instead.
func (*DeletePipelineJobRequest) GetName
func (x *DeletePipelineJobRequest) GetName() string
func (*DeletePipelineJobRequest) ProtoMessage
func (*DeletePipelineJobRequest) ProtoMessage()
func (*DeletePipelineJobRequest) ProtoReflect
func (x *DeletePipelineJobRequest) ProtoReflect() protoreflect.Message
func (*DeletePipelineJobRequest) Reset
func (x *DeletePipelineJobRequest) Reset()
func (*DeletePipelineJobRequest) String
func (x *DeletePipelineJobRequest) String() string
DeleteSpecialistPoolRequest
type DeleteSpecialistPoolRequest struct {
// Required. The resource name of the SpecialistPool to delete. Format:
// `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// If set to true, any specialist managers in this SpecialistPool will also be
// deleted. (Otherwise, the request will only work if the SpecialistPool has
// no specialist managers.)
Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
// contains filtered or unexported fields
}
Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
func (*DeleteSpecialistPoolRequest) Descriptor
func (*DeleteSpecialistPoolRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteSpecialistPoolRequest.ProtoReflect.Descriptor instead.
func (*DeleteSpecialistPoolRequest) GetForce
func (x *DeleteSpecialistPoolRequest) GetForce() bool
func (*DeleteSpecialistPoolRequest) GetName
func (x *DeleteSpecialistPoolRequest) GetName() string
func (*DeleteSpecialistPoolRequest) ProtoMessage
func (*DeleteSpecialistPoolRequest) ProtoMessage()
func (*DeleteSpecialistPoolRequest) ProtoReflect
func (x *DeleteSpecialistPoolRequest) ProtoReflect() protoreflect.Message
func (*DeleteSpecialistPoolRequest) Reset
func (x *DeleteSpecialistPoolRequest) Reset()
func (*DeleteSpecialistPoolRequest) String
func (x *DeleteSpecialistPoolRequest) String() string
DeleteStudyRequest
type DeleteStudyRequest struct {
// Required. The name of the Study resource to be deleted.
// Format: `projects/{project}/locations/{location}/studies/{study}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
func (*DeleteStudyRequest) Descriptor
func (*DeleteStudyRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteStudyRequest.ProtoReflect.Descriptor instead.
func (*DeleteStudyRequest) GetName
func (x *DeleteStudyRequest) GetName() string
func (*DeleteStudyRequest) ProtoMessage
func (*DeleteStudyRequest) ProtoMessage()
func (*DeleteStudyRequest) ProtoReflect
func (x *DeleteStudyRequest) ProtoReflect() protoreflect.Message
func (*DeleteStudyRequest) Reset
func (x *DeleteStudyRequest) Reset()
func (*DeleteStudyRequest) String
func (x *DeleteStudyRequest) String() string
DeleteTensorboardExperimentRequest
type DeleteTensorboardExperimentRequest struct {
// Required. The name of the TensorboardExperiment to be deleted.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
func (*DeleteTensorboardExperimentRequest) Descriptor
func (*DeleteTensorboardExperimentRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteTensorboardExperimentRequest.ProtoReflect.Descriptor instead.
func (*DeleteTensorboardExperimentRequest) GetName
func (x *DeleteTensorboardExperimentRequest) GetName() string
func (*DeleteTensorboardExperimentRequest) ProtoMessage
func (*DeleteTensorboardExperimentRequest) ProtoMessage()
func (*DeleteTensorboardExperimentRequest) ProtoReflect
func (x *DeleteTensorboardExperimentRequest) ProtoReflect() protoreflect.Message
func (*DeleteTensorboardExperimentRequest) Reset
func (x *DeleteTensorboardExperimentRequest) Reset()
func (*DeleteTensorboardExperimentRequest) String
func (x *DeleteTensorboardExperimentRequest) String() string
DeleteTensorboardRequest
type DeleteTensorboardRequest struct {
// Required. The name of the Tensorboard to be deleted.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
func (*DeleteTensorboardRequest) Descriptor
func (*DeleteTensorboardRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteTensorboardRequest.ProtoReflect.Descriptor instead.
func (*DeleteTensorboardRequest) GetName
func (x *DeleteTensorboardRequest) GetName() string
func (*DeleteTensorboardRequest) ProtoMessage
func (*DeleteTensorboardRequest) ProtoMessage()
func (*DeleteTensorboardRequest) ProtoReflect
func (x *DeleteTensorboardRequest) ProtoReflect() protoreflect.Message
func (*DeleteTensorboardRequest) Reset
func (x *DeleteTensorboardRequest) Reset()
func (*DeleteTensorboardRequest) String
func (x *DeleteTensorboardRequest) String() string
DeleteTensorboardRunRequest
type DeleteTensorboardRunRequest struct {
// Required. The name of the TensorboardRun to be deleted.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
func (*DeleteTensorboardRunRequest) Descriptor
func (*DeleteTensorboardRunRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteTensorboardRunRequest.ProtoReflect.Descriptor instead.
func (*DeleteTensorboardRunRequest) GetName
func (x *DeleteTensorboardRunRequest) GetName() string
func (*DeleteTensorboardRunRequest) ProtoMessage
func (*DeleteTensorboardRunRequest) ProtoMessage()
func (*DeleteTensorboardRunRequest) ProtoReflect
func (x *DeleteTensorboardRunRequest) ProtoReflect() protoreflect.Message
func (*DeleteTensorboardRunRequest) Reset
func (x *DeleteTensorboardRunRequest) Reset()
func (*DeleteTensorboardRunRequest) String
func (x *DeleteTensorboardRunRequest) String() string
DeleteTensorboardTimeSeriesRequest
type DeleteTensorboardTimeSeriesRequest struct {
// Required. The name of the TensorboardTimeSeries to be deleted.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
func (*DeleteTensorboardTimeSeriesRequest) Descriptor
func (*DeleteTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
func (*DeleteTensorboardTimeSeriesRequest) GetName
func (x *DeleteTensorboardTimeSeriesRequest) GetName() string
func (*DeleteTensorboardTimeSeriesRequest) ProtoMessage
func (*DeleteTensorboardTimeSeriesRequest) ProtoMessage()
func (*DeleteTensorboardTimeSeriesRequest) ProtoReflect
func (x *DeleteTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message
func (*DeleteTensorboardTimeSeriesRequest) Reset
func (x *DeleteTensorboardTimeSeriesRequest) Reset()
func (*DeleteTensorboardTimeSeriesRequest) String
func (x *DeleteTensorboardTimeSeriesRequest) String() string
DeleteTrainingPipelineRequest
type DeleteTrainingPipelineRequest struct {
// Required. The name of the TrainingPipeline resource to be deleted.
// Format:
// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
func (*DeleteTrainingPipelineRequest) Descriptor
func (*DeleteTrainingPipelineRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteTrainingPipelineRequest.ProtoReflect.Descriptor instead.
func (*DeleteTrainingPipelineRequest) GetName
func (x *DeleteTrainingPipelineRequest) GetName() string
func (*DeleteTrainingPipelineRequest) ProtoMessage
func (*DeleteTrainingPipelineRequest) ProtoMessage()
func (*DeleteTrainingPipelineRequest) ProtoReflect
func (x *DeleteTrainingPipelineRequest) ProtoReflect() protoreflect.Message
func (*DeleteTrainingPipelineRequest) Reset
func (x *DeleteTrainingPipelineRequest) Reset()
func (*DeleteTrainingPipelineRequest) String
func (x *DeleteTrainingPipelineRequest) String() string
DeleteTrialRequest
type DeleteTrialRequest struct {
// Required. The Trial's name.
// Format:
// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
func (*DeleteTrialRequest) Descriptor
func (*DeleteTrialRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeleteTrialRequest.ProtoReflect.Descriptor instead.
func (*DeleteTrialRequest) GetName
func (x *DeleteTrialRequest) GetName() string
func (*DeleteTrialRequest) ProtoMessage
func (*DeleteTrialRequest) ProtoMessage()
func (*DeleteTrialRequest) ProtoReflect
func (x *DeleteTrialRequest) ProtoReflect() protoreflect.Message
func (*DeleteTrialRequest) Reset
func (x *DeleteTrialRequest) Reset()
func (*DeleteTrialRequest) String
func (x *DeleteTrialRequest) String() string
DeployIndexOperationMetadata
type DeployIndexOperationMetadata struct {
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// The unique index id specified by user
DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
func (*DeployIndexOperationMetadata) Descriptor
func (*DeployIndexOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use DeployIndexOperationMetadata.ProtoReflect.Descriptor instead.
func (*DeployIndexOperationMetadata) GetDeployedIndexId
func (x *DeployIndexOperationMetadata) GetDeployedIndexId() string
func (*DeployIndexOperationMetadata) GetGenericMetadata
func (x *DeployIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*DeployIndexOperationMetadata) ProtoMessage
func (*DeployIndexOperationMetadata) ProtoMessage()
func (*DeployIndexOperationMetadata) ProtoReflect
func (x *DeployIndexOperationMetadata) ProtoReflect() protoreflect.Message
func (*DeployIndexOperationMetadata) Reset
func (x *DeployIndexOperationMetadata) Reset()
func (*DeployIndexOperationMetadata) String
func (x *DeployIndexOperationMetadata) String() string
DeployIndexRequest
type DeployIndexRequest struct {
// Required. The name of the IndexEndpoint resource into which to deploy an
// Index. Format:
// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
// Required. The DeployedIndex to be created within the IndexEndpoint.
DeployedIndex *DeployedIndex `protobuf:"bytes,2,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
func (*DeployIndexRequest) Descriptor
func (*DeployIndexRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeployIndexRequest.ProtoReflect.Descriptor instead.
func (*DeployIndexRequest) GetDeployedIndex
func (x *DeployIndexRequest) GetDeployedIndex() *DeployedIndex
func (*DeployIndexRequest) GetIndexEndpoint
func (x *DeployIndexRequest) GetIndexEndpoint() string
func (*DeployIndexRequest) ProtoMessage
func (*DeployIndexRequest) ProtoMessage()
func (*DeployIndexRequest) ProtoReflect
func (x *DeployIndexRequest) ProtoReflect() protoreflect.Message
func (*DeployIndexRequest) Reset
func (x *DeployIndexRequest) Reset()
func (*DeployIndexRequest) String
func (x *DeployIndexRequest) String() string
DeployIndexResponse
type DeployIndexResponse struct {
// The DeployedIndex that had been deployed in the IndexEndpoint.
DeployedIndex *DeployedIndex `protobuf:"bytes,1,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
// contains filtered or unexported fields
}
Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
func (*DeployIndexResponse) Descriptor
func (*DeployIndexResponse) Descriptor() ([]byte, []int)
Deprecated: Use DeployIndexResponse.ProtoReflect.Descriptor instead.
func (*DeployIndexResponse) GetDeployedIndex
func (x *DeployIndexResponse) GetDeployedIndex() *DeployedIndex
func (*DeployIndexResponse) ProtoMessage
func (*DeployIndexResponse) ProtoMessage()
func (*DeployIndexResponse) ProtoReflect
func (x *DeployIndexResponse) ProtoReflect() protoreflect.Message
func (*DeployIndexResponse) Reset
func (x *DeployIndexResponse) Reset()
func (*DeployIndexResponse) String
func (x *DeployIndexResponse) String() string
DeployModelOperationMetadata
type DeployModelOperationMetadata struct {
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
func (*DeployModelOperationMetadata) Descriptor
func (*DeployModelOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use DeployModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*DeployModelOperationMetadata) GetGenericMetadata
func (x *DeployModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*DeployModelOperationMetadata) ProtoMessage
func (*DeployModelOperationMetadata) ProtoMessage()
func (*DeployModelOperationMetadata) ProtoReflect
func (x *DeployModelOperationMetadata) ProtoReflect() protoreflect.Message
func (*DeployModelOperationMetadata) Reset
func (x *DeployModelOperationMetadata) Reset()
func (*DeployModelOperationMetadata) String
func (x *DeployModelOperationMetadata) String() string
DeployModelRequest
type DeployModelRequest struct {
Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
DeployedModel *DeployedModel `protobuf:"bytes,2,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
TrafficSplit map[string]int32 "" /* 186 byte string literal not displayed */
}
Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
func (*DeployModelRequest) Descriptor
func (*DeployModelRequest) Descriptor() ([]byte, []int)
Deprecated: Use DeployModelRequest.ProtoReflect.Descriptor instead.
func (*DeployModelRequest) GetDeployedModel
func (x *DeployModelRequest) GetDeployedModel() *DeployedModel
func (*DeployModelRequest) GetEndpoint
func (x *DeployModelRequest) GetEndpoint() string
func (*DeployModelRequest) GetTrafficSplit
func (x *DeployModelRequest) GetTrafficSplit() map[string]int32
func (*DeployModelRequest) ProtoMessage
func (*DeployModelRequest) ProtoMessage()
func (*DeployModelRequest) ProtoReflect
func (x *DeployModelRequest) ProtoReflect() protoreflect.Message
func (*DeployModelRequest) Reset
func (x *DeployModelRequest) Reset()
func (*DeployModelRequest) String
func (x *DeployModelRequest) String() string
DeployModelResponse
type DeployModelResponse struct {
// The DeployedModel that had been deployed in the Endpoint.
DeployedModel *DeployedModel `protobuf:"bytes,1,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
// contains filtered or unexported fields
}
Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
func (*DeployModelResponse) Descriptor
func (*DeployModelResponse) Descriptor() ([]byte, []int)
Deprecated: Use DeployModelResponse.ProtoReflect.Descriptor instead.
func (*DeployModelResponse) GetDeployedModel
func (x *DeployModelResponse) GetDeployedModel() *DeployedModel
func (*DeployModelResponse) ProtoMessage
func (*DeployModelResponse) ProtoMessage()
func (*DeployModelResponse) ProtoReflect
func (x *DeployModelResponse) ProtoReflect() protoreflect.Message
func (*DeployModelResponse) Reset
func (x *DeployModelResponse) Reset()
func (*DeployModelResponse) String
func (x *DeployModelResponse) String() string
DeployedIndex
type DeployedIndex struct {
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
Index string `protobuf:"bytes,2,opt,name=index,proto3" json:"index,omitempty"`
DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
PrivateEndpoints *IndexPrivateEndpoints `protobuf:"bytes,5,opt,name=private_endpoints,json=privateEndpoints,proto3" json:"private_endpoints,omitempty"`
IndexSyncTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=index_sync_time,json=indexSyncTime,proto3" json:"index_sync_time,omitempty"`
AutomaticResources *AutomaticResources `protobuf:"bytes,7,opt,name=automatic_resources,json=automaticResources,proto3" json:"automatic_resources,omitempty"`
DedicatedResources *DedicatedResources `protobuf:"bytes,16,opt,name=dedicated_resources,json=dedicatedResources,proto3" json:"dedicated_resources,omitempty"`
EnableAccessLogging bool `protobuf:"varint,8,opt,name=enable_access_logging,json=enableAccessLogging,proto3" json:"enable_access_logging,omitempty"`
DeployedIndexAuthConfig *DeployedIndexAuthConfig "" /* 134 byte string literal not displayed */
ReservedIpRanges []string `protobuf:"bytes,10,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"`
DeploymentGroup string `protobuf:"bytes,11,opt,name=deployment_group,json=deploymentGroup,proto3" json:"deployment_group,omitempty"`
}
A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.
func (*DeployedIndex) Descriptor
func (*DeployedIndex) Descriptor() ([]byte, []int)
Deprecated: Use DeployedIndex.ProtoReflect.Descriptor instead.
func (*DeployedIndex) GetAutomaticResources
func (x *DeployedIndex) GetAutomaticResources() *AutomaticResources
func (*DeployedIndex) GetCreateTime
func (x *DeployedIndex) GetCreateTime() *timestamppb.Timestamp
func (*DeployedIndex) GetDedicatedResources
func (x *DeployedIndex) GetDedicatedResources() *DedicatedResources
func (*DeployedIndex) GetDeployedIndexAuthConfig
func (x *DeployedIndex) GetDeployedIndexAuthConfig() *DeployedIndexAuthConfig
func (*DeployedIndex) GetDeploymentGroup
func (x *DeployedIndex) GetDeploymentGroup() string
func (*DeployedIndex) GetDisplayName
func (x *DeployedIndex) GetDisplayName() string
func (*DeployedIndex) GetEnableAccessLogging
func (x *DeployedIndex) GetEnableAccessLogging() bool
func (*DeployedIndex) GetId
func (x *DeployedIndex) GetId() string
func (*DeployedIndex) GetIndex
func (x *DeployedIndex) GetIndex() string
func (*DeployedIndex) GetIndexSyncTime
func (x *DeployedIndex) GetIndexSyncTime() *timestamppb.Timestamp
func (*DeployedIndex) GetPrivateEndpoints
func (x *DeployedIndex) GetPrivateEndpoints() *IndexPrivateEndpoints
func (*DeployedIndex) GetReservedIpRanges
func (x *DeployedIndex) GetReservedIpRanges() []string
func (*DeployedIndex) ProtoMessage
func (*DeployedIndex) ProtoMessage()
func (*DeployedIndex) ProtoReflect
func (x *DeployedIndex) ProtoReflect() protoreflect.Message
func (*DeployedIndex) Reset
func (x *DeployedIndex) Reset()
func (*DeployedIndex) String
func (x *DeployedIndex) String() string
DeployedIndexAuthConfig
type DeployedIndexAuthConfig struct {
// Defines the authentication provider that the DeployedIndex uses.
AuthProvider *DeployedIndexAuthConfig_AuthProvider `protobuf:"bytes,1,opt,name=auth_provider,json=authProvider,proto3" json:"auth_provider,omitempty"`
// contains filtered or unexported fields
}
Used to set up the auth on the DeployedIndex's private endpoint.
func (*DeployedIndexAuthConfig) Descriptor
func (*DeployedIndexAuthConfig) Descriptor() ([]byte, []int)
Deprecated: Use DeployedIndexAuthConfig.ProtoReflect.Descriptor instead.
func (*DeployedIndexAuthConfig) GetAuthProvider
func (x *DeployedIndexAuthConfig) GetAuthProvider() *DeployedIndexAuthConfig_AuthProvider
func (*DeployedIndexAuthConfig) ProtoMessage
func (*DeployedIndexAuthConfig) ProtoMessage()
func (*DeployedIndexAuthConfig) ProtoReflect
func (x *DeployedIndexAuthConfig) ProtoReflect() protoreflect.Message
func (*DeployedIndexAuthConfig) Reset
func (x *DeployedIndexAuthConfig) Reset()
func (*DeployedIndexAuthConfig) String
func (x *DeployedIndexAuthConfig) String() string
DeployedIndexAuthConfig_AuthProvider
type DeployedIndexAuthConfig_AuthProvider struct {
// The list of JWT
// [audiences](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32#section-4.1.3).
// that are allowed to access. A JWT containing any of these audiences will
// be accepted.
Audiences []string `protobuf:"bytes,1,rep,name=audiences,proto3" json:"audiences,omitempty"`
// A list of allowed JWT issuers. Each entry must be a valid Google
// service account, in the following format:
//
// `service-account-name@project-id.iam.gserviceaccount.com`
AllowedIssuers []string `protobuf:"bytes,2,rep,name=allowed_issuers,json=allowedIssuers,proto3" json:"allowed_issuers,omitempty"`
// contains filtered or unexported fields
}
Configuration for an authentication provider, including support for JSON Web Token (JWT).
func (*DeployedIndexAuthConfig_AuthProvider) Descriptor
func (*DeployedIndexAuthConfig_AuthProvider) Descriptor() ([]byte, []int)
Deprecated: Use DeployedIndexAuthConfig_AuthProvider.ProtoReflect.Descriptor instead.
func (*DeployedIndexAuthConfig_AuthProvider) GetAllowedIssuers
func (x *DeployedIndexAuthConfig_AuthProvider) GetAllowedIssuers() []string
func (*DeployedIndexAuthConfig_AuthProvider) GetAudiences
func (x *DeployedIndexAuthConfig_AuthProvider) GetAudiences() []string
func (*DeployedIndexAuthConfig_AuthProvider) ProtoMessage
func (*DeployedIndexAuthConfig_AuthProvider) ProtoMessage()
func (*DeployedIndexAuthConfig_AuthProvider) ProtoReflect
func (x *DeployedIndexAuthConfig_AuthProvider) ProtoReflect() protoreflect.Message
func (*DeployedIndexAuthConfig_AuthProvider) Reset
func (x *DeployedIndexAuthConfig_AuthProvider) Reset()
func (*DeployedIndexAuthConfig_AuthProvider) String
func (x *DeployedIndexAuthConfig_AuthProvider) String() string
DeployedIndexRef
type DeployedIndexRef struct {
// Immutable. A resource name of the IndexEndpoint.
IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
// Immutable. The ID of the DeployedIndex in the above IndexEndpoint.
DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
// contains filtered or unexported fields
}
Points to a DeployedIndex.
func (*DeployedIndexRef) Descriptor
func (*DeployedIndexRef) Descriptor() ([]byte, []int)
Deprecated: Use DeployedIndexRef.ProtoReflect.Descriptor instead.
func (*DeployedIndexRef) GetDeployedIndexId
func (x *DeployedIndexRef) GetDeployedIndexId() string
func (*DeployedIndexRef) GetIndexEndpoint
func (x *DeployedIndexRef) GetIndexEndpoint() string
func (*DeployedIndexRef) ProtoMessage
func (*DeployedIndexRef) ProtoMessage()
func (*DeployedIndexRef) ProtoReflect
func (x *DeployedIndexRef) ProtoReflect() protoreflect.Message
func (*DeployedIndexRef) Reset
func (x *DeployedIndexRef) Reset()
func (*DeployedIndexRef) String
func (x *DeployedIndexRef) String() string
DeployedModel
type DeployedModel struct {
PredictionResources isDeployedModel_PredictionResources `protobuf_oneof:"prediction_resources"`
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
Model string `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
ModelVersionId string `protobuf:"bytes,18,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
ExplanationSpec *ExplanationSpec `protobuf:"bytes,9,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
ServiceAccount string `protobuf:"bytes,11,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
DisableContainerLogging bool "" /* 134 byte string literal not displayed */
EnableAccessLogging bool `protobuf:"varint,13,opt,name=enable_access_logging,json=enableAccessLogging,proto3" json:"enable_access_logging,omitempty"`
PrivateEndpoints *PrivateEndpoints `protobuf:"bytes,14,opt,name=private_endpoints,json=privateEndpoints,proto3" json:"private_endpoints,omitempty"`
}
A deployment of a Model. Endpoints contain one or more DeployedModels.
func (*DeployedModel) Descriptor
func (*DeployedModel) Descriptor() ([]byte, []int)
Deprecated: Use DeployedModel.ProtoReflect.Descriptor instead.
func (*DeployedModel) GetAutomaticResources
func (x *DeployedModel) GetAutomaticResources() *AutomaticResources
func (*DeployedModel) GetCreateTime
func (x *DeployedModel) GetCreateTime() *timestamppb.Timestamp
func (*DeployedModel) GetDedicatedResources
func (x *DeployedModel) GetDedicatedResources() *DedicatedResources
func (*DeployedModel) GetDisableContainerLogging
func (x *DeployedModel) GetDisableContainerLogging() bool
func (*DeployedModel) GetDisplayName
func (x *DeployedModel) GetDisplayName() string
func (*DeployedModel) GetEnableAccessLogging
func (x *DeployedModel) GetEnableAccessLogging() bool
func (*DeployedModel) GetExplanationSpec
func (x *DeployedModel) GetExplanationSpec() *ExplanationSpec
func (*DeployedModel) GetId
func (x *DeployedModel) GetId() string
func (*DeployedModel) GetModel
func (x *DeployedModel) GetModel() string
func (*DeployedModel) GetModelVersionId
func (x *DeployedModel) GetModelVersionId() string
func (*DeployedModel) GetPredictionResources
func (m *DeployedModel) GetPredictionResources() isDeployedModel_PredictionResources
func (*DeployedModel) GetPrivateEndpoints
func (x *DeployedModel) GetPrivateEndpoints() *PrivateEndpoints
func (*DeployedModel) GetServiceAccount
func (x *DeployedModel) GetServiceAccount() string
func (*DeployedModel) ProtoMessage
func (*DeployedModel) ProtoMessage()
func (*DeployedModel) ProtoReflect
func (x *DeployedModel) ProtoReflect() protoreflect.Message
func (*DeployedModel) Reset
func (x *DeployedModel) Reset()
func (*DeployedModel) String
func (x *DeployedModel) String() string
DeployedModelRef
type DeployedModelRef struct {
// Immutable. A resource name of an Endpoint.
Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
// Immutable. An ID of a DeployedModel in the above Endpoint.
DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
// contains filtered or unexported fields
}
Points to a DeployedModel.
func (*DeployedModelRef) Descriptor
func (*DeployedModelRef) Descriptor() ([]byte, []int)
Deprecated: Use DeployedModelRef.ProtoReflect.Descriptor instead.
func (*DeployedModelRef) GetDeployedModelId
func (x *DeployedModelRef) GetDeployedModelId() string
func (*DeployedModelRef) GetEndpoint
func (x *DeployedModelRef) GetEndpoint() string
func (*DeployedModelRef) ProtoMessage
func (*DeployedModelRef) ProtoMessage()
func (*DeployedModelRef) ProtoReflect
func (x *DeployedModelRef) ProtoReflect() protoreflect.Message
func (*DeployedModelRef) Reset
func (x *DeployedModelRef) Reset()
func (*DeployedModelRef) String
func (x *DeployedModelRef) String() string
DeployedModel_AutomaticResources
type DeployedModel_AutomaticResources struct {
// A description of resources that to large degree are decided by Vertex
// AI, and require only a modest additional configuration.
AutomaticResources *AutomaticResources `protobuf:"bytes,8,opt,name=automatic_resources,json=automaticResources,proto3,oneof"`
}
DeployedModel_DedicatedResources
type DeployedModel_DedicatedResources struct {
// A description of resources that are dedicated to the DeployedModel, and
// that need a higher degree of manual configuration.
DedicatedResources *DedicatedResources `protobuf:"bytes,7,opt,name=dedicated_resources,json=dedicatedResources,proto3,oneof"`
}
DestinationFeatureSetting
type DestinationFeatureSetting struct {
// Required. The ID of the Feature to apply the setting to.
FeatureId string `protobuf:"bytes,1,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
// Specify the field name in the export destination. If not specified,
// Feature ID is used.
DestinationField string `protobuf:"bytes,2,opt,name=destination_field,json=destinationField,proto3" json:"destination_field,omitempty"`
// contains filtered or unexported fields
}
func (*DestinationFeatureSetting) Descriptor
func (*DestinationFeatureSetting) Descriptor() ([]byte, []int)
Deprecated: Use DestinationFeatureSetting.ProtoReflect.Descriptor instead.
func (*DestinationFeatureSetting) GetDestinationField
func (x *DestinationFeatureSetting) GetDestinationField() string
func (*DestinationFeatureSetting) GetFeatureId
func (x *DestinationFeatureSetting) GetFeatureId() string
func (*DestinationFeatureSetting) ProtoMessage
func (*DestinationFeatureSetting) ProtoMessage()
func (*DestinationFeatureSetting) ProtoReflect
func (x *DestinationFeatureSetting) ProtoReflect() protoreflect.Message
func (*DestinationFeatureSetting) Reset
func (x *DestinationFeatureSetting) Reset()
func (*DestinationFeatureSetting) String
func (x *DestinationFeatureSetting) String() string
DiskSpec
type DiskSpec struct {
// Type of the boot disk (default is "pd-ssd").
// Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
// "pd-standard" (Persistent Disk Hard Disk Drive).
BootDiskType string `protobuf:"bytes,1,opt,name=boot_disk_type,json=bootDiskType,proto3" json:"boot_disk_type,omitempty"`
// Size in GB of the boot disk (default is 100GB).
BootDiskSizeGb int32 `protobuf:"varint,2,opt,name=boot_disk_size_gb,json=bootDiskSizeGb,proto3" json:"boot_disk_size_gb,omitempty"`
// contains filtered or unexported fields
}
Represents the spec of disk options.
func (*DiskSpec) Descriptor
Deprecated: Use DiskSpec.ProtoReflect.Descriptor instead.
func (*DiskSpec) GetBootDiskSizeGb
func (*DiskSpec) GetBootDiskType
func (*DiskSpec) ProtoMessage
func (*DiskSpec) ProtoMessage()
func (*DiskSpec) ProtoReflect
func (x *DiskSpec) ProtoReflect() protoreflect.Message
func (*DiskSpec) Reset
func (x *DiskSpec) Reset()
func (*DiskSpec) String
DoubleArray
type DoubleArray struct {
// A list of double values.
Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
// contains filtered or unexported fields
}
A list of double values.
func (*DoubleArray) Descriptor
func (*DoubleArray) Descriptor() ([]byte, []int)
Deprecated: Use DoubleArray.ProtoReflect.Descriptor instead.
func (*DoubleArray) GetValues
func (x *DoubleArray) GetValues() []float64
func (*DoubleArray) ProtoMessage
func (*DoubleArray) ProtoMessage()
func (*DoubleArray) ProtoReflect
func (x *DoubleArray) ProtoReflect() protoreflect.Message
func (*DoubleArray) Reset
func (x *DoubleArray) Reset()
func (*DoubleArray) String
func (x *DoubleArray) String() string
EncryptionSpec
type EncryptionSpec struct {
// Required. The Cloud KMS resource identifier of the customer managed
// encryption key used to protect a resource. Has the form:
// `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
// The key needs to be in the same region as where the compute resource is
// created.
KmsKeyName string `protobuf:"bytes,1,opt,name=kms_key_name,json=kmsKeyName,proto3" json:"kms_key_name,omitempty"`
// contains filtered or unexported fields
}
Represents a customer-managed encryption key spec that can be applied to a top-level resource.
func (*EncryptionSpec) Descriptor
func (*EncryptionSpec) Descriptor() ([]byte, []int)
Deprecated: Use EncryptionSpec.ProtoReflect.Descriptor instead.
func (*EncryptionSpec) GetKmsKeyName
func (x *EncryptionSpec) GetKmsKeyName() string
func (*EncryptionSpec) ProtoMessage
func (*EncryptionSpec) ProtoMessage()
func (*EncryptionSpec) ProtoReflect
func (x *EncryptionSpec) ProtoReflect() protoreflect.Message
func (*EncryptionSpec) Reset
func (x *EncryptionSpec) Reset()
func (*EncryptionSpec) String
func (x *EncryptionSpec) String() string
Endpoint
type Endpoint struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
DeployedModels []*DeployedModel `protobuf:"bytes,4,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"`
TrafficSplit map[string]int32 "" /* 186 byte string literal not displayed */
Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
EncryptionSpec *EncryptionSpec `protobuf:"bytes,10,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
Network string `protobuf:"bytes,13,opt,name=network,proto3" json:"network,omitempty"`
EnablePrivateServiceConnect bool "" /* 148 byte string literal not displayed */
ModelDeploymentMonitoringJob string "" /* 150 byte string literal not displayed */
PredictRequestResponseLoggingConfig *PredictRequestResponseLoggingConfig "" /* 173 byte string literal not displayed */
}
Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.
func (*Endpoint) Descriptor
Deprecated: Use Endpoint.ProtoReflect.Descriptor instead.
func (*Endpoint) GetCreateTime
func (x *Endpoint) GetCreateTime() *timestamppb.Timestamp
func (*Endpoint) GetDeployedModels
func (x *Endpoint) GetDeployedModels() []*DeployedModel
func (*Endpoint) GetDescription
func (*Endpoint) GetDisplayName
func (*Endpoint) GetEnablePrivateServiceConnect
Deprecated: Do not use.
func (*Endpoint) GetEncryptionSpec
func (x *Endpoint) GetEncryptionSpec() *EncryptionSpec
func (*Endpoint) GetEtag
func (*Endpoint) GetLabels
func (*Endpoint) GetModelDeploymentMonitoringJob
func (*Endpoint) GetName
func (*Endpoint) GetNetwork
func (*Endpoint) GetPredictRequestResponseLoggingConfig
func (x *Endpoint) GetPredictRequestResponseLoggingConfig() *PredictRequestResponseLoggingConfig
func (*Endpoint) GetTrafficSplit
func (*Endpoint) GetUpdateTime
func (x *Endpoint) GetUpdateTime() *timestamppb.Timestamp
func (*Endpoint) ProtoMessage
func (*Endpoint) ProtoMessage()
func (*Endpoint) ProtoReflect
func (x *Endpoint) ProtoReflect() protoreflect.Message
func (*Endpoint) Reset
func (x *Endpoint) Reset()
func (*Endpoint) String
EndpointServiceClient
type EndpointServiceClient interface {
// Creates an Endpoint.
CreateEndpoint(ctx context.Context, in *CreateEndpointRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Gets an Endpoint.
GetEndpoint(ctx context.Context, in *GetEndpointRequest, opts ...grpc.CallOption) (*Endpoint, error)
// Lists Endpoints in a Location.
ListEndpoints(ctx context.Context, in *ListEndpointsRequest, opts ...grpc.CallOption) (*ListEndpointsResponse, error)
// Updates an Endpoint.
UpdateEndpoint(ctx context.Context, in *UpdateEndpointRequest, opts ...grpc.CallOption) (*Endpoint, error)
// Deletes an Endpoint.
DeleteEndpoint(ctx context.Context, in *DeleteEndpointRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Deploys a Model into this Endpoint, creating a DeployedModel within it.
DeployModel(ctx context.Context, in *DeployModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
// freeing all resources it's using.
UndeployModel(ctx context.Context, in *UndeployModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}
EndpointServiceClient is the client API for EndpointService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewEndpointServiceClient
func NewEndpointServiceClient(cc grpc.ClientConnInterface) EndpointServiceClient
EndpointServiceServer
type EndpointServiceServer interface {
// Creates an Endpoint.
CreateEndpoint(context.Context, *CreateEndpointRequest) (*longrunning.Operation, error)
// Gets an Endpoint.
GetEndpoint(context.Context, *GetEndpointRequest) (*Endpoint, error)
// Lists Endpoints in a Location.
ListEndpoints(context.Context, *ListEndpointsRequest) (*ListEndpointsResponse, error)
// Updates an Endpoint.
UpdateEndpoint(context.Context, *UpdateEndpointRequest) (*Endpoint, error)
// Deletes an Endpoint.
DeleteEndpoint(context.Context, *DeleteEndpointRequest) (*longrunning.Operation, error)
// Deploys a Model into this Endpoint, creating a DeployedModel within it.
DeployModel(context.Context, *DeployModelRequest) (*longrunning.Operation, error)
// Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
// freeing all resources it's using.
UndeployModel(context.Context, *UndeployModelRequest) (*longrunning.Operation, error)
}
EndpointServiceServer is the server API for EndpointService service.
EntityType
type EntityType struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
MonitoringConfig *FeaturestoreMonitoringConfig `protobuf:"bytes,8,opt,name=monitoring_config,json=monitoringConfig,proto3" json:"monitoring_config,omitempty"`
}
An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver.
func (*EntityType) Descriptor
func (*EntityType) Descriptor() ([]byte, []int)
Deprecated: Use EntityType.ProtoReflect.Descriptor instead.
func (*EntityType) GetCreateTime
func (x *EntityType) GetCreateTime() *timestamppb.Timestamp
func (*EntityType) GetDescription
func (x *EntityType) GetDescription() string
func (*EntityType) GetEtag
func (x *EntityType) GetEtag() string
func (*EntityType) GetLabels
func (x *EntityType) GetLabels() map[string]string
func (*EntityType) GetMonitoringConfig
func (x *EntityType) GetMonitoringConfig() *FeaturestoreMonitoringConfig
func (*EntityType) GetName
func (x *EntityType) GetName() string
func (*EntityType) GetUpdateTime
func (x *EntityType) GetUpdateTime() *timestamppb.Timestamp
func (*EntityType) ProtoMessage
func (*EntityType) ProtoMessage()
func (*EntityType) ProtoReflect
func (x *EntityType) ProtoReflect() protoreflect.Message
func (*EntityType) Reset
func (x *EntityType) Reset()
func (*EntityType) String
func (x *EntityType) String() string
EnvVar
type EnvVar struct {
// Required. Name of the environment variable. Must be a valid C identifier.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. Variables that reference a $(VAR_NAME) are expanded
// using the previous defined environment variables in the container and
// any service environment variables. If a variable cannot be resolved,
// the reference in the input string will be unchanged. The $(VAR_NAME)
// syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
// references will never be expanded, regardless of whether the variable
// exists or not.
Value string `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
// contains filtered or unexported fields
}
Represents an environment variable present in a Container or Python Module.
func (*EnvVar) Descriptor
Deprecated: Use EnvVar.ProtoReflect.Descriptor instead.
func (*EnvVar) GetName
func (*EnvVar) GetValue
func (*EnvVar) ProtoMessage
func (*EnvVar) ProtoMessage()
func (*EnvVar) ProtoReflect
func (x *EnvVar) ProtoReflect() protoreflect.Message
func (*EnvVar) Reset
func (x *EnvVar) Reset()
func (*EnvVar) String
Event
type Event struct {
Artifact string `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
Execution string `protobuf:"bytes,2,opt,name=execution,proto3" json:"execution,omitempty"`
EventTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=event_time,json=eventTime,proto3" json:"event_time,omitempty"`
Type Event_Type `protobuf:"varint,4,opt,name=type,proto3,enum=google.cloud.aiplatform.v1.Event_Type" json:"type,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
}
An edge describing the relationship between an Artifact and an Execution in a lineage graph.
func (*Event) Descriptor
Deprecated: Use Event.ProtoReflect.Descriptor instead.
func (*Event) GetArtifact
func (*Event) GetEventTime
func (x *Event) GetEventTime() *timestamppb.Timestamp
func (*Event) GetExecution
func (*Event) GetLabels
func (*Event) GetType
func (x *Event) GetType() Event_Type
func (*Event) ProtoMessage
func (*Event) ProtoMessage()
func (*Event) ProtoReflect
func (x *Event) ProtoReflect() protoreflect.Message
func (*Event) Reset
func (x *Event) Reset()
func (*Event) String
Event_Type
type Event_Type int32
Describes whether an Event's Artifact is the Execution's input or output.
Event_TYPE_UNSPECIFIED, Event_INPUT, Event_OUTPUT
const (
// Unspecified whether input or output of the Execution.
Event_TYPE_UNSPECIFIED Event_Type = 0
// An input of the Execution.
Event_INPUT Event_Type = 1
// An output of the Execution.
Event_OUTPUT Event_Type = 2
)
func (Event_Type) Descriptor
func (Event_Type) Descriptor() protoreflect.EnumDescriptor
func (Event_Type) Enum
func (x Event_Type) Enum() *Event_Type
func (Event_Type) EnumDescriptor
func (Event_Type) EnumDescriptor() ([]byte, []int)
Deprecated: Use Event_Type.Descriptor instead.
func (Event_Type) Number
func (x Event_Type) Number() protoreflect.EnumNumber
func (Event_Type) String
func (x Event_Type) String() string
func (Event_Type) Type
func (Event_Type) Type() protoreflect.EnumType
ExamplesOverride
type ExamplesOverride struct {
NeighborCount int32 `protobuf:"varint,1,opt,name=neighbor_count,json=neighborCount,proto3" json:"neighbor_count,omitempty"`
CrowdingCount int32 `protobuf:"varint,2,opt,name=crowding_count,json=crowdingCount,proto3" json:"crowding_count,omitempty"`
Restrictions []*ExamplesRestrictionsNamespace `protobuf:"bytes,3,rep,name=restrictions,proto3" json:"restrictions,omitempty"`
ReturnEmbeddings bool `protobuf:"varint,4,opt,name=return_embeddings,json=returnEmbeddings,proto3" json:"return_embeddings,omitempty"`
DataFormat ExamplesOverride_DataFormat "" /* 152 byte string literal not displayed */
}
Overrides for example-based explanations.
func (*ExamplesOverride) Descriptor
func (*ExamplesOverride) Descriptor() ([]byte, []int)
Deprecated: Use ExamplesOverride.ProtoReflect.Descriptor instead.
func (*ExamplesOverride) GetCrowdingCount
func (x *ExamplesOverride) GetCrowdingCount() int32
func (*ExamplesOverride) GetDataFormat
func (x *ExamplesOverride) GetDataFormat() ExamplesOverride_DataFormat
func (*ExamplesOverride) GetNeighborCount
func (x *ExamplesOverride) GetNeighborCount() int32
func (*ExamplesOverride) GetRestrictions
func (x *ExamplesOverride) GetRestrictions() []*ExamplesRestrictionsNamespace
func (*ExamplesOverride) GetReturnEmbeddings
func (x *ExamplesOverride) GetReturnEmbeddings() bool
func (*ExamplesOverride) ProtoMessage
func (*ExamplesOverride) ProtoMessage()
func (*ExamplesOverride) ProtoReflect
func (x *ExamplesOverride) ProtoReflect() protoreflect.Message
func (*ExamplesOverride) Reset
func (x *ExamplesOverride) Reset()
func (*ExamplesOverride) String
func (x *ExamplesOverride) String() string
ExamplesOverride_DataFormat
type ExamplesOverride_DataFormat int32
Data format enum.
ExamplesOverride_DATA_FORMAT_UNSPECIFIED, ExamplesOverride_INSTANCES, ExamplesOverride_EMBEDDINGS
const (
// Unspecified format. Must not be used.
ExamplesOverride_DATA_FORMAT_UNSPECIFIED ExamplesOverride_DataFormat = 0
// Provided data is a set of model inputs.
ExamplesOverride_INSTANCES ExamplesOverride_DataFormat = 1
// Provided data is a set of embeddings.
ExamplesOverride_EMBEDDINGS ExamplesOverride_DataFormat = 2
)
func (ExamplesOverride_DataFormat) Descriptor
func (ExamplesOverride_DataFormat) Descriptor() protoreflect.EnumDescriptor
func (ExamplesOverride_DataFormat) Enum
func (x ExamplesOverride_DataFormat) Enum() *ExamplesOverride_DataFormat
func (ExamplesOverride_DataFormat) EnumDescriptor
func (ExamplesOverride_DataFormat) EnumDescriptor() ([]byte, []int)
Deprecated: Use ExamplesOverride_DataFormat.Descriptor instead.
func (ExamplesOverride_DataFormat) Number
func (x ExamplesOverride_DataFormat) Number() protoreflect.EnumNumber
func (ExamplesOverride_DataFormat) String
func (x ExamplesOverride_DataFormat) String() string
func (ExamplesOverride_DataFormat) Type
func (ExamplesOverride_DataFormat) Type() protoreflect.EnumType
ExamplesRestrictionsNamespace
type ExamplesRestrictionsNamespace struct {
// The namespace name.
NamespaceName string `protobuf:"bytes,1,opt,name=namespace_name,json=namespaceName,proto3" json:"namespace_name,omitempty"`
// The list of allowed tags.
Allow []string `protobuf:"bytes,2,rep,name=allow,proto3" json:"allow,omitempty"`
// The list of deny tags.
Deny []string `protobuf:"bytes,3,rep,name=deny,proto3" json:"deny,omitempty"`
// contains filtered or unexported fields
}
Restrictions namespace for example-based explanations overrides.
func (*ExamplesRestrictionsNamespace) Descriptor
func (*ExamplesRestrictionsNamespace) Descriptor() ([]byte, []int)
Deprecated: Use ExamplesRestrictionsNamespace.ProtoReflect.Descriptor instead.
func (*ExamplesRestrictionsNamespace) GetAllow
func (x *ExamplesRestrictionsNamespace) GetAllow() []string
func (*ExamplesRestrictionsNamespace) GetDeny
func (x *ExamplesRestrictionsNamespace) GetDeny() []string
func (*ExamplesRestrictionsNamespace) GetNamespaceName
func (x *ExamplesRestrictionsNamespace) GetNamespaceName() string
func (*ExamplesRestrictionsNamespace) ProtoMessage
func (*ExamplesRestrictionsNamespace) ProtoMessage()
func (*ExamplesRestrictionsNamespace) ProtoReflect
func (x *ExamplesRestrictionsNamespace) ProtoReflect() protoreflect.Message
func (*ExamplesRestrictionsNamespace) Reset
func (x *ExamplesRestrictionsNamespace) Reset()
func (*ExamplesRestrictionsNamespace) String
func (x *ExamplesRestrictionsNamespace) String() string
Execution
type Execution struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
State Execution_State `protobuf:"varint,6,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Execution_State" json:"state,omitempty"`
Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
SchemaTitle string `protobuf:"bytes,13,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`
SchemaVersion string `protobuf:"bytes,14,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
Metadata *structpb.Struct `protobuf:"bytes,15,opt,name=metadata,proto3" json:"metadata,omitempty"`
Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`
}
Instance of a general execution.
func (*Execution) Descriptor
Deprecated: Use Execution.ProtoReflect.Descriptor instead.
func (*Execution) GetCreateTime
func (x *Execution) GetCreateTime() *timestamppb.Timestamp
func (*Execution) GetDescription
func (*Execution) GetDisplayName
func (*Execution) GetEtag
func (*Execution) GetLabels
func (*Execution) GetMetadata
func (*Execution) GetName
func (*Execution) GetSchemaTitle
func (*Execution) GetSchemaVersion
func (*Execution) GetState
func (x *Execution) GetState() Execution_State
func (*Execution) GetUpdateTime
func (x *Execution) GetUpdateTime() *timestamppb.Timestamp
func (*Execution) ProtoMessage
func (*Execution) ProtoMessage()
func (*Execution) ProtoReflect
func (x *Execution) ProtoReflect() protoreflect.Message
func (*Execution) Reset
func (x *Execution) Reset()
func (*Execution) String
Execution_State
type Execution_State int32
Describes the state of the Execution.
Execution_STATE_UNSPECIFIED, Execution_NEW, Execution_RUNNING, Execution_COMPLETE, Execution_FAILED, Execution_CACHED, Execution_CANCELLED
const (
// Unspecified Execution state
Execution_STATE_UNSPECIFIED Execution_State = 0
// The Execution is new
Execution_NEW Execution_State = 1
// The Execution is running
Execution_RUNNING Execution_State = 2
// The Execution has finished running
Execution_COMPLETE Execution_State = 3
// The Execution has failed
Execution_FAILED Execution_State = 4
// The Execution completed through Cache hit.
Execution_CACHED Execution_State = 5
// The Execution was cancelled.
Execution_CANCELLED Execution_State = 6
)
func (Execution_State) Descriptor
func (Execution_State) Descriptor() protoreflect.EnumDescriptor
func (Execution_State) Enum
func (x Execution_State) Enum() *Execution_State
func (Execution_State) EnumDescriptor
func (Execution_State) EnumDescriptor() ([]byte, []int)
Deprecated: Use Execution_State.Descriptor instead.
func (Execution_State) Number
func (x Execution_State) Number() protoreflect.EnumNumber
func (Execution_State) String
func (x Execution_State) String() string
func (Execution_State) Type
func (Execution_State) Type() protoreflect.EnumType
ExplainRequest
type ExplainRequest struct {
Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
Parameters *structpb.Value `protobuf:"bytes,4,opt,name=parameters,proto3" json:"parameters,omitempty"`
ExplanationSpecOverride *ExplanationSpecOverride "" /* 132 byte string literal not displayed */
DeployedModelId string `protobuf:"bytes,3,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
}
Request message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
func (*ExplainRequest) Descriptor
func (*ExplainRequest) Descriptor() ([]byte, []int)
Deprecated: Use ExplainRequest.ProtoReflect.Descriptor instead.
func (*ExplainRequest) GetDeployedModelId
func (x *ExplainRequest) GetDeployedModelId() string
func (*ExplainRequest) GetEndpoint
func (x *ExplainRequest) GetEndpoint() string
func (*ExplainRequest) GetExplanationSpecOverride
func (x *ExplainRequest) GetExplanationSpecOverride() *ExplanationSpecOverride
func (*ExplainRequest) GetInstances
func (x *ExplainRequest) GetInstances() []*structpb.Value
func (*ExplainRequest) GetParameters
func (x *ExplainRequest) GetParameters() *structpb.Value
func (*ExplainRequest) ProtoMessage
func (*ExplainRequest) ProtoMessage()
func (*ExplainRequest) ProtoReflect
func (x *ExplainRequest) ProtoReflect() protoreflect.Message
func (*ExplainRequest) Reset
func (x *ExplainRequest) Reset()
func (*ExplainRequest) String
func (x *ExplainRequest) String() string
ExplainResponse
type ExplainResponse struct {
// The explanations of the Model's
// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
//
// It has the same number of elements as
// [instances][google.cloud.aiplatform.v1.ExplainRequest.instances] to be
// explained.
Explanations []*Explanation `protobuf:"bytes,1,rep,name=explanations,proto3" json:"explanations,omitempty"`
// ID of the Endpoint's DeployedModel that served this explanation.
DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
// The predictions that are the output of the predictions call.
// Same as
// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions].
Predictions []*structpb.Value `protobuf:"bytes,3,rep,name=predictions,proto3" json:"predictions,omitempty"`
// contains filtered or unexported fields
}
Response message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
func (*ExplainResponse) Descriptor
func (*ExplainResponse) Descriptor() ([]byte, []int)
Deprecated: Use ExplainResponse.ProtoReflect.Descriptor instead.
func (*ExplainResponse) GetDeployedModelId
func (x *ExplainResponse) GetDeployedModelId() string
func (*ExplainResponse) GetExplanations
func (x *ExplainResponse) GetExplanations() []*Explanation
func (*ExplainResponse) GetPredictions
func (x *ExplainResponse) GetPredictions() []*structpb.Value
func (*ExplainResponse) ProtoMessage
func (*ExplainResponse) ProtoMessage()
func (*ExplainResponse) ProtoReflect
func (x *ExplainResponse) ProtoReflect() protoreflect.Message
func (*ExplainResponse) Reset
func (x *ExplainResponse) Reset()
func (*ExplainResponse) String
func (x *ExplainResponse) String() string
Explanation
type Explanation struct {
// Output only. Feature attributions grouped by predicted outputs.
//
// For Models that predict only one output, such as regression Models that
// predict only one score, there is only one attibution that explains the
// predicted output. For Models that predict multiple outputs, such as
// multiclass Models that predict multiple classes, each element explains one
// specific item.
// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
// can be used to identify which output this attribution is explaining.
//
// If users set
// [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
// the attributions are sorted by
// [instance_output_value][Attributions.instance_output_value] in descending
// order. If
// [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
// is specified, the attributions are stored by
// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
// in the same order as they appear in the output_indices.
Attributions []*Attribution `protobuf:"bytes,1,rep,name=attributions,proto3" json:"attributions,omitempty"`
// Output only. List of the nearest neighbors for example-based explanations.
//
// For models deployed with the examples explanations feature enabled, the
// attributions field is empty and instead the neighbors field is populated.
Neighbors []*Neighbor `protobuf:"bytes,2,rep,name=neighbors,proto3" json:"neighbors,omitempty"`
// contains filtered or unexported fields
}
Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions]) produced by the Model on a given [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
func (*Explanation) Descriptor
func (*Explanation) Descriptor() ([]byte, []int)
Deprecated: Use Explanation.ProtoReflect.Descriptor instead.
func (*Explanation) GetAttributions
func (x *Explanation) GetAttributions() []*Attribution
func (*Explanation) GetNeighbors
func (x *Explanation) GetNeighbors() []*Neighbor
func (*Explanation) ProtoMessage
func (*Explanation) ProtoMessage()
func (*Explanation) ProtoReflect
func (x *Explanation) ProtoReflect() protoreflect.Message
func (*Explanation) Reset
func (x *Explanation) Reset()
func (*Explanation) String
func (x *Explanation) String() string
ExplanationMetadata
type ExplanationMetadata struct {
Inputs map[string]*ExplanationMetadata_InputMetadata "" /* 153 byte string literal not displayed */
Outputs map[string]*ExplanationMetadata_OutputMetadata "" /* 155 byte string literal not displayed */
FeatureAttributionsSchemaUri string "" /* 149 byte string literal not displayed */
LatentSpaceSource string `protobuf:"bytes,5,opt,name=latent_space_source,json=latentSpaceSource,proto3" json:"latent_space_source,omitempty"`
}
Metadata describing the Model's input and output for explanation.
func (*ExplanationMetadata) Descriptor
func (*ExplanationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadata.ProtoReflect.Descriptor instead.
func (*ExplanationMetadata) GetFeatureAttributionsSchemaUri
func (x *ExplanationMetadata) GetFeatureAttributionsSchemaUri() string
func (*ExplanationMetadata) GetInputs
func (x *ExplanationMetadata) GetInputs() map[string]*ExplanationMetadata_InputMetadata
func (*ExplanationMetadata) GetLatentSpaceSource
func (x *ExplanationMetadata) GetLatentSpaceSource() string
func (*ExplanationMetadata) GetOutputs
func (x *ExplanationMetadata) GetOutputs() map[string]*ExplanationMetadata_OutputMetadata
func (*ExplanationMetadata) ProtoMessage
func (*ExplanationMetadata) ProtoMessage()
func (*ExplanationMetadata) ProtoReflect
func (x *ExplanationMetadata) ProtoReflect() protoreflect.Message
func (*ExplanationMetadata) Reset
func (x *ExplanationMetadata) Reset()
func (*ExplanationMetadata) String
func (x *ExplanationMetadata) String() string
ExplanationMetadataOverride
type ExplanationMetadataOverride struct {
Inputs map[string]*ExplanationMetadataOverride_InputMetadataOverride "" /* 153 byte string literal not displayed */
}
The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
func (*ExplanationMetadataOverride) Descriptor
func (*ExplanationMetadataOverride) Descriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadataOverride.ProtoReflect.Descriptor instead.
func (*ExplanationMetadataOverride) GetInputs
func (x *ExplanationMetadataOverride) GetInputs() map[string]*ExplanationMetadataOverride_InputMetadataOverride
func (*ExplanationMetadataOverride) ProtoMessage
func (*ExplanationMetadataOverride) ProtoMessage()
func (*ExplanationMetadataOverride) ProtoReflect
func (x *ExplanationMetadataOverride) ProtoReflect() protoreflect.Message
func (*ExplanationMetadataOverride) Reset
func (x *ExplanationMetadataOverride) Reset()
func (*ExplanationMetadataOverride) String
func (x *ExplanationMetadataOverride) String() string
ExplanationMetadataOverride_InputMetadataOverride
type ExplanationMetadataOverride_InputMetadataOverride struct {
// Baseline inputs for this feature.
//
// This overrides the `input_baseline` field of the
// [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
// object of the corresponding feature's input metadata. If it's not
// specified, the original baselines are not overridden.
InputBaselines []*structpb.Value `protobuf:"bytes,1,rep,name=input_baselines,json=inputBaselines,proto3" json:"input_baselines,omitempty"`
// contains filtered or unexported fields
}
The [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata] entries to be overridden.
func (*ExplanationMetadataOverride_InputMetadataOverride) Descriptor
func (*ExplanationMetadataOverride_InputMetadataOverride) Descriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadataOverride_InputMetadataOverride.ProtoReflect.Descriptor instead.
func (*ExplanationMetadataOverride_InputMetadataOverride) GetInputBaselines
func (x *ExplanationMetadataOverride_InputMetadataOverride) GetInputBaselines() []*structpb.Value
func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoMessage
func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoMessage()
func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoReflect
func (x *ExplanationMetadataOverride_InputMetadataOverride) ProtoReflect() protoreflect.Message
func (*ExplanationMetadataOverride_InputMetadataOverride) Reset
func (x *ExplanationMetadataOverride_InputMetadataOverride) Reset()
func (*ExplanationMetadataOverride_InputMetadataOverride) String
func (x *ExplanationMetadataOverride_InputMetadataOverride) String() string
ExplanationMetadata_InputMetadata
type ExplanationMetadata_InputMetadata struct {
InputBaselines []*structpb.Value `protobuf:"bytes,1,rep,name=input_baselines,json=inputBaselines,proto3" json:"input_baselines,omitempty"`
InputTensorName string `protobuf:"bytes,2,opt,name=input_tensor_name,json=inputTensorName,proto3" json:"input_tensor_name,omitempty"`
Encoding ExplanationMetadata_InputMetadata_Encoding "" /* 145 byte string literal not displayed */
Modality string `protobuf:"bytes,4,opt,name=modality,proto3" json:"modality,omitempty"`
FeatureValueDomain *ExplanationMetadata_InputMetadata_FeatureValueDomain `protobuf:"bytes,5,opt,name=feature_value_domain,json=featureValueDomain,proto3" json:"feature_value_domain,omitempty"`
IndicesTensorName string `protobuf:"bytes,6,opt,name=indices_tensor_name,json=indicesTensorName,proto3" json:"indices_tensor_name,omitempty"`
DenseShapeTensorName string `protobuf:"bytes,7,opt,name=dense_shape_tensor_name,json=denseShapeTensorName,proto3" json:"dense_shape_tensor_name,omitempty"`
IndexFeatureMapping []string `protobuf:"bytes,8,rep,name=index_feature_mapping,json=indexFeatureMapping,proto3" json:"index_feature_mapping,omitempty"`
EncodedTensorName string `protobuf:"bytes,9,opt,name=encoded_tensor_name,json=encodedTensorName,proto3" json:"encoded_tensor_name,omitempty"`
EncodedBaselines []*structpb.Value `protobuf:"bytes,10,rep,name=encoded_baselines,json=encodedBaselines,proto3" json:"encoded_baselines,omitempty"`
Visualization *ExplanationMetadata_InputMetadata_Visualization `protobuf:"bytes,11,opt,name=visualization,proto3" json:"visualization,omitempty"`
GroupName string `protobuf:"bytes,12,opt,name=group_name,json=groupName,proto3" json:"group_name,omitempty"`
}
Metadata of the input of a feature.
Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only for Models that are using Vertex AI-provided images for Tensorflow.
func (*ExplanationMetadata_InputMetadata) Descriptor
func (*ExplanationMetadata_InputMetadata) Descriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadata_InputMetadata.ProtoReflect.Descriptor instead.
func (*ExplanationMetadata_InputMetadata) GetDenseShapeTensorName
func (x *ExplanationMetadata_InputMetadata) GetDenseShapeTensorName() string
func (*ExplanationMetadata_InputMetadata) GetEncodedBaselines
func (x *ExplanationMetadata_InputMetadata) GetEncodedBaselines() []*structpb.Value
func (*ExplanationMetadata_InputMetadata) GetEncodedTensorName
func (x *ExplanationMetadata_InputMetadata) GetEncodedTensorName() string
func (*ExplanationMetadata_InputMetadata) GetEncoding
func (x *ExplanationMetadata_InputMetadata) GetEncoding() ExplanationMetadata_InputMetadata_Encoding
func (*ExplanationMetadata_InputMetadata) GetFeatureValueDomain
func (x *ExplanationMetadata_InputMetadata) GetFeatureValueDomain() *ExplanationMetadata_InputMetadata_FeatureValueDomain
func (*ExplanationMetadata_InputMetadata) GetGroupName
func (x *ExplanationMetadata_InputMetadata) GetGroupName() string
func (*ExplanationMetadata_InputMetadata) GetIndexFeatureMapping
func (x *ExplanationMetadata_InputMetadata) GetIndexFeatureMapping() []string
func (*ExplanationMetadata_InputMetadata) GetIndicesTensorName
func (x *ExplanationMetadata_InputMetadata) GetIndicesTensorName() string
func (*ExplanationMetadata_InputMetadata) GetInputBaselines
func (x *ExplanationMetadata_InputMetadata) GetInputBaselines() []*structpb.Value
func (*ExplanationMetadata_InputMetadata) GetInputTensorName
func (x *ExplanationMetadata_InputMetadata) GetInputTensorName() string
func (*ExplanationMetadata_InputMetadata) GetModality
func (x *ExplanationMetadata_InputMetadata) GetModality() string
func (*ExplanationMetadata_InputMetadata) GetVisualization
func (x *ExplanationMetadata_InputMetadata) GetVisualization() *ExplanationMetadata_InputMetadata_Visualization
func (*ExplanationMetadata_InputMetadata) ProtoMessage
func (*ExplanationMetadata_InputMetadata) ProtoMessage()
func (*ExplanationMetadata_InputMetadata) ProtoReflect
func (x *ExplanationMetadata_InputMetadata) ProtoReflect() protoreflect.Message
func (*ExplanationMetadata_InputMetadata) Reset
func (x *ExplanationMetadata_InputMetadata) Reset()
func (*ExplanationMetadata_InputMetadata) String
func (x *ExplanationMetadata_InputMetadata) String() string
ExplanationMetadata_InputMetadata_Encoding
type ExplanationMetadata_InputMetadata_Encoding int32
Defines how a feature is encoded. Defaults to IDENTITY.
ExplanationMetadata_InputMetadata_ENCODING_UNSPECIFIED, ExplanationMetadata_InputMetadata_IDENTITY, ExplanationMetadata_InputMetadata_BAG_OF_FEATURES, ExplanationMetadata_InputMetadata_BAG_OF_FEATURES_SPARSE, ExplanationMetadata_InputMetadata_INDICATOR, ExplanationMetadata_InputMetadata_COMBINED_EMBEDDING, ExplanationMetadata_InputMetadata_CONCAT_EMBEDDING
const (
// Default value. This is the same as IDENTITY.
ExplanationMetadata_InputMetadata_ENCODING_UNSPECIFIED ExplanationMetadata_InputMetadata_Encoding = 0
// The tensor represents one feature.
ExplanationMetadata_InputMetadata_IDENTITY ExplanationMetadata_InputMetadata_Encoding = 1
// The tensor represents a bag of features where each index maps to
// a feature.
// [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
// must be provided for this encoding. For example:
// ```
// input = [27, 6.0, 150]
// index_feature_mapping = ["age", "height", "weight"]
// ```
ExplanationMetadata_InputMetadata_BAG_OF_FEATURES ExplanationMetadata_InputMetadata_Encoding = 2
// The tensor represents a bag of features where each index maps to a
// feature. Zero values in the tensor indicates feature being
// non-existent.
// [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
// must be provided for this encoding. For example:
// ```
// input = [2, 0, 5, 0, 1]
// index_feature_mapping = ["a", "b", "c", "d", "e"]
// ```
ExplanationMetadata_InputMetadata_BAG_OF_FEATURES_SPARSE ExplanationMetadata_InputMetadata_Encoding = 3
// The tensor is a list of binaries representing whether a feature exists
// or not (1 indicates existence).
// [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
// must be provided for this encoding. For example:
// ```
// input = [1, 0, 1, 0, 1]
// index_feature_mapping = ["a", "b", "c", "d", "e"]
// ```
ExplanationMetadata_InputMetadata_INDICATOR ExplanationMetadata_InputMetadata_Encoding = 4
// The tensor is encoded into a 1-dimensional array represented by an
// encoded tensor.
// [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
// must be provided for this encoding. For example:
// ```
// input = ["This", "is", "a", "test", "."]
// encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
// ```
ExplanationMetadata_InputMetadata_COMBINED_EMBEDDING ExplanationMetadata_InputMetadata_Encoding = 5
// Select this encoding when the input tensor is encoded into a
// 2-dimensional array represented by an encoded tensor.
// [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
// must be provided for this encoding. The first dimension of the encoded
// tensor's shape is the same as the input tensor's shape. For example:
// ```
// input = ["This", "is", "a", "test", "."]
// encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
// [0.2, 0.1, 0.4, 0.3, 0.5],
// [0.5, 0.1, 0.3, 0.5, 0.4],
// [0.5, 0.3, 0.1, 0.2, 0.4],
// [0.4, 0.3, 0.2, 0.5, 0.1]]
// ```
ExplanationMetadata_InputMetadata_CONCAT_EMBEDDING ExplanationMetadata_InputMetadata_Encoding = 6
)
func (ExplanationMetadata_InputMetadata_Encoding) Descriptor
func (ExplanationMetadata_InputMetadata_Encoding) Descriptor() protoreflect.EnumDescriptor
func (ExplanationMetadata_InputMetadata_Encoding) Enum
func (x ExplanationMetadata_InputMetadata_Encoding) Enum() *ExplanationMetadata_InputMetadata_Encoding
func (ExplanationMetadata_InputMetadata_Encoding) EnumDescriptor
func (ExplanationMetadata_InputMetadata_Encoding) EnumDescriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadata_InputMetadata_Encoding.Descriptor instead.
func (ExplanationMetadata_InputMetadata_Encoding) Number
func (x ExplanationMetadata_InputMetadata_Encoding) Number() protoreflect.EnumNumber
func (ExplanationMetadata_InputMetadata_Encoding) String
func (x ExplanationMetadata_InputMetadata_Encoding) String() string
func (ExplanationMetadata_InputMetadata_Encoding) Type
func (ExplanationMetadata_InputMetadata_Encoding) Type() protoreflect.EnumType
ExplanationMetadata_InputMetadata_FeatureValueDomain
type ExplanationMetadata_InputMetadata_FeatureValueDomain struct {
// The minimum permissible value for this feature.
MinValue float32 `protobuf:"fixed32,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
// The maximum permissible value for this feature.
MaxValue float32 `protobuf:"fixed32,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
// If this input feature has been normalized to a mean value of 0,
// the original_mean specifies the mean value of the domain prior to
// normalization.
OriginalMean float32 `protobuf:"fixed32,3,opt,name=original_mean,json=originalMean,proto3" json:"original_mean,omitempty"`
// If this input feature has been normalized to a standard deviation of
// 1.0, the original_stddev specifies the standard deviation of the domain
// prior to normalization.
OriginalStddev float32 `protobuf:"fixed32,4,opt,name=original_stddev,json=originalStddev,proto3" json:"original_stddev,omitempty"`
// contains filtered or unexported fields
}
Domain details of the input feature value. Provides numeric information about the feature, such as its range (min, max). If the feature has been pre-processed, for example with z-scoring, then it provides information about how to recover the original feature. For example, if the input feature is an image and it has been pre-processed to obtain 0-mean and stddev = 1 values, then original_mean, and original_stddev refer to the mean and stddev of the original feature (e.g. image tensor) from which input feature (with mean = 0 and stddev = 1) was obtained.
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Descriptor
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Descriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadata_InputMetadata_FeatureValueDomain.ProtoReflect.Descriptor instead.
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMaxValue
func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMaxValue() float32
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMinValue
func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMinValue() float32
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalMean
func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalMean() float32
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalStddev
func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalStddev() float32
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoMessage
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoMessage()
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoReflect
func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoReflect() protoreflect.Message
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Reset
func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) Reset()
func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) String
func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) String() string
ExplanationMetadata_InputMetadata_Visualization
type ExplanationMetadata_InputMetadata_Visualization struct {
Type ExplanationMetadata_InputMetadata_Visualization_Type "" /* 147 byte string literal not displayed */
Polarity ExplanationMetadata_InputMetadata_Visualization_Polarity "" /* 159 byte string literal not displayed */
ColorMap ExplanationMetadata_InputMetadata_Visualization_ColorMap "" /* 175 byte string literal not displayed */
ClipPercentUpperbound float32 "" /* 128 byte string literal not displayed */
ClipPercentLowerbound float32 "" /* 128 byte string literal not displayed */
OverlayType ExplanationMetadata_InputMetadata_Visualization_OverlayType "" /* 187 byte string literal not displayed */
}
Visualization configurations for image explanation.
func (*ExplanationMetadata_InputMetadata_Visualization) Descriptor
func (*ExplanationMetadata_InputMetadata_Visualization) Descriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadata_InputMetadata_Visualization.ProtoReflect.Descriptor instead.
func (*ExplanationMetadata_InputMetadata_Visualization) GetClipPercentLowerbound
func (x *ExplanationMetadata_InputMetadata_Visualization) GetClipPercentLowerbound() float32
func (*ExplanationMetadata_InputMetadata_Visualization) GetClipPercentUpperbound
func (x *ExplanationMetadata_InputMetadata_Visualization) GetClipPercentUpperbound() float32
func (*ExplanationMetadata_InputMetadata_Visualization) GetColorMap
func (x *ExplanationMetadata_InputMetadata_Visualization) GetColorMap() ExplanationMetadata_InputMetadata_Visualization_ColorMap
func (*ExplanationMetadata_InputMetadata_Visualization) GetOverlayType
func (x *ExplanationMetadata_InputMetadata_Visualization) GetOverlayType() ExplanationMetadata_InputMetadata_Visualization_OverlayType
func (*ExplanationMetadata_InputMetadata_Visualization) GetPolarity
func (x *ExplanationMetadata_InputMetadata_Visualization) GetPolarity() ExplanationMetadata_InputMetadata_Visualization_Polarity
func (*ExplanationMetadata_InputMetadata_Visualization) GetType
func (x *ExplanationMetadata_InputMetadata_Visualization) GetType() ExplanationMetadata_InputMetadata_Visualization_Type
func (*ExplanationMetadata_InputMetadata_Visualization) ProtoMessage
func (*ExplanationMetadata_InputMetadata_Visualization) ProtoMessage()
func (*ExplanationMetadata_InputMetadata_Visualization) ProtoReflect
func (x *ExplanationMetadata_InputMetadata_Visualization) ProtoReflect() protoreflect.Message
func (*ExplanationMetadata_InputMetadata_Visualization) Reset
func (x *ExplanationMetadata_InputMetadata_Visualization) Reset()
func (*ExplanationMetadata_InputMetadata_Visualization) String
func (x *ExplanationMetadata_InputMetadata_Visualization) String() string
ExplanationMetadata_InputMetadata_Visualization_ColorMap
type ExplanationMetadata_InputMetadata_Visualization_ColorMap int32
The color scheme used for highlighting areas.
ExplanationMetadata_InputMetadata_Visualization_COLOR_MAP_UNSPECIFIED, ExplanationMetadata_InputMetadata_Visualization_PINK_GREEN, ExplanationMetadata_InputMetadata_Visualization_VIRIDIS, ExplanationMetadata_InputMetadata_Visualization_RED, ExplanationMetadata_InputMetadata_Visualization_GREEN, ExplanationMetadata_InputMetadata_Visualization_RED_GREEN, ExplanationMetadata_InputMetadata_Visualization_PINK_WHITE_GREEN
const (
// Should not be used.
ExplanationMetadata_InputMetadata_Visualization_COLOR_MAP_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_ColorMap = 0
// Positive: green. Negative: pink.
ExplanationMetadata_InputMetadata_Visualization_PINK_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 1
// Viridis color map: A perceptually uniform color mapping which is
// easier to see by those with colorblindness and progresses from yellow
// to green to blue. Positive: yellow. Negative: blue.
ExplanationMetadata_InputMetadata_Visualization_VIRIDIS ExplanationMetadata_InputMetadata_Visualization_ColorMap = 2
// Positive: red. Negative: red.
ExplanationMetadata_InputMetadata_Visualization_RED ExplanationMetadata_InputMetadata_Visualization_ColorMap = 3
// Positive: green. Negative: green.
ExplanationMetadata_InputMetadata_Visualization_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 4
// Positive: green. Negative: red.
ExplanationMetadata_InputMetadata_Visualization_RED_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 6
// PiYG palette.
ExplanationMetadata_InputMetadata_Visualization_PINK_WHITE_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 5
)
func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Descriptor
func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Descriptor() protoreflect.EnumDescriptor
func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Enum
func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) Enum() *ExplanationMetadata_InputMetadata_Visualization_ColorMap
func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) EnumDescriptor
func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) EnumDescriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_ColorMap.Descriptor instead.
func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Number
func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) Number() protoreflect.EnumNumber
func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) String
func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) String() string
func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Type
ExplanationMetadata_InputMetadata_Visualization_OverlayType
type ExplanationMetadata_InputMetadata_Visualization_OverlayType int32
How the original image is displayed in the visualization.
ExplanationMetadata_InputMetadata_Visualization_OVERLAY_TYPE_UNSPECIFIED, ExplanationMetadata_InputMetadata_Visualization_NONE, ExplanationMetadata_InputMetadata_Visualization_ORIGINAL, ExplanationMetadata_InputMetadata_Visualization_GRAYSCALE, ExplanationMetadata_InputMetadata_Visualization_MASK_BLACK
const (
// Default value. This is the same as NONE.
ExplanationMetadata_InputMetadata_Visualization_OVERLAY_TYPE_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_OverlayType = 0
// No overlay.
ExplanationMetadata_InputMetadata_Visualization_NONE ExplanationMetadata_InputMetadata_Visualization_OverlayType = 1
// The attributions are shown on top of the original image.
ExplanationMetadata_InputMetadata_Visualization_ORIGINAL ExplanationMetadata_InputMetadata_Visualization_OverlayType = 2
// The attributions are shown on top of grayscaled version of the
// original image.
ExplanationMetadata_InputMetadata_Visualization_GRAYSCALE ExplanationMetadata_InputMetadata_Visualization_OverlayType = 3
// The attributions are used as a mask to reveal predictive parts of
// the image and hide the un-predictive parts.
ExplanationMetadata_InputMetadata_Visualization_MASK_BLACK ExplanationMetadata_InputMetadata_Visualization_OverlayType = 4
)
func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Descriptor
func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Descriptor() protoreflect.EnumDescriptor
func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Enum
func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) Enum() *ExplanationMetadata_InputMetadata_Visualization_OverlayType
func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) EnumDescriptor
func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) EnumDescriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_OverlayType.Descriptor instead.
func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Number
func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) Number() protoreflect.EnumNumber
func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) String
func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) String() string
func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Type
ExplanationMetadata_InputMetadata_Visualization_Polarity
type ExplanationMetadata_InputMetadata_Visualization_Polarity int32
Whether to only highlight pixels with positive contributions, negative or both. Defaults to POSITIVE.
ExplanationMetadata_InputMetadata_Visualization_POLARITY_UNSPECIFIED, ExplanationMetadata_InputMetadata_Visualization_POSITIVE, ExplanationMetadata_InputMetadata_Visualization_NEGATIVE, ExplanationMetadata_InputMetadata_Visualization_BOTH
const (
// Default value. This is the same as POSITIVE.
ExplanationMetadata_InputMetadata_Visualization_POLARITY_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_Polarity = 0
// Highlights the pixels/outlines that were most influential to the
// model's prediction.
ExplanationMetadata_InputMetadata_Visualization_POSITIVE ExplanationMetadata_InputMetadata_Visualization_Polarity = 1
// Setting polarity to negative highlights areas that does not lead to
// the models's current prediction.
ExplanationMetadata_InputMetadata_Visualization_NEGATIVE ExplanationMetadata_InputMetadata_Visualization_Polarity = 2
// Shows both positive and negative attributions.
ExplanationMetadata_InputMetadata_Visualization_BOTH ExplanationMetadata_InputMetadata_Visualization_Polarity = 3
)
func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Descriptor
func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Descriptor() protoreflect.EnumDescriptor
func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Enum
func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) Enum() *ExplanationMetadata_InputMetadata_Visualization_Polarity
func (ExplanationMetadata_InputMetadata_Visualization_Polarity) EnumDescriptor
func (ExplanationMetadata_InputMetadata_Visualization_Polarity) EnumDescriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_Polarity.Descriptor instead.
func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Number
func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) Number() protoreflect.EnumNumber
func (ExplanationMetadata_InputMetadata_Visualization_Polarity) String
func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) String() string
func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Type
ExplanationMetadata_InputMetadata_Visualization_Type
type ExplanationMetadata_InputMetadata_Visualization_Type int32
Type of the image visualization. Only applicable to [Integrated Gradients attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution].
ExplanationMetadata_InputMetadata_Visualization_TYPE_UNSPECIFIED, ExplanationMetadata_InputMetadata_Visualization_PIXELS, ExplanationMetadata_InputMetadata_Visualization_OUTLINES
const (
// Should not be used.
ExplanationMetadata_InputMetadata_Visualization_TYPE_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_Type = 0
// Shows which pixel contributed to the image prediction.
ExplanationMetadata_InputMetadata_Visualization_PIXELS ExplanationMetadata_InputMetadata_Visualization_Type = 1
// Shows which region contributed to the image prediction by outlining
// the region.
ExplanationMetadata_InputMetadata_Visualization_OUTLINES ExplanationMetadata_InputMetadata_Visualization_Type = 2
)
func (ExplanationMetadata_InputMetadata_Visualization_Type) Descriptor
func (ExplanationMetadata_InputMetadata_Visualization_Type) Descriptor() protoreflect.EnumDescriptor
func (ExplanationMetadata_InputMetadata_Visualization_Type) Enum
func (x ExplanationMetadata_InputMetadata_Visualization_Type) Enum() *ExplanationMetadata_InputMetadata_Visualization_Type
func (ExplanationMetadata_InputMetadata_Visualization_Type) EnumDescriptor
func (ExplanationMetadata_InputMetadata_Visualization_Type) EnumDescriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_Type.Descriptor instead.
func (ExplanationMetadata_InputMetadata_Visualization_Type) Number
func (x ExplanationMetadata_InputMetadata_Visualization_Type) Number() protoreflect.EnumNumber
func (ExplanationMetadata_InputMetadata_Visualization_Type) String
func (x ExplanationMetadata_InputMetadata_Visualization_Type) String() string
func (ExplanationMetadata_InputMetadata_Visualization_Type) Type
ExplanationMetadata_OutputMetadata
type ExplanationMetadata_OutputMetadata struct {
// Defines how to map
// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
// to
// [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name].
//
// If neither of the fields are specified,
// [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
// will not be populated.
//
// Types that are assignable to DisplayNameMapping:
// *ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping
// *ExplanationMetadata_OutputMetadata_DisplayNameMappingKey
DisplayNameMapping isExplanationMetadata_OutputMetadata_DisplayNameMapping `protobuf_oneof:"display_name_mapping"`
// Name of the output tensor. Required and is only applicable to Vertex
// AI provided images for Tensorflow.
OutputTensorName string `protobuf:"bytes,3,opt,name=output_tensor_name,json=outputTensorName,proto3" json:"output_tensor_name,omitempty"`
// contains filtered or unexported fields
}
Metadata of the prediction output to be explained.
func (*ExplanationMetadata_OutputMetadata) Descriptor
func (*ExplanationMetadata_OutputMetadata) Descriptor() ([]byte, []int)
Deprecated: Use ExplanationMetadata_OutputMetadata.ProtoReflect.Descriptor instead.
func (*ExplanationMetadata_OutputMetadata) GetDisplayNameMapping
func (m *ExplanationMetadata_OutputMetadata) GetDisplayNameMapping() isExplanationMetadata_OutputMetadata_DisplayNameMapping
func (*ExplanationMetadata_OutputMetadata) GetDisplayNameMappingKey
func (x *ExplanationMetadata_OutputMetadata) GetDisplayNameMappingKey() string
func (*ExplanationMetadata_OutputMetadata) GetIndexDisplayNameMapping
func (x *ExplanationMetadata_OutputMetadata) GetIndexDisplayNameMapping() *structpb.Value
func (*ExplanationMetadata_OutputMetadata) GetOutputTensorName
func (x *ExplanationMetadata_OutputMetadata) GetOutputTensorName() string
func (*ExplanationMetadata_OutputMetadata) ProtoMessage
func (*ExplanationMetadata_OutputMetadata) ProtoMessage()
func (*ExplanationMetadata_OutputMetadata) ProtoReflect
func (x *ExplanationMetadata_OutputMetadata) ProtoReflect() protoreflect.Message
func (*ExplanationMetadata_OutputMetadata) Reset
func (x *ExplanationMetadata_OutputMetadata) Reset()
func (*ExplanationMetadata_OutputMetadata) String
func (x *ExplanationMetadata_OutputMetadata) String() string
ExplanationMetadata_OutputMetadata_DisplayNameMappingKey
type ExplanationMetadata_OutputMetadata_DisplayNameMappingKey struct {
// Specify a field name in the prediction to look for the display name.
//
// Use this if the prediction contains the display names for the outputs.
//
// The display names in the prediction must have the same shape of the
// outputs, so that it can be located by
// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
// for a specific output.
DisplayNameMappingKey string `protobuf:"bytes,2,opt,name=display_name_mapping_key,json=displayNameMappingKey,proto3,oneof"`
}
ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping
type ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping struct {
// Static mapping between the index and display name.
//
// Use this if the outputs are a deterministic n-dimensional array, e.g. a
// list of scores of all the classes in a pre-defined order for a
// multi-classification Model. It's not feasible if the outputs are
// non-deterministic, e.g. the Model produces top-k classes or sort the
// outputs by their values.
//
// The shape of the value must be an n-dimensional array of strings. The
// number of dimensions must match that of the outputs to be explained.
// The
// [Attribution.output_display_name][google.cloud.aiplatform.v1.Attribution.output_display_name]
// is populated by locating in the mapping with
// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index].
IndexDisplayNameMapping *structpb.Value `protobuf:"bytes,1,opt,name=index_display_name_mapping,json=indexDisplayNameMapping,proto3,oneof"`
}
ExplanationParameters
type ExplanationParameters struct {
// Types that are assignable to Method:
// *ExplanationParameters_SampledShapleyAttribution
// *ExplanationParameters_IntegratedGradientsAttribution
// *ExplanationParameters_XraiAttribution
Method isExplanationParameters_Method `protobuf_oneof:"method"`
// If populated, returns attributions for top K indices of outputs
// (defaults to 1). Only applies to Models that predicts more than one outputs
// (e,g, multi-class Models). When set to -1, returns explanations for all
// outputs.
TopK int32 `protobuf:"varint,4,opt,name=top_k,json=topK,proto3" json:"top_k,omitempty"`
// If populated, only returns attributions that have
// [output_index][google.cloud.aiplatform.v1.Attribution.output_index]
// contained in output_indices. It must be an ndarray of integers, with the
// same shape of the output it's explaining.
//
// If not populated, returns attributions for
// [top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
// outputs. If neither top_k nor output_indices is populated, returns the
// argmax index of the outputs.
//
// Only applicable to Models that predict multiple outputs (e,g, multi-class
// Models that predict multiple classes).
OutputIndices *structpb.ListValue `protobuf:"bytes,5,opt,name=output_indices,json=outputIndices,proto3" json:"output_indices,omitempty"`
// contains filtered or unexported fields
}
Parameters to configure explaining for Model's predictions.
func (*ExplanationParameters) Descriptor
func (*ExplanationParameters) Descriptor() ([]byte, []int)
Deprecated: Use ExplanationParameters.ProtoReflect.Descriptor instead.
func (*ExplanationParameters) GetIntegratedGradientsAttribution
func (x *ExplanationParameters) GetIntegratedGradientsAttribution() *IntegratedGradientsAttribution
func (*ExplanationParameters) GetMethod
func (m *ExplanationParameters) GetMethod() isExplanationParameters_Method
func (*ExplanationParameters) GetOutputIndices
func (x *ExplanationParameters) GetOutputIndices() *structpb.ListValue
func (*ExplanationParameters) GetSampledShapleyAttribution
func (x *ExplanationParameters) GetSampledShapleyAttribution() *SampledShapleyAttribution
func (*ExplanationParameters) GetTopK
func (x *ExplanationParameters) GetTopK() int32
func (*ExplanationParameters) GetXraiAttribution
func (x *ExplanationParameters) GetXraiAttribution() *XraiAttribution
func (*ExplanationParameters) ProtoMessage
func (*ExplanationParameters) ProtoMessage()
func (*ExplanationParameters) ProtoReflect
func (x *ExplanationParameters) ProtoReflect() protoreflect.Message
func (*ExplanationParameters) Reset
func (x *ExplanationParameters) Reset()
func (*ExplanationParameters) String
func (x *ExplanationParameters) String() string
ExplanationParameters_IntegratedGradientsAttribution
type ExplanationParameters_IntegratedGradientsAttribution struct {
// An attribution method that computes Aumann-Shapley values taking
// advantage of the model's fully differentiable structure. Refer to this
// paper for more details: https://arxiv.org/abs/1703.01365
IntegratedGradientsAttribution *IntegratedGradientsAttribution `protobuf:"bytes,2,opt,name=integrated_gradients_attribution,json=integratedGradientsAttribution,proto3,oneof"`
}
ExplanationParameters_SampledShapleyAttribution
type ExplanationParameters_SampledShapleyAttribution struct {
// An attribution method that approximates Shapley values for features that
// contribute to the label being predicted. A sampling strategy is used to
// approximate the value rather than considering all subsets of features.
// Refer to this paper for model details: https://arxiv.org/abs/1306.4265.
SampledShapleyAttribution *SampledShapleyAttribution `protobuf:"bytes,1,opt,name=sampled_shapley_attribution,json=sampledShapleyAttribution,proto3,oneof"`
}
ExplanationParameters_XraiAttribution
type ExplanationParameters_XraiAttribution struct {
// An attribution method that redistributes Integrated Gradients
// attribution to segmented regions, taking advantage of the model's fully
// differentiable structure. Refer to this paper for
// more details: https://arxiv.org/abs/1906.02825
//
// XRAI currently performs better on natural images, like a picture of a
// house or an animal. If the images are taken in artificial environments,
// like a lab or manufacturing line, or from diagnostic equipment, like
// x-rays or quality-control cameras, use Integrated Gradients instead.
XraiAttribution *XraiAttribution `protobuf:"bytes,3,opt,name=xrai_attribution,json=xraiAttribution,proto3,oneof"`
}
ExplanationSpec
type ExplanationSpec struct {
// Required. Parameters that configure explaining of the Model's predictions.
Parameters *ExplanationParameters `protobuf:"bytes,1,opt,name=parameters,proto3" json:"parameters,omitempty"`
// Optional. Metadata describing the Model's input and output for explanation.
Metadata *ExplanationMetadata `protobuf:"bytes,2,opt,name=metadata,proto3" json:"metadata,omitempty"`
// contains filtered or unexported fields
}
Specification of Model explanation.
func (*ExplanationSpec) Descriptor
func (*ExplanationSpec) Descriptor() ([]byte, []int)
Deprecated: Use ExplanationSpec.ProtoReflect.Descriptor instead.
func (*ExplanationSpec) GetMetadata
func (x *ExplanationSpec) GetMetadata() *ExplanationMetadata
func (*ExplanationSpec) GetParameters
func (x *ExplanationSpec) GetParameters() *ExplanationParameters
func (*ExplanationSpec) ProtoMessage
func (*ExplanationSpec) ProtoMessage()
func (*ExplanationSpec) ProtoReflect
func (x *ExplanationSpec) ProtoReflect() protoreflect.Message
func (*ExplanationSpec) Reset
func (x *ExplanationSpec) Reset()
func (*ExplanationSpec) String
func (x *ExplanationSpec) String() string
ExplanationSpecOverride
type ExplanationSpecOverride struct {
// The parameters to be overridden. Note that the
// [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
// changed. If not specified, no parameter is overridden.
Parameters *ExplanationParameters `protobuf:"bytes,1,opt,name=parameters,proto3" json:"parameters,omitempty"`
// The metadata to be overridden. If not specified, no metadata is overridden.
Metadata *ExplanationMetadataOverride `protobuf:"bytes,2,opt,name=metadata,proto3" json:"metadata,omitempty"`
// The example-based explanations parameter overrides.
ExamplesOverride *ExamplesOverride `protobuf:"bytes,3,opt,name=examples_override,json=examplesOverride,proto3" json:"examples_override,omitempty"`
// contains filtered or unexported fields
}
The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
func (*ExplanationSpecOverride) Descriptor
func (*ExplanationSpecOverride) Descriptor() ([]byte, []int)
Deprecated: Use ExplanationSpecOverride.ProtoReflect.Descriptor instead.
func (*ExplanationSpecOverride) GetExamplesOverride
func (x *ExplanationSpecOverride) GetExamplesOverride() *ExamplesOverride
func (*ExplanationSpecOverride) GetMetadata
func (x *ExplanationSpecOverride) GetMetadata() *ExplanationMetadataOverride
func (*ExplanationSpecOverride) GetParameters
func (x *ExplanationSpecOverride) GetParameters() *ExplanationParameters
func (*ExplanationSpecOverride) ProtoMessage
func (*ExplanationSpecOverride) ProtoMessage()
func (*ExplanationSpecOverride) ProtoReflect
func (x *ExplanationSpecOverride) ProtoReflect() protoreflect.Message
func (*ExplanationSpecOverride) Reset
func (x *ExplanationSpecOverride) Reset()
func (*ExplanationSpecOverride) String
func (x *ExplanationSpecOverride) String() string
ExportDataConfig
type ExportDataConfig struct {
// The destination of the output.
//
// Types that are assignable to Destination:
// *ExportDataConfig_GcsDestination
Destination isExportDataConfig_Destination `protobuf_oneof:"destination"`
// A filter on Annotations of the Dataset. Only Annotations on to-be-exported
// DataItems(specified by [data_items_filter][]) that match this filter will
// be exported. The filter syntax is the same as in
// [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
AnnotationsFilter string `protobuf:"bytes,2,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
// contains filtered or unexported fields
}
Describes what part of the Dataset is to be exported, the destination of the export and how to export.
func (*ExportDataConfig) Descriptor
func (*ExportDataConfig) Descriptor() ([]byte, []int)
Deprecated: Use ExportDataConfig.ProtoReflect.Descriptor instead.
func (*ExportDataConfig) GetAnnotationsFilter
func (x *ExportDataConfig) GetAnnotationsFilter() string
func (*ExportDataConfig) GetDestination
func (m *ExportDataConfig) GetDestination() isExportDataConfig_Destination
func (*ExportDataConfig) GetGcsDestination
func (x *ExportDataConfig) GetGcsDestination() *GcsDestination
func (*ExportDataConfig) ProtoMessage
func (*ExportDataConfig) ProtoMessage()
func (*ExportDataConfig) ProtoReflect
func (x *ExportDataConfig) ProtoReflect() protoreflect.Message
func (*ExportDataConfig) Reset
func (x *ExportDataConfig) Reset()
func (*ExportDataConfig) String
func (x *ExportDataConfig) String() string
ExportDataConfig_GcsDestination
type ExportDataConfig_GcsDestination struct {
// The Google Cloud Storage location where the output is to be written to.
// In the given directory a new directory will be created with name:
// `export-data-
ExportDataOperationMetadata
type ExportDataOperationMetadata struct {
// The common part of the operation metadata.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// A Google Cloud Storage directory which path ends with '/'. The exported
// data is stored in the directory.
GcsOutputDirectory string `protobuf:"bytes,2,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3" json:"gcs_output_directory,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
func (*ExportDataOperationMetadata) Descriptor
func (*ExportDataOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use ExportDataOperationMetadata.ProtoReflect.Descriptor instead.
func (*ExportDataOperationMetadata) GetGcsOutputDirectory
func (x *ExportDataOperationMetadata) GetGcsOutputDirectory() string
func (*ExportDataOperationMetadata) GetGenericMetadata
func (x *ExportDataOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*ExportDataOperationMetadata) ProtoMessage
func (*ExportDataOperationMetadata) ProtoMessage()
func (*ExportDataOperationMetadata) ProtoReflect
func (x *ExportDataOperationMetadata) ProtoReflect() protoreflect.Message
func (*ExportDataOperationMetadata) Reset
func (x *ExportDataOperationMetadata) Reset()
func (*ExportDataOperationMetadata) String
func (x *ExportDataOperationMetadata) String() string
ExportDataRequest
type ExportDataRequest struct {
// Required. The name of the Dataset resource.
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. The desired output location.
ExportConfig *ExportDataConfig `protobuf:"bytes,2,opt,name=export_config,json=exportConfig,proto3" json:"export_config,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
func (*ExportDataRequest) Descriptor
func (*ExportDataRequest) Descriptor() ([]byte, []int)
Deprecated: Use ExportDataRequest.ProtoReflect.Descriptor instead.
func (*ExportDataRequest) GetExportConfig
func (x *ExportDataRequest) GetExportConfig() *ExportDataConfig
func (*ExportDataRequest) GetName
func (x *ExportDataRequest) GetName() string
func (*ExportDataRequest) ProtoMessage
func (*ExportDataRequest) ProtoMessage()
func (*ExportDataRequest) ProtoReflect
func (x *ExportDataRequest) ProtoReflect() protoreflect.Message
func (*ExportDataRequest) Reset
func (x *ExportDataRequest) Reset()
func (*ExportDataRequest) String
func (x *ExportDataRequest) String() string
ExportDataResponse
type ExportDataResponse struct {
// All of the files that are exported in this export operation.
ExportedFiles []string `protobuf:"bytes,1,rep,name=exported_files,json=exportedFiles,proto3" json:"exported_files,omitempty"`
// contains filtered or unexported fields
}
Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
func (*ExportDataResponse) Descriptor
func (*ExportDataResponse) Descriptor() ([]byte, []int)
Deprecated: Use ExportDataResponse.ProtoReflect.Descriptor instead.
func (*ExportDataResponse) GetExportedFiles
func (x *ExportDataResponse) GetExportedFiles() []string
func (*ExportDataResponse) ProtoMessage
func (*ExportDataResponse) ProtoMessage()
func (*ExportDataResponse) ProtoReflect
func (x *ExportDataResponse) ProtoReflect() protoreflect.Message
func (*ExportDataResponse) Reset
func (x *ExportDataResponse) Reset()
func (*ExportDataResponse) String
func (x *ExportDataResponse) String() string
ExportFeatureValuesOperationMetadata
type ExportFeatureValuesOperationMetadata struct {
// Operation metadata for Featurestore export Feature values.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that exports Features values.
func (*ExportFeatureValuesOperationMetadata) Descriptor
func (*ExportFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use ExportFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.
func (*ExportFeatureValuesOperationMetadata) GetGenericMetadata
func (x *ExportFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*ExportFeatureValuesOperationMetadata) ProtoMessage
func (*ExportFeatureValuesOperationMetadata) ProtoMessage()
func (*ExportFeatureValuesOperationMetadata) ProtoReflect
func (x *ExportFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message
func (*ExportFeatureValuesOperationMetadata) Reset
func (x *ExportFeatureValuesOperationMetadata) Reset()
func (*ExportFeatureValuesOperationMetadata) String
func (x *ExportFeatureValuesOperationMetadata) String() string
ExportFeatureValuesRequest
type ExportFeatureValuesRequest struct {
// Required. The mode in which Feature values are exported.
//
// Types that are assignable to Mode:
// *ExportFeatureValuesRequest_SnapshotExport_
// *ExportFeatureValuesRequest_FullExport_
Mode isExportFeatureValuesRequest_Mode `protobuf_oneof:"mode"`
// Required. The resource name of the EntityType from which to export Feature
// values. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Required. Specifies destination location and format.
Destination *FeatureValueDestination `protobuf:"bytes,4,opt,name=destination,proto3" json:"destination,omitempty"`
// Required. Selects Features to export values of.
FeatureSelector *FeatureSelector `protobuf:"bytes,5,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
// Per-Feature export settings.
Settings []*DestinationFeatureSetting `protobuf:"bytes,6,rep,name=settings,proto3" json:"settings,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
func (*ExportFeatureValuesRequest) Descriptor
func (*ExportFeatureValuesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ExportFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*ExportFeatureValuesRequest) GetDestination
func (x *ExportFeatureValuesRequest) GetDestination() *FeatureValueDestination
func (*ExportFeatureValuesRequest) GetEntityType
func (x *ExportFeatureValuesRequest) GetEntityType() string
func (*ExportFeatureValuesRequest) GetFeatureSelector
func (x *ExportFeatureValuesRequest) GetFeatureSelector() *FeatureSelector
func (*ExportFeatureValuesRequest) GetFullExport
func (x *ExportFeatureValuesRequest) GetFullExport() *ExportFeatureValuesRequest_FullExport
func (*ExportFeatureValuesRequest) GetMode
func (m *ExportFeatureValuesRequest) GetMode() isExportFeatureValuesRequest_Mode
func (*ExportFeatureValuesRequest) GetSettings
func (x *ExportFeatureValuesRequest) GetSettings() []*DestinationFeatureSetting
func (*ExportFeatureValuesRequest) GetSnapshotExport
func (x *ExportFeatureValuesRequest) GetSnapshotExport() *ExportFeatureValuesRequest_SnapshotExport
func (*ExportFeatureValuesRequest) ProtoMessage
func (*ExportFeatureValuesRequest) ProtoMessage()
func (*ExportFeatureValuesRequest) ProtoReflect
func (x *ExportFeatureValuesRequest) ProtoReflect() protoreflect.Message
func (*ExportFeatureValuesRequest) Reset
func (x *ExportFeatureValuesRequest) Reset()
func (*ExportFeatureValuesRequest) String
func (x *ExportFeatureValuesRequest) String() string
ExportFeatureValuesRequest_FullExport
type ExportFeatureValuesRequest_FullExport struct {
// Excludes Feature values with feature generation timestamp before this
// timestamp. If not set, retrieve oldest values kept in Feature Store.
// Timestamp, if present, must not have higher than millisecond precision.
StartTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
// Exports Feature values as of this timestamp. If not set,
// retrieve values as of now. Timestamp, if present, must not have higher
// than millisecond precision.
EndTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
// contains filtered or unexported fields
}
Describes exporting all historical Feature values of all entities of the EntityType between [start_time, end_time].
func (*ExportFeatureValuesRequest_FullExport) Descriptor
func (*ExportFeatureValuesRequest_FullExport) Descriptor() ([]byte, []int)
Deprecated: Use ExportFeatureValuesRequest_FullExport.ProtoReflect.Descriptor instead.
func (*ExportFeatureValuesRequest_FullExport) GetEndTime
func (x *ExportFeatureValuesRequest_FullExport) GetEndTime() *timestamppb.Timestamp
func (*ExportFeatureValuesRequest_FullExport) GetStartTime
func (x *ExportFeatureValuesRequest_FullExport) GetStartTime() *timestamppb.Timestamp
func (*ExportFeatureValuesRequest_FullExport) ProtoMessage
func (*ExportFeatureValuesRequest_FullExport) ProtoMessage()
func (*ExportFeatureValuesRequest_FullExport) ProtoReflect
func (x *ExportFeatureValuesRequest_FullExport) ProtoReflect() protoreflect.Message
func (*ExportFeatureValuesRequest_FullExport) Reset
func (x *ExportFeatureValuesRequest_FullExport) Reset()
func (*ExportFeatureValuesRequest_FullExport) String
func (x *ExportFeatureValuesRequest_FullExport) String() string
ExportFeatureValuesRequest_FullExport_
type ExportFeatureValuesRequest_FullExport_ struct {
// Exports all historical values of all entities of the EntityType within a
// time range
FullExport *ExportFeatureValuesRequest_FullExport `protobuf:"bytes,7,opt,name=full_export,json=fullExport,proto3,oneof"`
}
ExportFeatureValuesRequest_SnapshotExport
type ExportFeatureValuesRequest_SnapshotExport struct {
// Exports Feature values as of this timestamp. If not set,
// retrieve values as of now. Timestamp, if present, must not have higher
// than millisecond precision.
SnapshotTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=snapshot_time,json=snapshotTime,proto3" json:"snapshot_time,omitempty"`
// Excludes Feature values with feature generation timestamp before this
// timestamp. If not set, retrieve oldest values kept in Feature Store.
// Timestamp, if present, must not have higher than millisecond precision.
StartTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
// contains filtered or unexported fields
}
Describes exporting the latest Feature values of all entities of the EntityType between [start_time, snapshot_time].
func (*ExportFeatureValuesRequest_SnapshotExport) Descriptor
func (*ExportFeatureValuesRequest_SnapshotExport) Descriptor() ([]byte, []int)
Deprecated: Use ExportFeatureValuesRequest_SnapshotExport.ProtoReflect.Descriptor instead.
func (*ExportFeatureValuesRequest_SnapshotExport) GetSnapshotTime
func (x *ExportFeatureValuesRequest_SnapshotExport) GetSnapshotTime() *timestamppb.Timestamp
func (*ExportFeatureValuesRequest_SnapshotExport) GetStartTime
func (x *ExportFeatureValuesRequest_SnapshotExport) GetStartTime() *timestamppb.Timestamp
func (*ExportFeatureValuesRequest_SnapshotExport) ProtoMessage
func (*ExportFeatureValuesRequest_SnapshotExport) ProtoMessage()
func (*ExportFeatureValuesRequest_SnapshotExport) ProtoReflect
func (x *ExportFeatureValuesRequest_SnapshotExport) ProtoReflect() protoreflect.Message
func (*ExportFeatureValuesRequest_SnapshotExport) Reset
func (x *ExportFeatureValuesRequest_SnapshotExport) Reset()
func (*ExportFeatureValuesRequest_SnapshotExport) String
func (x *ExportFeatureValuesRequest_SnapshotExport) String() string
ExportFeatureValuesRequest_SnapshotExport_
type ExportFeatureValuesRequest_SnapshotExport_ struct {
// Exports the latest Feature values of all entities of the EntityType
// within a time range.
SnapshotExport *ExportFeatureValuesRequest_SnapshotExport `protobuf:"bytes,3,opt,name=snapshot_export,json=snapshotExport,proto3,oneof"`
}
ExportFeatureValuesResponse
type ExportFeatureValuesResponse struct {
// contains filtered or unexported fields
}
Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
func (*ExportFeatureValuesResponse) Descriptor
func (*ExportFeatureValuesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ExportFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*ExportFeatureValuesResponse) ProtoMessage
func (*ExportFeatureValuesResponse) ProtoMessage()
func (*ExportFeatureValuesResponse) ProtoReflect
func (x *ExportFeatureValuesResponse) ProtoReflect() protoreflect.Message
func (*ExportFeatureValuesResponse) Reset
func (x *ExportFeatureValuesResponse) Reset()
func (*ExportFeatureValuesResponse) String
func (x *ExportFeatureValuesResponse) String() string
ExportModelOperationMetadata
type ExportModelOperationMetadata struct {
// The common part of the operation metadata.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// Output only. Information further describing the output of this Model
// export.
OutputInfo *ExportModelOperationMetadata_OutputInfo `protobuf:"bytes,2,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"`
// contains filtered or unexported fields
}
Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
func (*ExportModelOperationMetadata) Descriptor
func (*ExportModelOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use ExportModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*ExportModelOperationMetadata) GetGenericMetadata
func (x *ExportModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*ExportModelOperationMetadata) GetOutputInfo
func (x *ExportModelOperationMetadata) GetOutputInfo() *ExportModelOperationMetadata_OutputInfo
func (*ExportModelOperationMetadata) ProtoMessage
func (*ExportModelOperationMetadata) ProtoMessage()
func (*ExportModelOperationMetadata) ProtoReflect
func (x *ExportModelOperationMetadata) ProtoReflect() protoreflect.Message
func (*ExportModelOperationMetadata) Reset
func (x *ExportModelOperationMetadata) Reset()
func (*ExportModelOperationMetadata) String
func (x *ExportModelOperationMetadata) String() string
ExportModelOperationMetadata_OutputInfo
type ExportModelOperationMetadata_OutputInfo struct {
// Output only. If the Model artifact is being exported to Google Cloud
// Storage this is the full path of the directory created, into which the
// Model files are being written to.
ArtifactOutputUri string `protobuf:"bytes,2,opt,name=artifact_output_uri,json=artifactOutputUri,proto3" json:"artifact_output_uri,omitempty"`
// Output only. If the Model image is being exported to Google Container
// Registry or Artifact Registry this is the full path of the image created.
ImageOutputUri string `protobuf:"bytes,3,opt,name=image_output_uri,json=imageOutputUri,proto3" json:"image_output_uri,omitempty"`
// contains filtered or unexported fields
}
Further describes the output of the ExportModel. Supplements [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig].
func (*ExportModelOperationMetadata_OutputInfo) Descriptor
func (*ExportModelOperationMetadata_OutputInfo) Descriptor() ([]byte, []int)
Deprecated: Use ExportModelOperationMetadata_OutputInfo.ProtoReflect.Descriptor instead.
func (*ExportModelOperationMetadata_OutputInfo) GetArtifactOutputUri
func (x *ExportModelOperationMetadata_OutputInfo) GetArtifactOutputUri() string
func (*ExportModelOperationMetadata_OutputInfo) GetImageOutputUri
func (x *ExportModelOperationMetadata_OutputInfo) GetImageOutputUri() string
func (*ExportModelOperationMetadata_OutputInfo) ProtoMessage
func (*ExportModelOperationMetadata_OutputInfo) ProtoMessage()
func (*ExportModelOperationMetadata_OutputInfo) ProtoReflect
func (x *ExportModelOperationMetadata_OutputInfo) ProtoReflect() protoreflect.Message
func (*ExportModelOperationMetadata_OutputInfo) Reset
func (x *ExportModelOperationMetadata_OutputInfo) Reset()
func (*ExportModelOperationMetadata_OutputInfo) String
func (x *ExportModelOperationMetadata_OutputInfo) String() string
ExportModelRequest
type ExportModelRequest struct {
// Required. The resource name of the Model to export.
// The resource name may contain version id or version alias to specify the
// version, if no version is specified, the default version will be exported.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. The desired output location and configuration.
OutputConfig *ExportModelRequest_OutputConfig `protobuf:"bytes,2,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
func (*ExportModelRequest) Descriptor
func (*ExportModelRequest) Descriptor() ([]byte, []int)
Deprecated: Use ExportModelRequest.ProtoReflect.Descriptor instead.
func (*ExportModelRequest) GetName
func (x *ExportModelRequest) GetName() string
func (*ExportModelRequest) GetOutputConfig
func (x *ExportModelRequest) GetOutputConfig() *ExportModelRequest_OutputConfig
func (*ExportModelRequest) ProtoMessage
func (*ExportModelRequest) ProtoMessage()
func (*ExportModelRequest) ProtoReflect
func (x *ExportModelRequest) ProtoReflect() protoreflect.Message
func (*ExportModelRequest) Reset
func (x *ExportModelRequest) Reset()
func (*ExportModelRequest) String
func (x *ExportModelRequest) String() string
ExportModelRequest_OutputConfig
type ExportModelRequest_OutputConfig struct {
// The ID of the format in which the Model must be exported. Each Model
// lists the [export formats it
// supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If
// no value is provided here, then the first from the list of the Model's
// supported formats is used by default.
ExportFormatId string `protobuf:"bytes,1,opt,name=export_format_id,json=exportFormatId,proto3" json:"export_format_id,omitempty"`
// The Cloud Storage location where the Model artifact is to be
// written to. Under the directory given as the destination a new one with
// name "`model-export-
Output configuration for the Model export.
func (*ExportModelRequest_OutputConfig) Descriptor
func (*ExportModelRequest_OutputConfig) Descriptor() ([]byte, []int)
Deprecated: Use ExportModelRequest_OutputConfig.ProtoReflect.Descriptor instead.
func (*ExportModelRequest_OutputConfig) GetArtifactDestination
func (x *ExportModelRequest_OutputConfig) GetArtifactDestination() *GcsDestination
func (*ExportModelRequest_OutputConfig) GetExportFormatId
func (x *ExportModelRequest_OutputConfig) GetExportFormatId() string
func (*ExportModelRequest_OutputConfig) GetImageDestination
func (x *ExportModelRequest_OutputConfig) GetImageDestination() *ContainerRegistryDestination
func (*ExportModelRequest_OutputConfig) ProtoMessage
func (*ExportModelRequest_OutputConfig) ProtoMessage()
func (*ExportModelRequest_OutputConfig) ProtoReflect
func (x *ExportModelRequest_OutputConfig) ProtoReflect() protoreflect.Message
func (*ExportModelRequest_OutputConfig) Reset
func (x *ExportModelRequest_OutputConfig) Reset()
func (*ExportModelRequest_OutputConfig) String
func (x *ExportModelRequest_OutputConfig) String() string
ExportModelResponse
type ExportModelResponse struct {
// contains filtered or unexported fields
}
Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
func (*ExportModelResponse) Descriptor
func (*ExportModelResponse) Descriptor() ([]byte, []int)
Deprecated: Use ExportModelResponse.ProtoReflect.Descriptor instead.
func (*ExportModelResponse) ProtoMessage
func (*ExportModelResponse) ProtoMessage()
func (*ExportModelResponse) ProtoReflect
func (x *ExportModelResponse) ProtoReflect() protoreflect.Message
func (*ExportModelResponse) Reset
func (x *ExportModelResponse) Reset()
func (*ExportModelResponse) String
func (x *ExportModelResponse) String() string
ExportTensorboardTimeSeriesDataRequest
type ExportTensorboardTimeSeriesDataRequest struct {
// Required. The resource name of the TensorboardTimeSeries to export data
// from. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
TensorboardTimeSeries string `protobuf:"bytes,1,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
// Exports the TensorboardTimeSeries' data that match the filter expression.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of data points to return per page.
// The default page_size is 1000. Values must be between 1 and 10000.
// Values above 10000 are coerced to 10000.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [TensorboardService.ExportTensorboardTimeSeries][] call.
// Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [TensorboardService.ExportTensorboardTimeSeries][] must
// match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Field to use to sort the TensorboardTimeSeries' data.
// By default, TensorboardTimeSeries' data is returned in a pseudo random
// order.
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
func (*ExportTensorboardTimeSeriesDataRequest) Descriptor
func (*ExportTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)
Deprecated: Use ExportTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.
func (*ExportTensorboardTimeSeriesDataRequest) GetFilter
func (x *ExportTensorboardTimeSeriesDataRequest) GetFilter() string
func (*ExportTensorboardTimeSeriesDataRequest) GetOrderBy
func (x *ExportTensorboardTimeSeriesDataRequest) GetOrderBy() string
func (*ExportTensorboardTimeSeriesDataRequest) GetPageSize
func (x *ExportTensorboardTimeSeriesDataRequest) GetPageSize() int32
func (*ExportTensorboardTimeSeriesDataRequest) GetPageToken
func (x *ExportTensorboardTimeSeriesDataRequest) GetPageToken() string
func (*ExportTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries
func (x *ExportTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string
func (*ExportTensorboardTimeSeriesDataRequest) ProtoMessage
func (*ExportTensorboardTimeSeriesDataRequest) ProtoMessage()
func (*ExportTensorboardTimeSeriesDataRequest) ProtoReflect
func (x *ExportTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message
func (*ExportTensorboardTimeSeriesDataRequest) Reset
func (x *ExportTensorboardTimeSeriesDataRequest) Reset()
func (*ExportTensorboardTimeSeriesDataRequest) String
func (x *ExportTensorboardTimeSeriesDataRequest) String() string
ExportTensorboardTimeSeriesDataResponse
type ExportTensorboardTimeSeriesDataResponse struct {
// The returned time series data points.
TimeSeriesDataPoints []*TimeSeriesDataPoint `protobuf:"bytes,1,rep,name=time_series_data_points,json=timeSeriesDataPoints,proto3" json:"time_series_data_points,omitempty"`
// A token, which can be sent as
// [ExportTensorboardTimeSeriesRequest.page_token][] to retrieve the next
// page. If this field is omitted, there are no subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
func (*ExportTensorboardTimeSeriesDataResponse) Descriptor
func (*ExportTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)
Deprecated: Use ExportTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.
func (*ExportTensorboardTimeSeriesDataResponse) GetNextPageToken
func (x *ExportTensorboardTimeSeriesDataResponse) GetNextPageToken() string
func (*ExportTensorboardTimeSeriesDataResponse) GetTimeSeriesDataPoints
func (x *ExportTensorboardTimeSeriesDataResponse) GetTimeSeriesDataPoints() []*TimeSeriesDataPoint
func (*ExportTensorboardTimeSeriesDataResponse) ProtoMessage
func (*ExportTensorboardTimeSeriesDataResponse) ProtoMessage()
func (*ExportTensorboardTimeSeriesDataResponse) ProtoReflect
func (x *ExportTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message
func (*ExportTensorboardTimeSeriesDataResponse) Reset
func (x *ExportTensorboardTimeSeriesDataResponse) Reset()
func (*ExportTensorboardTimeSeriesDataResponse) String
func (x *ExportTensorboardTimeSeriesDataResponse) String() string
Feature
type Feature struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
ValueType Feature_ValueType "" /* 139 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
DisableMonitoring bool `protobuf:"varint,12,opt,name=disable_monitoring,json=disableMonitoring,proto3" json:"disable_monitoring,omitempty"`
MonitoringStatsAnomalies []*Feature_MonitoringStatsAnomaly "" /* 136 byte string literal not displayed */
}
Feature Metadata information that describes an attribute of an entity type. For example, apple is an entity type, and color is a feature that describes apple.
func (*Feature) Descriptor
Deprecated: Use Feature.ProtoReflect.Descriptor instead.
func (*Feature) GetCreateTime
func (x *Feature) GetCreateTime() *timestamppb.Timestamp
func (*Feature) GetDescription
func (*Feature) GetDisableMonitoring
func (*Feature) GetEtag
func (*Feature) GetLabels
func (*Feature) GetMonitoringStatsAnomalies
func (x *Feature) GetMonitoringStatsAnomalies() []*Feature_MonitoringStatsAnomaly
func (*Feature) GetName
func (*Feature) GetUpdateTime
func (x *Feature) GetUpdateTime() *timestamppb.Timestamp
func (*Feature) GetValueType
func (x *Feature) GetValueType() Feature_ValueType
func (*Feature) ProtoMessage
func (*Feature) ProtoMessage()
func (*Feature) ProtoReflect
func (x *Feature) ProtoReflect() protoreflect.Message
func (*Feature) Reset
func (x *Feature) Reset()
func (*Feature) String
FeatureNoiseSigma
type FeatureNoiseSigma struct {
// Noise sigma per feature. No noise is added to features that are not set.
NoiseSigma []*FeatureNoiseSigma_NoiseSigmaForFeature `protobuf:"bytes,1,rep,name=noise_sigma,json=noiseSigma,proto3" json:"noise_sigma,omitempty"`
// contains filtered or unexported fields
}
Noise sigma by features. Noise sigma represents the standard deviation of the gaussian kernel that will be used to add noise to interpolated inputs prior to computing gradients.
func (*FeatureNoiseSigma) Descriptor
func (*FeatureNoiseSigma) Descriptor() ([]byte, []int)
Deprecated: Use FeatureNoiseSigma.ProtoReflect.Descriptor instead.
func (*FeatureNoiseSigma) GetNoiseSigma
func (x *FeatureNoiseSigma) GetNoiseSigma() []*FeatureNoiseSigma_NoiseSigmaForFeature
func (*FeatureNoiseSigma) ProtoMessage
func (*FeatureNoiseSigma) ProtoMessage()
func (*FeatureNoiseSigma) ProtoReflect
func (x *FeatureNoiseSigma) ProtoReflect() protoreflect.Message
func (*FeatureNoiseSigma) Reset
func (x *FeatureNoiseSigma) Reset()
func (*FeatureNoiseSigma) String
func (x *FeatureNoiseSigma) String() string
FeatureNoiseSigma_NoiseSigmaForFeature
type FeatureNoiseSigma_NoiseSigmaForFeature struct {
// The name of the input feature for which noise sigma is provided. The
// features are defined in
// [explanation metadata
// inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// This represents the standard deviation of the Gaussian kernel that will
// be used to add noise to the feature prior to computing gradients. Similar
// to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
// but represents the noise added to the current feature. Defaults to 0.1.
Sigma float32 `protobuf:"fixed32,2,opt,name=sigma,proto3" json:"sigma,omitempty"`
// contains filtered or unexported fields
}
Noise sigma for a single feature.
func (*FeatureNoiseSigma_NoiseSigmaForFeature) Descriptor
func (*FeatureNoiseSigma_NoiseSigmaForFeature) Descriptor() ([]byte, []int)
Deprecated: Use FeatureNoiseSigma_NoiseSigmaForFeature.ProtoReflect.Descriptor instead.
func (*FeatureNoiseSigma_NoiseSigmaForFeature) GetName
func (x *FeatureNoiseSigma_NoiseSigmaForFeature) GetName() string
func (*FeatureNoiseSigma_NoiseSigmaForFeature) GetSigma
func (x *FeatureNoiseSigma_NoiseSigmaForFeature) GetSigma() float32
func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoMessage
func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoMessage()
func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoReflect
func (x *FeatureNoiseSigma_NoiseSigmaForFeature) ProtoReflect() protoreflect.Message
func (*FeatureNoiseSigma_NoiseSigmaForFeature) Reset
func (x *FeatureNoiseSigma_NoiseSigmaForFeature) Reset()
func (*FeatureNoiseSigma_NoiseSigmaForFeature) String
func (x *FeatureNoiseSigma_NoiseSigmaForFeature) String() string
FeatureSelector
type FeatureSelector struct {
// Required. Matches Features based on ID.
IdMatcher *IdMatcher `protobuf:"bytes,1,opt,name=id_matcher,json=idMatcher,proto3" json:"id_matcher,omitempty"`
// contains filtered or unexported fields
}
Selector for Features of an EntityType.
func (*FeatureSelector) Descriptor
func (*FeatureSelector) Descriptor() ([]byte, []int)
Deprecated: Use FeatureSelector.ProtoReflect.Descriptor instead.
func (*FeatureSelector) GetIdMatcher
func (x *FeatureSelector) GetIdMatcher() *IdMatcher
func (*FeatureSelector) ProtoMessage
func (*FeatureSelector) ProtoMessage()
func (*FeatureSelector) ProtoReflect
func (x *FeatureSelector) ProtoReflect() protoreflect.Message
func (*FeatureSelector) Reset
func (x *FeatureSelector) Reset()
func (*FeatureSelector) String
func (x *FeatureSelector) String() string
FeatureStatsAnomaly
type FeatureStatsAnomaly struct {
Score float64 `protobuf:"fixed64,1,opt,name=score,proto3" json:"score,omitempty"`
StatsUri string `protobuf:"bytes,3,opt,name=stats_uri,json=statsUri,proto3" json:"stats_uri,omitempty"`
AnomalyUri string `protobuf:"bytes,4,opt,name=anomaly_uri,json=anomalyUri,proto3" json:"anomaly_uri,omitempty"`
DistributionDeviation float64 `protobuf:"fixed64,5,opt,name=distribution_deviation,json=distributionDeviation,proto3" json:"distribution_deviation,omitempty"`
AnomalyDetectionThreshold float64 "" /* 140 byte string literal not displayed */
StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
}
Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display.
func (*FeatureStatsAnomaly) Descriptor
func (*FeatureStatsAnomaly) Descriptor() ([]byte, []int)
Deprecated: Use FeatureStatsAnomaly.ProtoReflect.Descriptor instead.
func (*FeatureStatsAnomaly) GetAnomalyDetectionThreshold
func (x *FeatureStatsAnomaly) GetAnomalyDetectionThreshold() float64
func (*FeatureStatsAnomaly) GetAnomalyUri
func (x *FeatureStatsAnomaly) GetAnomalyUri() string
func (*FeatureStatsAnomaly) GetDistributionDeviation
func (x *FeatureStatsAnomaly) GetDistributionDeviation() float64
func (*FeatureStatsAnomaly) GetEndTime
func (x *FeatureStatsAnomaly) GetEndTime() *timestamppb.Timestamp
func (*FeatureStatsAnomaly) GetScore
func (x *FeatureStatsAnomaly) GetScore() float64
func (*FeatureStatsAnomaly) GetStartTime
func (x *FeatureStatsAnomaly) GetStartTime() *timestamppb.Timestamp
func (*FeatureStatsAnomaly) GetStatsUri
func (x *FeatureStatsAnomaly) GetStatsUri() string
func (*FeatureStatsAnomaly) ProtoMessage
func (*FeatureStatsAnomaly) ProtoMessage()
func (*FeatureStatsAnomaly) ProtoReflect
func (x *FeatureStatsAnomaly) ProtoReflect() protoreflect.Message
func (*FeatureStatsAnomaly) Reset
func (x *FeatureStatsAnomaly) Reset()
func (*FeatureStatsAnomaly) String
func (x *FeatureStatsAnomaly) String() string
FeatureValue
type FeatureValue struct {
// Value for the feature.
//
// Types that are assignable to Value:
// *FeatureValue_BoolValue
// *FeatureValue_DoubleValue
// *FeatureValue_Int64Value
// *FeatureValue_StringValue
// *FeatureValue_BoolArrayValue
// *FeatureValue_DoubleArrayValue
// *FeatureValue_Int64ArrayValue
// *FeatureValue_StringArrayValue
// *FeatureValue_BytesValue
Value isFeatureValue_Value `protobuf_oneof:"value"`
// Metadata of feature value.
Metadata *FeatureValue_Metadata `protobuf:"bytes,14,opt,name=metadata,proto3" json:"metadata,omitempty"`
// contains filtered or unexported fields
}
Value for a feature.
func (*FeatureValue) Descriptor
func (*FeatureValue) Descriptor() ([]byte, []int)
Deprecated: Use FeatureValue.ProtoReflect.Descriptor instead.
func (*FeatureValue) GetBoolArrayValue
func (x *FeatureValue) GetBoolArrayValue() *BoolArray
func (*FeatureValue) GetBoolValue
func (x *FeatureValue) GetBoolValue() bool
func (*FeatureValue) GetBytesValue
func (x *FeatureValue) GetBytesValue() []byte
func (*FeatureValue) GetDoubleArrayValue
func (x *FeatureValue) GetDoubleArrayValue() *DoubleArray
func (*FeatureValue) GetDoubleValue
func (x *FeatureValue) GetDoubleValue() float64
func (*FeatureValue) GetInt64ArrayValue
func (x *FeatureValue) GetInt64ArrayValue() *Int64Array
func (*FeatureValue) GetInt64Value
func (x *FeatureValue) GetInt64Value() int64
func (*FeatureValue) GetMetadata
func (x *FeatureValue) GetMetadata() *FeatureValue_Metadata
func (*FeatureValue) GetStringArrayValue
func (x *FeatureValue) GetStringArrayValue() *StringArray
func (*FeatureValue) GetStringValue
func (x *FeatureValue) GetStringValue() string
func (*FeatureValue) GetValue
func (m *FeatureValue) GetValue() isFeatureValue_Value
func (*FeatureValue) ProtoMessage
func (*FeatureValue) ProtoMessage()
func (*FeatureValue) ProtoReflect
func (x *FeatureValue) ProtoReflect() protoreflect.Message
func (*FeatureValue) Reset
func (x *FeatureValue) Reset()
func (*FeatureValue) String
func (x *FeatureValue) String() string
FeatureValueDestination
type FeatureValueDestination struct {
// Types that are assignable to Destination:
// *FeatureValueDestination_BigqueryDestination
// *FeatureValueDestination_TfrecordDestination
// *FeatureValueDestination_CsvDestination
Destination isFeatureValueDestination_Destination `protobuf_oneof:"destination"`
// contains filtered or unexported fields
}
A destination location for Feature values and format.
func (*FeatureValueDestination) Descriptor
func (*FeatureValueDestination) Descriptor() ([]byte, []int)
Deprecated: Use FeatureValueDestination.ProtoReflect.Descriptor instead.
func (*FeatureValueDestination) GetBigqueryDestination
func (x *FeatureValueDestination) GetBigqueryDestination() *BigQueryDestination
func (*FeatureValueDestination) GetCsvDestination
func (x *FeatureValueDestination) GetCsvDestination() *CsvDestination
func (*FeatureValueDestination) GetDestination
func (m *FeatureValueDestination) GetDestination() isFeatureValueDestination_Destination
func (*FeatureValueDestination) GetTfrecordDestination
func (x *FeatureValueDestination) GetTfrecordDestination() *TFRecordDestination
func (*FeatureValueDestination) ProtoMessage
func (*FeatureValueDestination) ProtoMessage()
func (*FeatureValueDestination) ProtoReflect
func (x *FeatureValueDestination) ProtoReflect() protoreflect.Message
func (*FeatureValueDestination) Reset
func (x *FeatureValueDestination) Reset()
func (*FeatureValueDestination) String
func (x *FeatureValueDestination) String() string
FeatureValueDestination_BigqueryDestination
type FeatureValueDestination_BigqueryDestination struct {
// Output in BigQuery format.
// [BigQueryDestination.output_uri][google.cloud.aiplatform.v1.BigQueryDestination.output_uri]
// in
// [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1.FeatureValueDestination.bigquery_destination]
// must refer to a table.
BigqueryDestination *BigQueryDestination `protobuf:"bytes,1,opt,name=bigquery_destination,json=bigqueryDestination,proto3,oneof"`
}
FeatureValueDestination_CsvDestination
type FeatureValueDestination_CsvDestination struct {
// Output in CSV format. Array Feature value types are not allowed in CSV
// format.
CsvDestination *CsvDestination `protobuf:"bytes,3,opt,name=csv_destination,json=csvDestination,proto3,oneof"`
}
FeatureValueDestination_TfrecordDestination
type FeatureValueDestination_TfrecordDestination struct {
// Output in TFRecord format.
//
// Below are the mapping from Feature value type
// in Featurestore to Feature value type in TFRecord:
//
// Value type in Featurestore | Value type in TFRecord
// DOUBLE, DOUBLE_ARRAY | FLOAT_LIST
// INT64, INT64_ARRAY | INT64_LIST
// STRING, STRING_ARRAY, BYTES | BYTES_LIST
// true -> byte_string("true"), false -> byte_string("false")
// BOOL, BOOL_ARRAY (true, false) | BYTES_LIST
TfrecordDestination *TFRecordDestination `protobuf:"bytes,2,opt,name=tfrecord_destination,json=tfrecordDestination,proto3,oneof"`
}
FeatureValueList
type FeatureValueList struct {
// A list of feature values. All of them should be the same data type.
Values []*FeatureValue `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
// contains filtered or unexported fields
}
Container for list of values.
func (*FeatureValueList) Descriptor
func (*FeatureValueList) Descriptor() ([]byte, []int)
Deprecated: Use FeatureValueList.ProtoReflect.Descriptor instead.
func (*FeatureValueList) GetValues
func (x *FeatureValueList) GetValues() []*FeatureValue
func (*FeatureValueList) ProtoMessage
func (*FeatureValueList) ProtoMessage()
func (*FeatureValueList) ProtoReflect
func (x *FeatureValueList) ProtoReflect() protoreflect.Message
func (*FeatureValueList) Reset
func (x *FeatureValueList) Reset()
func (*FeatureValueList) String
func (x *FeatureValueList) String() string
FeatureValue_BoolArrayValue
type FeatureValue_BoolArrayValue struct {
// A list of bool type feature value.
BoolArrayValue *BoolArray `protobuf:"bytes,7,opt,name=bool_array_value,json=boolArrayValue,proto3,oneof"`
}
FeatureValue_BoolValue
type FeatureValue_BoolValue struct {
// Bool type feature value.
BoolValue bool `protobuf:"varint,1,opt,name=bool_value,json=boolValue,proto3,oneof"`
}
FeatureValue_BytesValue
type FeatureValue_BytesValue struct {
// Bytes feature value.
BytesValue []byte `protobuf:"bytes,13,opt,name=bytes_value,json=bytesValue,proto3,oneof"`
}
FeatureValue_DoubleArrayValue
type FeatureValue_DoubleArrayValue struct {
// A list of double type feature value.
DoubleArrayValue *DoubleArray `protobuf:"bytes,8,opt,name=double_array_value,json=doubleArrayValue,proto3,oneof"`
}
FeatureValue_DoubleValue
type FeatureValue_DoubleValue struct {
// Double type feature value.
DoubleValue float64 `protobuf:"fixed64,2,opt,name=double_value,json=doubleValue,proto3,oneof"`
}
FeatureValue_Int64ArrayValue
type FeatureValue_Int64ArrayValue struct {
// A list of int64 type feature value.
Int64ArrayValue *Int64Array `protobuf:"bytes,11,opt,name=int64_array_value,json=int64ArrayValue,proto3,oneof"`
}
FeatureValue_Int64Value
type FeatureValue_Int64Value struct {
// Int64 feature value.
Int64Value int64 `protobuf:"varint,5,opt,name=int64_value,json=int64Value,proto3,oneof"`
}
FeatureValue_Metadata
type FeatureValue_Metadata struct {
// Feature generation timestamp. Typically, it is provided by user at
// feature ingestion time. If not, feature store
// will use the system timestamp when the data is ingested into feature
// store. For streaming ingestion, the time, aligned by days, must be no
// older than five years (1825 days) and no later than one year (366 days)
// in the future.
GenerateTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=generate_time,json=generateTime,proto3" json:"generate_time,omitempty"`
// contains filtered or unexported fields
}
Metadata of feature value.
func (*FeatureValue_Metadata) Descriptor
func (*FeatureValue_Metadata) Descriptor() ([]byte, []int)
Deprecated: Use FeatureValue_Metadata.ProtoReflect.Descriptor instead.
func (*FeatureValue_Metadata) GetGenerateTime
func (x *FeatureValue_Metadata) GetGenerateTime() *timestamppb.Timestamp
func (*FeatureValue_Metadata) ProtoMessage
func (*FeatureValue_Metadata) ProtoMessage()
func (*FeatureValue_Metadata) ProtoReflect
func (x *FeatureValue_Metadata) ProtoReflect() protoreflect.Message
func (*FeatureValue_Metadata) Reset
func (x *FeatureValue_Metadata) Reset()
func (*FeatureValue_Metadata) String
func (x *FeatureValue_Metadata) String() string
FeatureValue_StringArrayValue
type FeatureValue_StringArrayValue struct {
// A list of string type feature value.
StringArrayValue *StringArray `protobuf:"bytes,12,opt,name=string_array_value,json=stringArrayValue,proto3,oneof"`
}
FeatureValue_StringValue
type FeatureValue_StringValue struct {
// String feature value.
StringValue string `protobuf:"bytes,6,opt,name=string_value,json=stringValue,proto3,oneof"`
}
Feature_MonitoringStatsAnomaly
type Feature_MonitoringStatsAnomaly struct {
Objective Feature_MonitoringStatsAnomaly_Objective "" /* 145 byte string literal not displayed */
FeatureStatsAnomaly *FeatureStatsAnomaly `protobuf:"bytes,2,opt,name=feature_stats_anomaly,json=featureStatsAnomaly,proto3" json:"feature_stats_anomaly,omitempty"`
}
A list of historical [Snapshot Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis] or [Import Feature Analysis] [FeaturestoreMonitoringConfig.ImportFeatureAnalysis] stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time] descending.
func (*Feature_MonitoringStatsAnomaly) Descriptor
func (*Feature_MonitoringStatsAnomaly) Descriptor() ([]byte, []int)
Deprecated: Use Feature_MonitoringStatsAnomaly.ProtoReflect.Descriptor instead.
func (*Feature_MonitoringStatsAnomaly) GetFeatureStatsAnomaly
func (x *Feature_MonitoringStatsAnomaly) GetFeatureStatsAnomaly() *FeatureStatsAnomaly
func (*Feature_MonitoringStatsAnomaly) GetObjective
func (x *Feature_MonitoringStatsAnomaly) GetObjective() Feature_MonitoringStatsAnomaly_Objective
func (*Feature_MonitoringStatsAnomaly) ProtoMessage
func (*Feature_MonitoringStatsAnomaly) ProtoMessage()
func (*Feature_MonitoringStatsAnomaly) ProtoReflect
func (x *Feature_MonitoringStatsAnomaly) ProtoReflect() protoreflect.Message
func (*Feature_MonitoringStatsAnomaly) Reset
func (x *Feature_MonitoringStatsAnomaly) Reset()
func (*Feature_MonitoringStatsAnomaly) String
func (x *Feature_MonitoringStatsAnomaly) String() string
Feature_MonitoringStatsAnomaly_Objective
type Feature_MonitoringStatsAnomaly_Objective int32
If the objective in the request is both Import Feature Analysis and Snapshot Analysis, this objective could be one of them. Otherwise, this objective should be the same as the objective in the request.
Feature_MonitoringStatsAnomaly_OBJECTIVE_UNSPECIFIED, Feature_MonitoringStatsAnomaly_IMPORT_FEATURE_ANALYSIS, Feature_MonitoringStatsAnomaly_SNAPSHOT_ANALYSIS
const (
// If it's OBJECTIVE_UNSPECIFIED, monitoring_stats will be empty.
Feature_MonitoringStatsAnomaly_OBJECTIVE_UNSPECIFIED Feature_MonitoringStatsAnomaly_Objective = 0
// Stats are generated by Import Feature Analysis.
Feature_MonitoringStatsAnomaly_IMPORT_FEATURE_ANALYSIS Feature_MonitoringStatsAnomaly_Objective = 1
// Stats are generated by Snapshot Analysis.
Feature_MonitoringStatsAnomaly_SNAPSHOT_ANALYSIS Feature_MonitoringStatsAnomaly_Objective = 2
)
func (Feature_MonitoringStatsAnomaly_Objective) Descriptor
func (Feature_MonitoringStatsAnomaly_Objective) Descriptor() protoreflect.EnumDescriptor
func (Feature_MonitoringStatsAnomaly_Objective) Enum
func (Feature_MonitoringStatsAnomaly_Objective) EnumDescriptor
func (Feature_MonitoringStatsAnomaly_Objective) EnumDescriptor() ([]byte, []int)
Deprecated: Use Feature_MonitoringStatsAnomaly_Objective.Descriptor instead.
func (Feature_MonitoringStatsAnomaly_Objective) Number
func (x Feature_MonitoringStatsAnomaly_Objective) Number() protoreflect.EnumNumber
func (Feature_MonitoringStatsAnomaly_Objective) String
func (x Feature_MonitoringStatsAnomaly_Objective) String() string
func (Feature_MonitoringStatsAnomaly_Objective) Type
func (Feature_MonitoringStatsAnomaly_Objective) Type() protoreflect.EnumType
Feature_ValueType
type Feature_ValueType int32
An enum representing the value type of a feature.
Feature_VALUE_TYPE_UNSPECIFIED, Feature_BOOL, Feature_BOOL_ARRAY, Feature_DOUBLE, Feature_DOUBLE_ARRAY, Feature_INT64, Feature_INT64_ARRAY, Feature_STRING, Feature_STRING_ARRAY, Feature_BYTES
const (
// The value type is unspecified.
Feature_VALUE_TYPE_UNSPECIFIED Feature_ValueType = 0
// Used for Feature that is a boolean.
Feature_BOOL Feature_ValueType = 1
// Used for Feature that is a list of boolean.
Feature_BOOL_ARRAY Feature_ValueType = 2
// Used for Feature that is double.
Feature_DOUBLE Feature_ValueType = 3
// Used for Feature that is a list of double.
Feature_DOUBLE_ARRAY Feature_ValueType = 4
// Used for Feature that is INT64.
Feature_INT64 Feature_ValueType = 9
// Used for Feature that is a list of INT64.
Feature_INT64_ARRAY Feature_ValueType = 10
// Used for Feature that is string.
Feature_STRING Feature_ValueType = 11
// Used for Feature that is a list of String.
Feature_STRING_ARRAY Feature_ValueType = 12
// Used for Feature that is bytes.
Feature_BYTES Feature_ValueType = 13
)
func (Feature_ValueType) Descriptor
func (Feature_ValueType) Descriptor() protoreflect.EnumDescriptor
func (Feature_ValueType) Enum
func (x Feature_ValueType) Enum() *Feature_ValueType
func (Feature_ValueType) EnumDescriptor
func (Feature_ValueType) EnumDescriptor() ([]byte, []int)
Deprecated: Use Feature_ValueType.Descriptor instead.
func (Feature_ValueType) Number
func (x Feature_ValueType) Number() protoreflect.EnumNumber
func (Feature_ValueType) String
func (x Feature_ValueType) String() string
func (Feature_ValueType) Type
func (Feature_ValueType) Type() protoreflect.EnumType
Featurestore
type Featurestore struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
OnlineServingConfig *Featurestore_OnlineServingConfig `protobuf:"bytes,7,opt,name=online_serving_config,json=onlineServingConfig,proto3" json:"online_serving_config,omitempty"`
State Featurestore_State `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Featurestore_State" json:"state,omitempty"`
EncryptionSpec *EncryptionSpec `protobuf:"bytes,10,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
}
Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features. The Featurestore is a top-level container for your features and their values.
func (*Featurestore) Descriptor
func (*Featurestore) Descriptor() ([]byte, []int)
Deprecated: Use Featurestore.ProtoReflect.Descriptor instead.
func (*Featurestore) GetCreateTime
func (x *Featurestore) GetCreateTime() *timestamppb.Timestamp
func (*Featurestore) GetEncryptionSpec
func (x *Featurestore) GetEncryptionSpec() *EncryptionSpec
func (*Featurestore) GetEtag
func (x *Featurestore) GetEtag() string
func (*Featurestore) GetLabels
func (x *Featurestore) GetLabels() map[string]string
func (*Featurestore) GetName
func (x *Featurestore) GetName() string
func (*Featurestore) GetOnlineServingConfig
func (x *Featurestore) GetOnlineServingConfig() *Featurestore_OnlineServingConfig
func (*Featurestore) GetState
func (x *Featurestore) GetState() Featurestore_State
func (*Featurestore) GetUpdateTime
func (x *Featurestore) GetUpdateTime() *timestamppb.Timestamp
func (*Featurestore) ProtoMessage
func (*Featurestore) ProtoMessage()
func (*Featurestore) ProtoReflect
func (x *Featurestore) ProtoReflect() protoreflect.Message
func (*Featurestore) Reset
func (x *Featurestore) Reset()
func (*Featurestore) String
func (x *Featurestore) String() string
FeaturestoreMonitoringConfig
type FeaturestoreMonitoringConfig struct {
SnapshotAnalysis *FeaturestoreMonitoringConfig_SnapshotAnalysis `protobuf:"bytes,1,opt,name=snapshot_analysis,json=snapshotAnalysis,proto3" json:"snapshot_analysis,omitempty"`
ImportFeaturesAnalysis *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis "" /* 129 byte string literal not displayed */
NumericalThresholdConfig *FeaturestoreMonitoringConfig_ThresholdConfig "" /* 135 byte string literal not displayed */
CategoricalThresholdConfig *FeaturestoreMonitoringConfig_ThresholdConfig "" /* 141 byte string literal not displayed */
}
Configuration of how features in Featurestore are monitored.
func (*FeaturestoreMonitoringConfig) Descriptor
func (*FeaturestoreMonitoringConfig) Descriptor() ([]byte, []int)
Deprecated: Use FeaturestoreMonitoringConfig.ProtoReflect.Descriptor instead.
func (*FeaturestoreMonitoringConfig) GetCategoricalThresholdConfig
func (x *FeaturestoreMonitoringConfig) GetCategoricalThresholdConfig() *FeaturestoreMonitoringConfig_ThresholdConfig
func (*FeaturestoreMonitoringConfig) GetImportFeaturesAnalysis
func (x *FeaturestoreMonitoringConfig) GetImportFeaturesAnalysis() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis
func (*FeaturestoreMonitoringConfig) GetNumericalThresholdConfig
func (x *FeaturestoreMonitoringConfig) GetNumericalThresholdConfig() *FeaturestoreMonitoringConfig_ThresholdConfig
func (*FeaturestoreMonitoringConfig) GetSnapshotAnalysis
func (x *FeaturestoreMonitoringConfig) GetSnapshotAnalysis() *FeaturestoreMonitoringConfig_SnapshotAnalysis
func (*FeaturestoreMonitoringConfig) ProtoMessage
func (*FeaturestoreMonitoringConfig) ProtoMessage()
func (*FeaturestoreMonitoringConfig) ProtoReflect
func (x *FeaturestoreMonitoringConfig) ProtoReflect() protoreflect.Message
func (*FeaturestoreMonitoringConfig) Reset
func (x *FeaturestoreMonitoringConfig) Reset()
func (*FeaturestoreMonitoringConfig) String
func (x *FeaturestoreMonitoringConfig) String() string
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis
type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis struct {
State FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State "" /* 154 byte string literal not displayed */
AnomalyDetectionBaseline FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline "" /* 229 byte string literal not displayed */
}
Configuration of the Featurestore's ImportFeature Analysis Based Monitoring. This type of analysis generates statistics for values of each Feature imported by every [ImportFeatureValues][] operation.
func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Descriptor
func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Descriptor() ([]byte, []int)
Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis.ProtoReflect.Descriptor instead.
func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetAnomalyDetectionBaseline
func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetAnomalyDetectionBaseline() FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline
func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetState
func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetState() FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State
func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoMessage
func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoMessage()
func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoReflect
func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoReflect() protoreflect.Message
func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Reset
func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Reset()
func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) String
func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) String() string
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline
type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline int32
Defines the baseline to do anomaly detection for feature values imported by each [ImportFeatureValues][] operation.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_BASELINE_UNSPECIFIED, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_LATEST_STATS, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_MOST_RECENT_SNAPSHOT_STATS, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_PREVIOUS_IMPORT_FEATURES_STATS
const (
// Should not be used.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_BASELINE_UNSPECIFIED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 0
// Choose the later one statistics generated by either most recent
// snapshot analysis or previous import features analysis. If non of them
// exists, skip anomaly detection and only generate a statistics.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_LATEST_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 1
// Use the statistics generated by the most recent snapshot analysis if
// exists.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_MOST_RECENT_SNAPSHOT_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 2
// Use the statistics generated by the previous import features analysis
// if exists.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_PREVIOUS_IMPORT_FEATURES_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 3
)
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Descriptor
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Descriptor() protoreflect.EnumDescriptor
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Enum
func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Enum() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) EnumDescriptor
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) EnumDescriptor() ([]byte, []int)
Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline.Descriptor instead.
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Number
func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Number() protoreflect.EnumNumber
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) String
func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) String() string
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Type
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State
type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State int32
The state defines whether to enable ImportFeature analysis.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_STATE_UNSPECIFIED, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DEFAULT, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_ENABLED, FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DISABLED
const (
// Should not be used.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_STATE_UNSPECIFIED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 0
// The default behavior of whether to enable the monitoring.
// EntityType-level config: disabled.
// Feature-level config: inherited from the configuration of EntityType
// this Feature belongs to.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DEFAULT FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 1
// Explicitly enables import features analysis.
// EntityType-level config: by default enables import features analysis
// for all Features under it. Feature-level config: enables import
// features analysis regardless of the EntityType-level config.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_ENABLED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 2
// Explicitly disables import features analysis.
// EntityType-level config: by default disables import features analysis
// for all Features under it. Feature-level config: disables import
// features analysis regardless of the EntityType-level config.
FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DISABLED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 3
)
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Descriptor
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Descriptor() protoreflect.EnumDescriptor
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Enum
func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Enum() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) EnumDescriptor
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) EnumDescriptor() ([]byte, []int)
Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State.Descriptor instead.
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Number
func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Number() protoreflect.EnumNumber
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) String
func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) String() string
func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Type
FeaturestoreMonitoringConfig_SnapshotAnalysis
type FeaturestoreMonitoringConfig_SnapshotAnalysis struct {
Disabled bool `protobuf:"varint,1,opt,name=disabled,proto3" json:"disabled,omitempty"`
MonitoringIntervalDays int32 "" /* 130 byte string literal not displayed */
StalenessDays int32 `protobuf:"varint,4,opt,name=staleness_days,json=stalenessDays,proto3" json:"staleness_days,omitempty"`
}
Configuration of the Featurestore's Snapshot Analysis Based Monitoring. This type of analysis generates statistics for each Feature based on a snapshot of the latest feature value of each entities every monitoring_interval.
func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Descriptor
func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Descriptor() ([]byte, []int)
Deprecated: Use FeaturestoreMonitoringConfig_SnapshotAnalysis.ProtoReflect.Descriptor instead.
func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetDisabled
func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetDisabled() bool
func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetMonitoringIntervalDays
func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetMonitoringIntervalDays() int32
func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetStalenessDays
func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetStalenessDays() int32
func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoMessage
func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoMessage()
func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoReflect
func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoReflect() protoreflect.Message
func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Reset
func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) Reset()
func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) String
func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) String() string
FeaturestoreMonitoringConfig_ThresholdConfig
type FeaturestoreMonitoringConfig_ThresholdConfig struct {
// Types that are assignable to Threshold:
// *FeaturestoreMonitoringConfig_ThresholdConfig_Value
Threshold isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold `protobuf_oneof:"threshold"`
// contains filtered or unexported fields
}
The config for Featurestore Monitoring threshold.
func (*FeaturestoreMonitoringConfig_ThresholdConfig) Descriptor
func (*FeaturestoreMonitoringConfig_ThresholdConfig) Descriptor() ([]byte, []int)
Deprecated: Use FeaturestoreMonitoringConfig_ThresholdConfig.ProtoReflect.Descriptor instead.
func (*FeaturestoreMonitoringConfig_ThresholdConfig) GetThreshold
func (m *FeaturestoreMonitoringConfig_ThresholdConfig) GetThreshold() isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold
func (*FeaturestoreMonitoringConfig_ThresholdConfig) GetValue
func (x *FeaturestoreMonitoringConfig_ThresholdConfig) GetValue() float64
func (*FeaturestoreMonitoringConfig_ThresholdConfig) ProtoMessage
func (*FeaturestoreMonitoringConfig_ThresholdConfig) ProtoMessage()
func (*FeaturestoreMonitoringConfig_ThresholdConfig) ProtoReflect
func (x *FeaturestoreMonitoringConfig_ThresholdConfig) ProtoReflect() protoreflect.Message
func (*FeaturestoreMonitoringConfig_ThresholdConfig) Reset
func (x *FeaturestoreMonitoringConfig_ThresholdConfig) Reset()
func (*FeaturestoreMonitoringConfig_ThresholdConfig) String
func (x *FeaturestoreMonitoringConfig_ThresholdConfig) String() string
FeaturestoreMonitoringConfig_ThresholdConfig_Value
type FeaturestoreMonitoringConfig_ThresholdConfig_Value struct {
// Specify a threshold value that can trigger the alert.
// 1. For categorical feature, the distribution distance is calculated by
// L-inifinity norm.
// 2. For numerical feature, the distribution distance is calculated by
// Jensen–Shannon divergence. Each feature must have a non-zero threshold
// if they need to be monitored. Otherwise no alert will be triggered for
// that feature.
Value float64 `protobuf:"fixed64,1,opt,name=value,proto3,oneof"`
}
FeaturestoreOnlineServingServiceClient
type FeaturestoreOnlineServingServiceClient interface {
// Reads Feature values of a specific entity of an EntityType. For reading
// feature values of multiple entities of an EntityType, please use
// StreamingReadFeatureValues.
ReadFeatureValues(ctx context.Context, in *ReadFeatureValuesRequest, opts ...grpc.CallOption) (*ReadFeatureValuesResponse, error)
// Reads Feature values for multiple entities. Depending on their size, data
// for different entities may be broken
// up across multiple responses.
StreamingReadFeatureValues(ctx context.Context, in *StreamingReadFeatureValuesRequest, opts ...grpc.CallOption) (FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient, error)
// Writes Feature values of one or more entities of an EntityType.
//
// The Feature values are merged into existing entities if any. The Feature
// values to be written must have timestamp within the online storage
// retention.
WriteFeatureValues(ctx context.Context, in *WriteFeatureValuesRequest, opts ...grpc.CallOption) (*WriteFeatureValuesResponse, error)
}
FeaturestoreOnlineServingServiceClient is the client API for FeaturestoreOnlineServingService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewFeaturestoreOnlineServingServiceClient
func NewFeaturestoreOnlineServingServiceClient(cc grpc.ClientConnInterface) FeaturestoreOnlineServingServiceClient
FeaturestoreOnlineServingServiceServer
type FeaturestoreOnlineServingServiceServer interface {
// Reads Feature values of a specific entity of an EntityType. For reading
// feature values of multiple entities of an EntityType, please use
// StreamingReadFeatureValues.
ReadFeatureValues(context.Context, *ReadFeatureValuesRequest) (*ReadFeatureValuesResponse, error)
// Reads Feature values for multiple entities. Depending on their size, data
// for different entities may be broken
// up across multiple responses.
StreamingReadFeatureValues(*StreamingReadFeatureValuesRequest, FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer) error
// Writes Feature values of one or more entities of an EntityType.
//
// The Feature values are merged into existing entities if any. The Feature
// values to be written must have timestamp within the online storage
// retention.
WriteFeatureValues(context.Context, *WriteFeatureValuesRequest) (*WriteFeatureValuesResponse, error)
}
FeaturestoreOnlineServingServiceServer is the server API for FeaturestoreOnlineServingService service.
FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient
type FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient interface {
Recv() (*ReadFeatureValuesResponse, error)
grpc.ClientStream
}
FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer
type FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer interface {
Send(*ReadFeatureValuesResponse) error
grpc.ServerStream
}
FeaturestoreServiceClient
type FeaturestoreServiceClient interface {
// Creates a new Featurestore in a given project and location.
CreateFeaturestore(ctx context.Context, in *CreateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Gets details of a single Featurestore.
GetFeaturestore(ctx context.Context, in *GetFeaturestoreRequest, opts ...grpc.CallOption) (*Featurestore, error)
// Lists Featurestores in a given project and location.
ListFeaturestores(ctx context.Context, in *ListFeaturestoresRequest, opts ...grpc.CallOption) (*ListFeaturestoresResponse, error)
// Updates the parameters of a single Featurestore.
UpdateFeaturestore(ctx context.Context, in *UpdateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Deletes a single Featurestore. The Featurestore must not contain any
// EntityTypes or `force` must be set to true for the request to succeed.
DeleteFeaturestore(ctx context.Context, in *DeleteFeaturestoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Creates a new EntityType in a given Featurestore.
CreateEntityType(ctx context.Context, in *CreateEntityTypeRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Gets details of a single EntityType.
GetEntityType(ctx context.Context, in *GetEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error)
// Lists EntityTypes in a given Featurestore.
ListEntityTypes(ctx context.Context, in *ListEntityTypesRequest, opts ...grpc.CallOption) (*ListEntityTypesResponse, error)
// Updates the parameters of a single EntityType.
UpdateEntityType(ctx context.Context, in *UpdateEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error)
// Deletes a single EntityType. The EntityType must not have any Features
// or `force` must be set to true for the request to succeed.
DeleteEntityType(ctx context.Context, in *DeleteEntityTypeRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Creates a new Feature in a given EntityType.
CreateFeature(ctx context.Context, in *CreateFeatureRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Creates a batch of Features in a given EntityType.
BatchCreateFeatures(ctx context.Context, in *BatchCreateFeaturesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Gets details of a single Feature.
GetFeature(ctx context.Context, in *GetFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
// Lists Features in a given EntityType.
ListFeatures(ctx context.Context, in *ListFeaturesRequest, opts ...grpc.CallOption) (*ListFeaturesResponse, error)
// Updates the parameters of a single Feature.
UpdateFeature(ctx context.Context, in *UpdateFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
// Deletes a single Feature.
DeleteFeature(ctx context.Context, in *DeleteFeatureRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Imports Feature values into the Featurestore from a source storage.
//
// The progress of the import is tracked by the returned operation. The
// imported features are guaranteed to be visible to subsequent read
// operations after the operation is marked as successfully done.
//
// If an import operation fails, the Feature values returned from
// reads and exports may be inconsistent. If consistency is
// required, the caller must retry the same import request again and wait till
// the new operation returned is marked as successfully done.
//
// There are also scenarios where the caller can cause inconsistency.
//
// - Source data for import contains multiple distinct Feature values for
// the same entity ID and timestamp.
// - Source is modified during an import. This includes adding, updating, or
// removing source data and/or metadata. Examples of updating metadata
// include but are not limited to changing storage location, storage class,
// or retention policy.
// - Online serving cluster is under-provisioned.
ImportFeatureValues(ctx context.Context, in *ImportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Batch reads Feature values from a Featurestore.
//
// This API enables batch reading Feature values, where each read
// instance in the batch may read Feature values of entities from one or
// more EntityTypes. Point-in-time correctness is guaranteed for Feature
// values of each read instance as of each instance's read timestamp.
BatchReadFeatureValues(ctx context.Context, in *BatchReadFeatureValuesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Exports Feature values from all the entities of a target EntityType.
ExportFeatureValues(ctx context.Context, in *ExportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Searches Features matching a query in a given project.
SearchFeatures(ctx context.Context, in *SearchFeaturesRequest, opts ...grpc.CallOption) (*SearchFeaturesResponse, error)
}
FeaturestoreServiceClient is the client API for FeaturestoreService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewFeaturestoreServiceClient
func NewFeaturestoreServiceClient(cc grpc.ClientConnInterface) FeaturestoreServiceClient
FeaturestoreServiceServer
type FeaturestoreServiceServer interface {
// Creates a new Featurestore in a given project and location.
CreateFeaturestore(context.Context, *CreateFeaturestoreRequest) (*longrunning.Operation, error)
// Gets details of a single Featurestore.
GetFeaturestore(context.Context, *GetFeaturestoreRequest) (*Featurestore, error)
// Lists Featurestores in a given project and location.
ListFeaturestores(context.Context, *ListFeaturestoresRequest) (*ListFeaturestoresResponse, error)
// Updates the parameters of a single Featurestore.
UpdateFeaturestore(context.Context, *UpdateFeaturestoreRequest) (*longrunning.Operation, error)
// Deletes a single Featurestore. The Featurestore must not contain any
// EntityTypes or `force` must be set to true for the request to succeed.
DeleteFeaturestore(context.Context, *DeleteFeaturestoreRequest) (*longrunning.Operation, error)
// Creates a new EntityType in a given Featurestore.
CreateEntityType(context.Context, *CreateEntityTypeRequest) (*longrunning.Operation, error)
// Gets details of a single EntityType.
GetEntityType(context.Context, *GetEntityTypeRequest) (*EntityType, error)
// Lists EntityTypes in a given Featurestore.
ListEntityTypes(context.Context, *ListEntityTypesRequest) (*ListEntityTypesResponse, error)
// Updates the parameters of a single EntityType.
UpdateEntityType(context.Context, *UpdateEntityTypeRequest) (*EntityType, error)
// Deletes a single EntityType. The EntityType must not have any Features
// or `force` must be set to true for the request to succeed.
DeleteEntityType(context.Context, *DeleteEntityTypeRequest) (*longrunning.Operation, error)
// Creates a new Feature in a given EntityType.
CreateFeature(context.Context, *CreateFeatureRequest) (*longrunning.Operation, error)
// Creates a batch of Features in a given EntityType.
BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunning.Operation, error)
// Gets details of a single Feature.
GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)
// Lists Features in a given EntityType.
ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)
// Updates the parameters of a single Feature.
UpdateFeature(context.Context, *UpdateFeatureRequest) (*Feature, error)
// Deletes a single Feature.
DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunning.Operation, error)
// Imports Feature values into the Featurestore from a source storage.
//
// The progress of the import is tracked by the returned operation. The
// imported features are guaranteed to be visible to subsequent read
// operations after the operation is marked as successfully done.
//
// If an import operation fails, the Feature values returned from
// reads and exports may be inconsistent. If consistency is
// required, the caller must retry the same import request again and wait till
// the new operation returned is marked as successfully done.
//
// There are also scenarios where the caller can cause inconsistency.
//
// - Source data for import contains multiple distinct Feature values for
// the same entity ID and timestamp.
// - Source is modified during an import. This includes adding, updating, or
// removing source data and/or metadata. Examples of updating metadata
// include but are not limited to changing storage location, storage class,
// or retention policy.
// - Online serving cluster is under-provisioned.
ImportFeatureValues(context.Context, *ImportFeatureValuesRequest) (*longrunning.Operation, error)
// Batch reads Feature values from a Featurestore.
//
// This API enables batch reading Feature values, where each read
// instance in the batch may read Feature values of entities from one or
// more EntityTypes. Point-in-time correctness is guaranteed for Feature
// values of each read instance as of each instance's read timestamp.
BatchReadFeatureValues(context.Context, *BatchReadFeatureValuesRequest) (*longrunning.Operation, error)
// Exports Feature values from all the entities of a target EntityType.
ExportFeatureValues(context.Context, *ExportFeatureValuesRequest) (*longrunning.Operation, error)
// Searches Features matching a query in a given project.
SearchFeatures(context.Context, *SearchFeaturesRequest) (*SearchFeaturesResponse, error)
}
FeaturestoreServiceServer is the server API for FeaturestoreService service.
Featurestore_OnlineServingConfig
type Featurestore_OnlineServingConfig struct {
// The number of nodes for the online store. The number of nodes doesn't
// scale automatically, but you can manually update the number of
// nodes. If set to 0, the featurestore will not have an
// online store and cannot be used for online serving.
FixedNodeCount int32 `protobuf:"varint,2,opt,name=fixed_node_count,json=fixedNodeCount,proto3" json:"fixed_node_count,omitempty"`
// Online serving scaling configuration.
// Only one of `fixed_node_count` and `scaling` can be set. Setting one will
// reset the other.
Scaling *Featurestore_OnlineServingConfig_Scaling `protobuf:"bytes,4,opt,name=scaling,proto3" json:"scaling,omitempty"`
// contains filtered or unexported fields
}
OnlineServingConfig specifies the details for provisioning online serving resources.
func (*Featurestore_OnlineServingConfig) Descriptor
func (*Featurestore_OnlineServingConfig) Descriptor() ([]byte, []int)
Deprecated: Use Featurestore_OnlineServingConfig.ProtoReflect.Descriptor instead.
func (*Featurestore_OnlineServingConfig) GetFixedNodeCount
func (x *Featurestore_OnlineServingConfig) GetFixedNodeCount() int32
func (*Featurestore_OnlineServingConfig) GetScaling
func (x *Featurestore_OnlineServingConfig) GetScaling() *Featurestore_OnlineServingConfig_Scaling
func (*Featurestore_OnlineServingConfig) ProtoMessage
func (*Featurestore_OnlineServingConfig) ProtoMessage()
func (*Featurestore_OnlineServingConfig) ProtoReflect
func (x *Featurestore_OnlineServingConfig) ProtoReflect() protoreflect.Message
func (*Featurestore_OnlineServingConfig) Reset
func (x *Featurestore_OnlineServingConfig) Reset()
func (*Featurestore_OnlineServingConfig) String
func (x *Featurestore_OnlineServingConfig) String() string
Featurestore_OnlineServingConfig_Scaling
type Featurestore_OnlineServingConfig_Scaling struct {
// Required. The minimum number of nodes to scale down to. Must be greater
// than or equal to 1.
MinNodeCount int32 `protobuf:"varint,1,opt,name=min_node_count,json=minNodeCount,proto3" json:"min_node_count,omitempty"`
// The maximum number of nodes to scale up to. Must be greater than
// min_node_count, and less than or equal to 10 times of 'min_node_count'.
MaxNodeCount int32 `protobuf:"varint,2,opt,name=max_node_count,json=maxNodeCount,proto3" json:"max_node_count,omitempty"`
// contains filtered or unexported fields
}
Online serving scaling configuration. If min_node_count and max_node_count are set to the same value, the cluster will be configured with the fixed number of node (no auto-scaling).
func (*Featurestore_OnlineServingConfig_Scaling) Descriptor
func (*Featurestore_OnlineServingConfig_Scaling) Descriptor() ([]byte, []int)
Deprecated: Use Featurestore_OnlineServingConfig_Scaling.ProtoReflect.Descriptor instead.
func (*Featurestore_OnlineServingConfig_Scaling) GetMaxNodeCount
func (x *Featurestore_OnlineServingConfig_Scaling) GetMaxNodeCount() int32
func (*Featurestore_OnlineServingConfig_Scaling) GetMinNodeCount
func (x *Featurestore_OnlineServingConfig_Scaling) GetMinNodeCount() int32
func (*Featurestore_OnlineServingConfig_Scaling) ProtoMessage
func (*Featurestore_OnlineServingConfig_Scaling) ProtoMessage()
func (*Featurestore_OnlineServingConfig_Scaling) ProtoReflect
func (x *Featurestore_OnlineServingConfig_Scaling) ProtoReflect() protoreflect.Message
func (*Featurestore_OnlineServingConfig_Scaling) Reset
func (x *Featurestore_OnlineServingConfig_Scaling) Reset()
func (*Featurestore_OnlineServingConfig_Scaling) String
func (x *Featurestore_OnlineServingConfig_Scaling) String() string
Featurestore_State
type Featurestore_State int32
Possible states a featurestore can have.
Featurestore_STATE_UNSPECIFIED, Featurestore_STABLE, Featurestore_UPDATING
const (
// Default value. This value is unused.
Featurestore_STATE_UNSPECIFIED Featurestore_State = 0
// State when the featurestore configuration is not being updated and the
// fields reflect the current configuration of the featurestore. The
// featurestore is usable in this state.
Featurestore_STABLE Featurestore_State = 1
// The state of the featurestore configuration when it is being updated.
// During an update, the fields reflect either the original configuration
// or the updated configuration of the featurestore. For example,
// `online_serving_config.fixed_node_count` can take minutes to update.
// While the update is in progress, the featurestore is in the UPDATING
// state, and the value of `fixed_node_count` can be the original value or
// the updated value, depending on the progress of the operation. Until the
// update completes, the actual number of nodes can still be the original
// value of `fixed_node_count`. The featurestore is still usable in this
// state.
Featurestore_UPDATING Featurestore_State = 2
)
func (Featurestore_State) Descriptor
func (Featurestore_State) Descriptor() protoreflect.EnumDescriptor
func (Featurestore_State) Enum
func (x Featurestore_State) Enum() *Featurestore_State
func (Featurestore_State) EnumDescriptor
func (Featurestore_State) EnumDescriptor() ([]byte, []int)
Deprecated: Use Featurestore_State.Descriptor instead.
func (Featurestore_State) Number
func (x Featurestore_State) Number() protoreflect.EnumNumber
func (Featurestore_State) String
func (x Featurestore_State) String() string
func (Featurestore_State) Type
func (Featurestore_State) Type() protoreflect.EnumType
FilterSplit
type FilterSplit struct {
// Required. A filter on DataItems of the Dataset. DataItems that match
// this filter are used to train the Model. A filter with same syntax
// as the one used in
// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
// may be used. If a single DataItem is matched by more than one of the
// FilterSplit filters, then it is assigned to the first set that applies to
// it in the training, validation, test order.
TrainingFilter string `protobuf:"bytes,1,opt,name=training_filter,json=trainingFilter,proto3" json:"training_filter,omitempty"`
// Required. A filter on DataItems of the Dataset. DataItems that match
// this filter are used to validate the Model. A filter with same syntax
// as the one used in
// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
// may be used. If a single DataItem is matched by more than one of the
// FilterSplit filters, then it is assigned to the first set that applies to
// it in the training, validation, test order.
ValidationFilter string `protobuf:"bytes,2,opt,name=validation_filter,json=validationFilter,proto3" json:"validation_filter,omitempty"`
// Required. A filter on DataItems of the Dataset. DataItems that match
// this filter are used to test the Model. A filter with same syntax
// as the one used in
// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]
// may be used. If a single DataItem is matched by more than one of the
// FilterSplit filters, then it is assigned to the first set that applies to
// it in the training, validation, test order.
TestFilter string `protobuf:"bytes,3,opt,name=test_filter,json=testFilter,proto3" json:"test_filter,omitempty"`
// contains filtered or unexported fields
}
Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored. Currently only supported for Datasets containing DataItems. If any of the filters in this message are to match nothing, then they can be set as '-' (the minus sign).
Supported only for unstructured Datasets.
func (*FilterSplit) Descriptor
func (*FilterSplit) Descriptor() ([]byte, []int)
Deprecated: Use FilterSplit.ProtoReflect.Descriptor instead.
func (*FilterSplit) GetTestFilter
func (x *FilterSplit) GetTestFilter() string
func (*FilterSplit) GetTrainingFilter
func (x *FilterSplit) GetTrainingFilter() string
func (*FilterSplit) GetValidationFilter
func (x *FilterSplit) GetValidationFilter() string
func (*FilterSplit) ProtoMessage
func (*FilterSplit) ProtoMessage()
func (*FilterSplit) ProtoReflect
func (x *FilterSplit) ProtoReflect() protoreflect.Message
func (*FilterSplit) Reset
func (x *FilterSplit) Reset()
func (*FilterSplit) String
func (x *FilterSplit) String() string
FractionSplit
type FractionSplit struct {
// The fraction of the input data that is to be used to train the Model.
TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
// The fraction of the input data that is to be used to validate the Model.
ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
// The fraction of the input data that is to be used to evaluate the Model.
TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
// contains filtered or unexported fields
}
Assigns the input data to training, validation, and test sets as per the
given fractions. Any of training_fraction
, validation_fraction
and
test_fraction
may optionally be provided, they must sum to up to 1. If the
provided ones sum to less than 1, the remainder is assigned to sets as
decided by Vertex AI. If none of the fractions are set, by default roughly
80% of data is used for training, 10% for validation, and 10% for test.
func (*FractionSplit) Descriptor
func (*FractionSplit) Descriptor() ([]byte, []int)
Deprecated: Use FractionSplit.ProtoReflect.Descriptor instead.
func (*FractionSplit) GetTestFraction
func (x *FractionSplit) GetTestFraction() float64
func (*FractionSplit) GetTrainingFraction
func (x *FractionSplit) GetTrainingFraction() float64
func (*FractionSplit) GetValidationFraction
func (x *FractionSplit) GetValidationFraction() float64
func (*FractionSplit) ProtoMessage
func (*FractionSplit) ProtoMessage()
func (*FractionSplit) ProtoReflect
func (x *FractionSplit) ProtoReflect() protoreflect.Message
func (*FractionSplit) Reset
func (x *FractionSplit) Reset()
func (*FractionSplit) String
func (x *FractionSplit) String() string
GcsDestination
type GcsDestination struct {
// Required. Google Cloud Storage URI to output directory. If the uri doesn't
// end with
// '/', a '/' will be automatically appended. The directory is created if it
// doesn't exist.
OutputUriPrefix string `protobuf:"bytes,1,opt,name=output_uri_prefix,json=outputUriPrefix,proto3" json:"output_uri_prefix,omitempty"`
// contains filtered or unexported fields
}
The Google Cloud Storage location where the output is to be written to.
func (*GcsDestination) Descriptor
func (*GcsDestination) Descriptor() ([]byte, []int)
Deprecated: Use GcsDestination.ProtoReflect.Descriptor instead.
func (*GcsDestination) GetOutputUriPrefix
func (x *GcsDestination) GetOutputUriPrefix() string
func (*GcsDestination) ProtoMessage
func (*GcsDestination) ProtoMessage()
func (*GcsDestination) ProtoReflect
func (x *GcsDestination) ProtoReflect() protoreflect.Message
func (*GcsDestination) Reset
func (x *GcsDestination) Reset()
func (*GcsDestination) String
func (x *GcsDestination) String() string
GcsSource
type GcsSource struct {
// Required. Google Cloud Storage URI(-s) to the input file(s). May contain
// wildcards. For more information on wildcards, see
// https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
Uris []string `protobuf:"bytes,1,rep,name=uris,proto3" json:"uris,omitempty"`
// contains filtered or unexported fields
}
The Google Cloud Storage location for the input content.
func (*GcsSource) Descriptor
Deprecated: Use GcsSource.ProtoReflect.Descriptor instead.
func (*GcsSource) GetUris
func (*GcsSource) ProtoMessage
func (*GcsSource) ProtoMessage()
func (*GcsSource) ProtoReflect
func (x *GcsSource) ProtoReflect() protoreflect.Message
func (*GcsSource) Reset
func (x *GcsSource) Reset()
func (*GcsSource) String
GenericOperationMetadata
type GenericOperationMetadata struct {
// Output only. Partial failures encountered.
// E.g. single files that couldn't be read.
// This field should never exceed 20 entries.
// Status details field will contain standard Google Cloud error details.
PartialFailures []*status.Status `protobuf:"bytes,1,rep,name=partial_failures,json=partialFailures,proto3" json:"partial_failures,omitempty"`
// Output only. Time when the operation was created.
CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
// Output only. Time when the operation was updated for the last time.
// If the operation has finished (successfully or not), this is the finish
// time.
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
// contains filtered or unexported fields
}
Generic Metadata shared by all operations.
func (*GenericOperationMetadata) Descriptor
func (*GenericOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use GenericOperationMetadata.ProtoReflect.Descriptor instead.
func (*GenericOperationMetadata) GetCreateTime
func (x *GenericOperationMetadata) GetCreateTime() *timestamppb.Timestamp
func (*GenericOperationMetadata) GetPartialFailures
func (x *GenericOperationMetadata) GetPartialFailures() []*status.Status
func (*GenericOperationMetadata) GetUpdateTime
func (x *GenericOperationMetadata) GetUpdateTime() *timestamppb.Timestamp
func (*GenericOperationMetadata) ProtoMessage
func (*GenericOperationMetadata) ProtoMessage()
func (*GenericOperationMetadata) ProtoReflect
func (x *GenericOperationMetadata) ProtoReflect() protoreflect.Message
func (*GenericOperationMetadata) Reset
func (x *GenericOperationMetadata) Reset()
func (*GenericOperationMetadata) String
func (x *GenericOperationMetadata) String() string
GetAnnotationSpecRequest
type GetAnnotationSpecRequest struct {
// Required. The name of the AnnotationSpec resource.
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
func (*GetAnnotationSpecRequest) Descriptor
func (*GetAnnotationSpecRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetAnnotationSpecRequest.ProtoReflect.Descriptor instead.
func (*GetAnnotationSpecRequest) GetName
func (x *GetAnnotationSpecRequest) GetName() string
func (*GetAnnotationSpecRequest) GetReadMask
func (x *GetAnnotationSpecRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*GetAnnotationSpecRequest) ProtoMessage
func (*GetAnnotationSpecRequest) ProtoMessage()
func (*GetAnnotationSpecRequest) ProtoReflect
func (x *GetAnnotationSpecRequest) ProtoReflect() protoreflect.Message
func (*GetAnnotationSpecRequest) Reset
func (x *GetAnnotationSpecRequest) Reset()
func (*GetAnnotationSpecRequest) String
func (x *GetAnnotationSpecRequest) String() string
GetArtifactRequest
type GetArtifactRequest struct {
// Required. The resource name of the Artifact to retrieve.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
func (*GetArtifactRequest) Descriptor
func (*GetArtifactRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetArtifactRequest.ProtoReflect.Descriptor instead.
func (*GetArtifactRequest) GetName
func (x *GetArtifactRequest) GetName() string
func (*GetArtifactRequest) ProtoMessage
func (*GetArtifactRequest) ProtoMessage()
func (*GetArtifactRequest) ProtoReflect
func (x *GetArtifactRequest) ProtoReflect() protoreflect.Message
func (*GetArtifactRequest) Reset
func (x *GetArtifactRequest) Reset()
func (*GetArtifactRequest) String
func (x *GetArtifactRequest) String() string
GetBatchPredictionJobRequest
type GetBatchPredictionJobRequest struct {
// Required. The name of the BatchPredictionJob resource.
// Format:
// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
func (*GetBatchPredictionJobRequest) Descriptor
func (*GetBatchPredictionJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetBatchPredictionJobRequest.ProtoReflect.Descriptor instead.
func (*GetBatchPredictionJobRequest) GetName
func (x *GetBatchPredictionJobRequest) GetName() string
func (*GetBatchPredictionJobRequest) ProtoMessage
func (*GetBatchPredictionJobRequest) ProtoMessage()
func (*GetBatchPredictionJobRequest) ProtoReflect
func (x *GetBatchPredictionJobRequest) ProtoReflect() protoreflect.Message
func (*GetBatchPredictionJobRequest) Reset
func (x *GetBatchPredictionJobRequest) Reset()
func (*GetBatchPredictionJobRequest) String
func (x *GetBatchPredictionJobRequest) String() string
GetContextRequest
type GetContextRequest struct {
// Required. The resource name of the Context to retrieve.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
func (*GetContextRequest) Descriptor
func (*GetContextRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetContextRequest.ProtoReflect.Descriptor instead.
func (*GetContextRequest) GetName
func (x *GetContextRequest) GetName() string
func (*GetContextRequest) ProtoMessage
func (*GetContextRequest) ProtoMessage()
func (*GetContextRequest) ProtoReflect
func (x *GetContextRequest) ProtoReflect() protoreflect.Message
func (*GetContextRequest) Reset
func (x *GetContextRequest) Reset()
func (*GetContextRequest) String
func (x *GetContextRequest) String() string
GetCustomJobRequest
type GetCustomJobRequest struct {
// Required. The name of the CustomJob resource.
// Format:
// `projects/{project}/locations/{location}/customJobs/{custom_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
func (*GetCustomJobRequest) Descriptor
func (*GetCustomJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetCustomJobRequest.ProtoReflect.Descriptor instead.
func (*GetCustomJobRequest) GetName
func (x *GetCustomJobRequest) GetName() string
func (*GetCustomJobRequest) ProtoMessage
func (*GetCustomJobRequest) ProtoMessage()
func (*GetCustomJobRequest) ProtoReflect
func (x *GetCustomJobRequest) ProtoReflect() protoreflect.Message
func (*GetCustomJobRequest) Reset
func (x *GetCustomJobRequest) Reset()
func (*GetCustomJobRequest) String
func (x *GetCustomJobRequest) String() string
GetDataLabelingJobRequest
type GetDataLabelingJobRequest struct {
// Required. The name of the DataLabelingJob.
// Format:
// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
func (*GetDataLabelingJobRequest) Descriptor
func (*GetDataLabelingJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetDataLabelingJobRequest.ProtoReflect.Descriptor instead.
func (*GetDataLabelingJobRequest) GetName
func (x *GetDataLabelingJobRequest) GetName() string
func (*GetDataLabelingJobRequest) ProtoMessage
func (*GetDataLabelingJobRequest) ProtoMessage()
func (*GetDataLabelingJobRequest) ProtoReflect
func (x *GetDataLabelingJobRequest) ProtoReflect() protoreflect.Message
func (*GetDataLabelingJobRequest) Reset
func (x *GetDataLabelingJobRequest) Reset()
func (*GetDataLabelingJobRequest) String
func (x *GetDataLabelingJobRequest) String() string
GetDatasetRequest
type GetDatasetRequest struct {
// Required. The name of the Dataset resource.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
func (*GetDatasetRequest) Descriptor
func (*GetDatasetRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetDatasetRequest.ProtoReflect.Descriptor instead.
func (*GetDatasetRequest) GetName
func (x *GetDatasetRequest) GetName() string
func (*GetDatasetRequest) GetReadMask
func (x *GetDatasetRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*GetDatasetRequest) ProtoMessage
func (*GetDatasetRequest) ProtoMessage()
func (*GetDatasetRequest) ProtoReflect
func (x *GetDatasetRequest) ProtoReflect() protoreflect.Message
func (*GetDatasetRequest) Reset
func (x *GetDatasetRequest) Reset()
func (*GetDatasetRequest) String
func (x *GetDatasetRequest) String() string
GetEndpointRequest
type GetEndpointRequest struct {
// Required. The name of the Endpoint resource.
// Format:
// `projects/{project}/locations/{location}/endpoints/{endpoint}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
func (*GetEndpointRequest) Descriptor
func (*GetEndpointRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetEndpointRequest.ProtoReflect.Descriptor instead.
func (*GetEndpointRequest) GetName
func (x *GetEndpointRequest) GetName() string
func (*GetEndpointRequest) ProtoMessage
func (*GetEndpointRequest) ProtoMessage()
func (*GetEndpointRequest) ProtoReflect
func (x *GetEndpointRequest) ProtoReflect() protoreflect.Message
func (*GetEndpointRequest) Reset
func (x *GetEndpointRequest) Reset()
func (*GetEndpointRequest) String
func (x *GetEndpointRequest) String() string
GetEntityTypeRequest
type GetEntityTypeRequest struct {
// Required. The name of the EntityType resource.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
func (*GetEntityTypeRequest) Descriptor
func (*GetEntityTypeRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetEntityTypeRequest.ProtoReflect.Descriptor instead.
func (*GetEntityTypeRequest) GetName
func (x *GetEntityTypeRequest) GetName() string
func (*GetEntityTypeRequest) ProtoMessage
func (*GetEntityTypeRequest) ProtoMessage()
func (*GetEntityTypeRequest) ProtoReflect
func (x *GetEntityTypeRequest) ProtoReflect() protoreflect.Message
func (*GetEntityTypeRequest) Reset
func (x *GetEntityTypeRequest) Reset()
func (*GetEntityTypeRequest) String
func (x *GetEntityTypeRequest) String() string
GetExecutionRequest
type GetExecutionRequest struct {
// Required. The resource name of the Execution to retrieve.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
func (*GetExecutionRequest) Descriptor
func (*GetExecutionRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetExecutionRequest.ProtoReflect.Descriptor instead.
func (*GetExecutionRequest) GetName
func (x *GetExecutionRequest) GetName() string
func (*GetExecutionRequest) ProtoMessage
func (*GetExecutionRequest) ProtoMessage()
func (*GetExecutionRequest) ProtoReflect
func (x *GetExecutionRequest) ProtoReflect() protoreflect.Message
func (*GetExecutionRequest) Reset
func (x *GetExecutionRequest) Reset()
func (*GetExecutionRequest) String
func (x *GetExecutionRequest) String() string
GetFeatureRequest
type GetFeatureRequest struct {
// Required. The name of the Feature resource.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
func (*GetFeatureRequest) Descriptor
func (*GetFeatureRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetFeatureRequest.ProtoReflect.Descriptor instead.
func (*GetFeatureRequest) GetName
func (x *GetFeatureRequest) GetName() string
func (*GetFeatureRequest) ProtoMessage
func (*GetFeatureRequest) ProtoMessage()
func (*GetFeatureRequest) ProtoReflect
func (x *GetFeatureRequest) ProtoReflect() protoreflect.Message
func (*GetFeatureRequest) Reset
func (x *GetFeatureRequest) Reset()
func (*GetFeatureRequest) String
func (x *GetFeatureRequest) String() string
GetFeaturestoreRequest
type GetFeaturestoreRequest struct {
// Required. The name of the Featurestore resource.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
func (*GetFeaturestoreRequest) Descriptor
func (*GetFeaturestoreRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetFeaturestoreRequest.ProtoReflect.Descriptor instead.
func (*GetFeaturestoreRequest) GetName
func (x *GetFeaturestoreRequest) GetName() string
func (*GetFeaturestoreRequest) ProtoMessage
func (*GetFeaturestoreRequest) ProtoMessage()
func (*GetFeaturestoreRequest) ProtoReflect
func (x *GetFeaturestoreRequest) ProtoReflect() protoreflect.Message
func (*GetFeaturestoreRequest) Reset
func (x *GetFeaturestoreRequest) Reset()
func (*GetFeaturestoreRequest) String
func (x *GetFeaturestoreRequest) String() string
GetHyperparameterTuningJobRequest
type GetHyperparameterTuningJobRequest struct {
// Required. The name of the HyperparameterTuningJob resource.
// Format:
// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
func (*GetHyperparameterTuningJobRequest) Descriptor
func (*GetHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.
func (*GetHyperparameterTuningJobRequest) GetName
func (x *GetHyperparameterTuningJobRequest) GetName() string
func (*GetHyperparameterTuningJobRequest) ProtoMessage
func (*GetHyperparameterTuningJobRequest) ProtoMessage()
func (*GetHyperparameterTuningJobRequest) ProtoReflect
func (x *GetHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message
func (*GetHyperparameterTuningJobRequest) Reset
func (x *GetHyperparameterTuningJobRequest) Reset()
func (*GetHyperparameterTuningJobRequest) String
func (x *GetHyperparameterTuningJobRequest) String() string
GetIndexEndpointRequest
type GetIndexEndpointRequest struct {
// Required. The name of the IndexEndpoint resource.
// Format:
// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
func (*GetIndexEndpointRequest) Descriptor
func (*GetIndexEndpointRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetIndexEndpointRequest.ProtoReflect.Descriptor instead.
func (*GetIndexEndpointRequest) GetName
func (x *GetIndexEndpointRequest) GetName() string
func (*GetIndexEndpointRequest) ProtoMessage
func (*GetIndexEndpointRequest) ProtoMessage()
func (*GetIndexEndpointRequest) ProtoReflect
func (x *GetIndexEndpointRequest) ProtoReflect() protoreflect.Message
func (*GetIndexEndpointRequest) Reset
func (x *GetIndexEndpointRequest) Reset()
func (*GetIndexEndpointRequest) String
func (x *GetIndexEndpointRequest) String() string
GetIndexRequest
type GetIndexRequest struct {
// Required. The name of the Index resource.
// Format:
// `projects/{project}/locations/{location}/indexes/{index}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
func (*GetIndexRequest) Descriptor
func (*GetIndexRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetIndexRequest.ProtoReflect.Descriptor instead.
func (*GetIndexRequest) GetName
func (x *GetIndexRequest) GetName() string
func (*GetIndexRequest) ProtoMessage
func (*GetIndexRequest) ProtoMessage()
func (*GetIndexRequest) ProtoReflect
func (x *GetIndexRequest) ProtoReflect() protoreflect.Message
func (*GetIndexRequest) Reset
func (x *GetIndexRequest) Reset()
func (*GetIndexRequest) String
func (x *GetIndexRequest) String() string
GetMetadataSchemaRequest
type GetMetadataSchemaRequest struct {
// Required. The resource name of the MetadataSchema to retrieve.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
func (*GetMetadataSchemaRequest) Descriptor
func (*GetMetadataSchemaRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetMetadataSchemaRequest.ProtoReflect.Descriptor instead.
func (*GetMetadataSchemaRequest) GetName
func (x *GetMetadataSchemaRequest) GetName() string
func (*GetMetadataSchemaRequest) ProtoMessage
func (*GetMetadataSchemaRequest) ProtoMessage()
func (*GetMetadataSchemaRequest) ProtoReflect
func (x *GetMetadataSchemaRequest) ProtoReflect() protoreflect.Message
func (*GetMetadataSchemaRequest) Reset
func (x *GetMetadataSchemaRequest) Reset()
func (*GetMetadataSchemaRequest) String
func (x *GetMetadataSchemaRequest) String() string
GetMetadataStoreRequest
type GetMetadataStoreRequest struct {
// Required. The resource name of the MetadataStore to retrieve.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
func (*GetMetadataStoreRequest) Descriptor
func (*GetMetadataStoreRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetMetadataStoreRequest.ProtoReflect.Descriptor instead.
func (*GetMetadataStoreRequest) GetName
func (x *GetMetadataStoreRequest) GetName() string
func (*GetMetadataStoreRequest) ProtoMessage
func (*GetMetadataStoreRequest) ProtoMessage()
func (*GetMetadataStoreRequest) ProtoReflect
func (x *GetMetadataStoreRequest) ProtoReflect() protoreflect.Message
func (*GetMetadataStoreRequest) Reset
func (x *GetMetadataStoreRequest) Reset()
func (*GetMetadataStoreRequest) String
func (x *GetMetadataStoreRequest) String() string
GetModelDeploymentMonitoringJobRequest
type GetModelDeploymentMonitoringJobRequest struct {
// Required. The resource name of the ModelDeploymentMonitoringJob.
// Format:
// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob].
func (*GetModelDeploymentMonitoringJobRequest) Descriptor
func (*GetModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*GetModelDeploymentMonitoringJobRequest) GetName
func (x *GetModelDeploymentMonitoringJobRequest) GetName() string
func (*GetModelDeploymentMonitoringJobRequest) ProtoMessage
func (*GetModelDeploymentMonitoringJobRequest) ProtoMessage()
func (*GetModelDeploymentMonitoringJobRequest) ProtoReflect
func (x *GetModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message
func (*GetModelDeploymentMonitoringJobRequest) Reset
func (x *GetModelDeploymentMonitoringJobRequest) Reset()
func (*GetModelDeploymentMonitoringJobRequest) String
func (x *GetModelDeploymentMonitoringJobRequest) String() string
GetModelEvaluationRequest
type GetModelEvaluationRequest struct {
// Required. The name of the ModelEvaluation resource.
// Format:
// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
func (*GetModelEvaluationRequest) Descriptor
func (*GetModelEvaluationRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetModelEvaluationRequest.ProtoReflect.Descriptor instead.
func (*GetModelEvaluationRequest) GetName
func (x *GetModelEvaluationRequest) GetName() string
func (*GetModelEvaluationRequest) ProtoMessage
func (*GetModelEvaluationRequest) ProtoMessage()
func (*GetModelEvaluationRequest) ProtoReflect
func (x *GetModelEvaluationRequest) ProtoReflect() protoreflect.Message
func (*GetModelEvaluationRequest) Reset
func (x *GetModelEvaluationRequest) Reset()
func (*GetModelEvaluationRequest) String
func (x *GetModelEvaluationRequest) String() string
GetModelEvaluationSliceRequest
type GetModelEvaluationSliceRequest struct {
// Required. The name of the ModelEvaluationSlice resource.
// Format:
// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
func (*GetModelEvaluationSliceRequest) Descriptor
func (*GetModelEvaluationSliceRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetModelEvaluationSliceRequest.ProtoReflect.Descriptor instead.
func (*GetModelEvaluationSliceRequest) GetName
func (x *GetModelEvaluationSliceRequest) GetName() string
func (*GetModelEvaluationSliceRequest) ProtoMessage
func (*GetModelEvaluationSliceRequest) ProtoMessage()
func (*GetModelEvaluationSliceRequest) ProtoReflect
func (x *GetModelEvaluationSliceRequest) ProtoReflect() protoreflect.Message
func (*GetModelEvaluationSliceRequest) Reset
func (x *GetModelEvaluationSliceRequest) Reset()
func (*GetModelEvaluationSliceRequest) String
func (x *GetModelEvaluationSliceRequest) String() string
GetModelRequest
type GetModelRequest struct {
// Required. The name of the Model resource.
// Format: `projects/{project}/locations/{location}/models/{model}`
//
// In order to retrieve a specific version of the model, also provide
// the version ID or version alias.
// Example: `projects/{project}/locations/{location}/models/{model}@2`
// or
// `projects/{project}/locations/{location}/models/{model}@golden`
// If no version ID or alias is specified, the "default" version will be
// returned. The "default" version alias is created for the first version of
// the model, and can be moved to other versions later on. There will be
// exactly one default version.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
func (*GetModelRequest) Descriptor
func (*GetModelRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetModelRequest.ProtoReflect.Descriptor instead.
func (*GetModelRequest) GetName
func (x *GetModelRequest) GetName() string
func (*GetModelRequest) ProtoMessage
func (*GetModelRequest) ProtoMessage()
func (*GetModelRequest) ProtoReflect
func (x *GetModelRequest) ProtoReflect() protoreflect.Message
func (*GetModelRequest) Reset
func (x *GetModelRequest) Reset()
func (*GetModelRequest) String
func (x *GetModelRequest) String() string
GetNasJobRequest
type GetNasJobRequest struct {
// Required. The name of the NasJob resource.
// Format:
// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob].
func (*GetNasJobRequest) Descriptor
func (*GetNasJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetNasJobRequest.ProtoReflect.Descriptor instead.
func (*GetNasJobRequest) GetName
func (x *GetNasJobRequest) GetName() string
func (*GetNasJobRequest) ProtoMessage
func (*GetNasJobRequest) ProtoMessage()
func (*GetNasJobRequest) ProtoReflect
func (x *GetNasJobRequest) ProtoReflect() protoreflect.Message
func (*GetNasJobRequest) Reset
func (x *GetNasJobRequest) Reset()
func (*GetNasJobRequest) String
func (x *GetNasJobRequest) String() string
GetNasTrialDetailRequest
type GetNasTrialDetailRequest struct {
// Required. The name of the NasTrialDetail resource.
// Format:
// `projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.GetNasTrialDetail][google.cloud.aiplatform.v1.JobService.GetNasTrialDetail].
func (*GetNasTrialDetailRequest) Descriptor
func (*GetNasTrialDetailRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetNasTrialDetailRequest.ProtoReflect.Descriptor instead.
func (*GetNasTrialDetailRequest) GetName
func (x *GetNasTrialDetailRequest) GetName() string
func (*GetNasTrialDetailRequest) ProtoMessage
func (*GetNasTrialDetailRequest) ProtoMessage()
func (*GetNasTrialDetailRequest) ProtoReflect
func (x *GetNasTrialDetailRequest) ProtoReflect() protoreflect.Message
func (*GetNasTrialDetailRequest) Reset
func (x *GetNasTrialDetailRequest) Reset()
func (*GetNasTrialDetailRequest) String
func (x *GetNasTrialDetailRequest) String() string
GetPipelineJobRequest
type GetPipelineJobRequest struct {
// Required. The name of the PipelineJob resource.
// Format:
// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
func (*GetPipelineJobRequest) Descriptor
func (*GetPipelineJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetPipelineJobRequest.ProtoReflect.Descriptor instead.
func (*GetPipelineJobRequest) GetName
func (x *GetPipelineJobRequest) GetName() string
func (*GetPipelineJobRequest) ProtoMessage
func (*GetPipelineJobRequest) ProtoMessage()
func (*GetPipelineJobRequest) ProtoReflect
func (x *GetPipelineJobRequest) ProtoReflect() protoreflect.Message
func (*GetPipelineJobRequest) Reset
func (x *GetPipelineJobRequest) Reset()
func (*GetPipelineJobRequest) String
func (x *GetPipelineJobRequest) String() string
GetSpecialistPoolRequest
type GetSpecialistPoolRequest struct {
// Required. The name of the SpecialistPool resource.
// The form is
// `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
func (*GetSpecialistPoolRequest) Descriptor
func (*GetSpecialistPoolRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetSpecialistPoolRequest.ProtoReflect.Descriptor instead.
func (*GetSpecialistPoolRequest) GetName
func (x *GetSpecialistPoolRequest) GetName() string
func (*GetSpecialistPoolRequest) ProtoMessage
func (*GetSpecialistPoolRequest) ProtoMessage()
func (*GetSpecialistPoolRequest) ProtoReflect
func (x *GetSpecialistPoolRequest) ProtoReflect() protoreflect.Message
func (*GetSpecialistPoolRequest) Reset
func (x *GetSpecialistPoolRequest) Reset()
func (*GetSpecialistPoolRequest) String
func (x *GetSpecialistPoolRequest) String() string
GetStudyRequest
type GetStudyRequest struct {
// Required. The name of the Study resource.
// Format: `projects/{project}/locations/{location}/studies/{study}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
func (*GetStudyRequest) Descriptor
func (*GetStudyRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetStudyRequest.ProtoReflect.Descriptor instead.
func (*GetStudyRequest) GetName
func (x *GetStudyRequest) GetName() string
func (*GetStudyRequest) ProtoMessage
func (*GetStudyRequest) ProtoMessage()
func (*GetStudyRequest) ProtoReflect
func (x *GetStudyRequest) ProtoReflect() protoreflect.Message
func (*GetStudyRequest) Reset
func (x *GetStudyRequest) Reset()
func (*GetStudyRequest) String
func (x *GetStudyRequest) String() string
GetTensorboardExperimentRequest
type GetTensorboardExperimentRequest struct {
// Required. The name of the TensorboardExperiment resource.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
func (*GetTensorboardExperimentRequest) Descriptor
func (*GetTensorboardExperimentRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetTensorboardExperimentRequest.ProtoReflect.Descriptor instead.
func (*GetTensorboardExperimentRequest) GetName
func (x *GetTensorboardExperimentRequest) GetName() string
func (*GetTensorboardExperimentRequest) ProtoMessage
func (*GetTensorboardExperimentRequest) ProtoMessage()
func (*GetTensorboardExperimentRequest) ProtoReflect
func (x *GetTensorboardExperimentRequest) ProtoReflect() protoreflect.Message
func (*GetTensorboardExperimentRequest) Reset
func (x *GetTensorboardExperimentRequest) Reset()
func (*GetTensorboardExperimentRequest) String
func (x *GetTensorboardExperimentRequest) String() string
GetTensorboardRequest
type GetTensorboardRequest struct {
// Required. The name of the Tensorboard resource.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
func (*GetTensorboardRequest) Descriptor
func (*GetTensorboardRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetTensorboardRequest.ProtoReflect.Descriptor instead.
func (*GetTensorboardRequest) GetName
func (x *GetTensorboardRequest) GetName() string
func (*GetTensorboardRequest) ProtoMessage
func (*GetTensorboardRequest) ProtoMessage()
func (*GetTensorboardRequest) ProtoReflect
func (x *GetTensorboardRequest) ProtoReflect() protoreflect.Message
func (*GetTensorboardRequest) Reset
func (x *GetTensorboardRequest) Reset()
func (*GetTensorboardRequest) String
func (x *GetTensorboardRequest) String() string
GetTensorboardRunRequest
type GetTensorboardRunRequest struct {
// Required. The name of the TensorboardRun resource.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
func (*GetTensorboardRunRequest) Descriptor
func (*GetTensorboardRunRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetTensorboardRunRequest.ProtoReflect.Descriptor instead.
func (*GetTensorboardRunRequest) GetName
func (x *GetTensorboardRunRequest) GetName() string
func (*GetTensorboardRunRequest) ProtoMessage
func (*GetTensorboardRunRequest) ProtoMessage()
func (*GetTensorboardRunRequest) ProtoReflect
func (x *GetTensorboardRunRequest) ProtoReflect() protoreflect.Message
func (*GetTensorboardRunRequest) Reset
func (x *GetTensorboardRunRequest) Reset()
func (*GetTensorboardRunRequest) String
func (x *GetTensorboardRunRequest) String() string
GetTensorboardTimeSeriesRequest
type GetTensorboardTimeSeriesRequest struct {
// Required. The name of the TensorboardTimeSeries resource.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
func (*GetTensorboardTimeSeriesRequest) Descriptor
func (*GetTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
func (*GetTensorboardTimeSeriesRequest) GetName
func (x *GetTensorboardTimeSeriesRequest) GetName() string
func (*GetTensorboardTimeSeriesRequest) ProtoMessage
func (*GetTensorboardTimeSeriesRequest) ProtoMessage()
func (*GetTensorboardTimeSeriesRequest) ProtoReflect
func (x *GetTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message
func (*GetTensorboardTimeSeriesRequest) Reset
func (x *GetTensorboardTimeSeriesRequest) Reset()
func (*GetTensorboardTimeSeriesRequest) String
func (x *GetTensorboardTimeSeriesRequest) String() string
GetTrainingPipelineRequest
type GetTrainingPipelineRequest struct {
// Required. The name of the TrainingPipeline resource.
// Format:
// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
func (*GetTrainingPipelineRequest) Descriptor
func (*GetTrainingPipelineRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetTrainingPipelineRequest.ProtoReflect.Descriptor instead.
func (*GetTrainingPipelineRequest) GetName
func (x *GetTrainingPipelineRequest) GetName() string
func (*GetTrainingPipelineRequest) ProtoMessage
func (*GetTrainingPipelineRequest) ProtoMessage()
func (*GetTrainingPipelineRequest) ProtoReflect
func (x *GetTrainingPipelineRequest) ProtoReflect() protoreflect.Message
func (*GetTrainingPipelineRequest) Reset
func (x *GetTrainingPipelineRequest) Reset()
func (*GetTrainingPipelineRequest) String
func (x *GetTrainingPipelineRequest) String() string
GetTrialRequest
type GetTrialRequest struct {
// Required. The name of the Trial resource.
// Format:
// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
func (*GetTrialRequest) Descriptor
func (*GetTrialRequest) Descriptor() ([]byte, []int)
Deprecated: Use GetTrialRequest.ProtoReflect.Descriptor instead.
func (*GetTrialRequest) GetName
func (x *GetTrialRequest) GetName() string
func (*GetTrialRequest) ProtoMessage
func (*GetTrialRequest) ProtoMessage()
func (*GetTrialRequest) ProtoReflect
func (x *GetTrialRequest) ProtoReflect() protoreflect.Message
func (*GetTrialRequest) Reset
func (x *GetTrialRequest) Reset()
func (*GetTrialRequest) String
func (x *GetTrialRequest) String() string
HyperparameterTuningJob
type HyperparameterTuningJob struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
StudySpec *StudySpec `protobuf:"bytes,4,opt,name=study_spec,json=studySpec,proto3" json:"study_spec,omitempty"`
MaxTrialCount int32 `protobuf:"varint,5,opt,name=max_trial_count,json=maxTrialCount,proto3" json:"max_trial_count,omitempty"`
ParallelTrialCount int32 `protobuf:"varint,6,opt,name=parallel_trial_count,json=parallelTrialCount,proto3" json:"parallel_trial_count,omitempty"`
MaxFailedTrialCount int32 `protobuf:"varint,7,opt,name=max_failed_trial_count,json=maxFailedTrialCount,proto3" json:"max_failed_trial_count,omitempty"`
TrialJobSpec *CustomJobSpec `protobuf:"bytes,8,opt,name=trial_job_spec,json=trialJobSpec,proto3" json:"trial_job_spec,omitempty"`
Trials []*Trial `protobuf:"bytes,9,rep,name=trials,proto3" json:"trials,omitempty"`
State JobState `protobuf:"varint,10,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
StartTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Error *status.Status `protobuf:"bytes,15,opt,name=error,proto3" json:"error,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
EncryptionSpec *EncryptionSpec `protobuf:"bytes,17,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
}
Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.
func (*HyperparameterTuningJob) Descriptor
func (*HyperparameterTuningJob) Descriptor() ([]byte, []int)
Deprecated: Use HyperparameterTuningJob.ProtoReflect.Descriptor instead.
func (*HyperparameterTuningJob) GetCreateTime
func (x *HyperparameterTuningJob) GetCreateTime() *timestamppb.Timestamp
func (*HyperparameterTuningJob) GetDisplayName
func (x *HyperparameterTuningJob) GetDisplayName() string
func (*HyperparameterTuningJob) GetEncryptionSpec
func (x *HyperparameterTuningJob) GetEncryptionSpec() *EncryptionSpec
func (*HyperparameterTuningJob) GetEndTime
func (x *HyperparameterTuningJob) GetEndTime() *timestamppb.Timestamp
func (*HyperparameterTuningJob) GetError
func (x *HyperparameterTuningJob) GetError() *status.Status
func (*HyperparameterTuningJob) GetLabels
func (x *HyperparameterTuningJob) GetLabels() map[string]string
func (*HyperparameterTuningJob) GetMaxFailedTrialCount
func (x *HyperparameterTuningJob) GetMaxFailedTrialCount() int32
func (*HyperparameterTuningJob) GetMaxTrialCount
func (x *HyperparameterTuningJob) GetMaxTrialCount() int32
func (*HyperparameterTuningJob) GetName
func (x *HyperparameterTuningJob) GetName() string
func (*HyperparameterTuningJob) GetParallelTrialCount
func (x *HyperparameterTuningJob) GetParallelTrialCount() int32
func (*HyperparameterTuningJob) GetStartTime
func (x *HyperparameterTuningJob) GetStartTime() *timestamppb.Timestamp
func (*HyperparameterTuningJob) GetState
func (x *HyperparameterTuningJob) GetState() JobState
func (*HyperparameterTuningJob) GetStudySpec
func (x *HyperparameterTuningJob) GetStudySpec() *StudySpec
func (*HyperparameterTuningJob) GetTrialJobSpec
func (x *HyperparameterTuningJob) GetTrialJobSpec() *CustomJobSpec
func (*HyperparameterTuningJob) GetTrials
func (x *HyperparameterTuningJob) GetTrials() []*Trial
func (*HyperparameterTuningJob) GetUpdateTime
func (x *HyperparameterTuningJob) GetUpdateTime() *timestamppb.Timestamp
func (*HyperparameterTuningJob) ProtoMessage
func (*HyperparameterTuningJob) ProtoMessage()
func (*HyperparameterTuningJob) ProtoReflect
func (x *HyperparameterTuningJob) ProtoReflect() protoreflect.Message
func (*HyperparameterTuningJob) Reset
func (x *HyperparameterTuningJob) Reset()
func (*HyperparameterTuningJob) String
func (x *HyperparameterTuningJob) String() string
IdMatcher
type IdMatcher struct {
// Required. The following are accepted as `ids`:
//
// * A single-element list containing only `*`, which selects all Features
// in the target EntityType, or
// * A list containing only Feature IDs, which selects only Features with
// those IDs in the target EntityType.
Ids []string `protobuf:"bytes,1,rep,name=ids,proto3" json:"ids,omitempty"`
// contains filtered or unexported fields
}
Matcher for Features of an EntityType by Feature ID.
func (*IdMatcher) Descriptor
Deprecated: Use IdMatcher.ProtoReflect.Descriptor instead.
func (*IdMatcher) GetIds
func (*IdMatcher) ProtoMessage
func (*IdMatcher) ProtoMessage()
func (*IdMatcher) ProtoReflect
func (x *IdMatcher) ProtoReflect() protoreflect.Message
func (*IdMatcher) Reset
func (x *IdMatcher) Reset()
func (*IdMatcher) String
ImportDataConfig
type ImportDataConfig struct {
Source isImportDataConfig_Source `protobuf_oneof:"source"`
DataItemLabels map[string]string "" /* 193 byte string literal not displayed */
AnnotationLabels map[string]string "" /* 197 byte string literal not displayed */
ImportSchemaUri string `protobuf:"bytes,4,opt,name=import_schema_uri,json=importSchemaUri,proto3" json:"import_schema_uri,omitempty"`
}
Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.
func (*ImportDataConfig) Descriptor
func (*ImportDataConfig) Descriptor() ([]byte, []int)
Deprecated: Use ImportDataConfig.ProtoReflect.Descriptor instead.
func (*ImportDataConfig) GetAnnotationLabels
func (x *ImportDataConfig) GetAnnotationLabels() map[string]string
func (*ImportDataConfig) GetDataItemLabels
func (x *ImportDataConfig) GetDataItemLabels() map[string]string
func (*ImportDataConfig) GetGcsSource
func (x *ImportDataConfig) GetGcsSource() *GcsSource
func (*ImportDataConfig) GetImportSchemaUri
func (x *ImportDataConfig) GetImportSchemaUri() string
func (*ImportDataConfig) GetSource
func (m *ImportDataConfig) GetSource() isImportDataConfig_Source
func (*ImportDataConfig) ProtoMessage
func (*ImportDataConfig) ProtoMessage()
func (*ImportDataConfig) ProtoReflect
func (x *ImportDataConfig) ProtoReflect() protoreflect.Message
func (*ImportDataConfig) Reset
func (x *ImportDataConfig) Reset()
func (*ImportDataConfig) String
func (x *ImportDataConfig) String() string
ImportDataConfig_GcsSource
type ImportDataConfig_GcsSource struct {
// The Google Cloud Storage location for the input content.
GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}
ImportDataOperationMetadata
type ImportDataOperationMetadata struct {
// The common part of the operation metadata.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
func (*ImportDataOperationMetadata) Descriptor
func (*ImportDataOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use ImportDataOperationMetadata.ProtoReflect.Descriptor instead.
func (*ImportDataOperationMetadata) GetGenericMetadata
func (x *ImportDataOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*ImportDataOperationMetadata) ProtoMessage
func (*ImportDataOperationMetadata) ProtoMessage()
func (*ImportDataOperationMetadata) ProtoReflect
func (x *ImportDataOperationMetadata) ProtoReflect() protoreflect.Message
func (*ImportDataOperationMetadata) Reset
func (x *ImportDataOperationMetadata) Reset()
func (*ImportDataOperationMetadata) String
func (x *ImportDataOperationMetadata) String() string
ImportDataRequest
type ImportDataRequest struct {
// Required. The name of the Dataset resource.
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. The desired input locations. The contents of all input locations
// will be imported in one batch.
ImportConfigs []*ImportDataConfig `protobuf:"bytes,2,rep,name=import_configs,json=importConfigs,proto3" json:"import_configs,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
func (*ImportDataRequest) Descriptor
func (*ImportDataRequest) Descriptor() ([]byte, []int)
Deprecated: Use ImportDataRequest.ProtoReflect.Descriptor instead.
func (*ImportDataRequest) GetImportConfigs
func (x *ImportDataRequest) GetImportConfigs() []*ImportDataConfig
func (*ImportDataRequest) GetName
func (x *ImportDataRequest) GetName() string
func (*ImportDataRequest) ProtoMessage
func (*ImportDataRequest) ProtoMessage()
func (*ImportDataRequest) ProtoReflect
func (x *ImportDataRequest) ProtoReflect() protoreflect.Message
func (*ImportDataRequest) Reset
func (x *ImportDataRequest) Reset()
func (*ImportDataRequest) String
func (x *ImportDataRequest) String() string
ImportDataResponse
type ImportDataResponse struct {
// contains filtered or unexported fields
}
Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
func (*ImportDataResponse) Descriptor
func (*ImportDataResponse) Descriptor() ([]byte, []int)
Deprecated: Use ImportDataResponse.ProtoReflect.Descriptor instead.
func (*ImportDataResponse) ProtoMessage
func (*ImportDataResponse) ProtoMessage()
func (*ImportDataResponse) ProtoReflect
func (x *ImportDataResponse) ProtoReflect() protoreflect.Message
func (*ImportDataResponse) Reset
func (x *ImportDataResponse) Reset()
func (*ImportDataResponse) String
func (x *ImportDataResponse) String() string
ImportFeatureValuesOperationMetadata
type ImportFeatureValuesOperationMetadata struct {
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
ImportedEntityCount int64 `protobuf:"varint,2,opt,name=imported_entity_count,json=importedEntityCount,proto3" json:"imported_entity_count,omitempty"`
ImportedFeatureValueCount int64 "" /* 141 byte string literal not displayed */
SourceUris []string `protobuf:"bytes,4,rep,name=source_uris,json=sourceUris,proto3" json:"source_uris,omitempty"`
InvalidRowCount int64 `protobuf:"varint,6,opt,name=invalid_row_count,json=invalidRowCount,proto3" json:"invalid_row_count,omitempty"`
TimestampOutsideRetentionRowsCount int64 "" /* 170 byte string literal not displayed */
}
Details of operations that perform import Feature values.
func (*ImportFeatureValuesOperationMetadata) Descriptor
func (*ImportFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use ImportFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.
func (*ImportFeatureValuesOperationMetadata) GetGenericMetadata
func (x *ImportFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*ImportFeatureValuesOperationMetadata) GetImportedEntityCount
func (x *ImportFeatureValuesOperationMetadata) GetImportedEntityCount() int64
func (*ImportFeatureValuesOperationMetadata) GetImportedFeatureValueCount
func (x *ImportFeatureValuesOperationMetadata) GetImportedFeatureValueCount() int64
func (*ImportFeatureValuesOperationMetadata) GetInvalidRowCount
func (x *ImportFeatureValuesOperationMetadata) GetInvalidRowCount() int64
func (*ImportFeatureValuesOperationMetadata) GetSourceUris
func (x *ImportFeatureValuesOperationMetadata) GetSourceUris() []string
func (*ImportFeatureValuesOperationMetadata) GetTimestampOutsideRetentionRowsCount
func (x *ImportFeatureValuesOperationMetadata) GetTimestampOutsideRetentionRowsCount() int64
func (*ImportFeatureValuesOperationMetadata) ProtoMessage
func (*ImportFeatureValuesOperationMetadata) ProtoMessage()
func (*ImportFeatureValuesOperationMetadata) ProtoReflect
func (x *ImportFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message
func (*ImportFeatureValuesOperationMetadata) Reset
func (x *ImportFeatureValuesOperationMetadata) Reset()
func (*ImportFeatureValuesOperationMetadata) String
func (x *ImportFeatureValuesOperationMetadata) String() string
ImportFeatureValuesRequest
type ImportFeatureValuesRequest struct {
Source isImportFeatureValuesRequest_Source `protobuf_oneof:"source"`
FeatureTimeSource isImportFeatureValuesRequest_FeatureTimeSource `protobuf_oneof:"feature_time_source"`
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
EntityIdField string `protobuf:"bytes,5,opt,name=entity_id_field,json=entityIdField,proto3" json:"entity_id_field,omitempty"`
FeatureSpecs []*ImportFeatureValuesRequest_FeatureSpec `protobuf:"bytes,8,rep,name=feature_specs,json=featureSpecs,proto3" json:"feature_specs,omitempty"`
DisableOnlineServing bool `protobuf:"varint,9,opt,name=disable_online_serving,json=disableOnlineServing,proto3" json:"disable_online_serving,omitempty"`
WorkerCount int32 `protobuf:"varint,11,opt,name=worker_count,json=workerCount,proto3" json:"worker_count,omitempty"`
DisableIngestionAnalysis bool "" /* 137 byte string literal not displayed */
}
Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
func (*ImportFeatureValuesRequest) Descriptor
func (*ImportFeatureValuesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ImportFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*ImportFeatureValuesRequest) GetAvroSource
func (x *ImportFeatureValuesRequest) GetAvroSource() *AvroSource
func (*ImportFeatureValuesRequest) GetBigquerySource
func (x *ImportFeatureValuesRequest) GetBigquerySource() *BigQuerySource
func (*ImportFeatureValuesRequest) GetCsvSource
func (x *ImportFeatureValuesRequest) GetCsvSource() *CsvSource
func (*ImportFeatureValuesRequest) GetDisableIngestionAnalysis
func (x *ImportFeatureValuesRequest) GetDisableIngestionAnalysis() bool
func (*ImportFeatureValuesRequest) GetDisableOnlineServing
func (x *ImportFeatureValuesRequest) GetDisableOnlineServing() bool
func (*ImportFeatureValuesRequest) GetEntityIdField
func (x *ImportFeatureValuesRequest) GetEntityIdField() string
func (*ImportFeatureValuesRequest) GetEntityType
func (x *ImportFeatureValuesRequest) GetEntityType() string
func (*ImportFeatureValuesRequest) GetFeatureSpecs
func (x *ImportFeatureValuesRequest) GetFeatureSpecs() []*ImportFeatureValuesRequest_FeatureSpec
func (*ImportFeatureValuesRequest) GetFeatureTime
func (x *ImportFeatureValuesRequest) GetFeatureTime() *timestamppb.Timestamp
func (*ImportFeatureValuesRequest) GetFeatureTimeField
func (x *ImportFeatureValuesRequest) GetFeatureTimeField() string
func (*ImportFeatureValuesRequest) GetFeatureTimeSource
func (m *ImportFeatureValuesRequest) GetFeatureTimeSource() isImportFeatureValuesRequest_FeatureTimeSource
func (*ImportFeatureValuesRequest) GetSource
func (m *ImportFeatureValuesRequest) GetSource() isImportFeatureValuesRequest_Source
func (*ImportFeatureValuesRequest) GetWorkerCount
func (x *ImportFeatureValuesRequest) GetWorkerCount() int32
func (*ImportFeatureValuesRequest) ProtoMessage
func (*ImportFeatureValuesRequest) ProtoMessage()
func (*ImportFeatureValuesRequest) ProtoReflect
func (x *ImportFeatureValuesRequest) ProtoReflect() protoreflect.Message
func (*ImportFeatureValuesRequest) Reset
func (x *ImportFeatureValuesRequest) Reset()
func (*ImportFeatureValuesRequest) String
func (x *ImportFeatureValuesRequest) String() string
ImportFeatureValuesRequest_AvroSource
type ImportFeatureValuesRequest_AvroSource struct {
AvroSource *AvroSource `protobuf:"bytes,2,opt,name=avro_source,json=avroSource,proto3,oneof"`
}
ImportFeatureValuesRequest_BigquerySource
type ImportFeatureValuesRequest_BigquerySource struct {
BigquerySource *BigQuerySource `protobuf:"bytes,3,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}
ImportFeatureValuesRequest_CsvSource
type ImportFeatureValuesRequest_CsvSource struct {
CsvSource *CsvSource `protobuf:"bytes,4,opt,name=csv_source,json=csvSource,proto3,oneof"`
}
ImportFeatureValuesRequest_FeatureSpec
type ImportFeatureValuesRequest_FeatureSpec struct {
// Required. ID of the Feature to import values of. This Feature must exist
// in the target EntityType, or the request will fail.
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
// Source column to get the Feature values from. If not set, uses the column
// with the same name as the Feature ID.
SourceField string `protobuf:"bytes,2,opt,name=source_field,json=sourceField,proto3" json:"source_field,omitempty"`
// contains filtered or unexported fields
}
Defines the Feature value(s) to import.
func (*ImportFeatureValuesRequest_FeatureSpec) Descriptor
func (*ImportFeatureValuesRequest_FeatureSpec) Descriptor() ([]byte, []int)
Deprecated: Use ImportFeatureValuesRequest_FeatureSpec.ProtoReflect.Descriptor instead.
func (*ImportFeatureValuesRequest_FeatureSpec) GetId
func (x *ImportFeatureValuesRequest_FeatureSpec) GetId() string
func (*ImportFeatureValuesRequest_FeatureSpec) GetSourceField
func (x *ImportFeatureValuesRequest_FeatureSpec) GetSourceField() string
func (*ImportFeatureValuesRequest_FeatureSpec) ProtoMessage
func (*ImportFeatureValuesRequest_FeatureSpec) ProtoMessage()
func (*ImportFeatureValuesRequest_FeatureSpec) ProtoReflect
func (x *ImportFeatureValuesRequest_FeatureSpec) ProtoReflect() protoreflect.Message
func (*ImportFeatureValuesRequest_FeatureSpec) Reset
func (x *ImportFeatureValuesRequest_FeatureSpec) Reset()
func (*ImportFeatureValuesRequest_FeatureSpec) String
func (x *ImportFeatureValuesRequest_FeatureSpec) String() string
ImportFeatureValuesRequest_FeatureTime
type ImportFeatureValuesRequest_FeatureTime struct {
// Single Feature timestamp for all entities being imported. The
// timestamp must not have higher than millisecond precision.
FeatureTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=feature_time,json=featureTime,proto3,oneof"`
}
ImportFeatureValuesRequest_FeatureTimeField
type ImportFeatureValuesRequest_FeatureTimeField struct {
// Source column that holds the Feature timestamp for all Feature
// values in each entity.
FeatureTimeField string `protobuf:"bytes,6,opt,name=feature_time_field,json=featureTimeField,proto3,oneof"`
}
ImportFeatureValuesResponse
type ImportFeatureValuesResponse struct {
ImportedEntityCount int64 `protobuf:"varint,1,opt,name=imported_entity_count,json=importedEntityCount,proto3" json:"imported_entity_count,omitempty"`
ImportedFeatureValueCount int64 "" /* 141 byte string literal not displayed */
InvalidRowCount int64 `protobuf:"varint,6,opt,name=invalid_row_count,json=invalidRowCount,proto3" json:"invalid_row_count,omitempty"`
TimestampOutsideRetentionRowsCount int64 "" /* 170 byte string literal not displayed */
}
Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
func (*ImportFeatureValuesResponse) Descriptor
func (*ImportFeatureValuesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ImportFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*ImportFeatureValuesResponse) GetImportedEntityCount
func (x *ImportFeatureValuesResponse) GetImportedEntityCount() int64
func (*ImportFeatureValuesResponse) GetImportedFeatureValueCount
func (x *ImportFeatureValuesResponse) GetImportedFeatureValueCount() int64
func (*ImportFeatureValuesResponse) GetInvalidRowCount
func (x *ImportFeatureValuesResponse) GetInvalidRowCount() int64
func (*ImportFeatureValuesResponse) GetTimestampOutsideRetentionRowsCount
func (x *ImportFeatureValuesResponse) GetTimestampOutsideRetentionRowsCount() int64
func (*ImportFeatureValuesResponse) ProtoMessage
func (*ImportFeatureValuesResponse) ProtoMessage()
func (*ImportFeatureValuesResponse) ProtoReflect
func (x *ImportFeatureValuesResponse) ProtoReflect() protoreflect.Message
func (*ImportFeatureValuesResponse) Reset
func (x *ImportFeatureValuesResponse) Reset()
func (*ImportFeatureValuesResponse) String
func (x *ImportFeatureValuesResponse) String() string
ImportModelEvaluationRequest
type ImportModelEvaluationRequest struct {
// Required. The name of the parent model resource.
// Format: `projects/{project}/locations/{location}/models/{model}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. Model evaluation resource to be imported.
ModelEvaluation *ModelEvaluation `protobuf:"bytes,2,opt,name=model_evaluation,json=modelEvaluation,proto3" json:"model_evaluation,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
func (*ImportModelEvaluationRequest) Descriptor
func (*ImportModelEvaluationRequest) Descriptor() ([]byte, []int)
Deprecated: Use ImportModelEvaluationRequest.ProtoReflect.Descriptor instead.
func (*ImportModelEvaluationRequest) GetModelEvaluation
func (x *ImportModelEvaluationRequest) GetModelEvaluation() *ModelEvaluation
func (*ImportModelEvaluationRequest) GetParent
func (x *ImportModelEvaluationRequest) GetParent() string
func (*ImportModelEvaluationRequest) ProtoMessage
func (*ImportModelEvaluationRequest) ProtoMessage()
func (*ImportModelEvaluationRequest) ProtoReflect
func (x *ImportModelEvaluationRequest) ProtoReflect() protoreflect.Message
func (*ImportModelEvaluationRequest) Reset
func (x *ImportModelEvaluationRequest) Reset()
func (*ImportModelEvaluationRequest) String
func (x *ImportModelEvaluationRequest) String() string
Index
type Index struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
MetadataSchemaUri string `protobuf:"bytes,4,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`
Metadata *structpb.Value `protobuf:"bytes,6,opt,name=metadata,proto3" json:"metadata,omitempty"`
DeployedIndexes []*DeployedIndexRef `protobuf:"bytes,7,rep,name=deployed_indexes,json=deployedIndexes,proto3" json:"deployed_indexes,omitempty"`
Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
IndexStats *IndexStats `protobuf:"bytes,14,opt,name=index_stats,json=indexStats,proto3" json:"index_stats,omitempty"`
IndexUpdateMethod Index_IndexUpdateMethod "" /* 172 byte string literal not displayed */
}
A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
func (*Index) Descriptor
Deprecated: Use Index.ProtoReflect.Descriptor instead.
func (*Index) GetCreateTime
func (x *Index) GetCreateTime() *timestamppb.Timestamp
func (*Index) GetDeployedIndexes
func (x *Index) GetDeployedIndexes() []*DeployedIndexRef
func (*Index) GetDescription
func (*Index) GetDisplayName
func (*Index) GetEtag
func (*Index) GetIndexStats
func (x *Index) GetIndexStats() *IndexStats
func (*Index) GetIndexUpdateMethod
func (x *Index) GetIndexUpdateMethod() Index_IndexUpdateMethod
func (*Index) GetLabels
func (*Index) GetMetadata
func (*Index) GetMetadataSchemaUri
func (*Index) GetName
func (*Index) GetUpdateTime
func (x *Index) GetUpdateTime() *timestamppb.Timestamp
func (*Index) ProtoMessage
func (*Index) ProtoMessage()
func (*Index) ProtoReflect
func (x *Index) ProtoReflect() protoreflect.Message
func (*Index) Reset
func (x *Index) Reset()
func (*Index) String
IndexDatapoint
type IndexDatapoint struct {
// Required. Unique identifier of the datapoint.
DatapointId string `protobuf:"bytes,1,opt,name=datapoint_id,json=datapointId,proto3" json:"datapoint_id,omitempty"`
// Required. Feature embedding vector. An array of numbers with the length of
// [NearestNeighborSearchConfig.dimensions].
FeatureVector []float32 `protobuf:"fixed32,2,rep,packed,name=feature_vector,json=featureVector,proto3" json:"feature_vector,omitempty"`
// Optional. List of Restrict of the datapoint, used to perform "restricted
// searches" where boolean rule are used to filter the subset of the database
// eligible for matching. See:
// https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
Restricts []*IndexDatapoint_Restriction `protobuf:"bytes,4,rep,name=restricts,proto3" json:"restricts,omitempty"`
// Optional. CrowdingTag of the datapoint, the number of neighbors to return
// in each crowding can be configured during query.
CrowdingTag *IndexDatapoint_CrowdingTag `protobuf:"bytes,5,opt,name=crowding_tag,json=crowdingTag,proto3" json:"crowding_tag,omitempty"`
// contains filtered or unexported fields
}
A datapoint of Index.
func (*IndexDatapoint) Descriptor
func (*IndexDatapoint) Descriptor() ([]byte, []int)
Deprecated: Use IndexDatapoint.ProtoReflect.Descriptor instead.
func (*IndexDatapoint) GetCrowdingTag
func (x *IndexDatapoint) GetCrowdingTag() *IndexDatapoint_CrowdingTag
func (*IndexDatapoint) GetDatapointId
func (x *IndexDatapoint) GetDatapointId() string
func (*IndexDatapoint) GetFeatureVector
func (x *IndexDatapoint) GetFeatureVector() []float32
func (*IndexDatapoint) GetRestricts
func (x *IndexDatapoint) GetRestricts() []*IndexDatapoint_Restriction
func (*IndexDatapoint) ProtoMessage
func (*IndexDatapoint) ProtoMessage()
func (*IndexDatapoint) ProtoReflect
func (x *IndexDatapoint) ProtoReflect() protoreflect.Message
func (*IndexDatapoint) Reset
func (x *IndexDatapoint) Reset()
func (*IndexDatapoint) String
func (x *IndexDatapoint) String() string
IndexDatapoint_CrowdingTag
type IndexDatapoint_CrowdingTag struct {
// The attribute value used for crowding. The maximum number of neighbors
// to return per crowding attribute value
// (per_crowding_attribute_num_neighbors) is configured per-query. This
// field is ignored if per_crowding_attribute_num_neighbors is larger than
// the total number of neighbors to return for a given query.
CrowdingAttribute string `protobuf:"bytes,1,opt,name=crowding_attribute,json=crowdingAttribute,proto3" json:"crowding_attribute,omitempty"`
// contains filtered or unexported fields
}
Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.
func (*IndexDatapoint_CrowdingTag) Descriptor
func (*IndexDatapoint_CrowdingTag) Descriptor() ([]byte, []int)
Deprecated: Use IndexDatapoint_CrowdingTag.ProtoReflect.Descriptor instead.
func (*IndexDatapoint_CrowdingTag) GetCrowdingAttribute
func (x *IndexDatapoint_CrowdingTag) GetCrowdingAttribute() string
func (*IndexDatapoint_CrowdingTag) ProtoMessage
func (*IndexDatapoint_CrowdingTag) ProtoMessage()
func (*IndexDatapoint_CrowdingTag) ProtoReflect
func (x *IndexDatapoint_CrowdingTag) ProtoReflect() protoreflect.Message
func (*IndexDatapoint_CrowdingTag) Reset
func (x *IndexDatapoint_CrowdingTag) Reset()
func (*IndexDatapoint_CrowdingTag) String
func (x *IndexDatapoint_CrowdingTag) String() string
IndexDatapoint_Restriction
type IndexDatapoint_Restriction struct {
// The namespace of this restriction. eg: color.
Namespace string `protobuf:"bytes,1,opt,name=namespace,proto3" json:"namespace,omitempty"`
// The attributes to allow in this namespace. eg: 'red'
AllowList []string `protobuf:"bytes,2,rep,name=allow_list,json=allowList,proto3" json:"allow_list,omitempty"`
// The attributes to deny in this namespace. eg: 'blue'
DenyList []string `protobuf:"bytes,3,rep,name=deny_list,json=denyList,proto3" json:"deny_list,omitempty"`
// contains filtered or unexported fields
}
Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).
func (*IndexDatapoint_Restriction) Descriptor
func (*IndexDatapoint_Restriction) Descriptor() ([]byte, []int)
Deprecated: Use IndexDatapoint_Restriction.ProtoReflect.Descriptor instead.
func (*IndexDatapoint_Restriction) GetAllowList
func (x *IndexDatapoint_Restriction) GetAllowList() []string
func (*IndexDatapoint_Restriction) GetDenyList
func (x *IndexDatapoint_Restriction) GetDenyList() []string
func (*IndexDatapoint_Restriction) GetNamespace
func (x *IndexDatapoint_Restriction) GetNamespace() string
func (*IndexDatapoint_Restriction) ProtoMessage
func (*IndexDatapoint_Restriction) ProtoMessage()
func (*IndexDatapoint_Restriction) ProtoReflect
func (x *IndexDatapoint_Restriction) ProtoReflect() protoreflect.Message
func (*IndexDatapoint_Restriction) Reset
func (x *IndexDatapoint_Restriction) Reset()
func (*IndexDatapoint_Restriction) String
func (x *IndexDatapoint_Restriction) String() string
IndexEndpoint
type IndexEndpoint struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
DeployedIndexes []*DeployedIndex `protobuf:"bytes,4,rep,name=deployed_indexes,json=deployedIndexes,proto3" json:"deployed_indexes,omitempty"`
Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Network string `protobuf:"bytes,9,opt,name=network,proto3" json:"network,omitempty"`
EnablePrivateServiceConnect bool "" /* 148 byte string literal not displayed */
PrivateServiceConnectConfig *PrivateServiceConnectConfig "" /* 147 byte string literal not displayed */
}
Indexes are deployed into it. An IndexEndpoint can have multiple DeployedIndexes.
func (*IndexEndpoint) Descriptor
func (*IndexEndpoint) Descriptor() ([]byte, []int)
Deprecated: Use IndexEndpoint.ProtoReflect.Descriptor instead.
func (*IndexEndpoint) GetCreateTime
func (x *IndexEndpoint) GetCreateTime() *timestamppb.Timestamp
func (*IndexEndpoint) GetDeployedIndexes
func (x *IndexEndpoint) GetDeployedIndexes() []*DeployedIndex
func (*IndexEndpoint) GetDescription
func (x *IndexEndpoint) GetDescription() string
func (*IndexEndpoint) GetDisplayName
func (x *IndexEndpoint) GetDisplayName() string
func (*IndexEndpoint) GetEnablePrivateServiceConnect
func (x *IndexEndpoint) GetEnablePrivateServiceConnect() bool
Deprecated: Do not use.
func (*IndexEndpoint) GetEtag
func (x *IndexEndpoint) GetEtag() string
func (*IndexEndpoint) GetLabels
func (x *IndexEndpoint) GetLabels() map[string]string
func (*IndexEndpoint) GetName
func (x *IndexEndpoint) GetName() string
func (*IndexEndpoint) GetNetwork
func (x *IndexEndpoint) GetNetwork() string
func (*IndexEndpoint) GetPrivateServiceConnectConfig
func (x *IndexEndpoint) GetPrivateServiceConnectConfig() *PrivateServiceConnectConfig
func (*IndexEndpoint) GetUpdateTime
func (x *IndexEndpoint) GetUpdateTime() *timestamppb.Timestamp
func (*IndexEndpoint) ProtoMessage
func (*IndexEndpoint) ProtoMessage()
func (*IndexEndpoint) ProtoReflect
func (x *IndexEndpoint) ProtoReflect() protoreflect.Message
func (*IndexEndpoint) Reset
func (x *IndexEndpoint) Reset()
func (*IndexEndpoint) String
func (x *IndexEndpoint) String() string
IndexEndpointServiceClient
type IndexEndpointServiceClient interface {
// Creates an IndexEndpoint.
CreateIndexEndpoint(ctx context.Context, in *CreateIndexEndpointRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Gets an IndexEndpoint.
GetIndexEndpoint(ctx context.Context, in *GetIndexEndpointRequest, opts ...grpc.CallOption) (*IndexEndpoint, error)
// Lists IndexEndpoints in a Location.
ListIndexEndpoints(ctx context.Context, in *ListIndexEndpointsRequest, opts ...grpc.CallOption) (*ListIndexEndpointsResponse, error)
// Updates an IndexEndpoint.
UpdateIndexEndpoint(ctx context.Context, in *UpdateIndexEndpointRequest, opts ...grpc.CallOption) (*IndexEndpoint, error)
// Deletes an IndexEndpoint.
DeleteIndexEndpoint(ctx context.Context, in *DeleteIndexEndpointRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Deploys an Index into this IndexEndpoint, creating a DeployedIndex within
// it.
// Only non-empty Indexes can be deployed.
DeployIndex(ctx context.Context, in *DeployIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
// and freeing all resources it's using.
UndeployIndex(ctx context.Context, in *UndeployIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Update an existing DeployedIndex under an IndexEndpoint.
MutateDeployedIndex(ctx context.Context, in *MutateDeployedIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}
IndexEndpointServiceClient is the client API for IndexEndpointService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewIndexEndpointServiceClient
func NewIndexEndpointServiceClient(cc grpc.ClientConnInterface) IndexEndpointServiceClient
IndexEndpointServiceServer
type IndexEndpointServiceServer interface {
// Creates an IndexEndpoint.
CreateIndexEndpoint(context.Context, *CreateIndexEndpointRequest) (*longrunning.Operation, error)
// Gets an IndexEndpoint.
GetIndexEndpoint(context.Context, *GetIndexEndpointRequest) (*IndexEndpoint, error)
// Lists IndexEndpoints in a Location.
ListIndexEndpoints(context.Context, *ListIndexEndpointsRequest) (*ListIndexEndpointsResponse, error)
// Updates an IndexEndpoint.
UpdateIndexEndpoint(context.Context, *UpdateIndexEndpointRequest) (*IndexEndpoint, error)
// Deletes an IndexEndpoint.
DeleteIndexEndpoint(context.Context, *DeleteIndexEndpointRequest) (*longrunning.Operation, error)
// Deploys an Index into this IndexEndpoint, creating a DeployedIndex within
// it.
// Only non-empty Indexes can be deployed.
DeployIndex(context.Context, *DeployIndexRequest) (*longrunning.Operation, error)
// Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
// and freeing all resources it's using.
UndeployIndex(context.Context, *UndeployIndexRequest) (*longrunning.Operation, error)
// Update an existing DeployedIndex under an IndexEndpoint.
MutateDeployedIndex(context.Context, *MutateDeployedIndexRequest) (*longrunning.Operation, error)
}
IndexEndpointServiceServer is the server API for IndexEndpointService service.
IndexPrivateEndpoints
type IndexPrivateEndpoints struct {
// Output only. The ip address used to send match gRPC requests.
MatchGrpcAddress string `protobuf:"bytes,1,opt,name=match_grpc_address,json=matchGrpcAddress,proto3" json:"match_grpc_address,omitempty"`
// Output only. The name of the service attachment resource. Populated if
// private service connect is enabled.
ServiceAttachment string `protobuf:"bytes,2,opt,name=service_attachment,json=serviceAttachment,proto3" json:"service_attachment,omitempty"`
// contains filtered or unexported fields
}
IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g. private service access, private service connect). To send request via private service access, use match_grpc_address. To send request via private service connect, use service_attachment.
func (*IndexPrivateEndpoints) Descriptor
func (*IndexPrivateEndpoints) Descriptor() ([]byte, []int)
Deprecated: Use IndexPrivateEndpoints.ProtoReflect.Descriptor instead.
func (*IndexPrivateEndpoints) GetMatchGrpcAddress
func (x *IndexPrivateEndpoints) GetMatchGrpcAddress() string
func (*IndexPrivateEndpoints) GetServiceAttachment
func (x *IndexPrivateEndpoints) GetServiceAttachment() string
func (*IndexPrivateEndpoints) ProtoMessage
func (*IndexPrivateEndpoints) ProtoMessage()
func (*IndexPrivateEndpoints) ProtoReflect
func (x *IndexPrivateEndpoints) ProtoReflect() protoreflect.Message
func (*IndexPrivateEndpoints) Reset
func (x *IndexPrivateEndpoints) Reset()
func (*IndexPrivateEndpoints) String
func (x *IndexPrivateEndpoints) String() string
IndexServiceClient
type IndexServiceClient interface {
// Creates an Index.
CreateIndex(ctx context.Context, in *CreateIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Gets an Index.
GetIndex(ctx context.Context, in *GetIndexRequest, opts ...grpc.CallOption) (*Index, error)
// Lists Indexes in a Location.
ListIndexes(ctx context.Context, in *ListIndexesRequest, opts ...grpc.CallOption) (*ListIndexesResponse, error)
// Updates an Index.
UpdateIndex(ctx context.Context, in *UpdateIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Deletes an Index.
// An Index can only be deleted when all its
// [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
// been undeployed.
DeleteIndex(ctx context.Context, in *DeleteIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Add/update Datapoints into an Index.
UpsertDatapoints(ctx context.Context, in *UpsertDatapointsRequest, opts ...grpc.CallOption) (*UpsertDatapointsResponse, error)
// Remove Datapoints from an Index.
RemoveDatapoints(ctx context.Context, in *RemoveDatapointsRequest, opts ...grpc.CallOption) (*RemoveDatapointsResponse, error)
}
IndexServiceClient is the client API for IndexService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewIndexServiceClient
func NewIndexServiceClient(cc grpc.ClientConnInterface) IndexServiceClient
IndexServiceServer
type IndexServiceServer interface {
// Creates an Index.
CreateIndex(context.Context, *CreateIndexRequest) (*longrunning.Operation, error)
// Gets an Index.
GetIndex(context.Context, *GetIndexRequest) (*Index, error)
// Lists Indexes in a Location.
ListIndexes(context.Context, *ListIndexesRequest) (*ListIndexesResponse, error)
// Updates an Index.
UpdateIndex(context.Context, *UpdateIndexRequest) (*longrunning.Operation, error)
// Deletes an Index.
// An Index can only be deleted when all its
// [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] had
// been undeployed.
DeleteIndex(context.Context, *DeleteIndexRequest) (*longrunning.Operation, error)
// Add/update Datapoints into an Index.
UpsertDatapoints(context.Context, *UpsertDatapointsRequest) (*UpsertDatapointsResponse, error)
// Remove Datapoints from an Index.
RemoveDatapoints(context.Context, *RemoveDatapointsRequest) (*RemoveDatapointsResponse, error)
}
IndexServiceServer is the server API for IndexService service.
IndexStats
type IndexStats struct {
// Output only. The number of vectors in the Index.
VectorsCount int64 `protobuf:"varint,1,opt,name=vectors_count,json=vectorsCount,proto3" json:"vectors_count,omitempty"`
// Output only. The number of shards in the Index.
ShardsCount int32 `protobuf:"varint,2,opt,name=shards_count,json=shardsCount,proto3" json:"shards_count,omitempty"`
// contains filtered or unexported fields
}
Stats of the Index.
func (*IndexStats) Descriptor
func (*IndexStats) Descriptor() ([]byte, []int)
Deprecated: Use IndexStats.ProtoReflect.Descriptor instead.
func (*IndexStats) GetShardsCount
func (x *IndexStats) GetShardsCount() int32
func (*IndexStats) GetVectorsCount
func (x *IndexStats) GetVectorsCount() int64
func (*IndexStats) ProtoMessage
func (*IndexStats) ProtoMessage()
func (*IndexStats) ProtoReflect
func (x *IndexStats) ProtoReflect() protoreflect.Message
func (*IndexStats) Reset
func (x *IndexStats) Reset()
func (*IndexStats) String
func (x *IndexStats) String() string
Index_IndexUpdateMethod
type Index_IndexUpdateMethod int32
The update method of an Index.
Index_INDEX_UPDATE_METHOD_UNSPECIFIED, Index_BATCH_UPDATE, Index_STREAM_UPDATE
const (
// Should not be used.
Index_INDEX_UPDATE_METHOD_UNSPECIFIED Index_IndexUpdateMethod = 0
// BatchUpdate: user can call UpdateIndex with files on Cloud Storage of
// datapoints to update.
Index_BATCH_UPDATE Index_IndexUpdateMethod = 1
// StreamUpdate: user can call UpsertDatapoints/DeleteDatapoints to update
// the Index and the updates will be applied in corresponding
// DeployedIndexes in nearly real-time.
Index_STREAM_UPDATE Index_IndexUpdateMethod = 2
)
func (Index_IndexUpdateMethod) Descriptor
func (Index_IndexUpdateMethod) Descriptor() protoreflect.EnumDescriptor
func (Index_IndexUpdateMethod) Enum
func (x Index_IndexUpdateMethod) Enum() *Index_IndexUpdateMethod
func (Index_IndexUpdateMethod) EnumDescriptor
func (Index_IndexUpdateMethod) EnumDescriptor() ([]byte, []int)
Deprecated: Use Index_IndexUpdateMethod.Descriptor instead.
func (Index_IndexUpdateMethod) Number
func (x Index_IndexUpdateMethod) Number() protoreflect.EnumNumber
func (Index_IndexUpdateMethod) String
func (x Index_IndexUpdateMethod) String() string
func (Index_IndexUpdateMethod) Type
func (Index_IndexUpdateMethod) Type() protoreflect.EnumType
InputDataConfig
type InputDataConfig struct {
Split isInputDataConfig_Split `protobuf_oneof:"split"`
Destination isInputDataConfig_Destination `protobuf_oneof:"destination"`
DatasetId string `protobuf:"bytes,1,opt,name=dataset_id,json=datasetId,proto3" json:"dataset_id,omitempty"`
AnnotationsFilter string `protobuf:"bytes,6,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
AnnotationSchemaUri string `protobuf:"bytes,9,opt,name=annotation_schema_uri,json=annotationSchemaUri,proto3" json:"annotation_schema_uri,omitempty"`
SavedQueryId string `protobuf:"bytes,7,opt,name=saved_query_id,json=savedQueryId,proto3" json:"saved_query_id,omitempty"`
PersistMlUseAssignment bool "" /* 133 byte string literal not displayed */
}
Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.
func (*InputDataConfig) Descriptor
func (*InputDataConfig) Descriptor() ([]byte, []int)
Deprecated: Use InputDataConfig.ProtoReflect.Descriptor instead.
func (*InputDataConfig) GetAnnotationSchemaUri
func (x *InputDataConfig) GetAnnotationSchemaUri() string
func (*InputDataConfig) GetAnnotationsFilter
func (x *InputDataConfig) GetAnnotationsFilter() string
func (*InputDataConfig) GetBigqueryDestination
func (x *InputDataConfig) GetBigqueryDestination() *BigQueryDestination
func (*InputDataConfig) GetDatasetId
func (x *InputDataConfig) GetDatasetId() string
func (*InputDataConfig) GetDestination
func (m *InputDataConfig) GetDestination() isInputDataConfig_Destination
func (*InputDataConfig) GetFilterSplit
func (x *InputDataConfig) GetFilterSplit() *FilterSplit
func (*InputDataConfig) GetFractionSplit
func (x *InputDataConfig) GetFractionSplit() *FractionSplit
func (*InputDataConfig) GetGcsDestination
func (x *InputDataConfig) GetGcsDestination() *GcsDestination
func (*InputDataConfig) GetPersistMlUseAssignment
func (x *InputDataConfig) GetPersistMlUseAssignment() bool
func (*InputDataConfig) GetPredefinedSplit
func (x *InputDataConfig) GetPredefinedSplit() *PredefinedSplit
func (*InputDataConfig) GetSavedQueryId
func (x *InputDataConfig) GetSavedQueryId() string
func (*InputDataConfig) GetSplit
func (m *InputDataConfig) GetSplit() isInputDataConfig_Split
func (*InputDataConfig) GetStratifiedSplit
func (x *InputDataConfig) GetStratifiedSplit() *StratifiedSplit
func (*InputDataConfig) GetTimestampSplit
func (x *InputDataConfig) GetTimestampSplit() *TimestampSplit
func (*InputDataConfig) ProtoMessage
func (*InputDataConfig) ProtoMessage()
func (*InputDataConfig) ProtoReflect
func (x *InputDataConfig) ProtoReflect() protoreflect.Message
func (*InputDataConfig) Reset
func (x *InputDataConfig) Reset()
func (*InputDataConfig) String
func (x *InputDataConfig) String() string
InputDataConfig_BigqueryDestination
type InputDataConfig_BigqueryDestination struct {
// Only applicable to custom training with tabular Dataset with BigQuery
// source.
//
// The BigQuery project location where the training data is to be written
// to. In the given project a new dataset is created with name
// `dataset_
InputDataConfig_FilterSplit
type InputDataConfig_FilterSplit struct {
// Split based on the provided filters for each set.
FilterSplit *FilterSplit `protobuf:"bytes,3,opt,name=filter_split,json=filterSplit,proto3,oneof"`
}
InputDataConfig_FractionSplit
type InputDataConfig_FractionSplit struct {
// Split based on fractions defining the size of each set.
FractionSplit *FractionSplit `protobuf:"bytes,2,opt,name=fraction_split,json=fractionSplit,proto3,oneof"`
}
InputDataConfig_GcsDestination
type InputDataConfig_GcsDestination struct {
// The Cloud Storage location where the training data is to be
// written to. In the given directory a new directory is created with
// name:
// `dataset-
InputDataConfig_PredefinedSplit
type InputDataConfig_PredefinedSplit struct {
// Supported only for tabular Datasets.
//
// Split based on a predefined key.
PredefinedSplit *PredefinedSplit `protobuf:"bytes,4,opt,name=predefined_split,json=predefinedSplit,proto3,oneof"`
}
InputDataConfig_StratifiedSplit
type InputDataConfig_StratifiedSplit struct {
// Supported only for tabular Datasets.
//
// Split based on the distribution of the specified column.
StratifiedSplit *StratifiedSplit `protobuf:"bytes,12,opt,name=stratified_split,json=stratifiedSplit,proto3,oneof"`
}
InputDataConfig_TimestampSplit
type InputDataConfig_TimestampSplit struct {
// Supported only for tabular Datasets.
//
// Split based on the timestamp of the input data pieces.
TimestampSplit *TimestampSplit `protobuf:"bytes,5,opt,name=timestamp_split,json=timestampSplit,proto3,oneof"`
}
Int64Array
type Int64Array struct {
// A list of int64 values.
Values []int64 `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
// contains filtered or unexported fields
}
A list of int64 values.
func (*Int64Array) Descriptor
func (*Int64Array) Descriptor() ([]byte, []int)
Deprecated: Use Int64Array.ProtoReflect.Descriptor instead.
func (*Int64Array) GetValues
func (x *Int64Array) GetValues() []int64
func (*Int64Array) ProtoMessage
func (*Int64Array) ProtoMessage()
func (*Int64Array) ProtoReflect
func (x *Int64Array) ProtoReflect() protoreflect.Message
func (*Int64Array) Reset
func (x *Int64Array) Reset()
func (*Int64Array) String
func (x *Int64Array) String() string
IntegratedGradientsAttribution
type IntegratedGradientsAttribution struct {
// Required. The number of steps for approximating the path integral.
// A good value to start is 50 and gradually increase until the
// sum to diff property is within the desired error range.
//
// Valid range of its value is [1, 100], inclusively.
StepCount int32 `protobuf:"varint,1,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
// Config for SmoothGrad approximation of gradients.
//
// When enabled, the gradients are approximated by averaging the gradients
// from noisy samples in the vicinity of the inputs. Adding
// noise can help improve the computed gradients. Refer to this paper for more
// details: https://arxiv.org/pdf/1706.03825.pdf
SmoothGradConfig *SmoothGradConfig `protobuf:"bytes,2,opt,name=smooth_grad_config,json=smoothGradConfig,proto3" json:"smooth_grad_config,omitempty"`
// Config for IG with blur baseline.
//
// When enabled, a linear path from the maximally blurred image to the input
// image is created. Using a blurred baseline instead of zero (black image) is
// motivated by the BlurIG approach explained here:
// https://arxiv.org/abs/2004.03383
BlurBaselineConfig *BlurBaselineConfig `protobuf:"bytes,3,opt,name=blur_baseline_config,json=blurBaselineConfig,proto3" json:"blur_baseline_config,omitempty"`
// contains filtered or unexported fields
}
An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365
func (*IntegratedGradientsAttribution) Descriptor
func (*IntegratedGradientsAttribution) Descriptor() ([]byte, []int)
Deprecated: Use IntegratedGradientsAttribution.ProtoReflect.Descriptor instead.
func (*IntegratedGradientsAttribution) GetBlurBaselineConfig
func (x *IntegratedGradientsAttribution) GetBlurBaselineConfig() *BlurBaselineConfig
func (*IntegratedGradientsAttribution) GetSmoothGradConfig
func (x *IntegratedGradientsAttribution) GetSmoothGradConfig() *SmoothGradConfig
func (*IntegratedGradientsAttribution) GetStepCount
func (x *IntegratedGradientsAttribution) GetStepCount() int32
func (*IntegratedGradientsAttribution) ProtoMessage
func (*IntegratedGradientsAttribution) ProtoMessage()
func (*IntegratedGradientsAttribution) ProtoReflect
func (x *IntegratedGradientsAttribution) ProtoReflect() protoreflect.Message
func (*IntegratedGradientsAttribution) Reset
func (x *IntegratedGradientsAttribution) Reset()
func (*IntegratedGradientsAttribution) String
func (x *IntegratedGradientsAttribution) String() string
JobServiceClient
type JobServiceClient interface {
// Creates a CustomJob. A created CustomJob right away
// will be attempted to be run.
CreateCustomJob(ctx context.Context, in *CreateCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error)
// Gets a CustomJob.
GetCustomJob(ctx context.Context, in *GetCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error)
// Lists CustomJobs in a Location.
ListCustomJobs(ctx context.Context, in *ListCustomJobsRequest, opts ...grpc.CallOption) (*ListCustomJobsResponse, error)
// Deletes a CustomJob.
DeleteCustomJob(ctx context.Context, in *DeleteCustomJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Cancels a CustomJob.
// Starts asynchronous cancellation on the CustomJob. The server
// makes a best effort to cancel the job, but success is not
// guaranteed. Clients can use
// [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob]
// or other methods to check whether the cancellation succeeded or whether the
// job completed despite cancellation. On successful cancellation,
// the CustomJob is not deleted; instead it becomes a job with
// a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with
// a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
// `Code.CANCELLED`, and
// [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
// `CANCELLED`.
CancelCustomJob(ctx context.Context, in *CancelCustomJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
// Creates a DataLabelingJob.
CreateDataLabelingJob(ctx context.Context, in *CreateDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error)
// Gets a DataLabelingJob.
GetDataLabelingJob(ctx context.Context, in *GetDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error)
// Lists DataLabelingJobs in a Location.
ListDataLabelingJobs(ctx context.Context, in *ListDataLabelingJobsRequest, opts ...grpc.CallOption) (*ListDataLabelingJobsResponse, error)
// Deletes a DataLabelingJob.
DeleteDataLabelingJob(ctx context.Context, in *DeleteDataLabelingJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
CancelDataLabelingJob(ctx context.Context, in *CancelDataLabelingJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
// Creates a HyperparameterTuningJob
CreateHyperparameterTuningJob(ctx context.Context, in *CreateHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error)
// Gets a HyperparameterTuningJob
GetHyperparameterTuningJob(ctx context.Context, in *GetHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error)
// Lists HyperparameterTuningJobs in a Location.
ListHyperparameterTuningJobs(ctx context.Context, in *ListHyperparameterTuningJobsRequest, opts ...grpc.CallOption) (*ListHyperparameterTuningJobsResponse, error)
// Deletes a HyperparameterTuningJob.
DeleteHyperparameterTuningJob(ctx context.Context, in *DeleteHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Cancels a HyperparameterTuningJob.
// Starts asynchronous cancellation on the HyperparameterTuningJob. The server
// makes a best effort to cancel the job, but success is not
// guaranteed. Clients can use
// [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
// or other methods to check whether the cancellation succeeded or whether the
// job completed despite cancellation. On successful cancellation,
// the HyperparameterTuningJob is not deleted; instead it becomes a job with
// a
// [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error]
// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
// corresponding to `Code.CANCELLED`, and
// [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state]
// is set to `CANCELLED`.
CancelHyperparameterTuningJob(ctx context.Context, in *CancelHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
// Creates a NasJob
CreateNasJob(ctx context.Context, in *CreateNasJobRequest, opts ...grpc.CallOption) (*NasJob, error)
// Gets a NasJob
GetNasJob(ctx context.Context, in *GetNasJobRequest, opts ...grpc.CallOption) (*NasJob, error)
// Lists NasJobs in a Location.
ListNasJobs(ctx context.Context, in *ListNasJobsRequest, opts ...grpc.CallOption) (*ListNasJobsResponse, error)
// Deletes a NasJob.
DeleteNasJob(ctx context.Context, in *DeleteNasJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Cancels a NasJob.
// Starts asynchronous cancellation on the NasJob. The server
// makes a best effort to cancel the job, but success is not
// guaranteed. Clients can use
// [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob] or
// other methods to check whether the cancellation succeeded or whether the
// job completed despite cancellation. On successful cancellation,
// the NasJob is not deleted; instead it becomes a job with
// a [NasJob.error][google.cloud.aiplatform.v1.NasJob.error] value with a
// [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
// `Code.CANCELLED`, and
// [NasJob.state][google.cloud.aiplatform.v1.NasJob.state] is set to
// `CANCELLED`.
CancelNasJob(ctx context.Context, in *CancelNasJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
// Gets a NasTrialDetail.
GetNasTrialDetail(ctx context.Context, in *GetNasTrialDetailRequest, opts ...grpc.CallOption) (*NasTrialDetail, error)
// List top NasTrialDetails of a NasJob.
ListNasTrialDetails(ctx context.Context, in *ListNasTrialDetailsRequest, opts ...grpc.CallOption) (*ListNasTrialDetailsResponse, error)
// Creates a BatchPredictionJob. A BatchPredictionJob once created will
// right away be attempted to start.
CreateBatchPredictionJob(ctx context.Context, in *CreateBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error)
// Gets a BatchPredictionJob
GetBatchPredictionJob(ctx context.Context, in *GetBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error)
// Lists BatchPredictionJobs in a Location.
ListBatchPredictionJobs(ctx context.Context, in *ListBatchPredictionJobsRequest, opts ...grpc.CallOption) (*ListBatchPredictionJobsResponse, error)
// Deletes a BatchPredictionJob. Can only be called on jobs that already
// finished.
DeleteBatchPredictionJob(ctx context.Context, in *DeleteBatchPredictionJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Cancels a BatchPredictionJob.
//
// Starts asynchronous cancellation on the BatchPredictionJob. The server
// makes the best effort to cancel the job, but success is not
// guaranteed. Clients can use
// [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
// or other methods to check whether the cancellation succeeded or whether the
// job completed despite cancellation. On a successful cancellation,
// the BatchPredictionJob is not deleted;instead its
// [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state]
// is set to `CANCELLED`. Any files already outputted by the job are not
// deleted.
CancelBatchPredictionJob(ctx context.Context, in *CancelBatchPredictionJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
// Creates a ModelDeploymentMonitoringJob. It will run periodically on a
// configured interval.
CreateModelDeploymentMonitoringJob(ctx context.Context, in *CreateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error)
// Searches Model Monitoring Statistics generated within a given time window.
SearchModelDeploymentMonitoringStatsAnomalies(ctx context.Context, in *SearchModelDeploymentMonitoringStatsAnomaliesRequest, opts ...grpc.CallOption) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
// Gets a ModelDeploymentMonitoringJob.
GetModelDeploymentMonitoringJob(ctx context.Context, in *GetModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error)
// Lists ModelDeploymentMonitoringJobs in a Location.
ListModelDeploymentMonitoringJobs(ctx context.Context, in *ListModelDeploymentMonitoringJobsRequest, opts ...grpc.CallOption) (*ListModelDeploymentMonitoringJobsResponse, error)
// Updates a ModelDeploymentMonitoringJob.
UpdateModelDeploymentMonitoringJob(ctx context.Context, in *UpdateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Deletes a ModelDeploymentMonitoringJob.
DeleteModelDeploymentMonitoringJob(ctx context.Context, in *DeleteModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
// makes a best effort to cancel the job. Will mark
// [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
// to 'PAUSED'.
PauseModelDeploymentMonitoringJob(ctx context.Context, in *PauseModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
// Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
// next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
// resumed.
ResumeModelDeploymentMonitoringJob(ctx context.Context, in *ResumeModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
}
JobServiceClient is the client API for JobService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewJobServiceClient
func NewJobServiceClient(cc grpc.ClientConnInterface) JobServiceClient
JobServiceServer
type JobServiceServer interface {
// Creates a CustomJob. A created CustomJob right away
// will be attempted to be run.
CreateCustomJob(context.Context, *CreateCustomJobRequest) (*CustomJob, error)
// Gets a CustomJob.
GetCustomJob(context.Context, *GetCustomJobRequest) (*CustomJob, error)
// Lists CustomJobs in a Location.
ListCustomJobs(context.Context, *ListCustomJobsRequest) (*ListCustomJobsResponse, error)
// Deletes a CustomJob.
DeleteCustomJob(context.Context, *DeleteCustomJobRequest) (*longrunning.Operation, error)
// Cancels a CustomJob.
// Starts asynchronous cancellation on the CustomJob. The server
// makes a best effort to cancel the job, but success is not
// guaranteed. Clients can use
// [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob]
// or other methods to check whether the cancellation succeeded or whether the
// job completed despite cancellation. On successful cancellation,
// the CustomJob is not deleted; instead it becomes a job with
// a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with
// a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
// `Code.CANCELLED`, and
// [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
// `CANCELLED`.
CancelCustomJob(context.Context, *CancelCustomJobRequest) (*emptypb.Empty, error)
// Creates a DataLabelingJob.
CreateDataLabelingJob(context.Context, *CreateDataLabelingJobRequest) (*DataLabelingJob, error)
// Gets a DataLabelingJob.
GetDataLabelingJob(context.Context, *GetDataLabelingJobRequest) (*DataLabelingJob, error)
// Lists DataLabelingJobs in a Location.
ListDataLabelingJobs(context.Context, *ListDataLabelingJobsRequest) (*ListDataLabelingJobsResponse, error)
// Deletes a DataLabelingJob.
DeleteDataLabelingJob(context.Context, *DeleteDataLabelingJobRequest) (*longrunning.Operation, error)
// Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
CancelDataLabelingJob(context.Context, *CancelDataLabelingJobRequest) (*emptypb.Empty, error)
// Creates a HyperparameterTuningJob
CreateHyperparameterTuningJob(context.Context, *CreateHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
// Gets a HyperparameterTuningJob
GetHyperparameterTuningJob(context.Context, *GetHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
// Lists HyperparameterTuningJobs in a Location.
ListHyperparameterTuningJobs(context.Context, *ListHyperparameterTuningJobsRequest) (*ListHyperparameterTuningJobsResponse, error)
// Deletes a HyperparameterTuningJob.
DeleteHyperparameterTuningJob(context.Context, *DeleteHyperparameterTuningJobRequest) (*longrunning.Operation, error)
// Cancels a HyperparameterTuningJob.
// Starts asynchronous cancellation on the HyperparameterTuningJob. The server
// makes a best effort to cancel the job, but success is not
// guaranteed. Clients can use
// [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]
// or other methods to check whether the cancellation succeeded or whether the
// job completed despite cancellation. On successful cancellation,
// the HyperparameterTuningJob is not deleted; instead it becomes a job with
// a
// [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error]
// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
// corresponding to `Code.CANCELLED`, and
// [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state]
// is set to `CANCELLED`.
CancelHyperparameterTuningJob(context.Context, *CancelHyperparameterTuningJobRequest) (*emptypb.Empty, error)
// Creates a NasJob
CreateNasJob(context.Context, *CreateNasJobRequest) (*NasJob, error)
// Gets a NasJob
GetNasJob(context.Context, *GetNasJobRequest) (*NasJob, error)
// Lists NasJobs in a Location.
ListNasJobs(context.Context, *ListNasJobsRequest) (*ListNasJobsResponse, error)
// Deletes a NasJob.
DeleteNasJob(context.Context, *DeleteNasJobRequest) (*longrunning.Operation, error)
// Cancels a NasJob.
// Starts asynchronous cancellation on the NasJob. The server
// makes a best effort to cancel the job, but success is not
// guaranteed. Clients can use
// [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob] or
// other methods to check whether the cancellation succeeded or whether the
// job completed despite cancellation. On successful cancellation,
// the NasJob is not deleted; instead it becomes a job with
// a [NasJob.error][google.cloud.aiplatform.v1.NasJob.error] value with a
// [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to
// `Code.CANCELLED`, and
// [NasJob.state][google.cloud.aiplatform.v1.NasJob.state] is set to
// `CANCELLED`.
CancelNasJob(context.Context, *CancelNasJobRequest) (*emptypb.Empty, error)
// Gets a NasTrialDetail.
GetNasTrialDetail(context.Context, *GetNasTrialDetailRequest) (*NasTrialDetail, error)
// List top NasTrialDetails of a NasJob.
ListNasTrialDetails(context.Context, *ListNasTrialDetailsRequest) (*ListNasTrialDetailsResponse, error)
// Creates a BatchPredictionJob. A BatchPredictionJob once created will
// right away be attempted to start.
CreateBatchPredictionJob(context.Context, *CreateBatchPredictionJobRequest) (*BatchPredictionJob, error)
// Gets a BatchPredictionJob
GetBatchPredictionJob(context.Context, *GetBatchPredictionJobRequest) (*BatchPredictionJob, error)
// Lists BatchPredictionJobs in a Location.
ListBatchPredictionJobs(context.Context, *ListBatchPredictionJobsRequest) (*ListBatchPredictionJobsResponse, error)
// Deletes a BatchPredictionJob. Can only be called on jobs that already
// finished.
DeleteBatchPredictionJob(context.Context, *DeleteBatchPredictionJobRequest) (*longrunning.Operation, error)
// Cancels a BatchPredictionJob.
//
// Starts asynchronous cancellation on the BatchPredictionJob. The server
// makes the best effort to cancel the job, but success is not
// guaranteed. Clients can use
// [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]
// or other methods to check whether the cancellation succeeded or whether the
// job completed despite cancellation. On a successful cancellation,
// the BatchPredictionJob is not deleted;instead its
// [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state]
// is set to `CANCELLED`. Any files already outputted by the job are not
// deleted.
CancelBatchPredictionJob(context.Context, *CancelBatchPredictionJobRequest) (*emptypb.Empty, error)
// Creates a ModelDeploymentMonitoringJob. It will run periodically on a
// configured interval.
CreateModelDeploymentMonitoringJob(context.Context, *CreateModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
// Searches Model Monitoring Statistics generated within a given time window.
SearchModelDeploymentMonitoringStatsAnomalies(context.Context, *SearchModelDeploymentMonitoringStatsAnomaliesRequest) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
// Gets a ModelDeploymentMonitoringJob.
GetModelDeploymentMonitoringJob(context.Context, *GetModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
// Lists ModelDeploymentMonitoringJobs in a Location.
ListModelDeploymentMonitoringJobs(context.Context, *ListModelDeploymentMonitoringJobsRequest) (*ListModelDeploymentMonitoringJobsResponse, error)
// Updates a ModelDeploymentMonitoringJob.
UpdateModelDeploymentMonitoringJob(context.Context, *UpdateModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error)
// Deletes a ModelDeploymentMonitoringJob.
DeleteModelDeploymentMonitoringJob(context.Context, *DeleteModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error)
// Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
// makes a best effort to cancel the job. Will mark
// [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state]
// to 'PAUSED'.
PauseModelDeploymentMonitoringJob(context.Context, *PauseModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
// Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
// next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
// resumed.
ResumeModelDeploymentMonitoringJob(context.Context, *ResumeModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
}
JobServiceServer is the server API for JobService service.
JobState
type JobState int32
Describes the state of a job.
JobState_JOB_STATE_UNSPECIFIED, JobState_JOB_STATE_QUEUED, JobState_JOB_STATE_PENDING, JobState_JOB_STATE_RUNNING, JobState_JOB_STATE_SUCCEEDED, JobState_JOB_STATE_FAILED, JobState_JOB_STATE_CANCELLING, JobState_JOB_STATE_CANCELLED, JobState_JOB_STATE_PAUSED, JobState_JOB_STATE_EXPIRED, JobState_JOB_STATE_UPDATING
const (
// The job state is unspecified.
JobState_JOB_STATE_UNSPECIFIED JobState = 0
// The job has been just created or resumed and processing has not yet begun.
JobState_JOB_STATE_QUEUED JobState = 1
// The service is preparing to run the job.
JobState_JOB_STATE_PENDING JobState = 2
// The job is in progress.
JobState_JOB_STATE_RUNNING JobState = 3
// The job completed successfully.
JobState_JOB_STATE_SUCCEEDED JobState = 4
// The job failed.
JobState_JOB_STATE_FAILED JobState = 5
// The job is being cancelled. From this state the job may only go to
// either `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
JobState_JOB_STATE_CANCELLING JobState = 6
// The job has been cancelled.
JobState_JOB_STATE_CANCELLED JobState = 7
// The job has been stopped, and can be resumed.
JobState_JOB_STATE_PAUSED JobState = 8
// The job has expired.
JobState_JOB_STATE_EXPIRED JobState = 9
// The job is being updated. The job is only able to be updated at RUNNING
// state; if the update operation succeeds, job goes back to RUNNING state; if
// the update operation fails, the job goes back to RUNNING state with error
// messages written to [ModelDeploymentMonitoringJob.partial_errors][] field
// if it is a ModelDeploymentMonitoringJob.
JobState_JOB_STATE_UPDATING JobState = 10
)
func (JobState) Descriptor
func (JobState) Descriptor() protoreflect.EnumDescriptor
func (JobState) Enum
func (JobState) EnumDescriptor
Deprecated: Use JobState.Descriptor instead.
func (JobState) Number
func (x JobState) Number() protoreflect.EnumNumber
func (JobState) String
func (JobState) Type
func (JobState) Type() protoreflect.EnumType
LineageSubgraph
type LineageSubgraph struct {
// The Artifact nodes in the subgraph.
Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
// The Execution nodes in the subgraph.
Executions []*Execution `protobuf:"bytes,2,rep,name=executions,proto3" json:"executions,omitempty"`
// The Event edges between Artifacts and Executions in the subgraph.
Events []*Event `protobuf:"bytes,3,rep,name=events,proto3" json:"events,omitempty"`
// contains filtered or unexported fields
}
A subgraph of the overall lineage graph. Event edges connect Artifact and Execution nodes.
func (*LineageSubgraph) Descriptor
func (*LineageSubgraph) Descriptor() ([]byte, []int)
Deprecated: Use LineageSubgraph.ProtoReflect.Descriptor instead.
func (*LineageSubgraph) GetArtifacts
func (x *LineageSubgraph) GetArtifacts() []*Artifact
func (*LineageSubgraph) GetEvents
func (x *LineageSubgraph) GetEvents() []*Event
func (*LineageSubgraph) GetExecutions
func (x *LineageSubgraph) GetExecutions() []*Execution
func (*LineageSubgraph) ProtoMessage
func (*LineageSubgraph) ProtoMessage()
func (*LineageSubgraph) ProtoReflect
func (x *LineageSubgraph) ProtoReflect() protoreflect.Message
func (*LineageSubgraph) Reset
func (x *LineageSubgraph) Reset()
func (*LineageSubgraph) String
func (x *LineageSubgraph) String() string
ListAnnotationsRequest
type ListAnnotationsRequest struct {
// Required. The resource name of the DataItem to list Annotations from.
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
func (*ListAnnotationsRequest) Descriptor
func (*ListAnnotationsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListAnnotationsRequest.ProtoReflect.Descriptor instead.
func (*ListAnnotationsRequest) GetFilter
func (x *ListAnnotationsRequest) GetFilter() string
func (*ListAnnotationsRequest) GetOrderBy
func (x *ListAnnotationsRequest) GetOrderBy() string
func (*ListAnnotationsRequest) GetPageSize
func (x *ListAnnotationsRequest) GetPageSize() int32
func (*ListAnnotationsRequest) GetPageToken
func (x *ListAnnotationsRequest) GetPageToken() string
func (*ListAnnotationsRequest) GetParent
func (x *ListAnnotationsRequest) GetParent() string
func (*ListAnnotationsRequest) GetReadMask
func (x *ListAnnotationsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListAnnotationsRequest) ProtoMessage
func (*ListAnnotationsRequest) ProtoMessage()
func (*ListAnnotationsRequest) ProtoReflect
func (x *ListAnnotationsRequest) ProtoReflect() protoreflect.Message
func (*ListAnnotationsRequest) Reset
func (x *ListAnnotationsRequest) Reset()
func (*ListAnnotationsRequest) String
func (x *ListAnnotationsRequest) String() string
ListAnnotationsResponse
type ListAnnotationsResponse struct {
// A list of Annotations that matches the specified filter in the request.
Annotations []*Annotation `protobuf:"bytes,1,rep,name=annotations,proto3" json:"annotations,omitempty"`
// The standard List next-page token.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
func (*ListAnnotationsResponse) Descriptor
func (*ListAnnotationsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListAnnotationsResponse.ProtoReflect.Descriptor instead.
func (*ListAnnotationsResponse) GetAnnotations
func (x *ListAnnotationsResponse) GetAnnotations() []*Annotation
func (*ListAnnotationsResponse) GetNextPageToken
func (x *ListAnnotationsResponse) GetNextPageToken() string
func (*ListAnnotationsResponse) ProtoMessage
func (*ListAnnotationsResponse) ProtoMessage()
func (*ListAnnotationsResponse) ProtoReflect
func (x *ListAnnotationsResponse) ProtoReflect() protoreflect.Message
func (*ListAnnotationsResponse) Reset
func (x *ListAnnotationsResponse) Reset()
func (*ListAnnotationsResponse) String
func (x *ListAnnotationsResponse) String() string
ListArtifactsRequest
type ListArtifactsRequest struct {
// Required. The MetadataStore whose Artifacts should be listed.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The maximum number of Artifacts to return. The service may return fewer.
// Must be in range 1-1000, inclusive. Defaults to 100.
PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other provided parameters must match the call that
// provided the page token. (Otherwise the request will fail with
// INVALID_ARGUMENT error.)
PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Filter specifying the boolean condition for the Artifacts to satisfy in
// order to be part of the result set.
// The syntax to define filter query is based on https://google.aip.dev/160.
// The supported set of filters include the following:
//
// * **Attribute filtering**:
// For example: `display_name = "test"`.
// Supported fields include: `name`, `display_name`, `uri`, `state`,
// `schema_title`, `create_time`, and `update_time`.
// Time fields, such as `create_time` and `update_time`, require values
// specified in RFC-3339 format.
// For example: `create_time = "2020-11-19T11:30:00-04:00"`
// * **Metadata field**:
// To filter on metadata fields use traversal operation as follows:
// `metadata.
Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
func (*ListArtifactsRequest) Descriptor
func (*ListArtifactsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListArtifactsRequest.ProtoReflect.Descriptor instead.
func (*ListArtifactsRequest) GetFilter
func (x *ListArtifactsRequest) GetFilter() string
func (*ListArtifactsRequest) GetOrderBy
func (x *ListArtifactsRequest) GetOrderBy() string
func (*ListArtifactsRequest) GetPageSize
func (x *ListArtifactsRequest) GetPageSize() int32
func (*ListArtifactsRequest) GetPageToken
func (x *ListArtifactsRequest) GetPageToken() string
func (*ListArtifactsRequest) GetParent
func (x *ListArtifactsRequest) GetParent() string
func (*ListArtifactsRequest) ProtoMessage
func (*ListArtifactsRequest) ProtoMessage()
func (*ListArtifactsRequest) ProtoReflect
func (x *ListArtifactsRequest) ProtoReflect() protoreflect.Message
func (*ListArtifactsRequest) Reset
func (x *ListArtifactsRequest) Reset()
func (*ListArtifactsRequest) String
func (x *ListArtifactsRequest) String() string
ListArtifactsResponse
type ListArtifactsResponse struct {
// The Artifacts retrieved from the MetadataStore.
Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
// A token, which can be sent as
// [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1.ListArtifactsRequest.page_token]
// to retrieve the next page.
// If this field is not populated, there are no subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
func (*ListArtifactsResponse) Descriptor
func (*ListArtifactsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListArtifactsResponse.ProtoReflect.Descriptor instead.
func (*ListArtifactsResponse) GetArtifacts
func (x *ListArtifactsResponse) GetArtifacts() []*Artifact
func (*ListArtifactsResponse) GetNextPageToken
func (x *ListArtifactsResponse) GetNextPageToken() string
func (*ListArtifactsResponse) ProtoMessage
func (*ListArtifactsResponse) ProtoMessage()
func (*ListArtifactsResponse) ProtoReflect
func (x *ListArtifactsResponse) ProtoReflect() protoreflect.Message
func (*ListArtifactsResponse) Reset
func (x *ListArtifactsResponse) Reset()
func (*ListArtifactsResponse) String
func (x *ListArtifactsResponse) String() string
ListBatchPredictionJobsRequest
type ListBatchPredictionJobsRequest struct {
// Required. The resource name of the Location to list the BatchPredictionJobs
// from. Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
//
// Supported fields:
//
// * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
// * `model_display_name` supports `=`, `!=` comparisons.
// * `state` supports `=`, `!=` comparisons.
// * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
// `create_time` must be in RFC 3339 format.
// * `labels` supports general map functions that is:
// `labels.key=value` - key:value equality
// `labels.key:* - key existence
//
// Some examples of using the filter are:
//
// * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
// * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
// * `NOT display_name="my_job"`
// * `create_time>"2021-05-18T00:00:00Z"`
// * `labels.keyA=valueA`
// * `labels.keyB:*`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token]
// of the previous
// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
func (*ListBatchPredictionJobsRequest) Descriptor
func (*ListBatchPredictionJobsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListBatchPredictionJobsRequest.ProtoReflect.Descriptor instead.
func (*ListBatchPredictionJobsRequest) GetFilter
func (x *ListBatchPredictionJobsRequest) GetFilter() string
func (*ListBatchPredictionJobsRequest) GetPageSize
func (x *ListBatchPredictionJobsRequest) GetPageSize() int32
func (*ListBatchPredictionJobsRequest) GetPageToken
func (x *ListBatchPredictionJobsRequest) GetPageToken() string
func (*ListBatchPredictionJobsRequest) GetParent
func (x *ListBatchPredictionJobsRequest) GetParent() string
func (*ListBatchPredictionJobsRequest) GetReadMask
func (x *ListBatchPredictionJobsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListBatchPredictionJobsRequest) ProtoMessage
func (*ListBatchPredictionJobsRequest) ProtoMessage()
func (*ListBatchPredictionJobsRequest) ProtoReflect
func (x *ListBatchPredictionJobsRequest) ProtoReflect() protoreflect.Message
func (*ListBatchPredictionJobsRequest) Reset
func (x *ListBatchPredictionJobsRequest) Reset()
func (*ListBatchPredictionJobsRequest) String
func (x *ListBatchPredictionJobsRequest) String() string
ListBatchPredictionJobsResponse
type ListBatchPredictionJobsResponse struct {
// List of BatchPredictionJobs in the requested page.
BatchPredictionJobs []*BatchPredictionJob `protobuf:"bytes,1,rep,name=batch_prediction_jobs,json=batchPredictionJobs,proto3" json:"batch_prediction_jobs,omitempty"`
// A token to retrieve the next page of results.
// Pass to
// [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
func (*ListBatchPredictionJobsResponse) Descriptor
func (*ListBatchPredictionJobsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListBatchPredictionJobsResponse.ProtoReflect.Descriptor instead.
func (*ListBatchPredictionJobsResponse) GetBatchPredictionJobs
func (x *ListBatchPredictionJobsResponse) GetBatchPredictionJobs() []*BatchPredictionJob
func (*ListBatchPredictionJobsResponse) GetNextPageToken
func (x *ListBatchPredictionJobsResponse) GetNextPageToken() string
func (*ListBatchPredictionJobsResponse) ProtoMessage
func (*ListBatchPredictionJobsResponse) ProtoMessage()
func (*ListBatchPredictionJobsResponse) ProtoReflect
func (x *ListBatchPredictionJobsResponse) ProtoReflect() protoreflect.Message
func (*ListBatchPredictionJobsResponse) Reset
func (x *ListBatchPredictionJobsResponse) Reset()
func (*ListBatchPredictionJobsResponse) String
func (x *ListBatchPredictionJobsResponse) String() string
ListContextsRequest
type ListContextsRequest struct {
// Required. The MetadataStore whose Contexts should be listed.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The maximum number of Contexts to return. The service may return fewer.
// Must be in range 1-1000, inclusive. Defaults to 100.
PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other provided parameters must match the call that
// provided the page token. (Otherwise the request will fail with
// INVALID_ARGUMENT error.)
PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Filter specifying the boolean condition for the Contexts to satisfy in
// order to be part of the result set.
// The syntax to define filter query is based on https://google.aip.dev/160.
// Following are the supported set of filters:
//
// * **Attribute filtering**:
// For example: `display_name = "test"`.
// Supported fields include: `name`, `display_name`, `schema_title`,
// `create_time`, and `update_time`.
// Time fields, such as `create_time` and `update_time`, require values
// specified in RFC-3339 format.
// For example: `create_time = "2020-11-19T11:30:00-04:00"`.
// * **Metadata field**:
// To filter on metadata fields use traversal operation as follows:
// `metadata.
Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
func (*ListContextsRequest) Descriptor
func (*ListContextsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListContextsRequest.ProtoReflect.Descriptor instead.
func (*ListContextsRequest) GetFilter
func (x *ListContextsRequest) GetFilter() string
func (*ListContextsRequest) GetOrderBy
func (x *ListContextsRequest) GetOrderBy() string
func (*ListContextsRequest) GetPageSize
func (x *ListContextsRequest) GetPageSize() int32
func (*ListContextsRequest) GetPageToken
func (x *ListContextsRequest) GetPageToken() string
func (*ListContextsRequest) GetParent
func (x *ListContextsRequest) GetParent() string
func (*ListContextsRequest) ProtoMessage
func (*ListContextsRequest) ProtoMessage()
func (*ListContextsRequest) ProtoReflect
func (x *ListContextsRequest) ProtoReflect() protoreflect.Message
func (*ListContextsRequest) Reset
func (x *ListContextsRequest) Reset()
func (*ListContextsRequest) String
func (x *ListContextsRequest) String() string
ListContextsResponse
type ListContextsResponse struct {
// The Contexts retrieved from the MetadataStore.
Contexts []*Context `protobuf:"bytes,1,rep,name=contexts,proto3" json:"contexts,omitempty"`
// A token, which can be sent as
// [ListContextsRequest.page_token][google.cloud.aiplatform.v1.ListContextsRequest.page_token]
// to retrieve the next page.
// If this field is not populated, there are no subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
func (*ListContextsResponse) Descriptor
func (*ListContextsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListContextsResponse.ProtoReflect.Descriptor instead.
func (*ListContextsResponse) GetContexts
func (x *ListContextsResponse) GetContexts() []*Context
func (*ListContextsResponse) GetNextPageToken
func (x *ListContextsResponse) GetNextPageToken() string
func (*ListContextsResponse) ProtoMessage
func (*ListContextsResponse) ProtoMessage()
func (*ListContextsResponse) ProtoReflect
func (x *ListContextsResponse) ProtoReflect() protoreflect.Message
func (*ListContextsResponse) Reset
func (x *ListContextsResponse) Reset()
func (*ListContextsResponse) String
func (x *ListContextsResponse) String() string
ListCustomJobsRequest
type ListCustomJobsRequest struct {
// Required. The resource name of the Location to list the CustomJobs from.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
//
// Supported fields:
//
// * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
// * `state` supports `=`, `!=` comparisons.
// * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
// `create_time` must be in RFC 3339 format.
// * `labels` supports general map functions that is:
// `labels.key=value` - key:value equality
// `labels.key:* - key existence
//
// Some examples of using the filter are:
//
// * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
// * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
// * `NOT display_name="my_job"`
// * `create_time>"2021-05-18T00:00:00Z"`
// * `labels.keyA=valueA`
// * `labels.keyB:*`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token]
// of the previous
// [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
func (*ListCustomJobsRequest) Descriptor
func (*ListCustomJobsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListCustomJobsRequest.ProtoReflect.Descriptor instead.
func (*ListCustomJobsRequest) GetFilter
func (x *ListCustomJobsRequest) GetFilter() string
func (*ListCustomJobsRequest) GetPageSize
func (x *ListCustomJobsRequest) GetPageSize() int32
func (*ListCustomJobsRequest) GetPageToken
func (x *ListCustomJobsRequest) GetPageToken() string
func (*ListCustomJobsRequest) GetParent
func (x *ListCustomJobsRequest) GetParent() string
func (*ListCustomJobsRequest) GetReadMask
func (x *ListCustomJobsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListCustomJobsRequest) ProtoMessage
func (*ListCustomJobsRequest) ProtoMessage()
func (*ListCustomJobsRequest) ProtoReflect
func (x *ListCustomJobsRequest) ProtoReflect() protoreflect.Message
func (*ListCustomJobsRequest) Reset
func (x *ListCustomJobsRequest) Reset()
func (*ListCustomJobsRequest) String
func (x *ListCustomJobsRequest) String() string
ListCustomJobsResponse
type ListCustomJobsResponse struct {
// List of CustomJobs in the requested page.
CustomJobs []*CustomJob `protobuf:"bytes,1,rep,name=custom_jobs,json=customJobs,proto3" json:"custom_jobs,omitempty"`
// A token to retrieve the next page of results.
// Pass to
// [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
func (*ListCustomJobsResponse) Descriptor
func (*ListCustomJobsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListCustomJobsResponse.ProtoReflect.Descriptor instead.
func (*ListCustomJobsResponse) GetCustomJobs
func (x *ListCustomJobsResponse) GetCustomJobs() []*CustomJob
func (*ListCustomJobsResponse) GetNextPageToken
func (x *ListCustomJobsResponse) GetNextPageToken() string
func (*ListCustomJobsResponse) ProtoMessage
func (*ListCustomJobsResponse) ProtoMessage()
func (*ListCustomJobsResponse) ProtoReflect
func (x *ListCustomJobsResponse) ProtoReflect() protoreflect.Message
func (*ListCustomJobsResponse) Reset
func (x *ListCustomJobsResponse) Reset()
func (*ListCustomJobsResponse) String
func (x *ListCustomJobsResponse) String() string
ListDataItemsRequest
type ListDataItemsRequest struct {
// Required. The resource name of the Dataset to list DataItems from.
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
func (*ListDataItemsRequest) Descriptor
func (*ListDataItemsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListDataItemsRequest.ProtoReflect.Descriptor instead.
func (*ListDataItemsRequest) GetFilter
func (x *ListDataItemsRequest) GetFilter() string
func (*ListDataItemsRequest) GetOrderBy
func (x *ListDataItemsRequest) GetOrderBy() string
func (*ListDataItemsRequest) GetPageSize
func (x *ListDataItemsRequest) GetPageSize() int32
func (*ListDataItemsRequest) GetPageToken
func (x *ListDataItemsRequest) GetPageToken() string
func (*ListDataItemsRequest) GetParent
func (x *ListDataItemsRequest) GetParent() string
func (*ListDataItemsRequest) GetReadMask
func (x *ListDataItemsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListDataItemsRequest) ProtoMessage
func (*ListDataItemsRequest) ProtoMessage()
func (*ListDataItemsRequest) ProtoReflect
func (x *ListDataItemsRequest) ProtoReflect() protoreflect.Message
func (*ListDataItemsRequest) Reset
func (x *ListDataItemsRequest) Reset()
func (*ListDataItemsRequest) String
func (x *ListDataItemsRequest) String() string
ListDataItemsResponse
type ListDataItemsResponse struct {
// A list of DataItems that matches the specified filter in the request.
DataItems []*DataItem `protobuf:"bytes,1,rep,name=data_items,json=dataItems,proto3" json:"data_items,omitempty"`
// The standard List next-page token.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
func (*ListDataItemsResponse) Descriptor
func (*ListDataItemsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListDataItemsResponse.ProtoReflect.Descriptor instead.
func (*ListDataItemsResponse) GetDataItems
func (x *ListDataItemsResponse) GetDataItems() []*DataItem
func (*ListDataItemsResponse) GetNextPageToken
func (x *ListDataItemsResponse) GetNextPageToken() string
func (*ListDataItemsResponse) ProtoMessage
func (*ListDataItemsResponse) ProtoMessage()
func (*ListDataItemsResponse) ProtoReflect
func (x *ListDataItemsResponse) ProtoReflect() protoreflect.Message
func (*ListDataItemsResponse) Reset
func (x *ListDataItemsResponse) Reset()
func (*ListDataItemsResponse) String
func (x *ListDataItemsResponse) String() string
ListDataLabelingJobsRequest
type ListDataLabelingJobsRequest struct {
// Required. The parent of the DataLabelingJob.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
//
// Supported fields:
//
// * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
// * `state` supports `=`, `!=` comparisons.
// * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
// `create_time` must be in RFC 3339 format.
// * `labels` supports general map functions that is:
// `labels.key=value` - key:value equality
// `labels.key:* - key existence
//
// Some examples of using the filter are:
//
// * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
// * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
// * `NOT display_name="my_job"`
// * `create_time>"2021-05-18T00:00:00Z"`
// * `labels.keyA=valueA`
// * `labels.keyB:*`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read. FieldMask represents a set of
// symbolic field paths. For example, the mask can be `paths: "name"`. The
// "name" here is a field in DataLabelingJob.
// If this field is not set, all fields of the DataLabelingJob are returned.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order by
// default.
// Use `desc` after a field name for descending.
OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
func (*ListDataLabelingJobsRequest) Descriptor
func (*ListDataLabelingJobsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListDataLabelingJobsRequest.ProtoReflect.Descriptor instead.
func (*ListDataLabelingJobsRequest) GetFilter
func (x *ListDataLabelingJobsRequest) GetFilter() string
func (*ListDataLabelingJobsRequest) GetOrderBy
func (x *ListDataLabelingJobsRequest) GetOrderBy() string
func (*ListDataLabelingJobsRequest) GetPageSize
func (x *ListDataLabelingJobsRequest) GetPageSize() int32
func (*ListDataLabelingJobsRequest) GetPageToken
func (x *ListDataLabelingJobsRequest) GetPageToken() string
func (*ListDataLabelingJobsRequest) GetParent
func (x *ListDataLabelingJobsRequest) GetParent() string
func (*ListDataLabelingJobsRequest) GetReadMask
func (x *ListDataLabelingJobsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListDataLabelingJobsRequest) ProtoMessage
func (*ListDataLabelingJobsRequest) ProtoMessage()
func (*ListDataLabelingJobsRequest) ProtoReflect
func (x *ListDataLabelingJobsRequest) ProtoReflect() protoreflect.Message
func (*ListDataLabelingJobsRequest) Reset
func (x *ListDataLabelingJobsRequest) Reset()
func (*ListDataLabelingJobsRequest) String
func (x *ListDataLabelingJobsRequest) String() string
ListDataLabelingJobsResponse
type ListDataLabelingJobsResponse struct {
// A list of DataLabelingJobs that matches the specified filter in the
// request.
DataLabelingJobs []*DataLabelingJob `protobuf:"bytes,1,rep,name=data_labeling_jobs,json=dataLabelingJobs,proto3" json:"data_labeling_jobs,omitempty"`
// The standard List next-page token.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
func (*ListDataLabelingJobsResponse) Descriptor
func (*ListDataLabelingJobsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListDataLabelingJobsResponse.ProtoReflect.Descriptor instead.
func (*ListDataLabelingJobsResponse) GetDataLabelingJobs
func (x *ListDataLabelingJobsResponse) GetDataLabelingJobs() []*DataLabelingJob
func (*ListDataLabelingJobsResponse) GetNextPageToken
func (x *ListDataLabelingJobsResponse) GetNextPageToken() string
func (*ListDataLabelingJobsResponse) ProtoMessage
func (*ListDataLabelingJobsResponse) ProtoMessage()
func (*ListDataLabelingJobsResponse) ProtoReflect
func (x *ListDataLabelingJobsResponse) ProtoReflect() protoreflect.Message
func (*ListDataLabelingJobsResponse) Reset
func (x *ListDataLabelingJobsResponse) Reset()
func (*ListDataLabelingJobsResponse) String
func (x *ListDataLabelingJobsResponse) String() string
ListDatasetsRequest
type ListDatasetsRequest struct {
// Required. The name of the Dataset's parent resource.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// An expression for filtering the results of the request. For field names
// both snake_case and camelCase are supported.
//
// * `display_name`: supports = and !=
// * `metadata_schema_uri`: supports = and !=
// * `labels` supports general map functions that is:
// * `labels.key=value` - key:value equality
// * `labels.key:* or labels:key - key existence
// * A key including a space must be quoted. `labels."a key"`.
//
// Some examples:
//
// * `displayName="myDisplayName"`
// * `labels.myKey="myValue"`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
// Supported fields:
//
// * `display_name`
// * `create_time`
// * `update_time`
OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
func (*ListDatasetsRequest) Descriptor
func (*ListDatasetsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListDatasetsRequest.ProtoReflect.Descriptor instead.
func (*ListDatasetsRequest) GetFilter
func (x *ListDatasetsRequest) GetFilter() string
func (*ListDatasetsRequest) GetOrderBy
func (x *ListDatasetsRequest) GetOrderBy() string
func (*ListDatasetsRequest) GetPageSize
func (x *ListDatasetsRequest) GetPageSize() int32
func (*ListDatasetsRequest) GetPageToken
func (x *ListDatasetsRequest) GetPageToken() string
func (*ListDatasetsRequest) GetParent
func (x *ListDatasetsRequest) GetParent() string
func (*ListDatasetsRequest) GetReadMask
func (x *ListDatasetsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListDatasetsRequest) ProtoMessage
func (*ListDatasetsRequest) ProtoMessage()
func (*ListDatasetsRequest) ProtoReflect
func (x *ListDatasetsRequest) ProtoReflect() protoreflect.Message
func (*ListDatasetsRequest) Reset
func (x *ListDatasetsRequest) Reset()
func (*ListDatasetsRequest) String
func (x *ListDatasetsRequest) String() string
ListDatasetsResponse
type ListDatasetsResponse struct {
// A list of Datasets that matches the specified filter in the request.
Datasets []*Dataset `protobuf:"bytes,1,rep,name=datasets,proto3" json:"datasets,omitempty"`
// The standard List next-page token.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
func (*ListDatasetsResponse) Descriptor
func (*ListDatasetsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListDatasetsResponse.ProtoReflect.Descriptor instead.
func (*ListDatasetsResponse) GetDatasets
func (x *ListDatasetsResponse) GetDatasets() []*Dataset
func (*ListDatasetsResponse) GetNextPageToken
func (x *ListDatasetsResponse) GetNextPageToken() string
func (*ListDatasetsResponse) ProtoMessage
func (*ListDatasetsResponse) ProtoMessage()
func (*ListDatasetsResponse) ProtoReflect
func (x *ListDatasetsResponse) ProtoReflect() protoreflect.Message
func (*ListDatasetsResponse) Reset
func (x *ListDatasetsResponse) Reset()
func (*ListDatasetsResponse) String
func (x *ListDatasetsResponse) String() string
ListEndpointsRequest
type ListEndpointsRequest struct {
// Required. The resource name of the Location from which to list the
// Endpoints. Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Optional. An expression for filtering the results of the request. For field
// names both snake_case and camelCase are supported.
//
// * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
// i.e. the last segment of the Endpoint's [resource
// name][google.cloud.aiplatform.v1.Endpoint.name].
// * `display_name` supports = and, !=
// * `labels` supports general map functions that is:
// * `labels.key=value` - key:value equality
// * `labels.key:* or labels:key - key existence
// * A key including a space must be quoted. `labels."a key"`.
//
// Some examples:
// * `endpoint=1`
// * `displayName="myDisplayName"`
// * `labels.myKey="myValue"`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// Optional. The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// Optional. The standard list page token.
// Typically obtained via
// [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListEndpointsResponse.next_page_token]
// of the previous
// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Optional. Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
// Supported fields:
// * `display_name`
// * `create_time`
// * `update_time`
//
// Example: `display_name, create_time desc`.
OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// contains filtered or unexported fields
}
Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
func (*ListEndpointsRequest) Descriptor
func (*ListEndpointsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListEndpointsRequest.ProtoReflect.Descriptor instead.
func (*ListEndpointsRequest) GetFilter
func (x *ListEndpointsRequest) GetFilter() string
func (*ListEndpointsRequest) GetOrderBy
func (x *ListEndpointsRequest) GetOrderBy() string
func (*ListEndpointsRequest) GetPageSize
func (x *ListEndpointsRequest) GetPageSize() int32
func (*ListEndpointsRequest) GetPageToken
func (x *ListEndpointsRequest) GetPageToken() string
func (*ListEndpointsRequest) GetParent
func (x *ListEndpointsRequest) GetParent() string
func (*ListEndpointsRequest) GetReadMask
func (x *ListEndpointsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListEndpointsRequest) ProtoMessage
func (*ListEndpointsRequest) ProtoMessage()
func (*ListEndpointsRequest) ProtoReflect
func (x *ListEndpointsRequest) ProtoReflect() protoreflect.Message
func (*ListEndpointsRequest) Reset
func (x *ListEndpointsRequest) Reset()
func (*ListEndpointsRequest) String
func (x *ListEndpointsRequest) String() string
ListEndpointsResponse
type ListEndpointsResponse struct {
// List of Endpoints in the requested page.
Endpoints []*Endpoint `protobuf:"bytes,1,rep,name=endpoints,proto3" json:"endpoints,omitempty"`
// A token to retrieve the next page of results.
// Pass to
// [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListEndpointsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
func (*ListEndpointsResponse) Descriptor
func (*ListEndpointsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListEndpointsResponse.ProtoReflect.Descriptor instead.
func (*ListEndpointsResponse) GetEndpoints
func (x *ListEndpointsResponse) GetEndpoints() []*Endpoint
func (*ListEndpointsResponse) GetNextPageToken
func (x *ListEndpointsResponse) GetNextPageToken() string
func (*ListEndpointsResponse) ProtoMessage
func (*ListEndpointsResponse) ProtoMessage()
func (*ListEndpointsResponse) ProtoReflect
func (x *ListEndpointsResponse) ProtoReflect() protoreflect.Message
func (*ListEndpointsResponse) Reset
func (x *ListEndpointsResponse) Reset()
func (*ListEndpointsResponse) String
func (x *ListEndpointsResponse) String() string
ListEntityTypesRequest
type ListEntityTypesRequest struct {
// Required. The resource name of the Featurestore to list EntityTypes.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the EntityTypes that match the filter expression. The following
// filters are supported:
//
// * `create_time`: Supports `=`, `!=`, `<`, `="">`, `>=`, and `<=` comparisons.="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" `update_time`:="" supports="" `="`," `!="`,"><`, `="">`, `>=`, and `<=` comparisons.="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" `labels`:="" supports="" key-value="" equality="" as="" well="" as="" key="" presence.="" examples:="" *="" `create_time=""> \"2020-01-31T15:30:00.000000Z\" OR
// update_time > \"2020-01-31T15:30:00.000000Z\"` --> EntityTypes created
// or updated after 2020-01-31T15:30:00.000000Z.
// * `labels.active = yes AND labels.env = prod` --> EntityTypes having both
// (active: yes) and (env: prod) labels.
// * `labels.env: *` --> Any EntityType which has a label with 'env' as the
// key.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of EntityTypes to return. The service may return fewer
// than this value. If unspecified, at most 1000 EntityTypes will be returned.
// The maximum value is 1000; any value greater than 1000 will be coerced to
// 1000.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]
// must match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
//
// Supported fields:
//
// * `entity_type_id`
// * `create_time`
// * `update_time`
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
func (*ListEntityTypesRequest) Descriptor
func (*ListEntityTypesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListEntityTypesRequest.ProtoReflect.Descriptor instead.
func (*ListEntityTypesRequest) GetFilter
func (x *ListEntityTypesRequest) GetFilter() string
func (*ListEntityTypesRequest) GetOrderBy
func (x *ListEntityTypesRequest) GetOrderBy() string
func (*ListEntityTypesRequest) GetPageSize
func (x *ListEntityTypesRequest) GetPageSize() int32
func (*ListEntityTypesRequest) GetPageToken
func (x *ListEntityTypesRequest) GetPageToken() string
func (*ListEntityTypesRequest) GetParent
func (x *ListEntityTypesRequest) GetParent() string
func (*ListEntityTypesRequest) GetReadMask
func (x *ListEntityTypesRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListEntityTypesRequest) ProtoMessage
func (*ListEntityTypesRequest) ProtoMessage()
func (*ListEntityTypesRequest) ProtoReflect
func (x *ListEntityTypesRequest) ProtoReflect() protoreflect.Message
func (*ListEntityTypesRequest) Reset
func (x *ListEntityTypesRequest) Reset()
func (*ListEntityTypesRequest) String
func (x *ListEntityTypesRequest) String() string
ListEntityTypesResponse
type ListEntityTypesResponse struct {
// The EntityTypes matching the request.
EntityTypes []*EntityType `protobuf:"bytes,1,rep,name=entity_types,json=entityTypes,proto3" json:"entity_types,omitempty"`
// A token, which can be sent as
// [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1.ListEntityTypesRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
func (*ListEntityTypesResponse) Descriptor
func (*ListEntityTypesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListEntityTypesResponse.ProtoReflect.Descriptor instead.
func (*ListEntityTypesResponse) GetEntityTypes
func (x *ListEntityTypesResponse) GetEntityTypes() []*EntityType
func (*ListEntityTypesResponse) GetNextPageToken
func (x *ListEntityTypesResponse) GetNextPageToken() string
func (*ListEntityTypesResponse) ProtoMessage
func (*ListEntityTypesResponse) ProtoMessage()
func (*ListEntityTypesResponse) ProtoReflect
func (x *ListEntityTypesResponse) ProtoReflect() protoreflect.Message
func (*ListEntityTypesResponse) Reset
func (x *ListEntityTypesResponse) Reset()
func (*ListEntityTypesResponse) String
func (x *ListEntityTypesResponse) String() string
ListExecutionsRequest
type ListExecutionsRequest struct {
// Required. The MetadataStore whose Executions should be listed.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The maximum number of Executions to return. The service may return fewer.
// Must be in range 1-1000, inclusive. Defaults to 100.
PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other provided parameters must match the call that
// provided the page token. (Otherwise the request will fail with an
// INVALID_ARGUMENT error.)
PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Filter specifying the boolean condition for the Executions to satisfy in
// order to be part of the result set.
// The syntax to define filter query is based on https://google.aip.dev/160.
// Following are the supported set of filters:
//
// * **Attribute filtering**:
// For example: `display_name = "test"`.
// Supported fields include: `name`, `display_name`, `state`,
// `schema_title`, `create_time`, and `update_time`.
// Time fields, such as `create_time` and `update_time`, require values
// specified in RFC-3339 format.
// For example: `create_time = "2020-11-19T11:30:00-04:00"`.
// * **Metadata field**:
// To filter on metadata fields use traversal operation as follows:
// `metadata.
Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
func (*ListExecutionsRequest) Descriptor
func (*ListExecutionsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListExecutionsRequest.ProtoReflect.Descriptor instead.
func (*ListExecutionsRequest) GetFilter
func (x *ListExecutionsRequest) GetFilter() string
func (*ListExecutionsRequest) GetOrderBy
func (x *ListExecutionsRequest) GetOrderBy() string
func (*ListExecutionsRequest) GetPageSize
func (x *ListExecutionsRequest) GetPageSize() int32
func (*ListExecutionsRequest) GetPageToken
func (x *ListExecutionsRequest) GetPageToken() string
func (*ListExecutionsRequest) GetParent
func (x *ListExecutionsRequest) GetParent() string
func (*ListExecutionsRequest) ProtoMessage
func (*ListExecutionsRequest) ProtoMessage()
func (*ListExecutionsRequest) ProtoReflect
func (x *ListExecutionsRequest) ProtoReflect() protoreflect.Message
func (*ListExecutionsRequest) Reset
func (x *ListExecutionsRequest) Reset()
func (*ListExecutionsRequest) String
func (x *ListExecutionsRequest) String() string
ListExecutionsResponse
type ListExecutionsResponse struct {
// The Executions retrieved from the MetadataStore.
Executions []*Execution `protobuf:"bytes,1,rep,name=executions,proto3" json:"executions,omitempty"`
// A token, which can be sent as
// [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1.ListExecutionsRequest.page_token]
// to retrieve the next page.
// If this field is not populated, there are no subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
func (*ListExecutionsResponse) Descriptor
func (*ListExecutionsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListExecutionsResponse.ProtoReflect.Descriptor instead.
func (*ListExecutionsResponse) GetExecutions
func (x *ListExecutionsResponse) GetExecutions() []*Execution
func (*ListExecutionsResponse) GetNextPageToken
func (x *ListExecutionsResponse) GetNextPageToken() string
func (*ListExecutionsResponse) ProtoMessage
func (*ListExecutionsResponse) ProtoMessage()
func (*ListExecutionsResponse) ProtoReflect
func (x *ListExecutionsResponse) ProtoReflect() protoreflect.Message
func (*ListExecutionsResponse) Reset
func (x *ListExecutionsResponse) Reset()
func (*ListExecutionsResponse) String
func (x *ListExecutionsResponse) String() string
ListFeaturesRequest
type ListFeaturesRequest struct {
// Required. The resource name of the Location to list Features.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the Features that match the filter expression. The following
// filters are supported:
//
// * `value_type`: Supports = and != comparisons.
// * `create_time`: Supports =, !=, <,>, >=, and <= comparisons.="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" `update_time`:="" supports="," !=","><,>, >=, and <= comparisons.="" values="" must="" be="" in="" rfc="" 3339="" format.="" *="" `labels`:="" supports="" key-value="" equality="" as="" well="" as="" key="" presence.="" examples:="" *="" `value_type="DOUBLE`" --=""> Features whose type is DOUBLE.
// * `create_time > \"2020-01-31T15:30:00.000000Z\" OR
// update_time > \"2020-01-31T15:30:00.000000Z\"` --> EntityTypes created
// or updated after 2020-01-31T15:30:00.000000Z.
// * `labels.active = yes AND labels.env = prod` --> Features having both
// (active: yes) and (env: prod) labels.
// * `labels.env: *` --> Any Feature which has a label with 'env' as the
// key.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of Features to return. The service may return fewer
// than this value. If unspecified, at most 1000 Features will be returned.
// The maximum value is 1000; any value greater than 1000 will be coerced to
// 1000.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]
// must match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
// Supported fields:
//
// * `feature_id`
// * `value_type`
// * `create_time`
// * `update_time`
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// If set, return the most recent
// [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1.ListFeaturesRequest.latest_stats_count]
// of stats for each Feature in response. Valid value is [0, 10]. If number of
// stats exists < [listfeaturesrequest.latest_stats_count][google.cloud.aiplatform.v1.listfeaturesrequest.latest_stats_count],="" return="" all="" existing="" stats.="" lateststatscount="">int32 `protobuf:"varint,7,opt,name=latest_stats_count,json=latestStatsCount,proto3" json:"latest_stats_count,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
func (*ListFeaturesRequest) Descriptor
func (*ListFeaturesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListFeaturesRequest.ProtoReflect.Descriptor instead.
func (*ListFeaturesRequest) GetFilter
func (x *ListFeaturesRequest) GetFilter() string
func (*ListFeaturesRequest) GetLatestStatsCount
func (x *ListFeaturesRequest) GetLatestStatsCount() int32
func (*ListFeaturesRequest) GetOrderBy
func (x *ListFeaturesRequest) GetOrderBy() string
func (*ListFeaturesRequest) GetPageSize
func (x *ListFeaturesRequest) GetPageSize() int32
func (*ListFeaturesRequest) GetPageToken
func (x *ListFeaturesRequest) GetPageToken() string
func (*ListFeaturesRequest) GetParent
func (x *ListFeaturesRequest) GetParent() string
func (*ListFeaturesRequest) GetReadMask
func (x *ListFeaturesRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListFeaturesRequest) ProtoMessage
func (*ListFeaturesRequest) ProtoMessage()
func (*ListFeaturesRequest) ProtoReflect
func (x *ListFeaturesRequest) ProtoReflect() protoreflect.Message
func (*ListFeaturesRequest) Reset
func (x *ListFeaturesRequest) Reset()
func (*ListFeaturesRequest) String
func (x *ListFeaturesRequest) String() string
ListFeaturesResponse
type ListFeaturesResponse struct {
// The Features matching the request.
Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
// A token, which can be sent as
// [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1.ListFeaturesRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
func (*ListFeaturesResponse) Descriptor
func (*ListFeaturesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListFeaturesResponse.ProtoReflect.Descriptor instead.
func (*ListFeaturesResponse) GetFeatures
func (x *ListFeaturesResponse) GetFeatures() []*Feature
func (*ListFeaturesResponse) GetNextPageToken
func (x *ListFeaturesResponse) GetNextPageToken() string
func (*ListFeaturesResponse) ProtoMessage
func (*ListFeaturesResponse) ProtoMessage()
func (*ListFeaturesResponse) ProtoReflect
func (x *ListFeaturesResponse) ProtoReflect() protoreflect.Message
func (*ListFeaturesResponse) Reset
func (x *ListFeaturesResponse) Reset()
func (*ListFeaturesResponse) String
func (x *ListFeaturesResponse) String() string
ListFeaturestoresRequest
type ListFeaturestoresRequest struct {
// Required. The resource name of the Location to list Featurestores.
// Format:
// `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the featurestores that match the filter expression. The following
// fields are supported:
//
// * `create_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
// Values must be
// in RFC 3339 format.
// * `update_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
// Values must be
// in RFC 3339 format.
// * `online_serving_config.fixed_node_count`: Supports `=`, `!=`, `<`, `="">`,
// `<=`, and="" `="">=` comparisons.
// * `labels`: Supports key-value equality and key presence.
//
// Examples:
//
// * `create_time > "2020-01-01" OR update_time > "2020-01-01"`
// Featurestores created or updated after 2020-01-01.
// * `labels.env = "prod"`
// Featurestores with label "env" set to "prod".
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of Featurestores to return. The service may return fewer
// than this value. If unspecified, at most 100 Featurestores will be
// returned. The maximum value is 100; any value greater than 100 will be
// coerced to 100.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]
// must match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
// Supported Fields:
//
// * `create_time`
// * `update_time`
// * `online_serving_config.fixed_node_count`
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
func (*ListFeaturestoresRequest) Descriptor
func (*ListFeaturestoresRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListFeaturestoresRequest.ProtoReflect.Descriptor instead.
func (*ListFeaturestoresRequest) GetFilter
func (x *ListFeaturestoresRequest) GetFilter() string
func (*ListFeaturestoresRequest) GetOrderBy
func (x *ListFeaturestoresRequest) GetOrderBy() string
func (*ListFeaturestoresRequest) GetPageSize
func (x *ListFeaturestoresRequest) GetPageSize() int32
func (*ListFeaturestoresRequest) GetPageToken
func (x *ListFeaturestoresRequest) GetPageToken() string
func (*ListFeaturestoresRequest) GetParent
func (x *ListFeaturestoresRequest) GetParent() string
func (*ListFeaturestoresRequest) GetReadMask
func (x *ListFeaturestoresRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListFeaturestoresRequest) ProtoMessage
func (*ListFeaturestoresRequest) ProtoMessage()
func (*ListFeaturestoresRequest) ProtoReflect
func (x *ListFeaturestoresRequest) ProtoReflect() protoreflect.Message
func (*ListFeaturestoresRequest) Reset
func (x *ListFeaturestoresRequest) Reset()
func (*ListFeaturestoresRequest) String
func (x *ListFeaturestoresRequest) String() string
ListFeaturestoresResponse
type ListFeaturestoresResponse struct {
// The Featurestores matching the request.
Featurestores []*Featurestore `protobuf:"bytes,1,rep,name=featurestores,proto3" json:"featurestores,omitempty"`
// A token, which can be sent as
// [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1.ListFeaturestoresRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
func (*ListFeaturestoresResponse) Descriptor
func (*ListFeaturestoresResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListFeaturestoresResponse.ProtoReflect.Descriptor instead.
func (*ListFeaturestoresResponse) GetFeaturestores
func (x *ListFeaturestoresResponse) GetFeaturestores() []*Featurestore
func (*ListFeaturestoresResponse) GetNextPageToken
func (x *ListFeaturestoresResponse) GetNextPageToken() string
func (*ListFeaturestoresResponse) ProtoMessage
func (*ListFeaturestoresResponse) ProtoMessage()
func (*ListFeaturestoresResponse) ProtoReflect
func (x *ListFeaturestoresResponse) ProtoReflect() protoreflect.Message
func (*ListFeaturestoresResponse) Reset
func (x *ListFeaturestoresResponse) Reset()
func (*ListFeaturestoresResponse) String
func (x *ListFeaturestoresResponse) String() string
ListHyperparameterTuningJobsRequest
type ListHyperparameterTuningJobsRequest struct {
// Required. The resource name of the Location to list the
// HyperparameterTuningJobs from. Format:
// `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
//
// Supported fields:
//
// * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
// * `state` supports `=`, `!=` comparisons.
// * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
// `create_time` must be in RFC 3339 format.
// * `labels` supports general map functions that is:
// `labels.key=value` - key:value equality
// `labels.key:* - key existence
//
// Some examples of using the filter are:
//
// * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
// * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
// * `NOT display_name="my_job"`
// * `create_time>"2021-05-18T00:00:00Z"`
// * `labels.keyA=valueA`
// * `labels.keyB:*`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token]
// of the previous
// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
func (*ListHyperparameterTuningJobsRequest) Descriptor
func (*ListHyperparameterTuningJobsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListHyperparameterTuningJobsRequest.ProtoReflect.Descriptor instead.
func (*ListHyperparameterTuningJobsRequest) GetFilter
func (x *ListHyperparameterTuningJobsRequest) GetFilter() string
func (*ListHyperparameterTuningJobsRequest) GetPageSize
func (x *ListHyperparameterTuningJobsRequest) GetPageSize() int32
func (*ListHyperparameterTuningJobsRequest) GetPageToken
func (x *ListHyperparameterTuningJobsRequest) GetPageToken() string
func (*ListHyperparameterTuningJobsRequest) GetParent
func (x *ListHyperparameterTuningJobsRequest) GetParent() string
func (*ListHyperparameterTuningJobsRequest) GetReadMask
func (x *ListHyperparameterTuningJobsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListHyperparameterTuningJobsRequest) ProtoMessage
func (*ListHyperparameterTuningJobsRequest) ProtoMessage()
func (*ListHyperparameterTuningJobsRequest) ProtoReflect
func (x *ListHyperparameterTuningJobsRequest) ProtoReflect() protoreflect.Message
func (*ListHyperparameterTuningJobsRequest) Reset
func (x *ListHyperparameterTuningJobsRequest) Reset()
func (*ListHyperparameterTuningJobsRequest) String
func (x *ListHyperparameterTuningJobsRequest) String() string
ListHyperparameterTuningJobsResponse
type ListHyperparameterTuningJobsResponse struct {
HyperparameterTuningJobs []*HyperparameterTuningJob "" /* 135 byte string literal not displayed */
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}
Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
func (*ListHyperparameterTuningJobsResponse) Descriptor
func (*ListHyperparameterTuningJobsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListHyperparameterTuningJobsResponse.ProtoReflect.Descriptor instead.
func (*ListHyperparameterTuningJobsResponse) GetHyperparameterTuningJobs
func (x *ListHyperparameterTuningJobsResponse) GetHyperparameterTuningJobs() []*HyperparameterTuningJob
func (*ListHyperparameterTuningJobsResponse) GetNextPageToken
func (x *ListHyperparameterTuningJobsResponse) GetNextPageToken() string
func (*ListHyperparameterTuningJobsResponse) ProtoMessage
func (*ListHyperparameterTuningJobsResponse) ProtoMessage()
func (*ListHyperparameterTuningJobsResponse) ProtoReflect
func (x *ListHyperparameterTuningJobsResponse) ProtoReflect() protoreflect.Message
func (*ListHyperparameterTuningJobsResponse) Reset
func (x *ListHyperparameterTuningJobsResponse) Reset()
func (*ListHyperparameterTuningJobsResponse) String
func (x *ListHyperparameterTuningJobsResponse) String() string
ListIndexEndpointsRequest
type ListIndexEndpointsRequest struct {
// Required. The resource name of the Location from which to list the
// IndexEndpoints. Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Optional. An expression for filtering the results of the request. For field
// names both snake_case and camelCase are supported.
//
// * `index_endpoint` supports = and !=. `index_endpoint` represents the
// IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
// [resourcename][google.cloud.aiplatform.v1.IndexEndpoint.name].
// * `display_name` supports =, != and regex()
// (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
// * `labels` supports general map functions that is:
// `labels.key=value` - key:value equality
// `labels.key:* or labels:key - key existence
// A key including a space must be quoted. `labels."a key"`.
//
// Some examples:
// * `index_endpoint="1"`
// * `display_name="myDisplayName"`
// * `regex(display_name, "^A") -> The display name starts with an A.
// * `labels.myKey="myValue"`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// Optional. The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// Optional. The standard list page token.
// Typically obtained via
// [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexEndpointsResponse.next_page_token]
// of the previous
// [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Optional. Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
func (*ListIndexEndpointsRequest) Descriptor
func (*ListIndexEndpointsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListIndexEndpointsRequest.ProtoReflect.Descriptor instead.
func (*ListIndexEndpointsRequest) GetFilter
func (x *ListIndexEndpointsRequest) GetFilter() string
func (*ListIndexEndpointsRequest) GetPageSize
func (x *ListIndexEndpointsRequest) GetPageSize() int32
func (*ListIndexEndpointsRequest) GetPageToken
func (x *ListIndexEndpointsRequest) GetPageToken() string
func (*ListIndexEndpointsRequest) GetParent
func (x *ListIndexEndpointsRequest) GetParent() string
func (*ListIndexEndpointsRequest) GetReadMask
func (x *ListIndexEndpointsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListIndexEndpointsRequest) ProtoMessage
func (*ListIndexEndpointsRequest) ProtoMessage()
func (*ListIndexEndpointsRequest) ProtoReflect
func (x *ListIndexEndpointsRequest) ProtoReflect() protoreflect.Message
func (*ListIndexEndpointsRequest) Reset
func (x *ListIndexEndpointsRequest) Reset()
func (*ListIndexEndpointsRequest) String
func (x *ListIndexEndpointsRequest) String() string
ListIndexEndpointsResponse
type ListIndexEndpointsResponse struct {
// List of IndexEndpoints in the requested page.
IndexEndpoints []*IndexEndpoint `protobuf:"bytes,1,rep,name=index_endpoints,json=indexEndpoints,proto3" json:"index_endpoints,omitempty"`
// A token to retrieve next page of results.
// Pass to
// [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1.ListIndexEndpointsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
func (*ListIndexEndpointsResponse) Descriptor
func (*ListIndexEndpointsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListIndexEndpointsResponse.ProtoReflect.Descriptor instead.
func (*ListIndexEndpointsResponse) GetIndexEndpoints
func (x *ListIndexEndpointsResponse) GetIndexEndpoints() []*IndexEndpoint
func (*ListIndexEndpointsResponse) GetNextPageToken
func (x *ListIndexEndpointsResponse) GetNextPageToken() string
func (*ListIndexEndpointsResponse) ProtoMessage
func (*ListIndexEndpointsResponse) ProtoMessage()
func (*ListIndexEndpointsResponse) ProtoReflect
func (x *ListIndexEndpointsResponse) ProtoReflect() protoreflect.Message
func (*ListIndexEndpointsResponse) Reset
func (x *ListIndexEndpointsResponse) Reset()
func (*ListIndexEndpointsResponse) String
func (x *ListIndexEndpointsResponse) String() string
ListIndexesRequest
type ListIndexesRequest struct {
// Required. The resource name of the Location from which to list the Indexes.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1.ListIndexesResponse.next_page_token]
// of the previous
// [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
func (*ListIndexesRequest) Descriptor
func (*ListIndexesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListIndexesRequest.ProtoReflect.Descriptor instead.
func (*ListIndexesRequest) GetFilter
func (x *ListIndexesRequest) GetFilter() string
func (*ListIndexesRequest) GetPageSize
func (x *ListIndexesRequest) GetPageSize() int32
func (*ListIndexesRequest) GetPageToken
func (x *ListIndexesRequest) GetPageToken() string
func (*ListIndexesRequest) GetParent
func (x *ListIndexesRequest) GetParent() string
func (*ListIndexesRequest) GetReadMask
func (x *ListIndexesRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListIndexesRequest) ProtoMessage
func (*ListIndexesRequest) ProtoMessage()
func (*ListIndexesRequest) ProtoReflect
func (x *ListIndexesRequest) ProtoReflect() protoreflect.Message
func (*ListIndexesRequest) Reset
func (x *ListIndexesRequest) Reset()
func (*ListIndexesRequest) String
func (x *ListIndexesRequest) String() string
ListIndexesResponse
type ListIndexesResponse struct {
// List of indexes in the requested page.
Indexes []*Index `protobuf:"bytes,1,rep,name=indexes,proto3" json:"indexes,omitempty"`
// A token to retrieve next page of results.
// Pass to
// [ListIndexesRequest.page_token][google.cloud.aiplatform.v1.ListIndexesRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
func (*ListIndexesResponse) Descriptor
func (*ListIndexesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListIndexesResponse.ProtoReflect.Descriptor instead.
func (*ListIndexesResponse) GetIndexes
func (x *ListIndexesResponse) GetIndexes() []*Index
func (*ListIndexesResponse) GetNextPageToken
func (x *ListIndexesResponse) GetNextPageToken() string
func (*ListIndexesResponse) ProtoMessage
func (*ListIndexesResponse) ProtoMessage()
func (*ListIndexesResponse) ProtoReflect
func (x *ListIndexesResponse) ProtoReflect() protoreflect.Message
func (*ListIndexesResponse) Reset
func (x *ListIndexesResponse) Reset()
func (*ListIndexesResponse) String
func (x *ListIndexesResponse) String() string
ListMetadataSchemasRequest
type ListMetadataSchemasRequest struct {
// Required. The MetadataStore whose MetadataSchemas should be listed.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The maximum number of MetadataSchemas to return. The service may return
// fewer.
// Must be in range 1-1000, inclusive. Defaults to 100.
PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]
// call. Provide this to retrieve the next page.
//
// When paginating, all other provided parameters must match the call that
// provided the page token. (Otherwise the request will fail with
// INVALID_ARGUMENT error.)
PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// A query to filter available MetadataSchemas for matching results.
Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
func (*ListMetadataSchemasRequest) Descriptor
func (*ListMetadataSchemasRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListMetadataSchemasRequest.ProtoReflect.Descriptor instead.
func (*ListMetadataSchemasRequest) GetFilter
func (x *ListMetadataSchemasRequest) GetFilter() string
func (*ListMetadataSchemasRequest) GetPageSize
func (x *ListMetadataSchemasRequest) GetPageSize() int32
func (*ListMetadataSchemasRequest) GetPageToken
func (x *ListMetadataSchemasRequest) GetPageToken() string
func (*ListMetadataSchemasRequest) GetParent
func (x *ListMetadataSchemasRequest) GetParent() string
func (*ListMetadataSchemasRequest) ProtoMessage
func (*ListMetadataSchemasRequest) ProtoMessage()
func (*ListMetadataSchemasRequest) ProtoReflect
func (x *ListMetadataSchemasRequest) ProtoReflect() protoreflect.Message
func (*ListMetadataSchemasRequest) Reset
func (x *ListMetadataSchemasRequest) Reset()
func (*ListMetadataSchemasRequest) String
func (x *ListMetadataSchemasRequest) String() string
ListMetadataSchemasResponse
type ListMetadataSchemasResponse struct {
// The MetadataSchemas found for the MetadataStore.
MetadataSchemas []*MetadataSchema `protobuf:"bytes,1,rep,name=metadata_schemas,json=metadataSchemas,proto3" json:"metadata_schemas,omitempty"`
// A token, which can be sent as
// [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1.ListMetadataSchemasRequest.page_token]
// to retrieve the next page. If this field is not populated, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
func (*ListMetadataSchemasResponse) Descriptor
func (*ListMetadataSchemasResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListMetadataSchemasResponse.ProtoReflect.Descriptor instead.
func (*ListMetadataSchemasResponse) GetMetadataSchemas
func (x *ListMetadataSchemasResponse) GetMetadataSchemas() []*MetadataSchema
func (*ListMetadataSchemasResponse) GetNextPageToken
func (x *ListMetadataSchemasResponse) GetNextPageToken() string
func (*ListMetadataSchemasResponse) ProtoMessage
func (*ListMetadataSchemasResponse) ProtoMessage()
func (*ListMetadataSchemasResponse) ProtoReflect
func (x *ListMetadataSchemasResponse) ProtoReflect() protoreflect.Message
func (*ListMetadataSchemasResponse) Reset
func (x *ListMetadataSchemasResponse) Reset()
func (*ListMetadataSchemasResponse) String
func (x *ListMetadataSchemasResponse) String() string
ListMetadataStoresRequest
type ListMetadataStoresRequest struct {
// Required. The Location whose MetadataStores should be listed.
// Format:
// `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The maximum number of Metadata Stores to return. The service may return
// fewer.
// Must be in range 1-1000, inclusive. Defaults to 100.
PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other provided parameters must match the call that
// provided the page token. (Otherwise the request will fail with
// INVALID_ARGUMENT error.)
PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
func (*ListMetadataStoresRequest) Descriptor
func (*ListMetadataStoresRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListMetadataStoresRequest.ProtoReflect.Descriptor instead.
func (*ListMetadataStoresRequest) GetPageSize
func (x *ListMetadataStoresRequest) GetPageSize() int32
func (*ListMetadataStoresRequest) GetPageToken
func (x *ListMetadataStoresRequest) GetPageToken() string
func (*ListMetadataStoresRequest) GetParent
func (x *ListMetadataStoresRequest) GetParent() string
func (*ListMetadataStoresRequest) ProtoMessage
func (*ListMetadataStoresRequest) ProtoMessage()
func (*ListMetadataStoresRequest) ProtoReflect
func (x *ListMetadataStoresRequest) ProtoReflect() protoreflect.Message
func (*ListMetadataStoresRequest) Reset
func (x *ListMetadataStoresRequest) Reset()
func (*ListMetadataStoresRequest) String
func (x *ListMetadataStoresRequest) String() string
ListMetadataStoresResponse
type ListMetadataStoresResponse struct {
// The MetadataStores found for the Location.
MetadataStores []*MetadataStore `protobuf:"bytes,1,rep,name=metadata_stores,json=metadataStores,proto3" json:"metadata_stores,omitempty"`
// A token, which can be sent as
// [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1.ListMetadataStoresRequest.page_token]
// to retrieve the next page. If this field is not populated, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
func (*ListMetadataStoresResponse) Descriptor
func (*ListMetadataStoresResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListMetadataStoresResponse.ProtoReflect.Descriptor instead.
func (*ListMetadataStoresResponse) GetMetadataStores
func (x *ListMetadataStoresResponse) GetMetadataStores() []*MetadataStore
func (*ListMetadataStoresResponse) GetNextPageToken
func (x *ListMetadataStoresResponse) GetNextPageToken() string
func (*ListMetadataStoresResponse) ProtoMessage
func (*ListMetadataStoresResponse) ProtoMessage()
func (*ListMetadataStoresResponse) ProtoReflect
func (x *ListMetadataStoresResponse) ProtoReflect() protoreflect.Message
func (*ListMetadataStoresResponse) Reset
func (x *ListMetadataStoresResponse) Reset()
func (*ListMetadataStoresResponse) String
func (x *ListMetadataStoresResponse) String() string
ListModelDeploymentMonitoringJobsRequest
type ListModelDeploymentMonitoringJobsRequest struct {
// Required. The parent of the ModelDeploymentMonitoringJob.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
//
// Supported fields:
//
// * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
// * `state` supports `=`, `!=` comparisons.
// * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
// `create_time` must be in RFC 3339 format.
// * `labels` supports general map functions that is:
// `labels.key=value` - key:value equality
// `labels.key:* - key existence
//
// Some examples of using the filter are:
//
// * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
// * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
// * `NOT display_name="my_job"`
// * `create_time>"2021-05-18T00:00:00Z"`
// * `labels.keyA=valueA`
// * `labels.keyB:*`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
func (*ListModelDeploymentMonitoringJobsRequest) Descriptor
func (*ListModelDeploymentMonitoringJobsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListModelDeploymentMonitoringJobsRequest.ProtoReflect.Descriptor instead.
func (*ListModelDeploymentMonitoringJobsRequest) GetFilter
func (x *ListModelDeploymentMonitoringJobsRequest) GetFilter() string
func (*ListModelDeploymentMonitoringJobsRequest) GetPageSize
func (x *ListModelDeploymentMonitoringJobsRequest) GetPageSize() int32
func (*ListModelDeploymentMonitoringJobsRequest) GetPageToken
func (x *ListModelDeploymentMonitoringJobsRequest) GetPageToken() string
func (*ListModelDeploymentMonitoringJobsRequest) GetParent
func (x *ListModelDeploymentMonitoringJobsRequest) GetParent() string
func (*ListModelDeploymentMonitoringJobsRequest) GetReadMask
func (x *ListModelDeploymentMonitoringJobsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListModelDeploymentMonitoringJobsRequest) ProtoMessage
func (*ListModelDeploymentMonitoringJobsRequest) ProtoMessage()
func (*ListModelDeploymentMonitoringJobsRequest) ProtoReflect
func (x *ListModelDeploymentMonitoringJobsRequest) ProtoReflect() protoreflect.Message
func (*ListModelDeploymentMonitoringJobsRequest) Reset
func (x *ListModelDeploymentMonitoringJobsRequest) Reset()
func (*ListModelDeploymentMonitoringJobsRequest) String
func (x *ListModelDeploymentMonitoringJobsRequest) String() string
ListModelDeploymentMonitoringJobsResponse
type ListModelDeploymentMonitoringJobsResponse struct {
ModelDeploymentMonitoringJobs []*ModelDeploymentMonitoringJob "" /* 152 byte string literal not displayed */
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}
Response message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
func (*ListModelDeploymentMonitoringJobsResponse) Descriptor
func (*ListModelDeploymentMonitoringJobsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListModelDeploymentMonitoringJobsResponse.ProtoReflect.Descriptor instead.
func (*ListModelDeploymentMonitoringJobsResponse) GetModelDeploymentMonitoringJobs
func (x *ListModelDeploymentMonitoringJobsResponse) GetModelDeploymentMonitoringJobs() []*ModelDeploymentMonitoringJob
func (*ListModelDeploymentMonitoringJobsResponse) GetNextPageToken
func (x *ListModelDeploymentMonitoringJobsResponse) GetNextPageToken() string
func (*ListModelDeploymentMonitoringJobsResponse) ProtoMessage
func (*ListModelDeploymentMonitoringJobsResponse) ProtoMessage()
func (*ListModelDeploymentMonitoringJobsResponse) ProtoReflect
func (x *ListModelDeploymentMonitoringJobsResponse) ProtoReflect() protoreflect.Message
func (*ListModelDeploymentMonitoringJobsResponse) Reset
func (x *ListModelDeploymentMonitoringJobsResponse) Reset()
func (*ListModelDeploymentMonitoringJobsResponse) String
func (x *ListModelDeploymentMonitoringJobsResponse) String() string
ListModelEvaluationSlicesRequest
type ListModelEvaluationSlicesRequest struct {
// Required. The resource name of the ModelEvaluation to list the
// ModelEvaluationSlices from. Format:
// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
//
// * `slice.dimension` - for =.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token]
// of the previous
// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
func (*ListModelEvaluationSlicesRequest) Descriptor
func (*ListModelEvaluationSlicesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListModelEvaluationSlicesRequest.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationSlicesRequest) GetFilter
func (x *ListModelEvaluationSlicesRequest) GetFilter() string
func (*ListModelEvaluationSlicesRequest) GetPageSize
func (x *ListModelEvaluationSlicesRequest) GetPageSize() int32
func (*ListModelEvaluationSlicesRequest) GetPageToken
func (x *ListModelEvaluationSlicesRequest) GetPageToken() string
func (*ListModelEvaluationSlicesRequest) GetParent
func (x *ListModelEvaluationSlicesRequest) GetParent() string
func (*ListModelEvaluationSlicesRequest) GetReadMask
func (x *ListModelEvaluationSlicesRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListModelEvaluationSlicesRequest) ProtoMessage
func (*ListModelEvaluationSlicesRequest) ProtoMessage()
func (*ListModelEvaluationSlicesRequest) ProtoReflect
func (x *ListModelEvaluationSlicesRequest) ProtoReflect() protoreflect.Message
func (*ListModelEvaluationSlicesRequest) Reset
func (x *ListModelEvaluationSlicesRequest) Reset()
func (*ListModelEvaluationSlicesRequest) String
func (x *ListModelEvaluationSlicesRequest) String() string
ListModelEvaluationSlicesResponse
type ListModelEvaluationSlicesResponse struct {
// List of ModelEvaluations in the requested page.
ModelEvaluationSlices []*ModelEvaluationSlice `protobuf:"bytes,1,rep,name=model_evaluation_slices,json=modelEvaluationSlices,proto3" json:"model_evaluation_slices,omitempty"`
// A token to retrieve next page of results.
// Pass to
// [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
func (*ListModelEvaluationSlicesResponse) Descriptor
func (*ListModelEvaluationSlicesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListModelEvaluationSlicesResponse.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationSlicesResponse) GetModelEvaluationSlices
func (x *ListModelEvaluationSlicesResponse) GetModelEvaluationSlices() []*ModelEvaluationSlice
func (*ListModelEvaluationSlicesResponse) GetNextPageToken
func (x *ListModelEvaluationSlicesResponse) GetNextPageToken() string
func (*ListModelEvaluationSlicesResponse) ProtoMessage
func (*ListModelEvaluationSlicesResponse) ProtoMessage()
func (*ListModelEvaluationSlicesResponse) ProtoReflect
func (x *ListModelEvaluationSlicesResponse) ProtoReflect() protoreflect.Message
func (*ListModelEvaluationSlicesResponse) Reset
func (x *ListModelEvaluationSlicesResponse) Reset()
func (*ListModelEvaluationSlicesResponse) String
func (x *ListModelEvaluationSlicesResponse) String() string
ListModelEvaluationsRequest
type ListModelEvaluationsRequest struct {
// Required. The resource name of the Model to list the ModelEvaluations from.
// Format: `projects/{project}/locations/{location}/models/{model}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token]
// of the previous
// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
func (*ListModelEvaluationsRequest) Descriptor
func (*ListModelEvaluationsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListModelEvaluationsRequest.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationsRequest) GetFilter
func (x *ListModelEvaluationsRequest) GetFilter() string
func (*ListModelEvaluationsRequest) GetPageSize
func (x *ListModelEvaluationsRequest) GetPageSize() int32
func (*ListModelEvaluationsRequest) GetPageToken
func (x *ListModelEvaluationsRequest) GetPageToken() string
func (*ListModelEvaluationsRequest) GetParent
func (x *ListModelEvaluationsRequest) GetParent() string
func (*ListModelEvaluationsRequest) GetReadMask
func (x *ListModelEvaluationsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListModelEvaluationsRequest) ProtoMessage
func (*ListModelEvaluationsRequest) ProtoMessage()
func (*ListModelEvaluationsRequest) ProtoReflect
func (x *ListModelEvaluationsRequest) ProtoReflect() protoreflect.Message
func (*ListModelEvaluationsRequest) Reset
func (x *ListModelEvaluationsRequest) Reset()
func (*ListModelEvaluationsRequest) String
func (x *ListModelEvaluationsRequest) String() string
ListModelEvaluationsResponse
type ListModelEvaluationsResponse struct {
// List of ModelEvaluations in the requested page.
ModelEvaluations []*ModelEvaluation `protobuf:"bytes,1,rep,name=model_evaluations,json=modelEvaluations,proto3" json:"model_evaluations,omitempty"`
// A token to retrieve next page of results.
// Pass to
// [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
func (*ListModelEvaluationsResponse) Descriptor
func (*ListModelEvaluationsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListModelEvaluationsResponse.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationsResponse) GetModelEvaluations
func (x *ListModelEvaluationsResponse) GetModelEvaluations() []*ModelEvaluation
func (*ListModelEvaluationsResponse) GetNextPageToken
func (x *ListModelEvaluationsResponse) GetNextPageToken() string
func (*ListModelEvaluationsResponse) ProtoMessage
func (*ListModelEvaluationsResponse) ProtoMessage()
func (*ListModelEvaluationsResponse) ProtoReflect
func (x *ListModelEvaluationsResponse) ProtoReflect() protoreflect.Message
func (*ListModelEvaluationsResponse) Reset
func (x *ListModelEvaluationsResponse) Reset()
func (*ListModelEvaluationsResponse) String
func (x *ListModelEvaluationsResponse) String() string
ListModelVersionsRequest
type ListModelVersionsRequest struct {
// Required. The name of the model to list versions for.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token]
// of the previous [ModelService.ListModelversions][] call.
PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// An expression for filtering the results of the request. For field names
// both snake_case and camelCase are supported.
//
// * `labels` supports general map functions that is:
// * `labels.key=value` - key:value equality
// * `labels.key:* or labels:key - key existence
// * A key including a space must be quoted. `labels."a key"`.
//
// Some examples:
//
// * `labels.myKey="myValue"`
Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
// Supported fields:
//
// * `create_time`
// * `update_time`
//
// Example: `update_time asc, create_time desc`.
OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
func (*ListModelVersionsRequest) Descriptor
func (*ListModelVersionsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListModelVersionsRequest.ProtoReflect.Descriptor instead.
func (*ListModelVersionsRequest) GetFilter
func (x *ListModelVersionsRequest) GetFilter() string
func (*ListModelVersionsRequest) GetName
func (x *ListModelVersionsRequest) GetName() string
func (*ListModelVersionsRequest) GetOrderBy
func (x *ListModelVersionsRequest) GetOrderBy() string
func (*ListModelVersionsRequest) GetPageSize
func (x *ListModelVersionsRequest) GetPageSize() int32
func (*ListModelVersionsRequest) GetPageToken
func (x *ListModelVersionsRequest) GetPageToken() string
func (*ListModelVersionsRequest) GetReadMask
func (x *ListModelVersionsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListModelVersionsRequest) ProtoMessage
func (*ListModelVersionsRequest) ProtoMessage()
func (*ListModelVersionsRequest) ProtoReflect
func (x *ListModelVersionsRequest) ProtoReflect() protoreflect.Message
func (*ListModelVersionsRequest) Reset
func (x *ListModelVersionsRequest) Reset()
func (*ListModelVersionsRequest) String
func (x *ListModelVersionsRequest) String() string
ListModelVersionsResponse
type ListModelVersionsResponse struct {
// List of Model versions in the requested page.
// In the returned Model name field, version ID instead of regvision tag will
// be included.
Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"`
// A token to retrieve the next page of results.
// Pass to
// [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
func (*ListModelVersionsResponse) Descriptor
func (*ListModelVersionsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListModelVersionsResponse.ProtoReflect.Descriptor instead.
func (*ListModelVersionsResponse) GetModels
func (x *ListModelVersionsResponse) GetModels() []*Model
func (*ListModelVersionsResponse) GetNextPageToken
func (x *ListModelVersionsResponse) GetNextPageToken() string
func (*ListModelVersionsResponse) ProtoMessage
func (*ListModelVersionsResponse) ProtoMessage()
func (*ListModelVersionsResponse) ProtoReflect
func (x *ListModelVersionsResponse) ProtoReflect() protoreflect.Message
func (*ListModelVersionsResponse) Reset
func (x *ListModelVersionsResponse) Reset()
func (*ListModelVersionsResponse) String
func (x *ListModelVersionsResponse) String() string
ListModelsRequest
type ListModelsRequest struct {
// Required. The resource name of the Location to list the Models from.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// An expression for filtering the results of the request. For field names
// both snake_case and camelCase are supported.
//
// * `model` supports = and !=. `model` represents the Model ID,
// i.e. the last segment of the Model's [resource
// name][google.cloud.aiplatform.v1.Model.name].
// * `display_name` supports = and !=
// * `labels` supports general map functions that is:
// * `labels.key=value` - key:value equality
// * `labels.key:* or labels:key - key existence
// * A key including a space must be quoted. `labels."a key"`.
//
// Some examples:
//
// * `model=1234`
// * `displayName="myDisplayName"`
// * `labels.myKey="myValue"`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token]
// of the previous
// [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
// Supported fields:
//
// * `display_name`
// * `create_time`
// * `update_time`
//
// Example: `display_name, create_time desc`.
OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
func (*ListModelsRequest) Descriptor
func (*ListModelsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListModelsRequest.ProtoReflect.Descriptor instead.
func (*ListModelsRequest) GetFilter
func (x *ListModelsRequest) GetFilter() string
func (*ListModelsRequest) GetOrderBy
func (x *ListModelsRequest) GetOrderBy() string
func (*ListModelsRequest) GetPageSize
func (x *ListModelsRequest) GetPageSize() int32
func (*ListModelsRequest) GetPageToken
func (x *ListModelsRequest) GetPageToken() string
func (*ListModelsRequest) GetParent
func (x *ListModelsRequest) GetParent() string
func (*ListModelsRequest) GetReadMask
func (x *ListModelsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListModelsRequest) ProtoMessage
func (*ListModelsRequest) ProtoMessage()
func (*ListModelsRequest) ProtoReflect
func (x *ListModelsRequest) ProtoReflect() protoreflect.Message
func (*ListModelsRequest) Reset
func (x *ListModelsRequest) Reset()
func (*ListModelsRequest) String
func (x *ListModelsRequest) String() string
ListModelsResponse
type ListModelsResponse struct {
// List of Models in the requested page.
Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"`
// A token to retrieve next page of results.
// Pass to
// [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
func (*ListModelsResponse) Descriptor
func (*ListModelsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListModelsResponse.ProtoReflect.Descriptor instead.
func (*ListModelsResponse) GetModels
func (x *ListModelsResponse) GetModels() []*Model
func (*ListModelsResponse) GetNextPageToken
func (x *ListModelsResponse) GetNextPageToken() string
func (*ListModelsResponse) ProtoMessage
func (*ListModelsResponse) ProtoMessage()
func (*ListModelsResponse) ProtoReflect
func (x *ListModelsResponse) ProtoReflect() protoreflect.Message
func (*ListModelsResponse) Reset
func (x *ListModelsResponse) Reset()
func (*ListModelsResponse) String
func (x *ListModelsResponse) String() string
ListNasJobsRequest
type ListNasJobsRequest struct {
// Required. The resource name of the Location to list the NasJobs
// from. Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
//
// Supported fields:
//
// * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
// * `state` supports `=`, `!=` comparisons.
// * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
// `create_time` must be in RFC 3339 format.
// * `labels` supports general map functions that is:
// `labels.key=value` - key:value equality
// `labels.key:* - key existence
//
// Some examples of using the filter are:
//
// * `state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"`
// * `state!="JOB_STATE_FAILED" OR display_name="my_job"`
// * `NOT display_name="my_job"`
// * `create_time>"2021-05-18T00:00:00Z"`
// * `labels.keyA=valueA`
// * `labels.keyB:*`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListNasJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListNasJobsResponse.next_page_token]
// of the previous
// [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs].
func (*ListNasJobsRequest) Descriptor
func (*ListNasJobsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListNasJobsRequest.ProtoReflect.Descriptor instead.
func (*ListNasJobsRequest) GetFilter
func (x *ListNasJobsRequest) GetFilter() string
func (*ListNasJobsRequest) GetPageSize
func (x *ListNasJobsRequest) GetPageSize() int32
func (*ListNasJobsRequest) GetPageToken
func (x *ListNasJobsRequest) GetPageToken() string
func (*ListNasJobsRequest) GetParent
func (x *ListNasJobsRequest) GetParent() string
func (*ListNasJobsRequest) GetReadMask
func (x *ListNasJobsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListNasJobsRequest) ProtoMessage
func (*ListNasJobsRequest) ProtoMessage()
func (*ListNasJobsRequest) ProtoReflect
func (x *ListNasJobsRequest) ProtoReflect() protoreflect.Message
func (*ListNasJobsRequest) Reset
func (x *ListNasJobsRequest) Reset()
func (*ListNasJobsRequest) String
func (x *ListNasJobsRequest) String() string
ListNasJobsResponse
type ListNasJobsResponse struct {
// List of NasJobs in the requested page.
// [NasJob.nas_job_output][google.cloud.aiplatform.v1.NasJob.nas_job_output]
// of the jobs will not be returned.
NasJobs []*NasJob `protobuf:"bytes,1,rep,name=nas_jobs,json=nasJobs,proto3" json:"nas_jobs,omitempty"`
// A token to retrieve the next page of results.
// Pass to
// [ListNasJobsRequest.page_token][google.cloud.aiplatform.v1.ListNasJobsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs]
func (*ListNasJobsResponse) Descriptor
func (*ListNasJobsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListNasJobsResponse.ProtoReflect.Descriptor instead.
func (*ListNasJobsResponse) GetNasJobs
func (x *ListNasJobsResponse) GetNasJobs() []*NasJob
func (*ListNasJobsResponse) GetNextPageToken
func (x *ListNasJobsResponse) GetNextPageToken() string
func (*ListNasJobsResponse) ProtoMessage
func (*ListNasJobsResponse) ProtoMessage()
func (*ListNasJobsResponse) ProtoReflect
func (x *ListNasJobsResponse) ProtoReflect() protoreflect.Message
func (*ListNasJobsResponse) Reset
func (x *ListNasJobsResponse) Reset()
func (*ListNasJobsResponse) String
func (x *ListNasJobsResponse) String() string
ListNasTrialDetailsRequest
type ListNasTrialDetailsRequest struct {
// Required. The name of the NasJob resource.
// Format:
// `projects/{project}/locations/{location}/nasJobs/{nas_job}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListNasTrialDetailsResponse.next_page_token][google.cloud.aiplatform.v1.ListNasTrialDetailsResponse.next_page_token]
// of the previous
// [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails]
// call.
PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails].
func (*ListNasTrialDetailsRequest) Descriptor
func (*ListNasTrialDetailsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListNasTrialDetailsRequest.ProtoReflect.Descriptor instead.
func (*ListNasTrialDetailsRequest) GetPageSize
func (x *ListNasTrialDetailsRequest) GetPageSize() int32
func (*ListNasTrialDetailsRequest) GetPageToken
func (x *ListNasTrialDetailsRequest) GetPageToken() string
func (*ListNasTrialDetailsRequest) GetParent
func (x *ListNasTrialDetailsRequest) GetParent() string
func (*ListNasTrialDetailsRequest) ProtoMessage
func (*ListNasTrialDetailsRequest) ProtoMessage()
func (*ListNasTrialDetailsRequest) ProtoReflect
func (x *ListNasTrialDetailsRequest) ProtoReflect() protoreflect.Message
func (*ListNasTrialDetailsRequest) Reset
func (x *ListNasTrialDetailsRequest) Reset()
func (*ListNasTrialDetailsRequest) String
func (x *ListNasTrialDetailsRequest) String() string
ListNasTrialDetailsResponse
type ListNasTrialDetailsResponse struct {
// List of top NasTrials in the requested page.
NasTrialDetails []*NasTrialDetail `protobuf:"bytes,1,rep,name=nas_trial_details,json=nasTrialDetails,proto3" json:"nas_trial_details,omitempty"`
// A token to retrieve the next page of results.
// Pass to
// [ListNasTrialDetailsRequest.page_token][google.cloud.aiplatform.v1.ListNasTrialDetailsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails]
func (*ListNasTrialDetailsResponse) Descriptor
func (*ListNasTrialDetailsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListNasTrialDetailsResponse.ProtoReflect.Descriptor instead.
func (*ListNasTrialDetailsResponse) GetNasTrialDetails
func (x *ListNasTrialDetailsResponse) GetNasTrialDetails() []*NasTrialDetail
func (*ListNasTrialDetailsResponse) GetNextPageToken
func (x *ListNasTrialDetailsResponse) GetNextPageToken() string
func (*ListNasTrialDetailsResponse) ProtoMessage
func (*ListNasTrialDetailsResponse) ProtoMessage()
func (*ListNasTrialDetailsResponse) ProtoReflect
func (x *ListNasTrialDetailsResponse) ProtoReflect() protoreflect.Message
func (*ListNasTrialDetailsResponse) Reset
func (x *ListNasTrialDetailsResponse) Reset()
func (*ListNasTrialDetailsResponse) String
func (x *ListNasTrialDetailsResponse) String() string
ListOptimalTrialsRequest
type ListOptimalTrialsRequest struct {
// Required. The name of the Study that the optimal Trial belongs to.
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
func (*ListOptimalTrialsRequest) Descriptor
func (*ListOptimalTrialsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListOptimalTrialsRequest.ProtoReflect.Descriptor instead.
func (*ListOptimalTrialsRequest) GetParent
func (x *ListOptimalTrialsRequest) GetParent() string
func (*ListOptimalTrialsRequest) ProtoMessage
func (*ListOptimalTrialsRequest) ProtoMessage()
func (*ListOptimalTrialsRequest) ProtoReflect
func (x *ListOptimalTrialsRequest) ProtoReflect() protoreflect.Message
func (*ListOptimalTrialsRequest) Reset
func (x *ListOptimalTrialsRequest) Reset()
func (*ListOptimalTrialsRequest) String
func (x *ListOptimalTrialsRequest) String() string
ListOptimalTrialsResponse
type ListOptimalTrialsResponse struct {
// The pareto-optimal Trials for multiple objective Study or the
// optimal trial for single objective Study. The definition of
// pareto-optimal can be checked in wiki page.
// https://en.wikipedia.org/wiki/Pareto_efficiency
OptimalTrials []*Trial `protobuf:"bytes,1,rep,name=optimal_trials,json=optimalTrials,proto3" json:"optimal_trials,omitempty"`
// contains filtered or unexported fields
}
Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
func (*ListOptimalTrialsResponse) Descriptor
func (*ListOptimalTrialsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListOptimalTrialsResponse.ProtoReflect.Descriptor instead.
func (*ListOptimalTrialsResponse) GetOptimalTrials
func (x *ListOptimalTrialsResponse) GetOptimalTrials() []*Trial
func (*ListOptimalTrialsResponse) ProtoMessage
func (*ListOptimalTrialsResponse) ProtoMessage()
func (*ListOptimalTrialsResponse) ProtoReflect
func (x *ListOptimalTrialsResponse) ProtoReflect() protoreflect.Message
func (*ListOptimalTrialsResponse) Reset
func (x *ListOptimalTrialsResponse) Reset()
func (*ListOptimalTrialsResponse) String
func (x *ListOptimalTrialsResponse) String() string
ListPipelineJobsRequest
type ListPipelineJobsRequest struct {
// Required. The resource name of the Location to list the PipelineJobs from.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the PipelineJobs that match the filter expression. The following
// fields are supported:
//
// * `pipeline_name`: Supports `=` and `!=` comparisons.
// * `display_name`: Supports `=`, `!=` comparisons, and `:` wildcard.
// * `pipeline_job_user_id`: Supports `=`, `!=` comparisons, and `:` wildcard.
// for example, can check if pipeline's display_name contains *step* by
// doing display_name:\"*step*\"
// * `state`: Supports `=` and `!=` comparisons.
// * `create_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
// Values must be in RFC 3339 format.
// * `update_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
// Values must be in RFC 3339 format.
// * `end_time`: Supports `=`, `!=`, `<`, `="">`, `<=`, and="" `="">=` comparisons.
// Values must be in RFC 3339 format.
// * `labels`: Supports key-value equality and key presence.
// * `template_uri`: Supports `=`, `!=` comparisons, and `:` wildcard.
// * `template_metadata.version`: Supports `=`, `!=` comparisons, and `:`
// wildcard.
//
// Filter expressions can be combined together using logical operators
// (`AND` & `OR`).
// For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`.
//
// The syntax to define filter expression is based on
// https://google.aip.dev/160.
//
// Examples:
//
// * `create_time>"2021-05-18T00:00:00Z" OR
// update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated
// after 2020-05-18 00:00:00 UTC.
// * `labels.env = "prod"`
// PipelineJobs with label "env" set to "prod".
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListPipelineJobsResponse.next_page_token]
// of the previous
// [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// A comma-separated list of fields to order by. The default sort order is in
// ascending order. Use "desc" after a field name for descending. You can have
// multiple order_by fields provided e.g. "create_time desc, end_time",
// "end_time, start_time, update_time" For example, using "create_time desc,
// end_time" will order results by create time in descending order, and if
// there are multiple jobs having the same create time, order them by the end
// time in ascending order. if order_by is not specified, it will order by
// default order is create time in descending order. Supported fields:
//
// * `create_time`
// * `update_time`
// * `end_time`
// * `start_time`
OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,7,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
func (*ListPipelineJobsRequest) Descriptor
func (*ListPipelineJobsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListPipelineJobsRequest.ProtoReflect.Descriptor instead.
func (*ListPipelineJobsRequest) GetFilter
func (x *ListPipelineJobsRequest) GetFilter() string
func (*ListPipelineJobsRequest) GetOrderBy
func (x *ListPipelineJobsRequest) GetOrderBy() string
func (*ListPipelineJobsRequest) GetPageSize
func (x *ListPipelineJobsRequest) GetPageSize() int32
func (*ListPipelineJobsRequest) GetPageToken
func (x *ListPipelineJobsRequest) GetPageToken() string
func (*ListPipelineJobsRequest) GetParent
func (x *ListPipelineJobsRequest) GetParent() string
func (*ListPipelineJobsRequest) GetReadMask
func (x *ListPipelineJobsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListPipelineJobsRequest) ProtoMessage
func (*ListPipelineJobsRequest) ProtoMessage()
func (*ListPipelineJobsRequest) ProtoReflect
func (x *ListPipelineJobsRequest) ProtoReflect() protoreflect.Message
func (*ListPipelineJobsRequest) Reset
func (x *ListPipelineJobsRequest) Reset()
func (*ListPipelineJobsRequest) String
func (x *ListPipelineJobsRequest) String() string
ListPipelineJobsResponse
type ListPipelineJobsResponse struct {
// List of PipelineJobs in the requested page.
PipelineJobs []*PipelineJob `protobuf:"bytes,1,rep,name=pipeline_jobs,json=pipelineJobs,proto3" json:"pipeline_jobs,omitempty"`
// A token to retrieve the next page of results.
// Pass to
// [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1.ListPipelineJobsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
func (*ListPipelineJobsResponse) Descriptor
func (*ListPipelineJobsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListPipelineJobsResponse.ProtoReflect.Descriptor instead.
func (*ListPipelineJobsResponse) GetNextPageToken
func (x *ListPipelineJobsResponse) GetNextPageToken() string
func (*ListPipelineJobsResponse) GetPipelineJobs
func (x *ListPipelineJobsResponse) GetPipelineJobs() []*PipelineJob
func (*ListPipelineJobsResponse) ProtoMessage
func (*ListPipelineJobsResponse) ProtoMessage()
func (*ListPipelineJobsResponse) ProtoReflect
func (x *ListPipelineJobsResponse) ProtoReflect() protoreflect.Message
func (*ListPipelineJobsResponse) Reset
func (x *ListPipelineJobsResponse) Reset()
func (*ListPipelineJobsResponse) String
func (x *ListPipelineJobsResponse) String() string
ListSavedQueriesRequest
type ListSavedQueriesRequest struct {
// Required. The resource name of the Dataset to list SavedQueries from.
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
func (*ListSavedQueriesRequest) Descriptor
func (*ListSavedQueriesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListSavedQueriesRequest.ProtoReflect.Descriptor instead.
func (*ListSavedQueriesRequest) GetFilter
func (x *ListSavedQueriesRequest) GetFilter() string
func (*ListSavedQueriesRequest) GetOrderBy
func (x *ListSavedQueriesRequest) GetOrderBy() string
func (*ListSavedQueriesRequest) GetPageSize
func (x *ListSavedQueriesRequest) GetPageSize() int32
func (*ListSavedQueriesRequest) GetPageToken
func (x *ListSavedQueriesRequest) GetPageToken() string
func (*ListSavedQueriesRequest) GetParent
func (x *ListSavedQueriesRequest) GetParent() string
func (*ListSavedQueriesRequest) GetReadMask
func (x *ListSavedQueriesRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListSavedQueriesRequest) ProtoMessage
func (*ListSavedQueriesRequest) ProtoMessage()
func (*ListSavedQueriesRequest) ProtoReflect
func (x *ListSavedQueriesRequest) ProtoReflect() protoreflect.Message
func (*ListSavedQueriesRequest) Reset
func (x *ListSavedQueriesRequest) Reset()
func (*ListSavedQueriesRequest) String
func (x *ListSavedQueriesRequest) String() string
ListSavedQueriesResponse
type ListSavedQueriesResponse struct {
// A list of SavedQueries that match the specified filter in the request.
SavedQueries []*SavedQuery `protobuf:"bytes,1,rep,name=saved_queries,json=savedQueries,proto3" json:"saved_queries,omitempty"`
// The standard List next-page token.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
func (*ListSavedQueriesResponse) Descriptor
func (*ListSavedQueriesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListSavedQueriesResponse.ProtoReflect.Descriptor instead.
func (*ListSavedQueriesResponse) GetNextPageToken
func (x *ListSavedQueriesResponse) GetNextPageToken() string
func (*ListSavedQueriesResponse) GetSavedQueries
func (x *ListSavedQueriesResponse) GetSavedQueries() []*SavedQuery
func (*ListSavedQueriesResponse) ProtoMessage
func (*ListSavedQueriesResponse) ProtoMessage()
func (*ListSavedQueriesResponse) ProtoReflect
func (x *ListSavedQueriesResponse) ProtoReflect() protoreflect.Message
func (*ListSavedQueriesResponse) Reset
func (x *ListSavedQueriesResponse) Reset()
func (*ListSavedQueriesResponse) String
func (x *ListSavedQueriesResponse) String() string
ListSpecialistPoolsRequest
type ListSpecialistPoolsRequest struct {
// Required. The name of the SpecialistPool's parent resource.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained by
// [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.next_page_token]
// of the previous
// [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools]
// call. Return first page if empty.
PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read. FieldMask represents a set of
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,4,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
func (*ListSpecialistPoolsRequest) Descriptor
func (*ListSpecialistPoolsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListSpecialistPoolsRequest.ProtoReflect.Descriptor instead.
func (*ListSpecialistPoolsRequest) GetPageSize
func (x *ListSpecialistPoolsRequest) GetPageSize() int32
func (*ListSpecialistPoolsRequest) GetPageToken
func (x *ListSpecialistPoolsRequest) GetPageToken() string
func (*ListSpecialistPoolsRequest) GetParent
func (x *ListSpecialistPoolsRequest) GetParent() string
func (*ListSpecialistPoolsRequest) GetReadMask
func (x *ListSpecialistPoolsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListSpecialistPoolsRequest) ProtoMessage
func (*ListSpecialistPoolsRequest) ProtoMessage()
func (*ListSpecialistPoolsRequest) ProtoReflect
func (x *ListSpecialistPoolsRequest) ProtoReflect() protoreflect.Message
func (*ListSpecialistPoolsRequest) Reset
func (x *ListSpecialistPoolsRequest) Reset()
func (*ListSpecialistPoolsRequest) String
func (x *ListSpecialistPoolsRequest) String() string
ListSpecialistPoolsResponse
type ListSpecialistPoolsResponse struct {
// A list of SpecialistPools that matches the specified filter in the request.
SpecialistPools []*SpecialistPool `protobuf:"bytes,1,rep,name=specialist_pools,json=specialistPools,proto3" json:"specialist_pools,omitempty"`
// The standard List next-page token.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
func (*ListSpecialistPoolsResponse) Descriptor
func (*ListSpecialistPoolsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListSpecialistPoolsResponse.ProtoReflect.Descriptor instead.
func (*ListSpecialistPoolsResponse) GetNextPageToken
func (x *ListSpecialistPoolsResponse) GetNextPageToken() string
func (*ListSpecialistPoolsResponse) GetSpecialistPools
func (x *ListSpecialistPoolsResponse) GetSpecialistPools() []*SpecialistPool
func (*ListSpecialistPoolsResponse) ProtoMessage
func (*ListSpecialistPoolsResponse) ProtoMessage()
func (*ListSpecialistPoolsResponse) ProtoReflect
func (x *ListSpecialistPoolsResponse) ProtoReflect() protoreflect.Message
func (*ListSpecialistPoolsResponse) Reset
func (x *ListSpecialistPoolsResponse) Reset()
func (*ListSpecialistPoolsResponse) String
func (x *ListSpecialistPoolsResponse) String() string
ListStudiesRequest
type ListStudiesRequest struct {
// Required. The resource name of the Location to list the Study from.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Optional. A page token to request the next page of results.
// If unspecified, there are no subsequent pages.
PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Optional. The maximum number of studies to return per "page" of results.
// If unspecified, service will pick an appropriate default.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
func (*ListStudiesRequest) Descriptor
func (*ListStudiesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListStudiesRequest.ProtoReflect.Descriptor instead.
func (*ListStudiesRequest) GetPageSize
func (x *ListStudiesRequest) GetPageSize() int32
func (*ListStudiesRequest) GetPageToken
func (x *ListStudiesRequest) GetPageToken() string
func (*ListStudiesRequest) GetParent
func (x *ListStudiesRequest) GetParent() string
func (*ListStudiesRequest) ProtoMessage
func (*ListStudiesRequest) ProtoMessage()
func (*ListStudiesRequest) ProtoReflect
func (x *ListStudiesRequest) ProtoReflect() protoreflect.Message
func (*ListStudiesRequest) Reset
func (x *ListStudiesRequest) Reset()
func (*ListStudiesRequest) String
func (x *ListStudiesRequest) String() string
ListStudiesResponse
type ListStudiesResponse struct {
// The studies associated with the project.
Studies []*Study `protobuf:"bytes,1,rep,name=studies,proto3" json:"studies,omitempty"`
// Passes this token as the `page_token` field of the request for a
// subsequent call.
// If this field is omitted, there are no subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
func (*ListStudiesResponse) Descriptor
func (*ListStudiesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListStudiesResponse.ProtoReflect.Descriptor instead.
func (*ListStudiesResponse) GetNextPageToken
func (x *ListStudiesResponse) GetNextPageToken() string
func (*ListStudiesResponse) GetStudies
func (x *ListStudiesResponse) GetStudies() []*Study
func (*ListStudiesResponse) ProtoMessage
func (*ListStudiesResponse) ProtoMessage()
func (*ListStudiesResponse) ProtoReflect
func (x *ListStudiesResponse) ProtoReflect() protoreflect.Message
func (*ListStudiesResponse) Reset
func (x *ListStudiesResponse) Reset()
func (*ListStudiesResponse) String
func (x *ListStudiesResponse) String() string
ListTensorboardExperimentsRequest
type ListTensorboardExperimentsRequest struct {
// Required. The resource name of the Tensorboard to list
// TensorboardExperiments. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the TensorboardExperiments that match the filter expression.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of TensorboardExperiments to return. The service may
// return fewer than this value. If unspecified, at most 50
// TensorboardExperiments are returned. The maximum value is 1000; values
// above 1000 are coerced to 1000.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments]
// must match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Field to use to sort the list.
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
func (*ListTensorboardExperimentsRequest) Descriptor
func (*ListTensorboardExperimentsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListTensorboardExperimentsRequest.ProtoReflect.Descriptor instead.
func (*ListTensorboardExperimentsRequest) GetFilter
func (x *ListTensorboardExperimentsRequest) GetFilter() string
func (*ListTensorboardExperimentsRequest) GetOrderBy
func (x *ListTensorboardExperimentsRequest) GetOrderBy() string
func (*ListTensorboardExperimentsRequest) GetPageSize
func (x *ListTensorboardExperimentsRequest) GetPageSize() int32
func (*ListTensorboardExperimentsRequest) GetPageToken
func (x *ListTensorboardExperimentsRequest) GetPageToken() string
func (*ListTensorboardExperimentsRequest) GetParent
func (x *ListTensorboardExperimentsRequest) GetParent() string
func (*ListTensorboardExperimentsRequest) GetReadMask
func (x *ListTensorboardExperimentsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListTensorboardExperimentsRequest) ProtoMessage
func (*ListTensorboardExperimentsRequest) ProtoMessage()
func (*ListTensorboardExperimentsRequest) ProtoReflect
func (x *ListTensorboardExperimentsRequest) ProtoReflect() protoreflect.Message
func (*ListTensorboardExperimentsRequest) Reset
func (x *ListTensorboardExperimentsRequest) Reset()
func (*ListTensorboardExperimentsRequest) String
func (x *ListTensorboardExperimentsRequest) String() string
ListTensorboardExperimentsResponse
type ListTensorboardExperimentsResponse struct {
TensorboardExperiments []*TensorboardExperiment "" /* 127 byte string literal not displayed */
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}
Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
func (*ListTensorboardExperimentsResponse) Descriptor
func (*ListTensorboardExperimentsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListTensorboardExperimentsResponse.ProtoReflect.Descriptor instead.
func (*ListTensorboardExperimentsResponse) GetNextPageToken
func (x *ListTensorboardExperimentsResponse) GetNextPageToken() string
func (*ListTensorboardExperimentsResponse) GetTensorboardExperiments
func (x *ListTensorboardExperimentsResponse) GetTensorboardExperiments() []*TensorboardExperiment
func (*ListTensorboardExperimentsResponse) ProtoMessage
func (*ListTensorboardExperimentsResponse) ProtoMessage()
func (*ListTensorboardExperimentsResponse) ProtoReflect
func (x *ListTensorboardExperimentsResponse) ProtoReflect() protoreflect.Message
func (*ListTensorboardExperimentsResponse) Reset
func (x *ListTensorboardExperimentsResponse) Reset()
func (*ListTensorboardExperimentsResponse) String
func (x *ListTensorboardExperimentsResponse) String() string
ListTensorboardRunsRequest
type ListTensorboardRunsRequest struct {
// Required. The resource name of the TensorboardExperiment to list
// TensorboardRuns. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the TensorboardRuns that match the filter expression.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of TensorboardRuns to return. The service may return
// fewer than this value. If unspecified, at most 50 TensorboardRuns are
// returned. The maximum value is 1000; values above 1000 are coerced to
// 1000.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns]
// must match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Field to use to sort the list.
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
func (*ListTensorboardRunsRequest) Descriptor
func (*ListTensorboardRunsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListTensorboardRunsRequest.ProtoReflect.Descriptor instead.
func (*ListTensorboardRunsRequest) GetFilter
func (x *ListTensorboardRunsRequest) GetFilter() string
func (*ListTensorboardRunsRequest) GetOrderBy
func (x *ListTensorboardRunsRequest) GetOrderBy() string
func (*ListTensorboardRunsRequest) GetPageSize
func (x *ListTensorboardRunsRequest) GetPageSize() int32
func (*ListTensorboardRunsRequest) GetPageToken
func (x *ListTensorboardRunsRequest) GetPageToken() string
func (*ListTensorboardRunsRequest) GetParent
func (x *ListTensorboardRunsRequest) GetParent() string
func (*ListTensorboardRunsRequest) GetReadMask
func (x *ListTensorboardRunsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListTensorboardRunsRequest) ProtoMessage
func (*ListTensorboardRunsRequest) ProtoMessage()
func (*ListTensorboardRunsRequest) ProtoReflect
func (x *ListTensorboardRunsRequest) ProtoReflect() protoreflect.Message
func (*ListTensorboardRunsRequest) Reset
func (x *ListTensorboardRunsRequest) Reset()
func (*ListTensorboardRunsRequest) String
func (x *ListTensorboardRunsRequest) String() string
ListTensorboardRunsResponse
type ListTensorboardRunsResponse struct {
// The TensorboardRuns mathching the request.
TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"`
// A token, which can be sent as
// [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardRunsRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
func (*ListTensorboardRunsResponse) Descriptor
func (*ListTensorboardRunsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListTensorboardRunsResponse.ProtoReflect.Descriptor instead.
func (*ListTensorboardRunsResponse) GetNextPageToken
func (x *ListTensorboardRunsResponse) GetNextPageToken() string
func (*ListTensorboardRunsResponse) GetTensorboardRuns
func (x *ListTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun
func (*ListTensorboardRunsResponse) ProtoMessage
func (*ListTensorboardRunsResponse) ProtoMessage()
func (*ListTensorboardRunsResponse) ProtoReflect
func (x *ListTensorboardRunsResponse) ProtoReflect() protoreflect.Message
func (*ListTensorboardRunsResponse) Reset
func (x *ListTensorboardRunsResponse) Reset()
func (*ListTensorboardRunsResponse) String
func (x *ListTensorboardRunsResponse) String() string
ListTensorboardTimeSeriesRequest
type ListTensorboardTimeSeriesRequest struct {
// Required. The resource name of the TensorboardRun to list
// TensorboardTimeSeries. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the TensorboardTimeSeries that match the filter expression.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of TensorboardTimeSeries to return. The service may
// return fewer than this value. If unspecified, at most 50
// TensorboardTimeSeries are returned. The maximum value is 1000; values
// above 1000 are coerced to 1000.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries]
// must match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Field to use to sort the list.
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
func (*ListTensorboardTimeSeriesRequest) Descriptor
func (*ListTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
func (*ListTensorboardTimeSeriesRequest) GetFilter
func (x *ListTensorboardTimeSeriesRequest) GetFilter() string
func (*ListTensorboardTimeSeriesRequest) GetOrderBy
func (x *ListTensorboardTimeSeriesRequest) GetOrderBy() string
func (*ListTensorboardTimeSeriesRequest) GetPageSize
func (x *ListTensorboardTimeSeriesRequest) GetPageSize() int32
func (*ListTensorboardTimeSeriesRequest) GetPageToken
func (x *ListTensorboardTimeSeriesRequest) GetPageToken() string
func (*ListTensorboardTimeSeriesRequest) GetParent
func (x *ListTensorboardTimeSeriesRequest) GetParent() string
func (*ListTensorboardTimeSeriesRequest) GetReadMask
func (x *ListTensorboardTimeSeriesRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListTensorboardTimeSeriesRequest) ProtoMessage
func (*ListTensorboardTimeSeriesRequest) ProtoMessage()
func (*ListTensorboardTimeSeriesRequest) ProtoReflect
func (x *ListTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message
func (*ListTensorboardTimeSeriesRequest) Reset
func (x *ListTensorboardTimeSeriesRequest) Reset()
func (*ListTensorboardTimeSeriesRequest) String
func (x *ListTensorboardTimeSeriesRequest) String() string
ListTensorboardTimeSeriesResponse
type ListTensorboardTimeSeriesResponse struct {
// The TensorboardTimeSeries mathching the request.
TensorboardTimeSeries []*TensorboardTimeSeries `protobuf:"bytes,1,rep,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
// A token, which can be sent as
// [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
func (*ListTensorboardTimeSeriesResponse) Descriptor
func (*ListTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead.
func (*ListTensorboardTimeSeriesResponse) GetNextPageToken
func (x *ListTensorboardTimeSeriesResponse) GetNextPageToken() string
func (*ListTensorboardTimeSeriesResponse) GetTensorboardTimeSeries
func (x *ListTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries
func (*ListTensorboardTimeSeriesResponse) ProtoMessage
func (*ListTensorboardTimeSeriesResponse) ProtoMessage()
func (*ListTensorboardTimeSeriesResponse) ProtoReflect
func (x *ListTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message
func (*ListTensorboardTimeSeriesResponse) Reset
func (x *ListTensorboardTimeSeriesResponse) Reset()
func (*ListTensorboardTimeSeriesResponse) String
func (x *ListTensorboardTimeSeriesResponse) String() string
ListTensorboardsRequest
type ListTensorboardsRequest struct {
// Required. The resource name of the Location to list Tensorboards.
// Format:
// `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Lists the Tensorboards that match the filter expression.
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The maximum number of Tensorboards to return. The service may return
// fewer than this value. If unspecified, at most 100 Tensorboards are
// returned. The maximum value is 100; values above 100 are coerced to
// 100.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]
// must match the call that provided the page token.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Field to use to sort the list.
OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
func (*ListTensorboardsRequest) Descriptor
func (*ListTensorboardsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListTensorboardsRequest.ProtoReflect.Descriptor instead.
func (*ListTensorboardsRequest) GetFilter
func (x *ListTensorboardsRequest) GetFilter() string
func (*ListTensorboardsRequest) GetOrderBy
func (x *ListTensorboardsRequest) GetOrderBy() string
func (*ListTensorboardsRequest) GetPageSize
func (x *ListTensorboardsRequest) GetPageSize() int32
func (*ListTensorboardsRequest) GetPageToken
func (x *ListTensorboardsRequest) GetPageToken() string
func (*ListTensorboardsRequest) GetParent
func (x *ListTensorboardsRequest) GetParent() string
func (*ListTensorboardsRequest) GetReadMask
func (x *ListTensorboardsRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListTensorboardsRequest) ProtoMessage
func (*ListTensorboardsRequest) ProtoMessage()
func (*ListTensorboardsRequest) ProtoReflect
func (x *ListTensorboardsRequest) ProtoReflect() protoreflect.Message
func (*ListTensorboardsRequest) Reset
func (x *ListTensorboardsRequest) Reset()
func (*ListTensorboardsRequest) String
func (x *ListTensorboardsRequest) String() string
ListTensorboardsResponse
type ListTensorboardsResponse struct {
// The Tensorboards mathching the request.
Tensorboards []*Tensorboard `protobuf:"bytes,1,rep,name=tensorboards,proto3" json:"tensorboards,omitempty"`
// A token, which can be sent as
// [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1.ListTensorboardsRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
func (*ListTensorboardsResponse) Descriptor
func (*ListTensorboardsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListTensorboardsResponse.ProtoReflect.Descriptor instead.
func (*ListTensorboardsResponse) GetNextPageToken
func (x *ListTensorboardsResponse) GetNextPageToken() string
func (*ListTensorboardsResponse) GetTensorboards
func (x *ListTensorboardsResponse) GetTensorboards() []*Tensorboard
func (*ListTensorboardsResponse) ProtoMessage
func (*ListTensorboardsResponse) ProtoMessage()
func (*ListTensorboardsResponse) ProtoReflect
func (x *ListTensorboardsResponse) ProtoReflect() protoreflect.Message
func (*ListTensorboardsResponse) Reset
func (x *ListTensorboardsResponse) Reset()
func (*ListTensorboardsResponse) String
func (x *ListTensorboardsResponse) String() string
ListTrainingPipelinesRequest
type ListTrainingPipelinesRequest struct {
// Required. The resource name of the Location to list the TrainingPipelines
// from. Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard list filter.
//
// Supported fields:
//
// * `display_name` supports `=`, `!=` comparisons, and `:` wildcard.
// * `state` supports `=`, `!=` comparisons.
// * `training_task_definition` `=`, `!=` comparisons, and `:` wildcard.
// * `create_time` supports `=`, `!=`,`<`,><=`,`>`, `>=` comparisons.
// `create_time` must be in RFC 3339 format.
// * `labels` supports general map functions that is:
// `labels.key=value` - key:value equality
// `labels.key:* - key existence
//
// Some examples of using the filter are:
//
// * `state="PIPELINE_STATE_SUCCEEDED" AND display_name:"my_pipeline_*"`
// * `state!="PIPELINE_STATE_FAILED" OR display_name="my_pipeline"`
// * `NOT display_name="my_pipeline"`
// * `create_time>"2021-05-18T00:00:00Z"`
// * `training_task_definition:"*automl_text_classification*"`
Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// The standard list page size.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard list page token.
// Typically obtained via
// [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.next_page_token]
// of the previous
// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
// call.
PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Mask specifying which fields to read.
ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
func (*ListTrainingPipelinesRequest) Descriptor
func (*ListTrainingPipelinesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListTrainingPipelinesRequest.ProtoReflect.Descriptor instead.
func (*ListTrainingPipelinesRequest) GetFilter
func (x *ListTrainingPipelinesRequest) GetFilter() string
func (*ListTrainingPipelinesRequest) GetPageSize
func (x *ListTrainingPipelinesRequest) GetPageSize() int32
func (*ListTrainingPipelinesRequest) GetPageToken
func (x *ListTrainingPipelinesRequest) GetPageToken() string
func (*ListTrainingPipelinesRequest) GetParent
func (x *ListTrainingPipelinesRequest) GetParent() string
func (*ListTrainingPipelinesRequest) GetReadMask
func (x *ListTrainingPipelinesRequest) GetReadMask() *fieldmaskpb.FieldMask
func (*ListTrainingPipelinesRequest) ProtoMessage
func (*ListTrainingPipelinesRequest) ProtoMessage()
func (*ListTrainingPipelinesRequest) ProtoReflect
func (x *ListTrainingPipelinesRequest) ProtoReflect() protoreflect.Message
func (*ListTrainingPipelinesRequest) Reset
func (x *ListTrainingPipelinesRequest) Reset()
func (*ListTrainingPipelinesRequest) String
func (x *ListTrainingPipelinesRequest) String() string
ListTrainingPipelinesResponse
type ListTrainingPipelinesResponse struct {
// List of TrainingPipelines in the requested page.
TrainingPipelines []*TrainingPipeline `protobuf:"bytes,1,rep,name=training_pipelines,json=trainingPipelines,proto3" json:"training_pipelines,omitempty"`
// A token to retrieve the next page of results.
// Pass to
// [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
func (*ListTrainingPipelinesResponse) Descriptor
func (*ListTrainingPipelinesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListTrainingPipelinesResponse.ProtoReflect.Descriptor instead.
func (*ListTrainingPipelinesResponse) GetNextPageToken
func (x *ListTrainingPipelinesResponse) GetNextPageToken() string
func (*ListTrainingPipelinesResponse) GetTrainingPipelines
func (x *ListTrainingPipelinesResponse) GetTrainingPipelines() []*TrainingPipeline
func (*ListTrainingPipelinesResponse) ProtoMessage
func (*ListTrainingPipelinesResponse) ProtoMessage()
func (*ListTrainingPipelinesResponse) ProtoReflect
func (x *ListTrainingPipelinesResponse) ProtoReflect() protoreflect.Message
func (*ListTrainingPipelinesResponse) Reset
func (x *ListTrainingPipelinesResponse) Reset()
func (*ListTrainingPipelinesResponse) String
func (x *ListTrainingPipelinesResponse) String() string
ListTrialsRequest
type ListTrialsRequest struct {
// Required. The resource name of the Study to list the Trial from.
// Format: `projects/{project}/locations/{location}/studies/{study}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Optional. A page token to request the next page of results.
// If unspecified, there are no subsequent pages.
PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// Optional. The number of Trials to retrieve per "page" of results.
// If unspecified, the service will pick an appropriate default.
PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
func (*ListTrialsRequest) Descriptor
func (*ListTrialsRequest) Descriptor() ([]byte, []int)
Deprecated: Use ListTrialsRequest.ProtoReflect.Descriptor instead.
func (*ListTrialsRequest) GetPageSize
func (x *ListTrialsRequest) GetPageSize() int32
func (*ListTrialsRequest) GetPageToken
func (x *ListTrialsRequest) GetPageToken() string
func (*ListTrialsRequest) GetParent
func (x *ListTrialsRequest) GetParent() string
func (*ListTrialsRequest) ProtoMessage
func (*ListTrialsRequest) ProtoMessage()
func (*ListTrialsRequest) ProtoReflect
func (x *ListTrialsRequest) ProtoReflect() protoreflect.Message
func (*ListTrialsRequest) Reset
func (x *ListTrialsRequest) Reset()
func (*ListTrialsRequest) String
func (x *ListTrialsRequest) String() string
ListTrialsResponse
type ListTrialsResponse struct {
// The Trials associated with the Study.
Trials []*Trial `protobuf:"bytes,1,rep,name=trials,proto3" json:"trials,omitempty"`
// Pass this token as the `page_token` field of the request for a
// subsequent call.
// If this field is omitted, there are no subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
func (*ListTrialsResponse) Descriptor
func (*ListTrialsResponse) Descriptor() ([]byte, []int)
Deprecated: Use ListTrialsResponse.ProtoReflect.Descriptor instead.
func (*ListTrialsResponse) GetNextPageToken
func (x *ListTrialsResponse) GetNextPageToken() string
func (*ListTrialsResponse) GetTrials
func (x *ListTrialsResponse) GetTrials() []*Trial
func (*ListTrialsResponse) ProtoMessage
func (*ListTrialsResponse) ProtoMessage()
func (*ListTrialsResponse) ProtoReflect
func (x *ListTrialsResponse) ProtoReflect() protoreflect.Message
func (*ListTrialsResponse) Reset
func (x *ListTrialsResponse) Reset()
func (*ListTrialsResponse) String
func (x *ListTrialsResponse) String() string
LookupStudyRequest
type LookupStudyRequest struct {
// Required. The resource name of the Location to get the Study from.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The user-defined display name of the Study
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
func (*LookupStudyRequest) Descriptor
func (*LookupStudyRequest) Descriptor() ([]byte, []int)
Deprecated: Use LookupStudyRequest.ProtoReflect.Descriptor instead.
func (*LookupStudyRequest) GetDisplayName
func (x *LookupStudyRequest) GetDisplayName() string
func (*LookupStudyRequest) GetParent
func (x *LookupStudyRequest) GetParent() string
func (*LookupStudyRequest) ProtoMessage
func (*LookupStudyRequest) ProtoMessage()
func (*LookupStudyRequest) ProtoReflect
func (x *LookupStudyRequest) ProtoReflect() protoreflect.Message
func (*LookupStudyRequest) Reset
func (x *LookupStudyRequest) Reset()
func (*LookupStudyRequest) String
func (x *LookupStudyRequest) String() string
MachineSpec
type MachineSpec struct {
MachineType string `protobuf:"bytes,1,opt,name=machine_type,json=machineType,proto3" json:"machine_type,omitempty"`
AcceleratorType AcceleratorType "" /* 155 byte string literal not displayed */
AcceleratorCount int32 `protobuf:"varint,3,opt,name=accelerator_count,json=acceleratorCount,proto3" json:"accelerator_count,omitempty"`
}
Specification of a single machine.
func (*MachineSpec) Descriptor
func (*MachineSpec) Descriptor() ([]byte, []int)
Deprecated: Use MachineSpec.ProtoReflect.Descriptor instead.
func (*MachineSpec) GetAcceleratorCount
func (x *MachineSpec) GetAcceleratorCount() int32
func (*MachineSpec) GetAcceleratorType
func (x *MachineSpec) GetAcceleratorType() AcceleratorType
func (*MachineSpec) GetMachineType
func (x *MachineSpec) GetMachineType() string
func (*MachineSpec) ProtoMessage
func (*MachineSpec) ProtoMessage()
func (*MachineSpec) ProtoReflect
func (x *MachineSpec) ProtoReflect() protoreflect.Message
func (*MachineSpec) Reset
func (x *MachineSpec) Reset()
func (*MachineSpec) String
func (x *MachineSpec) String() string
ManualBatchTuningParameters
type ManualBatchTuningParameters struct {
// Immutable. The number of the records (e.g. instances) of the operation
// given in each batch to a machine replica. Machine type, and size of a
// single record should be considered when setting this parameter, higher
// value speeds up the batch operation's execution, but too high value will
// result in a whole batch not fitting in a machine's memory, and the whole
// operation will fail.
// The default value is 64.
BatchSize int32 `protobuf:"varint,1,opt,name=batch_size,json=batchSize,proto3" json:"batch_size,omitempty"`
// contains filtered or unexported fields
}
Manual batch tuning parameters.
func (*ManualBatchTuningParameters) Descriptor
func (*ManualBatchTuningParameters) Descriptor() ([]byte, []int)
Deprecated: Use ManualBatchTuningParameters.ProtoReflect.Descriptor instead.
func (*ManualBatchTuningParameters) GetBatchSize
func (x *ManualBatchTuningParameters) GetBatchSize() int32
func (*ManualBatchTuningParameters) ProtoMessage
func (*ManualBatchTuningParameters) ProtoMessage()
func (*ManualBatchTuningParameters) ProtoReflect
func (x *ManualBatchTuningParameters) ProtoReflect() protoreflect.Message
func (*ManualBatchTuningParameters) Reset
func (x *ManualBatchTuningParameters) Reset()
func (*ManualBatchTuningParameters) String
func (x *ManualBatchTuningParameters) String() string
Measurement
type Measurement struct {
// Output only. Time that the Trial has been running at the point of this
// Measurement.
ElapsedDuration *durationpb.Duration `protobuf:"bytes,1,opt,name=elapsed_duration,json=elapsedDuration,proto3" json:"elapsed_duration,omitempty"`
// Output only. The number of steps the machine learning model has been
// trained for. Must be non-negative.
StepCount int64 `protobuf:"varint,2,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
// Output only. A list of metrics got by evaluating the objective functions
// using suggested Parameter values.
Metrics []*Measurement_Metric `protobuf:"bytes,3,rep,name=metrics,proto3" json:"metrics,omitempty"`
// contains filtered or unexported fields
}
A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.
func (*Measurement) Descriptor
func (*Measurement) Descriptor() ([]byte, []int)
Deprecated: Use Measurement.ProtoReflect.Descriptor instead.
func (*Measurement) GetElapsedDuration
func (x *Measurement) GetElapsedDuration() *durationpb.Duration
func (*Measurement) GetMetrics
func (x *Measurement) GetMetrics() []*Measurement_Metric
func (*Measurement) GetStepCount
func (x *Measurement) GetStepCount() int64
func (*Measurement) ProtoMessage
func (*Measurement) ProtoMessage()
func (*Measurement) ProtoReflect
func (x *Measurement) ProtoReflect() protoreflect.Message
func (*Measurement) Reset
func (x *Measurement) Reset()
func (*Measurement) String
func (x *Measurement) String() string
Measurement_Metric
type Measurement_Metric struct {
// Output only. The ID of the Metric. The Metric should be defined in
// [StudySpec's Metrics][google.cloud.aiplatform.v1.StudySpec.metrics].
MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`
// Output only. The value for this metric.
Value float64 `protobuf:"fixed64,2,opt,name=value,proto3" json:"value,omitempty"`
// contains filtered or unexported fields
}
A message representing a metric in the measurement.
func (*Measurement_Metric) Descriptor
func (*Measurement_Metric) Descriptor() ([]byte, []int)
Deprecated: Use Measurement_Metric.ProtoReflect.Descriptor instead.
func (*Measurement_Metric) GetMetricId
func (x *Measurement_Metric) GetMetricId() string
func (*Measurement_Metric) GetValue
func (x *Measurement_Metric) GetValue() float64
func (*Measurement_Metric) ProtoMessage
func (*Measurement_Metric) ProtoMessage()
func (*Measurement_Metric) ProtoReflect
func (x *Measurement_Metric) ProtoReflect() protoreflect.Message
func (*Measurement_Metric) Reset
func (x *Measurement_Metric) Reset()
func (*Measurement_Metric) String
func (x *Measurement_Metric) String() string
MergeVersionAliasesRequest
type MergeVersionAliasesRequest struct {
// Required. The name of the model version to merge aliases, with a version ID
// explicitly included.
//
// Example: `projects/{project}/locations/{location}/models/{model}@1234`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. The set of version aliases to merge.
// The alias should be at most 128 characters, and match
// `[a-z][a-zA-Z0-9-]{0,126}[a-z-0-9]`.
// Add the `-` prefix to an alias means removing that alias from the version.
// `-` is NOT counted in the 128 characters. Example: `-golden` means removing
// the `golden` alias from the version.
//
// There is NO ordering in aliases, which means
// 1) The aliases returned from GetModel API might not have the exactly same
// order from this MergeVersionAliases API. 2) Adding and deleting the same
// alias in the request is not recommended, and the 2 operations will be
// cancelled out.
VersionAliases []string `protobuf:"bytes,2,rep,name=version_aliases,json=versionAliases,proto3" json:"version_aliases,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
func (*MergeVersionAliasesRequest) Descriptor
func (*MergeVersionAliasesRequest) Descriptor() ([]byte, []int)
Deprecated: Use MergeVersionAliasesRequest.ProtoReflect.Descriptor instead.
func (*MergeVersionAliasesRequest) GetName
func (x *MergeVersionAliasesRequest) GetName() string
func (*MergeVersionAliasesRequest) GetVersionAliases
func (x *MergeVersionAliasesRequest) GetVersionAliases() []string
func (*MergeVersionAliasesRequest) ProtoMessage
func (*MergeVersionAliasesRequest) ProtoMessage()
func (*MergeVersionAliasesRequest) ProtoReflect
func (x *MergeVersionAliasesRequest) ProtoReflect() protoreflect.Message
func (*MergeVersionAliasesRequest) Reset
func (x *MergeVersionAliasesRequest) Reset()
func (*MergeVersionAliasesRequest) String
func (x *MergeVersionAliasesRequest) String() string
MetadataSchema
type MetadataSchema struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
SchemaVersion string `protobuf:"bytes,2,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
Schema string `protobuf:"bytes,3,opt,name=schema,proto3" json:"schema,omitempty"`
SchemaType MetadataSchema_MetadataSchemaType "" /* 158 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`
}
Instance of a general MetadataSchema.
func (*MetadataSchema) Descriptor
func (*MetadataSchema) Descriptor() ([]byte, []int)
Deprecated: Use MetadataSchema.ProtoReflect.Descriptor instead.
func (*MetadataSchema) GetCreateTime
func (x *MetadataSchema) GetCreateTime() *timestamppb.Timestamp
func (*MetadataSchema) GetDescription
func (x *MetadataSchema) GetDescription() string
func (*MetadataSchema) GetName
func (x *MetadataSchema) GetName() string
func (*MetadataSchema) GetSchema
func (x *MetadataSchema) GetSchema() string
func (*MetadataSchema) GetSchemaType
func (x *MetadataSchema) GetSchemaType() MetadataSchema_MetadataSchemaType
func (*MetadataSchema) GetSchemaVersion
func (x *MetadataSchema) GetSchemaVersion() string
func (*MetadataSchema) ProtoMessage
func (*MetadataSchema) ProtoMessage()
func (*MetadataSchema) ProtoReflect
func (x *MetadataSchema) ProtoReflect() protoreflect.Message
func (*MetadataSchema) Reset
func (x *MetadataSchema) Reset()
func (*MetadataSchema) String
func (x *MetadataSchema) String() string
MetadataSchema_MetadataSchemaType
type MetadataSchema_MetadataSchemaType int32
Describes the type of the MetadataSchema.
MetadataSchema_METADATA_SCHEMA_TYPE_UNSPECIFIED, MetadataSchema_ARTIFACT_TYPE, MetadataSchema_EXECUTION_TYPE, MetadataSchema_CONTEXT_TYPE
const (
// Unspecified type for the MetadataSchema.
MetadataSchema_METADATA_SCHEMA_TYPE_UNSPECIFIED MetadataSchema_MetadataSchemaType = 0
// A type indicating that the MetadataSchema will be used by Artifacts.
MetadataSchema_ARTIFACT_TYPE MetadataSchema_MetadataSchemaType = 1
// A typee indicating that the MetadataSchema will be used by Executions.
MetadataSchema_EXECUTION_TYPE MetadataSchema_MetadataSchemaType = 2
// A state indicating that the MetadataSchema will be used by Contexts.
MetadataSchema_CONTEXT_TYPE MetadataSchema_MetadataSchemaType = 3
)
func (MetadataSchema_MetadataSchemaType) Descriptor
func (MetadataSchema_MetadataSchemaType) Descriptor() protoreflect.EnumDescriptor
func (MetadataSchema_MetadataSchemaType) Enum
func (x MetadataSchema_MetadataSchemaType) Enum() *MetadataSchema_MetadataSchemaType
func (MetadataSchema_MetadataSchemaType) EnumDescriptor
func (MetadataSchema_MetadataSchemaType) EnumDescriptor() ([]byte, []int)
Deprecated: Use MetadataSchema_MetadataSchemaType.Descriptor instead.
func (MetadataSchema_MetadataSchemaType) Number
func (x MetadataSchema_MetadataSchemaType) Number() protoreflect.EnumNumber
func (MetadataSchema_MetadataSchemaType) String
func (x MetadataSchema_MetadataSchemaType) String() string
func (MetadataSchema_MetadataSchemaType) Type
func (MetadataSchema_MetadataSchemaType) Type() protoreflect.EnumType
MetadataServiceClient
type MetadataServiceClient interface {
// Initializes a MetadataStore, including allocation of resources.
CreateMetadataStore(ctx context.Context, in *CreateMetadataStoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Retrieves a specific MetadataStore.
GetMetadataStore(ctx context.Context, in *GetMetadataStoreRequest, opts ...grpc.CallOption) (*MetadataStore, error)
// Lists MetadataStores for a Location.
ListMetadataStores(ctx context.Context, in *ListMetadataStoresRequest, opts ...grpc.CallOption) (*ListMetadataStoresResponse, error)
// Deletes a single MetadataStore and all its child resources (Artifacts,
// Executions, and Contexts).
DeleteMetadataStore(ctx context.Context, in *DeleteMetadataStoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Creates an Artifact associated with a MetadataStore.
CreateArtifact(ctx context.Context, in *CreateArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
// Retrieves a specific Artifact.
GetArtifact(ctx context.Context, in *GetArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
// Lists Artifacts in the MetadataStore.
ListArtifacts(ctx context.Context, in *ListArtifactsRequest, opts ...grpc.CallOption) (*ListArtifactsResponse, error)
// Updates a stored Artifact.
UpdateArtifact(ctx context.Context, in *UpdateArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
// Deletes an Artifact.
DeleteArtifact(ctx context.Context, in *DeleteArtifactRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Purges Artifacts.
PurgeArtifacts(ctx context.Context, in *PurgeArtifactsRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Creates a Context associated with a MetadataStore.
CreateContext(ctx context.Context, in *CreateContextRequest, opts ...grpc.CallOption) (*Context, error)
// Retrieves a specific Context.
GetContext(ctx context.Context, in *GetContextRequest, opts ...grpc.CallOption) (*Context, error)
// Lists Contexts on the MetadataStore.
ListContexts(ctx context.Context, in *ListContextsRequest, opts ...grpc.CallOption) (*ListContextsResponse, error)
// Updates a stored Context.
UpdateContext(ctx context.Context, in *UpdateContextRequest, opts ...grpc.CallOption) (*Context, error)
// Deletes a stored Context.
DeleteContext(ctx context.Context, in *DeleteContextRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Purges Contexts.
PurgeContexts(ctx context.Context, in *PurgeContextsRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Adds a set of Artifacts and Executions to a Context. If any of the
// Artifacts or Executions have already been added to a Context, they are
// simply skipped.
AddContextArtifactsAndExecutions(ctx context.Context, in *AddContextArtifactsAndExecutionsRequest, opts ...grpc.CallOption) (*AddContextArtifactsAndExecutionsResponse, error)
// Adds a set of Contexts as children to a parent Context. If any of the
// child Contexts have already been added to the parent Context, they are
// simply skipped. If this call would create a cycle or cause any Context to
// have more than 10 parents, the request will fail with an INVALID_ARGUMENT
// error.
AddContextChildren(ctx context.Context, in *AddContextChildrenRequest, opts ...grpc.CallOption) (*AddContextChildrenResponse, error)
// Remove a set of children contexts from a parent Context. If any of the
// child Contexts were NOT added to the parent Context, they are
// simply skipped.
RemoveContextChildren(ctx context.Context, in *RemoveContextChildrenRequest, opts ...grpc.CallOption) (*RemoveContextChildrenResponse, error)
// Retrieves Artifacts and Executions within the specified Context, connected
// by Event edges and returned as a LineageSubgraph.
QueryContextLineageSubgraph(ctx context.Context, in *QueryContextLineageSubgraphRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
// Creates an Execution associated with a MetadataStore.
CreateExecution(ctx context.Context, in *CreateExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
// Retrieves a specific Execution.
GetExecution(ctx context.Context, in *GetExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
// Lists Executions in the MetadataStore.
ListExecutions(ctx context.Context, in *ListExecutionsRequest, opts ...grpc.CallOption) (*ListExecutionsResponse, error)
// Updates a stored Execution.
UpdateExecution(ctx context.Context, in *UpdateExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
// Deletes an Execution.
DeleteExecution(ctx context.Context, in *DeleteExecutionRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Purges Executions.
PurgeExecutions(ctx context.Context, in *PurgeExecutionsRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Adds Events to the specified Execution. An Event indicates whether an
// Artifact was used as an input or output for an Execution. If an Event
// already exists between the Execution and the Artifact, the Event is
// skipped.
AddExecutionEvents(ctx context.Context, in *AddExecutionEventsRequest, opts ...grpc.CallOption) (*AddExecutionEventsResponse, error)
// Obtains the set of input and output Artifacts for this Execution, in the
// form of LineageSubgraph that also contains the Execution and connecting
// Events.
QueryExecutionInputsAndOutputs(ctx context.Context, in *QueryExecutionInputsAndOutputsRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
// Creates a MetadataSchema.
CreateMetadataSchema(ctx context.Context, in *CreateMetadataSchemaRequest, opts ...grpc.CallOption) (*MetadataSchema, error)
// Retrieves a specific MetadataSchema.
GetMetadataSchema(ctx context.Context, in *GetMetadataSchemaRequest, opts ...grpc.CallOption) (*MetadataSchema, error)
// Lists MetadataSchemas.
ListMetadataSchemas(ctx context.Context, in *ListMetadataSchemasRequest, opts ...grpc.CallOption) (*ListMetadataSchemasResponse, error)
// Retrieves lineage of an Artifact represented through Artifacts and
// Executions connected by Event edges and returned as a LineageSubgraph.
QueryArtifactLineageSubgraph(ctx context.Context, in *QueryArtifactLineageSubgraphRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
}
MetadataServiceClient is the client API for MetadataService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewMetadataServiceClient
func NewMetadataServiceClient(cc grpc.ClientConnInterface) MetadataServiceClient
MetadataServiceServer
type MetadataServiceServer interface {
// Initializes a MetadataStore, including allocation of resources.
CreateMetadataStore(context.Context, *CreateMetadataStoreRequest) (*longrunning.Operation, error)
// Retrieves a specific MetadataStore.
GetMetadataStore(context.Context, *GetMetadataStoreRequest) (*MetadataStore, error)
// Lists MetadataStores for a Location.
ListMetadataStores(context.Context, *ListMetadataStoresRequest) (*ListMetadataStoresResponse, error)
// Deletes a single MetadataStore and all its child resources (Artifacts,
// Executions, and Contexts).
DeleteMetadataStore(context.Context, *DeleteMetadataStoreRequest) (*longrunning.Operation, error)
// Creates an Artifact associated with a MetadataStore.
CreateArtifact(context.Context, *CreateArtifactRequest) (*Artifact, error)
// Retrieves a specific Artifact.
GetArtifact(context.Context, *GetArtifactRequest) (*Artifact, error)
// Lists Artifacts in the MetadataStore.
ListArtifacts(context.Context, *ListArtifactsRequest) (*ListArtifactsResponse, error)
// Updates a stored Artifact.
UpdateArtifact(context.Context, *UpdateArtifactRequest) (*Artifact, error)
// Deletes an Artifact.
DeleteArtifact(context.Context, *DeleteArtifactRequest) (*longrunning.Operation, error)
// Purges Artifacts.
PurgeArtifacts(context.Context, *PurgeArtifactsRequest) (*longrunning.Operation, error)
// Creates a Context associated with a MetadataStore.
CreateContext(context.Context, *CreateContextRequest) (*Context, error)
// Retrieves a specific Context.
GetContext(context.Context, *GetContextRequest) (*Context, error)
// Lists Contexts on the MetadataStore.
ListContexts(context.Context, *ListContextsRequest) (*ListContextsResponse, error)
// Updates a stored Context.
UpdateContext(context.Context, *UpdateContextRequest) (*Context, error)
// Deletes a stored Context.
DeleteContext(context.Context, *DeleteContextRequest) (*longrunning.Operation, error)
// Purges Contexts.
PurgeContexts(context.Context, *PurgeContextsRequest) (*longrunning.Operation, error)
// Adds a set of Artifacts and Executions to a Context. If any of the
// Artifacts or Executions have already been added to a Context, they are
// simply skipped.
AddContextArtifactsAndExecutions(context.Context, *AddContextArtifactsAndExecutionsRequest) (*AddContextArtifactsAndExecutionsResponse, error)
// Adds a set of Contexts as children to a parent Context. If any of the
// child Contexts have already been added to the parent Context, they are
// simply skipped. If this call would create a cycle or cause any Context to
// have more than 10 parents, the request will fail with an INVALID_ARGUMENT
// error.
AddContextChildren(context.Context, *AddContextChildrenRequest) (*AddContextChildrenResponse, error)
// Remove a set of children contexts from a parent Context. If any of the
// child Contexts were NOT added to the parent Context, they are
// simply skipped.
RemoveContextChildren(context.Context, *RemoveContextChildrenRequest) (*RemoveContextChildrenResponse, error)
// Retrieves Artifacts and Executions within the specified Context, connected
// by Event edges and returned as a LineageSubgraph.
QueryContextLineageSubgraph(context.Context, *QueryContextLineageSubgraphRequest) (*LineageSubgraph, error)
// Creates an Execution associated with a MetadataStore.
CreateExecution(context.Context, *CreateExecutionRequest) (*Execution, error)
// Retrieves a specific Execution.
GetExecution(context.Context, *GetExecutionRequest) (*Execution, error)
// Lists Executions in the MetadataStore.
ListExecutions(context.Context, *ListExecutionsRequest) (*ListExecutionsResponse, error)
// Updates a stored Execution.
UpdateExecution(context.Context, *UpdateExecutionRequest) (*Execution, error)
// Deletes an Execution.
DeleteExecution(context.Context, *DeleteExecutionRequest) (*longrunning.Operation, error)
// Purges Executions.
PurgeExecutions(context.Context, *PurgeExecutionsRequest) (*longrunning.Operation, error)
// Adds Events to the specified Execution. An Event indicates whether an
// Artifact was used as an input or output for an Execution. If an Event
// already exists between the Execution and the Artifact, the Event is
// skipped.
AddExecutionEvents(context.Context, *AddExecutionEventsRequest) (*AddExecutionEventsResponse, error)
// Obtains the set of input and output Artifacts for this Execution, in the
// form of LineageSubgraph that also contains the Execution and connecting
// Events.
QueryExecutionInputsAndOutputs(context.Context, *QueryExecutionInputsAndOutputsRequest) (*LineageSubgraph, error)
// Creates a MetadataSchema.
CreateMetadataSchema(context.Context, *CreateMetadataSchemaRequest) (*MetadataSchema, error)
// Retrieves a specific MetadataSchema.
GetMetadataSchema(context.Context, *GetMetadataSchemaRequest) (*MetadataSchema, error)
// Lists MetadataSchemas.
ListMetadataSchemas(context.Context, *ListMetadataSchemasRequest) (*ListMetadataSchemasResponse, error)
// Retrieves lineage of an Artifact represented through Artifacts and
// Executions connected by Event edges and returned as a LineageSubgraph.
QueryArtifactLineageSubgraph(context.Context, *QueryArtifactLineageSubgraphRequest) (*LineageSubgraph, error)
}
MetadataServiceServer is the server API for MetadataService service.
MetadataStore
type MetadataStore struct {
// Output only. The resource name of the MetadataStore instance.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Output only. Timestamp when this MetadataStore was created.
CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
// Output only. Timestamp when this MetadataStore was last updated.
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
// Customer-managed encryption key spec for a Metadata Store. If set, this
// Metadata Store and all sub-resources of this Metadata Store are secured
// using this key.
EncryptionSpec *EncryptionSpec `protobuf:"bytes,5,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
// Description of the MetadataStore.
Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`
// Output only. State information of the MetadataStore.
State *MetadataStore_MetadataStoreState `protobuf:"bytes,7,opt,name=state,proto3" json:"state,omitempty"`
// contains filtered or unexported fields
}
Instance of a metadata store. Contains a set of metadata that can be queried.
func (*MetadataStore) Descriptor
func (*MetadataStore) Descriptor() ([]byte, []int)
Deprecated: Use MetadataStore.ProtoReflect.Descriptor instead.
func (*MetadataStore) GetCreateTime
func (x *MetadataStore) GetCreateTime() *timestamppb.Timestamp
func (*MetadataStore) GetDescription
func (x *MetadataStore) GetDescription() string
func (*MetadataStore) GetEncryptionSpec
func (x *MetadataStore) GetEncryptionSpec() *EncryptionSpec
func (*MetadataStore) GetName
func (x *MetadataStore) GetName() string
func (*MetadataStore) GetState
func (x *MetadataStore) GetState() *MetadataStore_MetadataStoreState
func (*MetadataStore) GetUpdateTime
func (x *MetadataStore) GetUpdateTime() *timestamppb.Timestamp
func (*MetadataStore) ProtoMessage
func (*MetadataStore) ProtoMessage()
func (*MetadataStore) ProtoReflect
func (x *MetadataStore) ProtoReflect() protoreflect.Message
func (*MetadataStore) Reset
func (x *MetadataStore) Reset()
func (*MetadataStore) String
func (x *MetadataStore) String() string
MetadataStore_MetadataStoreState
type MetadataStore_MetadataStoreState struct {
// The disk utilization of the MetadataStore in bytes.
DiskUtilizationBytes int64 `protobuf:"varint,1,opt,name=disk_utilization_bytes,json=diskUtilizationBytes,proto3" json:"disk_utilization_bytes,omitempty"`
// contains filtered or unexported fields
}
Represents state information for a MetadataStore.
func (*MetadataStore_MetadataStoreState) Descriptor
func (*MetadataStore_MetadataStoreState) Descriptor() ([]byte, []int)
Deprecated: Use MetadataStore_MetadataStoreState.ProtoReflect.Descriptor instead.
func (*MetadataStore_MetadataStoreState) GetDiskUtilizationBytes
func (x *MetadataStore_MetadataStoreState) GetDiskUtilizationBytes() int64
func (*MetadataStore_MetadataStoreState) ProtoMessage
func (*MetadataStore_MetadataStoreState) ProtoMessage()
func (*MetadataStore_MetadataStoreState) ProtoReflect
func (x *MetadataStore_MetadataStoreState) ProtoReflect() protoreflect.Message
func (*MetadataStore_MetadataStoreState) Reset
func (x *MetadataStore_MetadataStoreState) Reset()
func (*MetadataStore_MetadataStoreState) String
func (x *MetadataStore_MetadataStoreState) String() string
MigratableResource
type MigratableResource struct {
// Types that are assignable to Resource:
// *MigratableResource_MlEngineModelVersion_
// *MigratableResource_AutomlModel_
// *MigratableResource_AutomlDataset_
// *MigratableResource_DataLabelingDataset_
Resource isMigratableResource_Resource `protobuf_oneof:"resource"`
// Output only. Timestamp when the last migration attempt on this
// MigratableResource started. Will not be set if there's no migration attempt
// on this MigratableResource.
LastMigrateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=last_migrate_time,json=lastMigrateTime,proto3" json:"last_migrate_time,omitempty"`
// Output only. Timestamp when this MigratableResource was last updated.
LastUpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=last_update_time,json=lastUpdateTime,proto3" json:"last_update_time,omitempty"`
// contains filtered or unexported fields
}
Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.
func (*MigratableResource) Descriptor
func (*MigratableResource) Descriptor() ([]byte, []int)
Deprecated: Use MigratableResource.ProtoReflect.Descriptor instead.
func (*MigratableResource) GetAutomlDataset
func (x *MigratableResource) GetAutomlDataset() *MigratableResource_AutomlDataset
func (*MigratableResource) GetAutomlModel
func (x *MigratableResource) GetAutomlModel() *MigratableResource_AutomlModel
func (*MigratableResource) GetDataLabelingDataset
func (x *MigratableResource) GetDataLabelingDataset() *MigratableResource_DataLabelingDataset
func (*MigratableResource) GetLastMigrateTime
func (x *MigratableResource) GetLastMigrateTime() *timestamppb.Timestamp
func (*MigratableResource) GetLastUpdateTime
func (x *MigratableResource) GetLastUpdateTime() *timestamppb.Timestamp
func (*MigratableResource) GetMlEngineModelVersion
func (x *MigratableResource) GetMlEngineModelVersion() *MigratableResource_MlEngineModelVersion
func (*MigratableResource) GetResource
func (m *MigratableResource) GetResource() isMigratableResource_Resource
func (*MigratableResource) ProtoMessage
func (*MigratableResource) ProtoMessage()
func (*MigratableResource) ProtoReflect
func (x *MigratableResource) ProtoReflect() protoreflect.Message
func (*MigratableResource) Reset
func (x *MigratableResource) Reset()
func (*MigratableResource) String
func (x *MigratableResource) String() string
MigratableResource_AutomlDataset
type MigratableResource_AutomlDataset struct {
// Full resource name of automl Dataset.
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}`.
Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
// The Dataset's display name in automl.googleapis.com.
DatasetDisplayName string `protobuf:"bytes,4,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
// contains filtered or unexported fields
}
Represents one Dataset in automl.googleapis.com.
func (*MigratableResource_AutomlDataset) Descriptor
func (*MigratableResource_AutomlDataset) Descriptor() ([]byte, []int)
Deprecated: Use MigratableResource_AutomlDataset.ProtoReflect.Descriptor instead.
func (*MigratableResource_AutomlDataset) GetDataset
func (x *MigratableResource_AutomlDataset) GetDataset() string
func (*MigratableResource_AutomlDataset) GetDatasetDisplayName
func (x *MigratableResource_AutomlDataset) GetDatasetDisplayName() string
func (*MigratableResource_AutomlDataset) ProtoMessage
func (*MigratableResource_AutomlDataset) ProtoMessage()
func (*MigratableResource_AutomlDataset) ProtoReflect
func (x *MigratableResource_AutomlDataset) ProtoReflect() protoreflect.Message
func (*MigratableResource_AutomlDataset) Reset
func (x *MigratableResource_AutomlDataset) Reset()
func (*MigratableResource_AutomlDataset) String
func (x *MigratableResource_AutomlDataset) String() string
MigratableResource_AutomlDataset_
type MigratableResource_AutomlDataset_ struct {
// Output only. Represents one Dataset in automl.googleapis.com.
AutomlDataset *MigratableResource_AutomlDataset `protobuf:"bytes,3,opt,name=automl_dataset,json=automlDataset,proto3,oneof"`
}
MigratableResource_AutomlModel
type MigratableResource_AutomlModel struct {
// Full resource name of automl Model.
// Format:
// `projects/{project}/locations/{location}/models/{model}`.
Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
// The Model's display name in automl.googleapis.com.
ModelDisplayName string `protobuf:"bytes,3,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
// contains filtered or unexported fields
}
Represents one Model in automl.googleapis.com.
func (*MigratableResource_AutomlModel) Descriptor
func (*MigratableResource_AutomlModel) Descriptor() ([]byte, []int)
Deprecated: Use MigratableResource_AutomlModel.ProtoReflect.Descriptor instead.
func (*MigratableResource_AutomlModel) GetModel
func (x *MigratableResource_AutomlModel) GetModel() string
func (*MigratableResource_AutomlModel) GetModelDisplayName
func (x *MigratableResource_AutomlModel) GetModelDisplayName() string
func (*MigratableResource_AutomlModel) ProtoMessage
func (*MigratableResource_AutomlModel) ProtoMessage()
func (*MigratableResource_AutomlModel) ProtoReflect
func (x *MigratableResource_AutomlModel) ProtoReflect() protoreflect.Message
func (*MigratableResource_AutomlModel) Reset
func (x *MigratableResource_AutomlModel) Reset()
func (*MigratableResource_AutomlModel) String
func (x *MigratableResource_AutomlModel) String() string
MigratableResource_AutomlModel_
type MigratableResource_AutomlModel_ struct {
// Output only. Represents one Model in automl.googleapis.com.
AutomlModel *MigratableResource_AutomlModel `protobuf:"bytes,2,opt,name=automl_model,json=automlModel,proto3,oneof"`
}
MigratableResource_DataLabelingDataset
type MigratableResource_DataLabelingDataset struct {
Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
DatasetDisplayName string `protobuf:"bytes,4,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
DataLabelingAnnotatedDatasets []*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset "" /* 152 byte string literal not displayed */
}
Represents one Dataset in datalabeling.googleapis.com.
func (*MigratableResource_DataLabelingDataset) Descriptor
func (*MigratableResource_DataLabelingDataset) Descriptor() ([]byte, []int)
Deprecated: Use MigratableResource_DataLabelingDataset.ProtoReflect.Descriptor instead.
func (*MigratableResource_DataLabelingDataset) GetDataLabelingAnnotatedDatasets
func (x *MigratableResource_DataLabelingDataset) GetDataLabelingAnnotatedDatasets() []*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset
func (*MigratableResource_DataLabelingDataset) GetDataset
func (x *MigratableResource_DataLabelingDataset) GetDataset() string
func (*MigratableResource_DataLabelingDataset) GetDatasetDisplayName
func (x *MigratableResource_DataLabelingDataset) GetDatasetDisplayName() string
func (*MigratableResource_DataLabelingDataset) ProtoMessage
func (*MigratableResource_DataLabelingDataset) ProtoMessage()
func (*MigratableResource_DataLabelingDataset) ProtoReflect
func (x *MigratableResource_DataLabelingDataset) ProtoReflect() protoreflect.Message
func (*MigratableResource_DataLabelingDataset) Reset
func (x *MigratableResource_DataLabelingDataset) Reset()
func (*MigratableResource_DataLabelingDataset) String
func (x *MigratableResource_DataLabelingDataset) String() string
MigratableResource_DataLabelingDataset_
type MigratableResource_DataLabelingDataset_ struct {
// Output only. Represents one Dataset in datalabeling.googleapis.com.
DataLabelingDataset *MigratableResource_DataLabelingDataset `protobuf:"bytes,4,opt,name=data_labeling_dataset,json=dataLabelingDataset,proto3,oneof"`
}
MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset
type MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset struct {
AnnotatedDataset string `protobuf:"bytes,1,opt,name=annotated_dataset,json=annotatedDataset,proto3" json:"annotated_dataset,omitempty"`
AnnotatedDatasetDisplayName string "" /* 146 byte string literal not displayed */
}
Represents one AnnotatedDataset in datalabeling.googleapis.com.
func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Descriptor
func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Descriptor() ([]byte, []int)
Deprecated: Use MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset.ProtoReflect.Descriptor instead.
func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDataset
func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDataset() string
func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDatasetDisplayName
func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDatasetDisplayName() string
func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoMessage
func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoMessage()
func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoReflect
func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoReflect() protoreflect.Message
func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Reset
func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Reset()
func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) String
func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) String() string
MigratableResource_MlEngineModelVersion
type MigratableResource_MlEngineModelVersion struct {
// The ml.googleapis.com endpoint that this model Version currently lives
// in.
// Example values:
//
// * ml.googleapis.com
// * us-centrall-ml.googleapis.com
// * europe-west4-ml.googleapis.com
// * asia-east1-ml.googleapis.com
Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
// Full resource name of ml engine model Version.
// Format: `projects/{project}/models/{model}/versions/{version}`.
Version string `protobuf:"bytes,2,opt,name=version,proto3" json:"version,omitempty"`
// contains filtered or unexported fields
}
Represents one model Version in ml.googleapis.com.
func (*MigratableResource_MlEngineModelVersion) Descriptor
func (*MigratableResource_MlEngineModelVersion) Descriptor() ([]byte, []int)
Deprecated: Use MigratableResource_MlEngineModelVersion.ProtoReflect.Descriptor instead.
func (*MigratableResource_MlEngineModelVersion) GetEndpoint
func (x *MigratableResource_MlEngineModelVersion) GetEndpoint() string
func (*MigratableResource_MlEngineModelVersion) GetVersion
func (x *MigratableResource_MlEngineModelVersion) GetVersion() string
func (*MigratableResource_MlEngineModelVersion) ProtoMessage
func (*MigratableResource_MlEngineModelVersion) ProtoMessage()
func (*MigratableResource_MlEngineModelVersion) ProtoReflect
func (x *MigratableResource_MlEngineModelVersion) ProtoReflect() protoreflect.Message
func (*MigratableResource_MlEngineModelVersion) Reset
func (x *MigratableResource_MlEngineModelVersion) Reset()
func (*MigratableResource_MlEngineModelVersion) String
func (x *MigratableResource_MlEngineModelVersion) String() string
MigratableResource_MlEngineModelVersion_
type MigratableResource_MlEngineModelVersion_ struct {
// Output only. Represents one Version in ml.googleapis.com.
MlEngineModelVersion *MigratableResource_MlEngineModelVersion `protobuf:"bytes,1,opt,name=ml_engine_model_version,json=mlEngineModelVersion,proto3,oneof"`
}
MigrateResourceRequest
type MigrateResourceRequest struct {
// Types that are assignable to Request:
// *MigrateResourceRequest_MigrateMlEngineModelVersionConfig_
// *MigrateResourceRequest_MigrateAutomlModelConfig_
// *MigrateResourceRequest_MigrateAutomlDatasetConfig_
// *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_
Request isMigrateResourceRequest_Request `protobuf_oneof:"request"`
// contains filtered or unexported fields
}
Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
func (*MigrateResourceRequest) Descriptor
func (*MigrateResourceRequest) Descriptor() ([]byte, []int)
Deprecated: Use MigrateResourceRequest.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest) GetMigrateAutomlDatasetConfig
func (x *MigrateResourceRequest) GetMigrateAutomlDatasetConfig() *MigrateResourceRequest_MigrateAutomlDatasetConfig
func (*MigrateResourceRequest) GetMigrateAutomlModelConfig
func (x *MigrateResourceRequest) GetMigrateAutomlModelConfig() *MigrateResourceRequest_MigrateAutomlModelConfig
func (*MigrateResourceRequest) GetMigrateDataLabelingDatasetConfig
func (x *MigrateResourceRequest) GetMigrateDataLabelingDatasetConfig() *MigrateResourceRequest_MigrateDataLabelingDatasetConfig
func (*MigrateResourceRequest) GetMigrateMlEngineModelVersionConfig
func (x *MigrateResourceRequest) GetMigrateMlEngineModelVersionConfig() *MigrateResourceRequest_MigrateMlEngineModelVersionConfig
func (*MigrateResourceRequest) GetRequest
func (m *MigrateResourceRequest) GetRequest() isMigrateResourceRequest_Request
func (*MigrateResourceRequest) ProtoMessage
func (*MigrateResourceRequest) ProtoMessage()
func (*MigrateResourceRequest) ProtoReflect
func (x *MigrateResourceRequest) ProtoReflect() protoreflect.Message
func (*MigrateResourceRequest) Reset
func (x *MigrateResourceRequest) Reset()
func (*MigrateResourceRequest) String
func (x *MigrateResourceRequest) String() string
MigrateResourceRequest_MigrateAutomlDatasetConfig
type MigrateResourceRequest_MigrateAutomlDatasetConfig struct {
// Required. Full resource name of automl Dataset.
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}`.
Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
// Required. Display name of the Dataset in Vertex AI.
// System will pick a display name if unspecified.
DatasetDisplayName string `protobuf:"bytes,2,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
// contains filtered or unexported fields
}
Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.
func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Descriptor
func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Descriptor() ([]byte, []int)
Deprecated: Use MigrateResourceRequest_MigrateAutomlDatasetConfig.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDataset
func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDataset() string
func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDatasetDisplayName
func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDatasetDisplayName() string
func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoMessage
func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoMessage()
func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoReflect
func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoReflect() protoreflect.Message
func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Reset
func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) Reset()
func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) String
func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) String() string
MigrateResourceRequest_MigrateAutomlDatasetConfig_
type MigrateResourceRequest_MigrateAutomlDatasetConfig_ struct {
// Config for migrating Dataset in automl.googleapis.com to Vertex AI's
// Dataset.
MigrateAutomlDatasetConfig *MigrateResourceRequest_MigrateAutomlDatasetConfig `protobuf:"bytes,3,opt,name=migrate_automl_dataset_config,json=migrateAutomlDatasetConfig,proto3,oneof"`
}
MigrateResourceRequest_MigrateAutomlModelConfig
type MigrateResourceRequest_MigrateAutomlModelConfig struct {
// Required. Full resource name of automl Model.
// Format:
// `projects/{project}/locations/{location}/models/{model}`.
Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
// Optional. Display name of the model in Vertex AI.
// System will pick a display name if unspecified.
ModelDisplayName string `protobuf:"bytes,2,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
// contains filtered or unexported fields
}
Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
func (*MigrateResourceRequest_MigrateAutomlModelConfig) Descriptor
func (*MigrateResourceRequest_MigrateAutomlModelConfig) Descriptor() ([]byte, []int)
Deprecated: Use MigrateResourceRequest_MigrateAutomlModelConfig.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest_MigrateAutomlModelConfig) GetModel
func (x *MigrateResourceRequest_MigrateAutomlModelConfig) GetModel() string
func (*MigrateResourceRequest_MigrateAutomlModelConfig) GetModelDisplayName
func (x *MigrateResourceRequest_MigrateAutomlModelConfig) GetModelDisplayName() string
func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoMessage
func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoMessage()
func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoReflect
func (x *MigrateResourceRequest_MigrateAutomlModelConfig) ProtoReflect() protoreflect.Message
func (*MigrateResourceRequest_MigrateAutomlModelConfig) Reset
func (x *MigrateResourceRequest_MigrateAutomlModelConfig) Reset()
func (*MigrateResourceRequest_MigrateAutomlModelConfig) String
func (x *MigrateResourceRequest_MigrateAutomlModelConfig) String() string
MigrateResourceRequest_MigrateAutomlModelConfig_
type MigrateResourceRequest_MigrateAutomlModelConfig_ struct {
// Config for migrating Model in automl.googleapis.com to Vertex AI's
// Model.
MigrateAutomlModelConfig *MigrateResourceRequest_MigrateAutomlModelConfig `protobuf:"bytes,2,opt,name=migrate_automl_model_config,json=migrateAutomlModelConfig,proto3,oneof"`
}
MigrateResourceRequest_MigrateDataLabelingDatasetConfig
type MigrateResourceRequest_MigrateDataLabelingDatasetConfig struct {
Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
DatasetDisplayName string `protobuf:"bytes,2,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
MigrateDataLabelingAnnotatedDatasetConfigs []*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig "" /* 195 byte string literal not displayed */
}
Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Descriptor
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Descriptor() ([]byte, []int)
Deprecated: Use MigrateResourceRequest_MigrateDataLabelingDatasetConfig.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDataset
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDataset() string
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDatasetDisplayName
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDatasetDisplayName() string
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetMigrateDataLabelingAnnotatedDatasetConfigs
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetMigrateDataLabelingAnnotatedDatasetConfigs() []*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoMessage
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoMessage()
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoReflect
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoReflect() protoreflect.Message
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Reset
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Reset()
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) String
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) String() string
MigrateResourceRequest_MigrateDataLabelingDatasetConfig_
type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_ struct {
// Config for migrating Dataset in datalabeling.googleapis.com to
// Vertex AI's Dataset.
MigrateDataLabelingDatasetConfig *MigrateResourceRequest_MigrateDataLabelingDatasetConfig `protobuf:"bytes,4,opt,name=migrate_data_labeling_dataset_config,json=migrateDataLabelingDatasetConfig,proto3,oneof"`
}
MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig
type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig struct {
// Required. Full resource name of data labeling AnnotatedDataset.
// Format:
// `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
AnnotatedDataset string `protobuf:"bytes,1,opt,name=annotated_dataset,json=annotatedDataset,proto3" json:"annotated_dataset,omitempty"`
// contains filtered or unexported fields
}
Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Descriptor
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Descriptor() ([]byte, []int)
Deprecated: Use MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) GetAnnotatedDataset
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) GetAnnotatedDataset() string
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoMessage
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoMessage()
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoReflect
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoReflect() protoreflect.Message
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Reset
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Reset()
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) String
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) String() string
MigrateResourceRequest_MigrateMlEngineModelVersionConfig
type MigrateResourceRequest_MigrateMlEngineModelVersionConfig struct {
// Required. The ml.googleapis.com endpoint that this model version should
// be migrated from. Example values:
//
// * ml.googleapis.com
//
// * us-centrall-ml.googleapis.com
//
// * europe-west4-ml.googleapis.com
//
// * asia-east1-ml.googleapis.com
Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
// Required. Full resource name of ml engine model version.
// Format: `projects/{project}/models/{model}/versions/{version}`.
ModelVersion string `protobuf:"bytes,2,opt,name=model_version,json=modelVersion,proto3" json:"model_version,omitempty"`
// Required. Display name of the model in Vertex AI.
// System will pick a display name if unspecified.
ModelDisplayName string `protobuf:"bytes,3,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
// contains filtered or unexported fields
}
Config for migrating version in ml.googleapis.com to Vertex AI's Model.
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Descriptor
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Descriptor() ([]byte, []int)
Deprecated: Use MigrateResourceRequest_MigrateMlEngineModelVersionConfig.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetEndpoint
func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetEndpoint() string
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelDisplayName
func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelDisplayName() string
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelVersion
func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelVersion() string
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoMessage
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoMessage()
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoReflect
func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoReflect() protoreflect.Message
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Reset
func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Reset()
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) String
func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) String() string
MigrateResourceRequest_MigrateMlEngineModelVersionConfig_
type MigrateResourceRequest_MigrateMlEngineModelVersionConfig_ struct {
// Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
MigrateMlEngineModelVersionConfig *MigrateResourceRequest_MigrateMlEngineModelVersionConfig `protobuf:"bytes,1,opt,name=migrate_ml_engine_model_version_config,json=migrateMlEngineModelVersionConfig,proto3,oneof"`
}
MigrateResourceResponse
type MigrateResourceResponse struct {
// After migration, the resource name in Vertex AI.
//
// Types that are assignable to MigratedResource:
// *MigrateResourceResponse_Dataset
// *MigrateResourceResponse_Model
MigratedResource isMigrateResourceResponse_MigratedResource `protobuf_oneof:"migrated_resource"`
// Before migration, the identifier in ml.googleapis.com,
// automl.googleapis.com or datalabeling.googleapis.com.
MigratableResource *MigratableResource `protobuf:"bytes,3,opt,name=migratable_resource,json=migratableResource,proto3" json:"migratable_resource,omitempty"`
// contains filtered or unexported fields
}
Describes a successfully migrated resource.
func (*MigrateResourceResponse) Descriptor
func (*MigrateResourceResponse) Descriptor() ([]byte, []int)
Deprecated: Use MigrateResourceResponse.ProtoReflect.Descriptor instead.
func (*MigrateResourceResponse) GetDataset
func (x *MigrateResourceResponse) GetDataset() string
func (*MigrateResourceResponse) GetMigratableResource
func (x *MigrateResourceResponse) GetMigratableResource() *MigratableResource
func (*MigrateResourceResponse) GetMigratedResource
func (m *MigrateResourceResponse) GetMigratedResource() isMigrateResourceResponse_MigratedResource
func (*MigrateResourceResponse) GetModel
func (x *MigrateResourceResponse) GetModel() string
func (*MigrateResourceResponse) ProtoMessage
func (*MigrateResourceResponse) ProtoMessage()
func (*MigrateResourceResponse) ProtoReflect
func (x *MigrateResourceResponse) ProtoReflect() protoreflect.Message
func (*MigrateResourceResponse) Reset
func (x *MigrateResourceResponse) Reset()
func (*MigrateResourceResponse) String
func (x *MigrateResourceResponse) String() string
MigrateResourceResponse_Dataset
type MigrateResourceResponse_Dataset struct {
// Migrated Dataset's resource name.
Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3,oneof"`
}
MigrateResourceResponse_Model
type MigrateResourceResponse_Model struct {
// Migrated Model's resource name.
Model string `protobuf:"bytes,2,opt,name=model,proto3,oneof"`
}
MigrationServiceClient
type MigrationServiceClient interface {
// Searches all of the resources in automl.googleapis.com,
// datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
// Vertex AI's given location.
SearchMigratableResources(ctx context.Context, in *SearchMigratableResourcesRequest, opts ...grpc.CallOption) (*SearchMigratableResourcesResponse, error)
// Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
// and datalabeling.googleapis.com to Vertex AI.
BatchMigrateResources(ctx context.Context, in *BatchMigrateResourcesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}
MigrationServiceClient is the client API for MigrationService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewMigrationServiceClient
func NewMigrationServiceClient(cc grpc.ClientConnInterface) MigrationServiceClient
MigrationServiceServer
type MigrationServiceServer interface {
// Searches all of the resources in automl.googleapis.com,
// datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
// Vertex AI's given location.
SearchMigratableResources(context.Context, *SearchMigratableResourcesRequest) (*SearchMigratableResourcesResponse, error)
// Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
// and datalabeling.googleapis.com to Vertex AI.
BatchMigrateResources(context.Context, *BatchMigrateResourcesRequest) (*longrunning.Operation, error)
}
MigrationServiceServer is the server API for MigrationService service.
Model
type Model struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
VersionId string `protobuf:"bytes,28,opt,name=version_id,json=versionId,proto3" json:"version_id,omitempty"`
VersionAliases []string `protobuf:"bytes,29,rep,name=version_aliases,json=versionAliases,proto3" json:"version_aliases,omitempty"`
VersionCreateTime *timestamppb.Timestamp `protobuf:"bytes,31,opt,name=version_create_time,json=versionCreateTime,proto3" json:"version_create_time,omitempty"`
VersionUpdateTime *timestamppb.Timestamp `protobuf:"bytes,32,opt,name=version_update_time,json=versionUpdateTime,proto3" json:"version_update_time,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
VersionDescription string `protobuf:"bytes,30,opt,name=version_description,json=versionDescription,proto3" json:"version_description,omitempty"`
PredictSchemata *PredictSchemata `protobuf:"bytes,4,opt,name=predict_schemata,json=predictSchemata,proto3" json:"predict_schemata,omitempty"`
MetadataSchemaUri string `protobuf:"bytes,5,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`
Metadata *structpb.Value `protobuf:"bytes,6,opt,name=metadata,proto3" json:"metadata,omitempty"`
SupportedExportFormats []*Model_ExportFormat "" /* 130 byte string literal not displayed */
TrainingPipeline string `protobuf:"bytes,7,opt,name=training_pipeline,json=trainingPipeline,proto3" json:"training_pipeline,omitempty"`
ContainerSpec *ModelContainerSpec `protobuf:"bytes,9,opt,name=container_spec,json=containerSpec,proto3" json:"container_spec,omitempty"`
ArtifactUri string `protobuf:"bytes,26,opt,name=artifact_uri,json=artifactUri,proto3" json:"artifact_uri,omitempty"`
SupportedDeploymentResourcesTypes []Model_DeploymentResourcesType "" /* 235 byte string literal not displayed */
SupportedInputStorageFormats []string "" /* 150 byte string literal not displayed */
SupportedOutputStorageFormats []string "" /* 153 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
DeployedModels []*DeployedModelRef `protobuf:"bytes,15,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"`
ExplanationSpec *ExplanationSpec `protobuf:"bytes,23,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
Etag string `protobuf:"bytes,16,opt,name=etag,proto3" json:"etag,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
EncryptionSpec *EncryptionSpec `protobuf:"bytes,24,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
ModelSourceInfo *ModelSourceInfo `protobuf:"bytes,38,opt,name=model_source_info,json=modelSourceInfo,proto3" json:"model_source_info,omitempty"`
OriginalModelInfo *Model_OriginalModelInfo `protobuf:"bytes,34,opt,name=original_model_info,json=originalModelInfo,proto3" json:"original_model_info,omitempty"`
MetadataArtifact string `protobuf:"bytes,44,opt,name=metadata_artifact,json=metadataArtifact,proto3" json:"metadata_artifact,omitempty"`
}
A trained machine learning Model.
func (*Model) Descriptor
Deprecated: Use Model.ProtoReflect.Descriptor instead.
func (*Model) GetArtifactUri
func (*Model) GetContainerSpec
func (x *Model) GetContainerSpec() *ModelContainerSpec
func (*Model) GetCreateTime
func (x *Model) GetCreateTime() *timestamppb.Timestamp
func (*Model) GetDeployedModels
func (x *Model) GetDeployedModels() []*DeployedModelRef
func (*Model) GetDescription
func (*Model) GetDisplayName
func (*Model) GetEncryptionSpec
func (x *Model) GetEncryptionSpec() *EncryptionSpec
func (*Model) GetEtag
func (*Model) GetExplanationSpec
func (x *Model) GetExplanationSpec() *ExplanationSpec
func (*Model) GetLabels
func (*Model) GetMetadata
func (*Model) GetMetadataArtifact
func (*Model) GetMetadataSchemaUri
func (*Model) GetModelSourceInfo
func (x *Model) GetModelSourceInfo() *ModelSourceInfo
func (*Model) GetName
func (*Model) GetOriginalModelInfo
func (x *Model) GetOriginalModelInfo() *Model_OriginalModelInfo
func (*Model) GetPredictSchemata
func (x *Model) GetPredictSchemata() *PredictSchemata
func (*Model) GetSupportedDeploymentResourcesTypes
func (x *Model) GetSupportedDeploymentResourcesTypes() []Model_DeploymentResourcesType
func (*Model) GetSupportedExportFormats
func (x *Model) GetSupportedExportFormats() []*Model_ExportFormat
func (*Model) GetSupportedInputStorageFormats
func (*Model) GetSupportedOutputStorageFormats
func (*Model) GetTrainingPipeline
func (*Model) GetUpdateTime
func (x *Model) GetUpdateTime() *timestamppb.Timestamp
func (*Model) GetVersionAliases
func (*Model) GetVersionCreateTime
func (x *Model) GetVersionCreateTime() *timestamppb.Timestamp
func (*Model) GetVersionDescription
func (*Model) GetVersionId
func (*Model) GetVersionUpdateTime
func (x *Model) GetVersionUpdateTime() *timestamppb.Timestamp
func (*Model) ProtoMessage
func (*Model) ProtoMessage()
func (*Model) ProtoReflect
func (x *Model) ProtoReflect() protoreflect.Message
func (*Model) Reset
func (x *Model) Reset()
func (*Model) String
ModelContainerSpec
type ModelContainerSpec struct { // Required. Immutable. URI of the Docker image to be used as the custom // container for serving predictions. This URI must identify an image in // Artifact Registry or Container Registry. Learn more about the [container // publishing // requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), // including permissions requirements for the Vertex AI Service Agent. // // The container image is ingested upon // [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel], // stored internally, and this original path is afterwards not used. // // To learn about the requirements for the Docker image itself, see // [Custom container // requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). // // You can use the URI to one of Vertex AI's [pre-built container images for // prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) // in this field. ImageUri string `protobuf:"bytes,1,opt,name=image_uri,json=imageUri,proto3" json:"image_uri,omitempty"` // Immutable. Specifies the command that runs when the container starts. This // overrides the container's // [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint). // Specify this field as an array of executable and arguments, similar to a // Docker `ENTRYPOINT`'s "exec" form, not its "shell" form. // // If you do not specify this field, then the container's `ENTRYPOINT` runs, // in conjunction with the // [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] field or the // container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), // if either exists. If this field is not specified and the container does not // have an `ENTRYPOINT`, then refer to the Docker documentation about [how // `CMD` and `ENTRYPOINT` // interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). // // If you specify this field, then you can also specify the `args` field to // provide additional arguments for this command. However, if you specify this // field, then the container's `CMD` is ignored. See the // [Kubernetes documentation about how the // `command` and `args` fields interact with a container's `ENTRYPOINT` and // `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). // // In this field, you can reference [environment variables set by Vertex // AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) // and environment variables set in the // [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot // reference environment variables set in the Docker image. In order for // environment variables to be expanded, reference them by using the following // syntax:
// The placeholders in this value are replaced as follows: // // * ENDPOINT: The last segment (following `endpoints/`)of the // Endpoint.name][] field of the Endpoint where this Model has been // deployed. (Vertex AI makes this value available to your container code // as the [`AIP_ENDPOINT_ID` environment // variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) // // * DEPLOYED_MODEL: // [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the // `DeployedModel`. // (Vertex AI makes this value available to your container code // as the [`AIP_DEPLOYED_MODEL_ID` environment // variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) PredictRoute string `protobuf:"bytes,6,opt,name=predict_route,json=predictRoute,proto3" json:"predict_route,omitempty"` // Immutable. HTTP path on the container to send health checks to. Vertex AI // intermittently sends GET requests to this path on the container's IP // address and port to check that the container is healthy. Read more about // [health // checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). // // For example, if you set this field to `/bar`, then Vertex AI // intermittently sends a GET request to the `/bar` path on the port of your // container specified by the first value of this `ModelContainerSpec`'s // [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field. // // If you don't specify this field, it defaults to the following value when // you [deploy this Model to an // Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]: //$(VARIABLE_NAME)
Note that this differs // from Bash variable expansion, which does not use parentheses. If a variable // cannot be resolved, the reference in the input string is used unchanged. To // avoid variable expansion, you can escape this syntax with `$$`; for // example:$$(VARIABLE_NAME)
This field corresponds // to the `command` field of the Kubernetes Containers [v1 core // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). Command []string `protobuf:"bytes,2,rep,name=command,proto3" json:"command,omitempty"` // Immutable. Specifies arguments for the command that runs when the container // starts. This overrides the container's // [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify // this field as an array of executable and arguments, similar to a Docker // `CMD`'s "default parameters" form. // // If you don't specify this field but do specify the // [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] field, // then the command from the `command` field runs without any additional // arguments. See the [Kubernetes documentation about how the `command` and // `args` fields interact with a container's `ENTRYPOINT` and // `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). // // If you don't specify this field and don't specify the `command` field, // then the container's // [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and // `CMD` determine what runs based on their default behavior. See the Docker // documentation about [how `CMD` and `ENTRYPOINT` // interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). // // In this field, you can reference [environment variables // set by Vertex // AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) // and environment variables set in the // [env][google.cloud.aiplatform.v1.ModelContainerSpec.env] field. You cannot // reference environment variables set in the Docker image. In order for // environment variables to be expanded, reference them by using the following // syntax:$(VARIABLE_NAME)
Note that this differs // from Bash variable expansion, which does not use parentheses. If a variable // cannot be resolved, the reference in the input string is used unchanged. To // avoid variable expansion, you can escape this syntax with `$$`; for // example:$$(VARIABLE_NAME)
This field corresponds // to the `args` field of the Kubernetes Containers [v1 core // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). Args []string `protobuf:"bytes,3,rep,name=args,proto3" json:"args,omitempty"` // Immutable. List of environment variables to set in the container. After the // container starts running, code running in the container can read these // environment variables. // // Additionally, the // [command][google.cloud.aiplatform.v1.ModelContainerSpec.command] and // [args][google.cloud.aiplatform.v1.ModelContainerSpec.args] fields can // reference these variables. Later entries in this list can also reference // earlier entries. For example, the following example sets the variable // `VAR_2` to have the value `foo bar`: // // ```json // [ // { // "name": "VAR_1", // "value": "foo" // }, // { // "name": "VAR_2", // "value": "$(VAR_1) bar" // } // ] // ``` // // If you switch the order of the variables in the example, then the expansion // does not occur. // // This field corresponds to the `env` field of the Kubernetes Containers // [v1 core // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). Env []*EnvVar `protobuf:"bytes,4,rep,name=env,proto3" json:"env,omitempty"` // Immutable. List of ports to expose from the container. Vertex AI sends any // prediction requests that it receives to the first port on this list. Vertex // AI also sends // [liveness and health // checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness) // to this port. // // If you do not specify this field, it defaults to following value: // // ```json // [ // { // "containerPort": 8080 // } // ] // ``` // // Vertex AI does not use ports other than the first one listed. This field // corresponds to the `ports` field of the Kubernetes Containers // [v1 core // API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). Ports []*Port `protobuf:"bytes,5,rep,name=ports,proto3" json:"ports,omitempty"` // Immutable. HTTP path on the container to send prediction requests to. // Vertex AI forwards requests sent using // [projects.locations.endpoints.predict][google.cloud.aiplatform.v1.PredictionService.Predict] // to this path on the container's IP address and port. Vertex AI then returns // the container's response in the API response. // // For example, if you set this field to `/foo`, then when Vertex AI // receives a prediction request, it forwards the request body in a POST // request to the `/foo` path on the port of your container specified by the // first value of this `ModelContainerSpec`'s // [ports][google.cloud.aiplatform.v1.ModelContainerSpec.ports] field. // // If you don't specify this field, it defaults to the following value when // you [deploy this Model to an // Endpoint][google.cloud.aiplatform.v1.EndpointService.DeployModel]: ///v1/endpoints/ENDPOINT/deployedModels/DEPLOYED_MODEL:predict
/v1/endpoints/ENDPOINT/deployedModels/DEPLOYED_MODEL:predict
// The placeholders in this value are replaced as follows: // // * ENDPOINT: The last segment (following `endpoints/`)of the // Endpoint.name][] field of the Endpoint where this Model has been // deployed. (Vertex AI makes this value available to your container code // as the [`AIP_ENDPOINT_ID` environment // variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) // // * DEPLOYED_MODEL: // [DeployedModel.id][google.cloud.aiplatform.v1.DeployedModel.id] of the // `DeployedModel`. // (Vertex AI makes this value available to your container code as the // [`AIP_DEPLOYED_MODEL_ID` environment // variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) HealthRoute string `protobuf:"bytes,7,opt,name=health_route,json=healthRoute,proto3" json:"health_route,omitempty"` // contains filtered or unexported fields }
Specification of a container for serving predictions. Some fields in this message correspond to fields in the Kubernetes Container v1 core specification.
func (*ModelContainerSpec) Descriptor
func (*ModelContainerSpec) Descriptor() ([]byte, []int)
Deprecated: Use ModelContainerSpec.ProtoReflect.Descriptor instead.
func (*ModelContainerSpec) GetArgs
func (x *ModelContainerSpec) GetArgs() []string
func (*ModelContainerSpec) GetCommand
func (x *ModelContainerSpec) GetCommand() []string
func (*ModelContainerSpec) GetEnv
func (x *ModelContainerSpec) GetEnv() []*EnvVar
func (*ModelContainerSpec) GetHealthRoute
func (x *ModelContainerSpec) GetHealthRoute() string
func (*ModelContainerSpec) GetImageUri
func (x *ModelContainerSpec) GetImageUri() string
func (*ModelContainerSpec) GetPorts
func (x *ModelContainerSpec) GetPorts() []*Port
func (*ModelContainerSpec) GetPredictRoute
func (x *ModelContainerSpec) GetPredictRoute() string
func (*ModelContainerSpec) ProtoMessage
func (*ModelContainerSpec) ProtoMessage()
func (*ModelContainerSpec) ProtoReflect
func (x *ModelContainerSpec) ProtoReflect() protoreflect.Message
func (*ModelContainerSpec) Reset
func (x *ModelContainerSpec) Reset()
func (*ModelContainerSpec) String
func (x *ModelContainerSpec) String() string
ModelDeploymentMonitoringBigQueryTable
type ModelDeploymentMonitoringBigQueryTable struct {
LogSource ModelDeploymentMonitoringBigQueryTable_LogSource "" /* 170 byte string literal not displayed */
LogType ModelDeploymentMonitoringBigQueryTable_LogType "" /* 162 byte string literal not displayed */
BigqueryTablePath string `protobuf:"bytes,3,opt,name=bigquery_table_path,json=bigqueryTablePath,proto3" json:"bigquery_table_path,omitempty"`
}
ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.
func (*ModelDeploymentMonitoringBigQueryTable) Descriptor
func (*ModelDeploymentMonitoringBigQueryTable) Descriptor() ([]byte, []int)
Deprecated: Use ModelDeploymentMonitoringBigQueryTable.ProtoReflect.Descriptor instead.
func (*ModelDeploymentMonitoringBigQueryTable) GetBigqueryTablePath
func (x *ModelDeploymentMonitoringBigQueryTable) GetBigqueryTablePath() string
func (*ModelDeploymentMonitoringBigQueryTable) GetLogSource
func (x *ModelDeploymentMonitoringBigQueryTable) GetLogSource() ModelDeploymentMonitoringBigQueryTable_LogSource
func (*ModelDeploymentMonitoringBigQueryTable) GetLogType
func (x *ModelDeploymentMonitoringBigQueryTable) GetLogType() ModelDeploymentMonitoringBigQueryTable_LogType
func (*ModelDeploymentMonitoringBigQueryTable) ProtoMessage
func (*ModelDeploymentMonitoringBigQueryTable) ProtoMessage()
func (*ModelDeploymentMonitoringBigQueryTable) ProtoReflect
func (x *ModelDeploymentMonitoringBigQueryTable) ProtoReflect() protoreflect.Message
func (*ModelDeploymentMonitoringBigQueryTable) Reset
func (x *ModelDeploymentMonitoringBigQueryTable) Reset()
func (*ModelDeploymentMonitoringBigQueryTable) String
func (x *ModelDeploymentMonitoringBigQueryTable) String() string
ModelDeploymentMonitoringBigQueryTable_LogSource
type ModelDeploymentMonitoringBigQueryTable_LogSource int32
Indicates where does the log come from.
ModelDeploymentMonitoringBigQueryTable_LOG_SOURCE_UNSPECIFIED, ModelDeploymentMonitoringBigQueryTable_TRAINING, ModelDeploymentMonitoringBigQueryTable_SERVING
const (
// Unspecified source.
ModelDeploymentMonitoringBigQueryTable_LOG_SOURCE_UNSPECIFIED ModelDeploymentMonitoringBigQueryTable_LogSource = 0
// Logs coming from Training dataset.
ModelDeploymentMonitoringBigQueryTable_TRAINING ModelDeploymentMonitoringBigQueryTable_LogSource = 1
// Logs coming from Serving traffic.
ModelDeploymentMonitoringBigQueryTable_SERVING ModelDeploymentMonitoringBigQueryTable_LogSource = 2
)
func (ModelDeploymentMonitoringBigQueryTable_LogSource) Descriptor
func (ModelDeploymentMonitoringBigQueryTable_LogSource) Descriptor() protoreflect.EnumDescriptor
func (ModelDeploymentMonitoringBigQueryTable_LogSource) Enum
func (x ModelDeploymentMonitoringBigQueryTable_LogSource) Enum() *ModelDeploymentMonitoringBigQueryTable_LogSource
func (ModelDeploymentMonitoringBigQueryTable_LogSource) EnumDescriptor
func (ModelDeploymentMonitoringBigQueryTable_LogSource) EnumDescriptor() ([]byte, []int)
Deprecated: Use ModelDeploymentMonitoringBigQueryTable_LogSource.Descriptor instead.
func (ModelDeploymentMonitoringBigQueryTable_LogSource) Number
func (x ModelDeploymentMonitoringBigQueryTable_LogSource) Number() protoreflect.EnumNumber
func (ModelDeploymentMonitoringBigQueryTable_LogSource) String
func (x ModelDeploymentMonitoringBigQueryTable_LogSource) String() string
func (ModelDeploymentMonitoringBigQueryTable_LogSource) Type
ModelDeploymentMonitoringBigQueryTable_LogType
type ModelDeploymentMonitoringBigQueryTable_LogType int32
Indicates what type of traffic does the log belong to.
ModelDeploymentMonitoringBigQueryTable_LOG_TYPE_UNSPECIFIED, ModelDeploymentMonitoringBigQueryTable_PREDICT, ModelDeploymentMonitoringBigQueryTable_EXPLAIN
const (
// Unspecified type.
ModelDeploymentMonitoringBigQueryTable_LOG_TYPE_UNSPECIFIED ModelDeploymentMonitoringBigQueryTable_LogType = 0
// Predict logs.
ModelDeploymentMonitoringBigQueryTable_PREDICT ModelDeploymentMonitoringBigQueryTable_LogType = 1
// Explain logs.
ModelDeploymentMonitoringBigQueryTable_EXPLAIN ModelDeploymentMonitoringBigQueryTable_LogType = 2
)
func (ModelDeploymentMonitoringBigQueryTable_LogType) Descriptor
func (ModelDeploymentMonitoringBigQueryTable_LogType) Descriptor() protoreflect.EnumDescriptor
func (ModelDeploymentMonitoringBigQueryTable_LogType) Enum
func (x ModelDeploymentMonitoringBigQueryTable_LogType) Enum() *ModelDeploymentMonitoringBigQueryTable_LogType
func (ModelDeploymentMonitoringBigQueryTable_LogType) EnumDescriptor
func (ModelDeploymentMonitoringBigQueryTable_LogType) EnumDescriptor() ([]byte, []int)
Deprecated: Use ModelDeploymentMonitoringBigQueryTable_LogType.Descriptor instead.
func (ModelDeploymentMonitoringBigQueryTable_LogType) Number
func (x ModelDeploymentMonitoringBigQueryTable_LogType) Number() protoreflect.EnumNumber
func (ModelDeploymentMonitoringBigQueryTable_LogType) String
func (x ModelDeploymentMonitoringBigQueryTable_LogType) String() string
func (ModelDeploymentMonitoringBigQueryTable_LogType) Type
ModelDeploymentMonitoringJob
type ModelDeploymentMonitoringJob struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Endpoint string `protobuf:"bytes,3,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
State JobState `protobuf:"varint,4,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
ScheduleState ModelDeploymentMonitoringJob_MonitoringScheduleState "" /* 186 byte string literal not displayed */
LatestMonitoringPipelineMetadata *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata "" /* 162 byte string literal not displayed */
ModelDeploymentMonitoringObjectiveConfigs []*ModelDeploymentMonitoringObjectiveConfig "" /* 190 byte string literal not displayed */
ModelDeploymentMonitoringScheduleConfig *ModelDeploymentMonitoringScheduleConfig "" /* 184 byte string literal not displayed */
LoggingSamplingStrategy *SamplingStrategy "" /* 132 byte string literal not displayed */
ModelMonitoringAlertConfig *ModelMonitoringAlertConfig "" /* 144 byte string literal not displayed */
PredictInstanceSchemaUri string "" /* 137 byte string literal not displayed */
SamplePredictInstance *structpb.Value "" /* 127 byte string literal not displayed */
AnalysisInstanceSchemaUri string "" /* 141 byte string literal not displayed */
BigqueryTables []*ModelDeploymentMonitoringBigQueryTable `protobuf:"bytes,10,rep,name=bigquery_tables,json=bigqueryTables,proto3" json:"bigquery_tables,omitempty"`
LogTtl *durationpb.Duration `protobuf:"bytes,17,opt,name=log_ttl,json=logTtl,proto3" json:"log_ttl,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
NextScheduleTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=next_schedule_time,json=nextScheduleTime,proto3" json:"next_schedule_time,omitempty"`
StatsAnomaliesBaseDirectory *GcsDestination "" /* 147 byte string literal not displayed */
EncryptionSpec *EncryptionSpec `protobuf:"bytes,21,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
EnableMonitoringPipelineLogs bool "" /* 151 byte string literal not displayed */
Error *status.Status `protobuf:"bytes,23,opt,name=error,proto3" json:"error,omitempty"`
}
Represents a job that runs periodically to monitor the deployed models in an endpoint. It will analyze the logged training & prediction data to detect any abnormal behaviors.
func (*ModelDeploymentMonitoringJob) Descriptor
func (*ModelDeploymentMonitoringJob) Descriptor() ([]byte, []int)
Deprecated: Use ModelDeploymentMonitoringJob.ProtoReflect.Descriptor instead.
func (*ModelDeploymentMonitoringJob) GetAnalysisInstanceSchemaUri
func (x *ModelDeploymentMonitoringJob) GetAnalysisInstanceSchemaUri() string
func (*ModelDeploymentMonitoringJob) GetBigqueryTables
func (x *ModelDeploymentMonitoringJob) GetBigqueryTables() []*ModelDeploymentMonitoringBigQueryTable
func (*ModelDeploymentMonitoringJob) GetCreateTime
func (x *ModelDeploymentMonitoringJob) GetCreateTime() *timestamppb.Timestamp
func (*ModelDeploymentMonitoringJob) GetDisplayName
func (x *ModelDeploymentMonitoringJob) GetDisplayName() string
func (*ModelDeploymentMonitoringJob) GetEnableMonitoringPipelineLogs
func (x *ModelDeploymentMonitoringJob) GetEnableMonitoringPipelineLogs() bool
func (*ModelDeploymentMonitoringJob) GetEncryptionSpec
func (x *ModelDeploymentMonitoringJob) GetEncryptionSpec() *EncryptionSpec
func (*ModelDeploymentMonitoringJob) GetEndpoint
func (x *ModelDeploymentMonitoringJob) GetEndpoint() string
func (*ModelDeploymentMonitoringJob) GetError
func (x *ModelDeploymentMonitoringJob) GetError() *status.Status
func (*ModelDeploymentMonitoringJob) GetLabels
func (x *ModelDeploymentMonitoringJob) GetLabels() map[string]string
func (*ModelDeploymentMonitoringJob) GetLatestMonitoringPipelineMetadata
func (x *ModelDeploymentMonitoringJob) GetLatestMonitoringPipelineMetadata() *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata
func (*ModelDeploymentMonitoringJob) GetLogTtl
func (x *ModelDeploymentMonitoringJob) GetLogTtl() *durationpb.Duration
func (*ModelDeploymentMonitoringJob) GetLoggingSamplingStrategy
func (x *ModelDeploymentMonitoringJob) GetLoggingSamplingStrategy() *SamplingStrategy
func (*ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringObjectiveConfigs
func (x *ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringObjectiveConfigs() []*ModelDeploymentMonitoringObjectiveConfig
func (*ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringScheduleConfig
func (x *ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringScheduleConfig() *ModelDeploymentMonitoringScheduleConfig
func (*ModelDeploymentMonitoringJob) GetModelMonitoringAlertConfig
func (x *ModelDeploymentMonitoringJob) GetModelMonitoringAlertConfig() *ModelMonitoringAlertConfig
func (*ModelDeploymentMonitoringJob) GetName
func (x *ModelDeploymentMonitoringJob) GetName() string
func (*ModelDeploymentMonitoringJob) GetNextScheduleTime
func (x *ModelDeploymentMonitoringJob) GetNextScheduleTime() *timestamppb.Timestamp
func (*ModelDeploymentMonitoringJob) GetPredictInstanceSchemaUri
func (x *ModelDeploymentMonitoringJob) GetPredictInstanceSchemaUri() string
func (*ModelDeploymentMonitoringJob) GetSamplePredictInstance
func (x *ModelDeploymentMonitoringJob) GetSamplePredictInstance() *structpb.Value
func (*ModelDeploymentMonitoringJob) GetScheduleState
func (x *ModelDeploymentMonitoringJob) GetScheduleState() ModelDeploymentMonitoringJob_MonitoringScheduleState
func (*ModelDeploymentMonitoringJob) GetState
func (x *ModelDeploymentMonitoringJob) GetState() JobState
func (*ModelDeploymentMonitoringJob) GetStatsAnomaliesBaseDirectory
func (x *ModelDeploymentMonitoringJob) GetStatsAnomaliesBaseDirectory() *GcsDestination
func (*ModelDeploymentMonitoringJob) GetUpdateTime
func (x *ModelDeploymentMonitoringJob) GetUpdateTime() *timestamppb.Timestamp
func (*ModelDeploymentMonitoringJob) ProtoMessage
func (*ModelDeploymentMonitoringJob) ProtoMessage()
func (*ModelDeploymentMonitoringJob) ProtoReflect
func (x *ModelDeploymentMonitoringJob) ProtoReflect() protoreflect.Message
func (*ModelDeploymentMonitoringJob) Reset
func (x *ModelDeploymentMonitoringJob) Reset()
func (*ModelDeploymentMonitoringJob) String
func (x *ModelDeploymentMonitoringJob) String() string
ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata
type ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata struct {
// The time that most recent monitoring pipelines that is related to this
// run.
RunTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=run_time,json=runTime,proto3" json:"run_time,omitempty"`
// The status of the most recent monitoring pipeline.
Status *status.Status `protobuf:"bytes,2,opt,name=status,proto3" json:"status,omitempty"`
// contains filtered or unexported fields
}
All metadata of most recent monitoring pipelines.
func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Descriptor
func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Descriptor() ([]byte, []int)
Deprecated: Use ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata.ProtoReflect.Descriptor instead.
func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetRunTime
func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetRunTime() *timestamppb.Timestamp
func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetStatus
func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) GetStatus() *status.Status
func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoMessage
func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoMessage()
func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoReflect
func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) ProtoReflect() protoreflect.Message
func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Reset
func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) Reset()
func (*ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) String
func (x *ModelDeploymentMonitoringJob_LatestMonitoringPipelineMetadata) String() string
ModelDeploymentMonitoringJob_MonitoringScheduleState
type ModelDeploymentMonitoringJob_MonitoringScheduleState int32
The state to Specify the monitoring pipeline.
ModelDeploymentMonitoringJob_MONITORING_SCHEDULE_STATE_UNSPECIFIED, ModelDeploymentMonitoringJob_PENDING, ModelDeploymentMonitoringJob_OFFLINE, ModelDeploymentMonitoringJob_RUNNING
const (
// Unspecified state.
ModelDeploymentMonitoringJob_MONITORING_SCHEDULE_STATE_UNSPECIFIED ModelDeploymentMonitoringJob_MonitoringScheduleState = 0
// The pipeline is picked up and wait to run.
ModelDeploymentMonitoringJob_PENDING ModelDeploymentMonitoringJob_MonitoringScheduleState = 1
// The pipeline is offline and will be scheduled for next run.
ModelDeploymentMonitoringJob_OFFLINE ModelDeploymentMonitoringJob_MonitoringScheduleState = 2
// The pipeline is running.
ModelDeploymentMonitoringJob_RUNNING ModelDeploymentMonitoringJob_MonitoringScheduleState = 3
)
func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Descriptor
func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Descriptor() protoreflect.EnumDescriptor
func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Enum
func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) Enum() *ModelDeploymentMonitoringJob_MonitoringScheduleState
func (ModelDeploymentMonitoringJob_MonitoringScheduleState) EnumDescriptor
func (ModelDeploymentMonitoringJob_MonitoringScheduleState) EnumDescriptor() ([]byte, []int)
Deprecated: Use ModelDeploymentMonitoringJob_MonitoringScheduleState.Descriptor instead.
func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Number
func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) Number() protoreflect.EnumNumber
func (ModelDeploymentMonitoringJob_MonitoringScheduleState) String
func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) String() string
func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Type
ModelDeploymentMonitoringObjectiveConfig
type ModelDeploymentMonitoringObjectiveConfig struct {
// The DeployedModel ID of the objective config.
DeployedModelId string `protobuf:"bytes,1,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
// The objective config of for the modelmonitoring job of this deployed model.
ObjectiveConfig *ModelMonitoringObjectiveConfig `protobuf:"bytes,2,opt,name=objective_config,json=objectiveConfig,proto3" json:"objective_config,omitempty"`
// contains filtered or unexported fields
}
ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.
func (*ModelDeploymentMonitoringObjectiveConfig) Descriptor
func (*ModelDeploymentMonitoringObjectiveConfig) Descriptor() ([]byte, []int)
Deprecated: Use ModelDeploymentMonitoringObjectiveConfig.ProtoReflect.Descriptor instead.
func (*ModelDeploymentMonitoringObjectiveConfig) GetDeployedModelId
func (x *ModelDeploymentMonitoringObjectiveConfig) GetDeployedModelId() string
func (*ModelDeploymentMonitoringObjectiveConfig) GetObjectiveConfig
func (x *ModelDeploymentMonitoringObjectiveConfig) GetObjectiveConfig() *ModelMonitoringObjectiveConfig
func (*ModelDeploymentMonitoringObjectiveConfig) ProtoMessage
func (*ModelDeploymentMonitoringObjectiveConfig) ProtoMessage()
func (*ModelDeploymentMonitoringObjectiveConfig) ProtoReflect
func (x *ModelDeploymentMonitoringObjectiveConfig) ProtoReflect() protoreflect.Message
func (*ModelDeploymentMonitoringObjectiveConfig) Reset
func (x *ModelDeploymentMonitoringObjectiveConfig) Reset()
func (*ModelDeploymentMonitoringObjectiveConfig) String
func (x *ModelDeploymentMonitoringObjectiveConfig) String() string
ModelDeploymentMonitoringObjectiveType
type ModelDeploymentMonitoringObjectiveType int32
The Model Monitoring Objective types.
ModelDeploymentMonitoringObjectiveType_MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED, ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_SKEW, ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_DRIFT, ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_SKEW, ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_DRIFT
const (
// Default value, should not be set.
ModelDeploymentMonitoringObjectiveType_MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED ModelDeploymentMonitoringObjectiveType = 0
// Raw feature values' stats to detect skew between Training-Prediction
// datasets.
ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_SKEW ModelDeploymentMonitoringObjectiveType = 1
// Raw feature values' stats to detect drift between Serving-Prediction
// datasets.
ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_DRIFT ModelDeploymentMonitoringObjectiveType = 2
// Feature attribution scores to detect skew between Training-Prediction
// datasets.
ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_SKEW ModelDeploymentMonitoringObjectiveType = 3
// Feature attribution scores to detect skew between Prediction datasets
// collected within different time windows.
ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_DRIFT ModelDeploymentMonitoringObjectiveType = 4
)
func (ModelDeploymentMonitoringObjectiveType) Descriptor
func (ModelDeploymentMonitoringObjectiveType) Descriptor() protoreflect.EnumDescriptor
func (ModelDeploymentMonitoringObjectiveType) Enum
func (ModelDeploymentMonitoringObjectiveType) EnumDescriptor
func (ModelDeploymentMonitoringObjectiveType) EnumDescriptor() ([]byte, []int)
Deprecated: Use ModelDeploymentMonitoringObjectiveType.Descriptor instead.
func (ModelDeploymentMonitoringObjectiveType) Number
func (x ModelDeploymentMonitoringObjectiveType) Number() protoreflect.EnumNumber
func (ModelDeploymentMonitoringObjectiveType) String
func (x ModelDeploymentMonitoringObjectiveType) String() string
func (ModelDeploymentMonitoringObjectiveType) Type
func (ModelDeploymentMonitoringObjectiveType) Type() protoreflect.EnumType
ModelDeploymentMonitoringScheduleConfig
type ModelDeploymentMonitoringScheduleConfig struct {
// Required. The model monitoring job scheduling interval. It will be rounded
// up to next full hour. This defines how often the monitoring jobs are
// triggered.
MonitorInterval *durationpb.Duration `protobuf:"bytes,1,opt,name=monitor_interval,json=monitorInterval,proto3" json:"monitor_interval,omitempty"`
// The time window of the prediction data being included in each prediction
// dataset. This window specifies how long the data should be collected from
// historical model results for each run. If not set,
// [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval]
// will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and
// the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to
// 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
// monitoring statistics.
MonitorWindow *durationpb.Duration `protobuf:"bytes,2,opt,name=monitor_window,json=monitorWindow,proto3" json:"monitor_window,omitempty"`
// contains filtered or unexported fields
}
The config for scheduling monitoring job.
func (*ModelDeploymentMonitoringScheduleConfig) Descriptor
func (*ModelDeploymentMonitoringScheduleConfig) Descriptor() ([]byte, []int)
Deprecated: Use ModelDeploymentMonitoringScheduleConfig.ProtoReflect.Descriptor instead.
func (*ModelDeploymentMonitoringScheduleConfig) GetMonitorInterval
func (x *ModelDeploymentMonitoringScheduleConfig) GetMonitorInterval() *durationpb.Duration
func (*ModelDeploymentMonitoringScheduleConfig) GetMonitorWindow
func (x *ModelDeploymentMonitoringScheduleConfig) GetMonitorWindow() *durationpb.Duration
func (*ModelDeploymentMonitoringScheduleConfig) ProtoMessage
func (*ModelDeploymentMonitoringScheduleConfig) ProtoMessage()
func (*ModelDeploymentMonitoringScheduleConfig) ProtoReflect
func (x *ModelDeploymentMonitoringScheduleConfig) ProtoReflect() protoreflect.Message
func (*ModelDeploymentMonitoringScheduleConfig) Reset
func (x *ModelDeploymentMonitoringScheduleConfig) Reset()
func (*ModelDeploymentMonitoringScheduleConfig) String
func (x *ModelDeploymentMonitoringScheduleConfig) String() string
ModelEvaluation
type ModelEvaluation struct {
// Output only. The resource name of the ModelEvaluation.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// The display name of the ModelEvaluation.
DisplayName string `protobuf:"bytes,10,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// Points to a YAML file stored on Google Cloud Storage describing the
// [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this
// ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema
// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
MetricsSchemaUri string `protobuf:"bytes,2,opt,name=metrics_schema_uri,json=metricsSchemaUri,proto3" json:"metrics_schema_uri,omitempty"`
// Evaluation metrics of the Model. The schema of the metrics is stored in
// [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
Metrics *structpb.Value `protobuf:"bytes,3,opt,name=metrics,proto3" json:"metrics,omitempty"`
// Output only. Timestamp when this ModelEvaluation was created.
CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
// All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
// ModelEvaluationSlices. The dimensions can be used as the filter of the
// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
// request, in the form of `slice.dimension =
A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.
func (*ModelEvaluation) Descriptor
func (*ModelEvaluation) Descriptor() ([]byte, []int)
Deprecated: Use ModelEvaluation.ProtoReflect.Descriptor instead.
func (*ModelEvaluation) GetAnnotationSchemaUri
func (x *ModelEvaluation) GetAnnotationSchemaUri() string
func (*ModelEvaluation) GetCreateTime
func (x *ModelEvaluation) GetCreateTime() *timestamppb.Timestamp
func (*ModelEvaluation) GetDataItemSchemaUri
func (x *ModelEvaluation) GetDataItemSchemaUri() string
func (*ModelEvaluation) GetDisplayName
func (x *ModelEvaluation) GetDisplayName() string
func (*ModelEvaluation) GetExplanationSpecs
func (x *ModelEvaluation) GetExplanationSpecs() []*ModelEvaluation_ModelEvaluationExplanationSpec
func (*ModelEvaluation) GetMetadata
func (x *ModelEvaluation) GetMetadata() *structpb.Value
func (*ModelEvaluation) GetMetrics
func (x *ModelEvaluation) GetMetrics() *structpb.Value
func (*ModelEvaluation) GetMetricsSchemaUri
func (x *ModelEvaluation) GetMetricsSchemaUri() string
func (*ModelEvaluation) GetModelExplanation
func (x *ModelEvaluation) GetModelExplanation() *ModelExplanation
func (*ModelEvaluation) GetName
func (x *ModelEvaluation) GetName() string
func (*ModelEvaluation) GetSliceDimensions
func (x *ModelEvaluation) GetSliceDimensions() []string
func (*ModelEvaluation) ProtoMessage
func (*ModelEvaluation) ProtoMessage()
func (*ModelEvaluation) ProtoReflect
func (x *ModelEvaluation) ProtoReflect() protoreflect.Message
func (*ModelEvaluation) Reset
func (x *ModelEvaluation) Reset()
func (*ModelEvaluation) String
func (x *ModelEvaluation) String() string
ModelEvaluationSlice
type ModelEvaluationSlice struct {
// Output only. The resource name of the ModelEvaluationSlice.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Output only. The slice of the test data that is used to evaluate the Model.
Slice *ModelEvaluationSlice_Slice `protobuf:"bytes,2,opt,name=slice,proto3" json:"slice,omitempty"`
// Output only. Points to a YAML file stored on Google Cloud Storage
// describing the
// [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
// ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 [Schema
// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
MetricsSchemaUri string `protobuf:"bytes,3,opt,name=metrics_schema_uri,json=metricsSchemaUri,proto3" json:"metrics_schema_uri,omitempty"`
// Output only. Sliced evaluation metrics of the Model. The schema of the
// metrics is stored in
// [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
Metrics *structpb.Value `protobuf:"bytes,4,opt,name=metrics,proto3" json:"metrics,omitempty"`
// Output only. Timestamp when this ModelEvaluationSlice was created.
CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
// contains filtered or unexported fields
}
A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.
func (*ModelEvaluationSlice) Descriptor
func (*ModelEvaluationSlice) Descriptor() ([]byte, []int)
Deprecated: Use ModelEvaluationSlice.ProtoReflect.Descriptor instead.
func (*ModelEvaluationSlice) GetCreateTime
func (x *ModelEvaluationSlice) GetCreateTime() *timestamppb.Timestamp
func (*ModelEvaluationSlice) GetMetrics
func (x *ModelEvaluationSlice) GetMetrics() *structpb.Value
func (*ModelEvaluationSlice) GetMetricsSchemaUri
func (x *ModelEvaluationSlice) GetMetricsSchemaUri() string
func (*ModelEvaluationSlice) GetName
func (x *ModelEvaluationSlice) GetName() string
func (*ModelEvaluationSlice) GetSlice
func (x *ModelEvaluationSlice) GetSlice() *ModelEvaluationSlice_Slice
func (*ModelEvaluationSlice) ProtoMessage
func (*ModelEvaluationSlice) ProtoMessage()
func (*ModelEvaluationSlice) ProtoReflect
func (x *ModelEvaluationSlice) ProtoReflect() protoreflect.Message
func (*ModelEvaluationSlice) Reset
func (x *ModelEvaluationSlice) Reset()
func (*ModelEvaluationSlice) String
func (x *ModelEvaluationSlice) String() string
ModelEvaluationSlice_Slice
type ModelEvaluationSlice_Slice struct {
// Output only. The dimension of the slice.
// Well-known dimensions are:
// * `annotationSpec`: This slice is on the test data that has either
// ground truth or prediction with
// [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
// equals to
// [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
Dimension string `protobuf:"bytes,1,opt,name=dimension,proto3" json:"dimension,omitempty"`
// Output only. The value of the dimension in this slice.
Value string `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
// contains filtered or unexported fields
}
Definition of a slice.
func (*ModelEvaluationSlice_Slice) Descriptor
func (*ModelEvaluationSlice_Slice) Descriptor() ([]byte, []int)
Deprecated: Use ModelEvaluationSlice_Slice.ProtoReflect.Descriptor instead.
func (*ModelEvaluationSlice_Slice) GetDimension
func (x *ModelEvaluationSlice_Slice) GetDimension() string
func (*ModelEvaluationSlice_Slice) GetValue
func (x *ModelEvaluationSlice_Slice) GetValue() string
func (*ModelEvaluationSlice_Slice) ProtoMessage
func (*ModelEvaluationSlice_Slice) ProtoMessage()
func (*ModelEvaluationSlice_Slice) ProtoReflect
func (x *ModelEvaluationSlice_Slice) ProtoReflect() protoreflect.Message
func (*ModelEvaluationSlice_Slice) Reset
func (x *ModelEvaluationSlice_Slice) Reset()
func (*ModelEvaluationSlice_Slice) String
func (x *ModelEvaluationSlice_Slice) String() string
ModelEvaluation_ModelEvaluationExplanationSpec
type ModelEvaluation_ModelEvaluationExplanationSpec struct {
// Explanation type.
//
// For AutoML Image Classification models, possible values are:
//
// * `image-integrated-gradients`
// * `image-xrai`
ExplanationType string `protobuf:"bytes,1,opt,name=explanation_type,json=explanationType,proto3" json:"explanation_type,omitempty"`
// Explanation spec details.
ExplanationSpec *ExplanationSpec `protobuf:"bytes,2,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
// contains filtered or unexported fields
}
func (*ModelEvaluation_ModelEvaluationExplanationSpec) Descriptor
func (*ModelEvaluation_ModelEvaluationExplanationSpec) Descriptor() ([]byte, []int)
Deprecated: Use ModelEvaluation_ModelEvaluationExplanationSpec.ProtoReflect.Descriptor instead.
func (*ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationSpec
func (x *ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationSpec() *ExplanationSpec
func (*ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationType
func (x *ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationType() string
func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoMessage
func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoMessage()
func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoReflect
func (x *ModelEvaluation_ModelEvaluationExplanationSpec) ProtoReflect() protoreflect.Message
func (*ModelEvaluation_ModelEvaluationExplanationSpec) Reset
func (x *ModelEvaluation_ModelEvaluationExplanationSpec) Reset()
func (*ModelEvaluation_ModelEvaluationExplanationSpec) String
func (x *ModelEvaluation_ModelEvaluationExplanationSpec) String() string
ModelExplanation
type ModelExplanation struct {
// Output only. Aggregated attributions explaining the Model's prediction
// outputs over the set of instances. The attributions are grouped by outputs.
//
// For Models that predict only one output, such as regression Models that
// predict only one score, there is only one attibution that explains the
// predicted output. For Models that predict multiple outputs, such as
// multiclass Models that predict multiple classes, each element explains one
// specific item.
// [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
// can be used to identify which output this attribution is explaining.
//
// The
// [baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
// [instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
// and
// [featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
// fields are averaged over the test data.
//
// NOTE: Currently AutoML tabular classification Models produce only one
// attribution, which averages attributions over all the classes it predicts.
// [Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
// is not populated.
MeanAttributions []*Attribution `protobuf:"bytes,1,rep,name=mean_attributions,json=meanAttributions,proto3" json:"mean_attributions,omitempty"`
// contains filtered or unexported fields
}
Aggregated explanation metrics for a Model over a set of instances.
func (*ModelExplanation) Descriptor
func (*ModelExplanation) Descriptor() ([]byte, []int)
Deprecated: Use ModelExplanation.ProtoReflect.Descriptor instead.
func (*ModelExplanation) GetMeanAttributions
func (x *ModelExplanation) GetMeanAttributions() []*Attribution
func (*ModelExplanation) ProtoMessage
func (*ModelExplanation) ProtoMessage()
func (*ModelExplanation) ProtoReflect
func (x *ModelExplanation) ProtoReflect() protoreflect.Message
func (*ModelExplanation) Reset
func (x *ModelExplanation) Reset()
func (*ModelExplanation) String
func (x *ModelExplanation) String() string
ModelMonitoringAlertConfig
type ModelMonitoringAlertConfig struct {
// Types that are assignable to Alert:
// *ModelMonitoringAlertConfig_EmailAlertConfig_
Alert isModelMonitoringAlertConfig_Alert `protobuf_oneof:"alert"`
// Dump the anomalies to Cloud Logging. The anomalies will be put to json
// payload encoded from proto
// [google.cloud.aiplatform.logging.ModelMonitoringAnomaliesLogEntry][].
// This can be further sinked to Pub/Sub or any other services supported
// by Cloud Logging.
EnableLogging bool `protobuf:"varint,2,opt,name=enable_logging,json=enableLogging,proto3" json:"enable_logging,omitempty"`
// contains filtered or unexported fields
}
func (*ModelMonitoringAlertConfig) Descriptor
func (*ModelMonitoringAlertConfig) Descriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringAlertConfig.ProtoReflect.Descriptor instead.
func (*ModelMonitoringAlertConfig) GetAlert
func (m *ModelMonitoringAlertConfig) GetAlert() isModelMonitoringAlertConfig_Alert
func (*ModelMonitoringAlertConfig) GetEmailAlertConfig
func (x *ModelMonitoringAlertConfig) GetEmailAlertConfig() *ModelMonitoringAlertConfig_EmailAlertConfig
func (*ModelMonitoringAlertConfig) GetEnableLogging
func (x *ModelMonitoringAlertConfig) GetEnableLogging() bool
func (*ModelMonitoringAlertConfig) ProtoMessage
func (*ModelMonitoringAlertConfig) ProtoMessage()
func (*ModelMonitoringAlertConfig) ProtoReflect
func (x *ModelMonitoringAlertConfig) ProtoReflect() protoreflect.Message
func (*ModelMonitoringAlertConfig) Reset
func (x *ModelMonitoringAlertConfig) Reset()
func (*ModelMonitoringAlertConfig) String
func (x *ModelMonitoringAlertConfig) String() string
ModelMonitoringAlertConfig_EmailAlertConfig
type ModelMonitoringAlertConfig_EmailAlertConfig struct {
// The email addresses to send the alert.
UserEmails []string `protobuf:"bytes,1,rep,name=user_emails,json=userEmails,proto3" json:"user_emails,omitempty"`
// contains filtered or unexported fields
}
The config for email alert.
func (*ModelMonitoringAlertConfig_EmailAlertConfig) Descriptor
func (*ModelMonitoringAlertConfig_EmailAlertConfig) Descriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringAlertConfig_EmailAlertConfig.ProtoReflect.Descriptor instead.
func (*ModelMonitoringAlertConfig_EmailAlertConfig) GetUserEmails
func (x *ModelMonitoringAlertConfig_EmailAlertConfig) GetUserEmails() []string
func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoMessage
func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoMessage()
func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoReflect
func (x *ModelMonitoringAlertConfig_EmailAlertConfig) ProtoReflect() protoreflect.Message
func (*ModelMonitoringAlertConfig_EmailAlertConfig) Reset
func (x *ModelMonitoringAlertConfig_EmailAlertConfig) Reset()
func (*ModelMonitoringAlertConfig_EmailAlertConfig) String
func (x *ModelMonitoringAlertConfig_EmailAlertConfig) String() string
ModelMonitoringAlertConfig_EmailAlertConfig_
type ModelMonitoringAlertConfig_EmailAlertConfig_ struct {
// Email alert config.
EmailAlertConfig *ModelMonitoringAlertConfig_EmailAlertConfig `protobuf:"bytes,1,opt,name=email_alert_config,json=emailAlertConfig,proto3,oneof"`
}
ModelMonitoringObjectiveConfig
type ModelMonitoringObjectiveConfig struct {
TrainingDataset *ModelMonitoringObjectiveConfig_TrainingDataset `protobuf:"bytes,1,opt,name=training_dataset,json=trainingDataset,proto3" json:"training_dataset,omitempty"`
TrainingPredictionSkewDetectionConfig *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig "" /* 178 byte string literal not displayed */
PredictionDriftDetectionConfig *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig "" /* 155 byte string literal not displayed */
ExplanationConfig *ModelMonitoringObjectiveConfig_ExplanationConfig `protobuf:"bytes,5,opt,name=explanation_config,json=explanationConfig,proto3" json:"explanation_config,omitempty"`
}
The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.
func (*ModelMonitoringObjectiveConfig) Descriptor
func (*ModelMonitoringObjectiveConfig) Descriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringObjectiveConfig.ProtoReflect.Descriptor instead.
func (*ModelMonitoringObjectiveConfig) GetExplanationConfig
func (x *ModelMonitoringObjectiveConfig) GetExplanationConfig() *ModelMonitoringObjectiveConfig_ExplanationConfig
func (*ModelMonitoringObjectiveConfig) GetPredictionDriftDetectionConfig
func (x *ModelMonitoringObjectiveConfig) GetPredictionDriftDetectionConfig() *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig
func (*ModelMonitoringObjectiveConfig) GetTrainingDataset
func (x *ModelMonitoringObjectiveConfig) GetTrainingDataset() *ModelMonitoringObjectiveConfig_TrainingDataset
func (*ModelMonitoringObjectiveConfig) GetTrainingPredictionSkewDetectionConfig
func (x *ModelMonitoringObjectiveConfig) GetTrainingPredictionSkewDetectionConfig() *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig
func (*ModelMonitoringObjectiveConfig) ProtoMessage
func (*ModelMonitoringObjectiveConfig) ProtoMessage()
func (*ModelMonitoringObjectiveConfig) ProtoReflect
func (x *ModelMonitoringObjectiveConfig) ProtoReflect() protoreflect.Message
func (*ModelMonitoringObjectiveConfig) Reset
func (x *ModelMonitoringObjectiveConfig) Reset()
func (*ModelMonitoringObjectiveConfig) String
func (x *ModelMonitoringObjectiveConfig) String() string
ModelMonitoringObjectiveConfig_ExplanationConfig
type ModelMonitoringObjectiveConfig_ExplanationConfig struct {
EnableFeatureAttributes bool "" /* 133 byte string literal not displayed */
ExplanationBaseline *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline `protobuf:"bytes,2,opt,name=explanation_baseline,json=explanationBaseline,proto3" json:"explanation_baseline,omitempty"`
}
The config for integrating with Vertex Explainable AI. Only applicable if the Model has explanation_spec populated.
func (*ModelMonitoringObjectiveConfig_ExplanationConfig) Descriptor
func (*ModelMonitoringObjectiveConfig_ExplanationConfig) Descriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringObjectiveConfig_ExplanationConfig.ProtoReflect.Descriptor instead.
func (*ModelMonitoringObjectiveConfig_ExplanationConfig) GetEnableFeatureAttributes
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) GetEnableFeatureAttributes() bool
func (*ModelMonitoringObjectiveConfig_ExplanationConfig) GetExplanationBaseline
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) GetExplanationBaseline() *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline
func (*ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoMessage
func (*ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoMessage()
func (*ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoReflect
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) ProtoReflect() protoreflect.Message
func (*ModelMonitoringObjectiveConfig_ExplanationConfig) Reset
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) Reset()
func (*ModelMonitoringObjectiveConfig_ExplanationConfig) String
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig) String() string
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline
type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline struct {
Destination isModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Destination `protobuf_oneof:"destination"`
PredictionFormat ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat "" /* 228 byte string literal not displayed */
}
Output from [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Descriptor
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Descriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline.ProtoReflect.Descriptor instead.
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetBigquery
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetBigquery() *BigQueryDestination
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetDestination
func (m *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetDestination() isModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Destination
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetGcs
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetGcs() *GcsDestination
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetPredictionFormat
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) GetPredictionFormat() ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoMessage
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoMessage()
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoReflect
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) ProtoReflect() protoreflect.Message
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Reset
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) Reset()
func (*ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) String
func (x *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline) String() string
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Bigquery
type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Bigquery struct {
// BigQuery location for BatchExplain output.
Bigquery *BigQueryDestination `protobuf:"bytes,3,opt,name=bigquery,proto3,oneof"`
}
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Gcs
type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_Gcs struct {
// Cloud Storage location for BatchExplain output.
Gcs *GcsDestination `protobuf:"bytes,2,opt,name=gcs,proto3,oneof"`
}
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat
type ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat int32
The storage format of the predictions generated BatchPrediction job.
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PREDICTION_FORMAT_UNSPECIFIED, ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_JSONL, ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_BIGQUERY
const (
// Should not be set.
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PREDICTION_FORMAT_UNSPECIFIED ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 0
// Predictions are in JSONL files.
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_JSONL ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 2
// Predictions are in BigQuery.
ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_BIGQUERY ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat = 3
)
func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Descriptor
func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Descriptor() protoreflect.EnumDescriptor
func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Enum
func (x ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Enum() *ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat
func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) EnumDescriptor
func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) EnumDescriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat.Descriptor instead.
func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Number
func (x ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Number() protoreflect.EnumNumber
func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) String
func (x ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) String() string
func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Type
func (ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline_PredictionFormat) Type() protoreflect.EnumType
ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig
type ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig struct {
DriftThresholds map[string]*ThresholdConfig "" /* 194 byte string literal not displayed */
AttributionScoreDriftThresholds map[string]*ThresholdConfig "" /* 246 byte string literal not displayed */
DefaultDriftThreshold *ThresholdConfig `protobuf:"bytes,5,opt,name=default_drift_threshold,json=defaultDriftThreshold,proto3" json:"default_drift_threshold,omitempty"`
}
The config for Prediction data drift detection.
func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Descriptor
func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Descriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig.ProtoReflect.Descriptor instead.
func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetAttributionScoreDriftThresholds
func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetAttributionScoreDriftThresholds() map[string]*ThresholdConfig
func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDefaultDriftThreshold
func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDefaultDriftThreshold() *ThresholdConfig
func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDriftThresholds
func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDriftThresholds() map[string]*ThresholdConfig
func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoMessage
func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoMessage()
func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoReflect
func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoReflect() protoreflect.Message
func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Reset
func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Reset()
func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) String
func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) String() string
ModelMonitoringObjectiveConfig_TrainingDataset
type ModelMonitoringObjectiveConfig_TrainingDataset struct {
DataSource isModelMonitoringObjectiveConfig_TrainingDataset_DataSource `protobuf_oneof:"data_source"`
DataFormat string `protobuf:"bytes,2,opt,name=data_format,json=dataFormat,proto3" json:"data_format,omitempty"`
TargetField string `protobuf:"bytes,6,opt,name=target_field,json=targetField,proto3" json:"target_field,omitempty"`
LoggingSamplingStrategy *SamplingStrategy "" /* 132 byte string literal not displayed */
}
Training Dataset information.
func (*ModelMonitoringObjectiveConfig_TrainingDataset) Descriptor
func (*ModelMonitoringObjectiveConfig_TrainingDataset) Descriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringObjectiveConfig_TrainingDataset.ProtoReflect.Descriptor instead.
func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetBigquerySource
func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetBigquerySource() *BigQuerySource
func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataFormat
func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataFormat() string
func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataSource
func (m *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataSource() isModelMonitoringObjectiveConfig_TrainingDataset_DataSource
func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataset
func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataset() string
func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetGcsSource
func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetGcsSource() *GcsSource
func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetLoggingSamplingStrategy
func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetLoggingSamplingStrategy() *SamplingStrategy
func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetTargetField
func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetTargetField() string
func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoMessage
func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoMessage()
func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoReflect
func (x *ModelMonitoringObjectiveConfig_TrainingDataset) ProtoReflect() protoreflect.Message
func (*ModelMonitoringObjectiveConfig_TrainingDataset) Reset
func (x *ModelMonitoringObjectiveConfig_TrainingDataset) Reset()
func (*ModelMonitoringObjectiveConfig_TrainingDataset) String
func (x *ModelMonitoringObjectiveConfig_TrainingDataset) String() string
ModelMonitoringObjectiveConfig_TrainingDataset_BigquerySource
type ModelMonitoringObjectiveConfig_TrainingDataset_BigquerySource struct {
// The BigQuery table of the unmanaged Dataset used to train this
// Model.
BigquerySource *BigQuerySource `protobuf:"bytes,5,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}
ModelMonitoringObjectiveConfig_TrainingDataset_Dataset
type ModelMonitoringObjectiveConfig_TrainingDataset_Dataset struct {
// The resource name of the Dataset used to train this Model.
Dataset string `protobuf:"bytes,3,opt,name=dataset,proto3,oneof"`
}
ModelMonitoringObjectiveConfig_TrainingDataset_GcsSource
type ModelMonitoringObjectiveConfig_TrainingDataset_GcsSource struct {
// The Google Cloud Storage uri of the unmanaged Dataset used to train
// this Model.
GcsSource *GcsSource `protobuf:"bytes,4,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}
ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig
type ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig struct {
SkewThresholds map[string]*ThresholdConfig "" /* 191 byte string literal not displayed */
AttributionScoreSkewThresholds map[string]*ThresholdConfig "" /* 243 byte string literal not displayed */
DefaultSkewThreshold *ThresholdConfig `protobuf:"bytes,6,opt,name=default_skew_threshold,json=defaultSkewThreshold,proto3" json:"default_skew_threshold,omitempty"`
}
The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.
func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Descriptor
func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Descriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig.ProtoReflect.Descriptor instead.
func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetAttributionScoreSkewThresholds
func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetAttributionScoreSkewThresholds() map[string]*ThresholdConfig
func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetDefaultSkewThreshold
func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetDefaultSkewThreshold() *ThresholdConfig
func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetSkewThresholds
func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetSkewThresholds() map[string]*ThresholdConfig
func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoMessage
func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoMessage()
func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoReflect
func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoReflect() protoreflect.Message
func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Reset
func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Reset()
func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) String
func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) String() string
ModelMonitoringStatsAnomalies
type ModelMonitoringStatsAnomalies struct {
Objective ModelDeploymentMonitoringObjectiveType "" /* 143 byte string literal not displayed */
DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
AnomalyCount int32 `protobuf:"varint,3,opt,name=anomaly_count,json=anomalyCount,proto3" json:"anomaly_count,omitempty"`
FeatureStats []*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies `protobuf:"bytes,4,rep,name=feature_stats,json=featureStats,proto3" json:"feature_stats,omitempty"`
}
Statistics and anomalies generated by Model Monitoring.
func (*ModelMonitoringStatsAnomalies) Descriptor
func (*ModelMonitoringStatsAnomalies) Descriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringStatsAnomalies.ProtoReflect.Descriptor instead.
func (*ModelMonitoringStatsAnomalies) GetAnomalyCount
func (x *ModelMonitoringStatsAnomalies) GetAnomalyCount() int32
func (*ModelMonitoringStatsAnomalies) GetDeployedModelId
func (x *ModelMonitoringStatsAnomalies) GetDeployedModelId() string
func (*ModelMonitoringStatsAnomalies) GetFeatureStats
func (x *ModelMonitoringStatsAnomalies) GetFeatureStats() []*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies
func (*ModelMonitoringStatsAnomalies) GetObjective
func (x *ModelMonitoringStatsAnomalies) GetObjective() ModelDeploymentMonitoringObjectiveType
func (*ModelMonitoringStatsAnomalies) ProtoMessage
func (*ModelMonitoringStatsAnomalies) ProtoMessage()
func (*ModelMonitoringStatsAnomalies) ProtoReflect
func (x *ModelMonitoringStatsAnomalies) ProtoReflect() protoreflect.Message
func (*ModelMonitoringStatsAnomalies) Reset
func (x *ModelMonitoringStatsAnomalies) Reset()
func (*ModelMonitoringStatsAnomalies) String
func (x *ModelMonitoringStatsAnomalies) String() string
ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies
type ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies struct {
// Display Name of the Feature.
FeatureDisplayName string `protobuf:"bytes,1,opt,name=feature_display_name,json=featureDisplayName,proto3" json:"feature_display_name,omitempty"`
// Threshold for anomaly detection.
Threshold *ThresholdConfig `protobuf:"bytes,3,opt,name=threshold,proto3" json:"threshold,omitempty"`
// Stats calculated for the Training Dataset.
TrainingStats *FeatureStatsAnomaly `protobuf:"bytes,4,opt,name=training_stats,json=trainingStats,proto3" json:"training_stats,omitempty"`
// A list of historical stats generated by different time window's
// Prediction Dataset.
PredictionStats []*FeatureStatsAnomaly `protobuf:"bytes,5,rep,name=prediction_stats,json=predictionStats,proto3" json:"prediction_stats,omitempty"`
// contains filtered or unexported fields
}
Historical Stats (and Anomalies) for a specific Feature.
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Descriptor
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Descriptor() ([]byte, []int)
Deprecated: Use ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies.ProtoReflect.Descriptor instead.
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetFeatureDisplayName
func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetFeatureDisplayName() string
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetPredictionStats
func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetPredictionStats() []*FeatureStatsAnomaly
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetThreshold
func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetThreshold() *ThresholdConfig
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetTrainingStats
func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetTrainingStats() *FeatureStatsAnomaly
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoMessage
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoMessage()
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoReflect
func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoReflect() protoreflect.Message
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Reset
func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Reset()
func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) String
func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) String() string
ModelServiceClient
type ModelServiceClient interface {
// Uploads a Model artifact into Vertex AI.
UploadModel(ctx context.Context, in *UploadModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Gets a Model.
GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error)
// Lists Models in a Location.
ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error)
// Lists versions of the specified model.
ListModelVersions(ctx context.Context, in *ListModelVersionsRequest, opts ...grpc.CallOption) (*ListModelVersionsResponse, error)
// Updates a Model.
UpdateModel(ctx context.Context, in *UpdateModelRequest, opts ...grpc.CallOption) (*Model, error)
// Deletes a Model.
//
// A model cannot be deleted if any
// [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
// model in its
// [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
// field.
DeleteModel(ctx context.Context, in *DeleteModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Deletes a Model version.
//
// Model version can only be deleted if there are no [DeployedModels][]
// created from it. Deleting the only version in the Model is not allowed. Use
// [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for
// deleting the Model instead.
DeleteModelVersion(ctx context.Context, in *DeleteModelVersionRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Merges a set of aliases for a Model version.
MergeVersionAliases(ctx context.Context, in *MergeVersionAliasesRequest, opts ...grpc.CallOption) (*Model, error)
// Exports a trained, exportable Model to a location specified by the
// user. A Model is considered to be exportable if it has at least one
// [supported export
// format][google.cloud.aiplatform.v1.Model.supported_export_formats].
ExportModel(ctx context.Context, in *ExportModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Copies an already existing Vertex AI Model into the specified Location.
// The source Model must exist in the same Project.
// When copying custom Models, the users themselves are responsible for
// [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be
// region-agnostic, as well as making sure that any resources (e.g. files) it
// depends on remain accessible.
CopyModel(ctx context.Context, in *CopyModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Imports an externally generated ModelEvaluation.
ImportModelEvaluation(ctx context.Context, in *ImportModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error)
// Imports a list of externally generated ModelEvaluationSlice.
BatchImportModelEvaluationSlices(ctx context.Context, in *BatchImportModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*BatchImportModelEvaluationSlicesResponse, error)
// Gets a ModelEvaluation.
GetModelEvaluation(ctx context.Context, in *GetModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error)
// Lists ModelEvaluations in a Model.
ListModelEvaluations(ctx context.Context, in *ListModelEvaluationsRequest, opts ...grpc.CallOption) (*ListModelEvaluationsResponse, error)
// Gets a ModelEvaluationSlice.
GetModelEvaluationSlice(ctx context.Context, in *GetModelEvaluationSliceRequest, opts ...grpc.CallOption) (*ModelEvaluationSlice, error)
// Lists ModelEvaluationSlices in a ModelEvaluation.
ListModelEvaluationSlices(ctx context.Context, in *ListModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*ListModelEvaluationSlicesResponse, error)
}
ModelServiceClient is the client API for ModelService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewModelServiceClient
func NewModelServiceClient(cc grpc.ClientConnInterface) ModelServiceClient
ModelServiceServer
type ModelServiceServer interface {
// Uploads a Model artifact into Vertex AI.
UploadModel(context.Context, *UploadModelRequest) (*longrunning.Operation, error)
// Gets a Model.
GetModel(context.Context, *GetModelRequest) (*Model, error)
// Lists Models in a Location.
ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)
// Lists versions of the specified model.
ListModelVersions(context.Context, *ListModelVersionsRequest) (*ListModelVersionsResponse, error)
// Updates a Model.
UpdateModel(context.Context, *UpdateModelRequest) (*Model, error)
// Deletes a Model.
//
// A model cannot be deleted if any
// [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the
// model in its
// [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models]
// field.
DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error)
// Deletes a Model version.
//
// Model version can only be deleted if there are no [DeployedModels][]
// created from it. Deleting the only version in the Model is not allowed. Use
// [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for
// deleting the Model instead.
DeleteModelVersion(context.Context, *DeleteModelVersionRequest) (*longrunning.Operation, error)
// Merges a set of aliases for a Model version.
MergeVersionAliases(context.Context, *MergeVersionAliasesRequest) (*Model, error)
// Exports a trained, exportable Model to a location specified by the
// user. A Model is considered to be exportable if it has at least one
// [supported export
// format][google.cloud.aiplatform.v1.Model.supported_export_formats].
ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error)
// Copies an already existing Vertex AI Model into the specified Location.
// The source Model must exist in the same Project.
// When copying custom Models, the users themselves are responsible for
// [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be
// region-agnostic, as well as making sure that any resources (e.g. files) it
// depends on remain accessible.
CopyModel(context.Context, *CopyModelRequest) (*longrunning.Operation, error)
// Imports an externally generated ModelEvaluation.
ImportModelEvaluation(context.Context, *ImportModelEvaluationRequest) (*ModelEvaluation, error)
// Imports a list of externally generated ModelEvaluationSlice.
BatchImportModelEvaluationSlices(context.Context, *BatchImportModelEvaluationSlicesRequest) (*BatchImportModelEvaluationSlicesResponse, error)
// Gets a ModelEvaluation.
GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error)
// Lists ModelEvaluations in a Model.
ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error)
// Gets a ModelEvaluationSlice.
GetModelEvaluationSlice(context.Context, *GetModelEvaluationSliceRequest) (*ModelEvaluationSlice, error)
// Lists ModelEvaluationSlices in a ModelEvaluation.
ListModelEvaluationSlices(context.Context, *ListModelEvaluationSlicesRequest) (*ListModelEvaluationSlicesResponse, error)
}
ModelServiceServer is the server API for ModelService service.
ModelSourceInfo
type ModelSourceInfo struct {
SourceType ModelSourceInfo_ModelSourceType "" /* 156 byte string literal not displayed */
}
Detail description of the source information of the model.
func (*ModelSourceInfo) Descriptor
func (*ModelSourceInfo) Descriptor() ([]byte, []int)
Deprecated: Use ModelSourceInfo.ProtoReflect.Descriptor instead.
func (*ModelSourceInfo) GetSourceType
func (x *ModelSourceInfo) GetSourceType() ModelSourceInfo_ModelSourceType
func (*ModelSourceInfo) ProtoMessage
func (*ModelSourceInfo) ProtoMessage()
func (*ModelSourceInfo) ProtoReflect
func (x *ModelSourceInfo) ProtoReflect() protoreflect.Message
func (*ModelSourceInfo) Reset
func (x *ModelSourceInfo) Reset()
func (*ModelSourceInfo) String
func (x *ModelSourceInfo) String() string
ModelSourceInfo_ModelSourceType
type ModelSourceInfo_ModelSourceType int32
Source of the model.
ModelSourceInfo_MODEL_SOURCE_TYPE_UNSPECIFIED, ModelSourceInfo_AUTOML, ModelSourceInfo_CUSTOM, ModelSourceInfo_BQML
const (
// Should not be used.
ModelSourceInfo_MODEL_SOURCE_TYPE_UNSPECIFIED ModelSourceInfo_ModelSourceType = 0
// The Model is uploaded by automl training pipeline.
ModelSourceInfo_AUTOML ModelSourceInfo_ModelSourceType = 1
// The Model is uploaded by user or custom training pipeline.
ModelSourceInfo_CUSTOM ModelSourceInfo_ModelSourceType = 2
// The Model is registered and sync'ed from BigQuery ML.
ModelSourceInfo_BQML ModelSourceInfo_ModelSourceType = 3
)
func (ModelSourceInfo_ModelSourceType) Descriptor
func (ModelSourceInfo_ModelSourceType) Descriptor() protoreflect.EnumDescriptor
func (ModelSourceInfo_ModelSourceType) Enum
func (x ModelSourceInfo_ModelSourceType) Enum() *ModelSourceInfo_ModelSourceType
func (ModelSourceInfo_ModelSourceType) EnumDescriptor
func (ModelSourceInfo_ModelSourceType) EnumDescriptor() ([]byte, []int)
Deprecated: Use ModelSourceInfo_ModelSourceType.Descriptor instead.
func (ModelSourceInfo_ModelSourceType) Number
func (x ModelSourceInfo_ModelSourceType) Number() protoreflect.EnumNumber
func (ModelSourceInfo_ModelSourceType) String
func (x ModelSourceInfo_ModelSourceType) String() string
func (ModelSourceInfo_ModelSourceType) Type
func (ModelSourceInfo_ModelSourceType) Type() protoreflect.EnumType
Model_DeploymentResourcesType
type Model_DeploymentResourcesType int32
Identifies a type of Model's prediction resources.
Model_DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED, Model_DEDICATED_RESOURCES, Model_AUTOMATIC_RESOURCES, Model_SHARED_RESOURCES
const (
// Should not be used.
Model_DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED Model_DeploymentResourcesType = 0
// Resources that are dedicated to the
// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel], and that need
// a higher degree of manual configuration.
Model_DEDICATED_RESOURCES Model_DeploymentResourcesType = 1
// Resources that to large degree are decided by Vertex AI, and require
// only a modest additional configuration.
Model_AUTOMATIC_RESOURCES Model_DeploymentResourcesType = 2
// Resources that can be shared by multiple
// [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]. A
// pre-configured [DeploymentResourcePool][] is required.
Model_SHARED_RESOURCES Model_DeploymentResourcesType = 3
)
func (Model_DeploymentResourcesType) Descriptor
func (Model_DeploymentResourcesType) Descriptor() protoreflect.EnumDescriptor
func (Model_DeploymentResourcesType) Enum
func (x Model_DeploymentResourcesType) Enum() *Model_DeploymentResourcesType
func (Model_DeploymentResourcesType) EnumDescriptor
func (Model_DeploymentResourcesType) EnumDescriptor() ([]byte, []int)
Deprecated: Use Model_DeploymentResourcesType.Descriptor instead.
func (Model_DeploymentResourcesType) Number
func (x Model_DeploymentResourcesType) Number() protoreflect.EnumNumber
func (Model_DeploymentResourcesType) String
func (x Model_DeploymentResourcesType) String() string
func (Model_DeploymentResourcesType) Type
func (Model_DeploymentResourcesType) Type() protoreflect.EnumType
Model_ExportFormat
type Model_ExportFormat struct {
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
ExportableContents []Model_ExportFormat_ExportableContent "" /* 192 byte string literal not displayed */
}
Represents export format supported by the Model. All formats export to Google Cloud Storage.
func (*Model_ExportFormat) Descriptor
func (*Model_ExportFormat) Descriptor() ([]byte, []int)
Deprecated: Use Model_ExportFormat.ProtoReflect.Descriptor instead.
func (*Model_ExportFormat) GetExportableContents
func (x *Model_ExportFormat) GetExportableContents() []Model_ExportFormat_ExportableContent
func (*Model_ExportFormat) GetId
func (x *Model_ExportFormat) GetId() string
func (*Model_ExportFormat) ProtoMessage
func (*Model_ExportFormat) ProtoMessage()
func (*Model_ExportFormat) ProtoReflect
func (x *Model_ExportFormat) ProtoReflect() protoreflect.Message
func (*Model_ExportFormat) Reset
func (x *Model_ExportFormat) Reset()
func (*Model_ExportFormat) String
func (x *Model_ExportFormat) String() string
Model_ExportFormat_ExportableContent
type Model_ExportFormat_ExportableContent int32
The Model content that can be exported.
Model_ExportFormat_EXPORTABLE_CONTENT_UNSPECIFIED, Model_ExportFormat_ARTIFACT, Model_ExportFormat_IMAGE
const (
// Should not be used.
Model_ExportFormat_EXPORTABLE_CONTENT_UNSPECIFIED Model_ExportFormat_ExportableContent = 0
// Model artifact and any of its supported files. Will be exported to the
// location specified by the `artifactDestination` field of the
// [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
// object.
Model_ExportFormat_ARTIFACT Model_ExportFormat_ExportableContent = 1
// The container image that is to be used when deploying this Model. Will
// be exported to the location specified by the `imageDestination` field
// of the
// [ExportModelRequest.output_config][google.cloud.aiplatform.v1.ExportModelRequest.output_config]
// object.
Model_ExportFormat_IMAGE Model_ExportFormat_ExportableContent = 2
)
func (Model_ExportFormat_ExportableContent) Descriptor
func (Model_ExportFormat_ExportableContent) Descriptor() protoreflect.EnumDescriptor
func (Model_ExportFormat_ExportableContent) Enum
func (x Model_ExportFormat_ExportableContent) Enum() *Model_ExportFormat_ExportableContent
func (Model_ExportFormat_ExportableContent) EnumDescriptor
func (Model_ExportFormat_ExportableContent) EnumDescriptor() ([]byte, []int)
Deprecated: Use Model_ExportFormat_ExportableContent.Descriptor instead.
func (Model_ExportFormat_ExportableContent) Number
func (x Model_ExportFormat_ExportableContent) Number() protoreflect.EnumNumber
func (Model_ExportFormat_ExportableContent) String
func (x Model_ExportFormat_ExportableContent) String() string
func (Model_ExportFormat_ExportableContent) Type
func (Model_ExportFormat_ExportableContent) Type() protoreflect.EnumType
Model_OriginalModelInfo
type Model_OriginalModelInfo struct {
// Output only. The resource name of the Model this Model is a copy of,
// including the revision. Format:
// `projects/{project}/locations/{location}/models/{model_id}@{version_id}`
Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
// contains filtered or unexported fields
}
Contains information about the original Model if this Model is a copy.
func (*Model_OriginalModelInfo) Descriptor
func (*Model_OriginalModelInfo) Descriptor() ([]byte, []int)
Deprecated: Use Model_OriginalModelInfo.ProtoReflect.Descriptor instead.
func (*Model_OriginalModelInfo) GetModel
func (x *Model_OriginalModelInfo) GetModel() string
func (*Model_OriginalModelInfo) ProtoMessage
func (*Model_OriginalModelInfo) ProtoMessage()
func (*Model_OriginalModelInfo) ProtoReflect
func (x *Model_OriginalModelInfo) ProtoReflect() protoreflect.Message
func (*Model_OriginalModelInfo) Reset
func (x *Model_OriginalModelInfo) Reset()
func (*Model_OriginalModelInfo) String
func (x *Model_OriginalModelInfo) String() string
MutateDeployedIndexOperationMetadata
type MutateDeployedIndexOperationMetadata struct {
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// The unique index id specified by user
DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
func (*MutateDeployedIndexOperationMetadata) Descriptor
func (*MutateDeployedIndexOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use MutateDeployedIndexOperationMetadata.ProtoReflect.Descriptor instead.
func (*MutateDeployedIndexOperationMetadata) GetDeployedIndexId
func (x *MutateDeployedIndexOperationMetadata) GetDeployedIndexId() string
func (*MutateDeployedIndexOperationMetadata) GetGenericMetadata
func (x *MutateDeployedIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*MutateDeployedIndexOperationMetadata) ProtoMessage
func (*MutateDeployedIndexOperationMetadata) ProtoMessage()
func (*MutateDeployedIndexOperationMetadata) ProtoReflect
func (x *MutateDeployedIndexOperationMetadata) ProtoReflect() protoreflect.Message
func (*MutateDeployedIndexOperationMetadata) Reset
func (x *MutateDeployedIndexOperationMetadata) Reset()
func (*MutateDeployedIndexOperationMetadata) String
func (x *MutateDeployedIndexOperationMetadata) String() string
MutateDeployedIndexRequest
type MutateDeployedIndexRequest struct {
// Required. The name of the IndexEndpoint resource into which to deploy an
// Index. Format:
// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
// Required. The DeployedIndex to be updated within the IndexEndpoint.
// Currently, the updatable fields are [DeployedIndex][automatic_resources]
// and [DeployedIndex][dedicated_resources]
DeployedIndex *DeployedIndex `protobuf:"bytes,2,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
func (*MutateDeployedIndexRequest) Descriptor
func (*MutateDeployedIndexRequest) Descriptor() ([]byte, []int)
Deprecated: Use MutateDeployedIndexRequest.ProtoReflect.Descriptor instead.
func (*MutateDeployedIndexRequest) GetDeployedIndex
func (x *MutateDeployedIndexRequest) GetDeployedIndex() *DeployedIndex
func (*MutateDeployedIndexRequest) GetIndexEndpoint
func (x *MutateDeployedIndexRequest) GetIndexEndpoint() string
func (*MutateDeployedIndexRequest) ProtoMessage
func (*MutateDeployedIndexRequest) ProtoMessage()
func (*MutateDeployedIndexRequest) ProtoReflect
func (x *MutateDeployedIndexRequest) ProtoReflect() protoreflect.Message
func (*MutateDeployedIndexRequest) Reset
func (x *MutateDeployedIndexRequest) Reset()
func (*MutateDeployedIndexRequest) String
func (x *MutateDeployedIndexRequest) String() string
MutateDeployedIndexResponse
type MutateDeployedIndexResponse struct {
// The DeployedIndex that had been updated in the IndexEndpoint.
DeployedIndex *DeployedIndex `protobuf:"bytes,1,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
// contains filtered or unexported fields
}
Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
func (*MutateDeployedIndexResponse) Descriptor
func (*MutateDeployedIndexResponse) Descriptor() ([]byte, []int)
Deprecated: Use MutateDeployedIndexResponse.ProtoReflect.Descriptor instead.
func (*MutateDeployedIndexResponse) GetDeployedIndex
func (x *MutateDeployedIndexResponse) GetDeployedIndex() *DeployedIndex
func (*MutateDeployedIndexResponse) ProtoMessage
func (*MutateDeployedIndexResponse) ProtoMessage()
func (*MutateDeployedIndexResponse) ProtoReflect
func (x *MutateDeployedIndexResponse) ProtoReflect() protoreflect.Message
func (*MutateDeployedIndexResponse) Reset
func (x *MutateDeployedIndexResponse) Reset()
func (*MutateDeployedIndexResponse) String
func (x *MutateDeployedIndexResponse) String() string
NasJob
type NasJob struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
NasJobSpec *NasJobSpec `protobuf:"bytes,4,opt,name=nas_job_spec,json=nasJobSpec,proto3" json:"nas_job_spec,omitempty"`
NasJobOutput *NasJobOutput `protobuf:"bytes,5,opt,name=nas_job_output,json=nasJobOutput,proto3" json:"nas_job_output,omitempty"`
State JobState `protobuf:"varint,6,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.JobState" json:"state,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
StartTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Error *status.Status `protobuf:"bytes,11,opt,name=error,proto3" json:"error,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
EncryptionSpec *EncryptionSpec `protobuf:"bytes,13,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
EnableRestrictedImageTraining bool "" /* 154 byte string literal not displayed */
}
Represents a Neural Architecture Search (NAS) job.
func (*NasJob) Descriptor
Deprecated: Use NasJob.ProtoReflect.Descriptor instead.
func (*NasJob) GetCreateTime
func (x *NasJob) GetCreateTime() *timestamppb.Timestamp
func (*NasJob) GetDisplayName
func (*NasJob) GetEnableRestrictedImageTraining
func (*NasJob) GetEncryptionSpec
func (x *NasJob) GetEncryptionSpec() *EncryptionSpec
func (*NasJob) GetEndTime
func (x *NasJob) GetEndTime() *timestamppb.Timestamp
func (*NasJob) GetError
func (*NasJob) GetLabels
func (*NasJob) GetName
func (*NasJob) GetNasJobOutput
func (x *NasJob) GetNasJobOutput() *NasJobOutput
func (*NasJob) GetNasJobSpec
func (x *NasJob) GetNasJobSpec() *NasJobSpec
func (*NasJob) GetStartTime
func (x *NasJob) GetStartTime() *timestamppb.Timestamp
func (*NasJob) GetState
func (*NasJob) GetUpdateTime
func (x *NasJob) GetUpdateTime() *timestamppb.Timestamp
func (*NasJob) ProtoMessage
func (*NasJob) ProtoMessage()
func (*NasJob) ProtoReflect
func (x *NasJob) ProtoReflect() protoreflect.Message
func (*NasJob) Reset
func (x *NasJob) Reset()
func (*NasJob) String
NasJobOutput
type NasJobOutput struct {
// The output of this Neural Architecture Search (NAS) job.
//
// Types that are assignable to Output:
// *NasJobOutput_MultiTrialJobOutput_
Output isNasJobOutput_Output `protobuf_oneof:"output"`
// contains filtered or unexported fields
}
Represents a uCAIP NasJob output.
func (*NasJobOutput) Descriptor
func (*NasJobOutput) Descriptor() ([]byte, []int)
Deprecated: Use NasJobOutput.ProtoReflect.Descriptor instead.
func (*NasJobOutput) GetMultiTrialJobOutput
func (x *NasJobOutput) GetMultiTrialJobOutput() *NasJobOutput_MultiTrialJobOutput
func (*NasJobOutput) GetOutput
func (m *NasJobOutput) GetOutput() isNasJobOutput_Output
func (*NasJobOutput) ProtoMessage
func (*NasJobOutput) ProtoMessage()
func (*NasJobOutput) ProtoReflect
func (x *NasJobOutput) ProtoReflect() protoreflect.Message
func (*NasJobOutput) Reset
func (x *NasJobOutput) Reset()
func (*NasJobOutput) String
func (x *NasJobOutput) String() string
NasJobOutput_MultiTrialJobOutput
type NasJobOutput_MultiTrialJobOutput struct {
// Output only. List of NasTrials that were started as part of search stage.
SearchTrials []*NasTrial `protobuf:"bytes,1,rep,name=search_trials,json=searchTrials,proto3" json:"search_trials,omitempty"`
// Output only. List of NasTrials that were started as part of train stage.
TrainTrials []*NasTrial `protobuf:"bytes,2,rep,name=train_trials,json=trainTrials,proto3" json:"train_trials,omitempty"`
// contains filtered or unexported fields
}
The output of a multi-trial Neural Architecture Search (NAS) jobs.
func (*NasJobOutput_MultiTrialJobOutput) Descriptor
func (*NasJobOutput_MultiTrialJobOutput) Descriptor() ([]byte, []int)
Deprecated: Use NasJobOutput_MultiTrialJobOutput.ProtoReflect.Descriptor instead.
func (*NasJobOutput_MultiTrialJobOutput) GetSearchTrials
func (x *NasJobOutput_MultiTrialJobOutput) GetSearchTrials() []*NasTrial
func (*NasJobOutput_MultiTrialJobOutput) GetTrainTrials
func (x *NasJobOutput_MultiTrialJobOutput) GetTrainTrials() []*NasTrial
func (*NasJobOutput_MultiTrialJobOutput) ProtoMessage
func (*NasJobOutput_MultiTrialJobOutput) ProtoMessage()
func (*NasJobOutput_MultiTrialJobOutput) ProtoReflect
func (x *NasJobOutput_MultiTrialJobOutput) ProtoReflect() protoreflect.Message
func (*NasJobOutput_MultiTrialJobOutput) Reset
func (x *NasJobOutput_MultiTrialJobOutput) Reset()
func (*NasJobOutput_MultiTrialJobOutput) String
func (x *NasJobOutput_MultiTrialJobOutput) String() string
NasJobOutput_MultiTrialJobOutput_
type NasJobOutput_MultiTrialJobOutput_ struct {
// Output only. The output of this multi-trial Neural Architecture Search
// (NAS) job.
MultiTrialJobOutput *NasJobOutput_MultiTrialJobOutput `protobuf:"bytes,1,opt,name=multi_trial_job_output,json=multiTrialJobOutput,proto3,oneof"`
}
NasJobSpec
type NasJobSpec struct {
// The Neural Architecture Search (NAS) algorithm specification.
//
// Types that are assignable to NasAlgorithmSpec:
// *NasJobSpec_MultiTrialAlgorithmSpec_
NasAlgorithmSpec isNasJobSpec_NasAlgorithmSpec `protobuf_oneof:"nas_algorithm_spec"`
// The ID of the existing NasJob in the same Project and Location
// which will be used to resume search. search_space_spec and
// nas_algorithm_spec are obtained from previous NasJob hence should not
// provide them again for this NasJob.
ResumeNasJobId string `protobuf:"bytes,3,opt,name=resume_nas_job_id,json=resumeNasJobId,proto3" json:"resume_nas_job_id,omitempty"`
// It defines the search space for Neural Architecture Search (NAS).
SearchSpaceSpec string `protobuf:"bytes,1,opt,name=search_space_spec,json=searchSpaceSpec,proto3" json:"search_space_spec,omitempty"`
// contains filtered or unexported fields
}
Represents the spec of a NasJob.
func (*NasJobSpec) Descriptor
func (*NasJobSpec) Descriptor() ([]byte, []int)
Deprecated: Use NasJobSpec.ProtoReflect.Descriptor instead.
func (*NasJobSpec) GetMultiTrialAlgorithmSpec
func (x *NasJobSpec) GetMultiTrialAlgorithmSpec() *NasJobSpec_MultiTrialAlgorithmSpec
func (*NasJobSpec) GetNasAlgorithmSpec
func (m *NasJobSpec) GetNasAlgorithmSpec() isNasJobSpec_NasAlgorithmSpec
func (*NasJobSpec) GetResumeNasJobId
func (x *NasJobSpec) GetResumeNasJobId() string
func (*NasJobSpec) GetSearchSpaceSpec
func (x *NasJobSpec) GetSearchSpaceSpec() string
func (*NasJobSpec) ProtoMessage
func (*NasJobSpec) ProtoMessage()
func (*NasJobSpec) ProtoReflect
func (x *NasJobSpec) ProtoReflect() protoreflect.Message
func (*NasJobSpec) Reset
func (x *NasJobSpec) Reset()
func (*NasJobSpec) String
func (x *NasJobSpec) String() string
NasJobSpec_MultiTrialAlgorithmSpec
type NasJobSpec_MultiTrialAlgorithmSpec struct {
MultiTrialAlgorithm NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm "" /* 208 byte string literal not displayed */
Metric *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec `protobuf:"bytes,2,opt,name=metric,proto3" json:"metric,omitempty"`
SearchTrialSpec *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec `protobuf:"bytes,3,opt,name=search_trial_spec,json=searchTrialSpec,proto3" json:"search_trial_spec,omitempty"`
TrainTrialSpec *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec `protobuf:"bytes,4,opt,name=train_trial_spec,json=trainTrialSpec,proto3" json:"train_trial_spec,omitempty"`
}
The spec of multi-trial Neural Architecture Search (NAS).
func (*NasJobSpec_MultiTrialAlgorithmSpec) Descriptor
func (*NasJobSpec_MultiTrialAlgorithmSpec) Descriptor() ([]byte, []int)
Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec.ProtoReflect.Descriptor instead.
func (*NasJobSpec_MultiTrialAlgorithmSpec) GetMetric
func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetMetric() *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec
func (*NasJobSpec_MultiTrialAlgorithmSpec) GetMultiTrialAlgorithm
func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetMultiTrialAlgorithm() NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm
func (*NasJobSpec_MultiTrialAlgorithmSpec) GetSearchTrialSpec
func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetSearchTrialSpec() *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec
func (*NasJobSpec_MultiTrialAlgorithmSpec) GetTrainTrialSpec
func (x *NasJobSpec_MultiTrialAlgorithmSpec) GetTrainTrialSpec() *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec
func (*NasJobSpec_MultiTrialAlgorithmSpec) ProtoMessage
func (*NasJobSpec_MultiTrialAlgorithmSpec) ProtoMessage()
func (*NasJobSpec_MultiTrialAlgorithmSpec) ProtoReflect
func (x *NasJobSpec_MultiTrialAlgorithmSpec) ProtoReflect() protoreflect.Message
func (*NasJobSpec_MultiTrialAlgorithmSpec) Reset
func (x *NasJobSpec_MultiTrialAlgorithmSpec) Reset()
func (*NasJobSpec_MultiTrialAlgorithmSpec) String
func (x *NasJobSpec_MultiTrialAlgorithmSpec) String() string
NasJobSpec_MultiTrialAlgorithmSpec_
type NasJobSpec_MultiTrialAlgorithmSpec_ struct {
// The spec of multi-trial algorithms.
MultiTrialAlgorithmSpec *NasJobSpec_MultiTrialAlgorithmSpec `protobuf:"bytes,2,opt,name=multi_trial_algorithm_spec,json=multiTrialAlgorithmSpec,proto3,oneof"`
}
NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec
type NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec struct {
MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`
Goal NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType "" /* 149 byte string literal not displayed */
}
Represents a metric to optimize.
func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Descriptor
func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Descriptor() ([]byte, []int)
Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec.ProtoReflect.Descriptor instead.
func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetGoal
func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetGoal() NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType
func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetMetricId
func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) GetMetricId() string
func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoMessage
func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoMessage()
func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoReflect
func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) ProtoReflect() protoreflect.Message
func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Reset
func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) Reset()
func (*NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) String
func (x *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec) String() string
NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType
type NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType int32
The available types of optimization goals.
NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GOAL_TYPE_UNSPECIFIED, NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_MAXIMIZE, NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_MINIMIZE
const (
// Goal Type will default to maximize.
NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GOAL_TYPE_UNSPECIFIED NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType = 0
// Maximize the goal metric.
NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_MAXIMIZE NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType = 1
// Minimize the goal metric.
NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_MINIMIZE NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType = 2
)
func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Descriptor
func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Descriptor() protoreflect.EnumDescriptor
func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Enum
func (x NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Enum() *NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType
func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) EnumDescriptor
func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) EnumDescriptor() ([]byte, []int)
Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType.Descriptor instead.
func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Number
func (x NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Number() protoreflect.EnumNumber
func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) String
func (x NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) String() string
func (NasJobSpec_MultiTrialAlgorithmSpec_MetricSpec_GoalType) Type
NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm
type NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm int32
The available types of multi-trial algorithms.
NasJobSpec_MultiTrialAlgorithmSpec_MULTI_TRIAL_ALGORITHM_UNSPECIFIED, NasJobSpec_MultiTrialAlgorithmSpec_REINFORCEMENT_LEARNING, NasJobSpec_MultiTrialAlgorithmSpec_GRID_SEARCH
const (
// Defaults to `REINFORCEMENT_LEARNING`.
NasJobSpec_MultiTrialAlgorithmSpec_MULTI_TRIAL_ALGORITHM_UNSPECIFIED NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm = 0
// The Reinforcement Learning Algorithm for Multi-trial Neural
// Architecture Search (NAS).
NasJobSpec_MultiTrialAlgorithmSpec_REINFORCEMENT_LEARNING NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm = 1
// The Grid Search Algorithm for Multi-trial Neural
// Architecture Search (NAS).
NasJobSpec_MultiTrialAlgorithmSpec_GRID_SEARCH NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm = 2
)
func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Descriptor
func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Descriptor() protoreflect.EnumDescriptor
func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Enum
func (x NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Enum() *NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm
func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) EnumDescriptor
func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) EnumDescriptor() ([]byte, []int)
Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm.Descriptor instead.
func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Number
func (x NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Number() protoreflect.EnumNumber
func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) String
func (x NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) String() string
func (NasJobSpec_MultiTrialAlgorithmSpec_MultiTrialAlgorithm) Type
NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec
type NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec struct {
SearchTrialJobSpec *CustomJobSpec `protobuf:"bytes,1,opt,name=search_trial_job_spec,json=searchTrialJobSpec,proto3" json:"search_trial_job_spec,omitempty"`
MaxTrialCount int32 `protobuf:"varint,2,opt,name=max_trial_count,json=maxTrialCount,proto3" json:"max_trial_count,omitempty"`
MaxParallelTrialCount int32 "" /* 129 byte string literal not displayed */
MaxFailedTrialCount int32 `protobuf:"varint,4,opt,name=max_failed_trial_count,json=maxFailedTrialCount,proto3" json:"max_failed_trial_count,omitempty"`
}
Represent spec for search trials.
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Descriptor
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Descriptor() ([]byte, []int)
Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec.ProtoReflect.Descriptor instead.
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxFailedTrialCount
func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxFailedTrialCount() int32
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxParallelTrialCount
func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxParallelTrialCount() int32
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxTrialCount
func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetMaxTrialCount() int32
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetSearchTrialJobSpec
func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) GetSearchTrialJobSpec() *CustomJobSpec
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoMessage
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoMessage()
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoReflect
func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) ProtoReflect() protoreflect.Message
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Reset
func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) Reset()
func (*NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) String
func (x *NasJobSpec_MultiTrialAlgorithmSpec_SearchTrialSpec) String() string
NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec
type NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec struct {
TrainTrialJobSpec *CustomJobSpec `protobuf:"bytes,1,opt,name=train_trial_job_spec,json=trainTrialJobSpec,proto3" json:"train_trial_job_spec,omitempty"`
MaxParallelTrialCount int32 "" /* 129 byte string literal not displayed */
Frequency int32 `protobuf:"varint,3,opt,name=frequency,proto3" json:"frequency,omitempty"`
}
Represent spec for train trials.
func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Descriptor
func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Descriptor() ([]byte, []int)
Deprecated: Use NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec.ProtoReflect.Descriptor instead.
func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetFrequency
func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetFrequency() int32
func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetMaxParallelTrialCount
func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetMaxParallelTrialCount() int32
func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetTrainTrialJobSpec
func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) GetTrainTrialJobSpec() *CustomJobSpec
func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoMessage
func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoMessage()
func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoReflect
func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) ProtoReflect() protoreflect.Message
func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Reset
func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) Reset()
func (*NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) String
func (x *NasJobSpec_MultiTrialAlgorithmSpec_TrainTrialSpec) String() string
NasTrial
type NasTrial struct {
// Output only. The identifier of the NasTrial assigned by the service.
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
// Output only. The detailed state of the NasTrial.
State NasTrial_State `protobuf:"varint,2,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.NasTrial_State" json:"state,omitempty"`
// Output only. The final measurement containing the objective value.
FinalMeasurement *Measurement `protobuf:"bytes,3,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`
// Output only. Time when the NasTrial was started.
StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
// Output only. Time when the NasTrial's status changed to `SUCCEEDED` or
// `INFEASIBLE`.
EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
// contains filtered or unexported fields
}
Represents a uCAIP NasJob trial.
func (*NasTrial) Descriptor
Deprecated: Use NasTrial.ProtoReflect.Descriptor instead.
func (*NasTrial) GetEndTime
func (x *NasTrial) GetEndTime() *timestamppb.Timestamp
func (*NasTrial) GetFinalMeasurement
func (x *NasTrial) GetFinalMeasurement() *Measurement
func (*NasTrial) GetId
func (*NasTrial) GetStartTime
func (x *NasTrial) GetStartTime() *timestamppb.Timestamp
func (*NasTrial) GetState
func (x *NasTrial) GetState() NasTrial_State
func (*NasTrial) ProtoMessage
func (*NasTrial) ProtoMessage()
func (*NasTrial) ProtoReflect
func (x *NasTrial) ProtoReflect() protoreflect.Message
func (*NasTrial) Reset
func (x *NasTrial) Reset()
func (*NasTrial) String
NasTrialDetail
type NasTrialDetail struct {
// Output only. Resource name of the NasTrialDetail.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// The parameters for the NasJob NasTrial.
Parameters string `protobuf:"bytes,2,opt,name=parameters,proto3" json:"parameters,omitempty"`
// The requested search NasTrial.
SearchTrial *NasTrial `protobuf:"bytes,3,opt,name=search_trial,json=searchTrial,proto3" json:"search_trial,omitempty"`
// The train NasTrial corresponding to
// [search_trial][google.cloud.aiplatform.v1.NasTrialDetail.search_trial].
// Only populated if
// [search_trial][google.cloud.aiplatform.v1.NasTrialDetail.search_trial] is
// used for training.
TrainTrial *NasTrial `protobuf:"bytes,4,opt,name=train_trial,json=trainTrial,proto3" json:"train_trial,omitempty"`
// contains filtered or unexported fields
}
Represents a NasTrial details along with it's parameters. If there is a corresponding train NasTrial, the train NasTrial is also returned.
func (*NasTrialDetail) Descriptor
func (*NasTrialDetail) Descriptor() ([]byte, []int)
Deprecated: Use NasTrialDetail.ProtoReflect.Descriptor instead.
func (*NasTrialDetail) GetName
func (x *NasTrialDetail) GetName() string
func (*NasTrialDetail) GetParameters
func (x *NasTrialDetail) GetParameters() string
func (*NasTrialDetail) GetSearchTrial
func (x *NasTrialDetail) GetSearchTrial() *NasTrial
func (*NasTrialDetail) GetTrainTrial
func (x *NasTrialDetail) GetTrainTrial() *NasTrial
func (*NasTrialDetail) ProtoMessage
func (*NasTrialDetail) ProtoMessage()
func (*NasTrialDetail) ProtoReflect
func (x *NasTrialDetail) ProtoReflect() protoreflect.Message
func (*NasTrialDetail) Reset
func (x *NasTrialDetail) Reset()
func (*NasTrialDetail) String
func (x *NasTrialDetail) String() string
NasTrial_State
type NasTrial_State int32
Describes a NasTrial state.
NasTrial_STATE_UNSPECIFIED, NasTrial_REQUESTED, NasTrial_ACTIVE, NasTrial_STOPPING, NasTrial_SUCCEEDED, NasTrial_INFEASIBLE
const (
// The NasTrial state is unspecified.
NasTrial_STATE_UNSPECIFIED NasTrial_State = 0
// Indicates that a specific NasTrial has been requested, but it has not yet
// been suggested by the service.
NasTrial_REQUESTED NasTrial_State = 1
// Indicates that the NasTrial has been suggested.
NasTrial_ACTIVE NasTrial_State = 2
// Indicates that the NasTrial should stop according to the service.
NasTrial_STOPPING NasTrial_State = 3
// Indicates that the NasTrial is completed successfully.
NasTrial_SUCCEEDED NasTrial_State = 4
// Indicates that the NasTrial should not be attempted again.
// The service will set a NasTrial to INFEASIBLE when it's done but missing
// the final_measurement.
NasTrial_INFEASIBLE NasTrial_State = 5
)
func (NasTrial_State) Descriptor
func (NasTrial_State) Descriptor() protoreflect.EnumDescriptor
func (NasTrial_State) Enum
func (x NasTrial_State) Enum() *NasTrial_State
func (NasTrial_State) EnumDescriptor
func (NasTrial_State) EnumDescriptor() ([]byte, []int)
Deprecated: Use NasTrial_State.Descriptor instead.
func (NasTrial_State) Number
func (x NasTrial_State) Number() protoreflect.EnumNumber
func (NasTrial_State) String
func (x NasTrial_State) String() string
func (NasTrial_State) Type
func (NasTrial_State) Type() protoreflect.EnumType
NearestNeighborSearchOperationMetadata
type NearestNeighborSearchOperationMetadata struct {
ContentValidationStats []*NearestNeighborSearchOperationMetadata_ContentValidationStats "" /* 129 byte string literal not displayed */
DataBytesCount int64 `protobuf:"varint,2,opt,name=data_bytes_count,json=dataBytesCount,proto3" json:"data_bytes_count,omitempty"`
}
Runtime operation metadata with regard to Matching Engine Index.
func (*NearestNeighborSearchOperationMetadata) Descriptor
func (*NearestNeighborSearchOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use NearestNeighborSearchOperationMetadata.ProtoReflect.Descriptor instead.
func (*NearestNeighborSearchOperationMetadata) GetContentValidationStats
func (x *NearestNeighborSearchOperationMetadata) GetContentValidationStats() []*NearestNeighborSearchOperationMetadata_ContentValidationStats
func (*NearestNeighborSearchOperationMetadata) GetDataBytesCount
func (x *NearestNeighborSearchOperationMetadata) GetDataBytesCount() int64
func (*NearestNeighborSearchOperationMetadata) ProtoMessage
func (*NearestNeighborSearchOperationMetadata) ProtoMessage()
func (*NearestNeighborSearchOperationMetadata) ProtoReflect
func (x *NearestNeighborSearchOperationMetadata) ProtoReflect() protoreflect.Message
func (*NearestNeighborSearchOperationMetadata) Reset
func (x *NearestNeighborSearchOperationMetadata) Reset()
func (*NearestNeighborSearchOperationMetadata) String
func (x *NearestNeighborSearchOperationMetadata) String() string
NearestNeighborSearchOperationMetadata_ContentValidationStats
type NearestNeighborSearchOperationMetadata_ContentValidationStats struct {
// Cloud Storage URI pointing to the original file in user's bucket.
SourceGcsUri string `protobuf:"bytes,1,opt,name=source_gcs_uri,json=sourceGcsUri,proto3" json:"source_gcs_uri,omitempty"`
// Number of records in this file that were successfully processed.
ValidRecordCount int64 `protobuf:"varint,2,opt,name=valid_record_count,json=validRecordCount,proto3" json:"valid_record_count,omitempty"`
// Number of records in this file we skipped due to validate errors.
InvalidRecordCount int64 `protobuf:"varint,3,opt,name=invalid_record_count,json=invalidRecordCount,proto3" json:"invalid_record_count,omitempty"`
// The detail information of the partial failures encountered for those
// invalid records that couldn't be parsed.
// Up to 50 partial errors will be reported.
PartialErrors []*NearestNeighborSearchOperationMetadata_RecordError `protobuf:"bytes,4,rep,name=partial_errors,json=partialErrors,proto3" json:"partial_errors,omitempty"`
// contains filtered or unexported fields
}
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Descriptor
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Descriptor() ([]byte, []int)
Deprecated: Use NearestNeighborSearchOperationMetadata_ContentValidationStats.ProtoReflect.Descriptor instead.
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetInvalidRecordCount
func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetInvalidRecordCount() int64
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetPartialErrors
func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetPartialErrors() []*NearestNeighborSearchOperationMetadata_RecordError
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetSourceGcsUri
func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetSourceGcsUri() string
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetValidRecordCount
func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetValidRecordCount() int64
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoMessage
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoMessage()
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoReflect
func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoReflect() protoreflect.Message
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Reset
func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) Reset()
func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) String
func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) String() string
NearestNeighborSearchOperationMetadata_RecordError
type NearestNeighborSearchOperationMetadata_RecordError struct {
ErrorType NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType "" /* 188 byte string literal not displayed */
ErrorMessage string `protobuf:"bytes,2,opt,name=error_message,json=errorMessage,proto3" json:"error_message,omitempty"`
SourceGcsUri string `protobuf:"bytes,3,opt,name=source_gcs_uri,json=sourceGcsUri,proto3" json:"source_gcs_uri,omitempty"`
EmbeddingId string `protobuf:"bytes,4,opt,name=embedding_id,json=embeddingId,proto3" json:"embedding_id,omitempty"`
RawRecord string `protobuf:"bytes,5,opt,name=raw_record,json=rawRecord,proto3" json:"raw_record,omitempty"`
}
func (*NearestNeighborSearchOperationMetadata_RecordError) Descriptor
func (*NearestNeighborSearchOperationMetadata_RecordError) Descriptor() ([]byte, []int)
Deprecated: Use NearestNeighborSearchOperationMetadata_RecordError.ProtoReflect.Descriptor instead.
func (*NearestNeighborSearchOperationMetadata_RecordError) GetEmbeddingId
func (x *NearestNeighborSearchOperationMetadata_RecordError) GetEmbeddingId() string
func (*NearestNeighborSearchOperationMetadata_RecordError) GetErrorMessage
func (x *NearestNeighborSearchOperationMetadata_RecordError) GetErrorMessage() string
func (*NearestNeighborSearchOperationMetadata_RecordError) GetErrorType
func (x *NearestNeighborSearchOperationMetadata_RecordError) GetErrorType() NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType
func (*NearestNeighborSearchOperationMetadata_RecordError) GetRawRecord
func (x *NearestNeighborSearchOperationMetadata_RecordError) GetRawRecord() string
func (*NearestNeighborSearchOperationMetadata_RecordError) GetSourceGcsUri
func (x *NearestNeighborSearchOperationMetadata_RecordError) GetSourceGcsUri() string
func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoMessage
func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoMessage()
func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoReflect
func (x *NearestNeighborSearchOperationMetadata_RecordError) ProtoReflect() protoreflect.Message
func (*NearestNeighborSearchOperationMetadata_RecordError) Reset
func (x *NearestNeighborSearchOperationMetadata_RecordError) Reset()
func (*NearestNeighborSearchOperationMetadata_RecordError) String
func (x *NearestNeighborSearchOperationMetadata_RecordError) String() string
NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType
type NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType int32
NearestNeighborSearchOperationMetadata_RecordError_ERROR_TYPE_UNSPECIFIED, NearestNeighborSearchOperationMetadata_RecordError_EMPTY_LINE, NearestNeighborSearchOperationMetadata_RecordError_INVALID_JSON_SYNTAX, NearestNeighborSearchOperationMetadata_RecordError_INVALID_CSV_SYNTAX, NearestNeighborSearchOperationMetadata_RecordError_INVALID_AVRO_SYNTAX, NearestNeighborSearchOperationMetadata_RecordError_INVALID_EMBEDDING_ID, NearestNeighborSearchOperationMetadata_RecordError_EMBEDDING_SIZE_MISMATCH, NearestNeighborSearchOperationMetadata_RecordError_NAMESPACE_MISSING
const (
// Default, shall not be used.
NearestNeighborSearchOperationMetadata_RecordError_ERROR_TYPE_UNSPECIFIED NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 0
// The record is empty.
NearestNeighborSearchOperationMetadata_RecordError_EMPTY_LINE NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 1
// Invalid json format.
NearestNeighborSearchOperationMetadata_RecordError_INVALID_JSON_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 2
// Invalid csv format.
NearestNeighborSearchOperationMetadata_RecordError_INVALID_CSV_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 3
// Invalid avro format.
NearestNeighborSearchOperationMetadata_RecordError_INVALID_AVRO_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 4
// The embedding id is not valid.
NearestNeighborSearchOperationMetadata_RecordError_INVALID_EMBEDDING_ID NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 5
// The size of the embedding vectors does not match with the specified
// dimension.
NearestNeighborSearchOperationMetadata_RecordError_EMBEDDING_SIZE_MISMATCH NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 6
// The `namespace` field is missing.
NearestNeighborSearchOperationMetadata_RecordError_NAMESPACE_MISSING NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 7
)
func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Descriptor
func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Descriptor() protoreflect.EnumDescriptor
func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Enum
func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Enum() *NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType
func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) EnumDescriptor
func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) EnumDescriptor() ([]byte, []int)
Deprecated: Use NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType.Descriptor instead.
func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Number
func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Number() protoreflect.EnumNumber
func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) String
func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) String() string
func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Type
func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Type() protoreflect.EnumType
Neighbor
type Neighbor struct {
// Output only. The neighbor id.
NeighborId string `protobuf:"bytes,1,opt,name=neighbor_id,json=neighborId,proto3" json:"neighbor_id,omitempty"`
// Output only. The neighbor distance.
NeighborDistance float64 `protobuf:"fixed64,2,opt,name=neighbor_distance,json=neighborDistance,proto3" json:"neighbor_distance,omitempty"`
// contains filtered or unexported fields
}
Neighbors for example-based explanations.
func (*Neighbor) Descriptor
Deprecated: Use Neighbor.ProtoReflect.Descriptor instead.
func (*Neighbor) GetNeighborDistance
func (*Neighbor) GetNeighborId
func (*Neighbor) ProtoMessage
func (*Neighbor) ProtoMessage()
func (*Neighbor) ProtoReflect
func (x *Neighbor) ProtoReflect() protoreflect.Message
func (*Neighbor) Reset
func (x *Neighbor) Reset()
func (*Neighbor) String
NfsMount
type NfsMount struct {
// Required. IP address of the NFS server.
Server string `protobuf:"bytes,1,opt,name=server,proto3" json:"server,omitempty"`
// Required. Source path exported from NFS server.
// Has to start with '/', and combined with the ip address, it indicates
// the source mount path in the form of `server:path`
Path string `protobuf:"bytes,2,opt,name=path,proto3" json:"path,omitempty"`
// Required. Destination mount path. The NFS will be mounted for the user
// under /mnt/nfs/
Represents a mount configuration for Network File System (NFS) to mount.
func (*NfsMount) Descriptor
Deprecated: Use NfsMount.ProtoReflect.Descriptor instead.
func (*NfsMount) GetMountPoint
func (*NfsMount) GetPath
func (*NfsMount) GetServer
func (*NfsMount) ProtoMessage
func (*NfsMount) ProtoMessage()
func (*NfsMount) ProtoReflect
func (x *NfsMount) ProtoReflect() protoreflect.Message
func (*NfsMount) Reset
func (x *NfsMount) Reset()
func (*NfsMount) String
PauseModelDeploymentMonitoringJobRequest
type PauseModelDeploymentMonitoringJobRequest struct {
// Required. The resource name of the ModelDeploymentMonitoringJob to pause.
// Format:
// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob].
func (*PauseModelDeploymentMonitoringJobRequest) Descriptor
func (*PauseModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use PauseModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*PauseModelDeploymentMonitoringJobRequest) GetName
func (x *PauseModelDeploymentMonitoringJobRequest) GetName() string
func (*PauseModelDeploymentMonitoringJobRequest) ProtoMessage
func (*PauseModelDeploymentMonitoringJobRequest) ProtoMessage()
func (*PauseModelDeploymentMonitoringJobRequest) ProtoReflect
func (x *PauseModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message
func (*PauseModelDeploymentMonitoringJobRequest) Reset
func (x *PauseModelDeploymentMonitoringJobRequest) Reset()
func (*PauseModelDeploymentMonitoringJobRequest) String
func (x *PauseModelDeploymentMonitoringJobRequest) String() string
PipelineFailurePolicy
type PipelineFailurePolicy int32
Represents the failure policy of a pipeline. Currently, the default of a pipeline is that the pipeline will continue to run until no more tasks can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it will stop scheduling any new tasks when a task has failed. Any scheduled tasks will continue to completion.
PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_UNSPECIFIED, PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_FAIL_SLOW, PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_FAIL_FAST
const (
// Default value, and follows fail slow behavior.
PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_UNSPECIFIED PipelineFailurePolicy = 0
// Indicates that the pipeline should continue to run until all possible
// tasks have been scheduled and completed.
PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_FAIL_SLOW PipelineFailurePolicy = 1
// Indicates that the pipeline should stop scheduling new tasks after a task
// has failed.
PipelineFailurePolicy_PIPELINE_FAILURE_POLICY_FAIL_FAST PipelineFailurePolicy = 2
)
func (PipelineFailurePolicy) Descriptor
func (PipelineFailurePolicy) Descriptor() protoreflect.EnumDescriptor
func (PipelineFailurePolicy) Enum
func (x PipelineFailurePolicy) Enum() *PipelineFailurePolicy
func (PipelineFailurePolicy) EnumDescriptor
func (PipelineFailurePolicy) EnumDescriptor() ([]byte, []int)
Deprecated: Use PipelineFailurePolicy.Descriptor instead.
func (PipelineFailurePolicy) Number
func (x PipelineFailurePolicy) Number() protoreflect.EnumNumber
func (PipelineFailurePolicy) String
func (x PipelineFailurePolicy) String() string
func (PipelineFailurePolicy) Type
func (PipelineFailurePolicy) Type() protoreflect.EnumType
PipelineJob
type PipelineJob struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
PipelineSpec *structpb.Struct `protobuf:"bytes,7,opt,name=pipeline_spec,json=pipelineSpec,proto3" json:"pipeline_spec,omitempty"`
State PipelineState `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineState" json:"state,omitempty"`
JobDetail *PipelineJobDetail `protobuf:"bytes,9,opt,name=job_detail,json=jobDetail,proto3" json:"job_detail,omitempty"`
Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
RuntimeConfig *PipelineJob_RuntimeConfig `protobuf:"bytes,12,opt,name=runtime_config,json=runtimeConfig,proto3" json:"runtime_config,omitempty"`
EncryptionSpec *EncryptionSpec `protobuf:"bytes,16,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
ServiceAccount string `protobuf:"bytes,17,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
Network string `protobuf:"bytes,18,opt,name=network,proto3" json:"network,omitempty"`
TemplateUri string `protobuf:"bytes,19,opt,name=template_uri,json=templateUri,proto3" json:"template_uri,omitempty"`
TemplateMetadata *PipelineTemplateMetadata `protobuf:"bytes,20,opt,name=template_metadata,json=templateMetadata,proto3" json:"template_metadata,omitempty"`
}
An instance of a machine learning PipelineJob.
func (*PipelineJob) Descriptor
func (*PipelineJob) Descriptor() ([]byte, []int)
Deprecated: Use PipelineJob.ProtoReflect.Descriptor instead.
func (*PipelineJob) GetCreateTime
func (x *PipelineJob) GetCreateTime() *timestamppb.Timestamp
func (*PipelineJob) GetDisplayName
func (x *PipelineJob) GetDisplayName() string
func (*PipelineJob) GetEncryptionSpec
func (x *PipelineJob) GetEncryptionSpec() *EncryptionSpec
func (*PipelineJob) GetEndTime
func (x *PipelineJob) GetEndTime() *timestamppb.Timestamp
func (*PipelineJob) GetError
func (x *PipelineJob) GetError() *status.Status
func (*PipelineJob) GetJobDetail
func (x *PipelineJob) GetJobDetail() *PipelineJobDetail
func (*PipelineJob) GetLabels
func (x *PipelineJob) GetLabels() map[string]string
func (*PipelineJob) GetName
func (x *PipelineJob) GetName() string
func (*PipelineJob) GetNetwork
func (x *PipelineJob) GetNetwork() string
func (*PipelineJob) GetPipelineSpec
func (x *PipelineJob) GetPipelineSpec() *structpb.Struct
func (*PipelineJob) GetRuntimeConfig
func (x *PipelineJob) GetRuntimeConfig() *PipelineJob_RuntimeConfig
func (*PipelineJob) GetServiceAccount
func (x *PipelineJob) GetServiceAccount() string
func (*PipelineJob) GetStartTime
func (x *PipelineJob) GetStartTime() *timestamppb.Timestamp
func (*PipelineJob) GetState
func (x *PipelineJob) GetState() PipelineState
func (*PipelineJob) GetTemplateMetadata
func (x *PipelineJob) GetTemplateMetadata() *PipelineTemplateMetadata
func (*PipelineJob) GetTemplateUri
func (x *PipelineJob) GetTemplateUri() string
func (*PipelineJob) GetUpdateTime
func (x *PipelineJob) GetUpdateTime() *timestamppb.Timestamp
func (*PipelineJob) ProtoMessage
func (*PipelineJob) ProtoMessage()
func (*PipelineJob) ProtoReflect
func (x *PipelineJob) ProtoReflect() protoreflect.Message
func (*PipelineJob) Reset
func (x *PipelineJob) Reset()
func (*PipelineJob) String
func (x *PipelineJob) String() string
PipelineJobDetail
type PipelineJobDetail struct {
// Output only. The context of the pipeline.
PipelineContext *Context `protobuf:"bytes,1,opt,name=pipeline_context,json=pipelineContext,proto3" json:"pipeline_context,omitempty"`
// Output only. The context of the current pipeline run.
PipelineRunContext *Context `protobuf:"bytes,2,opt,name=pipeline_run_context,json=pipelineRunContext,proto3" json:"pipeline_run_context,omitempty"`
// Output only. The runtime details of the tasks under the pipeline.
TaskDetails []*PipelineTaskDetail `protobuf:"bytes,3,rep,name=task_details,json=taskDetails,proto3" json:"task_details,omitempty"`
// contains filtered or unexported fields
}
The runtime detail of PipelineJob.
func (*PipelineJobDetail) Descriptor
func (*PipelineJobDetail) Descriptor() ([]byte, []int)
Deprecated: Use PipelineJobDetail.ProtoReflect.Descriptor instead.
func (*PipelineJobDetail) GetPipelineContext
func (x *PipelineJobDetail) GetPipelineContext() *Context
func (*PipelineJobDetail) GetPipelineRunContext
func (x *PipelineJobDetail) GetPipelineRunContext() *Context
func (*PipelineJobDetail) GetTaskDetails
func (x *PipelineJobDetail) GetTaskDetails() []*PipelineTaskDetail
func (*PipelineJobDetail) ProtoMessage
func (*PipelineJobDetail) ProtoMessage()
func (*PipelineJobDetail) ProtoReflect
func (x *PipelineJobDetail) ProtoReflect() protoreflect.Message
func (*PipelineJobDetail) Reset
func (x *PipelineJobDetail) Reset()
func (*PipelineJobDetail) String
func (x *PipelineJobDetail) String() string
PipelineJob_RuntimeConfig
type PipelineJob_RuntimeConfig struct {
Parameters map[string]*Value "" /* 161 byte string literal not displayed */
GcsOutputDirectory string `protobuf:"bytes,2,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3" json:"gcs_output_directory,omitempty"`
ParameterValues map[string]*structpb.Value "" /* 194 byte string literal not displayed */
FailurePolicy PipelineFailurePolicy "" /* 155 byte string literal not displayed */
InputArtifacts map[string]*PipelineJob_RuntimeConfig_InputArtifact "" /* 191 byte string literal not displayed */
}
The runtime config of a PipelineJob.
func (*PipelineJob_RuntimeConfig) Descriptor
func (*PipelineJob_RuntimeConfig) Descriptor() ([]byte, []int)
Deprecated: Use PipelineJob_RuntimeConfig.ProtoReflect.Descriptor instead.
func (*PipelineJob_RuntimeConfig) GetFailurePolicy
func (x *PipelineJob_RuntimeConfig) GetFailurePolicy() PipelineFailurePolicy
func (*PipelineJob_RuntimeConfig) GetGcsOutputDirectory
func (x *PipelineJob_RuntimeConfig) GetGcsOutputDirectory() string
func (*PipelineJob_RuntimeConfig) GetInputArtifacts
func (x *PipelineJob_RuntimeConfig) GetInputArtifacts() map[string]*PipelineJob_RuntimeConfig_InputArtifact
func (*PipelineJob_RuntimeConfig) GetParameterValues
func (x *PipelineJob_RuntimeConfig) GetParameterValues() map[string]*structpb.Value
func (*PipelineJob_RuntimeConfig) GetParameters
func (x *PipelineJob_RuntimeConfig) GetParameters() map[string]*Value
Deprecated: Do not use.
func (*PipelineJob_RuntimeConfig) ProtoMessage
func (*PipelineJob_RuntimeConfig) ProtoMessage()
func (*PipelineJob_RuntimeConfig) ProtoReflect
func (x *PipelineJob_RuntimeConfig) ProtoReflect() protoreflect.Message
func (*PipelineJob_RuntimeConfig) Reset
func (x *PipelineJob_RuntimeConfig) Reset()
func (*PipelineJob_RuntimeConfig) String
func (x *PipelineJob_RuntimeConfig) String() string
PipelineJob_RuntimeConfig_InputArtifact
type PipelineJob_RuntimeConfig_InputArtifact struct {
// Types that are assignable to Kind:
// *PipelineJob_RuntimeConfig_InputArtifact_ArtifactId
Kind isPipelineJob_RuntimeConfig_InputArtifact_Kind `protobuf_oneof:"kind"`
// contains filtered or unexported fields
}
The type of an input artifact.
func (*PipelineJob_RuntimeConfig_InputArtifact) Descriptor
func (*PipelineJob_RuntimeConfig_InputArtifact) Descriptor() ([]byte, []int)
Deprecated: Use PipelineJob_RuntimeConfig_InputArtifact.ProtoReflect.Descriptor instead.
func (*PipelineJob_RuntimeConfig_InputArtifact) GetArtifactId
func (x *PipelineJob_RuntimeConfig_InputArtifact) GetArtifactId() string
func (*PipelineJob_RuntimeConfig_InputArtifact) GetKind
func (m *PipelineJob_RuntimeConfig_InputArtifact) GetKind() isPipelineJob_RuntimeConfig_InputArtifact_Kind
func (*PipelineJob_RuntimeConfig_InputArtifact) ProtoMessage
func (*PipelineJob_RuntimeConfig_InputArtifact) ProtoMessage()
func (*PipelineJob_RuntimeConfig_InputArtifact) ProtoReflect
func (x *PipelineJob_RuntimeConfig_InputArtifact) ProtoReflect() protoreflect.Message
func (*PipelineJob_RuntimeConfig_InputArtifact) Reset
func (x *PipelineJob_RuntimeConfig_InputArtifact) Reset()
func (*PipelineJob_RuntimeConfig_InputArtifact) String
func (x *PipelineJob_RuntimeConfig_InputArtifact) String() string
PipelineJob_RuntimeConfig_InputArtifact_ArtifactId
type PipelineJob_RuntimeConfig_InputArtifact_ArtifactId struct {
// Artifact resource id from MLMD. Which is the last portion of an
// artifact resource name:
// `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`.
// The artifact must stay within the same project, location and default
// metadatastore as the pipeline.
ArtifactId string `protobuf:"bytes,1,opt,name=artifact_id,json=artifactId,proto3,oneof"`
}
PipelineServiceClient
type PipelineServiceClient interface {
// Creates a TrainingPipeline. A created TrainingPipeline right away will be
// attempted to be run.
CreateTrainingPipeline(ctx context.Context, in *CreateTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error)
// Gets a TrainingPipeline.
GetTrainingPipeline(ctx context.Context, in *GetTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error)
// Lists TrainingPipelines in a Location.
ListTrainingPipelines(ctx context.Context, in *ListTrainingPipelinesRequest, opts ...grpc.CallOption) (*ListTrainingPipelinesResponse, error)
// Deletes a TrainingPipeline.
DeleteTrainingPipeline(ctx context.Context, in *DeleteTrainingPipelineRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Cancels a TrainingPipeline.
// Starts asynchronous cancellation on the TrainingPipeline. The server
// makes a best effort to cancel the pipeline, but success is not
// guaranteed. Clients can use
// [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
// or other methods to check whether the cancellation succeeded or whether the
// pipeline completed despite cancellation. On successful cancellation,
// the TrainingPipeline is not deleted; instead it becomes a pipeline with
// a
// [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error]
// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
// corresponding to `Code.CANCELLED`, and
// [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state]
// is set to `CANCELLED`.
CancelTrainingPipeline(ctx context.Context, in *CancelTrainingPipelineRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
// Creates a PipelineJob. A PipelineJob will run immediately when created.
CreatePipelineJob(ctx context.Context, in *CreatePipelineJobRequest, opts ...grpc.CallOption) (*PipelineJob, error)
// Gets a PipelineJob.
GetPipelineJob(ctx context.Context, in *GetPipelineJobRequest, opts ...grpc.CallOption) (*PipelineJob, error)
// Lists PipelineJobs in a Location.
ListPipelineJobs(ctx context.Context, in *ListPipelineJobsRequest, opts ...grpc.CallOption) (*ListPipelineJobsResponse, error)
// Deletes a PipelineJob.
DeletePipelineJob(ctx context.Context, in *DeletePipelineJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Cancels a PipelineJob.
// Starts asynchronous cancellation on the PipelineJob. The server
// makes a best effort to cancel the pipeline, but success is not
// guaranteed. Clients can use
// [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]
// or other methods to check whether the cancellation succeeded or whether the
// pipeline completed despite cancellation. On successful cancellation,
// the PipelineJob is not deleted; instead it becomes a pipeline with
// a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value
// with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding
// to `Code.CANCELLED`, and
// [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
// `CANCELLED`.
CancelPipelineJob(ctx context.Context, in *CancelPipelineJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
}
PipelineServiceClient is the client API for PipelineService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewPipelineServiceClient
func NewPipelineServiceClient(cc grpc.ClientConnInterface) PipelineServiceClient
PipelineServiceServer
type PipelineServiceServer interface {
// Creates a TrainingPipeline. A created TrainingPipeline right away will be
// attempted to be run.
CreateTrainingPipeline(context.Context, *CreateTrainingPipelineRequest) (*TrainingPipeline, error)
// Gets a TrainingPipeline.
GetTrainingPipeline(context.Context, *GetTrainingPipelineRequest) (*TrainingPipeline, error)
// Lists TrainingPipelines in a Location.
ListTrainingPipelines(context.Context, *ListTrainingPipelinesRequest) (*ListTrainingPipelinesResponse, error)
// Deletes a TrainingPipeline.
DeleteTrainingPipeline(context.Context, *DeleteTrainingPipelineRequest) (*longrunning.Operation, error)
// Cancels a TrainingPipeline.
// Starts asynchronous cancellation on the TrainingPipeline. The server
// makes a best effort to cancel the pipeline, but success is not
// guaranteed. Clients can use
// [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
// or other methods to check whether the cancellation succeeded or whether the
// pipeline completed despite cancellation. On successful cancellation,
// the TrainingPipeline is not deleted; instead it becomes a pipeline with
// a
// [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error]
// value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
// corresponding to `Code.CANCELLED`, and
// [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state]
// is set to `CANCELLED`.
CancelTrainingPipeline(context.Context, *CancelTrainingPipelineRequest) (*emptypb.Empty, error)
// Creates a PipelineJob. A PipelineJob will run immediately when created.
CreatePipelineJob(context.Context, *CreatePipelineJobRequest) (*PipelineJob, error)
// Gets a PipelineJob.
GetPipelineJob(context.Context, *GetPipelineJobRequest) (*PipelineJob, error)
// Lists PipelineJobs in a Location.
ListPipelineJobs(context.Context, *ListPipelineJobsRequest) (*ListPipelineJobsResponse, error)
// Deletes a PipelineJob.
DeletePipelineJob(context.Context, *DeletePipelineJobRequest) (*longrunning.Operation, error)
// Cancels a PipelineJob.
// Starts asynchronous cancellation on the PipelineJob. The server
// makes a best effort to cancel the pipeline, but success is not
// guaranteed. Clients can use
// [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]
// or other methods to check whether the cancellation succeeded or whether the
// pipeline completed despite cancellation. On successful cancellation,
// the PipelineJob is not deleted; instead it becomes a pipeline with
// a [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] value
// with a [google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding
// to `Code.CANCELLED`, and
// [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] is set to
// `CANCELLED`.
CancelPipelineJob(context.Context, *CancelPipelineJobRequest) (*emptypb.Empty, error)
}
PipelineServiceServer is the server API for PipelineService service.
PipelineState
type PipelineState int32
Describes the state of a pipeline.
PipelineState_PIPELINE_STATE_UNSPECIFIED, PipelineState_PIPELINE_STATE_QUEUED, PipelineState_PIPELINE_STATE_PENDING, PipelineState_PIPELINE_STATE_RUNNING, PipelineState_PIPELINE_STATE_SUCCEEDED, PipelineState_PIPELINE_STATE_FAILED, PipelineState_PIPELINE_STATE_CANCELLING, PipelineState_PIPELINE_STATE_CANCELLED, PipelineState_PIPELINE_STATE_PAUSED
const (
// The pipeline state is unspecified.
PipelineState_PIPELINE_STATE_UNSPECIFIED PipelineState = 0
// The pipeline has been created or resumed, and processing has not yet
// begun.
PipelineState_PIPELINE_STATE_QUEUED PipelineState = 1
// The service is preparing to run the pipeline.
PipelineState_PIPELINE_STATE_PENDING PipelineState = 2
// The pipeline is in progress.
PipelineState_PIPELINE_STATE_RUNNING PipelineState = 3
// The pipeline completed successfully.
PipelineState_PIPELINE_STATE_SUCCEEDED PipelineState = 4
// The pipeline failed.
PipelineState_PIPELINE_STATE_FAILED PipelineState = 5
// The pipeline is being cancelled. From this state, the pipeline may only go
// to either PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED or
// PIPELINE_STATE_CANCELLED.
PipelineState_PIPELINE_STATE_CANCELLING PipelineState = 6
// The pipeline has been cancelled.
PipelineState_PIPELINE_STATE_CANCELLED PipelineState = 7
// The pipeline has been stopped, and can be resumed.
PipelineState_PIPELINE_STATE_PAUSED PipelineState = 8
)
func (PipelineState) Descriptor
func (PipelineState) Descriptor() protoreflect.EnumDescriptor
func (PipelineState) Enum
func (x PipelineState) Enum() *PipelineState
func (PipelineState) EnumDescriptor
func (PipelineState) EnumDescriptor() ([]byte, []int)
Deprecated: Use PipelineState.Descriptor instead.
func (PipelineState) Number
func (x PipelineState) Number() protoreflect.EnumNumber
func (PipelineState) String
func (x PipelineState) String() string
func (PipelineState) Type
func (PipelineState) Type() protoreflect.EnumType
PipelineTaskDetail
type PipelineTaskDetail struct {
TaskId int64 `protobuf:"varint,1,opt,name=task_id,json=taskId,proto3" json:"task_id,omitempty"`
ParentTaskId int64 `protobuf:"varint,12,opt,name=parent_task_id,json=parentTaskId,proto3" json:"parent_task_id,omitempty"`
TaskName string `protobuf:"bytes,2,opt,name=task_name,json=taskName,proto3" json:"task_name,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
ExecutorDetail *PipelineTaskExecutorDetail `protobuf:"bytes,6,opt,name=executor_detail,json=executorDetail,proto3" json:"executor_detail,omitempty"`
State PipelineTaskDetail_State `protobuf:"varint,7,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineTaskDetail_State" json:"state,omitempty"`
Execution *Execution `protobuf:"bytes,8,opt,name=execution,proto3" json:"execution,omitempty"`
Error *status.Status `protobuf:"bytes,9,opt,name=error,proto3" json:"error,omitempty"`
PipelineTaskStatus []*PipelineTaskDetail_PipelineTaskStatus `protobuf:"bytes,13,rep,name=pipeline_task_status,json=pipelineTaskStatus,proto3" json:"pipeline_task_status,omitempty"`
Inputs map[string]*PipelineTaskDetail_ArtifactList "" /* 154 byte string literal not displayed */
Outputs map[string]*PipelineTaskDetail_ArtifactList "" /* 156 byte string literal not displayed */
}
The runtime detail of a task execution.
func (*PipelineTaskDetail) Descriptor
func (*PipelineTaskDetail) Descriptor() ([]byte, []int)
Deprecated: Use PipelineTaskDetail.ProtoReflect.Descriptor instead.
func (*PipelineTaskDetail) GetCreateTime
func (x *PipelineTaskDetail) GetCreateTime() *timestamppb.Timestamp
func (*PipelineTaskDetail) GetEndTime
func (x *PipelineTaskDetail) GetEndTime() *timestamppb.Timestamp
func (*PipelineTaskDetail) GetError
func (x *PipelineTaskDetail) GetError() *status.Status
func (*PipelineTaskDetail) GetExecution
func (x *PipelineTaskDetail) GetExecution() *Execution
func (*PipelineTaskDetail) GetExecutorDetail
func (x *PipelineTaskDetail) GetExecutorDetail() *PipelineTaskExecutorDetail
func (*PipelineTaskDetail) GetInputs
func (x *PipelineTaskDetail) GetInputs() map[string]*PipelineTaskDetail_ArtifactList
func (*PipelineTaskDetail) GetOutputs
func (x *PipelineTaskDetail) GetOutputs() map[string]*PipelineTaskDetail_ArtifactList
func (*PipelineTaskDetail) GetParentTaskId
func (x *PipelineTaskDetail) GetParentTaskId() int64
func (*PipelineTaskDetail) GetPipelineTaskStatus
func (x *PipelineTaskDetail) GetPipelineTaskStatus() []*PipelineTaskDetail_PipelineTaskStatus
func (*PipelineTaskDetail) GetStartTime
func (x *PipelineTaskDetail) GetStartTime() *timestamppb.Timestamp
func (*PipelineTaskDetail) GetState
func (x *PipelineTaskDetail) GetState() PipelineTaskDetail_State
func (*PipelineTaskDetail) GetTaskId
func (x *PipelineTaskDetail) GetTaskId() int64
func (*PipelineTaskDetail) GetTaskName
func (x *PipelineTaskDetail) GetTaskName() string
func (*PipelineTaskDetail) ProtoMessage
func (*PipelineTaskDetail) ProtoMessage()
func (*PipelineTaskDetail) ProtoReflect
func (x *PipelineTaskDetail) ProtoReflect() protoreflect.Message
func (*PipelineTaskDetail) Reset
func (x *PipelineTaskDetail) Reset()
func (*PipelineTaskDetail) String
func (x *PipelineTaskDetail) String() string
PipelineTaskDetail_ArtifactList
type PipelineTaskDetail_ArtifactList struct {
// Output only. A list of artifact metadata.
Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
// contains filtered or unexported fields
}
A list of artifact metadata.
func (*PipelineTaskDetail_ArtifactList) Descriptor
func (*PipelineTaskDetail_ArtifactList) Descriptor() ([]byte, []int)
Deprecated: Use PipelineTaskDetail_ArtifactList.ProtoReflect.Descriptor instead.
func (*PipelineTaskDetail_ArtifactList) GetArtifacts
func (x *PipelineTaskDetail_ArtifactList) GetArtifacts() []*Artifact
func (*PipelineTaskDetail_ArtifactList) ProtoMessage
func (*PipelineTaskDetail_ArtifactList) ProtoMessage()
func (*PipelineTaskDetail_ArtifactList) ProtoReflect
func (x *PipelineTaskDetail_ArtifactList) ProtoReflect() protoreflect.Message
func (*PipelineTaskDetail_ArtifactList) Reset
func (x *PipelineTaskDetail_ArtifactList) Reset()
func (*PipelineTaskDetail_ArtifactList) String
func (x *PipelineTaskDetail_ArtifactList) String() string
PipelineTaskDetail_PipelineTaskStatus
type PipelineTaskDetail_PipelineTaskStatus struct {
// Output only. Update time of this status.
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
// Output only. The state of the task.
State PipelineTaskDetail_State `protobuf:"varint,2,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineTaskDetail_State" json:"state,omitempty"`
// Output only. The error that occurred during the state. May be set when
// the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or
// FAILED state. If the state is FAILED, the error here is final and not
// going to be retried. If the state is a non-final state, the error
// indicates a system-error being retried.
Error *status.Status `protobuf:"bytes,3,opt,name=error,proto3" json:"error,omitempty"`
// contains filtered or unexported fields
}
A single record of the task status.
func (*PipelineTaskDetail_PipelineTaskStatus) Descriptor
func (*PipelineTaskDetail_PipelineTaskStatus) Descriptor() ([]byte, []int)
Deprecated: Use PipelineTaskDetail_PipelineTaskStatus.ProtoReflect.Descriptor instead.
func (*PipelineTaskDetail_PipelineTaskStatus) GetError
func (x *PipelineTaskDetail_PipelineTaskStatus) GetError() *status.Status
func (*PipelineTaskDetail_PipelineTaskStatus) GetState
func (x *PipelineTaskDetail_PipelineTaskStatus) GetState() PipelineTaskDetail_State
func (*PipelineTaskDetail_PipelineTaskStatus) GetUpdateTime
func (x *PipelineTaskDetail_PipelineTaskStatus) GetUpdateTime() *timestamppb.Timestamp
func (*PipelineTaskDetail_PipelineTaskStatus) ProtoMessage
func (*PipelineTaskDetail_PipelineTaskStatus) ProtoMessage()
func (*PipelineTaskDetail_PipelineTaskStatus) ProtoReflect
func (x *PipelineTaskDetail_PipelineTaskStatus) ProtoReflect() protoreflect.Message
func (*PipelineTaskDetail_PipelineTaskStatus) Reset
func (x *PipelineTaskDetail_PipelineTaskStatus) Reset()
func (*PipelineTaskDetail_PipelineTaskStatus) String
func (x *PipelineTaskDetail_PipelineTaskStatus) String() string
PipelineTaskDetail_State
type PipelineTaskDetail_State int32
Specifies state of TaskExecution
PipelineTaskDetail_STATE_UNSPECIFIED, PipelineTaskDetail_PENDING, PipelineTaskDetail_RUNNING, PipelineTaskDetail_SUCCEEDED, PipelineTaskDetail_CANCEL_PENDING, PipelineTaskDetail_CANCELLING, PipelineTaskDetail_CANCELLED, PipelineTaskDetail_FAILED, PipelineTaskDetail_SKIPPED, PipelineTaskDetail_NOT_TRIGGERED
const (
// Unspecified.
PipelineTaskDetail_STATE_UNSPECIFIED PipelineTaskDetail_State = 0
// Specifies pending state for the task.
PipelineTaskDetail_PENDING PipelineTaskDetail_State = 1
// Specifies task is being executed.
PipelineTaskDetail_RUNNING PipelineTaskDetail_State = 2
// Specifies task completed successfully.
PipelineTaskDetail_SUCCEEDED PipelineTaskDetail_State = 3
// Specifies Task cancel is in pending state.
PipelineTaskDetail_CANCEL_PENDING PipelineTaskDetail_State = 4
// Specifies task is being cancelled.
PipelineTaskDetail_CANCELLING PipelineTaskDetail_State = 5
// Specifies task was cancelled.
PipelineTaskDetail_CANCELLED PipelineTaskDetail_State = 6
// Specifies task failed.
PipelineTaskDetail_FAILED PipelineTaskDetail_State = 7
// Specifies task was skipped due to cache hit.
PipelineTaskDetail_SKIPPED PipelineTaskDetail_State = 8
// Specifies that the task was not triggered because the task's trigger
// policy is not satisfied. The trigger policy is specified in the
// `condition` field of
// [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec].
PipelineTaskDetail_NOT_TRIGGERED PipelineTaskDetail_State = 9
)
func (PipelineTaskDetail_State) Descriptor
func (PipelineTaskDetail_State) Descriptor() protoreflect.EnumDescriptor
func (PipelineTaskDetail_State) Enum
func (x PipelineTaskDetail_State) Enum() *PipelineTaskDetail_State
func (PipelineTaskDetail_State) EnumDescriptor
func (PipelineTaskDetail_State) EnumDescriptor() ([]byte, []int)
Deprecated: Use PipelineTaskDetail_State.Descriptor instead.
func (PipelineTaskDetail_State) Number
func (x PipelineTaskDetail_State) Number() protoreflect.EnumNumber
func (PipelineTaskDetail_State) String
func (x PipelineTaskDetail_State) String() string
func (PipelineTaskDetail_State) Type
func (PipelineTaskDetail_State) Type() protoreflect.EnumType
PipelineTaskExecutorDetail
type PipelineTaskExecutorDetail struct {
// Types that are assignable to Details:
// *PipelineTaskExecutorDetail_ContainerDetail_
// *PipelineTaskExecutorDetail_CustomJobDetail_
Details isPipelineTaskExecutorDetail_Details `protobuf_oneof:"details"`
// contains filtered or unexported fields
}
The runtime detail of a pipeline executor.
func (*PipelineTaskExecutorDetail) Descriptor
func (*PipelineTaskExecutorDetail) Descriptor() ([]byte, []int)
Deprecated: Use PipelineTaskExecutorDetail.ProtoReflect.Descriptor instead.
func (*PipelineTaskExecutorDetail) GetContainerDetail
func (x *PipelineTaskExecutorDetail) GetContainerDetail() *PipelineTaskExecutorDetail_ContainerDetail
func (*PipelineTaskExecutorDetail) GetCustomJobDetail
func (x *PipelineTaskExecutorDetail) GetCustomJobDetail() *PipelineTaskExecutorDetail_CustomJobDetail
func (*PipelineTaskExecutorDetail) GetDetails
func (m *PipelineTaskExecutorDetail) GetDetails() isPipelineTaskExecutorDetail_Details
func (*PipelineTaskExecutorDetail) ProtoMessage
func (*PipelineTaskExecutorDetail) ProtoMessage()
func (*PipelineTaskExecutorDetail) ProtoReflect
func (x *PipelineTaskExecutorDetail) ProtoReflect() protoreflect.Message
func (*PipelineTaskExecutorDetail) Reset
func (x *PipelineTaskExecutorDetail) Reset()
func (*PipelineTaskExecutorDetail) String
func (x *PipelineTaskExecutorDetail) String() string
PipelineTaskExecutorDetail_ContainerDetail
type PipelineTaskExecutorDetail_ContainerDetail struct {
MainJob string `protobuf:"bytes,1,opt,name=main_job,json=mainJob,proto3" json:"main_job,omitempty"`
PreCachingCheckJob string `protobuf:"bytes,2,opt,name=pre_caching_check_job,json=preCachingCheckJob,proto3" json:"pre_caching_check_job,omitempty"`
FailedMainJobs []string `protobuf:"bytes,3,rep,name=failed_main_jobs,json=failedMainJobs,proto3" json:"failed_main_jobs,omitempty"`
FailedPreCachingCheckJobs []string "" /* 142 byte string literal not displayed */
}
The detail of a container execution. It contains the job names of the lifecycle of a container execution.
func (*PipelineTaskExecutorDetail_ContainerDetail) Descriptor
func (*PipelineTaskExecutorDetail_ContainerDetail) Descriptor() ([]byte, []int)
Deprecated: Use PipelineTaskExecutorDetail_ContainerDetail.ProtoReflect.Descriptor instead.
func (*PipelineTaskExecutorDetail_ContainerDetail) GetFailedMainJobs
func (x *PipelineTaskExecutorDetail_ContainerDetail) GetFailedMainJobs() []string
func (*PipelineTaskExecutorDetail_ContainerDetail) GetFailedPreCachingCheckJobs
func (x *PipelineTaskExecutorDetail_ContainerDetail) GetFailedPreCachingCheckJobs() []string
func (*PipelineTaskExecutorDetail_ContainerDetail) GetMainJob
func (x *PipelineTaskExecutorDetail_ContainerDetail) GetMainJob() string
func (*PipelineTaskExecutorDetail_ContainerDetail) GetPreCachingCheckJob
func (x *PipelineTaskExecutorDetail_ContainerDetail) GetPreCachingCheckJob() string
func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoMessage
func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoMessage()
func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoReflect
func (x *PipelineTaskExecutorDetail_ContainerDetail) ProtoReflect() protoreflect.Message
func (*PipelineTaskExecutorDetail_ContainerDetail) Reset
func (x *PipelineTaskExecutorDetail_ContainerDetail) Reset()
func (*PipelineTaskExecutorDetail_ContainerDetail) String
func (x *PipelineTaskExecutorDetail_ContainerDetail) String() string
PipelineTaskExecutorDetail_ContainerDetail_
type PipelineTaskExecutorDetail_ContainerDetail_ struct {
// Output only. The detailed info for a container executor.
ContainerDetail *PipelineTaskExecutorDetail_ContainerDetail `protobuf:"bytes,1,opt,name=container_detail,json=containerDetail,proto3,oneof"`
}
PipelineTaskExecutorDetail_CustomJobDetail
type PipelineTaskExecutorDetail_CustomJobDetail struct {
// Output only. The name of the
// [CustomJob][google.cloud.aiplatform.v1.CustomJob].
Job string `protobuf:"bytes,1,opt,name=job,proto3" json:"job,omitempty"`
// Output only. The names of the previously failed
// [CustomJob][google.cloud.aiplatform.v1.CustomJob]. The list includes the
// all attempts in chronological order.
FailedJobs []string `protobuf:"bytes,3,rep,name=failed_jobs,json=failedJobs,proto3" json:"failed_jobs,omitempty"`
// contains filtered or unexported fields
}
The detailed info for a custom job executor.
func (*PipelineTaskExecutorDetail_CustomJobDetail) Descriptor
func (*PipelineTaskExecutorDetail_CustomJobDetail) Descriptor() ([]byte, []int)
Deprecated: Use PipelineTaskExecutorDetail_CustomJobDetail.ProtoReflect.Descriptor instead.
func (*PipelineTaskExecutorDetail_CustomJobDetail) GetFailedJobs
func (x *PipelineTaskExecutorDetail_CustomJobDetail) GetFailedJobs() []string
func (*PipelineTaskExecutorDetail_CustomJobDetail) GetJob
func (x *PipelineTaskExecutorDetail_CustomJobDetail) GetJob() string
func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoMessage
func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoMessage()
func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoReflect
func (x *PipelineTaskExecutorDetail_CustomJobDetail) ProtoReflect() protoreflect.Message
func (*PipelineTaskExecutorDetail_CustomJobDetail) Reset
func (x *PipelineTaskExecutorDetail_CustomJobDetail) Reset()
func (*PipelineTaskExecutorDetail_CustomJobDetail) String
func (x *PipelineTaskExecutorDetail_CustomJobDetail) String() string
PipelineTaskExecutorDetail_CustomJobDetail_
type PipelineTaskExecutorDetail_CustomJobDetail_ struct {
// Output only. The detailed info for a custom job executor.
CustomJobDetail *PipelineTaskExecutorDetail_CustomJobDetail `protobuf:"bytes,2,opt,name=custom_job_detail,json=customJobDetail,proto3,oneof"`
}
PipelineTemplateMetadata
type PipelineTemplateMetadata struct {
// The version_name in artifact registry.
//
// Will always be presented in output if the
// [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
// is from supported template registry.
//
// Format is "sha256:abcdef123456...".
Version string `protobuf:"bytes,3,opt,name=version,proto3" json:"version,omitempty"`
// contains filtered or unexported fields
}
Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri] is from supported template registry. Currently, the only supported registry is Artifact Registry.
func (*PipelineTemplateMetadata) Descriptor
func (*PipelineTemplateMetadata) Descriptor() ([]byte, []int)
Deprecated: Use PipelineTemplateMetadata.ProtoReflect.Descriptor instead.
func (*PipelineTemplateMetadata) GetVersion
func (x *PipelineTemplateMetadata) GetVersion() string
func (*PipelineTemplateMetadata) ProtoMessage
func (*PipelineTemplateMetadata) ProtoMessage()
func (*PipelineTemplateMetadata) ProtoReflect
func (x *PipelineTemplateMetadata) ProtoReflect() protoreflect.Message
func (*PipelineTemplateMetadata) Reset
func (x *PipelineTemplateMetadata) Reset()
func (*PipelineTemplateMetadata) String
func (x *PipelineTemplateMetadata) String() string
Port
type Port struct {
// The number of the port to expose on the pod's IP address.
// Must be a valid port number, between 1 and 65535 inclusive.
ContainerPort int32 `protobuf:"varint,3,opt,name=container_port,json=containerPort,proto3" json:"container_port,omitempty"`
// contains filtered or unexported fields
}
Represents a network port in a container.
func (*Port) Descriptor
Deprecated: Use Port.ProtoReflect.Descriptor instead.
func (*Port) GetContainerPort
func (*Port) ProtoMessage
func (*Port) ProtoMessage()
func (*Port) ProtoReflect
func (x *Port) ProtoReflect() protoreflect.Message
func (*Port) Reset
func (x *Port) Reset()
func (*Port) String
PredefinedSplit
type PredefinedSplit struct {
// Required. The key is a name of one of the Dataset's data columns.
// The value of the key (either the label's value or value in the column)
// must be one of {`training`, `validation`, `test`}, and it defines to which
// set the given piece of data is assigned. If for a piece of data the key
// is not present or has an invalid value, that piece is ignored by the
// pipeline.
Key string `protobuf:"bytes,1,opt,name=key,proto3" json:"key,omitempty"`
// contains filtered or unexported fields
}
Assigns input data to training, validation, and test sets based on the value of a provided key.
Supported only for tabular Datasets.
func (*PredefinedSplit) Descriptor
func (*PredefinedSplit) Descriptor() ([]byte, []int)
Deprecated: Use PredefinedSplit.ProtoReflect.Descriptor instead.
func (*PredefinedSplit) GetKey
func (x *PredefinedSplit) GetKey() string
func (*PredefinedSplit) ProtoMessage
func (*PredefinedSplit) ProtoMessage()
func (*PredefinedSplit) ProtoReflect
func (x *PredefinedSplit) ProtoReflect() protoreflect.Message
func (*PredefinedSplit) Reset
func (x *PredefinedSplit) Reset()
func (*PredefinedSplit) String
func (x *PredefinedSplit) String() string
PredictRequest
type PredictRequest struct {
// Required. The name of the Endpoint requested to serve the prediction.
// Format:
// `projects/{project}/locations/{location}/endpoints/{endpoint}`
Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
// Required. The instances that are the input to the prediction call.
// A DeployedModel may have an upper limit on the number of instances it
// supports per request, and when it is exceeded the prediction call errors
// in case of AutoML Models, or, in case of customer created Models, the
// behaviour is as documented by that Model.
// The schema of any single instance may be specified via Endpoint's
// DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
// [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
// The parameters that govern the prediction. The schema of the parameters may
// be specified via Endpoint's DeployedModels' [Model's
// ][google.cloud.aiplatform.v1.DeployedModel.model]
// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
// [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
Parameters *structpb.Value `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"`
// contains filtered or unexported fields
}
Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
func (*PredictRequest) Descriptor
func (*PredictRequest) Descriptor() ([]byte, []int)
Deprecated: Use PredictRequest.ProtoReflect.Descriptor instead.
func (*PredictRequest) GetEndpoint
func (x *PredictRequest) GetEndpoint() string
func (*PredictRequest) GetInstances
func (x *PredictRequest) GetInstances() []*structpb.Value
func (*PredictRequest) GetParameters
func (x *PredictRequest) GetParameters() *structpb.Value
func (*PredictRequest) ProtoMessage
func (*PredictRequest) ProtoMessage()
func (*PredictRequest) ProtoReflect
func (x *PredictRequest) ProtoReflect() protoreflect.Message
func (*PredictRequest) Reset
func (x *PredictRequest) Reset()
func (*PredictRequest) String
func (x *PredictRequest) String() string
PredictRequestResponseLoggingConfig
type PredictRequestResponseLoggingConfig struct {
// If logging is enabled or not.
Enabled bool `protobuf:"varint,1,opt,name=enabled,proto3" json:"enabled,omitempty"`
// Percentage of requests to be logged, expressed as a fraction in
// range(0,1].
SamplingRate float64 `protobuf:"fixed64,2,opt,name=sampling_rate,json=samplingRate,proto3" json:"sampling_rate,omitempty"`
// BigQuery table for logging.
// If only given a project, a new dataset will be created with name
// `logging_
Configuration for logging request-response to a BigQuery table.
func (*PredictRequestResponseLoggingConfig) Descriptor
func (*PredictRequestResponseLoggingConfig) Descriptor() ([]byte, []int)
Deprecated: Use PredictRequestResponseLoggingConfig.ProtoReflect.Descriptor instead.
func (*PredictRequestResponseLoggingConfig) GetBigqueryDestination
func (x *PredictRequestResponseLoggingConfig) GetBigqueryDestination() *BigQueryDestination
func (*PredictRequestResponseLoggingConfig) GetEnabled
func (x *PredictRequestResponseLoggingConfig) GetEnabled() bool
func (*PredictRequestResponseLoggingConfig) GetSamplingRate
func (x *PredictRequestResponseLoggingConfig) GetSamplingRate() float64
func (*PredictRequestResponseLoggingConfig) ProtoMessage
func (*PredictRequestResponseLoggingConfig) ProtoMessage()
func (*PredictRequestResponseLoggingConfig) ProtoReflect
func (x *PredictRequestResponseLoggingConfig) ProtoReflect() protoreflect.Message
func (*PredictRequestResponseLoggingConfig) Reset
func (x *PredictRequestResponseLoggingConfig) Reset()
func (*PredictRequestResponseLoggingConfig) String
func (x *PredictRequestResponseLoggingConfig) String() string
PredictResponse
type PredictResponse struct {
// The predictions that are the output of the predictions call.
// The schema of any single prediction may be specified via Endpoint's
// DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
// [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
Predictions []*structpb.Value `protobuf:"bytes,1,rep,name=predictions,proto3" json:"predictions,omitempty"`
// ID of the Endpoint's DeployedModel that served this prediction.
DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
// Output only. The resource name of the Model which is deployed as the
// DeployedModel that this prediction hits.
Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
// Output only. The version ID of the Model which is deployed as the
// DeployedModel that this prediction hits.
ModelVersionId string `protobuf:"bytes,5,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
// Output only. The [display
// name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is
// deployed as the DeployedModel that this prediction hits.
ModelDisplayName string `protobuf:"bytes,4,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
// contains filtered or unexported fields
}
Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
func (*PredictResponse) Descriptor
func (*PredictResponse) Descriptor() ([]byte, []int)
Deprecated: Use PredictResponse.ProtoReflect.Descriptor instead.
func (*PredictResponse) GetDeployedModelId
func (x *PredictResponse) GetDeployedModelId() string
func (*PredictResponse) GetModel
func (x *PredictResponse) GetModel() string
func (*PredictResponse) GetModelDisplayName
func (x *PredictResponse) GetModelDisplayName() string
func (*PredictResponse) GetModelVersionId
func (x *PredictResponse) GetModelVersionId() string
func (*PredictResponse) GetPredictions
func (x *PredictResponse) GetPredictions() []*structpb.Value
func (*PredictResponse) ProtoMessage
func (*PredictResponse) ProtoMessage()
func (*PredictResponse) ProtoReflect
func (x *PredictResponse) ProtoReflect() protoreflect.Message
func (*PredictResponse) Reset
func (x *PredictResponse) Reset()
func (*PredictResponse) String
func (x *PredictResponse) String() string
PredictSchemata
type PredictSchemata struct {
// Immutable. Points to a YAML file stored on Google Cloud Storage describing
// the format of a single instance, which are used in
// [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
// [ExplainRequest.instances][google.cloud.aiplatform.v1.ExplainRequest.instances]
// and
// [BatchPredictionJob.input_config][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
// The schema is defined as an OpenAPI 3.0.2 [Schema
// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
// AutoML Models always have this field populated by Vertex AI.
// Note: The URI given on output will be immutable and probably different,
// including the URI scheme, than the one given on input. The output URI will
// point to a location where the user only has a read access.
InstanceSchemaUri string `protobuf:"bytes,1,opt,name=instance_schema_uri,json=instanceSchemaUri,proto3" json:"instance_schema_uri,omitempty"`
// Immutable. Points to a YAML file stored on Google Cloud Storage describing
// the parameters of prediction and explanation via
// [PredictRequest.parameters][google.cloud.aiplatform.v1.PredictRequest.parameters],
// [ExplainRequest.parameters][google.cloud.aiplatform.v1.ExplainRequest.parameters]
// and
// [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1.BatchPredictionJob.model_parameters].
// The schema is defined as an OpenAPI 3.0.2 [Schema
// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
// AutoML Models always have this field populated by Vertex AI, if no
// parameters are supported, then it is set to an empty string.
// Note: The URI given on output will be immutable and probably different,
// including the URI scheme, than the one given on input. The output URI will
// point to a location where the user only has a read access.
ParametersSchemaUri string `protobuf:"bytes,2,opt,name=parameters_schema_uri,json=parametersSchemaUri,proto3" json:"parameters_schema_uri,omitempty"`
// Immutable. Points to a YAML file stored on Google Cloud Storage describing
// the format of a single prediction produced by this Model, which are
// returned via
// [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions],
// [ExplainResponse.explanations][google.cloud.aiplatform.v1.ExplainResponse.explanations],
// and
// [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config].
// The schema is defined as an OpenAPI 3.0.2 [Schema
// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
// AutoML Models always have this field populated by Vertex AI.
// Note: The URI given on output will be immutable and probably different,
// including the URI scheme, than the one given on input. The output URI will
// point to a location where the user only has a read access.
PredictionSchemaUri string `protobuf:"bytes,3,opt,name=prediction_schema_uri,json=predictionSchemaUri,proto3" json:"prediction_schema_uri,omitempty"`
// contains filtered or unexported fields
}
Contains the schemata used in Model's predictions and explanations via [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain] and [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
func (*PredictSchemata) Descriptor
func (*PredictSchemata) Descriptor() ([]byte, []int)
Deprecated: Use PredictSchemata.ProtoReflect.Descriptor instead.
func (*PredictSchemata) GetInstanceSchemaUri
func (x *PredictSchemata) GetInstanceSchemaUri() string
func (*PredictSchemata) GetParametersSchemaUri
func (x *PredictSchemata) GetParametersSchemaUri() string
func (*PredictSchemata) GetPredictionSchemaUri
func (x *PredictSchemata) GetPredictionSchemaUri() string
func (*PredictSchemata) ProtoMessage
func (*PredictSchemata) ProtoMessage()
func (*PredictSchemata) ProtoReflect
func (x *PredictSchemata) ProtoReflect() protoreflect.Message
func (*PredictSchemata) Reset
func (x *PredictSchemata) Reset()
func (*PredictSchemata) String
func (x *PredictSchemata) String() string
PredictionServiceClient
type PredictionServiceClient interface {
// Perform an online prediction.
Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, error)
// Perform an online prediction with an arbitrary HTTP payload.
//
// The response includes the following HTTP headers:
//
// * `X-Vertex-AI-Endpoint-Id`: ID of the
// [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
// prediction.
//
// * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
// prediction.
RawPredict(ctx context.Context, in *RawPredictRequest, opts ...grpc.CallOption) (*httpbody.HttpBody, error)
// Perform an online explanation.
//
// If
// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
// is specified, the corresponding DeployModel must have
// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
// populated. If
// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
// is not specified, all DeployedModels must have
// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
// populated. Only deployed AutoML tabular Models have
// explanation_spec.
Explain(ctx context.Context, in *ExplainRequest, opts ...grpc.CallOption) (*ExplainResponse, error)
}
PredictionServiceClient is the client API for PredictionService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewPredictionServiceClient
func NewPredictionServiceClient(cc grpc.ClientConnInterface) PredictionServiceClient
PredictionServiceServer
type PredictionServiceServer interface {
// Perform an online prediction.
Predict(context.Context, *PredictRequest) (*PredictResponse, error)
// Perform an online prediction with an arbitrary HTTP payload.
//
// The response includes the following HTTP headers:
//
// * `X-Vertex-AI-Endpoint-Id`: ID of the
// [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this
// prediction.
//
// * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's
// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this
// prediction.
RawPredict(context.Context, *RawPredictRequest) (*httpbody.HttpBody, error)
// Perform an online explanation.
//
// If
// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
// is specified, the corresponding DeployModel must have
// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
// populated. If
// [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id]
// is not specified, all DeployedModels must have
// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
// populated. Only deployed AutoML tabular Models have
// explanation_spec.
Explain(context.Context, *ExplainRequest) (*ExplainResponse, error)
}
PredictionServiceServer is the server API for PredictionService service.
PrivateEndpoints
type PrivateEndpoints struct {
// Output only. Http(s) path to send prediction requests.
PredictHttpUri string `protobuf:"bytes,1,opt,name=predict_http_uri,json=predictHttpUri,proto3" json:"predict_http_uri,omitempty"`
// Output only. Http(s) path to send explain requests.
ExplainHttpUri string `protobuf:"bytes,2,opt,name=explain_http_uri,json=explainHttpUri,proto3" json:"explain_http_uri,omitempty"`
// Output only. Http(s) path to send health check requests.
HealthHttpUri string `protobuf:"bytes,3,opt,name=health_http_uri,json=healthHttpUri,proto3" json:"health_http_uri,omitempty"`
// Output only. The name of the service attachment resource. Populated if
// private service connect is enabled.
ServiceAttachment string `protobuf:"bytes,4,opt,name=service_attachment,json=serviceAttachment,proto3" json:"service_attachment,omitempty"`
// contains filtered or unexported fields
}
PrivateEndpoints proto is used to provide paths for users to send requests privately. To send request via private service access, use predict_http_uri, explain_http_uri or health_http_uri. To send request via private service connect, use service_attachment.
func (*PrivateEndpoints) Descriptor
func (*PrivateEndpoints) Descriptor() ([]byte, []int)
Deprecated: Use PrivateEndpoints.ProtoReflect.Descriptor instead.
func (*PrivateEndpoints) GetExplainHttpUri
func (x *PrivateEndpoints) GetExplainHttpUri() string
func (*PrivateEndpoints) GetHealthHttpUri
func (x *PrivateEndpoints) GetHealthHttpUri() string
func (*PrivateEndpoints) GetPredictHttpUri
func (x *PrivateEndpoints) GetPredictHttpUri() string
func (*PrivateEndpoints) GetServiceAttachment
func (x *PrivateEndpoints) GetServiceAttachment() string
func (*PrivateEndpoints) ProtoMessage
func (*PrivateEndpoints) ProtoMessage()
func (*PrivateEndpoints) ProtoReflect
func (x *PrivateEndpoints) ProtoReflect() protoreflect.Message
func (*PrivateEndpoints) Reset
func (x *PrivateEndpoints) Reset()
func (*PrivateEndpoints) String
func (x *PrivateEndpoints) String() string
PrivateServiceConnectConfig
type PrivateServiceConnectConfig struct {
EnablePrivateServiceConnect bool "" /* 147 byte string literal not displayed */
ProjectAllowlist []string `protobuf:"bytes,2,rep,name=project_allowlist,json=projectAllowlist,proto3" json:"project_allowlist,omitempty"`
}
Represents configuration for private service connect.
func (*PrivateServiceConnectConfig) Descriptor
func (*PrivateServiceConnectConfig) Descriptor() ([]byte, []int)
Deprecated: Use PrivateServiceConnectConfig.ProtoReflect.Descriptor instead.
func (*PrivateServiceConnectConfig) GetEnablePrivateServiceConnect
func (x *PrivateServiceConnectConfig) GetEnablePrivateServiceConnect() bool
func (*PrivateServiceConnectConfig) GetProjectAllowlist
func (x *PrivateServiceConnectConfig) GetProjectAllowlist() []string
func (*PrivateServiceConnectConfig) ProtoMessage
func (*PrivateServiceConnectConfig) ProtoMessage()
func (*PrivateServiceConnectConfig) ProtoReflect
func (x *PrivateServiceConnectConfig) ProtoReflect() protoreflect.Message
func (*PrivateServiceConnectConfig) Reset
func (x *PrivateServiceConnectConfig) Reset()
func (*PrivateServiceConnectConfig) String
func (x *PrivateServiceConnectConfig) String() string
PurgeArtifactsMetadata
type PurgeArtifactsMetadata struct {
// Operation metadata for purging Artifacts.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
func (*PurgeArtifactsMetadata) Descriptor
func (*PurgeArtifactsMetadata) Descriptor() ([]byte, []int)
Deprecated: Use PurgeArtifactsMetadata.ProtoReflect.Descriptor instead.
func (*PurgeArtifactsMetadata) GetGenericMetadata
func (x *PurgeArtifactsMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*PurgeArtifactsMetadata) ProtoMessage
func (*PurgeArtifactsMetadata) ProtoMessage()
func (*PurgeArtifactsMetadata) ProtoReflect
func (x *PurgeArtifactsMetadata) ProtoReflect() protoreflect.Message
func (*PurgeArtifactsMetadata) Reset
func (x *PurgeArtifactsMetadata) Reset()
func (*PurgeArtifactsMetadata) String
func (x *PurgeArtifactsMetadata) String() string
PurgeArtifactsRequest
type PurgeArtifactsRequest struct {
// Required. The metadata store to purge Artifacts from.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. A required filter matching the Artifacts to be purged.
// E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" filter="">string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// Optional. Flag to indicate to actually perform the purge.
// If `force` is set to false, the method will return a sample of
// Artifact names that would be deleted.
Force bool `protobuf:"varint,3,opt,name=force,proto3" json:"force,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
func (*PurgeArtifactsRequest) Descriptor
func (*PurgeArtifactsRequest) Descriptor() ([]byte, []int)
Deprecated: Use PurgeArtifactsRequest.ProtoReflect.Descriptor instead.
func (*PurgeArtifactsRequest) GetFilter
func (x *PurgeArtifactsRequest) GetFilter() string
func (*PurgeArtifactsRequest) GetForce
func (x *PurgeArtifactsRequest) GetForce() bool
func (*PurgeArtifactsRequest) GetParent
func (x *PurgeArtifactsRequest) GetParent() string
func (*PurgeArtifactsRequest) ProtoMessage
func (*PurgeArtifactsRequest) ProtoMessage()
func (*PurgeArtifactsRequest) ProtoReflect
func (x *PurgeArtifactsRequest) ProtoReflect() protoreflect.Message
func (*PurgeArtifactsRequest) Reset
func (x *PurgeArtifactsRequest) Reset()
func (*PurgeArtifactsRequest) String
func (x *PurgeArtifactsRequest) String() string
PurgeArtifactsResponse
type PurgeArtifactsResponse struct {
// The number of Artifacts that this request deleted (or, if `force` is false,
// the number of Artifacts that will be deleted). This can be an estimate.
PurgeCount int64 `protobuf:"varint,1,opt,name=purge_count,json=purgeCount,proto3" json:"purge_count,omitempty"`
// A sample of the Artifact names that will be deleted.
// Only populated if `force` is set to false. The maximum number of samples is
// 100 (it is possible to return fewer).
PurgeSample []string `protobuf:"bytes,2,rep,name=purge_sample,json=purgeSample,proto3" json:"purge_sample,omitempty"`
// contains filtered or unexported fields
}
Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
func (*PurgeArtifactsResponse) Descriptor
func (*PurgeArtifactsResponse) Descriptor() ([]byte, []int)
Deprecated: Use PurgeArtifactsResponse.ProtoReflect.Descriptor instead.
func (*PurgeArtifactsResponse) GetPurgeCount
func (x *PurgeArtifactsResponse) GetPurgeCount() int64
func (*PurgeArtifactsResponse) GetPurgeSample
func (x *PurgeArtifactsResponse) GetPurgeSample() []string
func (*PurgeArtifactsResponse) ProtoMessage
func (*PurgeArtifactsResponse) ProtoMessage()
func (*PurgeArtifactsResponse) ProtoReflect
func (x *PurgeArtifactsResponse) ProtoReflect() protoreflect.Message
func (*PurgeArtifactsResponse) Reset
func (x *PurgeArtifactsResponse) Reset()
func (*PurgeArtifactsResponse) String
func (x *PurgeArtifactsResponse) String() string
PurgeContextsMetadata
type PurgeContextsMetadata struct {
// Operation metadata for purging Contexts.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
func (*PurgeContextsMetadata) Descriptor
func (*PurgeContextsMetadata) Descriptor() ([]byte, []int)
Deprecated: Use PurgeContextsMetadata.ProtoReflect.Descriptor instead.
func (*PurgeContextsMetadata) GetGenericMetadata
func (x *PurgeContextsMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*PurgeContextsMetadata) ProtoMessage
func (*PurgeContextsMetadata) ProtoMessage()
func (*PurgeContextsMetadata) ProtoReflect
func (x *PurgeContextsMetadata) ProtoReflect() protoreflect.Message
func (*PurgeContextsMetadata) Reset
func (x *PurgeContextsMetadata) Reset()
func (*PurgeContextsMetadata) String
func (x *PurgeContextsMetadata) String() string
PurgeContextsRequest
type PurgeContextsRequest struct {
// Required. The metadata store to purge Contexts from.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. A required filter matching the Contexts to be purged.
// E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" filter="">string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// Optional. Flag to indicate to actually perform the purge.
// If `force` is set to false, the method will return a sample of
// Context names that would be deleted.
Force bool `protobuf:"varint,3,opt,name=force,proto3" json:"force,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
func (*PurgeContextsRequest) Descriptor
func (*PurgeContextsRequest) Descriptor() ([]byte, []int)
Deprecated: Use PurgeContextsRequest.ProtoReflect.Descriptor instead.
func (*PurgeContextsRequest) GetFilter
func (x *PurgeContextsRequest) GetFilter() string
func (*PurgeContextsRequest) GetForce
func (x *PurgeContextsRequest) GetForce() bool
func (*PurgeContextsRequest) GetParent
func (x *PurgeContextsRequest) GetParent() string
func (*PurgeContextsRequest) ProtoMessage
func (*PurgeContextsRequest) ProtoMessage()
func (*PurgeContextsRequest) ProtoReflect
func (x *PurgeContextsRequest) ProtoReflect() protoreflect.Message
func (*PurgeContextsRequest) Reset
func (x *PurgeContextsRequest) Reset()
func (*PurgeContextsRequest) String
func (x *PurgeContextsRequest) String() string
PurgeContextsResponse
type PurgeContextsResponse struct {
// The number of Contexts that this request deleted (or, if `force` is false,
// the number of Contexts that will be deleted). This can be an estimate.
PurgeCount int64 `protobuf:"varint,1,opt,name=purge_count,json=purgeCount,proto3" json:"purge_count,omitempty"`
// A sample of the Context names that will be deleted.
// Only populated if `force` is set to false. The maximum number of samples is
// 100 (it is possible to return fewer).
PurgeSample []string `protobuf:"bytes,2,rep,name=purge_sample,json=purgeSample,proto3" json:"purge_sample,omitempty"`
// contains filtered or unexported fields
}
Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
func (*PurgeContextsResponse) Descriptor
func (*PurgeContextsResponse) Descriptor() ([]byte, []int)
Deprecated: Use PurgeContextsResponse.ProtoReflect.Descriptor instead.
func (*PurgeContextsResponse) GetPurgeCount
func (x *PurgeContextsResponse) GetPurgeCount() int64
func (*PurgeContextsResponse) GetPurgeSample
func (x *PurgeContextsResponse) GetPurgeSample() []string
func (*PurgeContextsResponse) ProtoMessage
func (*PurgeContextsResponse) ProtoMessage()
func (*PurgeContextsResponse) ProtoReflect
func (x *PurgeContextsResponse) ProtoReflect() protoreflect.Message
func (*PurgeContextsResponse) Reset
func (x *PurgeContextsResponse) Reset()
func (*PurgeContextsResponse) String
func (x *PurgeContextsResponse) String() string
PurgeExecutionsMetadata
type PurgeExecutionsMetadata struct {
// Operation metadata for purging Executions.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
func (*PurgeExecutionsMetadata) Descriptor
func (*PurgeExecutionsMetadata) Descriptor() ([]byte, []int)
Deprecated: Use PurgeExecutionsMetadata.ProtoReflect.Descriptor instead.
func (*PurgeExecutionsMetadata) GetGenericMetadata
func (x *PurgeExecutionsMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*PurgeExecutionsMetadata) ProtoMessage
func (*PurgeExecutionsMetadata) ProtoMessage()
func (*PurgeExecutionsMetadata) ProtoReflect
func (x *PurgeExecutionsMetadata) ProtoReflect() protoreflect.Message
func (*PurgeExecutionsMetadata) Reset
func (x *PurgeExecutionsMetadata) Reset()
func (*PurgeExecutionsMetadata) String
func (x *PurgeExecutionsMetadata) String() string
PurgeExecutionsRequest
type PurgeExecutionsRequest struct {
// Required. The metadata store to purge Executions from.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. A required filter matching the Executions to be purged.
// E.g., `update_time <= 2020-11-19t11:30:00-04:00`.="" filter="">string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
// Optional. Flag to indicate to actually perform the purge.
// If `force` is set to false, the method will return a sample of
// Execution names that would be deleted.
Force bool `protobuf:"varint,3,opt,name=force,proto3" json:"force,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
func (*PurgeExecutionsRequest) Descriptor
func (*PurgeExecutionsRequest) Descriptor() ([]byte, []int)
Deprecated: Use PurgeExecutionsRequest.ProtoReflect.Descriptor instead.
func (*PurgeExecutionsRequest) GetFilter
func (x *PurgeExecutionsRequest) GetFilter() string
func (*PurgeExecutionsRequest) GetForce
func (x *PurgeExecutionsRequest) GetForce() bool
func (*PurgeExecutionsRequest) GetParent
func (x *PurgeExecutionsRequest) GetParent() string
func (*PurgeExecutionsRequest) ProtoMessage
func (*PurgeExecutionsRequest) ProtoMessage()
func (*PurgeExecutionsRequest) ProtoReflect
func (x *PurgeExecutionsRequest) ProtoReflect() protoreflect.Message
func (*PurgeExecutionsRequest) Reset
func (x *PurgeExecutionsRequest) Reset()
func (*PurgeExecutionsRequest) String
func (x *PurgeExecutionsRequest) String() string
PurgeExecutionsResponse
type PurgeExecutionsResponse struct {
// The number of Executions that this request deleted (or, if `force` is
// false, the number of Executions that will be deleted). This can be an
// estimate.
PurgeCount int64 `protobuf:"varint,1,opt,name=purge_count,json=purgeCount,proto3" json:"purge_count,omitempty"`
// A sample of the Execution names that will be deleted.
// Only populated if `force` is set to false. The maximum number of samples is
// 100 (it is possible to return fewer).
PurgeSample []string `protobuf:"bytes,2,rep,name=purge_sample,json=purgeSample,proto3" json:"purge_sample,omitempty"`
// contains filtered or unexported fields
}
Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
func (*PurgeExecutionsResponse) Descriptor
func (*PurgeExecutionsResponse) Descriptor() ([]byte, []int)
Deprecated: Use PurgeExecutionsResponse.ProtoReflect.Descriptor instead.
func (*PurgeExecutionsResponse) GetPurgeCount
func (x *PurgeExecutionsResponse) GetPurgeCount() int64
func (*PurgeExecutionsResponse) GetPurgeSample
func (x *PurgeExecutionsResponse) GetPurgeSample() []string
func (*PurgeExecutionsResponse) ProtoMessage
func (*PurgeExecutionsResponse) ProtoMessage()
func (*PurgeExecutionsResponse) ProtoReflect
func (x *PurgeExecutionsResponse) ProtoReflect() protoreflect.Message
func (*PurgeExecutionsResponse) Reset
func (x *PurgeExecutionsResponse) Reset()
func (*PurgeExecutionsResponse) String
func (x *PurgeExecutionsResponse) String() string
PythonPackageSpec
type PythonPackageSpec struct {
// Required. The URI of a container image in Artifact Registry that will run
// the provided Python package. Vertex AI provides a wide range of executor
// images with pre-installed packages to meet users' various use cases. See
// the list of [pre-built containers for
// training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
// You must use an image from this list.
ExecutorImageUri string `protobuf:"bytes,1,opt,name=executor_image_uri,json=executorImageUri,proto3" json:"executor_image_uri,omitempty"`
// Required. The Google Cloud Storage location of the Python package files
// which are the training program and its dependent packages. The maximum
// number of package URIs is 100.
PackageUris []string `protobuf:"bytes,2,rep,name=package_uris,json=packageUris,proto3" json:"package_uris,omitempty"`
// Required. The Python module name to run after installing the packages.
PythonModule string `protobuf:"bytes,3,opt,name=python_module,json=pythonModule,proto3" json:"python_module,omitempty"`
// Command line arguments to be passed to the Python task.
Args []string `protobuf:"bytes,4,rep,name=args,proto3" json:"args,omitempty"`
// Environment variables to be passed to the python module.
// Maximum limit is 100.
Env []*EnvVar `protobuf:"bytes,5,rep,name=env,proto3" json:"env,omitempty"`
// contains filtered or unexported fields
}
The spec of a Python packaged code.
func (*PythonPackageSpec) Descriptor
func (*PythonPackageSpec) Descriptor() ([]byte, []int)
Deprecated: Use PythonPackageSpec.ProtoReflect.Descriptor instead.
func (*PythonPackageSpec) GetArgs
func (x *PythonPackageSpec) GetArgs() []string
func (*PythonPackageSpec) GetEnv
func (x *PythonPackageSpec) GetEnv() []*EnvVar
func (*PythonPackageSpec) GetExecutorImageUri
func (x *PythonPackageSpec) GetExecutorImageUri() string
func (*PythonPackageSpec) GetPackageUris
func (x *PythonPackageSpec) GetPackageUris() []string
func (*PythonPackageSpec) GetPythonModule
func (x *PythonPackageSpec) GetPythonModule() string
func (*PythonPackageSpec) ProtoMessage
func (*PythonPackageSpec) ProtoMessage()
func (*PythonPackageSpec) ProtoReflect
func (x *PythonPackageSpec) ProtoReflect() protoreflect.Message
func (*PythonPackageSpec) Reset
func (x *PythonPackageSpec) Reset()
func (*PythonPackageSpec) String
func (x *PythonPackageSpec) String() string
QueryArtifactLineageSubgraphRequest
type QueryArtifactLineageSubgraphRequest struct {
// Required. The resource name of the Artifact whose Lineage needs to be
// retrieved as a LineageSubgraph. Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
//
// The request may error with FAILED_PRECONDITION if the number of Artifacts,
// the number of Executions, or the number of Events that would be returned
// for the Context exceeds 1000.
Artifact string `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
// Specifies the size of the lineage graph in terms of number of hops from the
// specified artifact.
// Negative Value: INVALID_ARGUMENT error is returned
// 0: Only input artifact is returned.
// No value: Transitive closure is performed to return the complete graph.
MaxHops int32 `protobuf:"varint,2,opt,name=max_hops,json=maxHops,proto3" json:"max_hops,omitempty"`
// Filter specifying the boolean condition for the Artifacts to satisfy in
// order to be part of the Lineage Subgraph.
// The syntax to define filter query is based on https://google.aip.dev/160.
// The supported set of filters include the following:
//
// * **Attribute filtering**:
// For example: `display_name = "test"`
// Supported fields include: `name`, `display_name`, `uri`, `state`,
// `schema_title`, `create_time`, and `update_time`.
// Time fields, such as `create_time` and `update_time`, require values
// specified in RFC-3339 format.
// For example: `create_time = "2020-11-19T11:30:00-04:00"`
// * **Metadata field**:
// To filter on metadata fields use traversal operation as follows:
// `metadata.
Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
func (*QueryArtifactLineageSubgraphRequest) Descriptor
func (*QueryArtifactLineageSubgraphRequest) Descriptor() ([]byte, []int)
Deprecated: Use QueryArtifactLineageSubgraphRequest.ProtoReflect.Descriptor instead.
func (*QueryArtifactLineageSubgraphRequest) GetArtifact
func (x *QueryArtifactLineageSubgraphRequest) GetArtifact() string
func (*QueryArtifactLineageSubgraphRequest) GetFilter
func (x *QueryArtifactLineageSubgraphRequest) GetFilter() string
func (*QueryArtifactLineageSubgraphRequest) GetMaxHops
func (x *QueryArtifactLineageSubgraphRequest) GetMaxHops() int32
func (*QueryArtifactLineageSubgraphRequest) ProtoMessage
func (*QueryArtifactLineageSubgraphRequest) ProtoMessage()
func (*QueryArtifactLineageSubgraphRequest) ProtoReflect
func (x *QueryArtifactLineageSubgraphRequest) ProtoReflect() protoreflect.Message
func (*QueryArtifactLineageSubgraphRequest) Reset
func (x *QueryArtifactLineageSubgraphRequest) Reset()
func (*QueryArtifactLineageSubgraphRequest) String
func (x *QueryArtifactLineageSubgraphRequest) String() string
QueryContextLineageSubgraphRequest
type QueryContextLineageSubgraphRequest struct {
// Required. The resource name of the Context whose Artifacts and Executions
// should be retrieved as a LineageSubgraph.
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
//
// The request may error with FAILED_PRECONDITION if the number of Artifacts,
// the number of Executions, or the number of Events that would be returned
// for the Context exceeds 1000.
Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
func (*QueryContextLineageSubgraphRequest) Descriptor
func (*QueryContextLineageSubgraphRequest) Descriptor() ([]byte, []int)
Deprecated: Use QueryContextLineageSubgraphRequest.ProtoReflect.Descriptor instead.
func (*QueryContextLineageSubgraphRequest) GetContext
func (x *QueryContextLineageSubgraphRequest) GetContext() string
func (*QueryContextLineageSubgraphRequest) ProtoMessage
func (*QueryContextLineageSubgraphRequest) ProtoMessage()
func (*QueryContextLineageSubgraphRequest) ProtoReflect
func (x *QueryContextLineageSubgraphRequest) ProtoReflect() protoreflect.Message
func (*QueryContextLineageSubgraphRequest) Reset
func (x *QueryContextLineageSubgraphRequest) Reset()
func (*QueryContextLineageSubgraphRequest) String
func (x *QueryContextLineageSubgraphRequest) String() string
QueryExecutionInputsAndOutputsRequest
type QueryExecutionInputsAndOutputsRequest struct {
// Required. The resource name of the Execution whose input and output
// Artifacts should be retrieved as a LineageSubgraph. Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
Execution string `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
func (*QueryExecutionInputsAndOutputsRequest) Descriptor
func (*QueryExecutionInputsAndOutputsRequest) Descriptor() ([]byte, []int)
Deprecated: Use QueryExecutionInputsAndOutputsRequest.ProtoReflect.Descriptor instead.
func (*QueryExecutionInputsAndOutputsRequest) GetExecution
func (x *QueryExecutionInputsAndOutputsRequest) GetExecution() string
func (*QueryExecutionInputsAndOutputsRequest) ProtoMessage
func (*QueryExecutionInputsAndOutputsRequest) ProtoMessage()
func (*QueryExecutionInputsAndOutputsRequest) ProtoReflect
func (x *QueryExecutionInputsAndOutputsRequest) ProtoReflect() protoreflect.Message
func (*QueryExecutionInputsAndOutputsRequest) Reset
func (x *QueryExecutionInputsAndOutputsRequest) Reset()
func (*QueryExecutionInputsAndOutputsRequest) String
func (x *QueryExecutionInputsAndOutputsRequest) String() string
RawPredictRequest
type RawPredictRequest struct {
// Required. The name of the Endpoint requested to serve the prediction.
// Format:
// `projects/{project}/locations/{location}/endpoints/{endpoint}`
Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
// The prediction input. Supports HTTP headers and arbitrary data payload.
//
// A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an
// upper limit on the number of instances it supports per request. When this
// limit it is exceeded for an AutoML model, the
// [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]
// method returns an error. When this limit is exceeded for a custom-trained
// model, the behavior varies depending on the model.
//
// You can specify the schema for each instance in the
// [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
// field when you create a [Model][google.cloud.aiplatform.v1.Model]. This
// schema applies when you deploy the `Model` as a `DeployedModel` to an
// [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the `RawPredict`
// method.
HttpBody *httpbody.HttpBody `protobuf:"bytes,2,opt,name=http_body,json=httpBody,proto3" json:"http_body,omitempty"`
// contains filtered or unexported fields
}
Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
func (*RawPredictRequest) Descriptor
func (*RawPredictRequest) Descriptor() ([]byte, []int)
Deprecated: Use RawPredictRequest.ProtoReflect.Descriptor instead.
func (*RawPredictRequest) GetEndpoint
func (x *RawPredictRequest) GetEndpoint() string
func (*RawPredictRequest) GetHttpBody
func (x *RawPredictRequest) GetHttpBody() *httpbody.HttpBody
func (*RawPredictRequest) ProtoMessage
func (*RawPredictRequest) ProtoMessage()
func (*RawPredictRequest) ProtoReflect
func (x *RawPredictRequest) ProtoReflect() protoreflect.Message
func (*RawPredictRequest) Reset
func (x *RawPredictRequest) Reset()
func (*RawPredictRequest) String
func (x *RawPredictRequest) String() string
ReadFeatureValuesRequest
type ReadFeatureValuesRequest struct {
// Required. The resource name of the EntityType for the entity being read.
// Value format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
// For example, for a machine learning model predicting user clicks on a
// website, an EntityType ID could be `user`.
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Required. ID for a specific entity. For example,
// for a machine learning model predicting user clicks on a website, an entity
// ID could be `user_123`.
EntityId string `protobuf:"bytes,2,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
// Required. Selector choosing Features of the target EntityType.
FeatureSelector *FeatureSelector `protobuf:"bytes,3,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
func (*ReadFeatureValuesRequest) Descriptor
func (*ReadFeatureValuesRequest) Descriptor() ([]byte, []int)
Deprecated: Use ReadFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesRequest) GetEntityId
func (x *ReadFeatureValuesRequest) GetEntityId() string
func (*ReadFeatureValuesRequest) GetEntityType
func (x *ReadFeatureValuesRequest) GetEntityType() string
func (*ReadFeatureValuesRequest) GetFeatureSelector
func (x *ReadFeatureValuesRequest) GetFeatureSelector() *FeatureSelector
func (*ReadFeatureValuesRequest) ProtoMessage
func (*ReadFeatureValuesRequest) ProtoMessage()
func (*ReadFeatureValuesRequest) ProtoReflect
func (x *ReadFeatureValuesRequest) ProtoReflect() protoreflect.Message
func (*ReadFeatureValuesRequest) Reset
func (x *ReadFeatureValuesRequest) Reset()
func (*ReadFeatureValuesRequest) String
func (x *ReadFeatureValuesRequest) String() string
ReadFeatureValuesResponse
type ReadFeatureValuesResponse struct {
// Response header.
Header *ReadFeatureValuesResponse_Header `protobuf:"bytes,1,opt,name=header,proto3" json:"header,omitempty"`
// Entity view with Feature values. This may be the entity in the
// Featurestore if values for all Features were requested, or a projection
// of the entity in the Featurestore if values for only some Features were
// requested.
EntityView *ReadFeatureValuesResponse_EntityView `protobuf:"bytes,2,opt,name=entity_view,json=entityView,proto3" json:"entity_view,omitempty"`
// contains filtered or unexported fields
}
Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
func (*ReadFeatureValuesResponse) Descriptor
func (*ReadFeatureValuesResponse) Descriptor() ([]byte, []int)
Deprecated: Use ReadFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesResponse) GetEntityView
func (x *ReadFeatureValuesResponse) GetEntityView() *ReadFeatureValuesResponse_EntityView
func (*ReadFeatureValuesResponse) GetHeader
func (x *ReadFeatureValuesResponse) GetHeader() *ReadFeatureValuesResponse_Header
func (*ReadFeatureValuesResponse) ProtoMessage
func (*ReadFeatureValuesResponse) ProtoMessage()
func (*ReadFeatureValuesResponse) ProtoReflect
func (x *ReadFeatureValuesResponse) ProtoReflect() protoreflect.Message
func (*ReadFeatureValuesResponse) Reset
func (x *ReadFeatureValuesResponse) Reset()
func (*ReadFeatureValuesResponse) String
func (x *ReadFeatureValuesResponse) String() string
ReadFeatureValuesResponse_EntityView
type ReadFeatureValuesResponse_EntityView struct {
// ID of the requested entity.
EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
// Each piece of data holds the k
// requested values for one requested Feature. If no values
// for the requested Feature exist, the corresponding cell will be empty.
// This has the same size and is in the same order as the features from the
// header
// [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
Data []*ReadFeatureValuesResponse_EntityView_Data `protobuf:"bytes,2,rep,name=data,proto3" json:"data,omitempty"`
// contains filtered or unexported fields
}
Entity view with Feature values.
func (*ReadFeatureValuesResponse_EntityView) Descriptor
func (*ReadFeatureValuesResponse_EntityView) Descriptor() ([]byte, []int)
Deprecated: Use ReadFeatureValuesResponse_EntityView.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesResponse_EntityView) GetData
func (x *ReadFeatureValuesResponse_EntityView) GetData() []*ReadFeatureValuesResponse_EntityView_Data
func (*ReadFeatureValuesResponse_EntityView) GetEntityId
func (x *ReadFeatureValuesResponse_EntityView) GetEntityId() string
func (*ReadFeatureValuesResponse_EntityView) ProtoMessage
func (*ReadFeatureValuesResponse_EntityView) ProtoMessage()
func (*ReadFeatureValuesResponse_EntityView) ProtoReflect
func (x *ReadFeatureValuesResponse_EntityView) ProtoReflect() protoreflect.Message
func (*ReadFeatureValuesResponse_EntityView) Reset
func (x *ReadFeatureValuesResponse_EntityView) Reset()
func (*ReadFeatureValuesResponse_EntityView) String
func (x *ReadFeatureValuesResponse_EntityView) String() string
ReadFeatureValuesResponse_EntityView_Data
type ReadFeatureValuesResponse_EntityView_Data struct {
// Types that are assignable to Data:
// *ReadFeatureValuesResponse_EntityView_Data_Value
// *ReadFeatureValuesResponse_EntityView_Data_Values
Data isReadFeatureValuesResponse_EntityView_Data_Data `protobuf_oneof:"data"`
// contains filtered or unexported fields
}
Container to hold value(s), successive in time, for one Feature from the request.
func (*ReadFeatureValuesResponse_EntityView_Data) Descriptor
func (*ReadFeatureValuesResponse_EntityView_Data) Descriptor() ([]byte, []int)
Deprecated: Use ReadFeatureValuesResponse_EntityView_Data.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesResponse_EntityView_Data) GetData
func (m *ReadFeatureValuesResponse_EntityView_Data) GetData() isReadFeatureValuesResponse_EntityView_Data_Data
func (*ReadFeatureValuesResponse_EntityView_Data) GetValue
func (x *ReadFeatureValuesResponse_EntityView_Data) GetValue() *FeatureValue
func (*ReadFeatureValuesResponse_EntityView_Data) GetValues
func (x *ReadFeatureValuesResponse_EntityView_Data) GetValues() *FeatureValueList
func (*ReadFeatureValuesResponse_EntityView_Data) ProtoMessage
func (*ReadFeatureValuesResponse_EntityView_Data) ProtoMessage()
func (*ReadFeatureValuesResponse_EntityView_Data) ProtoReflect
func (x *ReadFeatureValuesResponse_EntityView_Data) ProtoReflect() protoreflect.Message
func (*ReadFeatureValuesResponse_EntityView_Data) Reset
func (x *ReadFeatureValuesResponse_EntityView_Data) Reset()
func (*ReadFeatureValuesResponse_EntityView_Data) String
func (x *ReadFeatureValuesResponse_EntityView_Data) String() string
ReadFeatureValuesResponse_EntityView_Data_Value
type ReadFeatureValuesResponse_EntityView_Data_Value struct {
// Feature value if a single value is requested.
Value *FeatureValue `protobuf:"bytes,1,opt,name=value,proto3,oneof"`
}
ReadFeatureValuesResponse_EntityView_Data_Values
type ReadFeatureValuesResponse_EntityView_Data_Values struct {
// Feature values list if values, successive in time, are requested.
// If the requested number of values is greater than the number of
// existing Feature values, nonexistent values are omitted instead of
// being returned as empty.
Values *FeatureValueList `protobuf:"bytes,2,opt,name=values,proto3,oneof"`
}
ReadFeatureValuesResponse_FeatureDescriptor
type ReadFeatureValuesResponse_FeatureDescriptor struct {
// Feature ID.
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
// contains filtered or unexported fields
}
Metadata for requested Features.
func (*ReadFeatureValuesResponse_FeatureDescriptor) Descriptor
func (*ReadFeatureValuesResponse_FeatureDescriptor) Descriptor() ([]byte, []int)
Deprecated: Use ReadFeatureValuesResponse_FeatureDescriptor.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesResponse_FeatureDescriptor) GetId
func (x *ReadFeatureValuesResponse_FeatureDescriptor) GetId() string
func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoMessage
func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoMessage()
func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoReflect
func (x *ReadFeatureValuesResponse_FeatureDescriptor) ProtoReflect() protoreflect.Message
func (*ReadFeatureValuesResponse_FeatureDescriptor) Reset
func (x *ReadFeatureValuesResponse_FeatureDescriptor) Reset()
func (*ReadFeatureValuesResponse_FeatureDescriptor) String
func (x *ReadFeatureValuesResponse_FeatureDescriptor) String() string
ReadFeatureValuesResponse_Header
type ReadFeatureValuesResponse_Header struct {
// The resource name of the EntityType from the
// [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
// Value format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// List of Feature metadata corresponding to each piece of
// [ReadFeatureValuesResponse.data][].
FeatureDescriptors []*ReadFeatureValuesResponse_FeatureDescriptor `protobuf:"bytes,2,rep,name=feature_descriptors,json=featureDescriptors,proto3" json:"feature_descriptors,omitempty"`
// contains filtered or unexported fields
}
Response header with metadata for the requested [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type] and Features.
func (*ReadFeatureValuesResponse_Header) Descriptor
func (*ReadFeatureValuesResponse_Header) Descriptor() ([]byte, []int)
Deprecated: Use ReadFeatureValuesResponse_Header.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesResponse_Header) GetEntityType
func (x *ReadFeatureValuesResponse_Header) GetEntityType() string
func (*ReadFeatureValuesResponse_Header) GetFeatureDescriptors
func (x *ReadFeatureValuesResponse_Header) GetFeatureDescriptors() []*ReadFeatureValuesResponse_FeatureDescriptor
func (*ReadFeatureValuesResponse_Header) ProtoMessage
func (*ReadFeatureValuesResponse_Header) ProtoMessage()
func (*ReadFeatureValuesResponse_Header) ProtoReflect
func (x *ReadFeatureValuesResponse_Header) ProtoReflect() protoreflect.Message
func (*ReadFeatureValuesResponse_Header) Reset
func (x *ReadFeatureValuesResponse_Header) Reset()
func (*ReadFeatureValuesResponse_Header) String
func (x *ReadFeatureValuesResponse_Header) String() string
ReadTensorboardBlobDataRequest
type ReadTensorboardBlobDataRequest struct {
// Required. The resource name of the TensorboardTimeSeries to list Blobs.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
TimeSeries string `protobuf:"bytes,1,opt,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
// IDs of the blobs to read.
BlobIds []string `protobuf:"bytes,2,rep,name=blob_ids,json=blobIds,proto3" json:"blob_ids,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
func (*ReadTensorboardBlobDataRequest) Descriptor
func (*ReadTensorboardBlobDataRequest) Descriptor() ([]byte, []int)
Deprecated: Use ReadTensorboardBlobDataRequest.ProtoReflect.Descriptor instead.
func (*ReadTensorboardBlobDataRequest) GetBlobIds
func (x *ReadTensorboardBlobDataRequest) GetBlobIds() []string
func (*ReadTensorboardBlobDataRequest) GetTimeSeries
func (x *ReadTensorboardBlobDataRequest) GetTimeSeries() string
func (*ReadTensorboardBlobDataRequest) ProtoMessage
func (*ReadTensorboardBlobDataRequest) ProtoMessage()
func (*ReadTensorboardBlobDataRequest) ProtoReflect
func (x *ReadTensorboardBlobDataRequest) ProtoReflect() protoreflect.Message
func (*ReadTensorboardBlobDataRequest) Reset
func (x *ReadTensorboardBlobDataRequest) Reset()
func (*ReadTensorboardBlobDataRequest) String
func (x *ReadTensorboardBlobDataRequest) String() string
ReadTensorboardBlobDataResponse
type ReadTensorboardBlobDataResponse struct {
// Blob messages containing blob bytes.
Blobs []*TensorboardBlob `protobuf:"bytes,1,rep,name=blobs,proto3" json:"blobs,omitempty"`
// contains filtered or unexported fields
}
Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
func (*ReadTensorboardBlobDataResponse) Descriptor
func (*ReadTensorboardBlobDataResponse) Descriptor() ([]byte, []int)
Deprecated: Use ReadTensorboardBlobDataResponse.ProtoReflect.Descriptor instead.
func (*ReadTensorboardBlobDataResponse) GetBlobs
func (x *ReadTensorboardBlobDataResponse) GetBlobs() []*TensorboardBlob
func (*ReadTensorboardBlobDataResponse) ProtoMessage
func (*ReadTensorboardBlobDataResponse) ProtoMessage()
func (*ReadTensorboardBlobDataResponse) ProtoReflect
func (x *ReadTensorboardBlobDataResponse) ProtoReflect() protoreflect.Message
func (*ReadTensorboardBlobDataResponse) Reset
func (x *ReadTensorboardBlobDataResponse) Reset()
func (*ReadTensorboardBlobDataResponse) String
func (x *ReadTensorboardBlobDataResponse) String() string
ReadTensorboardTimeSeriesDataRequest
type ReadTensorboardTimeSeriesDataRequest struct {
// Required. The resource name of the TensorboardTimeSeries to read data from.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
TensorboardTimeSeries string `protobuf:"bytes,1,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
// The maximum number of TensorboardTimeSeries' data to return.
//
// This value should be a positive integer.
// This value can be set to -1 to return all data.
MaxDataPoints int32 `protobuf:"varint,2,opt,name=max_data_points,json=maxDataPoints,proto3" json:"max_data_points,omitempty"`
// Reads the TensorboardTimeSeries' data that match the filter expression.
Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
func (*ReadTensorboardTimeSeriesDataRequest) Descriptor
func (*ReadTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)
Deprecated: Use ReadTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.
func (*ReadTensorboardTimeSeriesDataRequest) GetFilter
func (x *ReadTensorboardTimeSeriesDataRequest) GetFilter() string
func (*ReadTensorboardTimeSeriesDataRequest) GetMaxDataPoints
func (x *ReadTensorboardTimeSeriesDataRequest) GetMaxDataPoints() int32
func (*ReadTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries
func (x *ReadTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string
func (*ReadTensorboardTimeSeriesDataRequest) ProtoMessage
func (*ReadTensorboardTimeSeriesDataRequest) ProtoMessage()
func (*ReadTensorboardTimeSeriesDataRequest) ProtoReflect
func (x *ReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message
func (*ReadTensorboardTimeSeriesDataRequest) Reset
func (x *ReadTensorboardTimeSeriesDataRequest) Reset()
func (*ReadTensorboardTimeSeriesDataRequest) String
func (x *ReadTensorboardTimeSeriesDataRequest) String() string
ReadTensorboardTimeSeriesDataResponse
type ReadTensorboardTimeSeriesDataResponse struct {
// The returned time series data.
TimeSeriesData *TimeSeriesData `protobuf:"bytes,1,opt,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
// contains filtered or unexported fields
}
Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
func (*ReadTensorboardTimeSeriesDataResponse) Descriptor
func (*ReadTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)
Deprecated: Use ReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.
func (*ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData
func (x *ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() *TimeSeriesData
func (*ReadTensorboardTimeSeriesDataResponse) ProtoMessage
func (*ReadTensorboardTimeSeriesDataResponse) ProtoMessage()
func (*ReadTensorboardTimeSeriesDataResponse) ProtoReflect
func (x *ReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message
func (*ReadTensorboardTimeSeriesDataResponse) Reset
func (x *ReadTensorboardTimeSeriesDataResponse) Reset()
func (*ReadTensorboardTimeSeriesDataResponse) String
func (x *ReadTensorboardTimeSeriesDataResponse) String() string
ReadTensorboardUsageRequest
type ReadTensorboardUsageRequest struct {
// Required. The name of the Tensorboard resource.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.GetTensorboardUsage][].
func (*ReadTensorboardUsageRequest) Descriptor
func (*ReadTensorboardUsageRequest) Descriptor() ([]byte, []int)
Deprecated: Use ReadTensorboardUsageRequest.ProtoReflect.Descriptor instead.
func (*ReadTensorboardUsageRequest) GetTensorboard
func (x *ReadTensorboardUsageRequest) GetTensorboard() string
func (*ReadTensorboardUsageRequest) ProtoMessage
func (*ReadTensorboardUsageRequest) ProtoMessage()
func (*ReadTensorboardUsageRequest) ProtoReflect
func (x *ReadTensorboardUsageRequest) ProtoReflect() protoreflect.Message
func (*ReadTensorboardUsageRequest) Reset
func (x *ReadTensorboardUsageRequest) Reset()
func (*ReadTensorboardUsageRequest) String
func (x *ReadTensorboardUsageRequest) String() string
ReadTensorboardUsageResponse
type ReadTensorboardUsageResponse struct {
MonthlyUsageData map[string]*ReadTensorboardUsageResponse_PerMonthUsageData "" /* 199 byte string literal not displayed */
}
Response message for [TensorboardService.GetTensorboardUsage][].
func (*ReadTensorboardUsageResponse) Descriptor
func (*ReadTensorboardUsageResponse) Descriptor() ([]byte, []int)
Deprecated: Use ReadTensorboardUsageResponse.ProtoReflect.Descriptor instead.
func (*ReadTensorboardUsageResponse) GetMonthlyUsageData
func (x *ReadTensorboardUsageResponse) GetMonthlyUsageData() map[string]*ReadTensorboardUsageResponse_PerMonthUsageData
func (*ReadTensorboardUsageResponse) ProtoMessage
func (*ReadTensorboardUsageResponse) ProtoMessage()
func (*ReadTensorboardUsageResponse) ProtoReflect
func (x *ReadTensorboardUsageResponse) ProtoReflect() protoreflect.Message
func (*ReadTensorboardUsageResponse) Reset
func (x *ReadTensorboardUsageResponse) Reset()
func (*ReadTensorboardUsageResponse) String
func (x *ReadTensorboardUsageResponse) String() string
ReadTensorboardUsageResponse_PerMonthUsageData
type ReadTensorboardUsageResponse_PerMonthUsageData struct {
// Usage data for each user in the given month.
UserUsageData []*ReadTensorboardUsageResponse_PerUserUsageData `protobuf:"bytes,1,rep,name=user_usage_data,json=userUsageData,proto3" json:"user_usage_data,omitempty"`
// contains filtered or unexported fields
}
Per month usage data
func (*ReadTensorboardUsageResponse_PerMonthUsageData) Descriptor
func (*ReadTensorboardUsageResponse_PerMonthUsageData) Descriptor() ([]byte, []int)
Deprecated: Use ReadTensorboardUsageResponse_PerMonthUsageData.ProtoReflect.Descriptor instead.
func (*ReadTensorboardUsageResponse_PerMonthUsageData) GetUserUsageData
func (x *ReadTensorboardUsageResponse_PerMonthUsageData) GetUserUsageData() []*ReadTensorboardUsageResponse_PerUserUsageData
func (*ReadTensorboardUsageResponse_PerMonthUsageData) ProtoMessage
func (*ReadTensorboardUsageResponse_PerMonthUsageData) ProtoMessage()
func (*ReadTensorboardUsageResponse_PerMonthUsageData) ProtoReflect
func (x *ReadTensorboardUsageResponse_PerMonthUsageData) ProtoReflect() protoreflect.Message
func (*ReadTensorboardUsageResponse_PerMonthUsageData) Reset
func (x *ReadTensorboardUsageResponse_PerMonthUsageData) Reset()
func (*ReadTensorboardUsageResponse_PerMonthUsageData) String
func (x *ReadTensorboardUsageResponse_PerMonthUsageData) String() string
ReadTensorboardUsageResponse_PerUserUsageData
type ReadTensorboardUsageResponse_PerUserUsageData struct {
// User's username
Username string `protobuf:"bytes,1,opt,name=username,proto3" json:"username,omitempty"`
// Number of times the user has read data within the Tensorboard.
ViewCount int64 `protobuf:"varint,2,opt,name=view_count,json=viewCount,proto3" json:"view_count,omitempty"`
// contains filtered or unexported fields
}
Per user usage data.
func (*ReadTensorboardUsageResponse_PerUserUsageData) Descriptor
func (*ReadTensorboardUsageResponse_PerUserUsageData) Descriptor() ([]byte, []int)
Deprecated: Use ReadTensorboardUsageResponse_PerUserUsageData.ProtoReflect.Descriptor instead.
func (*ReadTensorboardUsageResponse_PerUserUsageData) GetUsername
func (x *ReadTensorboardUsageResponse_PerUserUsageData) GetUsername() string
func (*ReadTensorboardUsageResponse_PerUserUsageData) GetViewCount
func (x *ReadTensorboardUsageResponse_PerUserUsageData) GetViewCount() int64
func (*ReadTensorboardUsageResponse_PerUserUsageData) ProtoMessage
func (*ReadTensorboardUsageResponse_PerUserUsageData) ProtoMessage()
func (*ReadTensorboardUsageResponse_PerUserUsageData) ProtoReflect
func (x *ReadTensorboardUsageResponse_PerUserUsageData) ProtoReflect() protoreflect.Message
func (*ReadTensorboardUsageResponse_PerUserUsageData) Reset
func (x *ReadTensorboardUsageResponse_PerUserUsageData) Reset()
func (*ReadTensorboardUsageResponse_PerUserUsageData) String
func (x *ReadTensorboardUsageResponse_PerUserUsageData) String() string
RemoveContextChildrenRequest
type RemoveContextChildrenRequest struct {
// Required. The resource name of the parent Context.
//
// Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
// The resource names of the child Contexts.
ChildContexts []string `protobuf:"bytes,2,rep,name=child_contexts,json=childContexts,proto3" json:"child_contexts,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.DeleteContextChildrenRequest][].
func (*RemoveContextChildrenRequest) Descriptor
func (*RemoveContextChildrenRequest) Descriptor() ([]byte, []int)
Deprecated: Use RemoveContextChildrenRequest.ProtoReflect.Descriptor instead.
func (*RemoveContextChildrenRequest) GetChildContexts
func (x *RemoveContextChildrenRequest) GetChildContexts() []string
func (*RemoveContextChildrenRequest) GetContext
func (x *RemoveContextChildrenRequest) GetContext() string
func (*RemoveContextChildrenRequest) ProtoMessage
func (*RemoveContextChildrenRequest) ProtoMessage()
func (*RemoveContextChildrenRequest) ProtoReflect
func (x *RemoveContextChildrenRequest) ProtoReflect() protoreflect.Message
func (*RemoveContextChildrenRequest) Reset
func (x *RemoveContextChildrenRequest) Reset()
func (*RemoveContextChildrenRequest) String
func (x *RemoveContextChildrenRequest) String() string
RemoveContextChildrenResponse
type RemoveContextChildrenResponse struct {
// contains filtered or unexported fields
}
Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
func (*RemoveContextChildrenResponse) Descriptor
func (*RemoveContextChildrenResponse) Descriptor() ([]byte, []int)
Deprecated: Use RemoveContextChildrenResponse.ProtoReflect.Descriptor instead.
func (*RemoveContextChildrenResponse) ProtoMessage
func (*RemoveContextChildrenResponse) ProtoMessage()
func (*RemoveContextChildrenResponse) ProtoReflect
func (x *RemoveContextChildrenResponse) ProtoReflect() protoreflect.Message
func (*RemoveContextChildrenResponse) Reset
func (x *RemoveContextChildrenResponse) Reset()
func (*RemoveContextChildrenResponse) String
func (x *RemoveContextChildrenResponse) String() string
RemoveDatapointsRequest
type RemoveDatapointsRequest struct {
// Required. The name of the Index resource to be updated.
// Format:
// `projects/{project}/locations/{location}/indexes/{index}`
Index string `protobuf:"bytes,1,opt,name=index,proto3" json:"index,omitempty"`
// A list of datapoint ids to be deleted.
DatapointIds []string `protobuf:"bytes,2,rep,name=datapoint_ids,json=datapointIds,proto3" json:"datapoint_ids,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
func (*RemoveDatapointsRequest) Descriptor
func (*RemoveDatapointsRequest) Descriptor() ([]byte, []int)
Deprecated: Use RemoveDatapointsRequest.ProtoReflect.Descriptor instead.
func (*RemoveDatapointsRequest) GetDatapointIds
func (x *RemoveDatapointsRequest) GetDatapointIds() []string
func (*RemoveDatapointsRequest) GetIndex
func (x *RemoveDatapointsRequest) GetIndex() string
func (*RemoveDatapointsRequest) ProtoMessage
func (*RemoveDatapointsRequest) ProtoMessage()
func (*RemoveDatapointsRequest) ProtoReflect
func (x *RemoveDatapointsRequest) ProtoReflect() protoreflect.Message
func (*RemoveDatapointsRequest) Reset
func (x *RemoveDatapointsRequest) Reset()
func (*RemoveDatapointsRequest) String
func (x *RemoveDatapointsRequest) String() string
RemoveDatapointsResponse
type RemoveDatapointsResponse struct {
// contains filtered or unexported fields
}
Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
func (*RemoveDatapointsResponse) Descriptor
func (*RemoveDatapointsResponse) Descriptor() ([]byte, []int)
Deprecated: Use RemoveDatapointsResponse.ProtoReflect.Descriptor instead.
func (*RemoveDatapointsResponse) ProtoMessage
func (*RemoveDatapointsResponse) ProtoMessage()
func (*RemoveDatapointsResponse) ProtoReflect
func (x *RemoveDatapointsResponse) ProtoReflect() protoreflect.Message
func (*RemoveDatapointsResponse) Reset
func (x *RemoveDatapointsResponse) Reset()
func (*RemoveDatapointsResponse) String
func (x *RemoveDatapointsResponse) String() string
ResourcesConsumed
type ResourcesConsumed struct {
// Output only. The number of replica hours used. Note that many replicas may
// run in parallel, and additionally any given work may be queued for some
// time. Therefore this value is not strictly related to wall time.
ReplicaHours float64 `protobuf:"fixed64,1,opt,name=replica_hours,json=replicaHours,proto3" json:"replica_hours,omitempty"`
// contains filtered or unexported fields
}
Statistics information about resource consumption.
func (*ResourcesConsumed) Descriptor
func (*ResourcesConsumed) Descriptor() ([]byte, []int)
Deprecated: Use ResourcesConsumed.ProtoReflect.Descriptor instead.
func (*ResourcesConsumed) GetReplicaHours
func (x *ResourcesConsumed) GetReplicaHours() float64
func (*ResourcesConsumed) ProtoMessage
func (*ResourcesConsumed) ProtoMessage()
func (*ResourcesConsumed) ProtoReflect
func (x *ResourcesConsumed) ProtoReflect() protoreflect.Message
func (*ResourcesConsumed) Reset
func (x *ResourcesConsumed) Reset()
func (*ResourcesConsumed) String
func (x *ResourcesConsumed) String() string
ResumeModelDeploymentMonitoringJobRequest
type ResumeModelDeploymentMonitoringJobRequest struct {
// Required. The resource name of the ModelDeploymentMonitoringJob to resume.
// Format:
// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob].
func (*ResumeModelDeploymentMonitoringJobRequest) Descriptor
func (*ResumeModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use ResumeModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*ResumeModelDeploymentMonitoringJobRequest) GetName
func (x *ResumeModelDeploymentMonitoringJobRequest) GetName() string
func (*ResumeModelDeploymentMonitoringJobRequest) ProtoMessage
func (*ResumeModelDeploymentMonitoringJobRequest) ProtoMessage()
func (*ResumeModelDeploymentMonitoringJobRequest) ProtoReflect
func (x *ResumeModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message
func (*ResumeModelDeploymentMonitoringJobRequest) Reset
func (x *ResumeModelDeploymentMonitoringJobRequest) Reset()
func (*ResumeModelDeploymentMonitoringJobRequest) String
func (x *ResumeModelDeploymentMonitoringJobRequest) String() string
SampleConfig
type SampleConfig struct {
InitialBatchSampleSize isSampleConfig_InitialBatchSampleSize `protobuf_oneof:"initial_batch_sample_size"`
FollowingBatchSampleSize isSampleConfig_FollowingBatchSampleSize `protobuf_oneof:"following_batch_sample_size"`
SampleStrategy SampleConfig_SampleStrategy "" /* 164 byte string literal not displayed */
}
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
func (*SampleConfig) Descriptor
func (*SampleConfig) Descriptor() ([]byte, []int)
Deprecated: Use SampleConfig.ProtoReflect.Descriptor instead.
func (*SampleConfig) GetFollowingBatchSamplePercentage
func (x *SampleConfig) GetFollowingBatchSamplePercentage() int32
func (*SampleConfig) GetFollowingBatchSampleSize
func (m *SampleConfig) GetFollowingBatchSampleSize() isSampleConfig_FollowingBatchSampleSize
func (*SampleConfig) GetInitialBatchSamplePercentage
func (x *SampleConfig) GetInitialBatchSamplePercentage() int32
func (*SampleConfig) GetInitialBatchSampleSize
func (m *SampleConfig) GetInitialBatchSampleSize() isSampleConfig_InitialBatchSampleSize
func (*SampleConfig) GetSampleStrategy
func (x *SampleConfig) GetSampleStrategy() SampleConfig_SampleStrategy
func (*SampleConfig) ProtoMessage
func (*SampleConfig) ProtoMessage()
func (*SampleConfig) ProtoReflect
func (x *SampleConfig) ProtoReflect() protoreflect.Message
func (*SampleConfig) Reset
func (x *SampleConfig) Reset()
func (*SampleConfig) String
func (x *SampleConfig) String() string
SampleConfig_FollowingBatchSamplePercentage
type SampleConfig_FollowingBatchSamplePercentage struct {
// The percentage of data needed to be labeled in each following batch
// (except the first batch).
FollowingBatchSamplePercentage int32 `protobuf:"varint,3,opt,name=following_batch_sample_percentage,json=followingBatchSamplePercentage,proto3,oneof"`
}
SampleConfig_InitialBatchSamplePercentage
type SampleConfig_InitialBatchSamplePercentage struct {
// The percentage of data needed to be labeled in the first batch.
InitialBatchSamplePercentage int32 `protobuf:"varint,1,opt,name=initial_batch_sample_percentage,json=initialBatchSamplePercentage,proto3,oneof"`
}
SampleConfig_SampleStrategy
type SampleConfig_SampleStrategy int32
Sample strategy decides which subset of DataItems should be selected for human labeling in every batch.
SampleConfig_SAMPLE_STRATEGY_UNSPECIFIED, SampleConfig_UNCERTAINTY
const (
// Default will be treated as UNCERTAINTY.
SampleConfig_SAMPLE_STRATEGY_UNSPECIFIED SampleConfig_SampleStrategy = 0
// Sample the most uncertain data to label.
SampleConfig_UNCERTAINTY SampleConfig_SampleStrategy = 1
)
func (SampleConfig_SampleStrategy) Descriptor
func (SampleConfig_SampleStrategy) Descriptor() protoreflect.EnumDescriptor
func (SampleConfig_SampleStrategy) Enum
func (x SampleConfig_SampleStrategy) Enum() *SampleConfig_SampleStrategy
func (SampleConfig_SampleStrategy) EnumDescriptor
func (SampleConfig_SampleStrategy) EnumDescriptor() ([]byte, []int)
Deprecated: Use SampleConfig_SampleStrategy.Descriptor instead.
func (SampleConfig_SampleStrategy) Number
func (x SampleConfig_SampleStrategy) Number() protoreflect.EnumNumber
func (SampleConfig_SampleStrategy) String
func (x SampleConfig_SampleStrategy) String() string
func (SampleConfig_SampleStrategy) Type
func (SampleConfig_SampleStrategy) Type() protoreflect.EnumType
SampledShapleyAttribution
type SampledShapleyAttribution struct {
// Required. The number of feature permutations to consider when approximating
// the Shapley values.
//
// Valid range of its value is [1, 50], inclusively.
PathCount int32 `protobuf:"varint,1,opt,name=path_count,json=pathCount,proto3" json:"path_count,omitempty"`
// contains filtered or unexported fields
}
An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features.
func (*SampledShapleyAttribution) Descriptor
func (*SampledShapleyAttribution) Descriptor() ([]byte, []int)
Deprecated: Use SampledShapleyAttribution.ProtoReflect.Descriptor instead.
func (*SampledShapleyAttribution) GetPathCount
func (x *SampledShapleyAttribution) GetPathCount() int32
func (*SampledShapleyAttribution) ProtoMessage
func (*SampledShapleyAttribution) ProtoMessage()
func (*SampledShapleyAttribution) ProtoReflect
func (x *SampledShapleyAttribution) ProtoReflect() protoreflect.Message
func (*SampledShapleyAttribution) Reset
func (x *SampledShapleyAttribution) Reset()
func (*SampledShapleyAttribution) String
func (x *SampledShapleyAttribution) String() string
SamplingStrategy
type SamplingStrategy struct {
// Random sample config. Will support more sampling strategies later.
RandomSampleConfig *SamplingStrategy_RandomSampleConfig `protobuf:"bytes,1,opt,name=random_sample_config,json=randomSampleConfig,proto3" json:"random_sample_config,omitempty"`
// contains filtered or unexported fields
}
Sampling Strategy for logging, can be for both training and prediction dataset.
func (*SamplingStrategy) Descriptor
func (*SamplingStrategy) Descriptor() ([]byte, []int)
Deprecated: Use SamplingStrategy.ProtoReflect.Descriptor instead.
func (*SamplingStrategy) GetRandomSampleConfig
func (x *SamplingStrategy) GetRandomSampleConfig() *SamplingStrategy_RandomSampleConfig
func (*SamplingStrategy) ProtoMessage
func (*SamplingStrategy) ProtoMessage()
func (*SamplingStrategy) ProtoReflect
func (x *SamplingStrategy) ProtoReflect() protoreflect.Message
func (*SamplingStrategy) Reset
func (x *SamplingStrategy) Reset()
func (*SamplingStrategy) String
func (x *SamplingStrategy) String() string
SamplingStrategy_RandomSampleConfig
type SamplingStrategy_RandomSampleConfig struct {
// Sample rate (0, 1]
SampleRate float64 `protobuf:"fixed64,1,opt,name=sample_rate,json=sampleRate,proto3" json:"sample_rate,omitempty"`
// contains filtered or unexported fields
}
Requests are randomly selected.
func (*SamplingStrategy_RandomSampleConfig) Descriptor
func (*SamplingStrategy_RandomSampleConfig) Descriptor() ([]byte, []int)
Deprecated: Use SamplingStrategy_RandomSampleConfig.ProtoReflect.Descriptor instead.
func (*SamplingStrategy_RandomSampleConfig) GetSampleRate
func (x *SamplingStrategy_RandomSampleConfig) GetSampleRate() float64
func (*SamplingStrategy_RandomSampleConfig) ProtoMessage
func (*SamplingStrategy_RandomSampleConfig) ProtoMessage()
func (*SamplingStrategy_RandomSampleConfig) ProtoReflect
func (x *SamplingStrategy_RandomSampleConfig) ProtoReflect() protoreflect.Message
func (*SamplingStrategy_RandomSampleConfig) Reset
func (x *SamplingStrategy_RandomSampleConfig) Reset()
func (*SamplingStrategy_RandomSampleConfig) String
func (x *SamplingStrategy_RandomSampleConfig) String() string
SavedQuery
type SavedQuery struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Metadata *structpb.Value `protobuf:"bytes,12,opt,name=metadata,proto3" json:"metadata,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
AnnotationFilter string `protobuf:"bytes,5,opt,name=annotation_filter,json=annotationFilter,proto3" json:"annotation_filter,omitempty"`
ProblemType string `protobuf:"bytes,6,opt,name=problem_type,json=problemType,proto3" json:"problem_type,omitempty"`
AnnotationSpecCount int32 `protobuf:"varint,10,opt,name=annotation_spec_count,json=annotationSpecCount,proto3" json:"annotation_spec_count,omitempty"`
Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
SupportAutomlTraining bool "" /* 127 byte string literal not displayed */
}
A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
func (*SavedQuery) Descriptor
func (*SavedQuery) Descriptor() ([]byte, []int)
Deprecated: Use SavedQuery.ProtoReflect.Descriptor instead.
func (*SavedQuery) GetAnnotationFilter
func (x *SavedQuery) GetAnnotationFilter() string
func (*SavedQuery) GetAnnotationSpecCount
func (x *SavedQuery) GetAnnotationSpecCount() int32
func (*SavedQuery) GetCreateTime
func (x *SavedQuery) GetCreateTime() *timestamppb.Timestamp
func (*SavedQuery) GetDisplayName
func (x *SavedQuery) GetDisplayName() string
func (*SavedQuery) GetEtag
func (x *SavedQuery) GetEtag() string
func (*SavedQuery) GetMetadata
func (x *SavedQuery) GetMetadata() *structpb.Value
func (*SavedQuery) GetName
func (x *SavedQuery) GetName() string
func (*SavedQuery) GetProblemType
func (x *SavedQuery) GetProblemType() string
func (*SavedQuery) GetSupportAutomlTraining
func (x *SavedQuery) GetSupportAutomlTraining() bool
func (*SavedQuery) GetUpdateTime
func (x *SavedQuery) GetUpdateTime() *timestamppb.Timestamp
func (*SavedQuery) ProtoMessage
func (*SavedQuery) ProtoMessage()
func (*SavedQuery) ProtoReflect
func (x *SavedQuery) ProtoReflect() protoreflect.Message
func (*SavedQuery) Reset
func (x *SavedQuery) Reset()
func (*SavedQuery) String
func (x *SavedQuery) String() string
Scalar
type Scalar struct {
// Value of the point at this step / timestamp.
Value float64 `protobuf:"fixed64,1,opt,name=value,proto3" json:"value,omitempty"`
// contains filtered or unexported fields
}
One point viewable on a scalar metric plot.
func (*Scalar) Descriptor
Deprecated: Use Scalar.ProtoReflect.Descriptor instead.
func (*Scalar) GetValue
func (*Scalar) ProtoMessage
func (*Scalar) ProtoMessage()
func (*Scalar) ProtoReflect
func (x *Scalar) ProtoReflect() protoreflect.Message
func (*Scalar) Reset
func (x *Scalar) Reset()
func (*Scalar) String
Scheduling
type Scheduling struct {
Timeout *durationpb.Duration `protobuf:"bytes,1,opt,name=timeout,proto3" json:"timeout,omitempty"`
RestartJobOnWorkerRestart bool "" /* 143 byte string literal not displayed */
}
All parameters related to queuing and scheduling of custom jobs.
func (*Scheduling) Descriptor
func (*Scheduling) Descriptor() ([]byte, []int)
Deprecated: Use Scheduling.ProtoReflect.Descriptor instead.
func (*Scheduling) GetRestartJobOnWorkerRestart
func (x *Scheduling) GetRestartJobOnWorkerRestart() bool
func (*Scheduling) GetTimeout
func (x *Scheduling) GetTimeout() *durationpb.Duration
func (*Scheduling) ProtoMessage
func (*Scheduling) ProtoMessage()
func (*Scheduling) ProtoReflect
func (x *Scheduling) ProtoReflect() protoreflect.Message
func (*Scheduling) Reset
func (x *Scheduling) Reset()
func (*Scheduling) String
func (x *Scheduling) String() string
SearchDataItemsRequest
type SearchDataItemsRequest struct {
// Types that are assignable to Order:
// *SearchDataItemsRequest_OrderByDataItem
// *SearchDataItemsRequest_OrderByAnnotation_
Order isSearchDataItemsRequest_Order `protobuf_oneof:"order"`
// Required. The resource name of the Dataset from which to search DataItems.
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}`
Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
// The resource name of a SavedQuery(annotation set in UI).
// Format:
// `projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}`
// All of the search will be done in the context of this SavedQuery.
//
// Deprecated: Do not use.
SavedQuery string `protobuf:"bytes,2,opt,name=saved_query,json=savedQuery,proto3" json:"saved_query,omitempty"`
// The resource name of a DataLabelingJob.
// Format:
// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
// If this field is set, all of the search will be done in the context of
// this DataLabelingJob.
DataLabelingJob string `protobuf:"bytes,3,opt,name=data_labeling_job,json=dataLabelingJob,proto3" json:"data_labeling_job,omitempty"`
// An expression for filtering the DataItem that will be returned.
//
// * `data_item_id` - for = or !=.
// * `labeled` - for = or !=.
// * `has_annotation(ANNOTATION_SPEC_ID)` - true only for DataItem that
// have at least one annotation with annotation_spec_id =
// `ANNOTATION_SPEC_ID` in the context of SavedQuery or DataLabelingJob.
//
// For example:
//
// * `data_item=1`
// * `has_annotation(5)`
DataItemFilter string `protobuf:"bytes,4,opt,name=data_item_filter,json=dataItemFilter,proto3" json:"data_item_filter,omitempty"`
// An expression for filtering the Annotations that will be returned per
// DataItem.
// * `annotation_spec_id` - for = or !=.
//
// Deprecated: Do not use.
AnnotationsFilter string `protobuf:"bytes,5,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
// An expression that specifies what Annotations will be returned per
// DataItem. Annotations satisfied either of the conditions will be returned.
// * `annotation_spec_id` - for = or !=.
// Must specify `saved_query_id=` - saved query id that annotations should
// belong to.
AnnotationFilters []string `protobuf:"bytes,11,rep,name=annotation_filters,json=annotationFilters,proto3" json:"annotation_filters,omitempty"`
// Mask specifying which fields of
// [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
FieldMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=field_mask,json=fieldMask,proto3" json:"field_mask,omitempty"`
// If set, only up to this many of Annotations will be returned per
// DataItemView. The maximum value is 1000. If not set, the maximum value will
// be used.
AnnotationsLimit int32 `protobuf:"varint,7,opt,name=annotations_limit,json=annotationsLimit,proto3" json:"annotations_limit,omitempty"`
// Requested page size. Server may return fewer results than requested.
// Default and maximum page size is 100.
PageSize int32 `protobuf:"varint,8,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A comma-separated list of fields to order by, sorted in ascending order.
// Use "desc" after a field name for descending.
//
// Deprecated: Do not use.
OrderBy string `protobuf:"bytes,9,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// A token identifying a page of results for the server to return
// Typically obtained via
// [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
// of the previous
// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
// call.
PageToken string `protobuf:"bytes,10,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
func (*SearchDataItemsRequest) Descriptor
func (*SearchDataItemsRequest) Descriptor() ([]byte, []int)
Deprecated: Use SearchDataItemsRequest.ProtoReflect.Descriptor instead.
func (*SearchDataItemsRequest) GetAnnotationFilters
func (x *SearchDataItemsRequest) GetAnnotationFilters() []string
func (*SearchDataItemsRequest) GetAnnotationsFilter
func (x *SearchDataItemsRequest) GetAnnotationsFilter() string
Deprecated: Do not use.
func (*SearchDataItemsRequest) GetAnnotationsLimit
func (x *SearchDataItemsRequest) GetAnnotationsLimit() int32
func (*SearchDataItemsRequest) GetDataItemFilter
func (x *SearchDataItemsRequest) GetDataItemFilter() string
func (*SearchDataItemsRequest) GetDataLabelingJob
func (x *SearchDataItemsRequest) GetDataLabelingJob() string
func (*SearchDataItemsRequest) GetDataset
func (x *SearchDataItemsRequest) GetDataset() string
func (*SearchDataItemsRequest) GetFieldMask
func (x *SearchDataItemsRequest) GetFieldMask() *fieldmaskpb.FieldMask
func (*SearchDataItemsRequest) GetOrder
func (m *SearchDataItemsRequest) GetOrder() isSearchDataItemsRequest_Order
func (*SearchDataItemsRequest) GetOrderBy
func (x *SearchDataItemsRequest) GetOrderBy() string
Deprecated: Do not use.
func (*SearchDataItemsRequest) GetOrderByAnnotation
func (x *SearchDataItemsRequest) GetOrderByAnnotation() *SearchDataItemsRequest_OrderByAnnotation
func (*SearchDataItemsRequest) GetOrderByDataItem
func (x *SearchDataItemsRequest) GetOrderByDataItem() string
func (*SearchDataItemsRequest) GetPageSize
func (x *SearchDataItemsRequest) GetPageSize() int32
func (*SearchDataItemsRequest) GetPageToken
func (x *SearchDataItemsRequest) GetPageToken() string
func (*SearchDataItemsRequest) GetSavedQuery
func (x *SearchDataItemsRequest) GetSavedQuery() string
Deprecated: Do not use.
func (*SearchDataItemsRequest) ProtoMessage
func (*SearchDataItemsRequest) ProtoMessage()
func (*SearchDataItemsRequest) ProtoReflect
func (x *SearchDataItemsRequest) ProtoReflect() protoreflect.Message
func (*SearchDataItemsRequest) Reset
func (x *SearchDataItemsRequest) Reset()
func (*SearchDataItemsRequest) String
func (x *SearchDataItemsRequest) String() string
SearchDataItemsRequest_OrderByAnnotation
type SearchDataItemsRequest_OrderByAnnotation struct {
// Required. Saved query of the Annotation. Only Annotations belong to this
// saved query will be considered for ordering.
SavedQuery string `protobuf:"bytes,1,opt,name=saved_query,json=savedQuery,proto3" json:"saved_query,omitempty"`
// A comma-separated list of annotation fields to order by, sorted in
// ascending order. Use "desc" after a field name for descending. Must also
// specify saved_query.
OrderBy string `protobuf:"bytes,2,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
// contains filtered or unexported fields
}
Expression that allows ranking results based on annotation's property.
func (*SearchDataItemsRequest_OrderByAnnotation) Descriptor
func (*SearchDataItemsRequest_OrderByAnnotation) Descriptor() ([]byte, []int)
Deprecated: Use SearchDataItemsRequest_OrderByAnnotation.ProtoReflect.Descriptor instead.
func (*SearchDataItemsRequest_OrderByAnnotation) GetOrderBy
func (x *SearchDataItemsRequest_OrderByAnnotation) GetOrderBy() string
func (*SearchDataItemsRequest_OrderByAnnotation) GetSavedQuery
func (x *SearchDataItemsRequest_OrderByAnnotation) GetSavedQuery() string
func (*SearchDataItemsRequest_OrderByAnnotation) ProtoMessage
func (*SearchDataItemsRequest_OrderByAnnotation) ProtoMessage()
func (*SearchDataItemsRequest_OrderByAnnotation) ProtoReflect
func (x *SearchDataItemsRequest_OrderByAnnotation) ProtoReflect() protoreflect.Message
func (*SearchDataItemsRequest_OrderByAnnotation) Reset
func (x *SearchDataItemsRequest_OrderByAnnotation) Reset()
func (*SearchDataItemsRequest_OrderByAnnotation) String
func (x *SearchDataItemsRequest_OrderByAnnotation) String() string
SearchDataItemsRequest_OrderByAnnotation_
type SearchDataItemsRequest_OrderByAnnotation_ struct {
// Expression that allows ranking results based on annotation's property.
OrderByAnnotation *SearchDataItemsRequest_OrderByAnnotation `protobuf:"bytes,13,opt,name=order_by_annotation,json=orderByAnnotation,proto3,oneof"`
}
SearchDataItemsRequest_OrderByDataItem
type SearchDataItemsRequest_OrderByDataItem struct {
// A comma-separated list of data item fields to order by, sorted in
// ascending order. Use "desc" after a field name for descending.
OrderByDataItem string `protobuf:"bytes,12,opt,name=order_by_data_item,json=orderByDataItem,proto3,oneof"`
}
SearchDataItemsResponse
type SearchDataItemsResponse struct {
// The DataItemViews read.
DataItemViews []*DataItemView `protobuf:"bytes,1,rep,name=data_item_views,json=dataItemViews,proto3" json:"data_item_views,omitempty"`
// A token to retrieve next page of results.
// Pass to
// [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
// to obtain that page.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
func (*SearchDataItemsResponse) Descriptor
func (*SearchDataItemsResponse) Descriptor() ([]byte, []int)
Deprecated: Use SearchDataItemsResponse.ProtoReflect.Descriptor instead.
func (*SearchDataItemsResponse) GetDataItemViews
func (x *SearchDataItemsResponse) GetDataItemViews() []*DataItemView
func (*SearchDataItemsResponse) GetNextPageToken
func (x *SearchDataItemsResponse) GetNextPageToken() string
func (*SearchDataItemsResponse) ProtoMessage
func (*SearchDataItemsResponse) ProtoMessage()
func (*SearchDataItemsResponse) ProtoReflect
func (x *SearchDataItemsResponse) ProtoReflect() protoreflect.Message
func (*SearchDataItemsResponse) Reset
func (x *SearchDataItemsResponse) Reset()
func (*SearchDataItemsResponse) String
func (x *SearchDataItemsResponse) String() string
SearchFeaturesRequest
type SearchFeaturesRequest struct {
// Required. The resource name of the Location to search Features.
// Format:
// `projects/{project}/locations/{location}`
Location string `protobuf:"bytes,1,opt,name=location,proto3" json:"location,omitempty"`
// Query string that is a conjunction of field-restricted queries and/or
// field-restricted filters. Field-restricted queries and filters can be
// combined using `AND` to form a conjunction.
//
// A field query is in the form FIELD:QUERY. This implicitly checks if QUERY
// exists as a substring within Feature's FIELD. The QUERY
// and the FIELD are converted to a sequence of words (i.e. tokens) for
// comparison. This is done by:
//
// * Removing leading/trailing whitespace and tokenizing the search value.
// Characters that are not one of alphanumeric `[a-zA-Z0-9]`, underscore
// `_`, or asterisk `*` are treated as delimiters for tokens. `*` is treated
// as a wildcard that matches characters within a token.
// * Ignoring case.
// * Prepending an asterisk to the first and appending an asterisk to the
// last token in QUERY.
//
// A QUERY must be either a singular token or a phrase. A phrase is one or
// multiple words enclosed in double quotation marks ("). With phrases, the
// order of the words is important. Words in the phrase must be matching in
// order and consecutively.
//
// Supported FIELDs for field-restricted queries:
//
// * `feature_id`
// * `description`
// * `entity_type_id`
//
// Examples:
//
// * `feature_id: foo` --> Matches a Feature with ID containing the substring
// `foo` (eg. `foo`, `foofeature`, `barfoo`).
// * `feature_id: foo*feature` --> Matches a Feature with ID containing the
// substring `foo*feature` (eg. `foobarfeature`).
// * `feature_id: foo AND description: bar` --> Matches a Feature with ID
// containing the substring `foo` and description containing the substring
// `bar`.
//
//
// Besides field queries, the following exact-match filters are
// supported. The exact-match filters do not support wildcards. Unlike
// field-restricted queries, exact-match filters are case-sensitive.
//
// * `feature_id`: Supports = comparisons.
// * `description`: Supports = comparisons. Multi-token filters should be
// enclosed in quotes.
// * `entity_type_id`: Supports = comparisons.
// * `value_type`: Supports = and != comparisons.
// * `labels`: Supports key-value equality as well as key presence.
// * `featurestore_id`: Supports = comparisons.
//
// Examples:
// * `description = "foo bar"` --> Any Feature with description exactly equal
// to `foo bar`
// * `value_type = DOUBLE` --> Features whose type is DOUBLE.
// * `labels.active = yes AND labels.env = prod` --> Features having both
// (active: yes) and (env: prod) labels.
// * `labels.env: *` --> Any Feature which has a label with `env` as the
// key.
Query string `protobuf:"bytes,3,opt,name=query,proto3" json:"query,omitempty"`
// The maximum number of Features to return. The service may return fewer
// than this value. If unspecified, at most 100 Features will be returned.
// The maximum value is 100; any value greater than 100 will be coerced to
// 100.
PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous
// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]
// call. Provide this to retrieve the subsequent page.
//
// When paginating, all other parameters provided to
// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures],
// except `page_size`, must match the call that provided the page token.
PageToken string `protobuf:"bytes,5,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
func (*SearchFeaturesRequest) Descriptor
func (*SearchFeaturesRequest) Descriptor() ([]byte, []int)
Deprecated: Use SearchFeaturesRequest.ProtoReflect.Descriptor instead.
func (*SearchFeaturesRequest) GetLocation
func (x *SearchFeaturesRequest) GetLocation() string
func (*SearchFeaturesRequest) GetPageSize
func (x *SearchFeaturesRequest) GetPageSize() int32
func (*SearchFeaturesRequest) GetPageToken
func (x *SearchFeaturesRequest) GetPageToken() string
func (*SearchFeaturesRequest) GetQuery
func (x *SearchFeaturesRequest) GetQuery() string
func (*SearchFeaturesRequest) ProtoMessage
func (*SearchFeaturesRequest) ProtoMessage()
func (*SearchFeaturesRequest) ProtoReflect
func (x *SearchFeaturesRequest) ProtoReflect() protoreflect.Message
func (*SearchFeaturesRequest) Reset
func (x *SearchFeaturesRequest) Reset()
func (*SearchFeaturesRequest) String
func (x *SearchFeaturesRequest) String() string
SearchFeaturesResponse
type SearchFeaturesResponse struct {
// The Features matching the request.
//
// Fields returned:
//
// * `name`
// * `description`
// * `labels`
// * `create_time`
// * `update_time`
Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
// A token, which can be sent as
// [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1.SearchFeaturesRequest.page_token]
// to retrieve the next page. If this field is omitted, there are no
// subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
func (*SearchFeaturesResponse) Descriptor
func (*SearchFeaturesResponse) Descriptor() ([]byte, []int)
Deprecated: Use SearchFeaturesResponse.ProtoReflect.Descriptor instead.
func (*SearchFeaturesResponse) GetFeatures
func (x *SearchFeaturesResponse) GetFeatures() []*Feature
func (*SearchFeaturesResponse) GetNextPageToken
func (x *SearchFeaturesResponse) GetNextPageToken() string
func (*SearchFeaturesResponse) ProtoMessage
func (*SearchFeaturesResponse) ProtoMessage()
func (*SearchFeaturesResponse) ProtoReflect
func (x *SearchFeaturesResponse) ProtoReflect() protoreflect.Message
func (*SearchFeaturesResponse) Reset
func (x *SearchFeaturesResponse) Reset()
func (*SearchFeaturesResponse) String
func (x *SearchFeaturesResponse) String() string
SearchMigratableResourcesRequest
type SearchMigratableResourcesRequest struct {
// Required. The location that the migratable resources should be searched
// from. It's the Vertex AI location that the resources can be migrated to,
// not the resources' original location. Format:
// `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// The standard page size.
// The default and maximum value is 100.
PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// The standard page token.
PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
// A filter for your search. You can use the following types of filters:
//
// * Resource type filters. The following strings filter for a specific type
// of [MigratableResource][google.cloud.aiplatform.v1.MigratableResource]:
// * `ml_engine_model_version:*`
// * `automl_model:*`
// * `automl_dataset:*`
// * `data_labeling_dataset:*`
// * "Migrated or not" filters. The following strings filter for resources
// that either have or have not already been migrated:
// * `last_migrate_time:*` filters for migrated resources.
// * `NOT last_migrate_time:*` filters for not yet migrated resources.
Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
// contains filtered or unexported fields
}
Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
func (*SearchMigratableResourcesRequest) Descriptor
func (*SearchMigratableResourcesRequest) Descriptor() ([]byte, []int)
Deprecated: Use SearchMigratableResourcesRequest.ProtoReflect.Descriptor instead.
func (*SearchMigratableResourcesRequest) GetFilter
func (x *SearchMigratableResourcesRequest) GetFilter() string
func (*SearchMigratableResourcesRequest) GetPageSize
func (x *SearchMigratableResourcesRequest) GetPageSize() int32
func (*SearchMigratableResourcesRequest) GetPageToken
func (x *SearchMigratableResourcesRequest) GetPageToken() string
func (*SearchMigratableResourcesRequest) GetParent
func (x *SearchMigratableResourcesRequest) GetParent() string
func (*SearchMigratableResourcesRequest) ProtoMessage
func (*SearchMigratableResourcesRequest) ProtoMessage()
func (*SearchMigratableResourcesRequest) ProtoReflect
func (x *SearchMigratableResourcesRequest) ProtoReflect() protoreflect.Message
func (*SearchMigratableResourcesRequest) Reset
func (x *SearchMigratableResourcesRequest) Reset()
func (*SearchMigratableResourcesRequest) String
func (x *SearchMigratableResourcesRequest) String() string
SearchMigratableResourcesResponse
type SearchMigratableResourcesResponse struct {
// All migratable resources that can be migrated to the
// location specified in the request.
MigratableResources []*MigratableResource `protobuf:"bytes,1,rep,name=migratable_resources,json=migratableResources,proto3" json:"migratable_resources,omitempty"`
// The standard next-page token.
// The migratable_resources may not fill page_size in
// SearchMigratableResourcesRequest even when there are subsequent pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
func (*SearchMigratableResourcesResponse) Descriptor
func (*SearchMigratableResourcesResponse) Descriptor() ([]byte, []int)
Deprecated: Use SearchMigratableResourcesResponse.ProtoReflect.Descriptor instead.
func (*SearchMigratableResourcesResponse) GetMigratableResources
func (x *SearchMigratableResourcesResponse) GetMigratableResources() []*MigratableResource
func (*SearchMigratableResourcesResponse) GetNextPageToken
func (x *SearchMigratableResourcesResponse) GetNextPageToken() string
func (*SearchMigratableResourcesResponse) ProtoMessage
func (*SearchMigratableResourcesResponse) ProtoMessage()
func (*SearchMigratableResourcesResponse) ProtoReflect
func (x *SearchMigratableResourcesResponse) ProtoReflect() protoreflect.Message
func (*SearchMigratableResourcesResponse) Reset
func (x *SearchMigratableResourcesResponse) Reset()
func (*SearchMigratableResourcesResponse) String
func (x *SearchMigratableResourcesResponse) String() string
SearchModelDeploymentMonitoringStatsAnomaliesRequest
type SearchModelDeploymentMonitoringStatsAnomaliesRequest struct {
ModelDeploymentMonitoringJob string "" /* 149 byte string literal not displayed */
DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
FeatureDisplayName string `protobuf:"bytes,3,opt,name=feature_display_name,json=featureDisplayName,proto3" json:"feature_display_name,omitempty"`
Objectives []*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective `protobuf:"bytes,4,rep,name=objectives,proto3" json:"objectives,omitempty"`
PageSize int32 `protobuf:"varint,5,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
}
Request message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Descriptor
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Descriptor() ([]byte, []int)
Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesRequest.ProtoReflect.Descriptor instead.
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetDeployedModelId
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetDeployedModelId() string
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetEndTime
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetEndTime() *timestamppb.Timestamp
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetFeatureDisplayName
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetFeatureDisplayName() string
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetModelDeploymentMonitoringJob
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetModelDeploymentMonitoringJob() string
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetObjectives
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetObjectives() []*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageSize
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageSize() int32
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageToken
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageToken() string
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetStartTime
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetStartTime() *timestamppb.Timestamp
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoMessage
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoMessage()
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoReflect
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoReflect() protoreflect.Message
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Reset
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) Reset()
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) String
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) String() string
SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective
type SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective struct {
Type ModelDeploymentMonitoringObjectiveType "" /* 133 byte string literal not displayed */
TopFeatureCount int32 `protobuf:"varint,4,opt,name=top_feature_count,json=topFeatureCount,proto3" json:"top_feature_count,omitempty"`
}
Stats requested for specific objective.
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Descriptor
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Descriptor() ([]byte, []int)
Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective.ProtoReflect.Descriptor instead.
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetTopFeatureCount
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetTopFeatureCount() int32
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetType
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetType() ModelDeploymentMonitoringObjectiveType
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoMessage
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoMessage()
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoReflect
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoReflect() protoreflect.Message
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Reset
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) String
func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) String() string
SearchModelDeploymentMonitoringStatsAnomaliesResponse
type SearchModelDeploymentMonitoringStatsAnomaliesResponse struct {
// Stats retrieved for requested objectives.
// There are at most 1000
// [ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats][google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats]
// in the response.
MonitoringStats []*ModelMonitoringStatsAnomalies `protobuf:"bytes,1,rep,name=monitoring_stats,json=monitoringStats,proto3" json:"monitoring_stats,omitempty"`
// The page token that can be used by the next
// [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]
// call.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
// contains filtered or unexported fields
}
Response message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Descriptor
func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Descriptor() ([]byte, []int)
Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesResponse.ProtoReflect.Descriptor instead.
func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetMonitoringStats
func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetMonitoringStats() []*ModelMonitoringStatsAnomalies
func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetNextPageToken
func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetNextPageToken() string
func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoMessage
func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoMessage()
func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoReflect
func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoReflect() protoreflect.Message
func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Reset
func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) Reset()
func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) String
func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) String() string
SmoothGradConfig
type SmoothGradConfig struct {
// Represents the standard deviation of the gaussian kernel
// that will be used to add noise to the interpolated inputs
// prior to computing gradients.
//
// Types that are assignable to GradientNoiseSigma:
// *SmoothGradConfig_NoiseSigma
// *SmoothGradConfig_FeatureNoiseSigma
GradientNoiseSigma isSmoothGradConfig_GradientNoiseSigma `protobuf_oneof:"GradientNoiseSigma"`
// The number of gradient samples to use for
// approximation. The higher this number, the more accurate the gradient
// is, but the runtime complexity increases by this factor as well.
// Valid range of its value is [1, 50]. Defaults to 3.
NoisySampleCount int32 `protobuf:"varint,3,opt,name=noisy_sample_count,json=noisySampleCount,proto3" json:"noisy_sample_count,omitempty"`
// contains filtered or unexported fields
}
Config for SmoothGrad approximation of gradients.
When enabled, the gradients are approximated by averaging the gradients from noisy samples in the vicinity of the inputs. Adding noise can help improve the computed gradients. Refer to this paper for more details: https://arxiv.org/pdf/1706.03825.pdf
func (*SmoothGradConfig) Descriptor
func (*SmoothGradConfig) Descriptor() ([]byte, []int)
Deprecated: Use SmoothGradConfig.ProtoReflect.Descriptor instead.
func (*SmoothGradConfig) GetFeatureNoiseSigma
func (x *SmoothGradConfig) GetFeatureNoiseSigma() *FeatureNoiseSigma
func (*SmoothGradConfig) GetGradientNoiseSigma
func (m *SmoothGradConfig) GetGradientNoiseSigma() isSmoothGradConfig_GradientNoiseSigma
func (*SmoothGradConfig) GetNoiseSigma
func (x *SmoothGradConfig) GetNoiseSigma() float32
func (*SmoothGradConfig) GetNoisySampleCount
func (x *SmoothGradConfig) GetNoisySampleCount() int32
func (*SmoothGradConfig) ProtoMessage
func (*SmoothGradConfig) ProtoMessage()
func (*SmoothGradConfig) ProtoReflect
func (x *SmoothGradConfig) ProtoReflect() protoreflect.Message
func (*SmoothGradConfig) Reset
func (x *SmoothGradConfig) Reset()
func (*SmoothGradConfig) String
func (x *SmoothGradConfig) String() string
SmoothGradConfig_FeatureNoiseSigma
type SmoothGradConfig_FeatureNoiseSigma struct {
// This is similar to
// [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
// but provides additional flexibility. A separate noise sigma can be
// provided for each feature, which is useful if their distributions are
// different. No noise is added to features that are not set. If this field
// is unset,
// [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
// will be used for all features.
FeatureNoiseSigma *FeatureNoiseSigma `protobuf:"bytes,2,opt,name=feature_noise_sigma,json=featureNoiseSigma,proto3,oneof"`
}
SmoothGradConfig_NoiseSigma
type SmoothGradConfig_NoiseSigma struct {
// This is a single float value and will be used to add noise to all the
// features. Use this field when all features are normalized to have the
// same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
// features are normalized to have 0-mean and 1-variance. Learn more about
// [normalization](https://developers.google.com/machine-learning/data-prep/transform/normalization).
//
// For best results the recommended value is about 10% - 20% of the standard
// deviation of the input feature. Refer to section 3.2 of the SmoothGrad
// paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
//
// If the distribution is different per feature, set
// [feature_noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma]
// instead for each feature.
NoiseSigma float32 `protobuf:"fixed32,1,opt,name=noise_sigma,json=noiseSigma,proto3,oneof"`
}
SpecialistPool
type SpecialistPool struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
SpecialistManagersCount int32 "" /* 133 byte string literal not displayed */
SpecialistManagerEmails []string "" /* 132 byte string literal not displayed */
PendingDataLabelingJobs []string "" /* 134 byte string literal not displayed */
SpecialistWorkerEmails []string "" /* 129 byte string literal not displayed */
}
SpecialistPool represents customers' own workforce to work on their data labeling jobs. It includes a group of specialist managers and workers. Managers are responsible for managing the workers in this pool as well as customers' data labeling jobs associated with this pool. Customers create specialist pool as well as start data labeling jobs on Cloud, managers and workers handle the jobs using CrowdCompute console.
func (*SpecialistPool) Descriptor
func (*SpecialistPool) Descriptor() ([]byte, []int)
Deprecated: Use SpecialistPool.ProtoReflect.Descriptor instead.
func (*SpecialistPool) GetDisplayName
func (x *SpecialistPool) GetDisplayName() string
func (*SpecialistPool) GetName
func (x *SpecialistPool) GetName() string
func (*SpecialistPool) GetPendingDataLabelingJobs
func (x *SpecialistPool) GetPendingDataLabelingJobs() []string
func (*SpecialistPool) GetSpecialistManagerEmails
func (x *SpecialistPool) GetSpecialistManagerEmails() []string
func (*SpecialistPool) GetSpecialistManagersCount
func (x *SpecialistPool) GetSpecialistManagersCount() int32
func (*SpecialistPool) GetSpecialistWorkerEmails
func (x *SpecialistPool) GetSpecialistWorkerEmails() []string
func (*SpecialistPool) ProtoMessage
func (*SpecialistPool) ProtoMessage()
func (*SpecialistPool) ProtoReflect
func (x *SpecialistPool) ProtoReflect() protoreflect.Message
func (*SpecialistPool) Reset
func (x *SpecialistPool) Reset()
func (*SpecialistPool) String
func (x *SpecialistPool) String() string
SpecialistPoolServiceClient
type SpecialistPoolServiceClient interface {
// Creates a SpecialistPool.
CreateSpecialistPool(ctx context.Context, in *CreateSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Gets a SpecialistPool.
GetSpecialistPool(ctx context.Context, in *GetSpecialistPoolRequest, opts ...grpc.CallOption) (*SpecialistPool, error)
// Lists SpecialistPools in a Location.
ListSpecialistPools(ctx context.Context, in *ListSpecialistPoolsRequest, opts ...grpc.CallOption) (*ListSpecialistPoolsResponse, error)
// Deletes a SpecialistPool as well as all Specialists in the pool.
DeleteSpecialistPool(ctx context.Context, in *DeleteSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Updates a SpecialistPool.
UpdateSpecialistPool(ctx context.Context, in *UpdateSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}
SpecialistPoolServiceClient is the client API for SpecialistPoolService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewSpecialistPoolServiceClient
func NewSpecialistPoolServiceClient(cc grpc.ClientConnInterface) SpecialistPoolServiceClient
SpecialistPoolServiceServer
type SpecialistPoolServiceServer interface {
// Creates a SpecialistPool.
CreateSpecialistPool(context.Context, *CreateSpecialistPoolRequest) (*longrunning.Operation, error)
// Gets a SpecialistPool.
GetSpecialistPool(context.Context, *GetSpecialistPoolRequest) (*SpecialistPool, error)
// Lists SpecialistPools in a Location.
ListSpecialistPools(context.Context, *ListSpecialistPoolsRequest) (*ListSpecialistPoolsResponse, error)
// Deletes a SpecialistPool as well as all Specialists in the pool.
DeleteSpecialistPool(context.Context, *DeleteSpecialistPoolRequest) (*longrunning.Operation, error)
// Updates a SpecialistPool.
UpdateSpecialistPool(context.Context, *UpdateSpecialistPoolRequest) (*longrunning.Operation, error)
}
SpecialistPoolServiceServer is the server API for SpecialistPoolService service.
StopTrialRequest
type StopTrialRequest struct {
// Required. The Trial's name.
// Format:
// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
func (*StopTrialRequest) Descriptor
func (*StopTrialRequest) Descriptor() ([]byte, []int)
Deprecated: Use StopTrialRequest.ProtoReflect.Descriptor instead.
func (*StopTrialRequest) GetName
func (x *StopTrialRequest) GetName() string
func (*StopTrialRequest) ProtoMessage
func (*StopTrialRequest) ProtoMessage()
func (*StopTrialRequest) ProtoReflect
func (x *StopTrialRequest) ProtoReflect() protoreflect.Message
func (*StopTrialRequest) Reset
func (x *StopTrialRequest) Reset()
func (*StopTrialRequest) String
func (x *StopTrialRequest) String() string
StratifiedSplit
type StratifiedSplit struct {
// The fraction of the input data that is to be used to train the Model.
TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
// The fraction of the input data that is to be used to validate the Model.
ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
// The fraction of the input data that is to be used to evaluate the Model.
TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
// Required. The key is a name of one of the Dataset's data columns.
// The key provided must be for a categorical column.
Key string `protobuf:"bytes,4,opt,name=key,proto3" json:"key,omitempty"`
// contains filtered or unexported fields
}
Assigns input data to the training, validation, and test sets so that the
distribution of values found in the categorical column (as specified by the
key
field) is mirrored within each split. The fraction values determine
the relative sizes of the splits.
For example, if the specified column has three values, with 50% of the rows having value "A", 25% value "B", and 25% value "C", and the split fractions are specified as 80/10/10, then the training set will constitute 80% of the training data, with about 50% of the training set rows having the value "A" for the specified column, about 25% having the value "B", and about 25% having the value "C".
Only the top 500 occurring values are used; any values not in the top 500 values are randomly assigned to a split. If less than three rows contain a specific value, those rows are randomly assigned.
Supported only for tabular Datasets.
func (*StratifiedSplit) Descriptor
func (*StratifiedSplit) Descriptor() ([]byte, []int)
Deprecated: Use StratifiedSplit.ProtoReflect.Descriptor instead.
func (*StratifiedSplit) GetKey
func (x *StratifiedSplit) GetKey() string
func (*StratifiedSplit) GetTestFraction
func (x *StratifiedSplit) GetTestFraction() float64
func (*StratifiedSplit) GetTrainingFraction
func (x *StratifiedSplit) GetTrainingFraction() float64
func (*StratifiedSplit) GetValidationFraction
func (x *StratifiedSplit) GetValidationFraction() float64
func (*StratifiedSplit) ProtoMessage
func (*StratifiedSplit) ProtoMessage()
func (*StratifiedSplit) ProtoReflect
func (x *StratifiedSplit) ProtoReflect() protoreflect.Message
func (*StratifiedSplit) Reset
func (x *StratifiedSplit) Reset()
func (*StratifiedSplit) String
func (x *StratifiedSplit) String() string
StreamingReadFeatureValuesRequest
type StreamingReadFeatureValuesRequest struct {
// Required. The resource name of the entities' type.
// Value format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
// For example,
// for a machine learning model predicting user clicks on a website, an
// EntityType ID could be `user`.
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Required. IDs of entities to read Feature values of. The maximum number of
// IDs is 100. For example, for a machine learning model predicting user
// clicks on a website, an entity ID could be `user_123`.
EntityIds []string `protobuf:"bytes,2,rep,name=entity_ids,json=entityIds,proto3" json:"entity_ids,omitempty"`
// Required. Selector choosing Features of the target EntityType. Feature IDs
// will be deduplicated.
FeatureSelector *FeatureSelector `protobuf:"bytes,3,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].
func (*StreamingReadFeatureValuesRequest) Descriptor
func (*StreamingReadFeatureValuesRequest) Descriptor() ([]byte, []int)
Deprecated: Use StreamingReadFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*StreamingReadFeatureValuesRequest) GetEntityIds
func (x *StreamingReadFeatureValuesRequest) GetEntityIds() []string
func (*StreamingReadFeatureValuesRequest) GetEntityType
func (x *StreamingReadFeatureValuesRequest) GetEntityType() string
func (*StreamingReadFeatureValuesRequest) GetFeatureSelector
func (x *StreamingReadFeatureValuesRequest) GetFeatureSelector() *FeatureSelector
func (*StreamingReadFeatureValuesRequest) ProtoMessage
func (*StreamingReadFeatureValuesRequest) ProtoMessage()
func (*StreamingReadFeatureValuesRequest) ProtoReflect
func (x *StreamingReadFeatureValuesRequest) ProtoReflect() protoreflect.Message
func (*StreamingReadFeatureValuesRequest) Reset
func (x *StreamingReadFeatureValuesRequest) Reset()
func (*StreamingReadFeatureValuesRequest) String
func (x *StreamingReadFeatureValuesRequest) String() string
StringArray
type StringArray struct {
// A list of string values.
Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
// contains filtered or unexported fields
}
A list of string values.
func (*StringArray) Descriptor
func (*StringArray) Descriptor() ([]byte, []int)
Deprecated: Use StringArray.ProtoReflect.Descriptor instead.
func (*StringArray) GetValues
func (x *StringArray) GetValues() []string
func (*StringArray) ProtoMessage
func (*StringArray) ProtoMessage()
func (*StringArray) ProtoReflect
func (x *StringArray) ProtoReflect() protoreflect.Message
func (*StringArray) Reset
func (x *StringArray) Reset()
func (*StringArray) String
func (x *StringArray) String() string
Study
type Study struct {
// Output only. The name of a study. The study's globally unique identifier.
// Format: `projects/{project}/locations/{location}/studies/{study}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. Describes the Study, default value is empty string.
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// Required. Configuration of the Study.
StudySpec *StudySpec `protobuf:"bytes,3,opt,name=study_spec,json=studySpec,proto3" json:"study_spec,omitempty"`
// Output only. The detailed state of a Study.
State Study_State `protobuf:"varint,4,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Study_State" json:"state,omitempty"`
// Output only. Time at which the study was created.
CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
// Output only. A human readable reason why the Study is inactive.
// This should be empty if a study is ACTIVE or COMPLETED.
InactiveReason string `protobuf:"bytes,6,opt,name=inactive_reason,json=inactiveReason,proto3" json:"inactive_reason,omitempty"`
// contains filtered or unexported fields
}
A message representing a Study.
func (*Study) Descriptor
Deprecated: Use Study.ProtoReflect.Descriptor instead.
func (*Study) GetCreateTime
func (x *Study) GetCreateTime() *timestamppb.Timestamp
func (*Study) GetDisplayName
func (*Study) GetInactiveReason
func (*Study) GetName
func (*Study) GetState
func (x *Study) GetState() Study_State
func (*Study) GetStudySpec
func (*Study) ProtoMessage
func (*Study) ProtoMessage()
func (*Study) ProtoReflect
func (x *Study) ProtoReflect() protoreflect.Message
func (*Study) Reset
func (x *Study) Reset()
func (*Study) String
StudySpec
type StudySpec struct {
AutomatedStoppingSpec isStudySpec_AutomatedStoppingSpec `protobuf_oneof:"automated_stopping_spec"`
Metrics []*StudySpec_MetricSpec `protobuf:"bytes,1,rep,name=metrics,proto3" json:"metrics,omitempty"`
Parameters []*StudySpec_ParameterSpec `protobuf:"bytes,2,rep,name=parameters,proto3" json:"parameters,omitempty"`
Algorithm StudySpec_Algorithm `protobuf:"varint,3,opt,name=algorithm,proto3,enum=google.cloud.aiplatform.v1.StudySpec_Algorithm" json:"algorithm,omitempty"`
ObservationNoise StudySpec_ObservationNoise "" /* 169 byte string literal not displayed */
MeasurementSelectionType StudySpec_MeasurementSelectionType "" /* 203 byte string literal not displayed */
}
Represents specification of a Study.
func (*StudySpec) Descriptor
Deprecated: Use StudySpec.ProtoReflect.Descriptor instead.
func (*StudySpec) GetAlgorithm
func (x *StudySpec) GetAlgorithm() StudySpec_Algorithm
func (*StudySpec) GetAutomatedStoppingSpec
func (m *StudySpec) GetAutomatedStoppingSpec() isStudySpec_AutomatedStoppingSpec
func (*StudySpec) GetConvexAutomatedStoppingSpec
func (x *StudySpec) GetConvexAutomatedStoppingSpec() *StudySpec_ConvexAutomatedStoppingSpec
func (*StudySpec) GetDecayCurveStoppingSpec
func (x *StudySpec) GetDecayCurveStoppingSpec() *StudySpec_DecayCurveAutomatedStoppingSpec
func (*StudySpec) GetMeasurementSelectionType
func (x *StudySpec) GetMeasurementSelectionType() StudySpec_MeasurementSelectionType
func (*StudySpec) GetMedianAutomatedStoppingSpec
func (x *StudySpec) GetMedianAutomatedStoppingSpec() *StudySpec_MedianAutomatedStoppingSpec
func (*StudySpec) GetMetrics
func (x *StudySpec) GetMetrics() []*StudySpec_MetricSpec
func (*StudySpec) GetObservationNoise
func (x *StudySpec) GetObservationNoise() StudySpec_ObservationNoise
func (*StudySpec) GetParameters
func (x *StudySpec) GetParameters() []*StudySpec_ParameterSpec
func (*StudySpec) ProtoMessage
func (*StudySpec) ProtoMessage()
func (*StudySpec) ProtoReflect
func (x *StudySpec) ProtoReflect() protoreflect.Message
func (*StudySpec) Reset
func (x *StudySpec) Reset()
func (*StudySpec) String
StudySpec_Algorithm
type StudySpec_Algorithm int32
The available search algorithms for the Study.
StudySpec_ALGORITHM_UNSPECIFIED, StudySpec_GRID_SEARCH, StudySpec_RANDOM_SEARCH
const (
// The default algorithm used by Vertex AI for [hyperparameter
// tuning](https://cloud.google.com/vertex-ai/docs/training/hyperparameter-tuning-overview)
// and [Vertex AI Vizier](https://cloud.google.com/vertex-ai/docs/vizier).
StudySpec_ALGORITHM_UNSPECIFIED StudySpec_Algorithm = 0
// Simple grid search within the feasible space. To use grid search,
// all parameters must be `INTEGER`, `CATEGORICAL`, or `DISCRETE`.
StudySpec_GRID_SEARCH StudySpec_Algorithm = 2
// Simple random search within the feasible space.
StudySpec_RANDOM_SEARCH StudySpec_Algorithm = 3
)
func (StudySpec_Algorithm) Descriptor
func (StudySpec_Algorithm) Descriptor() protoreflect.EnumDescriptor
func (StudySpec_Algorithm) Enum
func (x StudySpec_Algorithm) Enum() *StudySpec_Algorithm
func (StudySpec_Algorithm) EnumDescriptor
func (StudySpec_Algorithm) EnumDescriptor() ([]byte, []int)
Deprecated: Use StudySpec_Algorithm.Descriptor instead.
func (StudySpec_Algorithm) Number
func (x StudySpec_Algorithm) Number() protoreflect.EnumNumber
func (StudySpec_Algorithm) String
func (x StudySpec_Algorithm) String() string
func (StudySpec_Algorithm) Type
func (StudySpec_Algorithm) Type() protoreflect.EnumType
StudySpec_ConvexAutomatedStoppingSpec
type StudySpec_ConvexAutomatedStoppingSpec struct {
MaxStepCount int64 `protobuf:"varint,1,opt,name=max_step_count,json=maxStepCount,proto3" json:"max_step_count,omitempty"`
MinStepCount int64 `protobuf:"varint,2,opt,name=min_step_count,json=minStepCount,proto3" json:"min_step_count,omitempty"`
MinMeasurementCount int64 `protobuf:"varint,3,opt,name=min_measurement_count,json=minMeasurementCount,proto3" json:"min_measurement_count,omitempty"`
LearningRateParameterName string "" /* 140 byte string literal not displayed */
UseElapsedDuration bool `protobuf:"varint,5,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`
UpdateAllStoppedTrials *bool "" /* 138 byte string literal not displayed */
}
Configuration for ConvexAutomatedStoppingSpec. When there are enough completed trials (configured by min_measurement_count), for pending trials with enough measurements and steps, the policy first computes an overestimate of the objective value at max_num_steps according to the slope of the incomplete objective value curve. No prediction can be made if the curve is completely flat. If the overestimation is worse than the best objective value of the completed trials, this pending trial will be early-stopped, but a last measurement will be added to the pending trial with max_num_steps and predicted objective value from the autoregression model.
func (*StudySpec_ConvexAutomatedStoppingSpec) Descriptor
func (*StudySpec_ConvexAutomatedStoppingSpec) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_ConvexAutomatedStoppingSpec.ProtoReflect.Descriptor instead.
func (*StudySpec_ConvexAutomatedStoppingSpec) GetLearningRateParameterName
func (x *StudySpec_ConvexAutomatedStoppingSpec) GetLearningRateParameterName() string
func (*StudySpec_ConvexAutomatedStoppingSpec) GetMaxStepCount
func (x *StudySpec_ConvexAutomatedStoppingSpec) GetMaxStepCount() int64
func (*StudySpec_ConvexAutomatedStoppingSpec) GetMinMeasurementCount
func (x *StudySpec_ConvexAutomatedStoppingSpec) GetMinMeasurementCount() int64
func (*StudySpec_ConvexAutomatedStoppingSpec) GetMinStepCount
func (x *StudySpec_ConvexAutomatedStoppingSpec) GetMinStepCount() int64
func (*StudySpec_ConvexAutomatedStoppingSpec) GetUpdateAllStoppedTrials
func (x *StudySpec_ConvexAutomatedStoppingSpec) GetUpdateAllStoppedTrials() bool
func (*StudySpec_ConvexAutomatedStoppingSpec) GetUseElapsedDuration
func (x *StudySpec_ConvexAutomatedStoppingSpec) GetUseElapsedDuration() bool
func (*StudySpec_ConvexAutomatedStoppingSpec) ProtoMessage
func (*StudySpec_ConvexAutomatedStoppingSpec) ProtoMessage()
func (*StudySpec_ConvexAutomatedStoppingSpec) ProtoReflect
func (x *StudySpec_ConvexAutomatedStoppingSpec) ProtoReflect() protoreflect.Message
func (*StudySpec_ConvexAutomatedStoppingSpec) Reset
func (x *StudySpec_ConvexAutomatedStoppingSpec) Reset()
func (*StudySpec_ConvexAutomatedStoppingSpec) String
func (x *StudySpec_ConvexAutomatedStoppingSpec) String() string
StudySpec_ConvexAutomatedStoppingSpec_
type StudySpec_ConvexAutomatedStoppingSpec_ struct {
// The automated early stopping spec using convex stopping rule.
ConvexAutomatedStoppingSpec *StudySpec_ConvexAutomatedStoppingSpec `protobuf:"bytes,9,opt,name=convex_automated_stopping_spec,json=convexAutomatedStoppingSpec,proto3,oneof"`
}
StudySpec_DecayCurveAutomatedStoppingSpec
type StudySpec_DecayCurveAutomatedStoppingSpec struct {
// True if
// [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration]
// is used as the x-axis of each Trials Decay Curve. Otherwise,
// [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count]
// will be used as the x-axis.
UseElapsedDuration bool `protobuf:"varint,1,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`
// contains filtered or unexported fields
}
The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial. Early stopping is requested for the current Trial if there is very low probability to exceed the optimal value found so far.
func (*StudySpec_DecayCurveAutomatedStoppingSpec) Descriptor
func (*StudySpec_DecayCurveAutomatedStoppingSpec) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_DecayCurveAutomatedStoppingSpec.ProtoReflect.Descriptor instead.
func (*StudySpec_DecayCurveAutomatedStoppingSpec) GetUseElapsedDuration
func (x *StudySpec_DecayCurveAutomatedStoppingSpec) GetUseElapsedDuration() bool
func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoMessage
func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoMessage()
func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoReflect
func (x *StudySpec_DecayCurveAutomatedStoppingSpec) ProtoReflect() protoreflect.Message
func (*StudySpec_DecayCurveAutomatedStoppingSpec) Reset
func (x *StudySpec_DecayCurveAutomatedStoppingSpec) Reset()
func (*StudySpec_DecayCurveAutomatedStoppingSpec) String
func (x *StudySpec_DecayCurveAutomatedStoppingSpec) String() string
StudySpec_DecayCurveStoppingSpec
type StudySpec_DecayCurveStoppingSpec struct {
// The automated early stopping spec using decay curve rule.
DecayCurveStoppingSpec *StudySpec_DecayCurveAutomatedStoppingSpec `protobuf:"bytes,4,opt,name=decay_curve_stopping_spec,json=decayCurveStoppingSpec,proto3,oneof"`
}
StudySpec_MeasurementSelectionType
type StudySpec_MeasurementSelectionType int32
This indicates which measurement to use if/when the service automatically selects the final measurement from previously reported intermediate measurements. Choose this based on two considerations:
A) Do you expect your measurements to monotonically improve?
If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
situation where your system can "over-train" and you expect the
performance to get better for a while but then start declining,
choose BEST_MEASUREMENT.
B) Are your measurements significantly noisy and/or irreproducible?
If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
may be better to choose LAST_MEASUREMENT.
If both or neither of (A) and (B) apply, it doesn't matter which
selection type is chosen.
StudySpec_MEASUREMENT_SELECTION_TYPE_UNSPECIFIED, StudySpec_LAST_MEASUREMENT, StudySpec_BEST_MEASUREMENT
const (
// Will be treated as LAST_MEASUREMENT.
StudySpec_MEASUREMENT_SELECTION_TYPE_UNSPECIFIED StudySpec_MeasurementSelectionType = 0
// Use the last measurement reported.
StudySpec_LAST_MEASUREMENT StudySpec_MeasurementSelectionType = 1
// Use the best measurement reported.
StudySpec_BEST_MEASUREMENT StudySpec_MeasurementSelectionType = 2
)
func (StudySpec_MeasurementSelectionType) Descriptor
func (StudySpec_MeasurementSelectionType) Descriptor() protoreflect.EnumDescriptor
func (StudySpec_MeasurementSelectionType) Enum
func (x StudySpec_MeasurementSelectionType) Enum() *StudySpec_MeasurementSelectionType
func (StudySpec_MeasurementSelectionType) EnumDescriptor
func (StudySpec_MeasurementSelectionType) EnumDescriptor() ([]byte, []int)
Deprecated: Use StudySpec_MeasurementSelectionType.Descriptor instead.
func (StudySpec_MeasurementSelectionType) Number
func (x StudySpec_MeasurementSelectionType) Number() protoreflect.EnumNumber
func (StudySpec_MeasurementSelectionType) String
func (x StudySpec_MeasurementSelectionType) String() string
func (StudySpec_MeasurementSelectionType) Type
func (StudySpec_MeasurementSelectionType) Type() protoreflect.EnumType
StudySpec_MedianAutomatedStoppingSpec
type StudySpec_MedianAutomatedStoppingSpec struct {
// True if median automated stopping rule applies on
// [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration].
// It means that elapsed_duration field of latest measurement of current
// Trial is used to compute median objective value for each completed
// Trials.
UseElapsedDuration bool `protobuf:"varint,1,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`
// contains filtered or unexported fields
}
The median automated stopping rule stops a pending Trial if the Trial's best objective_value is strictly below the median 'performance' of all completed Trials reported up to the Trial's last measurement. Currently, 'performance' refers to the running average of the objective values reported by the Trial in each measurement.
func (*StudySpec_MedianAutomatedStoppingSpec) Descriptor
func (*StudySpec_MedianAutomatedStoppingSpec) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_MedianAutomatedStoppingSpec.ProtoReflect.Descriptor instead.
func (*StudySpec_MedianAutomatedStoppingSpec) GetUseElapsedDuration
func (x *StudySpec_MedianAutomatedStoppingSpec) GetUseElapsedDuration() bool
func (*StudySpec_MedianAutomatedStoppingSpec) ProtoMessage
func (*StudySpec_MedianAutomatedStoppingSpec) ProtoMessage()
func (*StudySpec_MedianAutomatedStoppingSpec) ProtoReflect
func (x *StudySpec_MedianAutomatedStoppingSpec) ProtoReflect() protoreflect.Message
func (*StudySpec_MedianAutomatedStoppingSpec) Reset
func (x *StudySpec_MedianAutomatedStoppingSpec) Reset()
func (*StudySpec_MedianAutomatedStoppingSpec) String
func (x *StudySpec_MedianAutomatedStoppingSpec) String() string
StudySpec_MedianAutomatedStoppingSpec_
type StudySpec_MedianAutomatedStoppingSpec_ struct {
// The automated early stopping spec using median rule.
MedianAutomatedStoppingSpec *StudySpec_MedianAutomatedStoppingSpec `protobuf:"bytes,5,opt,name=median_automated_stopping_spec,json=medianAutomatedStoppingSpec,proto3,oneof"`
}
StudySpec_MetricSpec
type StudySpec_MetricSpec struct {
// Required. The ID of the metric. Must not contain whitespaces and must be
// unique amongst all MetricSpecs.
MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`
// Required. The optimization goal of the metric.
Goal StudySpec_MetricSpec_GoalType `protobuf:"varint,2,opt,name=goal,proto3,enum=google.cloud.aiplatform.v1.StudySpec_MetricSpec_GoalType" json:"goal,omitempty"`
// Used for safe search. In the case, the metric will be a safety
// metric. You must provide a separate metric for objective metric.
SafetyConfig *StudySpec_MetricSpec_SafetyMetricConfig `protobuf:"bytes,3,opt,name=safety_config,json=safetyConfig,proto3,oneof" json:"safety_config,omitempty"`
// contains filtered or unexported fields
}
Represents a metric to optimize.
func (*StudySpec_MetricSpec) Descriptor
func (*StudySpec_MetricSpec) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_MetricSpec.ProtoReflect.Descriptor instead.
func (*StudySpec_MetricSpec) GetGoal
func (x *StudySpec_MetricSpec) GetGoal() StudySpec_MetricSpec_GoalType
func (*StudySpec_MetricSpec) GetMetricId
func (x *StudySpec_MetricSpec) GetMetricId() string
func (*StudySpec_MetricSpec) GetSafetyConfig
func (x *StudySpec_MetricSpec) GetSafetyConfig() *StudySpec_MetricSpec_SafetyMetricConfig
func (*StudySpec_MetricSpec) ProtoMessage
func (*StudySpec_MetricSpec) ProtoMessage()
func (*StudySpec_MetricSpec) ProtoReflect
func (x *StudySpec_MetricSpec) ProtoReflect() protoreflect.Message
func (*StudySpec_MetricSpec) Reset
func (x *StudySpec_MetricSpec) Reset()
func (*StudySpec_MetricSpec) String
func (x *StudySpec_MetricSpec) String() string
StudySpec_MetricSpec_GoalType
type StudySpec_MetricSpec_GoalType int32
The available types of optimization goals.
StudySpec_MetricSpec_GOAL_TYPE_UNSPECIFIED, StudySpec_MetricSpec_MAXIMIZE, StudySpec_MetricSpec_MINIMIZE
const (
// Goal Type will default to maximize.
StudySpec_MetricSpec_GOAL_TYPE_UNSPECIFIED StudySpec_MetricSpec_GoalType = 0
// Maximize the goal metric.
StudySpec_MetricSpec_MAXIMIZE StudySpec_MetricSpec_GoalType = 1
// Minimize the goal metric.
StudySpec_MetricSpec_MINIMIZE StudySpec_MetricSpec_GoalType = 2
)
func (StudySpec_MetricSpec_GoalType) Descriptor
func (StudySpec_MetricSpec_GoalType) Descriptor() protoreflect.EnumDescriptor
func (StudySpec_MetricSpec_GoalType) Enum
func (x StudySpec_MetricSpec_GoalType) Enum() *StudySpec_MetricSpec_GoalType
func (StudySpec_MetricSpec_GoalType) EnumDescriptor
func (StudySpec_MetricSpec_GoalType) EnumDescriptor() ([]byte, []int)
Deprecated: Use StudySpec_MetricSpec_GoalType.Descriptor instead.
func (StudySpec_MetricSpec_GoalType) Number
func (x StudySpec_MetricSpec_GoalType) Number() protoreflect.EnumNumber
func (StudySpec_MetricSpec_GoalType) String
func (x StudySpec_MetricSpec_GoalType) String() string
func (StudySpec_MetricSpec_GoalType) Type
func (StudySpec_MetricSpec_GoalType) Type() protoreflect.EnumType
StudySpec_MetricSpec_SafetyMetricConfig
type StudySpec_MetricSpec_SafetyMetricConfig struct {
SafetyThreshold float64 `protobuf:"fixed64,1,opt,name=safety_threshold,json=safetyThreshold,proto3" json:"safety_threshold,omitempty"`
DesiredMinSafeTrialsFraction *float64 "" /* 159 byte string literal not displayed */
}
Used in safe optimization to specify threshold levels and risk tolerance.
func (*StudySpec_MetricSpec_SafetyMetricConfig) Descriptor
func (*StudySpec_MetricSpec_SafetyMetricConfig) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_MetricSpec_SafetyMetricConfig.ProtoReflect.Descriptor instead.
func (*StudySpec_MetricSpec_SafetyMetricConfig) GetDesiredMinSafeTrialsFraction
func (x *StudySpec_MetricSpec_SafetyMetricConfig) GetDesiredMinSafeTrialsFraction() float64
func (*StudySpec_MetricSpec_SafetyMetricConfig) GetSafetyThreshold
func (x *StudySpec_MetricSpec_SafetyMetricConfig) GetSafetyThreshold() float64
func (*StudySpec_MetricSpec_SafetyMetricConfig) ProtoMessage
func (*StudySpec_MetricSpec_SafetyMetricConfig) ProtoMessage()
func (*StudySpec_MetricSpec_SafetyMetricConfig) ProtoReflect
func (x *StudySpec_MetricSpec_SafetyMetricConfig) ProtoReflect() protoreflect.Message
func (*StudySpec_MetricSpec_SafetyMetricConfig) Reset
func (x *StudySpec_MetricSpec_SafetyMetricConfig) Reset()
func (*StudySpec_MetricSpec_SafetyMetricConfig) String
func (x *StudySpec_MetricSpec_SafetyMetricConfig) String() string
StudySpec_ObservationNoise
type StudySpec_ObservationNoise int32
Describes the noise level of the repeated observations.
"Noisy" means that the repeated observations with the same Trial parameters may lead to different metric evaluations.
StudySpec_OBSERVATION_NOISE_UNSPECIFIED, StudySpec_LOW, StudySpec_HIGH
const (
// The default noise level chosen by Vertex AI.
StudySpec_OBSERVATION_NOISE_UNSPECIFIED StudySpec_ObservationNoise = 0
// Vertex AI assumes that the objective function is (nearly)
// perfectly reproducible, and will never repeat the same Trial
// parameters.
StudySpec_LOW StudySpec_ObservationNoise = 1
// Vertex AI will estimate the amount of noise in metric
// evaluations, it may repeat the same Trial parameters more than once.
StudySpec_HIGH StudySpec_ObservationNoise = 2
)
func (StudySpec_ObservationNoise) Descriptor
func (StudySpec_ObservationNoise) Descriptor() protoreflect.EnumDescriptor
func (StudySpec_ObservationNoise) Enum
func (x StudySpec_ObservationNoise) Enum() *StudySpec_ObservationNoise
func (StudySpec_ObservationNoise) EnumDescriptor
func (StudySpec_ObservationNoise) EnumDescriptor() ([]byte, []int)
Deprecated: Use StudySpec_ObservationNoise.Descriptor instead.
func (StudySpec_ObservationNoise) Number
func (x StudySpec_ObservationNoise) Number() protoreflect.EnumNumber
func (StudySpec_ObservationNoise) String
func (x StudySpec_ObservationNoise) String() string
func (StudySpec_ObservationNoise) Type
func (StudySpec_ObservationNoise) Type() protoreflect.EnumType
StudySpec_ParameterSpec
type StudySpec_ParameterSpec struct {
ParameterValueSpec isStudySpec_ParameterSpec_ParameterValueSpec `protobuf_oneof:"parameter_value_spec"`
ParameterId string `protobuf:"bytes,1,opt,name=parameter_id,json=parameterId,proto3" json:"parameter_id,omitempty"`
ScaleType StudySpec_ParameterSpec_ScaleType "" /* 155 byte string literal not displayed */
ConditionalParameterSpecs []*StudySpec_ParameterSpec_ConditionalParameterSpec "" /* 139 byte string literal not displayed */
}
Represents a single parameter to optimize.
func (*StudySpec_ParameterSpec) Descriptor
func (*StudySpec_ParameterSpec) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_ParameterSpec.ProtoReflect.Descriptor instead.
func (*StudySpec_ParameterSpec) GetCategoricalValueSpec
func (x *StudySpec_ParameterSpec) GetCategoricalValueSpec() *StudySpec_ParameterSpec_CategoricalValueSpec
func (*StudySpec_ParameterSpec) GetConditionalParameterSpecs
func (x *StudySpec_ParameterSpec) GetConditionalParameterSpecs() []*StudySpec_ParameterSpec_ConditionalParameterSpec
func (*StudySpec_ParameterSpec) GetDiscreteValueSpec
func (x *StudySpec_ParameterSpec) GetDiscreteValueSpec() *StudySpec_ParameterSpec_DiscreteValueSpec
func (*StudySpec_ParameterSpec) GetDoubleValueSpec
func (x *StudySpec_ParameterSpec) GetDoubleValueSpec() *StudySpec_ParameterSpec_DoubleValueSpec
func (*StudySpec_ParameterSpec) GetIntegerValueSpec
func (x *StudySpec_ParameterSpec) GetIntegerValueSpec() *StudySpec_ParameterSpec_IntegerValueSpec
func (*StudySpec_ParameterSpec) GetParameterId
func (x *StudySpec_ParameterSpec) GetParameterId() string
func (*StudySpec_ParameterSpec) GetParameterValueSpec
func (m *StudySpec_ParameterSpec) GetParameterValueSpec() isStudySpec_ParameterSpec_ParameterValueSpec
func (*StudySpec_ParameterSpec) GetScaleType
func (x *StudySpec_ParameterSpec) GetScaleType() StudySpec_ParameterSpec_ScaleType
func (*StudySpec_ParameterSpec) ProtoMessage
func (*StudySpec_ParameterSpec) ProtoMessage()
func (*StudySpec_ParameterSpec) ProtoReflect
func (x *StudySpec_ParameterSpec) ProtoReflect() protoreflect.Message
func (*StudySpec_ParameterSpec) Reset
func (x *StudySpec_ParameterSpec) Reset()
func (*StudySpec_ParameterSpec) String
func (x *StudySpec_ParameterSpec) String() string
StudySpec_ParameterSpec_CategoricalValueSpec
type StudySpec_ParameterSpec_CategoricalValueSpec struct {
// Required. The list of possible categories.
Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
// A default value for a `CATEGORICAL` parameter that is assumed to be a
// relatively good starting point. Unset value signals that there is no
// offered starting point.
//
// Currently only supported by the Vertex AI Vizier service. Not supported
// by HyperparameterTuningJob or TrainingPipeline.
DefaultValue *string `protobuf:"bytes,3,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
// contains filtered or unexported fields
}
Value specification for a parameter in CATEGORICAL
type.
func (*StudySpec_ParameterSpec_CategoricalValueSpec) Descriptor
func (*StudySpec_ParameterSpec_CategoricalValueSpec) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_ParameterSpec_CategoricalValueSpec.ProtoReflect.Descriptor instead.
func (*StudySpec_ParameterSpec_CategoricalValueSpec) GetDefaultValue
func (x *StudySpec_ParameterSpec_CategoricalValueSpec) GetDefaultValue() string
func (*StudySpec_ParameterSpec_CategoricalValueSpec) GetValues
func (x *StudySpec_ParameterSpec_CategoricalValueSpec) GetValues() []string
func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoMessage
func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoMessage()
func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoReflect
func (x *StudySpec_ParameterSpec_CategoricalValueSpec) ProtoReflect() protoreflect.Message
func (*StudySpec_ParameterSpec_CategoricalValueSpec) Reset
func (x *StudySpec_ParameterSpec_CategoricalValueSpec) Reset()
func (*StudySpec_ParameterSpec_CategoricalValueSpec) String
func (x *StudySpec_ParameterSpec_CategoricalValueSpec) String() string
StudySpec_ParameterSpec_CategoricalValueSpec_
type StudySpec_ParameterSpec_CategoricalValueSpec_ struct {
// The value spec for a 'CATEGORICAL' parameter.
CategoricalValueSpec *StudySpec_ParameterSpec_CategoricalValueSpec `protobuf:"bytes,4,opt,name=categorical_value_spec,json=categoricalValueSpec,proto3,oneof"`
}
StudySpec_ParameterSpec_ConditionalParameterSpec
type StudySpec_ParameterSpec_ConditionalParameterSpec struct {
// A set of parameter values from the parent ParameterSpec's feasible
// space.
//
// Types that are assignable to ParentValueCondition:
// *StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues
// *StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues
// *StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues
ParentValueCondition isStudySpec_ParameterSpec_ConditionalParameterSpec_ParentValueCondition `protobuf_oneof:"parent_value_condition"`
// Required. The spec for a conditional parameter.
ParameterSpec *StudySpec_ParameterSpec `protobuf:"bytes,1,opt,name=parameter_spec,json=parameterSpec,proto3" json:"parameter_spec,omitempty"`
// contains filtered or unexported fields
}
Represents a parameter spec with condition from its parent parameter.
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Descriptor
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec.ProtoReflect.Descriptor instead.
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParameterSpec
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParameterSpec() *StudySpec_ParameterSpec
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentCategoricalValues
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentCategoricalValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentDiscreteValues
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentDiscreteValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentIntValues
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentIntValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentValueCondition
func (m *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentValueCondition() isStudySpec_ParameterSpec_ConditionalParameterSpec_ParentValueCondition
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoMessage
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoMessage()
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoReflect
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoReflect() protoreflect.Message
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Reset
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) Reset()
func (*StudySpec_ParameterSpec_ConditionalParameterSpec) String
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) String() string
StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition
type StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition struct {
// Required. Matches values of the parent parameter of 'CATEGORICAL'
// type. All values must exist in `categorical_value_spec` of parent
// parameter.
Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
// contains filtered or unexported fields
}
Represents the spec to match categorical values from parent parameter.
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Descriptor
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition.ProtoReflect.Descriptor instead.
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) GetValues
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) GetValues() []string
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoMessage
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoMessage()
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoReflect
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoReflect() protoreflect.Message
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Reset
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) String
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) String() string
StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition
type StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition struct {
// Required. Matches values of the parent parameter of 'DISCRETE' type.
// All values must exist in `discrete_value_spec` of parent parameter.
//
// The Epsilon of the value matching is 1e-10.
Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
// contains filtered or unexported fields
}
Represents the spec to match discrete values from parent parameter.
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Descriptor
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition.ProtoReflect.Descriptor instead.
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) GetValues
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) GetValues() []float64
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoMessage
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoMessage()
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoReflect
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoReflect() protoreflect.Message
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Reset
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Reset()
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) String
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) String() string
StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition
type StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition struct {
// Required. Matches values of the parent parameter of 'INTEGER' type.
// All values must lie in `integer_value_spec` of parent parameter.
Values []int64 `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
// contains filtered or unexported fields
}
Represents the spec to match integer values from parent parameter.
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Descriptor
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition.ProtoReflect.Descriptor instead.
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) GetValues
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) GetValues() []int64
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoMessage
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoMessage()
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoReflect
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoReflect() protoreflect.Message
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Reset
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Reset()
func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) String
func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) String() string
StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues
type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues struct {
// The spec for matching values from a parent parameter of
// `CATEGORICAL` type.
ParentCategoricalValues *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition `protobuf:"bytes,4,opt,name=parent_categorical_values,json=parentCategoricalValues,proto3,oneof"`
}
StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues
type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues struct {
// The spec for matching values from a parent parameter of
// `DISCRETE` type.
ParentDiscreteValues *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition `protobuf:"bytes,2,opt,name=parent_discrete_values,json=parentDiscreteValues,proto3,oneof"`
}
StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues
type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues struct {
// The spec for matching values from a parent parameter of `INTEGER`
// type.
ParentIntValues *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition `protobuf:"bytes,3,opt,name=parent_int_values,json=parentIntValues,proto3,oneof"`
}
StudySpec_ParameterSpec_DiscreteValueSpec
type StudySpec_ParameterSpec_DiscreteValueSpec struct {
// Required. A list of possible values.
// The list should be in increasing order and at least 1e-10 apart.
// For instance, this parameter might have possible settings of 1.5, 2.5,
// and 4.0. This list should not contain more than 1,000 values.
Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
// A default value for a `DISCRETE` parameter that is assumed to be a
// relatively good starting point. Unset value signals that there is no
// offered starting point. It automatically rounds to the
// nearest feasible discrete point.
//
// Currently only supported by the Vertex AI Vizier service. Not supported
// by HyperparameterTuningJob or TrainingPipeline.
DefaultValue *float64 `protobuf:"fixed64,3,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
// contains filtered or unexported fields
}
Value specification for a parameter in DISCRETE
type.
func (*StudySpec_ParameterSpec_DiscreteValueSpec) Descriptor
func (*StudySpec_ParameterSpec_DiscreteValueSpec) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_ParameterSpec_DiscreteValueSpec.ProtoReflect.Descriptor instead.
func (*StudySpec_ParameterSpec_DiscreteValueSpec) GetDefaultValue
func (x *StudySpec_ParameterSpec_DiscreteValueSpec) GetDefaultValue() float64
func (*StudySpec_ParameterSpec_DiscreteValueSpec) GetValues
func (x *StudySpec_ParameterSpec_DiscreteValueSpec) GetValues() []float64
func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoMessage
func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoMessage()
func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoReflect
func (x *StudySpec_ParameterSpec_DiscreteValueSpec) ProtoReflect() protoreflect.Message
func (*StudySpec_ParameterSpec_DiscreteValueSpec) Reset
func (x *StudySpec_ParameterSpec_DiscreteValueSpec) Reset()
func (*StudySpec_ParameterSpec_DiscreteValueSpec) String
func (x *StudySpec_ParameterSpec_DiscreteValueSpec) String() string
StudySpec_ParameterSpec_DiscreteValueSpec_
type StudySpec_ParameterSpec_DiscreteValueSpec_ struct {
// The value spec for a 'DISCRETE' parameter.
DiscreteValueSpec *StudySpec_ParameterSpec_DiscreteValueSpec `protobuf:"bytes,5,opt,name=discrete_value_spec,json=discreteValueSpec,proto3,oneof"`
}
StudySpec_ParameterSpec_DoubleValueSpec
type StudySpec_ParameterSpec_DoubleValueSpec struct {
// Required. Inclusive minimum value of the parameter.
MinValue float64 `protobuf:"fixed64,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
// Required. Inclusive maximum value of the parameter.
MaxValue float64 `protobuf:"fixed64,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
// A default value for a `DOUBLE` parameter that is assumed to be a
// relatively good starting point. Unset value signals that there is no
// offered starting point.
//
// Currently only supported by the Vertex AI Vizier service. Not supported
// by HyperparameterTuningJob or TrainingPipeline.
DefaultValue *float64 `protobuf:"fixed64,4,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
// contains filtered or unexported fields
}
Value specification for a parameter in DOUBLE
type.
func (*StudySpec_ParameterSpec_DoubleValueSpec) Descriptor
func (*StudySpec_ParameterSpec_DoubleValueSpec) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_ParameterSpec_DoubleValueSpec.ProtoReflect.Descriptor instead.
func (*StudySpec_ParameterSpec_DoubleValueSpec) GetDefaultValue
func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetDefaultValue() float64
func (*StudySpec_ParameterSpec_DoubleValueSpec) GetMaxValue
func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetMaxValue() float64
func (*StudySpec_ParameterSpec_DoubleValueSpec) GetMinValue
func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetMinValue() float64
func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoMessage
func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoMessage()
func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoReflect
func (x *StudySpec_ParameterSpec_DoubleValueSpec) ProtoReflect() protoreflect.Message
func (*StudySpec_ParameterSpec_DoubleValueSpec) Reset
func (x *StudySpec_ParameterSpec_DoubleValueSpec) Reset()
func (*StudySpec_ParameterSpec_DoubleValueSpec) String
func (x *StudySpec_ParameterSpec_DoubleValueSpec) String() string
StudySpec_ParameterSpec_DoubleValueSpec_
type StudySpec_ParameterSpec_DoubleValueSpec_ struct {
// The value spec for a 'DOUBLE' parameter.
DoubleValueSpec *StudySpec_ParameterSpec_DoubleValueSpec `protobuf:"bytes,2,opt,name=double_value_spec,json=doubleValueSpec,proto3,oneof"`
}
StudySpec_ParameterSpec_IntegerValueSpec
type StudySpec_ParameterSpec_IntegerValueSpec struct {
// Required. Inclusive minimum value of the parameter.
MinValue int64 `protobuf:"varint,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
// Required. Inclusive maximum value of the parameter.
MaxValue int64 `protobuf:"varint,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
// A default value for an `INTEGER` parameter that is assumed to be a
// relatively good starting point. Unset value signals that there is no
// offered starting point.
//
// Currently only supported by the Vertex AI Vizier service. Not supported
// by HyperparameterTuningJob or TrainingPipeline.
DefaultValue *int64 `protobuf:"varint,4,opt,name=default_value,json=defaultValue,proto3,oneof" json:"default_value,omitempty"`
// contains filtered or unexported fields
}
Value specification for a parameter in INTEGER
type.
func (*StudySpec_ParameterSpec_IntegerValueSpec) Descriptor
func (*StudySpec_ParameterSpec_IntegerValueSpec) Descriptor() ([]byte, []int)
Deprecated: Use StudySpec_ParameterSpec_IntegerValueSpec.ProtoReflect.Descriptor instead.
func (*StudySpec_ParameterSpec_IntegerValueSpec) GetDefaultValue
func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetDefaultValue() int64
func (*StudySpec_ParameterSpec_IntegerValueSpec) GetMaxValue
func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetMaxValue() int64
func (*StudySpec_ParameterSpec_IntegerValueSpec) GetMinValue
func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetMinValue() int64
func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoMessage
func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoMessage()
func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoReflect
func (x *StudySpec_ParameterSpec_IntegerValueSpec) ProtoReflect() protoreflect.Message
func (*StudySpec_ParameterSpec_IntegerValueSpec) Reset
func (x *StudySpec_ParameterSpec_IntegerValueSpec) Reset()
func (*StudySpec_ParameterSpec_IntegerValueSpec) String
func (x *StudySpec_ParameterSpec_IntegerValueSpec) String() string
StudySpec_ParameterSpec_IntegerValueSpec_
type StudySpec_ParameterSpec_IntegerValueSpec_ struct {
// The value spec for an 'INTEGER' parameter.
IntegerValueSpec *StudySpec_ParameterSpec_IntegerValueSpec `protobuf:"bytes,3,opt,name=integer_value_spec,json=integerValueSpec,proto3,oneof"`
}
StudySpec_ParameterSpec_ScaleType
type StudySpec_ParameterSpec_ScaleType int32
The type of scaling that should be applied to this parameter.
StudySpec_ParameterSpec_SCALE_TYPE_UNSPECIFIED, StudySpec_ParameterSpec_UNIT_LINEAR_SCALE, StudySpec_ParameterSpec_UNIT_LOG_SCALE, StudySpec_ParameterSpec_UNIT_REVERSE_LOG_SCALE
const (
// By default, no scaling is applied.
StudySpec_ParameterSpec_SCALE_TYPE_UNSPECIFIED StudySpec_ParameterSpec_ScaleType = 0
// Scales the feasible space to (0, 1) linearly.
StudySpec_ParameterSpec_UNIT_LINEAR_SCALE StudySpec_ParameterSpec_ScaleType = 1
// Scales the feasible space logarithmically to (0, 1). The entire
// feasible space must be strictly positive.
StudySpec_ParameterSpec_UNIT_LOG_SCALE StudySpec_ParameterSpec_ScaleType = 2
// Scales the feasible space "reverse" logarithmically to (0, 1). The
// result is that values close to the top of the feasible space are spread
// out more than points near the bottom. The entire feasible space must be
// strictly positive.
StudySpec_ParameterSpec_UNIT_REVERSE_LOG_SCALE StudySpec_ParameterSpec_ScaleType = 3
)
func (StudySpec_ParameterSpec_ScaleType) Descriptor
func (StudySpec_ParameterSpec_ScaleType) Descriptor() protoreflect.EnumDescriptor
func (StudySpec_ParameterSpec_ScaleType) Enum
func (x StudySpec_ParameterSpec_ScaleType) Enum() *StudySpec_ParameterSpec_ScaleType
func (StudySpec_ParameterSpec_ScaleType) EnumDescriptor
func (StudySpec_ParameterSpec_ScaleType) EnumDescriptor() ([]byte, []int)
Deprecated: Use StudySpec_ParameterSpec_ScaleType.Descriptor instead.
func (StudySpec_ParameterSpec_ScaleType) Number
func (x StudySpec_ParameterSpec_ScaleType) Number() protoreflect.EnumNumber
func (StudySpec_ParameterSpec_ScaleType) String
func (x StudySpec_ParameterSpec_ScaleType) String() string
func (StudySpec_ParameterSpec_ScaleType) Type
func (StudySpec_ParameterSpec_ScaleType) Type() protoreflect.EnumType
Study_State
type Study_State int32
Describes the Study state.
Study_STATE_UNSPECIFIED, Study_ACTIVE, Study_INACTIVE, Study_COMPLETED
const (
// The study state is unspecified.
Study_STATE_UNSPECIFIED Study_State = 0
// The study is active.
Study_ACTIVE Study_State = 1
// The study is stopped due to an internal error.
Study_INACTIVE Study_State = 2
// The study is done when the service exhausts the parameter search space
// or max_trial_count is reached.
Study_COMPLETED Study_State = 3
)
func (Study_State) Descriptor
func (Study_State) Descriptor() protoreflect.EnumDescriptor
func (Study_State) Enum
func (x Study_State) Enum() *Study_State
func (Study_State) EnumDescriptor
func (Study_State) EnumDescriptor() ([]byte, []int)
Deprecated: Use Study_State.Descriptor instead.
func (Study_State) Number
func (x Study_State) Number() protoreflect.EnumNumber
func (Study_State) String
func (x Study_State) String() string
func (Study_State) Type
func (Study_State) Type() protoreflect.EnumType
SuggestTrialsMetadata
type SuggestTrialsMetadata struct {
// Operation metadata for suggesting Trials.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// The identifier of the client that is requesting the suggestion.
//
// If multiple SuggestTrialsRequests have the same `client_id`,
// the service will return the identical suggested Trial if the Trial is
// pending, and provide a new Trial if the last suggested Trial was completed.
ClientId string `protobuf:"bytes,2,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform Trials suggestion.
func (*SuggestTrialsMetadata) Descriptor
func (*SuggestTrialsMetadata) Descriptor() ([]byte, []int)
Deprecated: Use SuggestTrialsMetadata.ProtoReflect.Descriptor instead.
func (*SuggestTrialsMetadata) GetClientId
func (x *SuggestTrialsMetadata) GetClientId() string
func (*SuggestTrialsMetadata) GetGenericMetadata
func (x *SuggestTrialsMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*SuggestTrialsMetadata) ProtoMessage
func (*SuggestTrialsMetadata) ProtoMessage()
func (*SuggestTrialsMetadata) ProtoReflect
func (x *SuggestTrialsMetadata) ProtoReflect() protoreflect.Message
func (*SuggestTrialsMetadata) Reset
func (x *SuggestTrialsMetadata) Reset()
func (*SuggestTrialsMetadata) String
func (x *SuggestTrialsMetadata) String() string
SuggestTrialsRequest
type SuggestTrialsRequest struct {
// Required. The project and location that the Study belongs to.
// Format: `projects/{project}/locations/{location}/studies/{study}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Required. The number of suggestions requested. It must be positive.
SuggestionCount int32 `protobuf:"varint,2,opt,name=suggestion_count,json=suggestionCount,proto3" json:"suggestion_count,omitempty"`
// Required. The identifier of the client that is requesting the suggestion.
//
// If multiple SuggestTrialsRequests have the same `client_id`,
// the service will return the identical suggested Trial if the Trial is
// pending, and provide a new Trial if the last suggested Trial was completed.
ClientId string `protobuf:"bytes,3,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
func (*SuggestTrialsRequest) Descriptor
func (*SuggestTrialsRequest) Descriptor() ([]byte, []int)
Deprecated: Use SuggestTrialsRequest.ProtoReflect.Descriptor instead.
func (*SuggestTrialsRequest) GetClientId
func (x *SuggestTrialsRequest) GetClientId() string
func (*SuggestTrialsRequest) GetParent
func (x *SuggestTrialsRequest) GetParent() string
func (*SuggestTrialsRequest) GetSuggestionCount
func (x *SuggestTrialsRequest) GetSuggestionCount() int32
func (*SuggestTrialsRequest) ProtoMessage
func (*SuggestTrialsRequest) ProtoMessage()
func (*SuggestTrialsRequest) ProtoReflect
func (x *SuggestTrialsRequest) ProtoReflect() protoreflect.Message
func (*SuggestTrialsRequest) Reset
func (x *SuggestTrialsRequest) Reset()
func (*SuggestTrialsRequest) String
func (x *SuggestTrialsRequest) String() string
SuggestTrialsResponse
type SuggestTrialsResponse struct {
Trials []*Trial `protobuf:"bytes,1,rep,name=trials,proto3" json:"trials,omitempty"`
StudyState Study_State "" /* 136 byte string literal not displayed */
StartTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
}
Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
func (*SuggestTrialsResponse) Descriptor
func (*SuggestTrialsResponse) Descriptor() ([]byte, []int)
Deprecated: Use SuggestTrialsResponse.ProtoReflect.Descriptor instead.
func (*SuggestTrialsResponse) GetEndTime
func (x *SuggestTrialsResponse) GetEndTime() *timestamppb.Timestamp
func (*SuggestTrialsResponse) GetStartTime
func (x *SuggestTrialsResponse) GetStartTime() *timestamppb.Timestamp
func (*SuggestTrialsResponse) GetStudyState
func (x *SuggestTrialsResponse) GetStudyState() Study_State
func (*SuggestTrialsResponse) GetTrials
func (x *SuggestTrialsResponse) GetTrials() []*Trial
func (*SuggestTrialsResponse) ProtoMessage
func (*SuggestTrialsResponse) ProtoMessage()
func (*SuggestTrialsResponse) ProtoReflect
func (x *SuggestTrialsResponse) ProtoReflect() protoreflect.Message
func (*SuggestTrialsResponse) Reset
func (x *SuggestTrialsResponse) Reset()
func (*SuggestTrialsResponse) String
func (x *SuggestTrialsResponse) String() string
TFRecordDestination
type TFRecordDestination struct {
// Required. Google Cloud Storage location.
GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3" json:"gcs_destination,omitempty"`
// contains filtered or unexported fields
}
The storage details for TFRecord output content.
func (*TFRecordDestination) Descriptor
func (*TFRecordDestination) Descriptor() ([]byte, []int)
Deprecated: Use TFRecordDestination.ProtoReflect.Descriptor instead.
func (*TFRecordDestination) GetGcsDestination
func (x *TFRecordDestination) GetGcsDestination() *GcsDestination
func (*TFRecordDestination) ProtoMessage
func (*TFRecordDestination) ProtoMessage()
func (*TFRecordDestination) ProtoReflect
func (x *TFRecordDestination) ProtoReflect() protoreflect.Message
func (*TFRecordDestination) Reset
func (x *TFRecordDestination) Reset()
func (*TFRecordDestination) String
func (x *TFRecordDestination) String() string
Tensorboard
type Tensorboard struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
EncryptionSpec *EncryptionSpec `protobuf:"bytes,11,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
BlobStoragePathPrefix string "" /* 129 byte string literal not displayed */
RunCount int32 `protobuf:"varint,5,opt,name=run_count,json=runCount,proto3" json:"run_count,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
}
Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a Google Cloud project. If needed users can also create extra Tensorboards in their projects.
func (*Tensorboard) Descriptor
func (*Tensorboard) Descriptor() ([]byte, []int)
Deprecated: Use Tensorboard.ProtoReflect.Descriptor instead.
func (*Tensorboard) GetBlobStoragePathPrefix
func (x *Tensorboard) GetBlobStoragePathPrefix() string
func (*Tensorboard) GetCreateTime
func (x *Tensorboard) GetCreateTime() *timestamppb.Timestamp
func (*Tensorboard) GetDescription
func (x *Tensorboard) GetDescription() string
func (*Tensorboard) GetDisplayName
func (x *Tensorboard) GetDisplayName() string
func (*Tensorboard) GetEncryptionSpec
func (x *Tensorboard) GetEncryptionSpec() *EncryptionSpec
func (*Tensorboard) GetEtag
func (x *Tensorboard) GetEtag() string
func (*Tensorboard) GetLabels
func (x *Tensorboard) GetLabels() map[string]string
func (*Tensorboard) GetName
func (x *Tensorboard) GetName() string
func (*Tensorboard) GetRunCount
func (x *Tensorboard) GetRunCount() int32
func (*Tensorboard) GetUpdateTime
func (x *Tensorboard) GetUpdateTime() *timestamppb.Timestamp
func (*Tensorboard) ProtoMessage
func (*Tensorboard) ProtoMessage()
func (*Tensorboard) ProtoReflect
func (x *Tensorboard) ProtoReflect() protoreflect.Message
func (*Tensorboard) Reset
func (x *Tensorboard) Reset()
func (*Tensorboard) String
func (x *Tensorboard) String() string
TensorboardBlob
type TensorboardBlob struct {
// Output only. A URI safe key uniquely identifying a blob. Can be used to
// locate the blob stored in the Cloud Storage bucket of the consumer project.
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
// Optional. The bytes of the blob is not present unless it's returned by the
// ReadTensorboardBlobData endpoint.
Data []byte `protobuf:"bytes,2,opt,name=data,proto3" json:"data,omitempty"`
// contains filtered or unexported fields
}
One blob (e.g, image, graph) viewable on a blob metric plot.
func (*TensorboardBlob) Descriptor
func (*TensorboardBlob) Descriptor() ([]byte, []int)
Deprecated: Use TensorboardBlob.ProtoReflect.Descriptor instead.
func (*TensorboardBlob) GetData
func (x *TensorboardBlob) GetData() []byte
func (*TensorboardBlob) GetId
func (x *TensorboardBlob) GetId() string
func (*TensorboardBlob) ProtoMessage
func (*TensorboardBlob) ProtoMessage()
func (*TensorboardBlob) ProtoReflect
func (x *TensorboardBlob) ProtoReflect() protoreflect.Message
func (*TensorboardBlob) Reset
func (x *TensorboardBlob) Reset()
func (*TensorboardBlob) String
func (x *TensorboardBlob) String() string
TensorboardBlobSequence
type TensorboardBlobSequence struct {
// List of blobs contained within the sequence.
Values []*TensorboardBlob `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
// contains filtered or unexported fields
}
One point viewable on a blob metric plot, but mostly just a wrapper message
to work around repeated fields can't be used directly within oneof
fields.
func (*TensorboardBlobSequence) Descriptor
func (*TensorboardBlobSequence) Descriptor() ([]byte, []int)
Deprecated: Use TensorboardBlobSequence.ProtoReflect.Descriptor instead.
func (*TensorboardBlobSequence) GetValues
func (x *TensorboardBlobSequence) GetValues() []*TensorboardBlob
func (*TensorboardBlobSequence) ProtoMessage
func (*TensorboardBlobSequence) ProtoMessage()
func (*TensorboardBlobSequence) ProtoReflect
func (x *TensorboardBlobSequence) ProtoReflect() protoreflect.Message
func (*TensorboardBlobSequence) Reset
func (x *TensorboardBlobSequence) Reset()
func (*TensorboardBlobSequence) String
func (x *TensorboardBlobSequence) String() string
TensorboardExperiment
type TensorboardExperiment struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
Source string `protobuf:"bytes,8,opt,name=source,proto3" json:"source,omitempty"`
}
A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.
func (*TensorboardExperiment) Descriptor
func (*TensorboardExperiment) Descriptor() ([]byte, []int)
Deprecated: Use TensorboardExperiment.ProtoReflect.Descriptor instead.
func (*TensorboardExperiment) GetCreateTime
func (x *TensorboardExperiment) GetCreateTime() *timestamppb.Timestamp
func (*TensorboardExperiment) GetDescription
func (x *TensorboardExperiment) GetDescription() string
func (*TensorboardExperiment) GetDisplayName
func (x *TensorboardExperiment) GetDisplayName() string
func (*TensorboardExperiment) GetEtag
func (x *TensorboardExperiment) GetEtag() string
func (*TensorboardExperiment) GetLabels
func (x *TensorboardExperiment) GetLabels() map[string]string
func (*TensorboardExperiment) GetName
func (x *TensorboardExperiment) GetName() string
func (*TensorboardExperiment) GetSource
func (x *TensorboardExperiment) GetSource() string
func (*TensorboardExperiment) GetUpdateTime
func (x *TensorboardExperiment) GetUpdateTime() *timestamppb.Timestamp
func (*TensorboardExperiment) ProtoMessage
func (*TensorboardExperiment) ProtoMessage()
func (*TensorboardExperiment) ProtoReflect
func (x *TensorboardExperiment) ProtoReflect() protoreflect.Message
func (*TensorboardExperiment) Reset
func (x *TensorboardExperiment) Reset()
func (*TensorboardExperiment) String
func (x *TensorboardExperiment) String() string
TensorboardRun
type TensorboardRun struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Labels map[string]string "" /* 153 byte string literal not displayed */
Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
}
TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc
func (*TensorboardRun) Descriptor
func (*TensorboardRun) Descriptor() ([]byte, []int)
Deprecated: Use TensorboardRun.ProtoReflect.Descriptor instead.
func (*TensorboardRun) GetCreateTime
func (x *TensorboardRun) GetCreateTime() *timestamppb.Timestamp
func (*TensorboardRun) GetDescription
func (x *TensorboardRun) GetDescription() string
func (*TensorboardRun) GetDisplayName
func (x *TensorboardRun) GetDisplayName() string
func (*TensorboardRun) GetEtag
func (x *TensorboardRun) GetEtag() string
func (*TensorboardRun) GetLabels
func (x *TensorboardRun) GetLabels() map[string]string
func (*TensorboardRun) GetName
func (x *TensorboardRun) GetName() string
func (*TensorboardRun) GetUpdateTime
func (x *TensorboardRun) GetUpdateTime() *timestamppb.Timestamp
func (*TensorboardRun) ProtoMessage
func (*TensorboardRun) ProtoMessage()
func (*TensorboardRun) ProtoReflect
func (x *TensorboardRun) ProtoReflect() protoreflect.Message
func (*TensorboardRun) Reset
func (x *TensorboardRun) Reset()
func (*TensorboardRun) String
func (x *TensorboardRun) String() string
TensorboardServiceClient
type TensorboardServiceClient interface {
// Creates a Tensorboard.
CreateTensorboard(ctx context.Context, in *CreateTensorboardRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Gets a Tensorboard.
GetTensorboard(ctx context.Context, in *GetTensorboardRequest, opts ...grpc.CallOption) (*Tensorboard, error)
// Returns a list of monthly active users for a given TensorBoard instance.
ReadTensorboardUsage(ctx context.Context, in *ReadTensorboardUsageRequest, opts ...grpc.CallOption) (*ReadTensorboardUsageResponse, error)
// Updates a Tensorboard.
UpdateTensorboard(ctx context.Context, in *UpdateTensorboardRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Lists Tensorboards in a Location.
ListTensorboards(ctx context.Context, in *ListTensorboardsRequest, opts ...grpc.CallOption) (*ListTensorboardsResponse, error)
// Deletes a Tensorboard.
DeleteTensorboard(ctx context.Context, in *DeleteTensorboardRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Creates a TensorboardExperiment.
CreateTensorboardExperiment(ctx context.Context, in *CreateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
// Gets a TensorboardExperiment.
GetTensorboardExperiment(ctx context.Context, in *GetTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
// Updates a TensorboardExperiment.
UpdateTensorboardExperiment(ctx context.Context, in *UpdateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
// Lists TensorboardExperiments in a Location.
ListTensorboardExperiments(ctx context.Context, in *ListTensorboardExperimentsRequest, opts ...grpc.CallOption) (*ListTensorboardExperimentsResponse, error)
// Deletes a TensorboardExperiment.
DeleteTensorboardExperiment(ctx context.Context, in *DeleteTensorboardExperimentRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Creates a TensorboardRun.
CreateTensorboardRun(ctx context.Context, in *CreateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
// Batch create TensorboardRuns.
BatchCreateTensorboardRuns(ctx context.Context, in *BatchCreateTensorboardRunsRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardRunsResponse, error)
// Gets a TensorboardRun.
GetTensorboardRun(ctx context.Context, in *GetTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
// Updates a TensorboardRun.
UpdateTensorboardRun(ctx context.Context, in *UpdateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
// Lists TensorboardRuns in a Location.
ListTensorboardRuns(ctx context.Context, in *ListTensorboardRunsRequest, opts ...grpc.CallOption) (*ListTensorboardRunsResponse, error)
// Deletes a TensorboardRun.
DeleteTensorboardRun(ctx context.Context, in *DeleteTensorboardRunRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
BatchCreateTensorboardTimeSeries(ctx context.Context, in *BatchCreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardTimeSeriesResponse, error)
// Creates a TensorboardTimeSeries.
CreateTensorboardTimeSeries(ctx context.Context, in *CreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
// Gets a TensorboardTimeSeries.
GetTensorboardTimeSeries(ctx context.Context, in *GetTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
// Updates a TensorboardTimeSeries.
UpdateTensorboardTimeSeries(ctx context.Context, in *UpdateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
// Lists TensorboardTimeSeries in a Location.
ListTensorboardTimeSeries(ctx context.Context, in *ListTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*ListTensorboardTimeSeriesResponse, error)
// Deletes a TensorboardTimeSeries.
DeleteTensorboardTimeSeries(ctx context.Context, in *DeleteTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Reads multiple TensorboardTimeSeries' data. The data point number limit is
// 1000 for scalars, 100 for tensors and blob references. If the number of
// data points stored is less than the limit, all data is returned.
// Otherwise, the number limit of data points is randomly selected from
// this time series and returned.
BatchReadTensorboardTimeSeriesData(ctx context.Context, in *BatchReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*BatchReadTensorboardTimeSeriesDataResponse, error)
// Reads a TensorboardTimeSeries' data. By default, if the number of data
// points stored is less than 1000, all data is returned. Otherwise, 1000
// data points is randomly selected from this time series and returned.
// This value can be changed by changing max_data_points, which can't be
// greater than 10k.
ReadTensorboardTimeSeriesData(ctx context.Context, in *ReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ReadTensorboardTimeSeriesDataResponse, error)
// Gets bytes of TensorboardBlobs.
// This is to allow reading blob data stored in consumer project's Cloud
// Storage bucket without users having to obtain Cloud Storage access
// permission.
ReadTensorboardBlobData(ctx context.Context, in *ReadTensorboardBlobDataRequest, opts ...grpc.CallOption) (TensorboardService_ReadTensorboardBlobDataClient, error)
// Write time series data points of multiple TensorboardTimeSeries in multiple
// TensorboardRun's. If any data fail to be ingested, an error is returned.
WriteTensorboardExperimentData(ctx context.Context, in *WriteTensorboardExperimentDataRequest, opts ...grpc.CallOption) (*WriteTensorboardExperimentDataResponse, error)
// Write time series data points into multiple TensorboardTimeSeries under
// a TensorboardRun. If any data fail to be ingested, an error is returned.
WriteTensorboardRunData(ctx context.Context, in *WriteTensorboardRunDataRequest, opts ...grpc.CallOption) (*WriteTensorboardRunDataResponse, error)
// Exports a TensorboardTimeSeries' data. Data is returned in paginated
// responses.
ExportTensorboardTimeSeriesData(ctx context.Context, in *ExportTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ExportTensorboardTimeSeriesDataResponse, error)
}
TensorboardServiceClient is the client API for TensorboardService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewTensorboardServiceClient
func NewTensorboardServiceClient(cc grpc.ClientConnInterface) TensorboardServiceClient
TensorboardServiceServer
type TensorboardServiceServer interface {
// Creates a Tensorboard.
CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunning.Operation, error)
// Gets a Tensorboard.
GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error)
// Returns a list of monthly active users for a given TensorBoard instance.
ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error)
// Updates a Tensorboard.
UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunning.Operation, error)
// Lists Tensorboards in a Location.
ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error)
// Deletes a Tensorboard.
DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunning.Operation, error)
// Creates a TensorboardExperiment.
CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error)
// Gets a TensorboardExperiment.
GetTensorboardExperiment(context.Context, *GetTensorboardExperimentRequest) (*TensorboardExperiment, error)
// Updates a TensorboardExperiment.
UpdateTensorboardExperiment(context.Context, *UpdateTensorboardExperimentRequest) (*TensorboardExperiment, error)
// Lists TensorboardExperiments in a Location.
ListTensorboardExperiments(context.Context, *ListTensorboardExperimentsRequest) (*ListTensorboardExperimentsResponse, error)
// Deletes a TensorboardExperiment.
DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunning.Operation, error)
// Creates a TensorboardRun.
CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error)
// Batch create TensorboardRuns.
BatchCreateTensorboardRuns(context.Context, *BatchCreateTensorboardRunsRequest) (*BatchCreateTensorboardRunsResponse, error)
// Gets a TensorboardRun.
GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error)
// Updates a TensorboardRun.
UpdateTensorboardRun(context.Context, *UpdateTensorboardRunRequest) (*TensorboardRun, error)
// Lists TensorboardRuns in a Location.
ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error)
// Deletes a TensorboardRun.
DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunning.Operation, error)
// Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
BatchCreateTensorboardTimeSeries(context.Context, *BatchCreateTensorboardTimeSeriesRequest) (*BatchCreateTensorboardTimeSeriesResponse, error)
// Creates a TensorboardTimeSeries.
CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
// Gets a TensorboardTimeSeries.
GetTensorboardTimeSeries(context.Context, *GetTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
// Updates a TensorboardTimeSeries.
UpdateTensorboardTimeSeries(context.Context, *UpdateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
// Lists TensorboardTimeSeries in a Location.
ListTensorboardTimeSeries(context.Context, *ListTensorboardTimeSeriesRequest) (*ListTensorboardTimeSeriesResponse, error)
// Deletes a TensorboardTimeSeries.
DeleteTensorboardTimeSeries(context.Context, *DeleteTensorboardTimeSeriesRequest) (*longrunning.Operation, error)
// Reads multiple TensorboardTimeSeries' data. The data point number limit is
// 1000 for scalars, 100 for tensors and blob references. If the number of
// data points stored is less than the limit, all data is returned.
// Otherwise, the number limit of data points is randomly selected from
// this time series and returned.
BatchReadTensorboardTimeSeriesData(context.Context, *BatchReadTensorboardTimeSeriesDataRequest) (*BatchReadTensorboardTimeSeriesDataResponse, error)
// Reads a TensorboardTimeSeries' data. By default, if the number of data
// points stored is less than 1000, all data is returned. Otherwise, 1000
// data points is randomly selected from this time series and returned.
// This value can be changed by changing max_data_points, which can't be
// greater than 10k.
ReadTensorboardTimeSeriesData(context.Context, *ReadTensorboardTimeSeriesDataRequest) (*ReadTensorboardTimeSeriesDataResponse, error)
// Gets bytes of TensorboardBlobs.
// This is to allow reading blob data stored in consumer project's Cloud
// Storage bucket without users having to obtain Cloud Storage access
// permission.
ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error
// Write time series data points of multiple TensorboardTimeSeries in multiple
// TensorboardRun's. If any data fail to be ingested, an error is returned.
WriteTensorboardExperimentData(context.Context, *WriteTensorboardExperimentDataRequest) (*WriteTensorboardExperimentDataResponse, error)
// Write time series data points into multiple TensorboardTimeSeries under
// a TensorboardRun. If any data fail to be ingested, an error is returned.
WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error)
// Exports a TensorboardTimeSeries' data. Data is returned in paginated
// responses.
ExportTensorboardTimeSeriesData(context.Context, *ExportTensorboardTimeSeriesDataRequest) (*ExportTensorboardTimeSeriesDataResponse, error)
}
TensorboardServiceServer is the server API for TensorboardService service.
TensorboardService_ReadTensorboardBlobDataClient
type TensorboardService_ReadTensorboardBlobDataClient interface {
Recv() (*ReadTensorboardBlobDataResponse, error)
grpc.ClientStream
}
TensorboardService_ReadTensorboardBlobDataServer
type TensorboardService_ReadTensorboardBlobDataServer interface {
Send(*ReadTensorboardBlobDataResponse) error
grpc.ServerStream
}
TensorboardTensor
type TensorboardTensor struct {
// Required. Serialized form of
// https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/tensor.proto
Value []byte `protobuf:"bytes,1,opt,name=value,proto3" json:"value,omitempty"`
// Optional. Version number of TensorProto used to serialize
// [value][google.cloud.aiplatform.v1.TensorboardTensor.value].
VersionNumber int32 `protobuf:"varint,2,opt,name=version_number,json=versionNumber,proto3" json:"version_number,omitempty"`
// contains filtered or unexported fields
}
One point viewable on a tensor metric plot.
func (*TensorboardTensor) Descriptor
func (*TensorboardTensor) Descriptor() ([]byte, []int)
Deprecated: Use TensorboardTensor.ProtoReflect.Descriptor instead.
func (*TensorboardTensor) GetValue
func (x *TensorboardTensor) GetValue() []byte
func (*TensorboardTensor) GetVersionNumber
func (x *TensorboardTensor) GetVersionNumber() int32
func (*TensorboardTensor) ProtoMessage
func (*TensorboardTensor) ProtoMessage()
func (*TensorboardTensor) ProtoReflect
func (x *TensorboardTensor) ProtoReflect() protoreflect.Message
func (*TensorboardTensor) Reset
func (x *TensorboardTensor) Reset()
func (*TensorboardTensor) String
func (x *TensorboardTensor) String() string
TensorboardTimeSeries
type TensorboardTimeSeries struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
ValueType TensorboardTimeSeries_ValueType "" /* 153 byte string literal not displayed */
CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
PluginName string `protobuf:"bytes,8,opt,name=plugin_name,json=pluginName,proto3" json:"plugin_name,omitempty"`
PluginData []byte `protobuf:"bytes,9,opt,name=plugin_data,json=pluginData,proto3" json:"plugin_data,omitempty"`
Metadata *TensorboardTimeSeries_Metadata `protobuf:"bytes,10,opt,name=metadata,proto3" json:"metadata,omitempty"`
}
TensorboardTimeSeries maps to times series produced in training runs
func (*TensorboardTimeSeries) Descriptor
func (*TensorboardTimeSeries) Descriptor() ([]byte, []int)
Deprecated: Use TensorboardTimeSeries.ProtoReflect.Descriptor instead.
func (*TensorboardTimeSeries) GetCreateTime
func (x *TensorboardTimeSeries) GetCreateTime() *timestamppb.Timestamp
func (*TensorboardTimeSeries) GetDescription
func (x *TensorboardTimeSeries) GetDescription() string
func (*TensorboardTimeSeries) GetDisplayName
func (x *TensorboardTimeSeries) GetDisplayName() string
func (*TensorboardTimeSeries) GetEtag
func (x *TensorboardTimeSeries) GetEtag() string
func (*TensorboardTimeSeries) GetMetadata
func (x *TensorboardTimeSeries) GetMetadata() *TensorboardTimeSeries_Metadata
func (*TensorboardTimeSeries) GetName
func (x *TensorboardTimeSeries) GetName() string
func (*TensorboardTimeSeries) GetPluginData
func (x *TensorboardTimeSeries) GetPluginData() []byte
func (*TensorboardTimeSeries) GetPluginName
func (x *TensorboardTimeSeries) GetPluginName() string
func (*TensorboardTimeSeries) GetUpdateTime
func (x *TensorboardTimeSeries) GetUpdateTime() *timestamppb.Timestamp
func (*TensorboardTimeSeries) GetValueType
func (x *TensorboardTimeSeries) GetValueType() TensorboardTimeSeries_ValueType
func (*TensorboardTimeSeries) ProtoMessage
func (*TensorboardTimeSeries) ProtoMessage()
func (*TensorboardTimeSeries) ProtoReflect
func (x *TensorboardTimeSeries) ProtoReflect() protoreflect.Message
func (*TensorboardTimeSeries) Reset
func (x *TensorboardTimeSeries) Reset()
func (*TensorboardTimeSeries) String
func (x *TensorboardTimeSeries) String() string
TensorboardTimeSeries_Metadata
type TensorboardTimeSeries_Metadata struct {
MaxStep int64 `protobuf:"varint,1,opt,name=max_step,json=maxStep,proto3" json:"max_step,omitempty"`
MaxWallTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=max_wall_time,json=maxWallTime,proto3" json:"max_wall_time,omitempty"`
MaxBlobSequenceLength int64 "" /* 129 byte string literal not displayed */
}
Describes metadata for a TensorboardTimeSeries.
func (*TensorboardTimeSeries_Metadata) Descriptor
func (*TensorboardTimeSeries_Metadata) Descriptor() ([]byte, []int)
Deprecated: Use TensorboardTimeSeries_Metadata.ProtoReflect.Descriptor instead.
func (*TensorboardTimeSeries_Metadata) GetMaxBlobSequenceLength
func (x *TensorboardTimeSeries_Metadata) GetMaxBlobSequenceLength() int64
func (*TensorboardTimeSeries_Metadata) GetMaxStep
func (x *TensorboardTimeSeries_Metadata) GetMaxStep() int64
func (*TensorboardTimeSeries_Metadata) GetMaxWallTime
func (x *TensorboardTimeSeries_Metadata) GetMaxWallTime() *timestamppb.Timestamp
func (*TensorboardTimeSeries_Metadata) ProtoMessage
func (*TensorboardTimeSeries_Metadata) ProtoMessage()
func (*TensorboardTimeSeries_Metadata) ProtoReflect
func (x *TensorboardTimeSeries_Metadata) ProtoReflect() protoreflect.Message
func (*TensorboardTimeSeries_Metadata) Reset
func (x *TensorboardTimeSeries_Metadata) Reset()
func (*TensorboardTimeSeries_Metadata) String
func (x *TensorboardTimeSeries_Metadata) String() string
TensorboardTimeSeries_ValueType
type TensorboardTimeSeries_ValueType int32
An enum representing the value type of a TensorboardTimeSeries.
TensorboardTimeSeries_VALUE_TYPE_UNSPECIFIED, TensorboardTimeSeries_SCALAR, TensorboardTimeSeries_TENSOR, TensorboardTimeSeries_BLOB_SEQUENCE
const (
// The value type is unspecified.
TensorboardTimeSeries_VALUE_TYPE_UNSPECIFIED TensorboardTimeSeries_ValueType = 0
// Used for TensorboardTimeSeries that is a list of scalars.
// E.g. accuracy of a model over epochs/time.
TensorboardTimeSeries_SCALAR TensorboardTimeSeries_ValueType = 1
// Used for TensorboardTimeSeries that is a list of tensors.
// E.g. histograms of weights of layer in a model over epoch/time.
TensorboardTimeSeries_TENSOR TensorboardTimeSeries_ValueType = 2
// Used for TensorboardTimeSeries that is a list of blob sequences.
// E.g. set of sample images with labels over epochs/time.
TensorboardTimeSeries_BLOB_SEQUENCE TensorboardTimeSeries_ValueType = 3
)
func (TensorboardTimeSeries_ValueType) Descriptor
func (TensorboardTimeSeries_ValueType) Descriptor() protoreflect.EnumDescriptor
func (TensorboardTimeSeries_ValueType) Enum
func (x TensorboardTimeSeries_ValueType) Enum() *TensorboardTimeSeries_ValueType
func (TensorboardTimeSeries_ValueType) EnumDescriptor
func (TensorboardTimeSeries_ValueType) EnumDescriptor() ([]byte, []int)
Deprecated: Use TensorboardTimeSeries_ValueType.Descriptor instead.
func (TensorboardTimeSeries_ValueType) Number
func (x TensorboardTimeSeries_ValueType) Number() protoreflect.EnumNumber
func (TensorboardTimeSeries_ValueType) String
func (x TensorboardTimeSeries_ValueType) String() string
func (TensorboardTimeSeries_ValueType) Type
func (TensorboardTimeSeries_ValueType) Type() protoreflect.EnumType
ThresholdConfig
type ThresholdConfig struct {
// Types that are assignable to Threshold:
// *ThresholdConfig_Value
Threshold isThresholdConfig_Threshold `protobuf_oneof:"threshold"`
// contains filtered or unexported fields
}
The config for feature monitoring threshold.
func (*ThresholdConfig) Descriptor
func (*ThresholdConfig) Descriptor() ([]byte, []int)
Deprecated: Use ThresholdConfig.ProtoReflect.Descriptor instead.
func (*ThresholdConfig) GetThreshold
func (m *ThresholdConfig) GetThreshold() isThresholdConfig_Threshold
func (*ThresholdConfig) GetValue
func (x *ThresholdConfig) GetValue() float64
func (*ThresholdConfig) ProtoMessage
func (*ThresholdConfig) ProtoMessage()
func (*ThresholdConfig) ProtoReflect
func (x *ThresholdConfig) ProtoReflect() protoreflect.Message
func (*ThresholdConfig) Reset
func (x *ThresholdConfig) Reset()
func (*ThresholdConfig) String
func (x *ThresholdConfig) String() string
ThresholdConfig_Value
type ThresholdConfig_Value struct {
// Specify a threshold value that can trigger the alert.
// If this threshold config is for feature distribution distance:
// 1. For categorical feature, the distribution distance is calculated by
// L-inifinity norm.
// 2. For numerical feature, the distribution distance is calculated by
// Jensen–Shannon divergence.
// Each feature must have a non-zero threshold if they need to be monitored.
// Otherwise no alert will be triggered for that feature.
Value float64 `protobuf:"fixed64,1,opt,name=value,proto3,oneof"`
}
TimeSeriesData
type TimeSeriesData struct {
TensorboardTimeSeriesId string "" /* 134 byte string literal not displayed */
ValueType TensorboardTimeSeries_ValueType "" /* 153 byte string literal not displayed */
Values []*TimeSeriesDataPoint `protobuf:"bytes,3,rep,name=values,proto3" json:"values,omitempty"`
}
All the data stored in a TensorboardTimeSeries.
func (*TimeSeriesData) Descriptor
func (*TimeSeriesData) Descriptor() ([]byte, []int)
Deprecated: Use TimeSeriesData.ProtoReflect.Descriptor instead.
func (*TimeSeriesData) GetTensorboardTimeSeriesId
func (x *TimeSeriesData) GetTensorboardTimeSeriesId() string
func (*TimeSeriesData) GetValueType
func (x *TimeSeriesData) GetValueType() TensorboardTimeSeries_ValueType
func (*TimeSeriesData) GetValues
func (x *TimeSeriesData) GetValues() []*TimeSeriesDataPoint
func (*TimeSeriesData) ProtoMessage
func (*TimeSeriesData) ProtoMessage()
func (*TimeSeriesData) ProtoReflect
func (x *TimeSeriesData) ProtoReflect() protoreflect.Message
func (*TimeSeriesData) Reset
func (x *TimeSeriesData) Reset()
func (*TimeSeriesData) String
func (x *TimeSeriesData) String() string
TimeSeriesDataPoint
type TimeSeriesDataPoint struct {
// Value of this time series data point.
//
// Types that are assignable to Value:
// *TimeSeriesDataPoint_Scalar
// *TimeSeriesDataPoint_Tensor
// *TimeSeriesDataPoint_Blobs
Value isTimeSeriesDataPoint_Value `protobuf_oneof:"value"`
// Wall clock timestamp when this data point is generated by the end user.
WallTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=wall_time,json=wallTime,proto3" json:"wall_time,omitempty"`
// Step index of this data point within the run.
Step int64 `protobuf:"varint,2,opt,name=step,proto3" json:"step,omitempty"`
// contains filtered or unexported fields
}
A TensorboardTimeSeries data point.
func (*TimeSeriesDataPoint) Descriptor
func (*TimeSeriesDataPoint) Descriptor() ([]byte, []int)
Deprecated: Use TimeSeriesDataPoint.ProtoReflect.Descriptor instead.
func (*TimeSeriesDataPoint) GetBlobs
func (x *TimeSeriesDataPoint) GetBlobs() *TensorboardBlobSequence
func (*TimeSeriesDataPoint) GetScalar
func (x *TimeSeriesDataPoint) GetScalar() *Scalar
func (*TimeSeriesDataPoint) GetStep
func (x *TimeSeriesDataPoint) GetStep() int64
func (*TimeSeriesDataPoint) GetTensor
func (x *TimeSeriesDataPoint) GetTensor() *TensorboardTensor
func (*TimeSeriesDataPoint) GetValue
func (m *TimeSeriesDataPoint) GetValue() isTimeSeriesDataPoint_Value
func (*TimeSeriesDataPoint) GetWallTime
func (x *TimeSeriesDataPoint) GetWallTime() *timestamppb.Timestamp
func (*TimeSeriesDataPoint) ProtoMessage
func (*TimeSeriesDataPoint) ProtoMessage()
func (*TimeSeriesDataPoint) ProtoReflect
func (x *TimeSeriesDataPoint) ProtoReflect() protoreflect.Message
func (*TimeSeriesDataPoint) Reset
func (x *TimeSeriesDataPoint) Reset()
func (*TimeSeriesDataPoint) String
func (x *TimeSeriesDataPoint) String() string
TimeSeriesDataPoint_Blobs
type TimeSeriesDataPoint_Blobs struct {
// A blob sequence value.
Blobs *TensorboardBlobSequence `protobuf:"bytes,5,opt,name=blobs,proto3,oneof"`
}
TimeSeriesDataPoint_Scalar
type TimeSeriesDataPoint_Scalar struct {
// A scalar value.
Scalar *Scalar `protobuf:"bytes,3,opt,name=scalar,proto3,oneof"`
}
TimeSeriesDataPoint_Tensor
type TimeSeriesDataPoint_Tensor struct {
// A tensor value.
Tensor *TensorboardTensor `protobuf:"bytes,4,opt,name=tensor,proto3,oneof"`
}
TimestampSplit
type TimestampSplit struct {
// The fraction of the input data that is to be used to train the Model.
TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
// The fraction of the input data that is to be used to validate the Model.
ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
// The fraction of the input data that is to be used to evaluate the Model.
TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
// Required. The key is a name of one of the Dataset's data columns.
// The values of the key (the values in the column) must be in RFC 3339
// `date-time` format, where `time-offset` = `"Z"`
// (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
// present or has an invalid value, that piece is ignored by the pipeline.
Key string `protobuf:"bytes,4,opt,name=key,proto3" json:"key,omitempty"`
// contains filtered or unexported fields
}
Assigns input data to training, validation, and test sets based on a provided timestamps. The youngest data pieces are assigned to training set, next to validation set, and the oldest to the test set.
Supported only for tabular Datasets.
func (*TimestampSplit) Descriptor
func (*TimestampSplit) Descriptor() ([]byte, []int)
Deprecated: Use TimestampSplit.ProtoReflect.Descriptor instead.
func (*TimestampSplit) GetKey
func (x *TimestampSplit) GetKey() string
func (*TimestampSplit) GetTestFraction
func (x *TimestampSplit) GetTestFraction() float64
func (*TimestampSplit) GetTrainingFraction
func (x *TimestampSplit) GetTrainingFraction() float64
func (*TimestampSplit) GetValidationFraction
func (x *TimestampSplit) GetValidationFraction() float64
func (*TimestampSplit) ProtoMessage
func (*TimestampSplit) ProtoMessage()
func (*TimestampSplit) ProtoReflect
func (x *TimestampSplit) ProtoReflect() protoreflect.Message
func (*TimestampSplit) Reset
func (x *TimestampSplit) Reset()
func (*TimestampSplit) String
func (x *TimestampSplit) String() string
TrainingConfig
type TrainingConfig struct {
TimeoutTrainingMilliHours int64 "" /* 141 byte string literal not displayed */
}
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
func (*TrainingConfig) Descriptor
func (*TrainingConfig) Descriptor() ([]byte, []int)
Deprecated: Use TrainingConfig.ProtoReflect.Descriptor instead.
func (*TrainingConfig) GetTimeoutTrainingMilliHours
func (x *TrainingConfig) GetTimeoutTrainingMilliHours() int64
func (*TrainingConfig) ProtoMessage
func (*TrainingConfig) ProtoMessage()
func (*TrainingConfig) ProtoReflect
func (x *TrainingConfig) ProtoReflect() protoreflect.Message
func (*TrainingConfig) Reset
func (x *TrainingConfig) Reset()
func (*TrainingConfig) String
func (x *TrainingConfig) String() string
TrainingPipeline
type TrainingPipeline struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
InputDataConfig *InputDataConfig `protobuf:"bytes,3,opt,name=input_data_config,json=inputDataConfig,proto3" json:"input_data_config,omitempty"`
TrainingTaskDefinition string "" /* 129 byte string literal not displayed */
TrainingTaskInputs *structpb.Value `protobuf:"bytes,5,opt,name=training_task_inputs,json=trainingTaskInputs,proto3" json:"training_task_inputs,omitempty"`
TrainingTaskMetadata *structpb.Value `protobuf:"bytes,6,opt,name=training_task_metadata,json=trainingTaskMetadata,proto3" json:"training_task_metadata,omitempty"`
ModelToUpload *Model `protobuf:"bytes,7,opt,name=model_to_upload,json=modelToUpload,proto3" json:"model_to_upload,omitempty"`
ModelId string `protobuf:"bytes,22,opt,name=model_id,json=modelId,proto3" json:"model_id,omitempty"`
ParentModel string `protobuf:"bytes,21,opt,name=parent_model,json=parentModel,proto3" json:"parent_model,omitempty"`
State PipelineState `protobuf:"varint,9,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineState" json:"state,omitempty"`
Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
StartTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
Labels map[string]string "" /* 154 byte string literal not displayed */
EncryptionSpec *EncryptionSpec `protobuf:"bytes,18,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
}
The TrainingPipeline orchestrates tasks associated with training a Model. It always executes the training task, and optionally may also export data from Vertex AI's Dataset which becomes the training input, [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the Model.
func (*TrainingPipeline) Descriptor
func (*TrainingPipeline) Descriptor() ([]byte, []int)
Deprecated: Use TrainingPipeline.ProtoReflect.Descriptor instead.
func (*TrainingPipeline) GetCreateTime
func (x *TrainingPipeline) GetCreateTime() *timestamppb.Timestamp
func (*TrainingPipeline) GetDisplayName
func (x *TrainingPipeline) GetDisplayName() string
func (*TrainingPipeline) GetEncryptionSpec
func (x *TrainingPipeline) GetEncryptionSpec() *EncryptionSpec
func (*TrainingPipeline) GetEndTime
func (x *TrainingPipeline) GetEndTime() *timestamppb.Timestamp
func (*TrainingPipeline) GetError
func (x *TrainingPipeline) GetError() *status.Status
func (*TrainingPipeline) GetInputDataConfig
func (x *TrainingPipeline) GetInputDataConfig() *InputDataConfig
func (*TrainingPipeline) GetLabels
func (x *TrainingPipeline) GetLabels() map[string]string
func (*TrainingPipeline) GetModelId
func (x *TrainingPipeline) GetModelId() string
func (*TrainingPipeline) GetModelToUpload
func (x *TrainingPipeline) GetModelToUpload() *Model
func (*TrainingPipeline) GetName
func (x *TrainingPipeline) GetName() string
func (*TrainingPipeline) GetParentModel
func (x *TrainingPipeline) GetParentModel() string
func (*TrainingPipeline) GetStartTime
func (x *TrainingPipeline) GetStartTime() *timestamppb.Timestamp
func (*TrainingPipeline) GetState
func (x *TrainingPipeline) GetState() PipelineState
func (*TrainingPipeline) GetTrainingTaskDefinition
func (x *TrainingPipeline) GetTrainingTaskDefinition() string
func (*TrainingPipeline) GetTrainingTaskInputs
func (x *TrainingPipeline) GetTrainingTaskInputs() *structpb.Value
func (*TrainingPipeline) GetTrainingTaskMetadata
func (x *TrainingPipeline) GetTrainingTaskMetadata() *structpb.Value
func (*TrainingPipeline) GetUpdateTime
func (x *TrainingPipeline) GetUpdateTime() *timestamppb.Timestamp
func (*TrainingPipeline) ProtoMessage
func (*TrainingPipeline) ProtoMessage()
func (*TrainingPipeline) ProtoReflect
func (x *TrainingPipeline) ProtoReflect() protoreflect.Message
func (*TrainingPipeline) Reset
func (x *TrainingPipeline) Reset()
func (*TrainingPipeline) String
func (x *TrainingPipeline) String() string
Trial
type Trial struct {
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
Id string `protobuf:"bytes,2,opt,name=id,proto3" json:"id,omitempty"`
State Trial_State `protobuf:"varint,3,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.Trial_State" json:"state,omitempty"`
Parameters []*Trial_Parameter `protobuf:"bytes,4,rep,name=parameters,proto3" json:"parameters,omitempty"`
FinalMeasurement *Measurement `protobuf:"bytes,5,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`
Measurements []*Measurement `protobuf:"bytes,6,rep,name=measurements,proto3" json:"measurements,omitempty"`
StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
ClientId string `protobuf:"bytes,9,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
InfeasibleReason string `protobuf:"bytes,10,opt,name=infeasible_reason,json=infeasibleReason,proto3" json:"infeasible_reason,omitempty"`
CustomJob string `protobuf:"bytes,11,opt,name=custom_job,json=customJob,proto3" json:"custom_job,omitempty"`
WebAccessUris map[string]string "" /* 191 byte string literal not displayed */
}
A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial.
func (*Trial) Descriptor
Deprecated: Use Trial.ProtoReflect.Descriptor instead.
func (*Trial) GetClientId
func (*Trial) GetCustomJob
func (*Trial) GetEndTime
func (x *Trial) GetEndTime() *timestamppb.Timestamp
func (*Trial) GetFinalMeasurement
func (x *Trial) GetFinalMeasurement() *Measurement
func (*Trial) GetId
func (*Trial) GetInfeasibleReason
func (*Trial) GetMeasurements
func (x *Trial) GetMeasurements() []*Measurement
func (*Trial) GetName
func (*Trial) GetParameters
func (x *Trial) GetParameters() []*Trial_Parameter
func (*Trial) GetStartTime
func (x *Trial) GetStartTime() *timestamppb.Timestamp
func (*Trial) GetState
func (x *Trial) GetState() Trial_State
func (*Trial) GetWebAccessUris
func (*Trial) ProtoMessage
func (*Trial) ProtoMessage()
func (*Trial) ProtoReflect
func (x *Trial) ProtoReflect() protoreflect.Message
func (*Trial) Reset
func (x *Trial) Reset()
func (*Trial) String
Trial_Parameter
type Trial_Parameter struct {
// Output only. The ID of the parameter. The parameter should be defined in
// [StudySpec's
// Parameters][google.cloud.aiplatform.v1.StudySpec.parameters].
ParameterId string `protobuf:"bytes,1,opt,name=parameter_id,json=parameterId,proto3" json:"parameter_id,omitempty"`
// Output only. The value of the parameter.
// `number_value` will be set if a parameter defined in StudySpec is
// in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
// `string_value` will be set if a parameter defined in StudySpec is
// in type 'CATEGORICAL'.
Value *structpb.Value `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
// contains filtered or unexported fields
}
A message representing a parameter to be tuned.
func (*Trial_Parameter) Descriptor
func (*Trial_Parameter) Descriptor() ([]byte, []int)
Deprecated: Use Trial_Parameter.ProtoReflect.Descriptor instead.
func (*Trial_Parameter) GetParameterId
func (x *Trial_Parameter) GetParameterId() string
func (*Trial_Parameter) GetValue
func (x *Trial_Parameter) GetValue() *structpb.Value
func (*Trial_Parameter) ProtoMessage
func (*Trial_Parameter) ProtoMessage()
func (*Trial_Parameter) ProtoReflect
func (x *Trial_Parameter) ProtoReflect() protoreflect.Message
func (*Trial_Parameter) Reset
func (x *Trial_Parameter) Reset()
func (*Trial_Parameter) String
func (x *Trial_Parameter) String() string
Trial_State
type Trial_State int32
Describes a Trial state.
Trial_STATE_UNSPECIFIED, Trial_REQUESTED, Trial_ACTIVE, Trial_STOPPING, Trial_SUCCEEDED, Trial_INFEASIBLE
const (
// The Trial state is unspecified.
Trial_STATE_UNSPECIFIED Trial_State = 0
// Indicates that a specific Trial has been requested, but it has not yet
// been suggested by the service.
Trial_REQUESTED Trial_State = 1
// Indicates that the Trial has been suggested.
Trial_ACTIVE Trial_State = 2
// Indicates that the Trial should stop according to the service.
Trial_STOPPING Trial_State = 3
// Indicates that the Trial is completed successfully.
Trial_SUCCEEDED Trial_State = 4
// Indicates that the Trial should not be attempted again.
// The service will set a Trial to INFEASIBLE when it's done but missing
// the final_measurement.
Trial_INFEASIBLE Trial_State = 5
)
func (Trial_State) Descriptor
func (Trial_State) Descriptor() protoreflect.EnumDescriptor
func (Trial_State) Enum
func (x Trial_State) Enum() *Trial_State
func (Trial_State) EnumDescriptor
func (Trial_State) EnumDescriptor() ([]byte, []int)
Deprecated: Use Trial_State.Descriptor instead.
func (Trial_State) Number
func (x Trial_State) Number() protoreflect.EnumNumber
func (Trial_State) String
func (x Trial_State) String() string
func (Trial_State) Type
func (Trial_State) Type() protoreflect.EnumType
UndeployIndexOperationMetadata
type UndeployIndexOperationMetadata struct {
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
func (*UndeployIndexOperationMetadata) Descriptor
func (*UndeployIndexOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use UndeployIndexOperationMetadata.ProtoReflect.Descriptor instead.
func (*UndeployIndexOperationMetadata) GetGenericMetadata
func (x *UndeployIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*UndeployIndexOperationMetadata) ProtoMessage
func (*UndeployIndexOperationMetadata) ProtoMessage()
func (*UndeployIndexOperationMetadata) ProtoReflect
func (x *UndeployIndexOperationMetadata) ProtoReflect() protoreflect.Message
func (*UndeployIndexOperationMetadata) Reset
func (x *UndeployIndexOperationMetadata) Reset()
func (*UndeployIndexOperationMetadata) String
func (x *UndeployIndexOperationMetadata) String() string
UndeployIndexRequest
type UndeployIndexRequest struct {
// Required. The name of the IndexEndpoint resource from which to undeploy an
// Index. Format:
// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
// Required. The ID of the DeployedIndex to be undeployed from the
// IndexEndpoint.
DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
func (*UndeployIndexRequest) Descriptor
func (*UndeployIndexRequest) Descriptor() ([]byte, []int)
Deprecated: Use UndeployIndexRequest.ProtoReflect.Descriptor instead.
func (*UndeployIndexRequest) GetDeployedIndexId
func (x *UndeployIndexRequest) GetDeployedIndexId() string
func (*UndeployIndexRequest) GetIndexEndpoint
func (x *UndeployIndexRequest) GetIndexEndpoint() string
func (*UndeployIndexRequest) ProtoMessage
func (*UndeployIndexRequest) ProtoMessage()
func (*UndeployIndexRequest) ProtoReflect
func (x *UndeployIndexRequest) ProtoReflect() protoreflect.Message
func (*UndeployIndexRequest) Reset
func (x *UndeployIndexRequest) Reset()
func (*UndeployIndexRequest) String
func (x *UndeployIndexRequest) String() string
UndeployIndexResponse
type UndeployIndexResponse struct {
// contains filtered or unexported fields
}
Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
func (*UndeployIndexResponse) Descriptor
func (*UndeployIndexResponse) Descriptor() ([]byte, []int)
Deprecated: Use UndeployIndexResponse.ProtoReflect.Descriptor instead.
func (*UndeployIndexResponse) ProtoMessage
func (*UndeployIndexResponse) ProtoMessage()
func (*UndeployIndexResponse) ProtoReflect
func (x *UndeployIndexResponse) ProtoReflect() protoreflect.Message
func (*UndeployIndexResponse) Reset
func (x *UndeployIndexResponse) Reset()
func (*UndeployIndexResponse) String
func (x *UndeployIndexResponse) String() string
UndeployModelOperationMetadata
type UndeployModelOperationMetadata struct {
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
func (*UndeployModelOperationMetadata) Descriptor
func (*UndeployModelOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use UndeployModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*UndeployModelOperationMetadata) GetGenericMetadata
func (x *UndeployModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*UndeployModelOperationMetadata) ProtoMessage
func (*UndeployModelOperationMetadata) ProtoMessage()
func (*UndeployModelOperationMetadata) ProtoReflect
func (x *UndeployModelOperationMetadata) ProtoReflect() protoreflect.Message
func (*UndeployModelOperationMetadata) Reset
func (x *UndeployModelOperationMetadata) Reset()
func (*UndeployModelOperationMetadata) String
func (x *UndeployModelOperationMetadata) String() string
UndeployModelRequest
type UndeployModelRequest struct {
Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
TrafficSplit map[string]int32 "" /* 186 byte string literal not displayed */
}
Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
func (*UndeployModelRequest) Descriptor
func (*UndeployModelRequest) Descriptor() ([]byte, []int)
Deprecated: Use UndeployModelRequest.ProtoReflect.Descriptor instead.
func (*UndeployModelRequest) GetDeployedModelId
func (x *UndeployModelRequest) GetDeployedModelId() string
func (*UndeployModelRequest) GetEndpoint
func (x *UndeployModelRequest) GetEndpoint() string
func (*UndeployModelRequest) GetTrafficSplit
func (x *UndeployModelRequest) GetTrafficSplit() map[string]int32
func (*UndeployModelRequest) ProtoMessage
func (*UndeployModelRequest) ProtoMessage()
func (*UndeployModelRequest) ProtoReflect
func (x *UndeployModelRequest) ProtoReflect() protoreflect.Message
func (*UndeployModelRequest) Reset
func (x *UndeployModelRequest) Reset()
func (*UndeployModelRequest) String
func (x *UndeployModelRequest) String() string
UndeployModelResponse
type UndeployModelResponse struct {
// contains filtered or unexported fields
}
Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
func (*UndeployModelResponse) Descriptor
func (*UndeployModelResponse) Descriptor() ([]byte, []int)
Deprecated: Use UndeployModelResponse.ProtoReflect.Descriptor instead.
func (*UndeployModelResponse) ProtoMessage
func (*UndeployModelResponse) ProtoMessage()
func (*UndeployModelResponse) ProtoReflect
func (x *UndeployModelResponse) ProtoReflect() protoreflect.Message
func (*UndeployModelResponse) Reset
func (x *UndeployModelResponse) Reset()
func (*UndeployModelResponse) String
func (x *UndeployModelResponse) String() string
UnimplementedDatasetServiceServer
type UnimplementedDatasetServiceServer struct {
}
UnimplementedDatasetServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedDatasetServiceServer) CreateDataset
func (*UnimplementedDatasetServiceServer) CreateDataset(context.Context, *CreateDatasetRequest) (*longrunning.Operation, error)
func (*UnimplementedDatasetServiceServer) DeleteDataset
func (*UnimplementedDatasetServiceServer) DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunning.Operation, error)
func (*UnimplementedDatasetServiceServer) ExportData
func (*UnimplementedDatasetServiceServer) ExportData(context.Context, *ExportDataRequest) (*longrunning.Operation, error)
func (*UnimplementedDatasetServiceServer) GetAnnotationSpec
func (*UnimplementedDatasetServiceServer) GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error)
func (*UnimplementedDatasetServiceServer) GetDataset
func (*UnimplementedDatasetServiceServer) GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error)
func (*UnimplementedDatasetServiceServer) ImportData
func (*UnimplementedDatasetServiceServer) ImportData(context.Context, *ImportDataRequest) (*longrunning.Operation, error)
func (*UnimplementedDatasetServiceServer) ListAnnotations
func (*UnimplementedDatasetServiceServer) ListAnnotations(context.Context, *ListAnnotationsRequest) (*ListAnnotationsResponse, error)
func (*UnimplementedDatasetServiceServer) ListDataItems
func (*UnimplementedDatasetServiceServer) ListDataItems(context.Context, *ListDataItemsRequest) (*ListDataItemsResponse, error)
func (*UnimplementedDatasetServiceServer) ListDatasets
func (*UnimplementedDatasetServiceServer) ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error)
func (*UnimplementedDatasetServiceServer) ListSavedQueries
func (*UnimplementedDatasetServiceServer) ListSavedQueries(context.Context, *ListSavedQueriesRequest) (*ListSavedQueriesResponse, error)
func (*UnimplementedDatasetServiceServer) SearchDataItems
func (*UnimplementedDatasetServiceServer) SearchDataItems(context.Context, *SearchDataItemsRequest) (*SearchDataItemsResponse, error)
func (*UnimplementedDatasetServiceServer) UpdateDataset
func (*UnimplementedDatasetServiceServer) UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error)
UnimplementedEndpointServiceServer
type UnimplementedEndpointServiceServer struct {
}
UnimplementedEndpointServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedEndpointServiceServer) CreateEndpoint
func (*UnimplementedEndpointServiceServer) CreateEndpoint(context.Context, *CreateEndpointRequest) (*longrunning.Operation, error)
func (*UnimplementedEndpointServiceServer) DeleteEndpoint
func (*UnimplementedEndpointServiceServer) DeleteEndpoint(context.Context, *DeleteEndpointRequest) (*longrunning.Operation, error)
func (*UnimplementedEndpointServiceServer) DeployModel
func (*UnimplementedEndpointServiceServer) DeployModel(context.Context, *DeployModelRequest) (*longrunning.Operation, error)
func (*UnimplementedEndpointServiceServer) GetEndpoint
func (*UnimplementedEndpointServiceServer) GetEndpoint(context.Context, *GetEndpointRequest) (*Endpoint, error)
func (*UnimplementedEndpointServiceServer) ListEndpoints
func (*UnimplementedEndpointServiceServer) ListEndpoints(context.Context, *ListEndpointsRequest) (*ListEndpointsResponse, error)
func (*UnimplementedEndpointServiceServer) UndeployModel
func (*UnimplementedEndpointServiceServer) UndeployModel(context.Context, *UndeployModelRequest) (*longrunning.Operation, error)
func (*UnimplementedEndpointServiceServer) UpdateEndpoint
func (*UnimplementedEndpointServiceServer) UpdateEndpoint(context.Context, *UpdateEndpointRequest) (*Endpoint, error)
UnimplementedFeaturestoreOnlineServingServiceServer
type UnimplementedFeaturestoreOnlineServingServiceServer struct {
}
UnimplementedFeaturestoreOnlineServingServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedFeaturestoreOnlineServingServiceServer) ReadFeatureValues
func (*UnimplementedFeaturestoreOnlineServingServiceServer) ReadFeatureValues(context.Context, *ReadFeatureValuesRequest) (*ReadFeatureValuesResponse, error)
func (*UnimplementedFeaturestoreOnlineServingServiceServer) StreamingReadFeatureValues
func (*UnimplementedFeaturestoreOnlineServingServiceServer) StreamingReadFeatureValues(*StreamingReadFeatureValuesRequest, FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer) error
func (*UnimplementedFeaturestoreOnlineServingServiceServer) WriteFeatureValues
func (*UnimplementedFeaturestoreOnlineServingServiceServer) WriteFeatureValues(context.Context, *WriteFeatureValuesRequest) (*WriteFeatureValuesResponse, error)
UnimplementedFeaturestoreServiceServer
type UnimplementedFeaturestoreServiceServer struct {
}
UnimplementedFeaturestoreServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedFeaturestoreServiceServer) BatchCreateFeatures
func (*UnimplementedFeaturestoreServiceServer) BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunning.Operation, error)
func (*UnimplementedFeaturestoreServiceServer) BatchReadFeatureValues
func (*UnimplementedFeaturestoreServiceServer) BatchReadFeatureValues(context.Context, *BatchReadFeatureValuesRequest) (*longrunning.Operation, error)
func (*UnimplementedFeaturestoreServiceServer) CreateEntityType
func (*UnimplementedFeaturestoreServiceServer) CreateEntityType(context.Context, *CreateEntityTypeRequest) (*longrunning.Operation, error)
func (*UnimplementedFeaturestoreServiceServer) CreateFeature
func (*UnimplementedFeaturestoreServiceServer) CreateFeature(context.Context, *CreateFeatureRequest) (*longrunning.Operation, error)
func (*UnimplementedFeaturestoreServiceServer) CreateFeaturestore
func (*UnimplementedFeaturestoreServiceServer) CreateFeaturestore(context.Context, *CreateFeaturestoreRequest) (*longrunning.Operation, error)
func (*UnimplementedFeaturestoreServiceServer) DeleteEntityType
func (*UnimplementedFeaturestoreServiceServer) DeleteEntityType(context.Context, *DeleteEntityTypeRequest) (*longrunning.Operation, error)
func (*UnimplementedFeaturestoreServiceServer) DeleteFeature
func (*UnimplementedFeaturestoreServiceServer) DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunning.Operation, error)
func (*UnimplementedFeaturestoreServiceServer) DeleteFeaturestore
func (*UnimplementedFeaturestoreServiceServer) DeleteFeaturestore(context.Context, *DeleteFeaturestoreRequest) (*longrunning.Operation, error)
func (*UnimplementedFeaturestoreServiceServer) ExportFeatureValues
func (*UnimplementedFeaturestoreServiceServer) ExportFeatureValues(context.Context, *ExportFeatureValuesRequest) (*longrunning.Operation, error)
func (*UnimplementedFeaturestoreServiceServer) GetEntityType
func (*UnimplementedFeaturestoreServiceServer) GetEntityType(context.Context, *GetEntityTypeRequest) (*EntityType, error)
func (*UnimplementedFeaturestoreServiceServer) GetFeature
func (*UnimplementedFeaturestoreServiceServer) GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)
func (*UnimplementedFeaturestoreServiceServer) GetFeaturestore
func (*UnimplementedFeaturestoreServiceServer) GetFeaturestore(context.Context, *GetFeaturestoreRequest) (*Featurestore, error)
func (*UnimplementedFeaturestoreServiceServer) ImportFeatureValues
func (*UnimplementedFeaturestoreServiceServer) ImportFeatureValues(context.Context, *ImportFeatureValuesRequest) (*longrunning.Operation, error)
func (*UnimplementedFeaturestoreServiceServer) ListEntityTypes
func (*UnimplementedFeaturestoreServiceServer) ListEntityTypes(context.Context, *ListEntityTypesRequest) (*ListEntityTypesResponse, error)
func (*UnimplementedFeaturestoreServiceServer) ListFeatures
func (*UnimplementedFeaturestoreServiceServer) ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)
func (*UnimplementedFeaturestoreServiceServer) ListFeaturestores
func (*UnimplementedFeaturestoreServiceServer) ListFeaturestores(context.Context, *ListFeaturestoresRequest) (*ListFeaturestoresResponse, error)
func (*UnimplementedFeaturestoreServiceServer) SearchFeatures
func (*UnimplementedFeaturestoreServiceServer) SearchFeatures(context.Context, *SearchFeaturesRequest) (*SearchFeaturesResponse, error)
func (*UnimplementedFeaturestoreServiceServer) UpdateEntityType
func (*UnimplementedFeaturestoreServiceServer) UpdateEntityType(context.Context, *UpdateEntityTypeRequest) (*EntityType, error)
func (*UnimplementedFeaturestoreServiceServer) UpdateFeature
func (*UnimplementedFeaturestoreServiceServer) UpdateFeature(context.Context, *UpdateFeatureRequest) (*Feature, error)
func (*UnimplementedFeaturestoreServiceServer) UpdateFeaturestore
func (*UnimplementedFeaturestoreServiceServer) UpdateFeaturestore(context.Context, *UpdateFeaturestoreRequest) (*longrunning.Operation, error)
UnimplementedIndexEndpointServiceServer
type UnimplementedIndexEndpointServiceServer struct {
}
UnimplementedIndexEndpointServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedIndexEndpointServiceServer) CreateIndexEndpoint
func (*UnimplementedIndexEndpointServiceServer) CreateIndexEndpoint(context.Context, *CreateIndexEndpointRequest) (*longrunning.Operation, error)
func (*UnimplementedIndexEndpointServiceServer) DeleteIndexEndpoint
func (*UnimplementedIndexEndpointServiceServer) DeleteIndexEndpoint(context.Context, *DeleteIndexEndpointRequest) (*longrunning.Operation, error)
func (*UnimplementedIndexEndpointServiceServer) DeployIndex
func (*UnimplementedIndexEndpointServiceServer) DeployIndex(context.Context, *DeployIndexRequest) (*longrunning.Operation, error)
func (*UnimplementedIndexEndpointServiceServer) GetIndexEndpoint
func (*UnimplementedIndexEndpointServiceServer) GetIndexEndpoint(context.Context, *GetIndexEndpointRequest) (*IndexEndpoint, error)
func (*UnimplementedIndexEndpointServiceServer) ListIndexEndpoints
func (*UnimplementedIndexEndpointServiceServer) ListIndexEndpoints(context.Context, *ListIndexEndpointsRequest) (*ListIndexEndpointsResponse, error)
func (*UnimplementedIndexEndpointServiceServer) MutateDeployedIndex
func (*UnimplementedIndexEndpointServiceServer) MutateDeployedIndex(context.Context, *MutateDeployedIndexRequest) (*longrunning.Operation, error)
func (*UnimplementedIndexEndpointServiceServer) UndeployIndex
func (*UnimplementedIndexEndpointServiceServer) UndeployIndex(context.Context, *UndeployIndexRequest) (*longrunning.Operation, error)
func (*UnimplementedIndexEndpointServiceServer) UpdateIndexEndpoint
func (*UnimplementedIndexEndpointServiceServer) UpdateIndexEndpoint(context.Context, *UpdateIndexEndpointRequest) (*IndexEndpoint, error)
UnimplementedIndexServiceServer
type UnimplementedIndexServiceServer struct {
}
UnimplementedIndexServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedIndexServiceServer) CreateIndex
func (*UnimplementedIndexServiceServer) CreateIndex(context.Context, *CreateIndexRequest) (*longrunning.Operation, error)
func (*UnimplementedIndexServiceServer) DeleteIndex
func (*UnimplementedIndexServiceServer) DeleteIndex(context.Context, *DeleteIndexRequest) (*longrunning.Operation, error)
func (*UnimplementedIndexServiceServer) GetIndex
func (*UnimplementedIndexServiceServer) GetIndex(context.Context, *GetIndexRequest) (*Index, error)
func (*UnimplementedIndexServiceServer) ListIndexes
func (*UnimplementedIndexServiceServer) ListIndexes(context.Context, *ListIndexesRequest) (*ListIndexesResponse, error)
func (*UnimplementedIndexServiceServer) RemoveDatapoints
func (*UnimplementedIndexServiceServer) RemoveDatapoints(context.Context, *RemoveDatapointsRequest) (*RemoveDatapointsResponse, error)
func (*UnimplementedIndexServiceServer) UpdateIndex
func (*UnimplementedIndexServiceServer) UpdateIndex(context.Context, *UpdateIndexRequest) (*longrunning.Operation, error)
func (*UnimplementedIndexServiceServer) UpsertDatapoints
func (*UnimplementedIndexServiceServer) UpsertDatapoints(context.Context, *UpsertDatapointsRequest) (*UpsertDatapointsResponse, error)
UnimplementedJobServiceServer
type UnimplementedJobServiceServer struct {
}
UnimplementedJobServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedJobServiceServer) CancelBatchPredictionJob
func (*UnimplementedJobServiceServer) CancelBatchPredictionJob(context.Context, *CancelBatchPredictionJobRequest) (*emptypb.Empty, error)
func (*UnimplementedJobServiceServer) CancelCustomJob
func (*UnimplementedJobServiceServer) CancelCustomJob(context.Context, *CancelCustomJobRequest) (*emptypb.Empty, error)
func (*UnimplementedJobServiceServer) CancelDataLabelingJob
func (*UnimplementedJobServiceServer) CancelDataLabelingJob(context.Context, *CancelDataLabelingJobRequest) (*emptypb.Empty, error)
func (*UnimplementedJobServiceServer) CancelHyperparameterTuningJob
func (*UnimplementedJobServiceServer) CancelHyperparameterTuningJob(context.Context, *CancelHyperparameterTuningJobRequest) (*emptypb.Empty, error)
func (*UnimplementedJobServiceServer) CancelNasJob
func (*UnimplementedJobServiceServer) CancelNasJob(context.Context, *CancelNasJobRequest) (*emptypb.Empty, error)
func (*UnimplementedJobServiceServer) CreateBatchPredictionJob
func (*UnimplementedJobServiceServer) CreateBatchPredictionJob(context.Context, *CreateBatchPredictionJobRequest) (*BatchPredictionJob, error)
func (*UnimplementedJobServiceServer) CreateCustomJob
func (*UnimplementedJobServiceServer) CreateCustomJob(context.Context, *CreateCustomJobRequest) (*CustomJob, error)
func (*UnimplementedJobServiceServer) CreateDataLabelingJob
func (*UnimplementedJobServiceServer) CreateDataLabelingJob(context.Context, *CreateDataLabelingJobRequest) (*DataLabelingJob, error)
func (*UnimplementedJobServiceServer) CreateHyperparameterTuningJob
func (*UnimplementedJobServiceServer) CreateHyperparameterTuningJob(context.Context, *CreateHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
func (*UnimplementedJobServiceServer) CreateModelDeploymentMonitoringJob
func (*UnimplementedJobServiceServer) CreateModelDeploymentMonitoringJob(context.Context, *CreateModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
func (*UnimplementedJobServiceServer) CreateNasJob
func (*UnimplementedJobServiceServer) CreateNasJob(context.Context, *CreateNasJobRequest) (*NasJob, error)
func (*UnimplementedJobServiceServer) DeleteBatchPredictionJob
func (*UnimplementedJobServiceServer) DeleteBatchPredictionJob(context.Context, *DeleteBatchPredictionJobRequest) (*longrunning.Operation, error)
func (*UnimplementedJobServiceServer) DeleteCustomJob
func (*UnimplementedJobServiceServer) DeleteCustomJob(context.Context, *DeleteCustomJobRequest) (*longrunning.Operation, error)
func (*UnimplementedJobServiceServer) DeleteDataLabelingJob
func (*UnimplementedJobServiceServer) DeleteDataLabelingJob(context.Context, *DeleteDataLabelingJobRequest) (*longrunning.Operation, error)
func (*UnimplementedJobServiceServer) DeleteHyperparameterTuningJob
func (*UnimplementedJobServiceServer) DeleteHyperparameterTuningJob(context.Context, *DeleteHyperparameterTuningJobRequest) (*longrunning.Operation, error)
func (*UnimplementedJobServiceServer) DeleteModelDeploymentMonitoringJob
func (*UnimplementedJobServiceServer) DeleteModelDeploymentMonitoringJob(context.Context, *DeleteModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error)
func (*UnimplementedJobServiceServer) DeleteNasJob
func (*UnimplementedJobServiceServer) DeleteNasJob(context.Context, *DeleteNasJobRequest) (*longrunning.Operation, error)
func (*UnimplementedJobServiceServer) GetBatchPredictionJob
func (*UnimplementedJobServiceServer) GetBatchPredictionJob(context.Context, *GetBatchPredictionJobRequest) (*BatchPredictionJob, error)
func (*UnimplementedJobServiceServer) GetCustomJob
func (*UnimplementedJobServiceServer) GetCustomJob(context.Context, *GetCustomJobRequest) (*CustomJob, error)
func (*UnimplementedJobServiceServer) GetDataLabelingJob
func (*UnimplementedJobServiceServer) GetDataLabelingJob(context.Context, *GetDataLabelingJobRequest) (*DataLabelingJob, error)
func (*UnimplementedJobServiceServer) GetHyperparameterTuningJob
func (*UnimplementedJobServiceServer) GetHyperparameterTuningJob(context.Context, *GetHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
func (*UnimplementedJobServiceServer) GetModelDeploymentMonitoringJob
func (*UnimplementedJobServiceServer) GetModelDeploymentMonitoringJob(context.Context, *GetModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
func (*UnimplementedJobServiceServer) GetNasJob
func (*UnimplementedJobServiceServer) GetNasJob(context.Context, *GetNasJobRequest) (*NasJob, error)
func (*UnimplementedJobServiceServer) GetNasTrialDetail
func (*UnimplementedJobServiceServer) GetNasTrialDetail(context.Context, *GetNasTrialDetailRequest) (*NasTrialDetail, error)
func (*UnimplementedJobServiceServer) ListBatchPredictionJobs
func (*UnimplementedJobServiceServer) ListBatchPredictionJobs(context.Context, *ListBatchPredictionJobsRequest) (*ListBatchPredictionJobsResponse, error)
func (*UnimplementedJobServiceServer) ListCustomJobs
func (*UnimplementedJobServiceServer) ListCustomJobs(context.Context, *ListCustomJobsRequest) (*ListCustomJobsResponse, error)
func (*UnimplementedJobServiceServer) ListDataLabelingJobs
func (*UnimplementedJobServiceServer) ListDataLabelingJobs(context.Context, *ListDataLabelingJobsRequest) (*ListDataLabelingJobsResponse, error)
func (*UnimplementedJobServiceServer) ListHyperparameterTuningJobs
func (*UnimplementedJobServiceServer) ListHyperparameterTuningJobs(context.Context, *ListHyperparameterTuningJobsRequest) (*ListHyperparameterTuningJobsResponse, error)
func (*UnimplementedJobServiceServer) ListModelDeploymentMonitoringJobs
func (*UnimplementedJobServiceServer) ListModelDeploymentMonitoringJobs(context.Context, *ListModelDeploymentMonitoringJobsRequest) (*ListModelDeploymentMonitoringJobsResponse, error)
func (*UnimplementedJobServiceServer) ListNasJobs
func (*UnimplementedJobServiceServer) ListNasJobs(context.Context, *ListNasJobsRequest) (*ListNasJobsResponse, error)
func (*UnimplementedJobServiceServer) ListNasTrialDetails
func (*UnimplementedJobServiceServer) ListNasTrialDetails(context.Context, *ListNasTrialDetailsRequest) (*ListNasTrialDetailsResponse, error)
func (*UnimplementedJobServiceServer) PauseModelDeploymentMonitoringJob
func (*UnimplementedJobServiceServer) PauseModelDeploymentMonitoringJob(context.Context, *PauseModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
func (*UnimplementedJobServiceServer) ResumeModelDeploymentMonitoringJob
func (*UnimplementedJobServiceServer) ResumeModelDeploymentMonitoringJob(context.Context, *ResumeModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
func (*UnimplementedJobServiceServer) SearchModelDeploymentMonitoringStatsAnomalies
func (*UnimplementedJobServiceServer) SearchModelDeploymentMonitoringStatsAnomalies(context.Context, *SearchModelDeploymentMonitoringStatsAnomaliesRequest) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
func (*UnimplementedJobServiceServer) UpdateModelDeploymentMonitoringJob
func (*UnimplementedJobServiceServer) UpdateModelDeploymentMonitoringJob(context.Context, *UpdateModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error)
UnimplementedMetadataServiceServer
type UnimplementedMetadataServiceServer struct {
}
UnimplementedMetadataServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedMetadataServiceServer) AddContextArtifactsAndExecutions
func (*UnimplementedMetadataServiceServer) AddContextArtifactsAndExecutions(context.Context, *AddContextArtifactsAndExecutionsRequest) (*AddContextArtifactsAndExecutionsResponse, error)
func (*UnimplementedMetadataServiceServer) AddContextChildren
func (*UnimplementedMetadataServiceServer) AddContextChildren(context.Context, *AddContextChildrenRequest) (*AddContextChildrenResponse, error)
func (*UnimplementedMetadataServiceServer) AddExecutionEvents
func (*UnimplementedMetadataServiceServer) AddExecutionEvents(context.Context, *AddExecutionEventsRequest) (*AddExecutionEventsResponse, error)
func (*UnimplementedMetadataServiceServer) CreateArtifact
func (*UnimplementedMetadataServiceServer) CreateArtifact(context.Context, *CreateArtifactRequest) (*Artifact, error)
func (*UnimplementedMetadataServiceServer) CreateContext
func (*UnimplementedMetadataServiceServer) CreateContext(context.Context, *CreateContextRequest) (*Context, error)
func (*UnimplementedMetadataServiceServer) CreateExecution
func (*UnimplementedMetadataServiceServer) CreateExecution(context.Context, *CreateExecutionRequest) (*Execution, error)
func (*UnimplementedMetadataServiceServer) CreateMetadataSchema
func (*UnimplementedMetadataServiceServer) CreateMetadataSchema(context.Context, *CreateMetadataSchemaRequest) (*MetadataSchema, error)
func (*UnimplementedMetadataServiceServer) CreateMetadataStore
func (*UnimplementedMetadataServiceServer) CreateMetadataStore(context.Context, *CreateMetadataStoreRequest) (*longrunning.Operation, error)
func (*UnimplementedMetadataServiceServer) DeleteArtifact
func (*UnimplementedMetadataServiceServer) DeleteArtifact(context.Context, *DeleteArtifactRequest) (*longrunning.Operation, error)
func (*UnimplementedMetadataServiceServer) DeleteContext
func (*UnimplementedMetadataServiceServer) DeleteContext(context.Context, *DeleteContextRequest) (*longrunning.Operation, error)
func (*UnimplementedMetadataServiceServer) DeleteExecution
func (*UnimplementedMetadataServiceServer) DeleteExecution(context.Context, *DeleteExecutionRequest) (*longrunning.Operation, error)
func (*UnimplementedMetadataServiceServer) DeleteMetadataStore
func (*UnimplementedMetadataServiceServer) DeleteMetadataStore(context.Context, *DeleteMetadataStoreRequest) (*longrunning.Operation, error)
func (*UnimplementedMetadataServiceServer) GetArtifact
func (*UnimplementedMetadataServiceServer) GetArtifact(context.Context, *GetArtifactRequest) (*Artifact, error)
func (*UnimplementedMetadataServiceServer) GetContext
func (*UnimplementedMetadataServiceServer) GetContext(context.Context, *GetContextRequest) (*Context, error)
func (*UnimplementedMetadataServiceServer) GetExecution
func (*UnimplementedMetadataServiceServer) GetExecution(context.Context, *GetExecutionRequest) (*Execution, error)
func (*UnimplementedMetadataServiceServer) GetMetadataSchema
func (*UnimplementedMetadataServiceServer) GetMetadataSchema(context.Context, *GetMetadataSchemaRequest) (*MetadataSchema, error)
func (*UnimplementedMetadataServiceServer) GetMetadataStore
func (*UnimplementedMetadataServiceServer) GetMetadataStore(context.Context, *GetMetadataStoreRequest) (*MetadataStore, error)
func (*UnimplementedMetadataServiceServer) ListArtifacts
func (*UnimplementedMetadataServiceServer) ListArtifacts(context.Context, *ListArtifactsRequest) (*ListArtifactsResponse, error)
func (*UnimplementedMetadataServiceServer) ListContexts
func (*UnimplementedMetadataServiceServer) ListContexts(context.Context, *ListContextsRequest) (*ListContextsResponse, error)
func (*UnimplementedMetadataServiceServer) ListExecutions
func (*UnimplementedMetadataServiceServer) ListExecutions(context.Context, *ListExecutionsRequest) (*ListExecutionsResponse, error)
func (*UnimplementedMetadataServiceServer) ListMetadataSchemas
func (*UnimplementedMetadataServiceServer) ListMetadataSchemas(context.Context, *ListMetadataSchemasRequest) (*ListMetadataSchemasResponse, error)
func (*UnimplementedMetadataServiceServer) ListMetadataStores
func (*UnimplementedMetadataServiceServer) ListMetadataStores(context.Context, *ListMetadataStoresRequest) (*ListMetadataStoresResponse, error)
func (*UnimplementedMetadataServiceServer) PurgeArtifacts
func (*UnimplementedMetadataServiceServer) PurgeArtifacts(context.Context, *PurgeArtifactsRequest) (*longrunning.Operation, error)
func (*UnimplementedMetadataServiceServer) PurgeContexts
func (*UnimplementedMetadataServiceServer) PurgeContexts(context.Context, *PurgeContextsRequest) (*longrunning.Operation, error)
func (*UnimplementedMetadataServiceServer) PurgeExecutions
func (*UnimplementedMetadataServiceServer) PurgeExecutions(context.Context, *PurgeExecutionsRequest) (*longrunning.Operation, error)
func (*UnimplementedMetadataServiceServer) QueryArtifactLineageSubgraph
func (*UnimplementedMetadataServiceServer) QueryArtifactLineageSubgraph(context.Context, *QueryArtifactLineageSubgraphRequest) (*LineageSubgraph, error)
func (*UnimplementedMetadataServiceServer) QueryContextLineageSubgraph
func (*UnimplementedMetadataServiceServer) QueryContextLineageSubgraph(context.Context, *QueryContextLineageSubgraphRequest) (*LineageSubgraph, error)
func (*UnimplementedMetadataServiceServer) QueryExecutionInputsAndOutputs
func (*UnimplementedMetadataServiceServer) QueryExecutionInputsAndOutputs(context.Context, *QueryExecutionInputsAndOutputsRequest) (*LineageSubgraph, error)
func (*UnimplementedMetadataServiceServer) RemoveContextChildren
func (*UnimplementedMetadataServiceServer) RemoveContextChildren(context.Context, *RemoveContextChildrenRequest) (*RemoveContextChildrenResponse, error)
func (*UnimplementedMetadataServiceServer) UpdateArtifact
func (*UnimplementedMetadataServiceServer) UpdateArtifact(context.Context, *UpdateArtifactRequest) (*Artifact, error)
func (*UnimplementedMetadataServiceServer) UpdateContext
func (*UnimplementedMetadataServiceServer) UpdateContext(context.Context, *UpdateContextRequest) (*Context, error)
func (*UnimplementedMetadataServiceServer) UpdateExecution
func (*UnimplementedMetadataServiceServer) UpdateExecution(context.Context, *UpdateExecutionRequest) (*Execution, error)
UnimplementedMigrationServiceServer
type UnimplementedMigrationServiceServer struct {
}
UnimplementedMigrationServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedMigrationServiceServer) BatchMigrateResources
func (*UnimplementedMigrationServiceServer) BatchMigrateResources(context.Context, *BatchMigrateResourcesRequest) (*longrunning.Operation, error)
func (*UnimplementedMigrationServiceServer) SearchMigratableResources
func (*UnimplementedMigrationServiceServer) SearchMigratableResources(context.Context, *SearchMigratableResourcesRequest) (*SearchMigratableResourcesResponse, error)
UnimplementedModelServiceServer
type UnimplementedModelServiceServer struct {
}
UnimplementedModelServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedModelServiceServer) BatchImportModelEvaluationSlices
func (*UnimplementedModelServiceServer) BatchImportModelEvaluationSlices(context.Context, *BatchImportModelEvaluationSlicesRequest) (*BatchImportModelEvaluationSlicesResponse, error)
func (*UnimplementedModelServiceServer) CopyModel
func (*UnimplementedModelServiceServer) CopyModel(context.Context, *CopyModelRequest) (*longrunning.Operation, error)
func (*UnimplementedModelServiceServer) DeleteModel
func (*UnimplementedModelServiceServer) DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error)
func (*UnimplementedModelServiceServer) DeleteModelVersion
func (*UnimplementedModelServiceServer) DeleteModelVersion(context.Context, *DeleteModelVersionRequest) (*longrunning.Operation, error)
func (*UnimplementedModelServiceServer) ExportModel
func (*UnimplementedModelServiceServer) ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error)
func (*UnimplementedModelServiceServer) GetModel
func (*UnimplementedModelServiceServer) GetModel(context.Context, *GetModelRequest) (*Model, error)
func (*UnimplementedModelServiceServer) GetModelEvaluation
func (*UnimplementedModelServiceServer) GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error)
func (*UnimplementedModelServiceServer) GetModelEvaluationSlice
func (*UnimplementedModelServiceServer) GetModelEvaluationSlice(context.Context, *GetModelEvaluationSliceRequest) (*ModelEvaluationSlice, error)
func (*UnimplementedModelServiceServer) ImportModelEvaluation
func (*UnimplementedModelServiceServer) ImportModelEvaluation(context.Context, *ImportModelEvaluationRequest) (*ModelEvaluation, error)
func (*UnimplementedModelServiceServer) ListModelEvaluationSlices
func (*UnimplementedModelServiceServer) ListModelEvaluationSlices(context.Context, *ListModelEvaluationSlicesRequest) (*ListModelEvaluationSlicesResponse, error)
func (*UnimplementedModelServiceServer) ListModelEvaluations
func (*UnimplementedModelServiceServer) ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error)
func (*UnimplementedModelServiceServer) ListModelVersions
func (*UnimplementedModelServiceServer) ListModelVersions(context.Context, *ListModelVersionsRequest) (*ListModelVersionsResponse, error)
func (*UnimplementedModelServiceServer) ListModels
func (*UnimplementedModelServiceServer) ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)
func (*UnimplementedModelServiceServer) MergeVersionAliases
func (*UnimplementedModelServiceServer) MergeVersionAliases(context.Context, *MergeVersionAliasesRequest) (*Model, error)
func (*UnimplementedModelServiceServer) UpdateModel
func (*UnimplementedModelServiceServer) UpdateModel(context.Context, *UpdateModelRequest) (*Model, error)
func (*UnimplementedModelServiceServer) UploadModel
func (*UnimplementedModelServiceServer) UploadModel(context.Context, *UploadModelRequest) (*longrunning.Operation, error)
UnimplementedPipelineServiceServer
type UnimplementedPipelineServiceServer struct {
}
UnimplementedPipelineServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedPipelineServiceServer) CancelPipelineJob
func (*UnimplementedPipelineServiceServer) CancelPipelineJob(context.Context, *CancelPipelineJobRequest) (*emptypb.Empty, error)
func (*UnimplementedPipelineServiceServer) CancelTrainingPipeline
func (*UnimplementedPipelineServiceServer) CancelTrainingPipeline(context.Context, *CancelTrainingPipelineRequest) (*emptypb.Empty, error)
func (*UnimplementedPipelineServiceServer) CreatePipelineJob
func (*UnimplementedPipelineServiceServer) CreatePipelineJob(context.Context, *CreatePipelineJobRequest) (*PipelineJob, error)
func (*UnimplementedPipelineServiceServer) CreateTrainingPipeline
func (*UnimplementedPipelineServiceServer) CreateTrainingPipeline(context.Context, *CreateTrainingPipelineRequest) (*TrainingPipeline, error)
func (*UnimplementedPipelineServiceServer) DeletePipelineJob
func (*UnimplementedPipelineServiceServer) DeletePipelineJob(context.Context, *DeletePipelineJobRequest) (*longrunning.Operation, error)
func (*UnimplementedPipelineServiceServer) DeleteTrainingPipeline
func (*UnimplementedPipelineServiceServer) DeleteTrainingPipeline(context.Context, *DeleteTrainingPipelineRequest) (*longrunning.Operation, error)
func (*UnimplementedPipelineServiceServer) GetPipelineJob
func (*UnimplementedPipelineServiceServer) GetPipelineJob(context.Context, *GetPipelineJobRequest) (*PipelineJob, error)
func (*UnimplementedPipelineServiceServer) GetTrainingPipeline
func (*UnimplementedPipelineServiceServer) GetTrainingPipeline(context.Context, *GetTrainingPipelineRequest) (*TrainingPipeline, error)
func (*UnimplementedPipelineServiceServer) ListPipelineJobs
func (*UnimplementedPipelineServiceServer) ListPipelineJobs(context.Context, *ListPipelineJobsRequest) (*ListPipelineJobsResponse, error)
func (*UnimplementedPipelineServiceServer) ListTrainingPipelines
func (*UnimplementedPipelineServiceServer) ListTrainingPipelines(context.Context, *ListTrainingPipelinesRequest) (*ListTrainingPipelinesResponse, error)
UnimplementedPredictionServiceServer
type UnimplementedPredictionServiceServer struct {
}
UnimplementedPredictionServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedPredictionServiceServer) Explain
func (*UnimplementedPredictionServiceServer) Explain(context.Context, *ExplainRequest) (*ExplainResponse, error)
func (*UnimplementedPredictionServiceServer) Predict
func (*UnimplementedPredictionServiceServer) Predict(context.Context, *PredictRequest) (*PredictResponse, error)
func (*UnimplementedPredictionServiceServer) RawPredict
func (*UnimplementedPredictionServiceServer) RawPredict(context.Context, *RawPredictRequest) (*httpbody.HttpBody, error)
UnimplementedSpecialistPoolServiceServer
type UnimplementedSpecialistPoolServiceServer struct {
}
UnimplementedSpecialistPoolServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedSpecialistPoolServiceServer) CreateSpecialistPool
func (*UnimplementedSpecialistPoolServiceServer) CreateSpecialistPool(context.Context, *CreateSpecialistPoolRequest) (*longrunning.Operation, error)
func (*UnimplementedSpecialistPoolServiceServer) DeleteSpecialistPool
func (*UnimplementedSpecialistPoolServiceServer) DeleteSpecialistPool(context.Context, *DeleteSpecialistPoolRequest) (*longrunning.Operation, error)
func (*UnimplementedSpecialistPoolServiceServer) GetSpecialistPool
func (*UnimplementedSpecialistPoolServiceServer) GetSpecialistPool(context.Context, *GetSpecialistPoolRequest) (*SpecialistPool, error)
func (*UnimplementedSpecialistPoolServiceServer) ListSpecialistPools
func (*UnimplementedSpecialistPoolServiceServer) ListSpecialistPools(context.Context, *ListSpecialistPoolsRequest) (*ListSpecialistPoolsResponse, error)
func (*UnimplementedSpecialistPoolServiceServer) UpdateSpecialistPool
func (*UnimplementedSpecialistPoolServiceServer) UpdateSpecialistPool(context.Context, *UpdateSpecialistPoolRequest) (*longrunning.Operation, error)
UnimplementedTensorboardServiceServer
type UnimplementedTensorboardServiceServer struct {
}
UnimplementedTensorboardServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardRuns
func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardRuns(context.Context, *BatchCreateTensorboardRunsRequest) (*BatchCreateTensorboardRunsResponse, error)
func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardTimeSeries
func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardTimeSeries(context.Context, *BatchCreateTensorboardTimeSeriesRequest) (*BatchCreateTensorboardTimeSeriesResponse, error)
func (*UnimplementedTensorboardServiceServer) BatchReadTensorboardTimeSeriesData
func (*UnimplementedTensorboardServiceServer) BatchReadTensorboardTimeSeriesData(context.Context, *BatchReadTensorboardTimeSeriesDataRequest) (*BatchReadTensorboardTimeSeriesDataResponse, error)
func (*UnimplementedTensorboardServiceServer) CreateTensorboard
func (*UnimplementedTensorboardServiceServer) CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunning.Operation, error)
func (*UnimplementedTensorboardServiceServer) CreateTensorboardExperiment
func (*UnimplementedTensorboardServiceServer) CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error)
func (*UnimplementedTensorboardServiceServer) CreateTensorboardRun
func (*UnimplementedTensorboardServiceServer) CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error)
func (*UnimplementedTensorboardServiceServer) CreateTensorboardTimeSeries
func (*UnimplementedTensorboardServiceServer) CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
func (*UnimplementedTensorboardServiceServer) DeleteTensorboard
func (*UnimplementedTensorboardServiceServer) DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunning.Operation, error)
func (*UnimplementedTensorboardServiceServer) DeleteTensorboardExperiment
func (*UnimplementedTensorboardServiceServer) DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunning.Operation, error)
func (*UnimplementedTensorboardServiceServer) DeleteTensorboardRun
func (*UnimplementedTensorboardServiceServer) DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunning.Operation, error)
func (*UnimplementedTensorboardServiceServer) DeleteTensorboardTimeSeries
func (*UnimplementedTensorboardServiceServer) DeleteTensorboardTimeSeries(context.Context, *DeleteTensorboardTimeSeriesRequest) (*longrunning.Operation, error)
func (*UnimplementedTensorboardServiceServer) ExportTensorboardTimeSeriesData
func (*UnimplementedTensorboardServiceServer) ExportTensorboardTimeSeriesData(context.Context, *ExportTensorboardTimeSeriesDataRequest) (*ExportTensorboardTimeSeriesDataResponse, error)
func (*UnimplementedTensorboardServiceServer) GetTensorboard
func (*UnimplementedTensorboardServiceServer) GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error)
func (*UnimplementedTensorboardServiceServer) GetTensorboardExperiment
func (*UnimplementedTensorboardServiceServer) GetTensorboardExperiment(context.Context, *GetTensorboardExperimentRequest) (*TensorboardExperiment, error)
func (*UnimplementedTensorboardServiceServer) GetTensorboardRun
func (*UnimplementedTensorboardServiceServer) GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error)
func (*UnimplementedTensorboardServiceServer) GetTensorboardTimeSeries
func (*UnimplementedTensorboardServiceServer) GetTensorboardTimeSeries(context.Context, *GetTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
func (*UnimplementedTensorboardServiceServer) ListTensorboardExperiments
func (*UnimplementedTensorboardServiceServer) ListTensorboardExperiments(context.Context, *ListTensorboardExperimentsRequest) (*ListTensorboardExperimentsResponse, error)
func (*UnimplementedTensorboardServiceServer) ListTensorboardRuns
func (*UnimplementedTensorboardServiceServer) ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error)
func (*UnimplementedTensorboardServiceServer) ListTensorboardTimeSeries
func (*UnimplementedTensorboardServiceServer) ListTensorboardTimeSeries(context.Context, *ListTensorboardTimeSeriesRequest) (*ListTensorboardTimeSeriesResponse, error)
func (*UnimplementedTensorboardServiceServer) ListTensorboards
func (*UnimplementedTensorboardServiceServer) ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error)
func (*UnimplementedTensorboardServiceServer) ReadTensorboardBlobData
func (*UnimplementedTensorboardServiceServer) ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error
func (*UnimplementedTensorboardServiceServer) ReadTensorboardTimeSeriesData
func (*UnimplementedTensorboardServiceServer) ReadTensorboardTimeSeriesData(context.Context, *ReadTensorboardTimeSeriesDataRequest) (*ReadTensorboardTimeSeriesDataResponse, error)
func (*UnimplementedTensorboardServiceServer) ReadTensorboardUsage
func (*UnimplementedTensorboardServiceServer) ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error)
func (*UnimplementedTensorboardServiceServer) UpdateTensorboard
func (*UnimplementedTensorboardServiceServer) UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunning.Operation, error)
func (*UnimplementedTensorboardServiceServer) UpdateTensorboardExperiment
func (*UnimplementedTensorboardServiceServer) UpdateTensorboardExperiment(context.Context, *UpdateTensorboardExperimentRequest) (*TensorboardExperiment, error)
func (*UnimplementedTensorboardServiceServer) UpdateTensorboardRun
func (*UnimplementedTensorboardServiceServer) UpdateTensorboardRun(context.Context, *UpdateTensorboardRunRequest) (*TensorboardRun, error)
func (*UnimplementedTensorboardServiceServer) UpdateTensorboardTimeSeries
func (*UnimplementedTensorboardServiceServer) UpdateTensorboardTimeSeries(context.Context, *UpdateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
func (*UnimplementedTensorboardServiceServer) WriteTensorboardExperimentData
func (*UnimplementedTensorboardServiceServer) WriteTensorboardExperimentData(context.Context, *WriteTensorboardExperimentDataRequest) (*WriteTensorboardExperimentDataResponse, error)
func (*UnimplementedTensorboardServiceServer) WriteTensorboardRunData
func (*UnimplementedTensorboardServiceServer) WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error)
UnimplementedVizierServiceServer
type UnimplementedVizierServiceServer struct {
}
UnimplementedVizierServiceServer can be embedded to have forward compatible implementations.
func (*UnimplementedVizierServiceServer) AddTrialMeasurement
func (*UnimplementedVizierServiceServer) AddTrialMeasurement(context.Context, *AddTrialMeasurementRequest) (*Trial, error)
func (*UnimplementedVizierServiceServer) CheckTrialEarlyStoppingState
func (*UnimplementedVizierServiceServer) CheckTrialEarlyStoppingState(context.Context, *CheckTrialEarlyStoppingStateRequest) (*longrunning.Operation, error)
func (*UnimplementedVizierServiceServer) CompleteTrial
func (*UnimplementedVizierServiceServer) CompleteTrial(context.Context, *CompleteTrialRequest) (*Trial, error)
func (*UnimplementedVizierServiceServer) CreateStudy
func (*UnimplementedVizierServiceServer) CreateStudy(context.Context, *CreateStudyRequest) (*Study, error)
func (*UnimplementedVizierServiceServer) CreateTrial
func (*UnimplementedVizierServiceServer) CreateTrial(context.Context, *CreateTrialRequest) (*Trial, error)
func (*UnimplementedVizierServiceServer) DeleteStudy
func (*UnimplementedVizierServiceServer) DeleteStudy(context.Context, *DeleteStudyRequest) (*emptypb.Empty, error)
func (*UnimplementedVizierServiceServer) DeleteTrial
func (*UnimplementedVizierServiceServer) DeleteTrial(context.Context, *DeleteTrialRequest) (*emptypb.Empty, error)
func (*UnimplementedVizierServiceServer) GetStudy
func (*UnimplementedVizierServiceServer) GetStudy(context.Context, *GetStudyRequest) (*Study, error)
func (*UnimplementedVizierServiceServer) GetTrial
func (*UnimplementedVizierServiceServer) GetTrial(context.Context, *GetTrialRequest) (*Trial, error)
func (*UnimplementedVizierServiceServer) ListOptimalTrials
func (*UnimplementedVizierServiceServer) ListOptimalTrials(context.Context, *ListOptimalTrialsRequest) (*ListOptimalTrialsResponse, error)
func (*UnimplementedVizierServiceServer) ListStudies
func (*UnimplementedVizierServiceServer) ListStudies(context.Context, *ListStudiesRequest) (*ListStudiesResponse, error)
func (*UnimplementedVizierServiceServer) ListTrials
func (*UnimplementedVizierServiceServer) ListTrials(context.Context, *ListTrialsRequest) (*ListTrialsResponse, error)
func (*UnimplementedVizierServiceServer) LookupStudy
func (*UnimplementedVizierServiceServer) LookupStudy(context.Context, *LookupStudyRequest) (*Study, error)
func (*UnimplementedVizierServiceServer) StopTrial
func (*UnimplementedVizierServiceServer) StopTrial(context.Context, *StopTrialRequest) (*Trial, error)
func (*UnimplementedVizierServiceServer) SuggestTrials
func (*UnimplementedVizierServiceServer) SuggestTrials(context.Context, *SuggestTrialsRequest) (*longrunning.Operation, error)
UnmanagedContainerModel
type UnmanagedContainerModel struct {
// The path to the directory containing the Model artifact and any of its
// supporting files.
ArtifactUri string `protobuf:"bytes,1,opt,name=artifact_uri,json=artifactUri,proto3" json:"artifact_uri,omitempty"`
// Contains the schemata used in Model's predictions and explanations
PredictSchemata *PredictSchemata `protobuf:"bytes,2,opt,name=predict_schemata,json=predictSchemata,proto3" json:"predict_schemata,omitempty"`
// Input only. The specification of the container that is to be used when
// deploying this Model.
ContainerSpec *ModelContainerSpec `protobuf:"bytes,3,opt,name=container_spec,json=containerSpec,proto3" json:"container_spec,omitempty"`
// contains filtered or unexported fields
}
Contains model information necessary to perform batch prediction without requiring a full model import.
func (*UnmanagedContainerModel) Descriptor
func (*UnmanagedContainerModel) Descriptor() ([]byte, []int)
Deprecated: Use UnmanagedContainerModel.ProtoReflect.Descriptor instead.
func (*UnmanagedContainerModel) GetArtifactUri
func (x *UnmanagedContainerModel) GetArtifactUri() string
func (*UnmanagedContainerModel) GetContainerSpec
func (x *UnmanagedContainerModel) GetContainerSpec() *ModelContainerSpec
func (*UnmanagedContainerModel) GetPredictSchemata
func (x *UnmanagedContainerModel) GetPredictSchemata() *PredictSchemata
func (*UnmanagedContainerModel) ProtoMessage
func (*UnmanagedContainerModel) ProtoMessage()
func (*UnmanagedContainerModel) ProtoReflect
func (x *UnmanagedContainerModel) ProtoReflect() protoreflect.Message
func (*UnmanagedContainerModel) Reset
func (x *UnmanagedContainerModel) Reset()
func (*UnmanagedContainerModel) String
func (x *UnmanagedContainerModel) String() string
UpdateArtifactRequest
type UpdateArtifactRequest struct {
// Required. The Artifact containing updates.
// The Artifact's [Artifact.name][google.cloud.aiplatform.v1.Artifact.name]
// field is used to identify the Artifact to be updated. Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`
Artifact *Artifact `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
// Optional. A FieldMask indicating which fields should be updated.
// Functionality of this field is not yet supported.
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// If set to true, and the [Artifact][google.cloud.aiplatform.v1.Artifact] is
// not found, a new [Artifact][google.cloud.aiplatform.v1.Artifact] is
// created.
AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
func (*UpdateArtifactRequest) Descriptor
func (*UpdateArtifactRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateArtifactRequest.ProtoReflect.Descriptor instead.
func (*UpdateArtifactRequest) GetAllowMissing
func (x *UpdateArtifactRequest) GetAllowMissing() bool
func (*UpdateArtifactRequest) GetArtifact
func (x *UpdateArtifactRequest) GetArtifact() *Artifact
func (*UpdateArtifactRequest) GetUpdateMask
func (x *UpdateArtifactRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateArtifactRequest) ProtoMessage
func (*UpdateArtifactRequest) ProtoMessage()
func (*UpdateArtifactRequest) ProtoReflect
func (x *UpdateArtifactRequest) ProtoReflect() protoreflect.Message
func (*UpdateArtifactRequest) Reset
func (x *UpdateArtifactRequest) Reset()
func (*UpdateArtifactRequest) String
func (x *UpdateArtifactRequest) String() string
UpdateContextRequest
type UpdateContextRequest struct {
// Required. The Context containing updates.
// The Context's [Context.name][google.cloud.aiplatform.v1.Context.name] field
// is used to identify the Context to be updated. Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`
Context *Context `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
// Optional. A FieldMask indicating which fields should be updated.
// Functionality of this field is not yet supported.
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// If set to true, and the [Context][google.cloud.aiplatform.v1.Context] is
// not found, a new [Context][google.cloud.aiplatform.v1.Context] is created.
AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
func (*UpdateContextRequest) Descriptor
func (*UpdateContextRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateContextRequest.ProtoReflect.Descriptor instead.
func (*UpdateContextRequest) GetAllowMissing
func (x *UpdateContextRequest) GetAllowMissing() bool
func (*UpdateContextRequest) GetContext
func (x *UpdateContextRequest) GetContext() *Context
func (*UpdateContextRequest) GetUpdateMask
func (x *UpdateContextRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateContextRequest) ProtoMessage
func (*UpdateContextRequest) ProtoMessage()
func (*UpdateContextRequest) ProtoReflect
func (x *UpdateContextRequest) ProtoReflect() protoreflect.Message
func (*UpdateContextRequest) Reset
func (x *UpdateContextRequest) Reset()
func (*UpdateContextRequest) String
func (x *UpdateContextRequest) String() string
UpdateDatasetRequest
type UpdateDatasetRequest struct {
// Required. The Dataset which replaces the resource on the server.
Dataset *Dataset `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
// Required. The update mask applies to the resource.
// For the `FieldMask` definition, see
// [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
//
// * `display_name`
// * `description`
// * `labels`
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
func (*UpdateDatasetRequest) Descriptor
func (*UpdateDatasetRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateDatasetRequest.ProtoReflect.Descriptor instead.
func (*UpdateDatasetRequest) GetDataset
func (x *UpdateDatasetRequest) GetDataset() *Dataset
func (*UpdateDatasetRequest) GetUpdateMask
func (x *UpdateDatasetRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateDatasetRequest) ProtoMessage
func (*UpdateDatasetRequest) ProtoMessage()
func (*UpdateDatasetRequest) ProtoReflect
func (x *UpdateDatasetRequest) ProtoReflect() protoreflect.Message
func (*UpdateDatasetRequest) Reset
func (x *UpdateDatasetRequest) Reset()
func (*UpdateDatasetRequest) String
func (x *UpdateDatasetRequest) String() string
UpdateEndpointRequest
type UpdateEndpointRequest struct {
// Required. The Endpoint which replaces the resource on the server.
Endpoint *Endpoint `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
// Required. The update mask applies to the resource. See
// [google.protobuf.FieldMask][google.protobuf.FieldMask].
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
func (*UpdateEndpointRequest) Descriptor
func (*UpdateEndpointRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateEndpointRequest.ProtoReflect.Descriptor instead.
func (*UpdateEndpointRequest) GetEndpoint
func (x *UpdateEndpointRequest) GetEndpoint() *Endpoint
func (*UpdateEndpointRequest) GetUpdateMask
func (x *UpdateEndpointRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateEndpointRequest) ProtoMessage
func (*UpdateEndpointRequest) ProtoMessage()
func (*UpdateEndpointRequest) ProtoReflect
func (x *UpdateEndpointRequest) ProtoReflect() protoreflect.Message
func (*UpdateEndpointRequest) Reset
func (x *UpdateEndpointRequest) Reset()
func (*UpdateEndpointRequest) String
func (x *UpdateEndpointRequest) String() string
UpdateEntityTypeRequest
type UpdateEntityTypeRequest struct {
// Required. The EntityType's `name` field is used to identify the EntityType
// to be updated. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
EntityType *EntityType `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Field mask is used to specify the fields to be overwritten in the
// EntityType resource by the update.
// The fields specified in the update_mask are relative to the resource, not
// the full request. A field will be overwritten if it is in the mask. If the
// user does not provide a mask then only the non-empty fields present in the
// request will be overwritten. Set the update_mask to `*` to override all
// fields.
//
// Updatable fields:
//
// * `description`
// * `labels`
// * `monitoring_config.snapshot_analysis.disabled`
// * `monitoring_config.snapshot_analysis.monitoring_interval_days`
// * `monitoring_config.snapshot_analysis.staleness_days`
// * `monitoring_config.import_features_analysis.state`
// * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
// * `monitoring_config.numerical_threshold_config.value`
// * `monitoring_config.categorical_threshold_config.value`
// * `offline_storage_ttl_days` (available in Preview)
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
func (*UpdateEntityTypeRequest) Descriptor
func (*UpdateEntityTypeRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateEntityTypeRequest.ProtoReflect.Descriptor instead.
func (*UpdateEntityTypeRequest) GetEntityType
func (x *UpdateEntityTypeRequest) GetEntityType() *EntityType
func (*UpdateEntityTypeRequest) GetUpdateMask
func (x *UpdateEntityTypeRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateEntityTypeRequest) ProtoMessage
func (*UpdateEntityTypeRequest) ProtoMessage()
func (*UpdateEntityTypeRequest) ProtoReflect
func (x *UpdateEntityTypeRequest) ProtoReflect() protoreflect.Message
func (*UpdateEntityTypeRequest) Reset
func (x *UpdateEntityTypeRequest) Reset()
func (*UpdateEntityTypeRequest) String
func (x *UpdateEntityTypeRequest) String() string
UpdateExecutionRequest
type UpdateExecutionRequest struct {
// Required. The Execution containing updates.
// The Execution's [Execution.name][google.cloud.aiplatform.v1.Execution.name]
// field is used to identify the Execution to be updated. Format:
// `projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`
Execution *Execution `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
// Optional. A FieldMask indicating which fields should be updated.
// Functionality of this field is not yet supported.
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// If set to true, and the [Execution][google.cloud.aiplatform.v1.Execution]
// is not found, a new [Execution][google.cloud.aiplatform.v1.Execution] is
// created.
AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
// contains filtered or unexported fields
}
Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
func (*UpdateExecutionRequest) Descriptor
func (*UpdateExecutionRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateExecutionRequest.ProtoReflect.Descriptor instead.
func (*UpdateExecutionRequest) GetAllowMissing
func (x *UpdateExecutionRequest) GetAllowMissing() bool
func (*UpdateExecutionRequest) GetExecution
func (x *UpdateExecutionRequest) GetExecution() *Execution
func (*UpdateExecutionRequest) GetUpdateMask
func (x *UpdateExecutionRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateExecutionRequest) ProtoMessage
func (*UpdateExecutionRequest) ProtoMessage()
func (*UpdateExecutionRequest) ProtoReflect
func (x *UpdateExecutionRequest) ProtoReflect() protoreflect.Message
func (*UpdateExecutionRequest) Reset
func (x *UpdateExecutionRequest) Reset()
func (*UpdateExecutionRequest) String
func (x *UpdateExecutionRequest) String() string
UpdateFeatureRequest
type UpdateFeatureRequest struct {
// Required. The Feature's `name` field is used to identify the Feature to be
// updated.
// Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
Feature *Feature `protobuf:"bytes,1,opt,name=feature,proto3" json:"feature,omitempty"`
// Field mask is used to specify the fields to be overwritten in the
// Features resource by the update.
// The fields specified in the update_mask are relative to the resource, not
// the full request. A field will be overwritten if it is in the mask. If the
// user does not provide a mask then only the non-empty fields present in the
// request will be overwritten. Set the update_mask to `*` to override all
// fields.
//
// Updatable fields:
//
// * `description`
// * `labels`
// * `disable_monitoring`
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
func (*UpdateFeatureRequest) Descriptor
func (*UpdateFeatureRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateFeatureRequest.ProtoReflect.Descriptor instead.
func (*UpdateFeatureRequest) GetFeature
func (x *UpdateFeatureRequest) GetFeature() *Feature
func (*UpdateFeatureRequest) GetUpdateMask
func (x *UpdateFeatureRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateFeatureRequest) ProtoMessage
func (*UpdateFeatureRequest) ProtoMessage()
func (*UpdateFeatureRequest) ProtoReflect
func (x *UpdateFeatureRequest) ProtoReflect() protoreflect.Message
func (*UpdateFeatureRequest) Reset
func (x *UpdateFeatureRequest) Reset()
func (*UpdateFeatureRequest) String
func (x *UpdateFeatureRequest) String() string
UpdateFeaturestoreOperationMetadata
type UpdateFeaturestoreOperationMetadata struct {
// Operation metadata for Featurestore.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform update Featurestore.
func (*UpdateFeaturestoreOperationMetadata) Descriptor
func (*UpdateFeaturestoreOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use UpdateFeaturestoreOperationMetadata.ProtoReflect.Descriptor instead.
func (*UpdateFeaturestoreOperationMetadata) GetGenericMetadata
func (x *UpdateFeaturestoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*UpdateFeaturestoreOperationMetadata) ProtoMessage
func (*UpdateFeaturestoreOperationMetadata) ProtoMessage()
func (*UpdateFeaturestoreOperationMetadata) ProtoReflect
func (x *UpdateFeaturestoreOperationMetadata) ProtoReflect() protoreflect.Message
func (*UpdateFeaturestoreOperationMetadata) Reset
func (x *UpdateFeaturestoreOperationMetadata) Reset()
func (*UpdateFeaturestoreOperationMetadata) String
func (x *UpdateFeaturestoreOperationMetadata) String() string
UpdateFeaturestoreRequest
type UpdateFeaturestoreRequest struct {
// Required. The Featurestore's `name` field is used to identify the
// Featurestore to be updated. Format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}`
Featurestore *Featurestore `protobuf:"bytes,1,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
// Field mask is used to specify the fields to be overwritten in the
// Featurestore resource by the update.
// The fields specified in the update_mask are relative to the resource, not
// the full request. A field will be overwritten if it is in the mask. If the
// user does not provide a mask then only the non-empty fields present in the
// request will be overwritten. Set the update_mask to `*` to override all
// fields.
//
// Updatable fields:
//
// * `labels`
// * `online_serving_config.fixed_node_count`
// * `online_serving_config.scaling`
// * `online_storage_ttl_days` (available in Preview)
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
func (*UpdateFeaturestoreRequest) Descriptor
func (*UpdateFeaturestoreRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateFeaturestoreRequest.ProtoReflect.Descriptor instead.
func (*UpdateFeaturestoreRequest) GetFeaturestore
func (x *UpdateFeaturestoreRequest) GetFeaturestore() *Featurestore
func (*UpdateFeaturestoreRequest) GetUpdateMask
func (x *UpdateFeaturestoreRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateFeaturestoreRequest) ProtoMessage
func (*UpdateFeaturestoreRequest) ProtoMessage()
func (*UpdateFeaturestoreRequest) ProtoReflect
func (x *UpdateFeaturestoreRequest) ProtoReflect() protoreflect.Message
func (*UpdateFeaturestoreRequest) Reset
func (x *UpdateFeaturestoreRequest) Reset()
func (*UpdateFeaturestoreRequest) String
func (x *UpdateFeaturestoreRequest) String() string
UpdateIndexEndpointRequest
type UpdateIndexEndpointRequest struct {
// Required. The IndexEndpoint which replaces the resource on the server.
IndexEndpoint *IndexEndpoint `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
// Required. The update mask applies to the resource. See
// [google.protobuf.FieldMask][google.protobuf.FieldMask].
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
func (*UpdateIndexEndpointRequest) Descriptor
func (*UpdateIndexEndpointRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateIndexEndpointRequest.ProtoReflect.Descriptor instead.
func (*UpdateIndexEndpointRequest) GetIndexEndpoint
func (x *UpdateIndexEndpointRequest) GetIndexEndpoint() *IndexEndpoint
func (*UpdateIndexEndpointRequest) GetUpdateMask
func (x *UpdateIndexEndpointRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateIndexEndpointRequest) ProtoMessage
func (*UpdateIndexEndpointRequest) ProtoMessage()
func (*UpdateIndexEndpointRequest) ProtoReflect
func (x *UpdateIndexEndpointRequest) ProtoReflect() protoreflect.Message
func (*UpdateIndexEndpointRequest) Reset
func (x *UpdateIndexEndpointRequest) Reset()
func (*UpdateIndexEndpointRequest) String
func (x *UpdateIndexEndpointRequest) String() string
UpdateIndexOperationMetadata
type UpdateIndexOperationMetadata struct {
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
NearestNeighborSearchOperationMetadata *NearestNeighborSearchOperationMetadata "" /* 181 byte string literal not displayed */
}
Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
func (*UpdateIndexOperationMetadata) Descriptor
func (*UpdateIndexOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use UpdateIndexOperationMetadata.ProtoReflect.Descriptor instead.
func (*UpdateIndexOperationMetadata) GetGenericMetadata
func (x *UpdateIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*UpdateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata
func (x *UpdateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata() *NearestNeighborSearchOperationMetadata
func (*UpdateIndexOperationMetadata) ProtoMessage
func (*UpdateIndexOperationMetadata) ProtoMessage()
func (*UpdateIndexOperationMetadata) ProtoReflect
func (x *UpdateIndexOperationMetadata) ProtoReflect() protoreflect.Message
func (*UpdateIndexOperationMetadata) Reset
func (x *UpdateIndexOperationMetadata) Reset()
func (*UpdateIndexOperationMetadata) String
func (x *UpdateIndexOperationMetadata) String() string
UpdateIndexRequest
type UpdateIndexRequest struct {
// Required. The Index which updates the resource on the server.
Index *Index `protobuf:"bytes,1,opt,name=index,proto3" json:"index,omitempty"`
// The update mask applies to the resource.
// For the `FieldMask` definition, see
// [google.protobuf.FieldMask][google.protobuf.FieldMask].
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
func (*UpdateIndexRequest) Descriptor
func (*UpdateIndexRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateIndexRequest.ProtoReflect.Descriptor instead.
func (*UpdateIndexRequest) GetIndex
func (x *UpdateIndexRequest) GetIndex() *Index
func (*UpdateIndexRequest) GetUpdateMask
func (x *UpdateIndexRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateIndexRequest) ProtoMessage
func (*UpdateIndexRequest) ProtoMessage()
func (*UpdateIndexRequest) ProtoReflect
func (x *UpdateIndexRequest) ProtoReflect() protoreflect.Message
func (*UpdateIndexRequest) Reset
func (x *UpdateIndexRequest) Reset()
func (*UpdateIndexRequest) String
func (x *UpdateIndexRequest) String() string
UpdateModelDeploymentMonitoringJobOperationMetadata
type UpdateModelDeploymentMonitoringJobOperationMetadata struct {
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Runtime operation information for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Descriptor
func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use UpdateModelDeploymentMonitoringJobOperationMetadata.ProtoReflect.Descriptor instead.
func (*UpdateModelDeploymentMonitoringJobOperationMetadata) GetGenericMetadata
func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoMessage
func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoMessage()
func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoReflect
func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoReflect() protoreflect.Message
func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Reset
func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) Reset()
func (*UpdateModelDeploymentMonitoringJobOperationMetadata) String
func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) String() string
UpdateModelDeploymentMonitoringJobRequest
type UpdateModelDeploymentMonitoringJobRequest struct {
ModelDeploymentMonitoringJob *ModelDeploymentMonitoringJob "" /* 149 byte string literal not displayed */
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
}
Request message for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
func (*UpdateModelDeploymentMonitoringJobRequest) Descriptor
func (*UpdateModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*UpdateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob
func (x *UpdateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob() *ModelDeploymentMonitoringJob
func (*UpdateModelDeploymentMonitoringJobRequest) GetUpdateMask
func (x *UpdateModelDeploymentMonitoringJobRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateModelDeploymentMonitoringJobRequest) ProtoMessage
func (*UpdateModelDeploymentMonitoringJobRequest) ProtoMessage()
func (*UpdateModelDeploymentMonitoringJobRequest) ProtoReflect
func (x *UpdateModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message
func (*UpdateModelDeploymentMonitoringJobRequest) Reset
func (x *UpdateModelDeploymentMonitoringJobRequest) Reset()
func (*UpdateModelDeploymentMonitoringJobRequest) String
func (x *UpdateModelDeploymentMonitoringJobRequest) String() string
UpdateModelRequest
type UpdateModelRequest struct {
// Required. The Model which replaces the resource on the server.
// When Model Versioning is enabled, the model.name will be used to determine
// whether to update the model or model version.
// 1. model.name with the @ value, e.g. models/123@1, refers to a version
// specific update.
// 2. model.name without the @ value, e.g. models/123, refers to a model
// update.
// 3. model.name with @-, e.g. models/123@-, refers to a model update.
// 4. Supported model fields: display_name, description; supported
// version-specific fields: version_description. Labels are supported in both
// scenarios. Both the model labels and the version labels are merged when a
// model is returned. When updating labels, if the request is for
// model-specific update, model label gets updated. Otherwise, version labels
// get updated.
// 5. A model name or model version name fields update mismatch will cause a
// precondition error.
// 6. One request cannot update both the model and the version fields. You
// must update them separately.
Model *Model `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
// Required. The update mask applies to the resource.
// For the `FieldMask` definition, see
// [google.protobuf.FieldMask][google.protobuf.FieldMask].
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
func (*UpdateModelRequest) Descriptor
func (*UpdateModelRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateModelRequest.ProtoReflect.Descriptor instead.
func (*UpdateModelRequest) GetModel
func (x *UpdateModelRequest) GetModel() *Model
func (*UpdateModelRequest) GetUpdateMask
func (x *UpdateModelRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateModelRequest) ProtoMessage
func (*UpdateModelRequest) ProtoMessage()
func (*UpdateModelRequest) ProtoReflect
func (x *UpdateModelRequest) ProtoReflect() protoreflect.Message
func (*UpdateModelRequest) Reset
func (x *UpdateModelRequest) Reset()
func (*UpdateModelRequest) String
func (x *UpdateModelRequest) String() string
UpdateSpecialistPoolOperationMetadata
type UpdateSpecialistPoolOperationMetadata struct {
// Output only. The name of the SpecialistPool to which the specialists are
// being added. Format:
// `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
SpecialistPool string `protobuf:"bytes,1,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
// The operation generic information.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,2,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Runtime operation metadata for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
func (*UpdateSpecialistPoolOperationMetadata) Descriptor
func (*UpdateSpecialistPoolOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use UpdateSpecialistPoolOperationMetadata.ProtoReflect.Descriptor instead.
func (*UpdateSpecialistPoolOperationMetadata) GetGenericMetadata
func (x *UpdateSpecialistPoolOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*UpdateSpecialistPoolOperationMetadata) GetSpecialistPool
func (x *UpdateSpecialistPoolOperationMetadata) GetSpecialistPool() string
func (*UpdateSpecialistPoolOperationMetadata) ProtoMessage
func (*UpdateSpecialistPoolOperationMetadata) ProtoMessage()
func (*UpdateSpecialistPoolOperationMetadata) ProtoReflect
func (x *UpdateSpecialistPoolOperationMetadata) ProtoReflect() protoreflect.Message
func (*UpdateSpecialistPoolOperationMetadata) Reset
func (x *UpdateSpecialistPoolOperationMetadata) Reset()
func (*UpdateSpecialistPoolOperationMetadata) String
func (x *UpdateSpecialistPoolOperationMetadata) String() string
UpdateSpecialistPoolRequest
type UpdateSpecialistPoolRequest struct {
// Required. The SpecialistPool which replaces the resource on the server.
SpecialistPool *SpecialistPool `protobuf:"bytes,1,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
// Required. The update mask applies to the resource.
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// contains filtered or unexported fields
}
Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
func (*UpdateSpecialistPoolRequest) Descriptor
func (*UpdateSpecialistPoolRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateSpecialistPoolRequest.ProtoReflect.Descriptor instead.
func (*UpdateSpecialistPoolRequest) GetSpecialistPool
func (x *UpdateSpecialistPoolRequest) GetSpecialistPool() *SpecialistPool
func (*UpdateSpecialistPoolRequest) GetUpdateMask
func (x *UpdateSpecialistPoolRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateSpecialistPoolRequest) ProtoMessage
func (*UpdateSpecialistPoolRequest) ProtoMessage()
func (*UpdateSpecialistPoolRequest) ProtoReflect
func (x *UpdateSpecialistPoolRequest) ProtoReflect() protoreflect.Message
func (*UpdateSpecialistPoolRequest) Reset
func (x *UpdateSpecialistPoolRequest) Reset()
func (*UpdateSpecialistPoolRequest) String
func (x *UpdateSpecialistPoolRequest) String() string
UpdateTensorboardExperimentRequest
type UpdateTensorboardExperimentRequest struct {
// Required. Field mask is used to specify the fields to be overwritten in the
// TensorboardExperiment resource by the update.
// The fields specified in the update_mask are relative to the resource, not
// the full request. A field is overwritten if it's in the mask. If the
// user does not provide a mask then all fields are overwritten if new
// values are specified.
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// Required. The TensorboardExperiment's `name` field is used to identify the
// TensorboardExperiment to be updated. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
func (*UpdateTensorboardExperimentRequest) Descriptor
func (*UpdateTensorboardExperimentRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateTensorboardExperimentRequest.ProtoReflect.Descriptor instead.
func (*UpdateTensorboardExperimentRequest) GetTensorboardExperiment
func (x *UpdateTensorboardExperimentRequest) GetTensorboardExperiment() *TensorboardExperiment
func (*UpdateTensorboardExperimentRequest) GetUpdateMask
func (x *UpdateTensorboardExperimentRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateTensorboardExperimentRequest) ProtoMessage
func (*UpdateTensorboardExperimentRequest) ProtoMessage()
func (*UpdateTensorboardExperimentRequest) ProtoReflect
func (x *UpdateTensorboardExperimentRequest) ProtoReflect() protoreflect.Message
func (*UpdateTensorboardExperimentRequest) Reset
func (x *UpdateTensorboardExperimentRequest) Reset()
func (*UpdateTensorboardExperimentRequest) String
func (x *UpdateTensorboardExperimentRequest) String() string
UpdateTensorboardOperationMetadata
type UpdateTensorboardOperationMetadata struct {
// Operation metadata for Tensorboard.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of operations that perform update Tensorboard.
func (*UpdateTensorboardOperationMetadata) Descriptor
func (*UpdateTensorboardOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use UpdateTensorboardOperationMetadata.ProtoReflect.Descriptor instead.
func (*UpdateTensorboardOperationMetadata) GetGenericMetadata
func (x *UpdateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*UpdateTensorboardOperationMetadata) ProtoMessage
func (*UpdateTensorboardOperationMetadata) ProtoMessage()
func (*UpdateTensorboardOperationMetadata) ProtoReflect
func (x *UpdateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message
func (*UpdateTensorboardOperationMetadata) Reset
func (x *UpdateTensorboardOperationMetadata) Reset()
func (*UpdateTensorboardOperationMetadata) String
func (x *UpdateTensorboardOperationMetadata) String() string
UpdateTensorboardRequest
type UpdateTensorboardRequest struct {
// Required. Field mask is used to specify the fields to be overwritten in the
// Tensorboard resource by the update.
// The fields specified in the update_mask are relative to the resource, not
// the full request. A field is overwritten if it's in the mask. If the
// user does not provide a mask then all fields are overwritten if new
// values are specified.
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// Required. The Tensorboard's `name` field is used to identify the
// Tensorboard to be updated. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
func (*UpdateTensorboardRequest) Descriptor
func (*UpdateTensorboardRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateTensorboardRequest.ProtoReflect.Descriptor instead.
func (*UpdateTensorboardRequest) GetTensorboard
func (x *UpdateTensorboardRequest) GetTensorboard() *Tensorboard
func (*UpdateTensorboardRequest) GetUpdateMask
func (x *UpdateTensorboardRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateTensorboardRequest) ProtoMessage
func (*UpdateTensorboardRequest) ProtoMessage()
func (*UpdateTensorboardRequest) ProtoReflect
func (x *UpdateTensorboardRequest) ProtoReflect() protoreflect.Message
func (*UpdateTensorboardRequest) Reset
func (x *UpdateTensorboardRequest) Reset()
func (*UpdateTensorboardRequest) String
func (x *UpdateTensorboardRequest) String() string
UpdateTensorboardRunRequest
type UpdateTensorboardRunRequest struct {
// Required. Field mask is used to specify the fields to be overwritten in the
// TensorboardRun resource by the update.
// The fields specified in the update_mask are relative to the resource, not
// the full request. A field is overwritten if it's in the mask. If the
// user does not provide a mask then all fields are overwritten if new
// values are specified.
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// Required. The TensorboardRun's `name` field is used to identify the
// TensorboardRun to be updated. Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
func (*UpdateTensorboardRunRequest) Descriptor
func (*UpdateTensorboardRunRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateTensorboardRunRequest.ProtoReflect.Descriptor instead.
func (*UpdateTensorboardRunRequest) GetTensorboardRun
func (x *UpdateTensorboardRunRequest) GetTensorboardRun() *TensorboardRun
func (*UpdateTensorboardRunRequest) GetUpdateMask
func (x *UpdateTensorboardRunRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateTensorboardRunRequest) ProtoMessage
func (*UpdateTensorboardRunRequest) ProtoMessage()
func (*UpdateTensorboardRunRequest) ProtoReflect
func (x *UpdateTensorboardRunRequest) ProtoReflect() protoreflect.Message
func (*UpdateTensorboardRunRequest) Reset
func (x *UpdateTensorboardRunRequest) Reset()
func (*UpdateTensorboardRunRequest) String
func (x *UpdateTensorboardRunRequest) String() string
UpdateTensorboardTimeSeriesRequest
type UpdateTensorboardTimeSeriesRequest struct {
// Required. Field mask is used to specify the fields to be overwritten in the
// TensorboardTimeSeries resource by the update.
// The fields specified in the update_mask are relative to the resource, not
// the full request. A field is overwritten if it's in the mask. If the
// user does not provide a mask then all fields are overwritten if new
// values are specified.
UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
// Required. The TensorboardTimeSeries' `name` field is used to identify the
// TensorboardTimeSeries to be updated.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
TensorboardTimeSeries *TensorboardTimeSeries `protobuf:"bytes,2,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
func (*UpdateTensorboardTimeSeriesRequest) Descriptor
func (*UpdateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpdateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
func (*UpdateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries
func (x *UpdateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries() *TensorboardTimeSeries
func (*UpdateTensorboardTimeSeriesRequest) GetUpdateMask
func (x *UpdateTensorboardTimeSeriesRequest) GetUpdateMask() *fieldmaskpb.FieldMask
func (*UpdateTensorboardTimeSeriesRequest) ProtoMessage
func (*UpdateTensorboardTimeSeriesRequest) ProtoMessage()
func (*UpdateTensorboardTimeSeriesRequest) ProtoReflect
func (x *UpdateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message
func (*UpdateTensorboardTimeSeriesRequest) Reset
func (x *UpdateTensorboardTimeSeriesRequest) Reset()
func (*UpdateTensorboardTimeSeriesRequest) String
func (x *UpdateTensorboardTimeSeriesRequest) String() string
UploadModelOperationMetadata
type UploadModelOperationMetadata struct {
// The common part of the operation metadata.
GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
// contains filtered or unexported fields
}
Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
func (*UploadModelOperationMetadata) Descriptor
func (*UploadModelOperationMetadata) Descriptor() ([]byte, []int)
Deprecated: Use UploadModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*UploadModelOperationMetadata) GetGenericMetadata
func (x *UploadModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata
func (*UploadModelOperationMetadata) ProtoMessage
func (*UploadModelOperationMetadata) ProtoMessage()
func (*UploadModelOperationMetadata) ProtoReflect
func (x *UploadModelOperationMetadata) ProtoReflect() protoreflect.Message
func (*UploadModelOperationMetadata) Reset
func (x *UploadModelOperationMetadata) Reset()
func (*UploadModelOperationMetadata) String
func (x *UploadModelOperationMetadata) String() string
UploadModelRequest
type UploadModelRequest struct {
// Required. The resource name of the Location into which to upload the Model.
// Format: `projects/{project}/locations/{location}`
Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
// Optional. The resource name of the model into which to upload the version.
// Only specify this field when uploading a new version.
ParentModel string `protobuf:"bytes,4,opt,name=parent_model,json=parentModel,proto3" json:"parent_model,omitempty"`
// Optional. The ID to use for the uploaded Model, which will become the final
// component of the model resource name.
//
// This value may be up to 63 characters, and valid characters are
// `[a-z0-9_-]`. The first character cannot be a number or hyphen.
ModelId string `protobuf:"bytes,5,opt,name=model_id,json=modelId,proto3" json:"model_id,omitempty"`
// Required. The Model to create.
Model *Model `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
// Optional. The user-provided custom service account to use to do the model
// upload. If empty, [Vertex AI Service
// Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
// will be used. Users uploading the Model must have the
// `iam.serviceAccounts.actAs` permission on this service account. Also, this
// account must belong to the project specified in the `parent` field and have
// all necessary read permissions.
ServiceAccount string `protobuf:"bytes,6,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
// contains filtered or unexported fields
}
Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
func (*UploadModelRequest) Descriptor
func (*UploadModelRequest) Descriptor() ([]byte, []int)
Deprecated: Use UploadModelRequest.ProtoReflect.Descriptor instead.
func (*UploadModelRequest) GetModel
func (x *UploadModelRequest) GetModel() *Model
func (*UploadModelRequest) GetModelId
func (x *UploadModelRequest) GetModelId() string
func (*UploadModelRequest) GetParent
func (x *UploadModelRequest) GetParent() string
func (*UploadModelRequest) GetParentModel
func (x *UploadModelRequest) GetParentModel() string
func (*UploadModelRequest) GetServiceAccount
func (x *UploadModelRequest) GetServiceAccount() string
func (*UploadModelRequest) ProtoMessage
func (*UploadModelRequest) ProtoMessage()
func (*UploadModelRequest) ProtoReflect
func (x *UploadModelRequest) ProtoReflect() protoreflect.Message
func (*UploadModelRequest) Reset
func (x *UploadModelRequest) Reset()
func (*UploadModelRequest) String
func (x *UploadModelRequest) String() string
UploadModelResponse
type UploadModelResponse struct {
// The name of the uploaded Model resource.
// Format: `projects/{project}/locations/{location}/models/{model}`
Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
// Output only. The version ID of the model that is uploaded.
ModelVersionId string `protobuf:"bytes,2,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
// contains filtered or unexported fields
}
Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
func (*UploadModelResponse) Descriptor
func (*UploadModelResponse) Descriptor() ([]byte, []int)
Deprecated: Use UploadModelResponse.ProtoReflect.Descriptor instead.
func (*UploadModelResponse) GetModel
func (x *UploadModelResponse) GetModel() string
func (*UploadModelResponse) GetModelVersionId
func (x *UploadModelResponse) GetModelVersionId() string
func (*UploadModelResponse) ProtoMessage
func (*UploadModelResponse) ProtoMessage()
func (*UploadModelResponse) ProtoReflect
func (x *UploadModelResponse) ProtoReflect() protoreflect.Message
func (*UploadModelResponse) Reset
func (x *UploadModelResponse) Reset()
func (*UploadModelResponse) String
func (x *UploadModelResponse) String() string
UpsertDatapointsRequest
type UpsertDatapointsRequest struct {
// Required. The name of the Index resource to be updated.
// Format:
// `projects/{project}/locations/{location}/indexes/{index}`
Index string `protobuf:"bytes,1,opt,name=index,proto3" json:"index,omitempty"`
// A list of datapoints to be created/updated.
Datapoints []*IndexDatapoint `protobuf:"bytes,2,rep,name=datapoints,proto3" json:"datapoints,omitempty"`
// contains filtered or unexported fields
}
Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
func (*UpsertDatapointsRequest) Descriptor
func (*UpsertDatapointsRequest) Descriptor() ([]byte, []int)
Deprecated: Use UpsertDatapointsRequest.ProtoReflect.Descriptor instead.
func (*UpsertDatapointsRequest) GetDatapoints
func (x *UpsertDatapointsRequest) GetDatapoints() []*IndexDatapoint
func (*UpsertDatapointsRequest) GetIndex
func (x *UpsertDatapointsRequest) GetIndex() string
func (*UpsertDatapointsRequest) ProtoMessage
func (*UpsertDatapointsRequest) ProtoMessage()
func (*UpsertDatapointsRequest) ProtoReflect
func (x *UpsertDatapointsRequest) ProtoReflect() protoreflect.Message
func (*UpsertDatapointsRequest) Reset
func (x *UpsertDatapointsRequest) Reset()
func (*UpsertDatapointsRequest) String
func (x *UpsertDatapointsRequest) String() string
UpsertDatapointsResponse
type UpsertDatapointsResponse struct {
// contains filtered or unexported fields
}
Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
func (*UpsertDatapointsResponse) Descriptor
func (*UpsertDatapointsResponse) Descriptor() ([]byte, []int)
Deprecated: Use UpsertDatapointsResponse.ProtoReflect.Descriptor instead.
func (*UpsertDatapointsResponse) ProtoMessage
func (*UpsertDatapointsResponse) ProtoMessage()
func (*UpsertDatapointsResponse) ProtoReflect
func (x *UpsertDatapointsResponse) ProtoReflect() protoreflect.Message
func (*UpsertDatapointsResponse) Reset
func (x *UpsertDatapointsResponse) Reset()
func (*UpsertDatapointsResponse) String
func (x *UpsertDatapointsResponse) String() string
UserActionReference
type UserActionReference struct {
// Types that are assignable to Reference:
// *UserActionReference_Operation
// *UserActionReference_DataLabelingJob
Reference isUserActionReference_Reference `protobuf_oneof:"reference"`
// The method name of the API RPC call. For example,
// "/google.cloud.aiplatform.{apiVersion}.DatasetService.CreateDataset"
Method string `protobuf:"bytes,3,opt,name=method,proto3" json:"method,omitempty"`
// contains filtered or unexported fields
}
References an API call. It contains more information about long running operation and Jobs that are triggered by the API call.
func (*UserActionReference) Descriptor
func (*UserActionReference) Descriptor() ([]byte, []int)
Deprecated: Use UserActionReference.ProtoReflect.Descriptor instead.
func (*UserActionReference) GetDataLabelingJob
func (x *UserActionReference) GetDataLabelingJob() string
func (*UserActionReference) GetMethod
func (x *UserActionReference) GetMethod() string
func (*UserActionReference) GetOperation
func (x *UserActionReference) GetOperation() string
func (*UserActionReference) GetReference
func (m *UserActionReference) GetReference() isUserActionReference_Reference
func (*UserActionReference) ProtoMessage
func (*UserActionReference) ProtoMessage()
func (*UserActionReference) ProtoReflect
func (x *UserActionReference) ProtoReflect() protoreflect.Message
func (*UserActionReference) Reset
func (x *UserActionReference) Reset()
func (*UserActionReference) String
func (x *UserActionReference) String() string
UserActionReference_DataLabelingJob
type UserActionReference_DataLabelingJob struct {
// For API calls that start a LabelingJob.
// Resource name of the LabelingJob.
// Format:
// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
DataLabelingJob string `protobuf:"bytes,2,opt,name=data_labeling_job,json=dataLabelingJob,proto3,oneof"`
}
UserActionReference_Operation
type UserActionReference_Operation struct {
// For API calls that return a long running operation.
// Resource name of the long running operation.
// Format:
// `projects/{project}/locations/{location}/operations/{operation}`
Operation string `protobuf:"bytes,1,opt,name=operation,proto3,oneof"`
}
Value
type Value struct {
// Types that are assignable to Value:
// *Value_IntValue
// *Value_DoubleValue
// *Value_StringValue
Value isValue_Value `protobuf_oneof:"value"`
// contains filtered or unexported fields
}
Value is the value of the field.
func (*Value) Descriptor
Deprecated: Use Value.ProtoReflect.Descriptor instead.
func (*Value) GetDoubleValue
func (*Value) GetIntValue
func (*Value) GetStringValue
func (*Value) GetValue
func (m *Value) GetValue() isValue_Value
func (*Value) ProtoMessage
func (*Value) ProtoMessage()
func (*Value) ProtoReflect
func (x *Value) ProtoReflect() protoreflect.Message
func (*Value) Reset
func (x *Value) Reset()
func (*Value) String
Value_DoubleValue
type Value_DoubleValue struct {
// A double value.
DoubleValue float64 `protobuf:"fixed64,2,opt,name=double_value,json=doubleValue,proto3,oneof"`
}
Value_IntValue
type Value_IntValue struct {
// An integer value.
IntValue int64 `protobuf:"varint,1,opt,name=int_value,json=intValue,proto3,oneof"`
}
Value_StringValue
type Value_StringValue struct {
// A string value.
StringValue string `protobuf:"bytes,3,opt,name=string_value,json=stringValue,proto3,oneof"`
}
VizierServiceClient
type VizierServiceClient interface {
// Creates a Study. A resource name will be generated after creation of the
// Study.
CreateStudy(ctx context.Context, in *CreateStudyRequest, opts ...grpc.CallOption) (*Study, error)
// Gets a Study by name.
GetStudy(ctx context.Context, in *GetStudyRequest, opts ...grpc.CallOption) (*Study, error)
// Lists all the studies in a region for an associated project.
ListStudies(ctx context.Context, in *ListStudiesRequest, opts ...grpc.CallOption) (*ListStudiesResponse, error)
// Deletes a Study.
DeleteStudy(ctx context.Context, in *DeleteStudyRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
// Looks a study up using the user-defined display_name field instead of the
// fully qualified resource name.
LookupStudy(ctx context.Context, in *LookupStudyRequest, opts ...grpc.CallOption) (*Study, error)
// Adds one or more Trials to a Study, with parameter values
// suggested by Vertex AI Vizier. Returns a long-running
// operation associated with the generation of Trial suggestions.
// When this long-running operation succeeds, it will contain
// a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse].
SuggestTrials(ctx context.Context, in *SuggestTrialsRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Adds a user provided Trial to a Study.
CreateTrial(ctx context.Context, in *CreateTrialRequest, opts ...grpc.CallOption) (*Trial, error)
// Gets a Trial.
GetTrial(ctx context.Context, in *GetTrialRequest, opts ...grpc.CallOption) (*Trial, error)
// Lists the Trials associated with a Study.
ListTrials(ctx context.Context, in *ListTrialsRequest, opts ...grpc.CallOption) (*ListTrialsResponse, error)
// Adds a measurement of the objective metrics to a Trial. This measurement
// is assumed to have been taken before the Trial is complete.
AddTrialMeasurement(ctx context.Context, in *AddTrialMeasurementRequest, opts ...grpc.CallOption) (*Trial, error)
// Marks a Trial as complete.
CompleteTrial(ctx context.Context, in *CompleteTrialRequest, opts ...grpc.CallOption) (*Trial, error)
// Deletes a Trial.
DeleteTrial(ctx context.Context, in *DeleteTrialRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
// Checks whether a Trial should stop or not. Returns a
// long-running operation. When the operation is successful,
// it will contain a
// [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
CheckTrialEarlyStoppingState(ctx context.Context, in *CheckTrialEarlyStoppingStateRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
// Stops a Trial.
StopTrial(ctx context.Context, in *StopTrialRequest, opts ...grpc.CallOption) (*Trial, error)
// Lists the pareto-optimal Trials for multi-objective Study or the
// optimal Trials for single-objective Study. The definition of
// pareto-optimal can be checked in wiki page.
// https://en.wikipedia.org/wiki/Pareto_efficiency
ListOptimalTrials(ctx context.Context, in *ListOptimalTrialsRequest, opts ...grpc.CallOption) (*ListOptimalTrialsResponse, error)
}
VizierServiceClient is the client API for VizierService service.
For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
func NewVizierServiceClient
func NewVizierServiceClient(cc grpc.ClientConnInterface) VizierServiceClient
VizierServiceServer
type VizierServiceServer interface {
// Creates a Study. A resource name will be generated after creation of the
// Study.
CreateStudy(context.Context, *CreateStudyRequest) (*Study, error)
// Gets a Study by name.
GetStudy(context.Context, *GetStudyRequest) (*Study, error)
// Lists all the studies in a region for an associated project.
ListStudies(context.Context, *ListStudiesRequest) (*ListStudiesResponse, error)
// Deletes a Study.
DeleteStudy(context.Context, *DeleteStudyRequest) (*emptypb.Empty, error)
// Looks a study up using the user-defined display_name field instead of the
// fully qualified resource name.
LookupStudy(context.Context, *LookupStudyRequest) (*Study, error)
// Adds one or more Trials to a Study, with parameter values
// suggested by Vertex AI Vizier. Returns a long-running
// operation associated with the generation of Trial suggestions.
// When this long-running operation succeeds, it will contain
// a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse].
SuggestTrials(context.Context, *SuggestTrialsRequest) (*longrunning.Operation, error)
// Adds a user provided Trial to a Study.
CreateTrial(context.Context, *CreateTrialRequest) (*Trial, error)
// Gets a Trial.
GetTrial(context.Context, *GetTrialRequest) (*Trial, error)
// Lists the Trials associated with a Study.
ListTrials(context.Context, *ListTrialsRequest) (*ListTrialsResponse, error)
// Adds a measurement of the objective metrics to a Trial. This measurement
// is assumed to have been taken before the Trial is complete.
AddTrialMeasurement(context.Context, *AddTrialMeasurementRequest) (*Trial, error)
// Marks a Trial as complete.
CompleteTrial(context.Context, *CompleteTrialRequest) (*Trial, error)
// Deletes a Trial.
DeleteTrial(context.Context, *DeleteTrialRequest) (*emptypb.Empty, error)
// Checks whether a Trial should stop or not. Returns a
// long-running operation. When the operation is successful,
// it will contain a
// [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
CheckTrialEarlyStoppingState(context.Context, *CheckTrialEarlyStoppingStateRequest) (*longrunning.Operation, error)
// Stops a Trial.
StopTrial(context.Context, *StopTrialRequest) (*Trial, error)
// Lists the pareto-optimal Trials for multi-objective Study or the
// optimal Trials for single-objective Study. The definition of
// pareto-optimal can be checked in wiki page.
// https://en.wikipedia.org/wiki/Pareto_efficiency
ListOptimalTrials(context.Context, *ListOptimalTrialsRequest) (*ListOptimalTrialsResponse, error)
}
VizierServiceServer is the server API for VizierService service.
WorkerPoolSpec
type WorkerPoolSpec struct {
// The custom task to be executed in this worker pool.
//
// Types that are assignable to Task:
// *WorkerPoolSpec_ContainerSpec
// *WorkerPoolSpec_PythonPackageSpec
Task isWorkerPoolSpec_Task `protobuf_oneof:"task"`
// Optional. Immutable. The specification of a single machine.
MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
// Optional. The number of worker replicas to use for this worker pool.
ReplicaCount int64 `protobuf:"varint,2,opt,name=replica_count,json=replicaCount,proto3" json:"replica_count,omitempty"`
// Optional. List of NFS mount spec.
NfsMounts []*NfsMount `protobuf:"bytes,4,rep,name=nfs_mounts,json=nfsMounts,proto3" json:"nfs_mounts,omitempty"`
// Disk spec.
DiskSpec *DiskSpec `protobuf:"bytes,5,opt,name=disk_spec,json=diskSpec,proto3" json:"disk_spec,omitempty"`
// contains filtered or unexported fields
}
Represents the spec of a worker pool in a job.
func (*WorkerPoolSpec) Descriptor
func (*WorkerPoolSpec) Descriptor() ([]byte, []int)
Deprecated: Use WorkerPoolSpec.ProtoReflect.Descriptor instead.
func (*WorkerPoolSpec) GetContainerSpec
func (x *WorkerPoolSpec) GetContainerSpec() *ContainerSpec
func (*WorkerPoolSpec) GetDiskSpec
func (x *WorkerPoolSpec) GetDiskSpec() *DiskSpec
func (*WorkerPoolSpec) GetMachineSpec
func (x *WorkerPoolSpec) GetMachineSpec() *MachineSpec
func (*WorkerPoolSpec) GetNfsMounts
func (x *WorkerPoolSpec) GetNfsMounts() []*NfsMount
func (*WorkerPoolSpec) GetPythonPackageSpec
func (x *WorkerPoolSpec) GetPythonPackageSpec() *PythonPackageSpec
func (*WorkerPoolSpec) GetReplicaCount
func (x *WorkerPoolSpec) GetReplicaCount() int64
func (*WorkerPoolSpec) GetTask
func (m *WorkerPoolSpec) GetTask() isWorkerPoolSpec_Task
func (*WorkerPoolSpec) ProtoMessage
func (*WorkerPoolSpec) ProtoMessage()
func (*WorkerPoolSpec) ProtoReflect
func (x *WorkerPoolSpec) ProtoReflect() protoreflect.Message
func (*WorkerPoolSpec) Reset
func (x *WorkerPoolSpec) Reset()
func (*WorkerPoolSpec) String
func (x *WorkerPoolSpec) String() string
WorkerPoolSpec_ContainerSpec
type WorkerPoolSpec_ContainerSpec struct {
// The custom container task.
ContainerSpec *ContainerSpec `protobuf:"bytes,6,opt,name=container_spec,json=containerSpec,proto3,oneof"`
}
WorkerPoolSpec_PythonPackageSpec
type WorkerPoolSpec_PythonPackageSpec struct {
// The Python packaged task.
PythonPackageSpec *PythonPackageSpec `protobuf:"bytes,7,opt,name=python_package_spec,json=pythonPackageSpec,proto3,oneof"`
}
WriteFeatureValuesPayload
type WriteFeatureValuesPayload struct {
EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
FeatureValues map[string]*FeatureValue "" /* 188 byte string literal not displayed */
}
Contains Feature values to be written for a specific entity.
func (*WriteFeatureValuesPayload) Descriptor
func (*WriteFeatureValuesPayload) Descriptor() ([]byte, []int)
Deprecated: Use WriteFeatureValuesPayload.ProtoReflect.Descriptor instead.
func (*WriteFeatureValuesPayload) GetEntityId
func (x *WriteFeatureValuesPayload) GetEntityId() string
func (*WriteFeatureValuesPayload) GetFeatureValues
func (x *WriteFeatureValuesPayload) GetFeatureValues() map[string]*FeatureValue
func (*WriteFeatureValuesPayload) ProtoMessage
func (*WriteFeatureValuesPayload) ProtoMessage()
func (*WriteFeatureValuesPayload) ProtoReflect
func (x *WriteFeatureValuesPayload) ProtoReflect() protoreflect.Message
func (*WriteFeatureValuesPayload) Reset
func (x *WriteFeatureValuesPayload) Reset()
func (*WriteFeatureValuesPayload) String
func (x *WriteFeatureValuesPayload) String() string
WriteFeatureValuesRequest
type WriteFeatureValuesRequest struct {
// Required. The resource name of the EntityType for the entities being
// written. Value format:
// `projects/{project}/locations/{location}/featurestores/
// {featurestore}/entityTypes/{entityType}`. For example,
// for a machine learning model predicting user clicks on a website, an
// EntityType ID could be `user`.
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Required. The entities to be written. Up to 100,000 feature values can be
// written across all `payloads`.
Payloads []*WriteFeatureValuesPayload `protobuf:"bytes,2,rep,name=payloads,proto3" json:"payloads,omitempty"`
// contains filtered or unexported fields
}
Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
func (*WriteFeatureValuesRequest) Descriptor
func (*WriteFeatureValuesRequest) Descriptor() ([]byte, []int)
Deprecated: Use WriteFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*WriteFeatureValuesRequest) GetEntityType
func (x *WriteFeatureValuesRequest) GetEntityType() string
func (*WriteFeatureValuesRequest) GetPayloads
func (x *WriteFeatureValuesRequest) GetPayloads() []*WriteFeatureValuesPayload
func (*WriteFeatureValuesRequest) ProtoMessage
func (*WriteFeatureValuesRequest) ProtoMessage()
func (*WriteFeatureValuesRequest) ProtoReflect
func (x *WriteFeatureValuesRequest) ProtoReflect() protoreflect.Message
func (*WriteFeatureValuesRequest) Reset
func (x *WriteFeatureValuesRequest) Reset()
func (*WriteFeatureValuesRequest) String
func (x *WriteFeatureValuesRequest) String() string
WriteFeatureValuesResponse
type WriteFeatureValuesResponse struct {
// contains filtered or unexported fields
}
Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
func (*WriteFeatureValuesResponse) Descriptor
func (*WriteFeatureValuesResponse) Descriptor() ([]byte, []int)
Deprecated: Use WriteFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*WriteFeatureValuesResponse) ProtoMessage
func (*WriteFeatureValuesResponse) ProtoMessage()
func (*WriteFeatureValuesResponse) ProtoReflect
func (x *WriteFeatureValuesResponse) ProtoReflect() protoreflect.Message
func (*WriteFeatureValuesResponse) Reset
func (x *WriteFeatureValuesResponse) Reset()
func (*WriteFeatureValuesResponse) String
func (x *WriteFeatureValuesResponse) String() string
WriteTensorboardExperimentDataRequest
type WriteTensorboardExperimentDataRequest struct {
// Required. The resource name of the TensorboardExperiment to write data to.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
TensorboardExperiment string `protobuf:"bytes,1,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
// Required. Requests containing per-run TensorboardTimeSeries data to write.
WriteRunDataRequests []*WriteTensorboardRunDataRequest `protobuf:"bytes,2,rep,name=write_run_data_requests,json=writeRunDataRequests,proto3" json:"write_run_data_requests,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
func (*WriteTensorboardExperimentDataRequest) Descriptor
func (*WriteTensorboardExperimentDataRequest) Descriptor() ([]byte, []int)
Deprecated: Use WriteTensorboardExperimentDataRequest.ProtoReflect.Descriptor instead.
func (*WriteTensorboardExperimentDataRequest) GetTensorboardExperiment
func (x *WriteTensorboardExperimentDataRequest) GetTensorboardExperiment() string
func (*WriteTensorboardExperimentDataRequest) GetWriteRunDataRequests
func (x *WriteTensorboardExperimentDataRequest) GetWriteRunDataRequests() []*WriteTensorboardRunDataRequest
func (*WriteTensorboardExperimentDataRequest) ProtoMessage
func (*WriteTensorboardExperimentDataRequest) ProtoMessage()
func (*WriteTensorboardExperimentDataRequest) ProtoReflect
func (x *WriteTensorboardExperimentDataRequest) ProtoReflect() protoreflect.Message
func (*WriteTensorboardExperimentDataRequest) Reset
func (x *WriteTensorboardExperimentDataRequest) Reset()
func (*WriteTensorboardExperimentDataRequest) String
func (x *WriteTensorboardExperimentDataRequest) String() string
WriteTensorboardExperimentDataResponse
type WriteTensorboardExperimentDataResponse struct {
// contains filtered or unexported fields
}
Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
func (*WriteTensorboardExperimentDataResponse) Descriptor
func (*WriteTensorboardExperimentDataResponse) Descriptor() ([]byte, []int)
Deprecated: Use WriteTensorboardExperimentDataResponse.ProtoReflect.Descriptor instead.
func (*WriteTensorboardExperimentDataResponse) ProtoMessage
func (*WriteTensorboardExperimentDataResponse) ProtoMessage()
func (*WriteTensorboardExperimentDataResponse) ProtoReflect
func (x *WriteTensorboardExperimentDataResponse) ProtoReflect() protoreflect.Message
func (*WriteTensorboardExperimentDataResponse) Reset
func (x *WriteTensorboardExperimentDataResponse) Reset()
func (*WriteTensorboardExperimentDataResponse) String
func (x *WriteTensorboardExperimentDataResponse) String() string
WriteTensorboardRunDataRequest
type WriteTensorboardRunDataRequest struct {
// Required. The resource name of the TensorboardRun to write data to.
// Format:
// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
TensorboardRun string `protobuf:"bytes,1,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
// Required. The TensorboardTimeSeries data to write.
// Values with in a time series are indexed by their step value.
// Repeated writes to the same step will overwrite the existing value for that
// step.
// The upper limit of data points per write request is 5000.
TimeSeriesData []*TimeSeriesData `protobuf:"bytes,2,rep,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
// contains filtered or unexported fields
}
Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
func (*WriteTensorboardRunDataRequest) Descriptor
func (*WriteTensorboardRunDataRequest) Descriptor() ([]byte, []int)
Deprecated: Use WriteTensorboardRunDataRequest.ProtoReflect.Descriptor instead.
func (*WriteTensorboardRunDataRequest) GetTensorboardRun
func (x *WriteTensorboardRunDataRequest) GetTensorboardRun() string
func (*WriteTensorboardRunDataRequest) GetTimeSeriesData
func (x *WriteTensorboardRunDataRequest) GetTimeSeriesData() []*TimeSeriesData
func (*WriteTensorboardRunDataRequest) ProtoMessage
func (*WriteTensorboardRunDataRequest) ProtoMessage()
func (*WriteTensorboardRunDataRequest) ProtoReflect
func (x *WriteTensorboardRunDataRequest) ProtoReflect() protoreflect.Message
func (*WriteTensorboardRunDataRequest) Reset
func (x *WriteTensorboardRunDataRequest) Reset()
func (*WriteTensorboardRunDataRequest) String
func (x *WriteTensorboardRunDataRequest) String() string
WriteTensorboardRunDataResponse
type WriteTensorboardRunDataResponse struct {
// contains filtered or unexported fields
}
Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
func (*WriteTensorboardRunDataResponse) Descriptor
func (*WriteTensorboardRunDataResponse) Descriptor() ([]byte, []int)
Deprecated: Use WriteTensorboardRunDataResponse.ProtoReflect.Descriptor instead.
func (*WriteTensorboardRunDataResponse) ProtoMessage
func (*WriteTensorboardRunDataResponse) ProtoMessage()
func (*WriteTensorboardRunDataResponse) ProtoReflect
func (x *WriteTensorboardRunDataResponse) ProtoReflect() protoreflect.Message
func (*WriteTensorboardRunDataResponse) Reset
func (x *WriteTensorboardRunDataResponse) Reset()
func (*WriteTensorboardRunDataResponse) String
func (x *WriteTensorboardRunDataResponse) String() string
XraiAttribution
type XraiAttribution struct {
// Required. The number of steps for approximating the path integral.
// A good value to start is 50 and gradually increase until the
// sum to diff property is met within the desired error range.
//
// Valid range of its value is [1, 100], inclusively.
StepCount int32 `protobuf:"varint,1,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
// Config for SmoothGrad approximation of gradients.
//
// When enabled, the gradients are approximated by averaging the gradients
// from noisy samples in the vicinity of the inputs. Adding
// noise can help improve the computed gradients. Refer to this paper for more
// details: https://arxiv.org/pdf/1706.03825.pdf
SmoothGradConfig *SmoothGradConfig `protobuf:"bytes,2,opt,name=smooth_grad_config,json=smoothGradConfig,proto3" json:"smooth_grad_config,omitempty"`
// Config for XRAI with blur baseline.
//
// When enabled, a linear path from the maximally blurred image to the input
// image is created. Using a blurred baseline instead of zero (black image) is
// motivated by the BlurIG approach explained here:
// https://arxiv.org/abs/2004.03383
BlurBaselineConfig *BlurBaselineConfig `protobuf:"bytes,3,opt,name=blur_baseline_config,json=blurBaselineConfig,proto3" json:"blur_baseline_config,omitempty"`
// contains filtered or unexported fields
}
An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825
Supported only by image Models.
func (*XraiAttribution) Descriptor
func (*XraiAttribution) Descriptor() ([]byte, []int)
Deprecated: Use XraiAttribution.ProtoReflect.Descriptor instead.
func (*XraiAttribution) GetBlurBaselineConfig
func (x *XraiAttribution) GetBlurBaselineConfig() *BlurBaselineConfig
func (*XraiAttribution) GetSmoothGradConfig
func (x *XraiAttribution) GetSmoothGradConfig() *SmoothGradConfig
func (*XraiAttribution) GetStepCount
func (x *XraiAttribution) GetStepCount() int32
func (*XraiAttribution) ProtoMessage
func (*XraiAttribution) ProtoMessage()
func (*XraiAttribution) ProtoReflect
func (x *XraiAttribution) ProtoReflect() protoreflect.Message
func (*XraiAttribution) Reset
func (x *XraiAttribution) Reset()
func (*XraiAttribution) String
func (x *XraiAttribution) String() string