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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