Package cloud.google.com/go/aiplatform/apiv1beta1/aiplatformpb (v1.27.0)

var (
	AcceleratorType_name = map[int32]string{
		0: "ACCELERATOR_TYPE_UNSPECIFIED",
		1: "NVIDIA_TESLA_K80",
		2: "NVIDIA_TESLA_P100",
		3: "NVIDIA_TESLA_V100",
		4: "NVIDIA_TESLA_P4",
		5: "NVIDIA_TESLA_T4",
		8: "NVIDIA_TESLA_A100",
		9: "NVIDIA_A100_80GB",
		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,
		"NVIDIA_A100_80GB":             9,
		"TPU_V2":                       6,
		"TPU_V3":                       7,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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

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

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

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,
	}
)

var File_google_cloud_aiplatform_v1beta1_accelerator_type_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_annotation_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_annotation_spec_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_artifact_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_batch_prediction_job_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_completion_stats_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_context_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_custom_job_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_data_item_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_data_labeling_job_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_dataset_proto protoreflect.FileDescriptor

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

type AcceleratorType int32

const (
	// Unspecified accelerator type, which means no accelerator.
	AcceleratorType_ACCELERATOR_TYPE_UNSPECIFIED AcceleratorType = 0
	// Nvidia Tesla K80 GPU.
	AcceleratorType_NVIDIA_TESLA_K80 AcceleratorType = 1
	// Nvidia Tesla P100 GPU.
	AcceleratorType_NVIDIA_TESLA_P100 AcceleratorType = 2
	// Nvidia Tesla V100 GPU.
	AcceleratorType_NVIDIA_TESLA_V100 AcceleratorType = 3
	// Nvidia Tesla P4 GPU.
	AcceleratorType_NVIDIA_TESLA_P4 AcceleratorType = 4
	// Nvidia Tesla T4 GPU.
	AcceleratorType_NVIDIA_TESLA_T4 AcceleratorType = 5
	// Nvidia Tesla A100 GPU.
	AcceleratorType_NVIDIA_TESLA_A100 AcceleratorType = 8
	// Nvidia A2 Ultra GPU.
	AcceleratorType_NVIDIA_A100_80GB AcceleratorType = 9
	// TPU v2.
	AcceleratorType_TPU_V2 AcceleratorType = 6
	// TPU v3.
	AcceleratorType_TPU_V3 AcceleratorType = 7
)

func (AcceleratorType) Descriptor() protoreflect.EnumDescriptor

func (x AcceleratorType) Enum() *AcceleratorType

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

func (x AcceleratorType) Number() protoreflect.EnumNumber

func (x AcceleratorType) String() string

func (AcceleratorType) Type() protoreflect.EnumType

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
}

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

func (m *ActiveLearningConfig) GetHumanLabelingBudget() isActiveLearningConfig_HumanLabelingBudget

func (x *ActiveLearningConfig) GetMaxDataItemCount() int64

func (x *ActiveLearningConfig) GetMaxDataItemPercentage() int32

func (x *ActiveLearningConfig) GetSampleConfig() *SampleConfig

func (x *ActiveLearningConfig) GetTrainingConfig() *TrainingConfig

func (*ActiveLearningConfig) ProtoMessage()

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

func (x *ActiveLearningConfig) Reset()

func (x *ActiveLearningConfig) String() string

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"`
}

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"`
}

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
}

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

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

func (x *AddContextArtifactsAndExecutionsRequest) GetContext() string

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

func (*AddContextArtifactsAndExecutionsRequest) ProtoMessage()

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

func (x *AddContextArtifactsAndExecutionsRequest) Reset()

func (x *AddContextArtifactsAndExecutionsRequest) String() string

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

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

func (*AddContextArtifactsAndExecutionsResponse) ProtoMessage()

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

func (x *AddContextArtifactsAndExecutionsResponse) Reset()

func (x *AddContextArtifactsAndExecutionsResponse) String() string

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
}

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

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

func (x *AddContextChildrenRequest) GetContext() string

func (*AddContextChildrenRequest) ProtoMessage()

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

func (x *AddContextChildrenRequest) Reset()

func (x *AddContextChildrenRequest) String() string

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

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

func (*AddContextChildrenResponse) ProtoMessage()

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

func (x *AddContextChildrenResponse) Reset()

func (x *AddContextChildrenResponse) String() string

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
}

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

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

func (x *AddExecutionEventsRequest) GetExecution() string

func (*AddExecutionEventsRequest) ProtoMessage()

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

func (x *AddExecutionEventsRequest) Reset()

func (x *AddExecutionEventsRequest) String() string

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

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

func (*AddExecutionEventsResponse) ProtoMessage()

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

func (x *AddExecutionEventsResponse) Reset()

func (x *AddExecutionEventsResponse) String() string

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
}

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

func (x *AddTrialMeasurementRequest) GetMeasurement() *Measurement

func (x *AddTrialMeasurementRequest) GetTrialName() string

func (*AddTrialMeasurementRequest) ProtoMessage()

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

func (x *AddTrialMeasurementRequest) Reset()

func (x *AddTrialMeasurementRequest) String() string

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 */

}

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

func (x *Annotation) GetAnnotationSource() *UserActionReference