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API documentation for aiplatform_v1.types
package.
Classes
ActiveLearningConfig
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.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
AddContextArtifactsAndExecutionsRequest
Request message for MetadataService.AddContextArtifactsAndExecutions.
AddContextArtifactsAndExecutionsResponse
Response message for MetadataService.AddContextArtifactsAndExecutions.
AddContextChildrenRequest
Request message for MetadataService.AddContextChildren.
AddContextChildrenResponse
Response message for MetadataService.AddContextChildren.
AddExecutionEventsRequest
Request message for MetadataService.AddExecutionEvents.
AddExecutionEventsResponse
Response message for MetadataService.AddExecutionEvents.
AddTrialMeasurementRequest
Request message for VizierService.AddTrialMeasurement.
Annotation
Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.
AnnotationSpec
Identifies a concept with which DataItems may be annotated with.
Artifact
Instance of a general artifact.
Attribution
Attribution that explains a particular prediction output.
AutomaticResources
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.
AutoscalingMetricSpec
The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.
AvroSource
The storage details for Avro input content.
BatchCreateFeaturesOperationMetadata
Details of operations that perform batch create Features.
BatchCreateFeaturesRequest
Request message for FeaturestoreService.BatchCreateFeatures.
BatchCreateFeaturesResponse
Response message for FeaturestoreService.BatchCreateFeatures.
BatchCreateTensorboardRunsRequest
Request message for TensorboardService.BatchCreateTensorboardRuns.
BatchCreateTensorboardRunsResponse
Response message for TensorboardService.BatchCreateTensorboardRuns.
BatchCreateTensorboardTimeSeriesRequest
Request message for TensorboardService.BatchCreateTensorboardTimeSeries.
BatchCreateTensorboardTimeSeriesResponse
Response message for TensorboardService.BatchCreateTensorboardTimeSeries.
BatchDedicatedResources
A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.
BatchImportEvaluatedAnnotationsRequest
Request message for ModelService.BatchImportEvaluatedAnnotations
BatchImportEvaluatedAnnotationsResponse
Response message for ModelService.BatchImportEvaluatedAnnotations
BatchImportModelEvaluationSlicesRequest
Request message for ModelService.BatchImportModelEvaluationSlices
BatchImportModelEvaluationSlicesResponse
Response message for ModelService.BatchImportModelEvaluationSlices
BatchMigrateResourcesOperationMetadata
Runtime operation information for MigrationService.BatchMigrateResources.
BatchMigrateResourcesRequest
Request message for MigrationService.BatchMigrateResources.
BatchMigrateResourcesResponse
Response message for MigrationService.BatchMigrateResources.
BatchPredictionJob
A job that uses a 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.
BatchReadFeatureValuesOperationMetadata
Details of operations that batch reads Feature values.
BatchReadFeatureValuesRequest
Request message for FeaturestoreService.BatchReadFeatureValues.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
BatchReadFeatureValuesResponse
Response message for FeaturestoreService.BatchReadFeatureValues.
BatchReadTensorboardTimeSeriesDataRequest
Request message for TensorboardService.BatchReadTensorboardTimeSeriesData.
BatchReadTensorboardTimeSeriesDataResponse
Response message for TensorboardService.BatchReadTensorboardTimeSeriesData.
BigQueryDestination
The BigQuery location for the output content.
BigQuerySource
The BigQuery location for the input content.
BlurBaselineConfig
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
BoolArray
A list of boolean values.
CancelBatchPredictionJobRequest
Request message for JobService.CancelBatchPredictionJob.
CancelCustomJobRequest
Request message for JobService.CancelCustomJob.
CancelDataLabelingJobRequest
Request message for JobService.CancelDataLabelingJob.
CancelHyperparameterTuningJobRequest
Request message for JobService.CancelHyperparameterTuningJob.
CancelNasJobRequest
Request message for JobService.CancelNasJob.
CancelPipelineJobRequest
Request message for PipelineService.CancelPipelineJob.
CancelTrainingPipelineRequest
Request message for PipelineService.CancelTrainingPipeline.
CheckTrialEarlyStoppingStateMetatdata
This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.
CheckTrialEarlyStoppingStateRequest
Request message for VizierService.CheckTrialEarlyStoppingState.
CheckTrialEarlyStoppingStateResponse
Response message for VizierService.CheckTrialEarlyStoppingState.
CompleteTrialRequest
Request message for VizierService.CompleteTrial.
CompletionStats
Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.
ContainerRegistryDestination
The Container Registry location for the container image.
ContainerSpec
The spec of a Container.
Context
Instance of a general context.
CopyModelOperationMetadata
Details of ModelService.CopyModel operation.
CopyModelRequest
Request message for ModelService.CopyModel.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
CopyModelResponse
Response message of ModelService.CopyModel operation.
CreateArtifactRequest
Request message for MetadataService.CreateArtifact.
CreateBatchPredictionJobRequest
Request message for JobService.CreateBatchPredictionJob.
CreateContextRequest
Request message for MetadataService.CreateContext.
CreateCustomJobRequest
Request message for JobService.CreateCustomJob.
CreateDataLabelingJobRequest
Request message for JobService.CreateDataLabelingJob.
CreateDatasetOperationMetadata
Runtime operation information for DatasetService.CreateDataset.
CreateDatasetRequest
Request message for DatasetService.CreateDataset.
CreateEndpointOperationMetadata
Runtime operation information for EndpointService.CreateEndpoint.
CreateEndpointRequest
Request message for EndpointService.CreateEndpoint.
CreateEntityTypeOperationMetadata
Details of operations that perform create EntityType.
CreateEntityTypeRequest
Request message for FeaturestoreService.CreateEntityType.
CreateExecutionRequest
Request message for MetadataService.CreateExecution.
CreateFeatureOperationMetadata
Details of operations that perform create Feature.
CreateFeatureRequest
Request message for FeaturestoreService.CreateFeature.
CreateFeaturestoreOperationMetadata
Details of operations that perform create Featurestore.
CreateFeaturestoreRequest
Request message for FeaturestoreService.CreateFeaturestore.
CreateHyperparameterTuningJobRequest
Request message for JobService.CreateHyperparameterTuningJob.
CreateIndexEndpointOperationMetadata
Runtime operation information for IndexEndpointService.CreateIndexEndpoint.
CreateIndexEndpointRequest
Request message for IndexEndpointService.CreateIndexEndpoint.
CreateIndexOperationMetadata
Runtime operation information for IndexService.CreateIndex.
CreateIndexRequest
Request message for IndexService.CreateIndex.
CreateMetadataSchemaRequest
Request message for MetadataService.CreateMetadataSchema.
CreateMetadataStoreOperationMetadata
Details of operations that perform MetadataService.CreateMetadataStore.
CreateMetadataStoreRequest
Request message for MetadataService.CreateMetadataStore.
CreateModelDeploymentMonitoringJobRequest
Request message for JobService.CreateModelDeploymentMonitoringJob.
CreateNasJobRequest
Request message for JobService.CreateNasJob.
CreatePipelineJobRequest
Request message for PipelineService.CreatePipelineJob.
CreateSpecialistPoolOperationMetadata
Runtime operation information for SpecialistPoolService.CreateSpecialistPool.
CreateSpecialistPoolRequest
Request message for SpecialistPoolService.CreateSpecialistPool.
CreateStudyRequest
Request message for VizierService.CreateStudy.
CreateTensorboardExperimentRequest
Request message for TensorboardService.CreateTensorboardExperiment.
CreateTensorboardOperationMetadata
Details of operations that perform create Tensorboard.
CreateTensorboardRequest
Request message for TensorboardService.CreateTensorboard.
CreateTensorboardRunRequest
Request message for TensorboardService.CreateTensorboardRun.
CreateTensorboardTimeSeriesRequest
Request message for TensorboardService.CreateTensorboardTimeSeries.
CreateTrainingPipelineRequest
Request message for PipelineService.CreateTrainingPipeline.
CreateTrialRequest
Request message for VizierService.CreateTrial.
CsvDestination
The storage details for CSV output content.
CsvSource
The storage details for CSV input content.
CustomJob
Represents a job that runs custom workloads such as a Docker container or a Python package. A CustomJob can have multiple worker pools and each worker pool can have its own machine and input spec. A CustomJob will be cleaned up once the job enters terminal state (failed or succeeded).
CustomJobSpec
Represents the spec of a CustomJob.
DataItem
A piece of data in a Dataset. Could be an image, a video, a document or plain text.
DataItemView
A container for a single DataItem and Annotations on it.
DataLabelingJob
DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:
Dataset
A collection of DataItems and Annotations on them.
DedicatedResources
A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.
DeleteArtifactRequest
Request message for MetadataService.DeleteArtifact.
DeleteBatchPredictionJobRequest
Request message for JobService.DeleteBatchPredictionJob.
DeleteContextRequest
Request message for MetadataService.DeleteContext.
DeleteCustomJobRequest
Request message for JobService.DeleteCustomJob.
DeleteDataLabelingJobRequest
Request message for JobService.DeleteDataLabelingJob.
DeleteDatasetRequest
Request message for DatasetService.DeleteDataset.
DeleteEndpointRequest
Request message for EndpointService.DeleteEndpoint.
DeleteEntityTypeRequest
Request message for [FeaturestoreService.DeleteEntityTypes][].
DeleteExecutionRequest
Request message for MetadataService.DeleteExecution.
DeleteFeatureRequest
Request message for FeaturestoreService.DeleteFeature.
DeleteFeatureValuesOperationMetadata
Details of operations that delete Feature values.
DeleteFeatureValuesRequest
Request message for FeaturestoreService.DeleteFeatureValues.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
DeleteFeatureValuesResponse
Response message for FeaturestoreService.DeleteFeatureValues.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
DeleteFeaturestoreRequest
Request message for FeaturestoreService.DeleteFeaturestore.
DeleteHyperparameterTuningJobRequest
Request message for JobService.DeleteHyperparameterTuningJob.
DeleteIndexEndpointRequest
Request message for IndexEndpointService.DeleteIndexEndpoint.
DeleteIndexRequest
Request message for IndexService.DeleteIndex.
DeleteMetadataStoreOperationMetadata
Details of operations that perform MetadataService.DeleteMetadataStore.
DeleteMetadataStoreRequest
Request message for MetadataService.DeleteMetadataStore.
DeleteModelDeploymentMonitoringJobRequest
Request message for JobService.DeleteModelDeploymentMonitoringJob.
DeleteModelRequest
Request message for ModelService.DeleteModel.
DeleteModelVersionRequest
Request message for ModelService.DeleteModelVersion.
DeleteNasJobRequest
Request message for JobService.DeleteNasJob.
DeleteOperationMetadata
Details of operations that perform deletes of any entities.
DeletePipelineJobRequest
Request message for PipelineService.DeletePipelineJob.
DeleteSavedQueryRequest
Request message for DatasetService.DeleteSavedQuery.
DeleteSpecialistPoolRequest
Request message for SpecialistPoolService.DeleteSpecialistPool.
DeleteStudyRequest
Request message for VizierService.DeleteStudy.
DeleteTensorboardExperimentRequest
Request message for TensorboardService.DeleteTensorboardExperiment.
DeleteTensorboardRequest
Request message for TensorboardService.DeleteTensorboard.
DeleteTensorboardRunRequest
Request message for TensorboardService.DeleteTensorboardRun.
DeleteTensorboardTimeSeriesRequest
Request message for TensorboardService.DeleteTensorboardTimeSeries.
DeleteTrainingPipelineRequest
Request message for PipelineService.DeleteTrainingPipeline.
DeleteTrialRequest
Request message for VizierService.DeleteTrial.
DeployIndexOperationMetadata
Runtime operation information for IndexEndpointService.DeployIndex.
DeployIndexRequest
Request message for IndexEndpointService.DeployIndex.
DeployIndexResponse
Response message for IndexEndpointService.DeployIndex.
DeployModelOperationMetadata
Runtime operation information for EndpointService.DeployModel.
DeployModelRequest
Request message for EndpointService.DeployModel.
DeployModelResponse
Response message for EndpointService.DeployModel.
DeployedIndex
A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.
DeployedIndexAuthConfig
Used to set up the auth on the DeployedIndex's private endpoint.
DeployedIndexRef
Points to a DeployedIndex.
DeployedModel
A deployment of a Model. Endpoints contain one or more DeployedModels.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
DeployedModelRef
Points to a DeployedModel.
DestinationFeatureSetting
DiskSpec
Represents the spec of disk options.
DoubleArray
A list of double values.
EncryptionSpec
Represents a customer-managed encryption key spec that can be applied to a top-level resource.
Endpoint
Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.
EntityIdSelector
Selector for entityId. Getting ids from the given source.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
EntityType
An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver.
EnvVar
Represents an environment variable present in a Container or Python Module.
ErrorAnalysisAnnotation
Model error analysis for each annotation.
EvaluatedAnnotation
True positive, false positive, or false negative.
EvaluatedAnnotation is only available under ModelEvaluationSlice
with slice of annotationSpec
dimension.
EvaluatedAnnotationExplanation
Explanation result of the prediction produced by the Model.
Event
An edge describing the relationship between an Artifact and an Execution in a lineage graph.
Examples
Example-based explainability that returns the nearest neighbors from the provided dataset.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
ExamplesOverride
Overrides for example-based explanations.
ExamplesRestrictionsNamespace
Restrictions namespace for example-based explanations overrides.
Execution
Instance of a general execution.
ExplainRequest
Request message for PredictionService.Explain.
ExplainResponse
Response message for PredictionService.Explain.
Explanation
Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given instance.
ExplanationMetadata
Metadata describing the Model's input and output for explanation.
ExplanationMetadataOverride
The ExplanationMetadata entries that can be overridden at [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
ExplanationParameters
Parameters to configure explaining for Model's predictions.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
ExplanationSpec
Specification of Model explanation.
ExplanationSpecOverride
The ExplanationSpec entries that can be overridden at [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
ExportDataConfig
Describes what part of the Dataset is to be exported, the destination of the export and how to export.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
ExportDataOperationMetadata
Runtime operation information for DatasetService.ExportData.
ExportDataRequest
Request message for DatasetService.ExportData.
ExportDataResponse
Response message for DatasetService.ExportData.
ExportFeatureValuesOperationMetadata
Details of operations that exports Features values.
ExportFeatureValuesRequest
Request message for FeaturestoreService.ExportFeatureValues.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
ExportFeatureValuesResponse
Response message for FeaturestoreService.ExportFeatureValues.
ExportFractionSplit
Assigns the input data to training, validation, and test sets as per
the given fractions. Any of training_fraction
,
validation_fraction
and test_fraction
may optionally be
provided, they must sum to up to 1. If the provided ones sum to less
than 1, the remainder is assigned to sets as decided by Vertex AI.
If none of the fractions are set, by default roughly 80% of data is
used for training, 10% for validation, and 10% for test.
ExportModelOperationMetadata
Details of ModelService.ExportModel operation.
ExportModelRequest
Request message for ModelService.ExportModel.
ExportModelResponse
Response message of ModelService.ExportModel operation.
ExportTensorboardTimeSeriesDataRequest
Request message for TensorboardService.ExportTensorboardTimeSeriesData.
ExportTensorboardTimeSeriesDataResponse
Response message for TensorboardService.ExportTensorboardTimeSeriesData.
Feature
Feature Metadata information that describes an attribute of an entity type. For example, apple is an entity type, and color is a feature that describes apple.
FeatureNoiseSigma
Noise sigma by features. Noise sigma represents the standard deviation of the gaussian kernel that will be used to add noise to interpolated inputs prior to computing gradients.
FeatureSelector
Selector for Features of an EntityType.
FeatureStatsAnomaly
Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display.
FeatureValue
Value for a feature.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
FeatureValueDestination
A destination location for Feature values and format.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
FeatureValueList
Container for list of values.
Featurestore
Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features. The Featurestore is a top-level container for your features and their values.
FeaturestoreMonitoringConfig
Configuration of how features in Featurestore are monitored.
FilterSplit
Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored. Currently only supported for Datasets containing DataItems. If any of the filters in this message are to match nothing, then they can be set as '-' (the minus sign).
Supported only for unstructured Datasets.
FindNeighborsRequest
The request message for MatchService.FindNeighbors.
FindNeighborsResponse
The response message for MatchService.FindNeighbors.
FractionSplit
Assigns the input data to training, validation, and test sets as per
the given fractions. Any of training_fraction
,
validation_fraction
and test_fraction
may optionally be
provided, they must sum to up to 1. If the provided ones sum to less
than 1, the remainder is assigned to sets as decided by Vertex AI.
If none of the fractions are set, by default roughly 80% of data is
used for training, 10% for validation, and 10% for test.
GcsDestination
The Google Cloud Storage location where the output is to be written to.
GcsSource
The Google Cloud Storage location for the input content.
GenericOperationMetadata
Generic Metadata shared by all operations.
GetAnnotationSpecRequest
Request message for DatasetService.GetAnnotationSpec.
GetArtifactRequest
Request message for MetadataService.GetArtifact.
GetBatchPredictionJobRequest
Request message for JobService.GetBatchPredictionJob.
GetContextRequest
Request message for MetadataService.GetContext.
GetCustomJobRequest
Request message for JobService.GetCustomJob.
GetDataLabelingJobRequest
Request message for JobService.GetDataLabelingJob.
GetDatasetRequest
Request message for DatasetService.GetDataset.
GetEndpointRequest
Request message for EndpointService.GetEndpoint
GetEntityTypeRequest
Request message for FeaturestoreService.GetEntityType.
GetExecutionRequest
Request message for MetadataService.GetExecution.
GetFeatureRequest
Request message for FeaturestoreService.GetFeature.
GetFeaturestoreRequest
Request message for FeaturestoreService.GetFeaturestore.
GetHyperparameterTuningJobRequest
Request message for JobService.GetHyperparameterTuningJob.
GetIndexEndpointRequest
Request message for IndexEndpointService.GetIndexEndpoint
GetIndexRequest
Request message for IndexService.GetIndex
GetMetadataSchemaRequest
Request message for MetadataService.GetMetadataSchema.
GetMetadataStoreRequest
Request message for MetadataService.GetMetadataStore.
GetModelDeploymentMonitoringJobRequest
Request message for JobService.GetModelDeploymentMonitoringJob.
GetModelEvaluationRequest
Request message for ModelService.GetModelEvaluation.
GetModelEvaluationSliceRequest
Request message for ModelService.GetModelEvaluationSlice.
GetModelRequest
Request message for ModelService.GetModel.
GetNasJobRequest
Request message for JobService.GetNasJob.
GetNasTrialDetailRequest
Request message for JobService.GetNasTrialDetail.
GetPipelineJobRequest
Request message for PipelineService.GetPipelineJob.
GetPublisherModelRequest
Request message for ModelGardenService.GetPublisherModel
GetSpecialistPoolRequest
Request message for SpecialistPoolService.GetSpecialistPool.
GetStudyRequest
Request message for VizierService.GetStudy.
GetTensorboardExperimentRequest
Request message for TensorboardService.GetTensorboardExperiment.
GetTensorboardRequest
Request message for TensorboardService.GetTensorboard.
GetTensorboardRunRequest
Request message for TensorboardService.GetTensorboardRun.
GetTensorboardTimeSeriesRequest
Request message for TensorboardService.GetTensorboardTimeSeries.
GetTrainingPipelineRequest
Request message for PipelineService.GetTrainingPipeline.
GetTrialRequest
Request message for VizierService.GetTrial.
HyperparameterTuningJob
Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.
IdMatcher
Matcher for Features of an EntityType by Feature ID.
ImportDataConfig
Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
ImportDataOperationMetadata
Runtime operation information for DatasetService.ImportData.
ImportDataRequest
Request message for DatasetService.ImportData.
ImportDataResponse
Response message for DatasetService.ImportData.
ImportFeatureValuesOperationMetadata
Details of operations that perform import Feature values.
ImportFeatureValuesRequest
Request message for FeaturestoreService.ImportFeatureValues.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
ImportFeatureValuesResponse
Response message for FeaturestoreService.ImportFeatureValues.
ImportModelEvaluationRequest
Request message for ModelService.ImportModelEvaluation
Index
A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
IndexDatapoint
A datapoint of Index.
IndexEndpoint
Indexes are deployed into it. An IndexEndpoint can have multiple DeployedIndexes.
IndexPrivateEndpoints
IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g. private service access, private service connect). To send request via private service access, use match_grpc_address. To send request via private service connect, use service_attachment.
IndexStats
Stats of the Index.
InputDataConfig
Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Int64Array
A list of int64 values.
IntegratedGradientsAttribution
An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365
LargeModelReference
Contains information about the Large Model.
LineageSubgraph
A subgraph of the overall lineage graph. Event edges connect Artifact and Execution nodes.
ListAnnotationsRequest
Request message for DatasetService.ListAnnotations.
ListAnnotationsResponse
Response message for DatasetService.ListAnnotations.
ListArtifactsRequest
Request message for MetadataService.ListArtifacts.
ListArtifactsResponse
Response message for MetadataService.ListArtifacts.
ListBatchPredictionJobsRequest
Request message for JobService.ListBatchPredictionJobs.
ListBatchPredictionJobsResponse
Response message for JobService.ListBatchPredictionJobs
ListContextsRequest
Request message for MetadataService.ListContexts
ListContextsResponse
Response message for MetadataService.ListContexts.
ListCustomJobsRequest
Request message for JobService.ListCustomJobs.
ListCustomJobsResponse
Response message for JobService.ListCustomJobs
ListDataItemsRequest
Request message for DatasetService.ListDataItems.
ListDataItemsResponse
Response message for DatasetService.ListDataItems.
ListDataLabelingJobsRequest
Request message for JobService.ListDataLabelingJobs.
ListDataLabelingJobsResponse
Response message for JobService.ListDataLabelingJobs.
ListDatasetsRequest
Request message for DatasetService.ListDatasets.
ListDatasetsResponse
Response message for DatasetService.ListDatasets.
ListEndpointsRequest
Request message for EndpointService.ListEndpoints.
ListEndpointsResponse
Response message for EndpointService.ListEndpoints.
ListEntityTypesRequest
Request message for FeaturestoreService.ListEntityTypes.
ListEntityTypesResponse
Response message for FeaturestoreService.ListEntityTypes.
ListExecutionsRequest
Request message for MetadataService.ListExecutions.
ListExecutionsResponse
Response message for MetadataService.ListExecutions.
ListFeaturesRequest
Request message for FeaturestoreService.ListFeatures.
ListFeaturesResponse
Response message for FeaturestoreService.ListFeatures.
ListFeaturestoresRequest
Request message for FeaturestoreService.ListFeaturestores.
ListFeaturestoresResponse
Response message for FeaturestoreService.ListFeaturestores.
ListHyperparameterTuningJobsRequest
Request message for JobService.ListHyperparameterTuningJobs.
ListHyperparameterTuningJobsResponse
Response message for JobService.ListHyperparameterTuningJobs
ListIndexEndpointsRequest
Request message for IndexEndpointService.ListIndexEndpoints.
ListIndexEndpointsResponse
Response message for IndexEndpointService.ListIndexEndpoints.
ListIndexesRequest
Request message for IndexService.ListIndexes.
ListIndexesResponse
Response message for IndexService.ListIndexes.
ListMetadataSchemasRequest
Request message for MetadataService.ListMetadataSchemas.
ListMetadataSchemasResponse
Response message for MetadataService.ListMetadataSchemas.
ListMetadataStoresRequest
Request message for MetadataService.ListMetadataStores.
ListMetadataStoresResponse
Response message for MetadataService.ListMetadataStores.
ListModelDeploymentMonitoringJobsRequest
Request message for JobService.ListModelDeploymentMonitoringJobs.
ListModelDeploymentMonitoringJobsResponse
Response message for JobService.ListModelDeploymentMonitoringJobs.
ListModelEvaluationSlicesRequest
Request message for ModelService.ListModelEvaluationSlices.
ListModelEvaluationSlicesResponse
Response message for ModelService.ListModelEvaluationSlices.
ListModelEvaluationsRequest
Request message for ModelService.ListModelEvaluations.
ListModelEvaluationsResponse
Response message for ModelService.ListModelEvaluations.
ListModelVersionsRequest
Request message for ModelService.ListModelVersions.
ListModelVersionsResponse
Response message for ModelService.ListModelVersions
ListModelsRequest
Request message for ModelService.ListModels.
ListModelsResponse
Response message for ModelService.ListModels
ListNasJobsRequest
Request message for JobService.ListNasJobs.
ListNasJobsResponse
Response message for JobService.ListNasJobs
ListNasTrialDetailsRequest
Request message for JobService.ListNasTrialDetails.
ListNasTrialDetailsResponse
Response message for JobService.ListNasTrialDetails
ListOptimalTrialsRequest
Request message for VizierService.ListOptimalTrials.
ListOptimalTrialsResponse
Response message for VizierService.ListOptimalTrials.
ListPipelineJobsRequest
Request message for PipelineService.ListPipelineJobs.
ListPipelineJobsResponse
Response message for PipelineService.ListPipelineJobs
ListSavedQueriesRequest
Request message for DatasetService.ListSavedQueries.
ListSavedQueriesResponse
Response message for DatasetService.ListSavedQueries.
ListSpecialistPoolsRequest
Request message for SpecialistPoolService.ListSpecialistPools.
ListSpecialistPoolsResponse
Response message for SpecialistPoolService.ListSpecialistPools.
ListStudiesRequest
Request message for VizierService.ListStudies.
ListStudiesResponse
Response message for VizierService.ListStudies.
ListTensorboardExperimentsRequest
Request message for TensorboardService.ListTensorboardExperiments.
ListTensorboardExperimentsResponse
Response message for TensorboardService.ListTensorboardExperiments.
ListTensorboardRunsRequest
Request message for TensorboardService.ListTensorboardRuns.
ListTensorboardRunsResponse
Response message for TensorboardService.ListTensorboardRuns.
ListTensorboardTimeSeriesRequest
Request message for TensorboardService.ListTensorboardTimeSeries.
ListTensorboardTimeSeriesResponse
Response message for TensorboardService.ListTensorboardTimeSeries.
ListTensorboardsRequest
Request message for TensorboardService.ListTensorboards.
ListTensorboardsResponse
Response message for TensorboardService.ListTensorboards.
ListTrainingPipelinesRequest
Request message for PipelineService.ListTrainingPipelines.
ListTrainingPipelinesResponse
Response message for PipelineService.ListTrainingPipelines
ListTrialsRequest
Request message for VizierService.ListTrials.
ListTrialsResponse
Response message for VizierService.ListTrials.
LookupStudyRequest
Request message for VizierService.LookupStudy.
MachineSpec
Specification of a single machine.
ManualBatchTuningParameters
Manual batch tuning parameters.
Measurement
A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.
MergeVersionAliasesRequest
Request message for ModelService.MergeVersionAliases.
MetadataSchema
Instance of a general MetadataSchema.
MetadataStore
Instance of a metadata store. Contains a set of metadata that can be queried.
MigratableResource
Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
MigrateResourceRequest
Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
MigrateResourceResponse
Describes a successfully migrated resource.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Model
A trained machine learning Model.
ModelContainerSpec
Specification of a container for serving predictions. Some fields in
this message correspond to fields in the Kubernetes Container v1
core
specification <https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core>
__.
ModelDeploymentMonitoringBigQueryTable
ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.
ModelDeploymentMonitoringJob
Represents a job that runs periodically to monitor the deployed models in an endpoint. It will analyze the logged training & prediction data to detect any abnormal behaviors.
ModelDeploymentMonitoringObjectiveConfig
ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.
ModelDeploymentMonitoringObjectiveType
The Model Monitoring Objective types.
Values: MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED (0): Default value, should not be set. RAW_FEATURE_SKEW (1): Raw feature values' stats to detect skew between Training-Prediction datasets. RAW_FEATURE_DRIFT (2): Raw feature values' stats to detect drift between Serving-Prediction datasets. FEATURE_ATTRIBUTION_SKEW (3): Feature attribution scores to detect skew between Training-Prediction datasets. FEATURE_ATTRIBUTION_DRIFT (4): Feature attribution scores to detect skew between Prediction datasets collected within different time windows.
ModelDeploymentMonitoringScheduleConfig
The config for scheduling monitoring job.
ModelEvaluation
A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.
ModelEvaluationSlice
A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.
ModelExplanation
Aggregated explanation metrics for a Model over a set of instances.
ModelMonitoringAlertConfig
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
ModelMonitoringObjectiveConfig
The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.
ModelMonitoringStatsAnomalies
Statistics and anomalies generated by Model Monitoring.
ModelSourceInfo
Detail description of the source information of the model.
MutateDeployedIndexOperationMetadata
Runtime operation information for IndexEndpointService.MutateDeployedIndex.
MutateDeployedIndexRequest
Request message for IndexEndpointService.MutateDeployedIndex.
MutateDeployedIndexResponse
Response message for IndexEndpointService.MutateDeployedIndex.
MutateDeployedModelOperationMetadata
Runtime operation information for EndpointService.MutateDeployedModel.
MutateDeployedModelRequest
Request message for EndpointService.MutateDeployedModel.
MutateDeployedModelResponse
Response message for EndpointService.MutateDeployedModel.
NasJob
Represents a Neural Architecture Search (NAS) job.
NasJobOutput
Represents a uCAIP NasJob output.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
NasJobSpec
Represents the spec of a NasJob.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
NasTrial
Represents a uCAIP NasJob trial.
NasTrialDetail
Represents a NasTrial details along with its parameters. If there is a corresponding train NasTrial, the train NasTrial is also returned.
NearestNeighborSearchOperationMetadata
Runtime operation metadata with regard to Matching Engine Index.
Neighbor
Neighbors for example-based explanations.
NfsMount
Represents a mount configuration for Network File System (NFS) to mount.
PauseModelDeploymentMonitoringJobRequest
Request message for JobService.PauseModelDeploymentMonitoringJob.
PipelineJob
An instance of a machine learning PipelineJob.
PipelineJobDetail
The runtime detail of PipelineJob.
PipelineTaskDetail
The runtime detail of a task execution.
PipelineTaskExecutorDetail
The runtime detail of a pipeline executor.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
PipelineTemplateMetadata
Pipeline template metadata if PipelineJob.template_uri is from supported template registry. Currently, the only supported registry is Artifact Registry.
Port
Represents a network port in a container.
PredefinedSplit
Assigns input data to training, validation, and test sets based on the value of a provided key.
Supported only for tabular Datasets.
PredictRequest
Request message for PredictionService.Predict.
PredictRequestResponseLoggingConfig
Configuration for logging request-response to a BigQuery table.
PredictResponse
Response message for PredictionService.Predict.
PredictSchemata
Contains the schemata used in Model's predictions and explanations via PredictionService.Predict, PredictionService.Explain and BatchPredictionJob.
Presets
Preset configuration for example-based explanations
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
PrivateEndpoints
PrivateEndpoints proto is used to provide paths for users to send requests privately. To send request via private service access, use predict_http_uri, explain_http_uri or health_http_uri. To send request via private service connect, use service_attachment.
PrivateServiceConnectConfig
Represents configuration for private service connect.
PublisherModel
A Model Garden Publisher Model.
PublisherModelView
View enumeration of PublisherModel.
Values: PUBLISHER_MODEL_VIEW_UNSPECIFIED (0): The default / unset value. The API will default to the BASIC view. PUBLISHER_MODEL_VIEW_BASIC (1): Include basic metadata about the publisher model, but not the full contents. PUBLISHER_MODEL_VIEW_FULL (2): Include everything. PUBLISHER_MODEL_VERSION_VIEW_BASIC (3): Include: VersionId, ModelVersionExternalName, and SupportedActions.
PurgeArtifactsMetadata
Details of operations that perform MetadataService.PurgeArtifacts.
PurgeArtifactsRequest
Request message for MetadataService.PurgeArtifacts.
PurgeArtifactsResponse
Response message for MetadataService.PurgeArtifacts.
PurgeContextsMetadata
Details of operations that perform MetadataService.PurgeContexts.
PurgeContextsRequest
Request message for MetadataService.PurgeContexts.
PurgeContextsResponse
Response message for MetadataService.PurgeContexts.
PurgeExecutionsMetadata
Details of operations that perform MetadataService.PurgeExecutions.
PurgeExecutionsRequest
Request message for MetadataService.PurgeExecutions.
PurgeExecutionsResponse
Response message for MetadataService.PurgeExecutions.
PythonPackageSpec
The spec of a Python packaged code.
QueryArtifactLineageSubgraphRequest
Request message for MetadataService.QueryArtifactLineageSubgraph.
QueryContextLineageSubgraphRequest
Request message for MetadataService.QueryContextLineageSubgraph.
QueryExecutionInputsAndOutputsRequest
Request message for MetadataService.QueryExecutionInputsAndOutputs.
RawPredictRequest
Request message for PredictionService.RawPredict.
ReadFeatureValuesRequest
Request message for FeaturestoreOnlineServingService.ReadFeatureValues.
ReadFeatureValuesResponse
Response message for FeaturestoreOnlineServingService.ReadFeatureValues.
ReadIndexDatapointsRequest
The request message for MatchService.ReadIndexDatapoints.
ReadIndexDatapointsResponse
The response message for MatchService.ReadIndexDatapoints.
ReadTensorboardBlobDataRequest
Request message for TensorboardService.ReadTensorboardBlobData.
ReadTensorboardBlobDataResponse
Response message for TensorboardService.ReadTensorboardBlobData.
ReadTensorboardTimeSeriesDataRequest
Request message for TensorboardService.ReadTensorboardTimeSeriesData.
ReadTensorboardTimeSeriesDataResponse
Response message for TensorboardService.ReadTensorboardTimeSeriesData.
ReadTensorboardUsageRequest
Request message for TensorboardService.ReadTensorboardUsage.
ReadTensorboardUsageResponse
Response message for TensorboardService.ReadTensorboardUsage.
RemoveContextChildrenRequest
Request message for [MetadataService.DeleteContextChildrenRequest][].
RemoveContextChildrenResponse
Response message for MetadataService.RemoveContextChildren.
RemoveDatapointsRequest
Request message for IndexService.RemoveDatapoints
RemoveDatapointsResponse
Response message for IndexService.RemoveDatapoints
ResourcesConsumed
Statistics information about resource consumption.
ResumeModelDeploymentMonitoringJobRequest
Request message for JobService.ResumeModelDeploymentMonitoringJob.
SampleConfig
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
SampledShapleyAttribution
An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features.
SamplingStrategy
Sampling Strategy for logging, can be for both training and prediction dataset.
SavedQuery
A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
Scalar
One point viewable on a scalar metric plot.
Scheduling
All parameters related to queuing and scheduling of custom jobs.
SearchDataItemsRequest
Request message for DatasetService.SearchDataItems.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
SearchDataItemsResponse
Response message for DatasetService.SearchDataItems.
SearchFeaturesRequest
Request message for FeaturestoreService.SearchFeatures.
SearchFeaturesResponse
Response message for FeaturestoreService.SearchFeatures.
SearchMigratableResourcesRequest
Request message for MigrationService.SearchMigratableResources.
SearchMigratableResourcesResponse
Response message for MigrationService.SearchMigratableResources.
SearchModelDeploymentMonitoringStatsAnomaliesRequest
Request message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.
SearchModelDeploymentMonitoringStatsAnomaliesResponse
Response message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.
SmoothGradConfig
Config for SmoothGrad approximation of gradients. When enabled, the gradients are approximated by averaging the gradients from noisy samples in the vicinity of the inputs. Adding noise can help improve the computed gradients. Refer to this paper for more details: https://arxiv.org/pdf/1706.03825.pdf
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
SpecialistPool
SpecialistPool represents customers' own workforce to work on their data labeling jobs. It includes a group of specialist managers and workers. Managers are responsible for managing the workers in this pool as well as customers' data labeling jobs associated with this pool. Customers create specialist pool as well as start data labeling jobs on Cloud, managers and workers handle the jobs using CrowdCompute console.
StopTrialRequest
Request message for VizierService.StopTrial.
StratifiedSplit
Assigns input data to the training, validation, and test sets so
that the distribution of values found in the categorical column (as
specified by the key
field) is mirrored within each split. The
fraction values determine the relative sizes of the splits.
For example, if the specified column has three values, with 50% of the rows having value "A", 25% value "B", and 25% value "C", and the split fractions are specified as 80/10/10, then the training set will constitute 80% of the training data, with about 50% of the training set rows having the value "A" for the specified column, about 25% having the value "B", and about 25% having the value "C".
Only the top 500 occurring values are used; any values not in the top 500 values are randomly assigned to a split. If less than three rows contain a specific value, those rows are randomly assigned.
Supported only for tabular Datasets.
StreamingReadFeatureValuesRequest
Request message for [FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].
StringArray
A list of string values.
Study
A message representing a Study.
StudySpec
Represents specification of a Study.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
SuggestTrialsMetadata
Details of operations that perform Trials suggestion.
SuggestTrialsRequest
Request message for VizierService.SuggestTrials.
SuggestTrialsResponse
Response message for VizierService.SuggestTrials.
TFRecordDestination
The storage details for TFRecord output content.
Tensorboard
Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a Google Cloud project. If needed users can also create extra Tensorboards in their projects.
TensorboardBlob
One blob (e.g, image, graph) viewable on a blob metric plot.
TensorboardBlobSequence
One point viewable on a blob metric plot, but mostly just a wrapper
message to work around repeated fields can't be used directly within
oneof
fields.
TensorboardExperiment
A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.
TensorboardRun
TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc
TensorboardTensor
One point viewable on a tensor metric plot.
TensorboardTimeSeries
TensorboardTimeSeries maps to times series produced in training runs
ThresholdConfig
The config for feature monitoring threshold.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
TimeSeriesData
All the data stored in a TensorboardTimeSeries.
TimeSeriesDataPoint
A TensorboardTimeSeries data point.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
TimestampSplit
Assigns input data to training, validation, and test sets based on a provided timestamps. The youngest data pieces are assigned to training set, next to validation set, and the oldest to the test set. Supported only for tabular Datasets.
TrainingConfig
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.
TrainingPipeline
The TrainingPipeline orchestrates tasks associated with training a Model. It always executes the training task, and optionally may also export data from Vertex AI's Dataset which becomes the training input, upload the Model to Vertex AI, and evaluate the Model.
Trial
A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial.
UndeployIndexOperationMetadata
Runtime operation information for IndexEndpointService.UndeployIndex.
UndeployIndexRequest
Request message for IndexEndpointService.UndeployIndex.
UndeployIndexResponse
Response message for IndexEndpointService.UndeployIndex.
UndeployModelOperationMetadata
Runtime operation information for EndpointService.UndeployModel.
UndeployModelRequest
Request message for EndpointService.UndeployModel.
UndeployModelResponse
Response message for EndpointService.UndeployModel.
UnmanagedContainerModel
Contains model information necessary to perform batch prediction without requiring a full model import.
UpdateArtifactRequest
Request message for MetadataService.UpdateArtifact.
UpdateContextRequest
Request message for MetadataService.UpdateContext.
UpdateDatasetRequest
Request message for DatasetService.UpdateDataset.
UpdateEndpointRequest
Request message for EndpointService.UpdateEndpoint.
UpdateEntityTypeRequest
Request message for FeaturestoreService.UpdateEntityType.
UpdateExecutionRequest
Request message for MetadataService.UpdateExecution.
UpdateExplanationDatasetOperationMetadata
Runtime operation information for ModelService.UpdateExplanationDataset.
UpdateExplanationDatasetRequest
Request message for ModelService.UpdateExplanationDataset.
UpdateExplanationDatasetResponse
Response message of ModelService.UpdateExplanationDataset operation.
UpdateFeatureRequest
Request message for FeaturestoreService.UpdateFeature.
UpdateFeaturestoreOperationMetadata
Details of operations that perform update Featurestore.
UpdateFeaturestoreRequest
Request message for FeaturestoreService.UpdateFeaturestore.
UpdateIndexEndpointRequest
Request message for IndexEndpointService.UpdateIndexEndpoint.
UpdateIndexOperationMetadata
Runtime operation information for IndexService.UpdateIndex.
UpdateIndexRequest
Request message for IndexService.UpdateIndex.
UpdateModelDeploymentMonitoringJobOperationMetadata
Runtime operation information for JobService.UpdateModelDeploymentMonitoringJob.
UpdateModelDeploymentMonitoringJobRequest
Request message for JobService.UpdateModelDeploymentMonitoringJob.
UpdateModelRequest
Request message for ModelService.UpdateModel.
UpdateSpecialistPoolOperationMetadata
Runtime operation metadata for SpecialistPoolService.UpdateSpecialistPool.
UpdateSpecialistPoolRequest
Request message for SpecialistPoolService.UpdateSpecialistPool.
UpdateTensorboardExperimentRequest
Request message for TensorboardService.UpdateTensorboardExperiment.
UpdateTensorboardOperationMetadata
Details of operations that perform update Tensorboard.
UpdateTensorboardRequest
Request message for TensorboardService.UpdateTensorboard.
UpdateTensorboardRunRequest
Request message for TensorboardService.UpdateTensorboardRun.
UpdateTensorboardTimeSeriesRequest
Request message for TensorboardService.UpdateTensorboardTimeSeries.
UploadModelOperationMetadata
Details of ModelService.UploadModel operation.
UploadModelRequest
Request message for ModelService.UploadModel.
UploadModelResponse
Response message of ModelService.UploadModel operation.
UpsertDatapointsRequest
Request message for IndexService.UpsertDatapoints
UpsertDatapointsResponse
Response message for IndexService.UpsertDatapoints
UserActionReference
References an API call. It contains more information about long running operation and Jobs that are triggered by the API call.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Value
Value is the value of the field.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
WorkerPoolSpec
Represents the spec of a worker pool in a job.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
WriteFeatureValuesPayload
Contains Feature values to be written for a specific entity.
WriteFeatureValuesRequest
Request message for FeaturestoreOnlineServingService.WriteFeatureValues.
WriteFeatureValuesResponse
Response message for FeaturestoreOnlineServingService.WriteFeatureValues.
WriteTensorboardExperimentDataRequest
Request message for TensorboardService.WriteTensorboardExperimentData.
WriteTensorboardExperimentDataResponse
Response message for TensorboardService.WriteTensorboardExperimentData.
WriteTensorboardRunDataRequest
Request message for TensorboardService.WriteTensorboardRunData.
WriteTensorboardRunDataResponse
Response message for TensorboardService.WriteTensorboardRunData.
XraiAttribution
An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825
Supported only by image Models.