aiplatform/v1 library

Vertex AI API - v1

Train high-quality custom machine learning models with minimal machine learning expertise and effort.

For more information, see cloud.google.com/vertex-ai/

Create an instance of AiplatformApi to access these resources:

Classes

AiplatformApi: Train high-quality custom machine learning models with minimal machine learning expertise and effort.
GoogleCloudAiplatformV1ActiveLearningConfig: Parameters that configure the active learning pipeline.
GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsRequest: Request message for MetadataService.AddContextArtifactsAndExecutions.
GoogleCloudAiplatformV1AddExecutionEventsRequest: Request message for MetadataService.AddExecutionEvents.
GoogleCloudAiplatformV1AddTrialMeasurementRequest: Request message for VizierService.AddTrialMeasurement.
GoogleCloudAiplatformV1Annotation: Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.
GoogleCloudAiplatformV1AnnotationSpec: Identifies a concept with which DataItems may be annotated with.
GoogleCloudAiplatformV1Artifact: Instance of a general artifact.
GoogleCloudAiplatformV1AssignNotebookRuntimeRequest: Request message for NotebookService.AssignNotebookRuntime.
GoogleCloudAiplatformV1Attribution: Attribution that explains a particular prediction output.
GoogleCloudAiplatformV1AutomaticResources: A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
GoogleCloudAiplatformV1AutoscalingMetricSpec: The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.
GoogleCloudAiplatformV1AvroSource: The storage details for Avro input content.
GoogleCloudAiplatformV1BatchCancelPipelineJobsRequest: Request message for PipelineService.BatchCancelPipelineJobs.
GoogleCloudAiplatformV1BatchCreateFeaturesRequest: Request message for FeaturestoreService.BatchCreateFeatures.
GoogleCloudAiplatformV1BatchCreateTensorboardRunsRequest: Request message for TensorboardService.BatchCreateTensorboardRuns.
GoogleCloudAiplatformV1BatchCreateTensorboardRunsResponse: Response message for TensorboardService.BatchCreateTensorboardRuns.
GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesRequest: Request message for TensorboardService.BatchCreateTensorboardTimeSeries.
GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesResponse: Response message for TensorboardService.BatchCreateTensorboardTimeSeries.
GoogleCloudAiplatformV1BatchDedicatedResources: A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.
GoogleCloudAiplatformV1BatchDeletePipelineJobsRequest: Request message for PipelineService.BatchDeletePipelineJobs.
GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsRequest: Request message for ModelService.BatchImportEvaluatedAnnotations
GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsResponse: Response message for ModelService.BatchImportEvaluatedAnnotations
GoogleCloudAiplatformV1BatchMigrateResourcesRequest: Request message for MigrationService.BatchMigrateResources.
GoogleCloudAiplatformV1BatchPredictionJob: A job that uses a Model to produce predictions on multiple input instances.
GoogleCloudAiplatformV1BatchPredictionJobInputConfig: Configures the input to BatchPredictionJob.
GoogleCloudAiplatformV1BatchPredictionJobInstanceConfig: Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.
GoogleCloudAiplatformV1BatchPredictionJobOutputConfig: Configures the output of BatchPredictionJob.
GoogleCloudAiplatformV1BatchPredictionJobOutputInfo: Further describes this job's output.
GoogleCloudAiplatformV1BatchReadFeatureValuesRequest: Request message for FeaturestoreService.BatchReadFeatureValues.
GoogleCloudAiplatformV1BatchReadFeatureValuesRequestEntityTypeSpec: Selects Features of an EntityType to read values of and specifies read settings.
GoogleCloudAiplatformV1BatchReadFeatureValuesRequestPassThroughField: Describe pass-through fields in read_instance source.
GoogleCloudAiplatformV1BatchReadTensorboardTimeSeriesDataResponse: Response message for TensorboardService.BatchReadTensorboardTimeSeriesData.
GoogleCloudAiplatformV1BigQueryDestination: The BigQuery location for the output content.
GoogleCloudAiplatformV1BigQuerySource: The BigQuery location for the input content.
GoogleCloudAiplatformV1Blob: Content blob.
GoogleCloudAiplatformV1BlurBaselineConfig: Config for blur baseline.
GoogleCloudAiplatformV1BoolArray: A list of boolean values.
GoogleCloudAiplatformV1Candidate: A response candidate generated from the model.
GoogleCloudAiplatformV1Citation: Source attributions for content.
GoogleCloudAiplatformV1CitationMetadata: A collection of source attributions for a piece of content.
GoogleCloudAiplatformV1CompleteTrialRequest: Request message for VizierService.CompleteTrial.
GoogleCloudAiplatformV1CompletionStats: Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.
GoogleCloudAiplatformV1ComputeTokensRequest: Request message for ComputeTokens RPC call.
GoogleCloudAiplatformV1ComputeTokensResponse: Response message for ComputeTokens RPC call.
GoogleCloudAiplatformV1ContainerRegistryDestination: The Container Registry location for the container image.
GoogleCloudAiplatformV1ContainerSpec: The spec of a Container.
GoogleCloudAiplatformV1Content: The base structured datatype containing multi-part content of a message.
GoogleCloudAiplatformV1Context: Instance of a general context.
GoogleCloudAiplatformV1CopyModelRequest: Request message for ModelService.CopyModel.
GoogleCloudAiplatformV1CountTokensRequest: Request message for PredictionService.CountTokens.
GoogleCloudAiplatformV1CountTokensResponse: Response message for PredictionService.CountTokens.
GoogleCloudAiplatformV1CreateDeploymentResourcePoolRequest: Request message for CreateDeploymentResourcePool method.
GoogleCloudAiplatformV1CreateFeatureRequest: Request message for FeaturestoreService.CreateFeature.
GoogleCloudAiplatformV1CreatePipelineJobRequest: Request message for PipelineService.CreatePipelineJob.
GoogleCloudAiplatformV1CreateTensorboardRunRequest: Request message for TensorboardService.CreateTensorboardRun.
GoogleCloudAiplatformV1CreateTensorboardTimeSeriesRequest: Request message for TensorboardService.CreateTensorboardTimeSeries.
GoogleCloudAiplatformV1CsvDestination: The storage details for CSV output content.
GoogleCloudAiplatformV1CsvSource: The storage details for CSV input content.
GoogleCloudAiplatformV1CustomJob: Represents a job that runs custom workloads such as a Docker container or a Python package.
GoogleCloudAiplatformV1CustomJobSpec: Represents the spec of a CustomJob.
GoogleCloudAiplatformV1DataItem: A piece of data in a Dataset.
GoogleCloudAiplatformV1DataItemView: A container for a single DataItem and Annotations on it.
GoogleCloudAiplatformV1DataLabelingJob: DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:
GoogleCloudAiplatformV1Dataset: A collection of DataItems and Annotations on them.
GoogleCloudAiplatformV1DatasetDistribution: Distribution computed over a tuning dataset.
GoogleCloudAiplatformV1DatasetDistributionDistributionBucket: Dataset bucket used to create a histogram for the distribution given a population of values.
GoogleCloudAiplatformV1DatasetStats: Statistics computed over a tuning dataset.
GoogleCloudAiplatformV1DatasetVersion: Describes the dataset version.
GoogleCloudAiplatformV1DedicatedResources: A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.
GoogleCloudAiplatformV1DeleteFeatureValuesRequest: Request message for FeaturestoreService.DeleteFeatureValues.
GoogleCloudAiplatformV1DeleteFeatureValuesRequestSelectEntity: Message to select entity.
GoogleCloudAiplatformV1DeleteFeatureValuesRequestSelectTimeRangeAndFeature: Message to select time range and feature.
GoogleCloudAiplatformV1DeployedIndex: A deployment of an Index.
GoogleCloudAiplatformV1DeployedIndexAuthConfig: Used to set up the auth on the DeployedIndex's private endpoint.
GoogleCloudAiplatformV1DeployedIndexAuthConfigAuthProvider: Configuration for an authentication provider, including support for [JSON Web Token (JWT)](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32).
GoogleCloudAiplatformV1DeployedIndexRef: Points to a DeployedIndex.
GoogleCloudAiplatformV1DeployedModel: A deployment of a Model.
GoogleCloudAiplatformV1DeployedModelRef: Points to a DeployedModel.
GoogleCloudAiplatformV1DeployIndexRequest: Request message for IndexEndpointService.DeployIndex.
GoogleCloudAiplatformV1DeploymentResourcePool: A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.
GoogleCloudAiplatformV1DeployModelRequest: Request message for EndpointService.DeployModel.
GoogleCloudAiplatformV1DestinationFeatureSetting
GoogleCloudAiplatformV1DirectPredictRequest: Request message for PredictionService.DirectPredict.
GoogleCloudAiplatformV1DirectPredictResponse: Response message for PredictionService.DirectPredict.
GoogleCloudAiplatformV1DirectRawPredictRequest: Request message for PredictionService.DirectRawPredict.
GoogleCloudAiplatformV1DirectRawPredictResponse: Response message for PredictionService.DirectRawPredict.
GoogleCloudAiplatformV1DistillationDataStats: Statistics computed for datasets used for distillation.
GoogleCloudAiplatformV1DoubleArray: A list of double values.
GoogleCloudAiplatformV1EncryptionSpec: Represents a customer-managed encryption key spec that can be applied to a top-level resource.
GoogleCloudAiplatformV1Endpoint: Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.
GoogleCloudAiplatformV1EntityIdSelector: Selector for entityId.
GoogleCloudAiplatformV1EntityType: An entity type is a type of object in a system that needs to be modeled and have stored information about.
GoogleCloudAiplatformV1EnvVar: Represents an environment variable present in a Container or Python Module.
GoogleCloudAiplatformV1ErrorAnalysisAnnotation: Model error analysis for each annotation.
GoogleCloudAiplatformV1ErrorAnalysisAnnotationAttributedItem: Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.
GoogleCloudAiplatformV1EvaluatedAnnotation: True positive, false positive, or false negative.
GoogleCloudAiplatformV1EvaluatedAnnotationExplanation: Explanation result of the prediction produced by the Model.
GoogleCloudAiplatformV1Event: An edge describing the relationship between an Artifact and an Execution in a lineage graph.
GoogleCloudAiplatformV1Examples: Example-based explainability that returns the nearest neighbors from the provided dataset.
GoogleCloudAiplatformV1ExamplesExampleGcsSource: The Cloud Storage input instances.
GoogleCloudAiplatformV1ExamplesOverride: Overrides for example-based explanations.
GoogleCloudAiplatformV1ExamplesRestrictionsNamespace: Restrictions namespace for example-based explanations overrides.
GoogleCloudAiplatformV1Execution: Instance of a general execution.
GoogleCloudAiplatformV1ExplainRequest: Request message for PredictionService.Explain.
GoogleCloudAiplatformV1ExplainResponse: Response message for PredictionService.Explain.
GoogleCloudAiplatformV1Explanation: Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given instance.
GoogleCloudAiplatformV1ExplanationMetadata: Metadata describing the Model's input and output for explanation.
GoogleCloudAiplatformV1ExplanationMetadataInputMetadata: Metadata of the input of a feature.
GoogleCloudAiplatformV1ExplanationMetadataInputMetadataFeatureValueDomain: Domain details of the input feature value.
GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization: Visualization configurations for image explanation.
GoogleCloudAiplatformV1ExplanationMetadataOutputMetadata: Metadata of the prediction output to be explained.
GoogleCloudAiplatformV1ExplanationMetadataOverride: The ExplanationMetadata entries that can be overridden at online explanation time.
GoogleCloudAiplatformV1ExplanationMetadataOverrideInputMetadataOverride: The input metadata entries to be overridden.
GoogleCloudAiplatformV1ExplanationParameters: Parameters to configure explaining for Model's predictions.
GoogleCloudAiplatformV1ExplanationSpec: Specification of Model explanation.
GoogleCloudAiplatformV1ExplanationSpecOverride: The ExplanationSpec entries that can be overridden at online explanation time.
GoogleCloudAiplatformV1ExportDataConfig: Describes what part of the Dataset is to be exported, the destination of the export and how to export.
GoogleCloudAiplatformV1ExportDataRequest: Request message for DatasetService.ExportData.
GoogleCloudAiplatformV1ExportFeatureValuesRequest: Request message for FeaturestoreService.ExportFeatureValues.
GoogleCloudAiplatformV1ExportFeatureValuesRequestFullExport: Describes exporting all historical Feature values of all entities of the EntityType between [start_time, end_time].
GoogleCloudAiplatformV1ExportFeatureValuesRequestSnapshotExport: Describes exporting the latest Feature values of all entities of the EntityType between [start_time, snapshot_time].
GoogleCloudAiplatformV1ExportModelRequest: Request message for ModelService.ExportModel.
GoogleCloudAiplatformV1ExportModelRequestOutputConfig: Output configuration for the Model export.
GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataRequest: Request message for TensorboardService.ExportTensorboardTimeSeriesData.
GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataResponse: Response message for TensorboardService.ExportTensorboardTimeSeriesData.
GoogleCloudAiplatformV1Feature: Feature Metadata information.
GoogleCloudAiplatformV1FeatureGroup: Vertex AI Feature Group.
GoogleCloudAiplatformV1FeatureGroupBigQuery: Input source type for BigQuery Tables and Views.
GoogleCloudAiplatformV1FeatureMonitoringStatsAnomaly: A list of historical SnapshotAnalysis or ImportFeaturesAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.
GoogleCloudAiplatformV1FeatureNoiseSigma: Noise sigma by features.
GoogleCloudAiplatformV1FeatureNoiseSigmaNoiseSigmaForFeature: Noise sigma for a single feature.
GoogleCloudAiplatformV1FeatureOnlineStore: Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency.
GoogleCloudAiplatformV1FeatureOnlineStoreBigtable
GoogleCloudAiplatformV1FeatureOnlineStoreBigtableAutoScaling
GoogleCloudAiplatformV1FeatureOnlineStoreDedicatedServingEndpoint: The dedicated serving endpoint for this FeatureOnlineStore.
GoogleCloudAiplatformV1FeatureSelector: Selector for Features of an EntityType.
GoogleCloudAiplatformV1FeatureStatsAnomaly: Stats and Anomaly generated at specific timestamp for specific Feature.
GoogleCloudAiplatformV1Featurestore: Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features.
GoogleCloudAiplatformV1FeaturestoreMonitoringConfig: Configuration of how features in Featurestore are monitored.
GoogleCloudAiplatformV1FeaturestoreMonitoringConfigImportFeaturesAnalysis: Configuration of the Featurestore's ImportFeature Analysis Based Monitoring.
GoogleCloudAiplatformV1FeaturestoreMonitoringConfigSnapshotAnalysis: Configuration of the Featurestore's Snapshot Analysis Based Monitoring.
GoogleCloudAiplatformV1FeaturestoreMonitoringConfigThresholdConfig: The config for Featurestore Monitoring threshold.
GoogleCloudAiplatformV1FeaturestoreOnlineServingConfig: OnlineServingConfig specifies the details for provisioning online serving resources.
GoogleCloudAiplatformV1FeaturestoreOnlineServingConfigScaling: Online serving scaling configuration.
GoogleCloudAiplatformV1FeatureValue: Value for a feature.
GoogleCloudAiplatformV1FeatureValueDestination: A destination location for Feature values and format.
GoogleCloudAiplatformV1FeatureValueList: Container for list of values.
GoogleCloudAiplatformV1FeatureValueMetadata: Metadata of feature value.
GoogleCloudAiplatformV1FeatureView: FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.
GoogleCloudAiplatformV1FeatureViewBigQuerySource
GoogleCloudAiplatformV1FeatureViewDataKey: Lookup key for a feature view.
GoogleCloudAiplatformV1FeatureViewDataKeyCompositeKey: ID that is comprised from several parts (columns).
GoogleCloudAiplatformV1FeatureViewFeatureRegistrySource: A Feature Registry source for features that need to be synced to Online Store.
GoogleCloudAiplatformV1FeatureViewFeatureRegistrySourceFeatureGroup: Features belonging to a single feature group that will be synced to Online Store.
GoogleCloudAiplatformV1FeatureViewIndexConfig: Configuration for vector indexing.
GoogleCloudAiplatformV1FeatureViewIndexConfigTreeAHConfig: Configuration options for the tree-AH algorithm.
GoogleCloudAiplatformV1FeatureViewSync: FeatureViewSync is a representation of sync operation which copies data from data source to Feature View in Online Store.
GoogleCloudAiplatformV1FeatureViewSyncConfig: Configuration for Sync.
GoogleCloudAiplatformV1FeatureViewSyncSyncSummary: Summary from the Sync job.
GoogleCloudAiplatformV1FetchFeatureValuesRequest: Request message for FeatureOnlineStoreService.FetchFeatureValues.
GoogleCloudAiplatformV1FetchFeatureValuesResponse: Response message for FeatureOnlineStoreService.FetchFeatureValues
GoogleCloudAiplatformV1FetchFeatureValuesResponseFeatureNameValuePairList: Response structure in the format of key (feature name) and (feature) value pair.
GoogleCloudAiplatformV1FetchFeatureValuesResponseFeatureNameValuePairListFeatureNameValuePair: Feature name & value pair.
GoogleCloudAiplatformV1FileData: URI based data.
GoogleCloudAiplatformV1FindNeighborsRequest: The request message for MatchService.FindNeighbors.
GoogleCloudAiplatformV1FindNeighborsRequestQuery: A query to find a number of the nearest neighbors (most similar vectors) of a vector.
GoogleCloudAiplatformV1FindNeighborsRequestQueryRRF: Parameters for RRF algorithm that combines search results.
GoogleCloudAiplatformV1FindNeighborsResponse: The response message for MatchService.FindNeighbors.
GoogleCloudAiplatformV1FindNeighborsResponseNearestNeighbors: Nearest neighbors for one query.
GoogleCloudAiplatformV1FindNeighborsResponseNeighbor: A neighbor of the query vector.
GoogleCloudAiplatformV1FunctionCall: A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values.
GoogleCloudAiplatformV1FunctionCallingConfig: Function calling config.
GoogleCloudAiplatformV1FunctionDeclaration: Structured representation of a function declaration as defined by the OpenAPI 3.0 specification.
GoogleCloudAiplatformV1FunctionResponse: The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model.
GoogleCloudAiplatformV1GcsDestination: The Google Cloud Storage location where the output is to be written to.
GoogleCloudAiplatformV1GcsSource: The Google Cloud Storage location for the input content.
GoogleCloudAiplatformV1GenerateContentRequest: Request message for [PredictionService.GenerateContent].
GoogleCloudAiplatformV1GenerateContentResponse: Response message for [PredictionService.GenerateContent].
GoogleCloudAiplatformV1GenerateContentResponsePromptFeedback: Content filter results for a prompt sent in the request.
GoogleCloudAiplatformV1GenerateContentResponseUsageMetadata: Usage metadata about response(s).
GoogleCloudAiplatformV1GenerationConfig: Generation config.
GoogleCloudAiplatformV1GenieSource: Contains information about the source of the models generated from Generative AI Studio.
GoogleCloudAiplatformV1GroundingMetadata: Metadata returned to client when grounding is enabled.
GoogleCloudAiplatformV1HyperparameterTuningJob: Represents a HyperparameterTuningJob.
GoogleCloudAiplatformV1IdMatcher: Matcher for Features of an EntityType by Feature ID.
GoogleCloudAiplatformV1ImportDataConfig: 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.
GoogleCloudAiplatformV1ImportDataRequest: Request message for DatasetService.ImportData.
GoogleCloudAiplatformV1ImportFeatureValuesRequest: Request message for FeaturestoreService.ImportFeatureValues.
GoogleCloudAiplatformV1ImportFeatureValuesRequestFeatureSpec: Defines the Feature value(s) to import.
GoogleCloudAiplatformV1ImportModelEvaluationRequest: Request message for ModelService.ImportModelEvaluation
GoogleCloudAiplatformV1Index: A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
GoogleCloudAiplatformV1IndexDatapoint: A datapoint of Index.
GoogleCloudAiplatformV1IndexDatapointCrowdingTag: Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.
GoogleCloudAiplatformV1IndexDatapointNumericRestriction: This field allows restricts to be based on numeric comparisons rather than categorical tokens.
GoogleCloudAiplatformV1IndexDatapointRestriction: Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).
GoogleCloudAiplatformV1IndexDatapointSparseEmbedding: Feature embedding vector for sparse index.
GoogleCloudAiplatformV1IndexEndpoint: Indexes are deployed into it.
GoogleCloudAiplatformV1IndexPrivateEndpoints: IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g. private service access, private service connect).
GoogleCloudAiplatformV1IndexStats: Stats of the Index.
GoogleCloudAiplatformV1InputDataConfig: Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.
GoogleCloudAiplatformV1Int64Array: A list of int64 values.
GoogleCloudAiplatformV1IntegratedGradientsAttribution: An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure.
GoogleCloudAiplatformV1LargeModelReference: Contains information about the Large Model.
GoogleCloudAiplatformV1LineageSubgraph: A subgraph of the overall lineage graph.
GoogleCloudAiplatformV1ListAnnotationsResponse: Response message for DatasetService.ListAnnotations.
GoogleCloudAiplatformV1ListArtifactsResponse: Response message for MetadataService.ListArtifacts.
GoogleCloudAiplatformV1ListBatchPredictionJobsResponse: Response message for JobService.ListBatchPredictionJobs
GoogleCloudAiplatformV1ListContextsResponse: Response message for MetadataService.ListContexts.
GoogleCloudAiplatformV1ListCustomJobsResponse: Response message for JobService.ListCustomJobs
GoogleCloudAiplatformV1ListDataItemsResponse: Response message for DatasetService.ListDataItems.
GoogleCloudAiplatformV1ListDataLabelingJobsResponse: Response message for JobService.ListDataLabelingJobs.
GoogleCloudAiplatformV1ListDatasetsResponse: Response message for DatasetService.ListDatasets.
GoogleCloudAiplatformV1ListDatasetVersionsResponse: Response message for DatasetService.ListDatasetVersions.
GoogleCloudAiplatformV1ListDeploymentResourcePoolsResponse: Response message for ListDeploymentResourcePools method.
GoogleCloudAiplatformV1ListEndpointsResponse: Response message for EndpointService.ListEndpoints.
GoogleCloudAiplatformV1ListEntityTypesResponse: Response message for FeaturestoreService.ListEntityTypes.
GoogleCloudAiplatformV1ListExecutionsResponse: Response message for MetadataService.ListExecutions.
GoogleCloudAiplatformV1ListFeatureGroupsResponse: Response message for FeatureRegistryService.ListFeatureGroups.
GoogleCloudAiplatformV1ListFeatureOnlineStoresResponse: Response message for FeatureOnlineStoreAdminService.ListFeatureOnlineStores.
GoogleCloudAiplatformV1ListFeaturesResponse: Response message for FeaturestoreService.ListFeatures.
GoogleCloudAiplatformV1ListFeaturestoresResponse: Response message for FeaturestoreService.ListFeaturestores.
GoogleCloudAiplatformV1ListFeatureViewsResponse: Response message for FeatureOnlineStoreAdminService.ListFeatureViews.
GoogleCloudAiplatformV1ListFeatureViewSyncsResponse: Response message for FeatureOnlineStoreAdminService.ListFeatureViewSyncs.
GoogleCloudAiplatformV1ListHyperparameterTuningJobsResponse: Response message for JobService.ListHyperparameterTuningJobs
GoogleCloudAiplatformV1ListIndexEndpointsResponse: Response message for IndexEndpointService.ListIndexEndpoints.
GoogleCloudAiplatformV1ListIndexesResponse: Response message for IndexService.ListIndexes.
GoogleCloudAiplatformV1ListMetadataSchemasResponse: Response message for MetadataService.ListMetadataSchemas.
GoogleCloudAiplatformV1ListMetadataStoresResponse: Response message for MetadataService.ListMetadataStores.
GoogleCloudAiplatformV1ListModelDeploymentMonitoringJobsResponse: Response message for JobService.ListModelDeploymentMonitoringJobs.
GoogleCloudAiplatformV1ListModelEvaluationSlicesResponse: Response message for ModelService.ListModelEvaluationSlices.
GoogleCloudAiplatformV1ListModelEvaluationsResponse: Response message for ModelService.ListModelEvaluations.
GoogleCloudAiplatformV1ListModelsResponse: Response message for ModelService.ListModels
GoogleCloudAiplatformV1ListModelVersionsResponse: Response message for ModelService.ListModelVersions
GoogleCloudAiplatformV1ListNasJobsResponse: Response message for JobService.ListNasJobs
GoogleCloudAiplatformV1ListNasTrialDetailsResponse: Response message for JobService.ListNasTrialDetails
GoogleCloudAiplatformV1ListNotebookRuntimesResponse: Response message for NotebookService.ListNotebookRuntimes.
GoogleCloudAiplatformV1ListNotebookRuntimeTemplatesResponse: Response message for NotebookService.ListNotebookRuntimeTemplates.
GoogleCloudAiplatformV1ListOptimalTrialsResponse: Response message for VizierService.ListOptimalTrials.
GoogleCloudAiplatformV1ListPersistentResourcesResponse: Response message for PersistentResourceService.ListPersistentResources
GoogleCloudAiplatformV1ListPipelineJobsResponse: Response message for PipelineService.ListPipelineJobs
GoogleCloudAiplatformV1ListSavedQueriesResponse: Response message for DatasetService.ListSavedQueries.
GoogleCloudAiplatformV1ListSchedulesResponse: Response message for ScheduleService.ListSchedules
GoogleCloudAiplatformV1ListSpecialistPoolsResponse: Response message for SpecialistPoolService.ListSpecialistPools.
GoogleCloudAiplatformV1ListStudiesResponse: Response message for VizierService.ListStudies.
GoogleCloudAiplatformV1ListTensorboardExperimentsResponse: Response message for TensorboardService.ListTensorboardExperiments.
GoogleCloudAiplatformV1ListTensorboardRunsResponse: Response message for TensorboardService.ListTensorboardRuns.
GoogleCloudAiplatformV1ListTensorboardsResponse: Response message for TensorboardService.ListTensorboards.
GoogleCloudAiplatformV1ListTensorboardTimeSeriesResponse: Response message for TensorboardService.ListTensorboardTimeSeries.
GoogleCloudAiplatformV1ListTrainingPipelinesResponse: Response message for PipelineService.ListTrainingPipelines
GoogleCloudAiplatformV1ListTrialsResponse: Response message for VizierService.ListTrials.
GoogleCloudAiplatformV1ListTuningJobsResponse: Response message for GenAiTuningService.ListTuningJobs
GoogleCloudAiplatformV1LookupStudyRequest: Request message for VizierService.LookupStudy.
GoogleCloudAiplatformV1MachineSpec: Specification of a single machine.
GoogleCloudAiplatformV1ManualBatchTuningParameters: Manual batch tuning parameters.
GoogleCloudAiplatformV1Measurement: A message representing a Measurement of a Trial.
GoogleCloudAiplatformV1MeasurementMetric: A message representing a metric in the measurement.
GoogleCloudAiplatformV1MergeVersionAliasesRequest: Request message for ModelService.MergeVersionAliases.
GoogleCloudAiplatformV1MetadataSchema: Instance of a general MetadataSchema.
GoogleCloudAiplatformV1MetadataStore: Instance of a metadata store.
GoogleCloudAiplatformV1MetadataStoreDataplexConfig: Represents Dataplex integration settings.
GoogleCloudAiplatformV1MetadataStoreMetadataStoreState: Represents state information for a MetadataStore.
GoogleCloudAiplatformV1MigratableResource: Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.
GoogleCloudAiplatformV1MigratableResourceAutomlDataset: Represents one Dataset in automl.googleapis.com.
GoogleCloudAiplatformV1MigratableResourceAutomlModel: Represents one Model in automl.googleapis.com.
GoogleCloudAiplatformV1MigratableResourceDataLabelingDataset: Represents one Dataset in datalabeling.googleapis.com.
GoogleCloudAiplatformV1MigratableResourceDataLabelingDatasetDataLabelingAnnotatedDataset: Represents one AnnotatedDataset in datalabeling.googleapis.com.
GoogleCloudAiplatformV1MigratableResourceMlEngineModelVersion: Represents one model Version in ml.googleapis.com.
GoogleCloudAiplatformV1MigrateResourceRequest: Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
GoogleCloudAiplatformV1MigrateResourceRequestMigrateAutomlDatasetConfig: Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.
GoogleCloudAiplatformV1MigrateResourceRequestMigrateAutomlModelConfig: Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
GoogleCloudAiplatformV1MigrateResourceRequestMigrateDataLabelingDatasetConfig: Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.
GoogleCloudAiplatformV1MigrateResourceRequestMigrateDataLabelingDatasetConfigMigrateDataLabelingAnnotatedDatasetConfig: Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.
GoogleCloudAiplatformV1MigrateResourceRequestMigrateMlEngineModelVersionConfig: Config for migrating version in ml.googleapis.com to Vertex AI's Model.
GoogleCloudAiplatformV1Model: A trained machine learning Model.
GoogleCloudAiplatformV1ModelBaseModelSource: User input field to specify the base model source.
GoogleCloudAiplatformV1ModelContainerSpec: Specification of a container for serving predictions.
GoogleCloudAiplatformV1ModelDataStats: Stats of data used for train or evaluate the Model.
GoogleCloudAiplatformV1ModelDeploymentMonitoringBigQueryTable: ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.
GoogleCloudAiplatformV1ModelDeploymentMonitoringJob: Represents a job that runs periodically to monitor the deployed models in an endpoint.
GoogleCloudAiplatformV1ModelDeploymentMonitoringJobLatestMonitoringPipelineMetadata: All metadata of most recent monitoring pipelines.
GoogleCloudAiplatformV1ModelDeploymentMonitoringObjectiveConfig: ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.
GoogleCloudAiplatformV1ModelDeploymentMonitoringScheduleConfig: The config for scheduling monitoring job.
GoogleCloudAiplatformV1ModelEvaluation: A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.
GoogleCloudAiplatformV1ModelEvaluationModelEvaluationExplanationSpec
GoogleCloudAiplatformV1ModelEvaluationSlice: A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.
GoogleCloudAiplatformV1ModelEvaluationSliceSlice: Definition of a slice.
GoogleCloudAiplatformV1ModelEvaluationSliceSliceSliceSpec: Specification for how the data should be sliced.
GoogleCloudAiplatformV1ModelEvaluationSliceSliceSliceSpecRange: A range of values for slice(s).
GoogleCloudAiplatformV1ModelEvaluationSliceSliceSliceSpecSliceConfig: Specification message containing the config for this SliceSpec.
GoogleCloudAiplatformV1ModelEvaluationSliceSliceSliceSpecValue: Single value that supports strings and floats.
GoogleCloudAiplatformV1ModelExplanation: Aggregated explanation metrics for a Model over a set of instances.
GoogleCloudAiplatformV1ModelExportFormat: Represents export format supported by the Model.
GoogleCloudAiplatformV1ModelGardenSource: Contains information about the source of the models generated from Model Garden.
GoogleCloudAiplatformV1ModelMonitoringAlertConfig: The alert config for model monitoring.
GoogleCloudAiplatformV1ModelMonitoringAlertConfigEmailAlertConfig: The config for email alert.
GoogleCloudAiplatformV1ModelMonitoringObjectiveConfig: The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.
GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigExplanationConfig: The config for integrating with Vertex Explainable AI.
GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigExplanationConfigExplanationBaseline: Output from BatchPredictionJob for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.
GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigPredictionDriftDetectionConfig: The config for Prediction data drift detection.
GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingDataset: Training Dataset information.
GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig: The config for Training & Prediction data skew detection.
GoogleCloudAiplatformV1ModelMonitoringStatsAnomalies: Statistics and anomalies generated by Model Monitoring.
GoogleCloudAiplatformV1ModelMonitoringStatsAnomaliesFeatureHistoricStatsAnomalies: Historical Stats (and Anomalies) for a specific Feature.
GoogleCloudAiplatformV1ModelOriginalModelInfo: Contains information about the original Model if this Model is a copy.
GoogleCloudAiplatformV1MutateDeployedModelRequest: Request message for EndpointService.MutateDeployedModel.
GoogleCloudAiplatformV1NasJob: Represents a Neural Architecture Search (NAS) job.
GoogleCloudAiplatformV1NasJobOutput: Represents a uCAIP NasJob output.
GoogleCloudAiplatformV1NasJobOutputMultiTrialJobOutput: The output of a multi-trial Neural Architecture Search (NAS) jobs.
GoogleCloudAiplatformV1NasJobSpec: Represents the spec of a NasJob.
GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpec: The spec of multi-trial Neural Architecture Search (NAS).
GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpec: Represents a metric to optimize.
GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpec: Represent spec for search trials.
GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpec: Represent spec for train trials.
GoogleCloudAiplatformV1NasTrial: Represents a uCAIP NasJob trial.
GoogleCloudAiplatformV1NasTrialDetail: Represents a NasTrial details along with its parameters.
GoogleCloudAiplatformV1NearestNeighborQuery: A query to find a number of similar entities.
GoogleCloudAiplatformV1NearestNeighborQueryEmbedding: The embedding vector.
GoogleCloudAiplatformV1NearestNeighborQueryParameters: Parameters that can be overrided in each query to tune query latency and recall.
GoogleCloudAiplatformV1NearestNeighborQueryStringFilter: String filter is used to search a subset of the entities by using boolean rules on string columns.
GoogleCloudAiplatformV1NearestNeighbors: Nearest neighbors for one query.
GoogleCloudAiplatformV1NearestNeighborsNeighbor: A neighbor of the query vector.
GoogleCloudAiplatformV1Neighbor: Neighbors for example-based explanations.
GoogleCloudAiplatformV1NetworkSpec: Network spec.
GoogleCloudAiplatformV1NfsMount: Represents a mount configuration for Network File System (NFS) to mount.
GoogleCloudAiplatformV1NotebookEucConfig: The euc configuration of NotebookRuntimeTemplate.
GoogleCloudAiplatformV1NotebookIdleShutdownConfig: The idle shutdown configuration of NotebookRuntimeTemplate, which contains the idle_timeout as required field.
GoogleCloudAiplatformV1NotebookRuntime: A runtime is a virtual machine allocated to a particular user for a particular Notebook file on temporary basis with lifetime limited to 24 hours.
GoogleCloudAiplatformV1NotebookRuntimeTemplate: A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc.
GoogleCloudAiplatformV1NotebookRuntimeTemplateRef: Points to a NotebookRuntimeTemplateRef.
GoogleCloudAiplatformV1Part: A datatype containing media that is part of a multi-part Content message.
GoogleCloudAiplatformV1PersistentDiskSpec: Represents the spec of persistent disk options.
GoogleCloudAiplatformV1PersistentResource: Represents long-lasting resources that are dedicated to users to runs custom workloads.
GoogleCloudAiplatformV1PipelineJob: An instance of a machine learning PipelineJob.
GoogleCloudAiplatformV1PipelineJobDetail: The runtime detail of PipelineJob.
GoogleCloudAiplatformV1PipelineJobRuntimeConfig: The runtime config of a PipelineJob.
GoogleCloudAiplatformV1PipelineJobRuntimeConfigInputArtifact: The type of an input artifact.
GoogleCloudAiplatformV1PipelineTaskDetail: The runtime detail of a task execution.
GoogleCloudAiplatformV1PipelineTaskDetailArtifactList: A list of artifact metadata.
GoogleCloudAiplatformV1PipelineTaskDetailPipelineTaskStatus: A single record of the task status.
GoogleCloudAiplatformV1PipelineTaskExecutorDetail: The runtime detail of a pipeline executor.
GoogleCloudAiplatformV1PipelineTaskExecutorDetailContainerDetail: The detail of a container execution.
GoogleCloudAiplatformV1PipelineTaskExecutorDetailCustomJobDetail: The detailed info for a custom job executor.
GoogleCloudAiplatformV1PipelineTemplateMetadata: Pipeline template metadata if PipelineJob.template_uri is from supported template registry.
GoogleCloudAiplatformV1Port: Represents a network port in a container.
GoogleCloudAiplatformV1PredefinedSplit: Assigns input data to training, validation, and test sets based on the value of a provided key.
GoogleCloudAiplatformV1PredictRequest: Request message for PredictionService.Predict.
GoogleCloudAiplatformV1PredictRequestResponseLoggingConfig: Configuration for logging request-response to a BigQuery table.
GoogleCloudAiplatformV1PredictResponse: Response message for PredictionService.Predict.
GoogleCloudAiplatformV1PredictSchemata: Contains the schemata used in Model's predictions and explanations via PredictionService.Predict, PredictionService.Explain and BatchPredictionJob.
GoogleCloudAiplatformV1Presets: Preset configuration for example-based explanations
GoogleCloudAiplatformV1PrivateEndpoints: PrivateEndpoints proto is used to provide paths for users to send requests privately.
GoogleCloudAiplatformV1PrivateServiceConnectConfig: Represents configuration for private service connect.
GoogleCloudAiplatformV1Probe: Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic.
GoogleCloudAiplatformV1PscAutomatedEndpoints: PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.
GoogleCloudAiplatformV1PublisherModel: A Model Garden Publisher Model.
GoogleCloudAiplatformV1PublisherModelCallToAction: Actions could take on this Publisher Model.
GoogleCloudAiplatformV1PublisherModelCallToActionDeploy: Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.
GoogleCloudAiplatformV1PublisherModelCallToActionDeployGke: Configurations for PublisherModel GKE deployment
GoogleCloudAiplatformV1PublisherModelCallToActionOpenFineTuningPipelines: Open fine tuning pipelines.
GoogleCloudAiplatformV1PublisherModelCallToActionOpenNotebooks: Open notebooks.
GoogleCloudAiplatformV1PublisherModelCallToActionRegionalResourceReferences: The regional resource name or the URI.
GoogleCloudAiplatformV1PublisherModelCallToActionViewRestApi: Rest API docs.
GoogleCloudAiplatformV1PublisherModelDocumentation: A named piece of documentation.
GoogleCloudAiplatformV1PublisherModelResourceReference: Reference to a resource.
GoogleCloudAiplatformV1PurgeArtifactsRequest: Request message for MetadataService.PurgeArtifacts.
GoogleCloudAiplatformV1PurgeContextsRequest: Request message for MetadataService.PurgeContexts.
GoogleCloudAiplatformV1PurgeExecutionsRequest: Request message for MetadataService.PurgeExecutions.
GoogleCloudAiplatformV1PythonPackageSpec: The spec of a Python packaged code.
GoogleCloudAiplatformV1QueryDeployedModelsResponse: Response message for QueryDeployedModels method.
GoogleCloudAiplatformV1RawPredictRequest: Request message for PredictionService.RawPredict.
GoogleCloudAiplatformV1RayMetricSpec: Configuration for the Ray metrics.
GoogleCloudAiplatformV1RaySpec: Configuration information for the Ray cluster.
GoogleCloudAiplatformV1ReadFeatureValuesRequest: Request message for FeaturestoreOnlineServingService.ReadFeatureValues.
GoogleCloudAiplatformV1ReadFeatureValuesResponse: Response message for FeaturestoreOnlineServingService.ReadFeatureValues.
GoogleCloudAiplatformV1ReadFeatureValuesResponseEntityView: Entity view with Feature values.
GoogleCloudAiplatformV1ReadFeatureValuesResponseEntityViewData: Container to hold value(s), successive in time, for one Feature from the request.
GoogleCloudAiplatformV1ReadFeatureValuesResponseFeatureDescriptor: Metadata for requested Features.
GoogleCloudAiplatformV1ReadFeatureValuesResponseHeader: Response header with metadata for the requested ReadFeatureValuesRequest.entity_type and Features.
GoogleCloudAiplatformV1ReadIndexDatapointsRequest: The request message for MatchService.ReadIndexDatapoints.
GoogleCloudAiplatformV1ReadIndexDatapointsResponse: The response message for MatchService.ReadIndexDatapoints.
GoogleCloudAiplatformV1ReadTensorboardBlobDataResponse: Response message for TensorboardService.ReadTensorboardBlobData.
GoogleCloudAiplatformV1ReadTensorboardSizeResponse: Response message for TensorboardService.ReadTensorboardSize.
GoogleCloudAiplatformV1ReadTensorboardTimeSeriesDataResponse: Response message for TensorboardService.ReadTensorboardTimeSeriesData.
GoogleCloudAiplatformV1ReadTensorboardUsageResponse: Response message for TensorboardService.ReadTensorboardUsage.
GoogleCloudAiplatformV1ReadTensorboardUsageResponsePerMonthUsageData: Per month usage data
GoogleCloudAiplatformV1ReadTensorboardUsageResponsePerUserUsageData: Per user usage data.
GoogleCloudAiplatformV1ReinforcementLearningDataStats: Statistics computed for datasets used for reinforcement learning.
GoogleCloudAiplatformV1RemoveDatapointsRequest: Request message for IndexService.RemoveDatapoints
GoogleCloudAiplatformV1ResourcePool: Represents the spec of a group of resources of the same type, for example machine type, disk, and accelerators, in a PersistentResource.
GoogleCloudAiplatformV1ResourcePoolAutoscalingSpec: The min/max number of replicas allowed if enabling autoscaling
GoogleCloudAiplatformV1ResourceRuntime: Persistent Cluster runtime information as output
GoogleCloudAiplatformV1ResourceRuntimeSpec: Configuration for the runtime on a PersistentResource instance, including but not limited to: * Service accounts used to run the workloads.
GoogleCloudAiplatformV1ResourcesConsumed: Statistics information about resource consumption.
GoogleCloudAiplatformV1ResumeScheduleRequest: Request message for ScheduleService.ResumeSchedule.
GoogleCloudAiplatformV1Retrieval: Defines a retrieval tool that model can call to access external knowledge.
GoogleCloudAiplatformV1SafetyRating: Safety rating corresponding to the generated content.
GoogleCloudAiplatformV1SafetySetting: Safety settings.
GoogleCloudAiplatformV1SampleConfig: Active learning data sampling config.
GoogleCloudAiplatformV1SampledShapleyAttribution: An attribution method that approximates Shapley values for features that contribute to the label being predicted.
GoogleCloudAiplatformV1SamplingStrategy: Sampling Strategy for logging, can be for both training and prediction dataset.
GoogleCloudAiplatformV1SamplingStrategyRandomSampleConfig: Requests are randomly selected.
GoogleCloudAiplatformV1SavedQuery: A SavedQuery is a view of the dataset.
GoogleCloudAiplatformV1Scalar: One point viewable on a scalar metric plot.
GoogleCloudAiplatformV1Schedule: An instance of a Schedule periodically schedules runs to make API calls based on user specified time specification and API request type.
GoogleCloudAiplatformV1ScheduleRunResponse: Status of a scheduled run.
GoogleCloudAiplatformV1Scheduling: All parameters related to queuing and scheduling of custom jobs.
GoogleCloudAiplatformV1Schema: Schema is used to define the format of input/output data.
GoogleCloudAiplatformV1SearchDataItemsResponse: Response message for DatasetService.SearchDataItems.
GoogleCloudAiplatformV1SearchEntryPoint: Google search entry point.
GoogleCloudAiplatformV1SearchFeaturesResponse: Response message for FeaturestoreService.SearchFeatures.
GoogleCloudAiplatformV1SearchMigratableResourcesRequest: Request message for MigrationService.SearchMigratableResources.
GoogleCloudAiplatformV1SearchMigratableResourcesResponse: Response message for MigrationService.SearchMigratableResources.
GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesRequest: Request message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.
GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesRequestStatsAnomaliesObjective: Stats requested for specific objective.
GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesResponse: Response message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.
GoogleCloudAiplatformV1SearchNearestEntitiesRequest: The request message for FeatureOnlineStoreService.SearchNearestEntities.
GoogleCloudAiplatformV1SearchNearestEntitiesResponse: Response message for FeatureOnlineStoreService.SearchNearestEntities
GoogleCloudAiplatformV1ServiceAccountSpec: Configuration for the use of custom service account to run the workloads.
GoogleCloudAiplatformV1ShieldedVmConfig: A set of Shielded Instance options.
GoogleCloudAiplatformV1SmoothGradConfig: Config for SmoothGrad approximation of gradients.
GoogleCloudAiplatformV1SpecialistPool: SpecialistPool represents customers' own workforce to work on their data labeling jobs.
GoogleCloudAiplatformV1StratifiedSplit: 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.
GoogleCloudAiplatformV1StreamingPredictRequest: Request message for PredictionService.StreamingPredict.
GoogleCloudAiplatformV1StreamingPredictResponse: Response message for PredictionService.StreamingPredict.
GoogleCloudAiplatformV1StreamingReadFeatureValuesRequest: Request message for FeaturestoreOnlineServingService.StreamingFeatureValuesRead.
GoogleCloudAiplatformV1StreamRawPredictRequest: Request message for PredictionService.StreamRawPredict.
GoogleCloudAiplatformV1StringArray: A list of string values.
GoogleCloudAiplatformV1StructFieldValue: One field of a Struct (or object) type feature value.
GoogleCloudAiplatformV1StructValue: Struct (or object) type feature value.
GoogleCloudAiplatformV1Study: A message representing a Study.
GoogleCloudAiplatformV1StudySpec: Represents specification of a Study.
GoogleCloudAiplatformV1StudySpecConvexAutomatedStoppingSpec: Configuration for ConvexAutomatedStoppingSpec.
GoogleCloudAiplatformV1StudySpecDecayCurveAutomatedStoppingSpec: The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial.
GoogleCloudAiplatformV1StudySpecMedianAutomatedStoppingSpec: The median automated stopping rule stops a pending Trial if the Trial's best objective_value is strictly below the median 'performance' of all completed Trials reported up to the Trial's last measurement.
GoogleCloudAiplatformV1StudySpecMetricSpec: Represents a metric to optimize.
GoogleCloudAiplatformV1StudySpecMetricSpecSafetyMetricConfig: Used in safe optimization to specify threshold levels and risk tolerance.
GoogleCloudAiplatformV1StudySpecParameterSpec: Represents a single parameter to optimize.
GoogleCloudAiplatformV1StudySpecParameterSpecCategoricalValueSpec: Value specification for a parameter in CATEGORICAL type.
GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpec: Represents a parameter spec with condition from its parent parameter.
GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpecCategoricalValueCondition: Represents the spec to match categorical values from parent parameter.
GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpecDiscreteValueCondition: Represents the spec to match discrete values from parent parameter.
GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpecIntValueCondition: Represents the spec to match integer values from parent parameter.
GoogleCloudAiplatformV1StudySpecParameterSpecDiscreteValueSpec: Value specification for a parameter in DISCRETE type.
GoogleCloudAiplatformV1StudySpecParameterSpecDoubleValueSpec: Value specification for a parameter in DOUBLE type.
GoogleCloudAiplatformV1StudySpecParameterSpecIntegerValueSpec: Value specification for a parameter in INTEGER type.
GoogleCloudAiplatformV1StudySpecStudyStoppingConfig: The configuration (stopping conditions) for automated stopping of a Study.
GoogleCloudAiplatformV1StudyTimeConstraint: Time-based Constraint for Study
GoogleCloudAiplatformV1SuggestTrialsRequest: Request message for VizierService.SuggestTrials.
GoogleCloudAiplatformV1SupervisedHyperParameters: Hyperparameters for SFT.
GoogleCloudAiplatformV1SupervisedTuningDatasetDistribution: Dataset distribution for Supervised Tuning.
GoogleCloudAiplatformV1SupervisedTuningDatasetDistributionDatasetBucket: Dataset bucket used to create a histogram for the distribution given a population of values.
GoogleCloudAiplatformV1SupervisedTuningDataStats: Tuning data statistics for Supervised Tuning.
GoogleCloudAiplatformV1SupervisedTuningSpec: Tuning Spec for Supervised Tuning.
GoogleCloudAiplatformV1SyncFeatureViewResponse: Respose message for FeatureOnlineStoreAdminService.SyncFeatureView.
GoogleCloudAiplatformV1Tensor: A tensor value type.
GoogleCloudAiplatformV1Tensorboard: Tensorboard is a physical database that stores users' training metrics.
GoogleCloudAiplatformV1TensorboardBlob: One blob (e.g, image, graph) viewable on a blob metric plot.
GoogleCloudAiplatformV1TensorboardBlobSequence: 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.
GoogleCloudAiplatformV1TensorboardExperiment: A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.
GoogleCloudAiplatformV1TensorboardRun: TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc
GoogleCloudAiplatformV1TensorboardTensor: One point viewable on a tensor metric plot.
GoogleCloudAiplatformV1TensorboardTimeSeries: TensorboardTimeSeries maps to times series produced in training runs
GoogleCloudAiplatformV1TensorboardTimeSeriesMetadata: Describes metadata for a TensorboardTimeSeries.
GoogleCloudAiplatformV1TFRecordDestination: The storage details for TFRecord output content.
GoogleCloudAiplatformV1ThresholdConfig: The config for feature monitoring threshold.
GoogleCloudAiplatformV1TimeSeriesData: All the data stored in a TensorboardTimeSeries.
GoogleCloudAiplatformV1TimeSeriesDataPoint: A TensorboardTimeSeries data point.
GoogleCloudAiplatformV1TimestampSplit: Assigns input data to training, validation, and test sets based on a provided timestamps.
GoogleCloudAiplatformV1TokensInfo: Tokens info with a list of tokens and the corresponding list of token ids.
GoogleCloudAiplatformV1Tool: Tool details that the model may use to generate response.
GoogleCloudAiplatformV1ToolConfig: Tool config.
GoogleCloudAiplatformV1TrainingConfig: CMLE training config.
GoogleCloudAiplatformV1TrainingPipeline: The TrainingPipeline orchestrates tasks associated with training a Model.
GoogleCloudAiplatformV1Trial: A message representing a Trial.
GoogleCloudAiplatformV1TrialContext: Next ID: 3
GoogleCloudAiplatformV1TrialParameter: A message representing a parameter to be tuned.
GoogleCloudAiplatformV1TunedModel: The Model Registry Model and Online Prediction Endpoint assiociated with this TuningJob.
GoogleCloudAiplatformV1TuningDataStats: The tuning data statistic values for TuningJob.
GoogleCloudAiplatformV1TuningJob: Represents a TuningJob that runs with Google owned models.
GoogleCloudAiplatformV1UndeployIndexRequest: Request message for IndexEndpointService.UndeployIndex.
GoogleCloudAiplatformV1UndeployModelRequest: Request message for EndpointService.UndeployModel.
GoogleCloudAiplatformV1UnmanagedContainerModel: Contains model information necessary to perform batch prediction without requiring a full model import.
GoogleCloudAiplatformV1UpdateExplanationDatasetRequest: Request message for ModelService.UpdateExplanationDataset.
GoogleCloudAiplatformV1UploadModelRequest: Request message for ModelService.UploadModel.
GoogleCloudAiplatformV1UpsertDatapointsRequest: Request message for IndexService.UpsertDatapoints
GoogleCloudAiplatformV1UserActionReference: References an API call.
GoogleCloudAiplatformV1Value: Value is the value of the field.
GoogleCloudAiplatformV1VertexAISearch: Retrieve from Vertex AI Search datastore for grounding.
GoogleCloudAiplatformV1VideoMetadata: Metadata describes the input video content.
GoogleCloudAiplatformV1WorkerPoolSpec: Represents the spec of a worker pool in a job.
GoogleCloudAiplatformV1WriteFeatureValuesPayload: Contains Feature values to be written for a specific entity.
GoogleCloudAiplatformV1WriteFeatureValuesRequest: Request message for FeaturestoreOnlineServingService.WriteFeatureValues.
GoogleCloudAiplatformV1WriteTensorboardExperimentDataRequest: Request message for TensorboardService.WriteTensorboardExperimentData.
GoogleCloudAiplatformV1WriteTensorboardRunDataRequest: Request message for TensorboardService.WriteTensorboardRunData.
GoogleCloudAiplatformV1XraiAttribution: An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure.
GoogleCloudLocationListLocationsResponse: The response message for Locations.ListLocations.
GoogleIamV1Binding: Associates members, or principals, with a role.
GoogleIamV1Policy: An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources.
GoogleIamV1SetIamPolicyRequest: Request message for SetIamPolicy method.
GoogleLongrunningListOperationsResponse: The response message for Operations.ListOperations.
GoogleLongrunningOperation: This resource represents a long-running operation that is the result of a network API call.
ProjectsLocationsBatchPredictionJobsResource
ProjectsLocationsCustomJobsOperationsResource
ProjectsLocationsCustomJobsResource
ProjectsLocationsDataLabelingJobsOperationsResource
ProjectsLocationsDataLabelingJobsResource
ProjectsLocationsDatasetsAnnotationSpecsOperationsResource
ProjectsLocationsDatasetsAnnotationSpecsResource
ProjectsLocationsDatasetsDataItemsAnnotationsOperationsResource
ProjectsLocationsDatasetsDataItemsAnnotationsResource
ProjectsLocationsDatasetsDataItemsOperationsResource
ProjectsLocationsDatasetsDataItemsResource
ProjectsLocationsDatasetsDatasetVersionsResource
ProjectsLocationsDatasetsOperationsResource
ProjectsLocationsDatasetsResource
ProjectsLocationsDatasetsSavedQueriesOperationsResource
ProjectsLocationsDatasetsSavedQueriesResource
ProjectsLocationsDeploymentResourcePoolsOperationsResource
ProjectsLocationsDeploymentResourcePoolsResource
ProjectsLocationsEndpointsOperationsResource
ProjectsLocationsEndpointsResource
ProjectsLocationsFeatureGroupsFeaturesOperationsResource
ProjectsLocationsFeatureGroupsFeaturesResource
ProjectsLocationsFeatureGroupsOperationsResource
ProjectsLocationsFeatureGroupsResource
ProjectsLocationsFeatureOnlineStoresFeatureViewsFeatureViewSyncsResource
ProjectsLocationsFeatureOnlineStoresFeatureViewsOperationsResource
ProjectsLocationsFeatureOnlineStoresFeatureViewsResource
ProjectsLocationsFeatureOnlineStoresOperationsResource
ProjectsLocationsFeatureOnlineStoresResource
ProjectsLocationsFeaturestoresEntityTypesFeaturesOperationsResource
ProjectsLocationsFeaturestoresEntityTypesFeaturesResource
ProjectsLocationsFeaturestoresEntityTypesOperationsResource
ProjectsLocationsFeaturestoresEntityTypesResource
ProjectsLocationsFeaturestoresOperationsResource
ProjectsLocationsFeaturestoresResource
ProjectsLocationsHyperparameterTuningJobsOperationsResource
ProjectsLocationsHyperparameterTuningJobsResource
ProjectsLocationsIndexEndpointsOperationsResource
ProjectsLocationsIndexEndpointsResource
ProjectsLocationsIndexesOperationsResource
ProjectsLocationsIndexesResource
ProjectsLocationsMetadataStoresArtifactsOperationsResource
ProjectsLocationsMetadataStoresArtifactsResource
ProjectsLocationsMetadataStoresContextsOperationsResource
ProjectsLocationsMetadataStoresContextsResource
ProjectsLocationsMetadataStoresExecutionsOperationsResource
ProjectsLocationsMetadataStoresExecutionsResource
ProjectsLocationsMetadataStoresMetadataSchemasResource
ProjectsLocationsMetadataStoresOperationsResource
ProjectsLocationsMetadataStoresResource
ProjectsLocationsMigratableResourcesOperationsResource
ProjectsLocationsMigratableResourcesResource
ProjectsLocationsModelDeploymentMonitoringJobsOperationsResource
ProjectsLocationsModelDeploymentMonitoringJobsResource
ProjectsLocationsModelsEvaluationsOperationsResource
ProjectsLocationsModelsEvaluationsResource
ProjectsLocationsModelsEvaluationsSlicesResource
ProjectsLocationsModelsOperationsResource
ProjectsLocationsModelsResource
ProjectsLocationsNasJobsNasTrialDetailsResource
ProjectsLocationsNasJobsResource
ProjectsLocationsNotebookRuntimesResource
ProjectsLocationsNotebookRuntimeTemplatesResource
ProjectsLocationsOperationsResource
ProjectsLocationsPersistentResourcesOperationsResource
ProjectsLocationsPersistentResourcesResource
ProjectsLocationsPipelineJobsOperationsResource
ProjectsLocationsPipelineJobsResource
ProjectsLocationsPublishersModelsResource
ProjectsLocationsPublishersResource
ProjectsLocationsResource
ProjectsLocationsSchedulesOperationsResource
ProjectsLocationsSchedulesResource
ProjectsLocationsSpecialistPoolsOperationsResource
ProjectsLocationsSpecialistPoolsResource
ProjectsLocationsStudiesOperationsResource
ProjectsLocationsStudiesResource
ProjectsLocationsStudiesTrialsOperationsResource
ProjectsLocationsStudiesTrialsResource
ProjectsLocationsTensorboardsExperimentsOperationsResource
ProjectsLocationsTensorboardsExperimentsResource
ProjectsLocationsTensorboardsExperimentsRunsOperationsResource
ProjectsLocationsTensorboardsExperimentsRunsResource
ProjectsLocationsTensorboardsExperimentsRunsTimeSeriesOperationsResource
ProjectsLocationsTensorboardsExperimentsRunsTimeSeriesResource
ProjectsLocationsTensorboardsOperationsResource
ProjectsLocationsTensorboardsResource
ProjectsLocationsTrainingPipelinesOperationsResource
ProjectsLocationsTrainingPipelinesResource
ProjectsLocationsTuningJobsOperationsResource
ProjectsLocationsTuningJobsResource
ProjectsResource
PublishersModelsResource
PublishersResource

Typedefs

GoogleApiHttpBody = $HttpBody: Message that represents an arbitrary HTTP body.
GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse = $Empty: Response message for MetadataService.AddContextArtifactsAndExecutions.
GoogleCloudAiplatformV1AddContextChildrenRequest = $ContextChildrenRequest: Request message for MetadataService.AddContextChildren.
GoogleCloudAiplatformV1AddContextChildrenResponse = $Empty: Response message for MetadataService.AddContextChildren.
GoogleCloudAiplatformV1AddExecutionEventsResponse = $Empty: Response message for MetadataService.AddExecutionEvents.
GoogleCloudAiplatformV1CancelBatchPredictionJobRequest = $Empty: Request message for JobService.CancelBatchPredictionJob.
GoogleCloudAiplatformV1CancelCustomJobRequest = $Empty: Request message for JobService.CancelCustomJob.
GoogleCloudAiplatformV1CancelDataLabelingJobRequest = $Empty: Request message for JobService.CancelDataLabelingJob.
GoogleCloudAiplatformV1CancelHyperparameterTuningJobRequest = $Empty: Request message for JobService.CancelHyperparameterTuningJob.
GoogleCloudAiplatformV1CancelNasJobRequest = $Empty: Request message for JobService.CancelNasJob.
GoogleCloudAiplatformV1CancelPipelineJobRequest = $Empty: Request message for PipelineService.CancelPipelineJob.
GoogleCloudAiplatformV1CancelTrainingPipelineRequest = $Empty: Request message for PipelineService.CancelTrainingPipeline.
GoogleCloudAiplatformV1CancelTuningJobRequest = $Empty: Request message for GenAiTuningService.CancelTuningJob.
GoogleCloudAiplatformV1CheckTrialEarlyStoppingStateRequest = $Empty: Request message for VizierService.CheckTrialEarlyStoppingState.
GoogleCloudAiplatformV1DiskSpec = $Shared03: Represents the spec of disk options.
GoogleCloudAiplatformV1ExportFilterSplit = $FilterSplit: Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.
GoogleCloudAiplatformV1ExportFractionSplit = $FractionSplit: Assigns the input data to training, validation, and test sets as per the given fractions.
GoogleCloudAiplatformV1FeatureOnlineStoreOptimized = $Empty: Optimized storage type
GoogleCloudAiplatformV1FeatureViewIndexConfigBruteForceConfig = $Empty: Configuration options for using brute force search.
GoogleCloudAiplatformV1FilterSplit = $FilterSplit: Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.
GoogleCloudAiplatformV1FractionSplit = $FractionSplit: Assigns the input data to training, validation, and test sets as per the given fractions.
GoogleCloudAiplatformV1GoogleSearchRetrieval = $Empty: Tool to retrieve public web data for grounding, powered by Google.
GoogleCloudAiplatformV1ListOptimalTrialsRequest = $Empty: Request message for VizierService.ListOptimalTrials.
GoogleCloudAiplatformV1ModelSourceInfo = $ModelSourceInfo: Detail description of the source information of the model.
GoogleCloudAiplatformV1PauseModelDeploymentMonitoringJobRequest = $Empty: Request message for JobService.PauseModelDeploymentMonitoringJob.
GoogleCloudAiplatformV1PauseScheduleRequest = $Empty: Request message for ScheduleService.PauseSchedule.
GoogleCloudAiplatformV1ProbeExecAction = $ExecAction: ExecAction specifies a command to execute.
GoogleCloudAiplatformV1RebootPersistentResourceRequest = $Empty: Request message for PersistentResourceService.RebootPersistentResource.
GoogleCloudAiplatformV1RemoveContextChildrenRequest = $ContextChildrenRequest: Request message for MetadataService.DeleteContextChildrenRequest.
GoogleCloudAiplatformV1RemoveContextChildrenResponse = $Empty: Response message for MetadataService.RemoveContextChildren.
GoogleCloudAiplatformV1RemoveDatapointsResponse = $Empty: Response message for IndexService.RemoveDatapoints
GoogleCloudAiplatformV1ResumeModelDeploymentMonitoringJobRequest = $Empty: Request message for JobService.ResumeModelDeploymentMonitoringJob.
GoogleCloudAiplatformV1StartNotebookRuntimeRequest = $Empty: Request message for NotebookService.StartNotebookRuntime.
GoogleCloudAiplatformV1StopTrialRequest = $Empty: Request message for VizierService.StopTrial.
GoogleCloudAiplatformV1SyncFeatureViewRequest = $Empty: Request message for FeatureOnlineStoreAdminService.SyncFeatureView.
GoogleCloudAiplatformV1UpgradeNotebookRuntimeRequest = $Empty: Request message for NotebookService.UpgradeNotebookRuntime.
GoogleCloudAiplatformV1UpsertDatapointsResponse = $Empty: Response message for IndexService.UpsertDatapoints
GoogleCloudAiplatformV1WriteFeatureValuesResponse = $Empty: Response message for FeaturestoreOnlineServingService.WriteFeatureValues.
GoogleCloudAiplatformV1WriteTensorboardExperimentDataResponse = $Empty: Response message for TensorboardService.WriteTensorboardExperimentData.
GoogleCloudAiplatformV1WriteTensorboardRunDataResponse = $Empty: Response message for TensorboardService.WriteTensorboardRunData.
GoogleCloudLocationLocation = $Location00: A resource that represents a Google Cloud location.
GoogleIamV1TestIamPermissionsResponse = $PermissionsResponse: Response message for TestIamPermissions method.
GoogleProtobufEmpty = $Empty: A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs.
GoogleRpcStatus = $Status: The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs.
GoogleTypeDate = $Date: Represents a whole or partial calendar date, such as a birthday.
GoogleTypeExpr = $Expr: Represents a textual expression in the Common Expression Language (CEL) syntax.
GoogleTypeInterval = $Interval: Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive).
GoogleTypeMoney = $Money: Represents an amount of money with its currency type.

Exceptions / Errors

ApiRequestError: Represents a general error reported by the API endpoint.
DetailedApiRequestError: Represents a specific error reported by the API endpoint.

aiplatform/v1 library

Classes

Typedefs

Exceptions / Errors

googleapis package

v1 library