New creates a new Service.

NewService creates a new Service.

View your data across Google Cloud services and see the email address of your Google Account.

See, edit, configure, and delete your Google Cloud data and see the email address for your Google Account.

CloudAiLargeModelsVisionGenerateVideoResponse: Generate video response.

CloudAiLargeModelsVisionImage: Image.

CloudAiLargeModelsVisionImageImageSize: Image size.

CloudAiLargeModelsVisionImageRAIScores: RAI scores for generated image returned.

CloudAiLargeModelsVisionMedia: Media.

CloudAiLargeModelsVisionRaiInfo: Next ID: 6.

CloudAiLargeModelsVisionRaiInfoDetectedLabels: Filters returning list of deteceted labels, scores, and bounding boxes.

CloudAiLargeModelsVisionRaiInfoDetectedLabelsBoundingBox: An integer bounding box of original pixels of the image for the detected labels.

CloudAiLargeModelsVisionRaiInfoDetectedLabelsEntity: The properties for a detected entity from the rai signal.

CloudAiLargeModelsVisionVideo: Video.

CloudAiPlatformCommonCreatePipelineJobApiErrorDetail: Create API error message for Vertex Pipeline.

GoogleApiHttpBody: Message that represents an arbitrary HTTP body.

GoogleCloudAiplatformV1ActiveLearningConfig: Parameters that configure the active learning pipeline.

GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsRequest: Request message for MetadataService.AddContextArtifactsAndExecutions.

GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse: Response message for MetadataService.AddContextArtifactsAndExecutions.

GoogleCloudAiplatformV1AddContextChildrenRequest: Request message for MetadataService.AddContextChildren.

GoogleCloudAiplatformV1AddContextChildrenResponse: Response message for MetadataService.AddContextChildren.

GoogleCloudAiplatformV1AddExecutionEventsRequest: Request message for MetadataService.AddExecutionEvents.

GoogleCloudAiplatformV1AddExecutionEventsResponse: Response 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.

GoogleCloudAiplatformV1ApiAuth: The generic reusable api auth config.

GoogleCloudAiplatformV1ApiAuthApiKeyConfig: The API secret.

GoogleCloudAiplatformV1Artifact: Instance of a general artifact.

GoogleCloudAiplatformV1AssignNotebookRuntimeOperationMetadata: Metadata information for NotebookService.AssignNotebookRuntime.

GoogleCloudAiplatformV1AssignNotebookRuntimeRequest: Request message for NotebookService.AssignNotebookRuntime.

GoogleCloudAiplatformV1Attribution: Attribution that explains a particular prediction output.

GoogleCloudAiplatformV1AugmentPromptRequest: Request message for AugmentPrompt.

GoogleCloudAiplatformV1AugmentPromptRequestModel: Metadata of the backend deployed model.

GoogleCloudAiplatformV1AugmentPromptResponse: Response message for AugmentPrompt.

GoogleCloudAiplatformV1AutomaticResources: A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

GoogleCloudAiplatformV1AutoraterConfig: The configs for autorater.

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.

GoogleCloudAiplatformV1BatchCreateFeaturesOperationMetadata: Details of operations that perform batch create Features.

GoogleCloudAiplatformV1BatchCreateFeaturesRequest: Request message for FeaturestoreService.BatchCreateFeatures.

GoogleCloudAiplatformV1BatchCreateFeaturesResponse: Response 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.

GoogleCloudAiplatformV1BatchImportModelEvaluationSlicesRequest: Request message for ModelService.BatchImportModelEvaluationSlices.

GoogleCloudAiplatformV1BatchImportModelEvaluationSlicesResponse: Response message for ModelService.BatchImportModelEvaluationSlices.

GoogleCloudAiplatformV1BatchMigrateResourcesOperationMetadata: Runtime operation information for MigrationService.BatchMigrateResources.

GoogleCloudAiplatformV1BatchMigrateResourcesOperationMetadataPartialResult: Represents a partial result in batch migration operation for one MigrateResourceRequest.

GoogleCloudAiplatformV1BatchMigrateResourcesRequest: Request message for MigrationService.BatchMigrateResources.

GoogleCloudAiplatformV1BatchMigrateResourcesResponse: Response 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.

GoogleCloudAiplatformV1BatchReadFeatureValuesOperationMetadata: Details of operations that batch reads Feature values.

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.

GoogleCloudAiplatformV1BatchReadFeatureValuesResponse: Response message for FeaturestoreService.BatchReadFeatureValues.

GoogleCloudAiplatformV1BatchReadTensorboardTimeSeriesDataResponse: Response message for TensorboardService.BatchReadTensorboardTimeSeriesData.

GoogleCloudAiplatformV1BigQueryDestination: The BigQuery location for the output content.

GoogleCloudAiplatformV1BigQuerySource: The BigQuery location for the input content.

GoogleCloudAiplatformV1BleuInput: Input for bleu metric.

GoogleCloudAiplatformV1BleuInstance: Spec for bleu instance.

GoogleCloudAiplatformV1BleuMetricValue: Bleu metric value for an instance.

GoogleCloudAiplatformV1BleuResults: Results for bleu metric.

GoogleCloudAiplatformV1BleuSpec: Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1.

GoogleCloudAiplatformV1Blob: Content blob.

GoogleCloudAiplatformV1BlurBaselineConfig: Config for blur baseline.

GoogleCloudAiplatformV1BoolArray: A list of boolean values.

GoogleCloudAiplatformV1CacheConfig: Config of GenAI caching features.

GoogleCloudAiplatformV1CachedContent: A resource used in LLM queries for users to explicitly specify what to cache and how to cache.

GoogleCloudAiplatformV1CachedContentUsageMetadata: Metadata on the usage of the cached content.

GoogleCloudAiplatformV1CancelBatchPredictionJobRequest: Request message for JobService.CancelBatchPredictionJob.

GoogleCloudAiplatformV1CancelCustomJobRequest: Request message for JobService.CancelCustomJob.

GoogleCloudAiplatformV1CancelDataLabelingJobRequest: Request message for JobService.CancelDataLabelingJob.

GoogleCloudAiplatformV1CancelHyperparameterTuningJobRequest: Request message for JobService.CancelHyperparameterTuningJob.

GoogleCloudAiplatformV1CancelNasJobRequest: Request message for JobService.CancelNasJob.

GoogleCloudAiplatformV1CancelPipelineJobRequest: Request message for PipelineService.CancelPipelineJob.

GoogleCloudAiplatformV1CancelTrainingPipelineRequest: Request message for PipelineService.CancelTrainingPipeline.

GoogleCloudAiplatformV1CancelTuningJobRequest: Request message for GenAiTuningService.CancelTuningJob.

GoogleCloudAiplatformV1Candidate: A response candidate generated from the model.

GoogleCloudAiplatformV1CheckTrialEarlyStoppingStateMetatdata: This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.

GoogleCloudAiplatformV1CheckTrialEarlyStoppingStateRequest: Request message for VizierService.CheckTrialEarlyStoppingState.

GoogleCloudAiplatformV1CheckTrialEarlyStoppingStateResponse: Response message for VizierService.CheckTrialEarlyStoppingState.

GoogleCloudAiplatformV1Citation: Source attributions for content.

GoogleCloudAiplatformV1CitationMetadata: A collection of source attributions for a piece of content.

GoogleCloudAiplatformV1Claim: Claim that is extracted from the input text and facts that support it.

GoogleCloudAiplatformV1ClientConnectionConfig: Configurations (e.g.

GoogleCloudAiplatformV1CodeExecutionResult: Result of executing the [ExecutableCode].

GoogleCloudAiplatformV1CoherenceInput: Input for coherence metric.

GoogleCloudAiplatformV1CoherenceInstance: Spec for coherence instance.

GoogleCloudAiplatformV1CoherenceResult: Spec for coherence result.

GoogleCloudAiplatformV1CoherenceSpec: Spec for coherence score metric.

GoogleCloudAiplatformV1CometInput: Input for Comet metric.

GoogleCloudAiplatformV1CometInstance: Spec for Comet instance - The fields used for evaluation are dependent on the comet version.

GoogleCloudAiplatformV1CometResult: Spec for Comet result - calculates the comet score for the given instance using the version specified in the spec.

GoogleCloudAiplatformV1CometSpec: Spec for Comet metric.

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.

GoogleCloudAiplatformV1CopyModelOperationMetadata: Details of ModelService.CopyModel operation.

GoogleCloudAiplatformV1CopyModelRequest: Request message for ModelService.CopyModel.

GoogleCloudAiplatformV1CopyModelResponse: Response message of ModelService.CopyModel operation.

GoogleCloudAiplatformV1CorpusStatus: RagCorpus status.

GoogleCloudAiplatformV1CorroborateContentRequest: Request message for CorroborateContent.

GoogleCloudAiplatformV1CorroborateContentRequestParameters: Parameters that can be overrided per request.

GoogleCloudAiplatformV1CorroborateContentResponse: Response message for CorroborateContent.

GoogleCloudAiplatformV1CountTokensRequest: Request message for PredictionService.CountTokens.

GoogleCloudAiplatformV1CountTokensResponse: Response message for PredictionService.CountTokens.

GoogleCloudAiplatformV1CreateDatasetOperationMetadata: Runtime operation information for DatasetService.CreateDataset.

GoogleCloudAiplatformV1CreateDatasetVersionOperationMetadata: Runtime operation information for DatasetService.CreateDatasetVersion.

GoogleCloudAiplatformV1CreateDeploymentResourcePoolOperationMetadata: Runtime operation information for CreateDeploymentResourcePool method.

GoogleCloudAiplatformV1CreateDeploymentResourcePoolRequest: Request message for CreateDeploymentResourcePool method.

GoogleCloudAiplatformV1CreateEndpointOperationMetadata: Runtime operation information for EndpointService.CreateEndpoint.

GoogleCloudAiplatformV1CreateEntityTypeOperationMetadata: Details of operations that perform create EntityType.

GoogleCloudAiplatformV1CreateFeatureGroupOperationMetadata: Details of operations that perform create FeatureGroup.

GoogleCloudAiplatformV1CreateFeatureOnlineStoreOperationMetadata: Details of operations that perform create FeatureOnlineStore.

GoogleCloudAiplatformV1CreateFeatureOperationMetadata: Details of operations that perform create Feature.

GoogleCloudAiplatformV1CreateFeatureRequest: Request message for FeaturestoreService.CreateFeature.

GoogleCloudAiplatformV1CreateFeaturestoreOperationMetadata: Details of operations that perform create Featurestore.

GoogleCloudAiplatformV1CreateFeatureViewOperationMetadata: Details of operations that perform create FeatureView.

GoogleCloudAiplatformV1CreateIndexEndpointOperationMetadata: Runtime operation information for IndexEndpointService.CreateIndexEndpoint.

GoogleCloudAiplatformV1CreateIndexOperationMetadata: Runtime operation information for IndexService.CreateIndex.

GoogleCloudAiplatformV1CreateMetadataStoreOperationMetadata: Details of operations that perform MetadataService.CreateMetadataStore.

GoogleCloudAiplatformV1CreateNotebookExecutionJobOperationMetadata: Metadata information for NotebookService.CreateNotebookExecutionJob.

GoogleCloudAiplatformV1CreateNotebookExecutionJobRequest: Request message for [NotebookService.CreateNotebookExecutionJob].

GoogleCloudAiplatformV1CreateNotebookRuntimeTemplateOperationMetadata: Metadata information for NotebookService.CreateNotebookRuntimeTemplate.

GoogleCloudAiplatformV1CreatePersistentResourceOperationMetadata: Details of operations that perform create PersistentResource.

GoogleCloudAiplatformV1CreatePipelineJobRequest: Request message for PipelineService.CreatePipelineJob.

GoogleCloudAiplatformV1CreateRegistryFeatureOperationMetadata: Details of operations that perform create FeatureGroup.

GoogleCloudAiplatformV1CreateSpecialistPoolOperationMetadata: Runtime operation information for SpecialistPoolService.CreateSpecialistPool.

GoogleCloudAiplatformV1CreateTensorboardOperationMetadata: Details of operations that perform create Tensorboard.

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.

GoogleCloudAiplatformV1DatasetVersion: Describes the dataset version.

GoogleCloudAiplatformV1DedicatedResources: A description of resources that are dedicated to a DeployedModel or DeployedIndex, and that need a higher degree of manual configuration.

GoogleCloudAiplatformV1DeleteFeatureValuesOperationMetadata: Details of operations that delete Feature values.

GoogleCloudAiplatformV1DeleteFeatureValuesRequest: Request message for FeaturestoreService.DeleteFeatureValues.

GoogleCloudAiplatformV1DeleteFeatureValuesRequestSelectEntity: Message to select entity.

GoogleCloudAiplatformV1DeleteFeatureValuesRequestSelectTimeRangeAndFeature: Message to select time range and feature.

GoogleCloudAiplatformV1DeleteFeatureValuesResponse: Response message for FeaturestoreService.DeleteFeatureValues.

GoogleCloudAiplatformV1DeleteFeatureValuesResponseSelectEntity: Response message if the request uses the SelectEntity option.

GoogleCloudAiplatformV1DeleteFeatureValuesResponseSelectTimeRangeAndFeature: Response message if the request uses the SelectTimeRangeAndFeature option.

GoogleCloudAiplatformV1DeleteMetadataStoreOperationMetadata: Details of operations that perform MetadataService.DeleteMetadataStore.

GoogleCloudAiplatformV1DeleteOperationMetadata: Details of operations that perform deletes of any entities.

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.

GoogleCloudAiplatformV1DeployedModelStatus: Runtime status of the deployed model.

GoogleCloudAiplatformV1DeployIndexOperationMetadata: Runtime operation information for IndexEndpointService.DeployIndex.

GoogleCloudAiplatformV1DeployIndexRequest: Request message for IndexEndpointService.DeployIndex.

GoogleCloudAiplatformV1DeployIndexResponse: Response message for IndexEndpointService.DeployIndex.

GoogleCloudAiplatformV1DeploymentResourcePool: A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.

GoogleCloudAiplatformV1DeployModelOperationMetadata: Runtime operation information for EndpointService.DeployModel.

GoogleCloudAiplatformV1DeployModelRequest: Request message for EndpointService.DeployModel.

GoogleCloudAiplatformV1DeployModelResponse: Response message for EndpointService.DeployModel.

GoogleCloudAiplatformV1DirectPredictRequest: Request message for PredictionService.DirectPredict.

GoogleCloudAiplatformV1DirectPredictResponse: Response message for PredictionService.DirectPredict.

GoogleCloudAiplatformV1DirectRawPredictRequest: Request message for PredictionService.DirectRawPredict.

GoogleCloudAiplatformV1DirectRawPredictResponse: Response message for PredictionService.DirectRawPredict.

GoogleCloudAiplatformV1DirectUploadSource: The input content is encapsulated and uploaded in the request.

GoogleCloudAiplatformV1DiskSpec: Represents the spec of disk options.

GoogleCloudAiplatformV1DoubleArray: A list of double values.

GoogleCloudAiplatformV1DynamicRetrievalConfig: Describes the options to customize dynamic retrieval.

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.

GoogleCloudAiplatformV1EnterpriseWebSearch: Tool to search public web data, powered by Vertex AI Search and Sec4 compliance.

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.

GoogleCloudAiplatformV1EvaluateDatasetRequest: Request message for EvaluationService.EvaluateDataset.

GoogleCloudAiplatformV1EvaluateInstancesRequest: Request message for EvaluationService.EvaluateInstances.

GoogleCloudAiplatformV1EvaluateInstancesResponse: Response message for EvaluationService.EvaluateInstances.

GoogleCloudAiplatformV1EvaluationDataset: The dataset used for evaluation.

GoogleCloudAiplatformV1Event: An edge describing the relationship between an Artifact and an Execution in a lineage graph.

GoogleCloudAiplatformV1ExactMatchInput: Input for exact match metric.

GoogleCloudAiplatformV1ExactMatchInstance: Spec for exact match instance.

GoogleCloudAiplatformV1ExactMatchMetricValue: Exact match metric value for an instance.

GoogleCloudAiplatformV1ExactMatchResults: Results for exact match metric.

GoogleCloudAiplatformV1ExactMatchSpec: Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0.

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.

GoogleCloudAiplatformV1ExecutableCode: Code generated by the model that is meant to be executed, and the result returned to the model.

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.

GoogleCloudAiplatformV1ExportDataOperationMetadata: Runtime operation information for DatasetService.ExportData.

GoogleCloudAiplatformV1ExportDataRequest: Request message for DatasetService.ExportData.

GoogleCloudAiplatformV1ExportDataResponse: Response message for DatasetService.ExportData.

GoogleCloudAiplatformV1ExportFeatureValuesOperationMetadata: Details of operations that exports Features values.

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].

GoogleCloudAiplatformV1ExportFeatureValuesResponse: Response message for FeaturestoreService.ExportFeatureValues.

GoogleCloudAiplatformV1ExportFilterSplit: Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.

GoogleCloudAiplatformV1ExportFractionSplit: Assigns the input data to training, validation, and test sets as per the given fractions.

GoogleCloudAiplatformV1ExportModelOperationMetadata: Details of ModelService.ExportModel operation.

GoogleCloudAiplatformV1ExportModelOperationMetadataOutputInfo: Further describes the output of the ExportModel.

GoogleCloudAiplatformV1ExportModelRequest: Request message for ModelService.ExportModel.

GoogleCloudAiplatformV1ExportModelRequestOutputConfig: Output configuration for the Model export.

GoogleCloudAiplatformV1ExportModelResponse: Response message of ModelService.ExportModel operation.

GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataRequest: Request message for TensorboardService.ExportTensorboardTimeSeriesData.

GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataResponse: Response message for TensorboardService.ExportTensorboardTimeSeriesData.

GoogleCloudAiplatformV1Fact: The fact used in grounding.

GoogleCloudAiplatformV1FasterDeploymentConfig: Configuration for faster model deployment.

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.

GoogleCloudAiplatformV1FeatureOnlineStoreDedicatedServingEndpoint: The dedicated serving endpoint for this FeatureOnlineStore.

GoogleCloudAiplatformV1FeatureOnlineStoreOptimized: Optimized storage type.

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.

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.

GoogleCloudAiplatformV1FeatureViewIndexConfigBruteForceConfig: Configuration options for using brute force search.

GoogleCloudAiplatformV1FeatureViewIndexConfigTreeAHConfig: Configuration options for the tree-AH algorithm.

GoogleCloudAiplatformV1FeatureViewOptimizedConfig: Configuration for FeatureViews created in Optimized FeatureOnlineStore.

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.

GoogleCloudAiplatformV1FeatureViewVertexRagSource: A Vertex Rag source for features that need to be synced to Online Store.

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.

GoogleCloudAiplatformV1FetchFeatureValuesResponseFeatureNameValuePairListFeat ureNameValuePair: Feature name & value pair.

GoogleCloudAiplatformV1FetchPredictOperationRequest: Request message for PredictionService.FetchPredictOperation.

GoogleCloudAiplatformV1FileData: URI based data.

GoogleCloudAiplatformV1FileStatus: RagFile status.

GoogleCloudAiplatformV1FilterSplit: Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.

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.

GoogleCloudAiplatformV1FluencyInput: Input for fluency metric.

GoogleCloudAiplatformV1FluencyInstance: Spec for fluency instance.

GoogleCloudAiplatformV1FluencyResult: Spec for fluency result.

GoogleCloudAiplatformV1FluencySpec: Spec for fluency score metric.

GoogleCloudAiplatformV1FractionSplit: Assigns the input data to training, validation, and test sets as per the given fractions.

GoogleCloudAiplatformV1FulfillmentInput: Input for fulfillment metric.

GoogleCloudAiplatformV1FulfillmentInstance: Spec for fulfillment instance.

GoogleCloudAiplatformV1FulfillmentResult: Spec for fulfillment result.

GoogleCloudAiplatformV1FulfillmentSpec: Spec for fulfillment metric.

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 (https://spec.openapis.org/oas/v3.0.3).

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.

GoogleCloudAiplatformV1GenAiAdvancedFeaturesConfig: Configuration for GenAiAdvancedFeatures.

GoogleCloudAiplatformV1GenAiAdvancedFeaturesConfigRagConfig: Configuration for Retrieval Augmented Generation feature.

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).

GoogleCloudAiplatformV1GenerateVideoResponse: Generate video response.

GoogleCloudAiplatformV1GenerateVideoResponseVideo: A generated video.

GoogleCloudAiplatformV1GenerationConfig: Generation config.

GoogleCloudAiplatformV1GenerationConfigRoutingConfig: The configuration for routing the request to a specific model.

GoogleCloudAiplatformV1GenerationConfigRoutingConfigAutoRoutingMode: When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference.

GoogleCloudAiplatformV1GenerationConfigRoutingConfigManualRoutingMode: When manual routing is set, the specified model will be used directly.

GoogleCloudAiplatformV1GenericOperationMetadata: Generic Metadata shared by all operations.

GoogleCloudAiplatformV1GenieSource: Contains information about the source of the models generated from Generative AI Studio.

GoogleCloudAiplatformV1GoogleDriveSource: The Google Drive location for the input content.

GoogleCloudAiplatformV1GoogleDriveSourceResourceId: The type and ID of the Google Drive resource.

GoogleCloudAiplatformV1GoogleSearchRetrieval: Tool to retrieve public web data for grounding, powered by Google.

GoogleCloudAiplatformV1GroundednessInput: Input for groundedness metric.

GoogleCloudAiplatformV1GroundednessInstance: Spec for groundedness instance.

GoogleCloudAiplatformV1GroundednessResult: Spec for groundedness result.

GoogleCloudAiplatformV1GroundednessSpec: Spec for groundedness metric.

GoogleCloudAiplatformV1GroundingChunk: Grounding chunk.

GoogleCloudAiplatformV1GroundingChunkRetrievedContext: Chunk from context retrieved by the retrieval tools.

GoogleCloudAiplatformV1GroundingChunkWeb: Chunk from the web.

GoogleCloudAiplatformV1GroundingMetadata: Metadata returned to client when grounding is enabled.

GoogleCloudAiplatformV1GroundingSupport: Grounding support.

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.

GoogleCloudAiplatformV1ImportDataOperationMetadata: Runtime operation information for DatasetService.ImportData.

GoogleCloudAiplatformV1ImportDataRequest: Request message for DatasetService.ImportData.

GoogleCloudAiplatformV1ImportDataResponse: Response message for DatasetService.ImportData.

GoogleCloudAiplatformV1ImportFeatureValuesOperationMetadata: Details of operations that perform import Feature values.

GoogleCloudAiplatformV1ImportFeatureValuesRequest: Request message for FeaturestoreService.ImportFeatureValues.

GoogleCloudAiplatformV1ImportFeatureValuesRequestFeatureSpec: Defines the Feature value(s) to import.

GoogleCloudAiplatformV1ImportFeatureValuesResponse: Response message for FeaturestoreService.ImportFeatureValues.

GoogleCloudAiplatformV1ImportModelEvaluationRequest: Request message for ModelService.ImportModelEvaluation.

GoogleCloudAiplatformV1ImportRagFilesConfig: Config for importing RagFiles.

GoogleCloudAiplatformV1ImportRagFilesRequest: Request message for VertexRagDataService.ImportRagFiles.

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.

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.

GoogleCloudAiplatformV1JiraSource: The Jira source for the ImportRagFilesRequest.

GoogleCloudAiplatformV1JiraSourceJiraQueries: JiraQueries contains the Jira queries and corresponding authentication.

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.

GoogleCloudAiplatformV1ListCachedContentsResponse: Response with a list of CachedContents.

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.

GoogleCloudAiplatformV1ListModelVersionCheckpointsResponse: Response message for ModelService.ListModelVersionCheckpoints.

GoogleCloudAiplatformV1ListModelVersionsResponse: Response message for ModelService.ListModelVersions.

GoogleCloudAiplatformV1ListNasJobsResponse: Response message for JobService.ListNasJobs.

GoogleCloudAiplatformV1ListNasTrialDetailsResponse: Response message for JobService.ListNasTrialDetails.

GoogleCloudAiplatformV1ListNotebookExecutionJobsResponse: Response message for [NotebookService.CreateNotebookExecutionJob].

GoogleCloudAiplatformV1ListNotebookRuntimesResponse: Response message for NotebookService.ListNotebookRuntimes.

GoogleCloudAiplatformV1ListNotebookRuntimeTemplatesResponse: Response message for NotebookService.ListNotebookRuntimeTemplates.

GoogleCloudAiplatformV1ListOptimalTrialsRequest: Request message for VizierService.ListOptimalTrials.

GoogleCloudAiplatformV1ListOptimalTrialsResponse: Response message for VizierService.ListOptimalTrials.

GoogleCloudAiplatformV1ListPersistentResourcesResponse: Response message for PersistentResourceService.ListPersistentResources.

GoogleCloudAiplatformV1ListPipelineJobsResponse: Response message for PipelineService.ListPipelineJobs.

GoogleCloudAiplatformV1ListRagCorporaResponse: Response message for VertexRagDataService.ListRagCorpora.

GoogleCloudAiplatformV1ListRagFilesResponse: Response message for VertexRagDataService.ListRagFiles.

GoogleCloudAiplatformV1ListReasoningEnginesResponse: Response message for ReasoningEngineService.ListReasoningEngines.

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.

GoogleCloudAiplatformV1LogprobsResult: Logprobs Result.

GoogleCloudAiplatformV1LogprobsResultCandidate: Candidate for the logprobs token and score.

GoogleCloudAiplatformV1LogprobsResultTopCandidates: Candidates with top log probabilities at each decoding step.

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.

GoogleCloudAiplatformV1Metric: The metric used for dataset level evaluation.

GoogleCloudAiplatformV1MetricxInput: Input for MetricX metric.

GoogleCloudAiplatformV1MetricxInstance: Spec for MetricX instance - The fields used for evaluation are dependent on the MetricX version.

GoogleCloudAiplatformV1MetricxResult: Spec for MetricX result - calculates the MetricX score for the given instance using the version specified in the spec.

GoogleCloudAiplatformV1MetricxSpec: Spec for MetricX metric.

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.

GoogleCloudAiplatformV1MigratableResourceDataLabelingDatasetDataLabelingAnnot atedDataset: 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.

GoogleCloudAiplatformV1MigrateResourceRequestMigrateDataLabelingDatasetConfig MigrateDataLabelingAnnotatedDatasetConfig: Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.

GoogleCloudAiplatformV1MigrateResourceRequestMigrateMlEngineModelVersionConfi g: Config for migrating version in ml.googleapis.com to Vertex AI's Model.

GoogleCloudAiplatformV1MigrateResourceResponse: Describes a successfully migrated resource.

GoogleCloudAiplatformV1ModalityTokenCount: Represents token counting info for a single modality.

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.

GoogleCloudAiplatformV1ModelDeploymentMonitoringJobLatestMonitoringPipelineMe tadata: 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.

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.

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigExplanationConfigExplana tionBaseline: Output from BatchPredictionJob for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigPredictionDriftDetection Config: The config for Prediction data drift detection.

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingDataset: Training Dataset information.

GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDe tectionConfig: The config for Training & Prediction data skew detection.

GoogleCloudAiplatformV1ModelMonitoringStatsAnomalies: Statistics and anomalies generated by Model Monitoring.

GoogleCloudAiplatformV1ModelMonitoringStatsAnomaliesFeatureHistoricStatsAnoma lies: Historical Stats (and Anomalies) for a specific Feature.

GoogleCloudAiplatformV1ModelOriginalModelInfo: Contains information about the original Model if this Model is a copy.

GoogleCloudAiplatformV1ModelSourceInfo: Detail description of the source information of the model.

GoogleCloudAiplatformV1ModelVersionCheckpoint: Describes the machine learning model version checkpoint.

GoogleCloudAiplatformV1MutateDeployedIndexOperationMetadata: Runtime operation information for IndexEndpointService.MutateDeployedIndex.

GoogleCloudAiplatformV1MutateDeployedIndexResponse: Response message for IndexEndpointService.MutateDeployedIndex.

GoogleCloudAiplatformV1MutateDeployedModelOperationMetadata: Runtime operation information for EndpointService.MutateDeployedModel.

GoogleCloudAiplatformV1MutateDeployedModelRequest: Request message for EndpointService.MutateDeployedModel.

GoogleCloudAiplatformV1MutateDeployedModelResponse: Response 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.

GoogleCloudAiplatformV1NearestNeighborQueryNumericFilter: Numeric filter is used to search a subset of the entities by using boolean rules on numeric columns.

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.

GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadata: Runtime operation metadata with regard to Matching Engine Index.

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.

GoogleCloudAiplatformV1NotebookExecutionJob: NotebookExecutionJob represents an instance of a notebook execution.

GoogleCloudAiplatformV1NotebookExecutionJobCustomEnvironmentSpec: Compute configuration to use for an execution job.

GoogleCloudAiplatformV1NotebookExecutionJobDataformRepositorySource: The Dataform Repository containing the input notebook.

GoogleCloudAiplatformV1NotebookExecutionJobDirectNotebookSource: The content of the input notebook in ipynb format.

GoogleCloudAiplatformV1NotebookExecutionJobGcsNotebookSource: The Cloud Storage uri for the input notebook.

GoogleCloudAiplatformV1NotebookExecutionJobWorkbenchRuntime: Configuration for a Workbench Instances-based environment.

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.

GoogleCloudAiplatformV1NotebookSoftwareConfig: Notebook Software Config.

GoogleCloudAiplatformV1OutputConfig: Config for evaluation output.

GoogleCloudAiplatformV1PairwiseMetricInput: Input for pairwise metric.

GoogleCloudAiplatformV1PairwiseMetricInstance: Pairwise metric instance.

GoogleCloudAiplatformV1PairwiseMetricResult: Spec for pairwise metric result.

GoogleCloudAiplatformV1PairwiseMetricSpec: Spec for pairwise metric.

GoogleCloudAiplatformV1PairwiseQuestionAnsweringQualityInput: Input for pairwise question answering quality metric.

GoogleCloudAiplatformV1PairwiseQuestionAnsweringQualityInstance: Spec for pairwise question answering quality instance.

GoogleCloudAiplatformV1PairwiseQuestionAnsweringQualityResult: Spec for pairwise question answering quality result.

GoogleCloudAiplatformV1PairwiseQuestionAnsweringQualitySpec: Spec for pairwise question answering quality score metric.

GoogleCloudAiplatformV1PairwiseSummarizationQualityInput: Input for pairwise summarization quality metric.

GoogleCloudAiplatformV1PairwiseSummarizationQualityInstance: Spec for pairwise summarization quality instance.

GoogleCloudAiplatformV1PairwiseSummarizationQualityResult: Spec for pairwise summarization quality result.

GoogleCloudAiplatformV1PairwiseSummarizationQualitySpec: Spec for pairwise summarization quality score metric.

GoogleCloudAiplatformV1Part: A datatype containing media that is part of a multi-part `Content` message.

GoogleCloudAiplatformV1PauseModelDeploymentMonitoringJobRequest: Request message for JobService.PauseModelDeploymentMonitoringJob.

GoogleCloudAiplatformV1PauseScheduleRequest: Request message for ScheduleService.PauseSchedule.

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.

GoogleCloudAiplatformV1PointwiseMetricInput: Input for pointwise metric.

GoogleCloudAiplatformV1PointwiseMetricInstance: Pointwise metric instance.

GoogleCloudAiplatformV1PointwiseMetricResult: Spec for pointwise metric result.

GoogleCloudAiplatformV1PointwiseMetricSpec: Spec for pointwise metric.

GoogleCloudAiplatformV1Port: Represents a network port in a container.

GoogleCloudAiplatformV1PostStartupScriptConfig: Post startup script config.

GoogleCloudAiplatformV1PrebuiltVoiceConfig: The configuration for the prebuilt speaker to use.

GoogleCloudAiplatformV1PredefinedSplit: Assigns input data to training, validation, and test sets based on the value of a provided key.

GoogleCloudAiplatformV1PredictLongRunningRequest: Request message for PredictionService.PredictLongRunning.

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.

GoogleCloudAiplatformV1ProbeExecAction: ExecAction specifies a command to execute.

GoogleCloudAiplatformV1ProbeGrpcAction: GrpcAction checks the health of a container using a gRPC service.

GoogleCloudAiplatformV1ProbeHttpGetAction: HttpGetAction describes an action based on HTTP Get requests.

GoogleCloudAiplatformV1ProbeHttpHeader: HttpHeader describes a custom header to be used in HTTP probes.

GoogleCloudAiplatformV1ProbeTcpSocketAction: TcpSocketAction probes the health of a container by opening a TCP socket connection.

GoogleCloudAiplatformV1PscAutomatedEndpoints: PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.

GoogleCloudAiplatformV1PSCAutomationConfig: PSC config that is used to automatically create forwarding rule via ServiceConnectionMap.

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.

GoogleCloudAiplatformV1PublisherModelCallToActionDeployDeployMetadata: Metadata information about the deployment for managing deployment config.

GoogleCloudAiplatformV1PublisherModelCallToActionDeployGke: Configurations for PublisherModel GKE deployment.

GoogleCloudAiplatformV1PublisherModelCallToActionDeployVertex: Multiple setups to deploy the PublisherModel.

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.

GoogleCloudAiplatformV1PurgeArtifactsMetadata: Details of operations that perform MetadataService.PurgeArtifacts.

GoogleCloudAiplatformV1PurgeArtifactsRequest: Request message for MetadataService.PurgeArtifacts.

GoogleCloudAiplatformV1PurgeArtifactsResponse: Response message for MetadataService.PurgeArtifacts.

GoogleCloudAiplatformV1PurgeContextsMetadata: Details of operations that perform MetadataService.PurgeContexts.

GoogleCloudAiplatformV1PurgeContextsRequest: Request message for MetadataService.PurgeContexts.

GoogleCloudAiplatformV1PurgeContextsResponse: Response message for MetadataService.PurgeContexts.

GoogleCloudAiplatformV1PurgeExecutionsMetadata: Details of operations that perform MetadataService.PurgeExecutions.

GoogleCloudAiplatformV1PurgeExecutionsRequest: Request message for MetadataService.PurgeExecutions.

GoogleCloudAiplatformV1PurgeExecutionsResponse: Response message for MetadataService.PurgeExecutions.

GoogleCloudAiplatformV1PythonPackageSpec: The spec of a Python packaged code.

GoogleCloudAiplatformV1QueryDeployedModelsResponse: Response message for QueryDeployedModels method.

GoogleCloudAiplatformV1QueryReasoningEngineRequest: Request message for ReasoningEngineExecutionService.Query.

GoogleCloudAiplatformV1QueryReasoningEngineResponse: Response message for ReasoningEngineExecutionService.Query.

GoogleCloudAiplatformV1QuestionAnsweringCorrectnessInput: Input for question answering correctness metric.

GoogleCloudAiplatformV1QuestionAnsweringCorrectnessInstance: Spec for question answering correctness instance.

GoogleCloudAiplatformV1QuestionAnsweringCorrectnessResult: Spec for question answering correctness result.

GoogleCloudAiplatformV1QuestionAnsweringCorrectnessSpec: Spec for question answering correctness metric.

GoogleCloudAiplatformV1QuestionAnsweringHelpfulnessInput: Input for question answering helpfulness metric.

GoogleCloudAiplatformV1QuestionAnsweringHelpfulnessInstance: Spec for question answering helpfulness instance.

GoogleCloudAiplatformV1QuestionAnsweringHelpfulnessResult: Spec for question answering helpfulness result.

GoogleCloudAiplatformV1QuestionAnsweringHelpfulnessSpec: Spec for question answering helpfulness metric.

GoogleCloudAiplatformV1QuestionAnsweringQualityInput: Input for question answering quality metric.

GoogleCloudAiplatformV1QuestionAnsweringQualityInstance: Spec for question answering quality instance.

GoogleCloudAiplatformV1QuestionAnsweringQualityResult: Spec for question answering quality result.

GoogleCloudAiplatformV1QuestionAnsweringQualitySpec: Spec for question answering quality score metric.

GoogleCloudAiplatformV1QuestionAnsweringRelevanceInput: Input for question answering relevance metric.

GoogleCloudAiplatformV1QuestionAnsweringRelevanceInstance: Spec for question answering relevance instance.

GoogleCloudAiplatformV1QuestionAnsweringRelevanceResult: Spec for question answering relevance result.

GoogleCloudAiplatformV1QuestionAnsweringRelevanceSpec: Spec for question answering relevance metric.

GoogleCloudAiplatformV1RagContexts: Relevant contexts for one query.

GoogleCloudAiplatformV1RagContextsContext: A context of the query.

GoogleCloudAiplatformV1RagCorpus: A RagCorpus is a RagFile container and a project can have multiple RagCorpora.

GoogleCloudAiplatformV1RagEmbeddingModelConfig: Config for the embedding model to use for RAG.

GoogleCloudAiplatformV1RagEmbeddingModelConfigVertexPredictionEndpoint: Config representing a model hosted on Vertex Prediction Endpoint.

GoogleCloudAiplatformV1RagFile: A RagFile contains user data for chunking, embedding and indexing.

GoogleCloudAiplatformV1RagFileChunkingConfig: Specifies the size and overlap of chunks for RagFiles.

GoogleCloudAiplatformV1RagFileChunkingConfigFixedLengthChunking: Specifies the fixed length chunking config.

GoogleCloudAiplatformV1RagFileTransformationConfig: Specifies the transformation config for RagFiles.

GoogleCloudAiplatformV1RagQuery: A query to retrieve relevant contexts.

GoogleCloudAiplatformV1RagRetrievalConfig: Specifies the context retrieval config.

GoogleCloudAiplatformV1RagRetrievalConfigFilter: Config for filters.

GoogleCloudAiplatformV1RagVectorDbConfig: Config for the Vector DB to use for RAG.

GoogleCloudAiplatformV1RagVectorDbConfigPinecone: The config for the Pinecone.

GoogleCloudAiplatformV1RagVectorDbConfigRagManagedDb: The config for the default RAG-managed Vector DB.

GoogleCloudAiplatformV1RagVectorDbConfigVertexVectorSearch: The config for the Vertex Vector Search.

GoogleCloudAiplatformV1RawPredictRequest: Request message for PredictionService.RawPredict.

GoogleCloudAiplatformV1RayLogsSpec: Configuration for the Ray OSS Logs.

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.

GoogleCloudAiplatformV1ReasoningEngine: ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.

GoogleCloudAiplatformV1ReasoningEngineSpec: ReasoningEngine configurations.

GoogleCloudAiplatformV1ReasoningEngineSpecDeploymentSpec: The specification of a Reasoning Engine deployment.

GoogleCloudAiplatformV1ReasoningEngineSpecPackageSpec: User provided package spec like pickled object and package requirements.

GoogleCloudAiplatformV1RebaseTunedModelRequest: Request message for GenAiTuningService.RebaseTunedModel.

GoogleCloudAiplatformV1RebootPersistentResourceOperationMetadata: Details of operations that perform reboot PersistentResource.

GoogleCloudAiplatformV1RebootPersistentResourceRequest: Request message for PersistentResourceService.RebootPersistentResource.

GoogleCloudAiplatformV1RemoveContextChildrenRequest: Request message for MetadataService.DeleteContextChildrenRequest.

GoogleCloudAiplatformV1RemoveContextChildrenResponse: Response message for MetadataService.RemoveContextChildren.

GoogleCloudAiplatformV1RemoveDatapointsRequest: Request message for IndexService.RemoveDatapoints.

GoogleCloudAiplatformV1RemoveDatapointsResponse: Response message for IndexService.RemoveDatapoints.

GoogleCloudAiplatformV1ReservationAffinity: A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a DeployedModel) to draw its Compute Engine resources from a Shared Reservation, or exclusively from on-demand capacity.

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.

GoogleCloudAiplatformV1RestoreDatasetVersionOperationMetadata: Runtime operation information for DatasetService.RestoreDatasetVersion.

GoogleCloudAiplatformV1ResumeModelDeploymentMonitoringJobRequest: Request message for JobService.ResumeModelDeploymentMonitoringJob.

GoogleCloudAiplatformV1ResumeScheduleRequest: Request message for ScheduleService.ResumeSchedule.

GoogleCloudAiplatformV1Retrieval: Defines a retrieval tool that model can call to access external knowledge.

GoogleCloudAiplatformV1RetrievalConfig: Retrieval config.

GoogleCloudAiplatformV1RetrievalMetadata: Metadata related to retrieval in the grounding flow.

GoogleCloudAiplatformV1RetrieveContextsRequest: Request message for VertexRagService.RetrieveContexts.

GoogleCloudAiplatformV1RetrieveContextsRequestVertexRagStore: The data source for Vertex RagStore.

GoogleCloudAiplatformV1RetrieveContextsRequestVertexRagStoreRagResource: The definition of the Rag resource.

GoogleCloudAiplatformV1RetrieveContextsResponse: Response message for VertexRagService.RetrieveContexts.

GoogleCloudAiplatformV1RougeInput: Input for rouge metric.

GoogleCloudAiplatformV1RougeInstance: Spec for rouge instance.

GoogleCloudAiplatformV1RougeMetricValue: Rouge metric value for an instance.

GoogleCloudAiplatformV1RougeResults: Results for rouge metric.

GoogleCloudAiplatformV1RougeSpec: Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1.

GoogleCloudAiplatformV1SafetyInput: Input for safety metric.

GoogleCloudAiplatformV1SafetyInstance: Spec for safety instance.

GoogleCloudAiplatformV1SafetyRating: Safety rating corresponding to the generated content.

GoogleCloudAiplatformV1SafetyResult: Spec for safety result.

GoogleCloudAiplatformV1SafetySetting: Safety settings.

GoogleCloudAiplatformV1SafetySpec: Spec for safety metric.

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.

GoogleCloudAiplatformV1SchemaAnnotationSpecColor: An entry of mapping between color and AnnotationSpec.

GoogleCloudAiplatformV1SchemaImageBoundingBoxAnnotation: Annotation details specific to image object detection.

GoogleCloudAiplatformV1SchemaImageClassificationAnnotation: Annotation details specific to image classification.

GoogleCloudAiplatformV1SchemaImageDataItem: Payload of Image DataItem.

GoogleCloudAiplatformV1SchemaImageDatasetMetadata: The metadata of Datasets that contain Image DataItems.

GoogleCloudAiplatformV1SchemaImageSegmentationAnnotation: Annotation details specific to image segmentation.

GoogleCloudAiplatformV1SchemaImageSegmentationAnnotationMaskAnnotation: The mask based segmentation annotation.

GoogleCloudAiplatformV1SchemaImageSegmentationAnnotationPolygonAnnotation: Represents a polygon in image.

GoogleCloudAiplatformV1SchemaImageSegmentationAnnotationPolylineAnnotation: Represents a polyline in image.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics: Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetricsConfiden ceMetrics: Metrics for a single confidence threshold.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMe trics: Metrics for classification evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetri cs: Metrics for forecasting evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetri csQuantileMetricsEntry: Entry for the Quantiles loss type optimization objective.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageObjectDetectionEvalua tionMetrics: Metrics for image object detection evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluatio nMetrics: Metrics for image segmentation evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsPairwiseTextGenerationEval uationMetrics: Metrics for general pairwise text generation evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetric s: Metrics for regression evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsTextExtractionEvaluationMe trics: Metrics for text extraction evaluation results.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsTextSentimentEvaluationMet rics: Model evaluation metrics for text sentiment problems.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics: UNIMPLEMENTED.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetricsConfidenceMetr ics: Metrics for a single confidence threshold.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetrics: The Evaluation metrics given a specific precision_window_length.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetricsConfiden ceMetrics: Metrics for a single confidence threshold.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionRecognitionMetr ics: Model evaluation metrics for video action recognition.

GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics : Model evaluation metrics for video object tracking problems.

GoogleCloudAiplatformV1SchemaPredictInstanceImageClassificationPredictionInst ance: Prediction input format for Image Classification.

GoogleCloudAiplatformV1SchemaPredictInstanceImageObjectDetectionPredictionIns tance: Prediction input format for Image Object Detection.

GoogleCloudAiplatformV1SchemaPredictInstanceImageSegmentationPredictionInstan ce: Prediction input format for Image Segmentation.

GoogleCloudAiplatformV1SchemaPredictInstanceTextClassificationPredictionInsta nce: Prediction input format for Text Classification.

GoogleCloudAiplatformV1SchemaPredictInstanceTextExtractionPredictionInstance: Prediction input format for Text Extraction.

GoogleCloudAiplatformV1SchemaPredictInstanceTextSentimentPredictionInstance: Prediction input format for Text Sentiment.

GoogleCloudAiplatformV1SchemaPredictInstanceVideoActionRecognitionPredictionI nstance: Prediction input format for Video Action Recognition.

GoogleCloudAiplatformV1SchemaPredictInstanceVideoClassificationPredictionInst ance: Prediction input format for Video Classification.

GoogleCloudAiplatformV1SchemaPredictInstanceVideoObjectTrackingPredictionInst ance: Prediction input format for Video Object Tracking.

GoogleCloudAiplatformV1SchemaPredictionResult: Represents a line of JSONL in the batch prediction output file.

GoogleCloudAiplatformV1SchemaPredictParamsGroundingConfig: The configuration for grounding checking.

GoogleCloudAiplatformV1SchemaPredictParamsGroundingConfigSourceEntry: Single source entry for the grounding checking.

GoogleCloudAiplatformV1SchemaPredictParamsImageClassificationPredictionParams : Prediction model parameters for Image Classification.

GoogleCloudAiplatformV1SchemaPredictParamsImageObjectDetectionPredictionParam s: Prediction model parameters for Image Object Detection.

GoogleCloudAiplatformV1SchemaPredictParamsImageSegmentationPredictionParams: Prediction model parameters for Image Segmentation.

GoogleCloudAiplatformV1SchemaPredictParamsVideoActionRecognitionPredictionPar ams: Prediction model parameters for Video Action Recognition.

GoogleCloudAiplatformV1SchemaPredictParamsVideoClassificationPredictionParams : Prediction model parameters for Video Classification.

GoogleCloudAiplatformV1SchemaPredictParamsVideoObjectTrackingPredictionParams : Prediction model parameters for Video Object Tracking.

GoogleCloudAiplatformV1SchemaPredictPredictionClassificationPredictionResult: Prediction output format for Image and Text Classification.

GoogleCloudAiplatformV1SchemaPredictPredictionImageObjectDetectionPredictionR esult: Prediction output format for Image Object Detection.

GoogleCloudAiplatformV1SchemaPredictPredictionImageSegmentationPredictionResu lt: Prediction output format for Image Segmentation.

GoogleCloudAiplatformV1SchemaPredictPredictionTabularClassificationPrediction Result: Prediction output format for Tabular Classification.

GoogleCloudAiplatformV1SchemaPredictPredictionTabularRegressionPredictionResu lt: Prediction output format for Tabular Regression.

GoogleCloudAiplatformV1SchemaPredictPredictionTextExtractionPredictionResult: Prediction output format for Text Extraction.

GoogleCloudAiplatformV1SchemaPredictPredictionTextSentimentPredictionResult: Prediction output format for Text Sentiment.

GoogleCloudAiplatformV1SchemaPredictPredictionTimeSeriesForecastingPrediction Result: Prediction output format for Time Series Forecasting.

GoogleCloudAiplatformV1SchemaPredictPredictionVideoActionRecognitionPredictio nResult: Prediction output format for Video Action Recognition.

GoogleCloudAiplatformV1SchemaPredictPredictionVideoClassificationPredictionRe sult: Prediction output format for Video Classification.

GoogleCloudAiplatformV1SchemaPredictPredictionVideoObjectTrackingPredictionRe sult: Prediction output format for Video Object Tracking.

GoogleCloudAiplatformV1SchemaPredictPredictionVideoObjectTrackingPredictionRe sultFrame: The fields `xMin`, `xMax`, `yMin`, and `yMax` refer to a bounding box, i.e.

GoogleCloudAiplatformV1SchemaPromptApiSchema: The A2 schema of a prompt.

GoogleCloudAiplatformV1SchemaPromptInstancePromptExecution: A prompt instance's parameters set that contains a set of variable values.

GoogleCloudAiplatformV1SchemaPromptInstanceVariableValue: The value of a variable in prompt.

GoogleCloudAiplatformV1SchemaPromptSpecMultimodalPrompt: Prompt variation that embeds preambles to prompt string.

GoogleCloudAiplatformV1SchemaPromptSpecPartList: A list of elements and information that make up a portion of prompt.

GoogleCloudAiplatformV1SchemaPromptSpecPromptMessage: The prompt message that aligns with the prompt message in google.cloud.aiplatform.master.GenerateContentRequest.

GoogleCloudAiplatformV1SchemaPromptSpecReferenceSentencePair: A pair of sentences used as reference in source and target languages.

GoogleCloudAiplatformV1SchemaPromptSpecReferenceSentencePairList: A list of reference sentence pairs.

GoogleCloudAiplatformV1SchemaPromptSpecStructuredPrompt: Prompt variation that stores preambles in separate fields.

GoogleCloudAiplatformV1SchemaPromptSpecTranslationExample: The translation example that contains reference sentences from various sources.

GoogleCloudAiplatformV1SchemaPromptSpecTranslationOption: Optional settings for translation prompt.

GoogleCloudAiplatformV1SchemaPromptSpecTranslationPrompt: Prompt variation for Translation use case.

GoogleCloudAiplatformV1SchemaTablesDatasetMetadata: The metadata of Datasets that contain tables data.

GoogleCloudAiplatformV1SchemaTablesDatasetMetadataInputConfig: The tables Dataset's data source.

GoogleCloudAiplatformV1SchemaTextClassificationAnnotation: Annotation details specific to text classification.

GoogleCloudAiplatformV1SchemaTextDataItem: Payload of Text DataItem.

GoogleCloudAiplatformV1SchemaTextDatasetMetadata: The metadata of Datasets that contain Text DataItems.

GoogleCloudAiplatformV1SchemaTextExtractionAnnotation: Annotation details specific to text extraction.

GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata: The metadata of Datasets that contain Text Prompt data.

GoogleCloudAiplatformV1SchemaTextSegment: The text segment inside of DataItem.

GoogleCloudAiplatformV1SchemaTextSentimentAnnotation: Annotation details specific to text sentiment.

GoogleCloudAiplatformV1SchemaTextSentimentSavedQueryMetadata: The metadata of SavedQuery contains TextSentiment Annotations.

GoogleCloudAiplatformV1SchemaTimeSegment: A time period inside of a DataItem that has a time dimension (e.g.

GoogleCloudAiplatformV1SchemaTimeSeriesDatasetMetadata: The metadata of Datasets that contain time series data.

GoogleCloudAiplatformV1SchemaTimeSeriesDatasetMetadataInputConfig: The time series Dataset's data source.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecasting: A TrainingJob that trains and uploads an AutoML Forecasting Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsGran ularity: A duration of time expressed in time granularity units.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTran sformationAutoTransformation: Training pipeline will infer the proper transformation based on the statistic of dataset.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTran sformationCategoricalTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTran sformationNumericTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTran sformationTextTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingInputsTran sformationTimestampTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlForecastingMetadata: Model metadata specific to AutoML Forecasting.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageClassification: A TrainingJob that trains and uploads an AutoML Image Classification Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageObjectDetection: A TrainingJob that trains and uploads an AutoML Image Object Detection Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentation: A TrainingJob that trains and uploads an AutoML Image Segmentation Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutomlImageTrainingTunableP arameter: A wrapper class which contains the tunable parameters in an AutoML Image training job.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTables: A TrainingJob that trains and uploads an AutoML Tables Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransform ationAutoTransformation: Training pipeline will infer the proper transformation based on the statistic of dataset.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransform ationCategoricalArrayTransformation: Treats the column as categorical array and performs following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransform ationCategoricalTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransform ationNumericArrayTransformation: Treats the column as numerical array and performs following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransform ationNumericTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransform ationTextArrayTransformation: Treats the column as text array and performs following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransform ationTextTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesInputsTransform ationTimestampTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTablesMetadata: Model metadata specific to AutoML Tables.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTextClassification: A TrainingJob that trains and uploads an AutoML Text Classification Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTextExtraction: A TrainingJob that trains and uploads an AutoML Text Extraction Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlTextSentiment: A TrainingJob that trains and uploads an AutoML Text Sentiment Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlVideoActionRecognitio n: A TrainingJob that trains and uploads an AutoML Video Action Recognition Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlVideoClassification: A TrainingJob that trains and uploads an AutoML Video Classification Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlVideoObjectTracking: A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionCustomTask: A TrainingJob that trains a custom code Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionExportEvaluatedDataItemsCon fig: Configuration for exporting test set predictions to a BigQuery table.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHierarchyConfig: Configuration that defines the hierarchical relationship of time series and parameters for hierarchical forecasting strategies.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHyperparameterTuningTask: A TrainingJob that tunes Hypererparameters of a custom code Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecasting: A TrainingJob that trains and uploads an AutoML Forecasting Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInput sGranularity: A duration of time expressed in time granularity units.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInput sTransformationAutoTransformation: Training pipeline will infer the proper transformation based on the statistic of dataset.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInput sTransformationCategoricalTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInput sTransformationNumericTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInput sTransformationTextTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingInput sTransformationTimestampTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionSeq2SeqPlusForecastingMetad ata: Model metadata specific to Seq2Seq Plus Forecasting.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecasting: A TrainingJob that trains and uploads an AutoML Forecasting Model.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsGranula rity: A duration of time expressed in time granularity units.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransfo rmationAutoTransformation: Training pipeline will infer the proper transformation based on the statistic of dataset.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransfo rmationCategoricalTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransfo rmationNumericTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransfo rmationTextTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingInputsTransfo rmationTimestampTransformation: Training pipeline will perform following transformation functions.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionTftForecastingMetadata: Model metadata specific to TFT Forecasting.

GoogleCloudAiplatformV1SchemaTrainingjobDefinitionWindowConfig: Config that contains the strategy used to generate sliding windows in time series training.

GoogleCloudAiplatformV1SchemaVertex: A vertex represents a 2D point in the image.

GoogleCloudAiplatformV1SchemaVideoActionRecognitionAnnotation: Annotation details specific to video action recognition.

GoogleCloudAiplatformV1SchemaVideoClassificationAnnotation: Annotation details specific to video classification.

GoogleCloudAiplatformV1SchemaVideoDataItem: Payload of Video DataItem.

GoogleCloudAiplatformV1SchemaVideoDatasetMetadata: The metadata of Datasets that contain Video DataItems.

GoogleCloudAiplatformV1SchemaVideoObjectTrackingAnnotation: Annotation details specific to video object tracking.

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.

GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesRequestSt atsAnomaliesObjective: Stats requested for specific objective.

GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesResponse: Response message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.

GoogleCloudAiplatformV1SearchNearestEntitiesRequest: The request message for FeatureOnlineStoreService.SearchNearestEntities.

GoogleCloudAiplatformV1SearchNearestEntitiesResponse: Response message for FeatureOnlineStoreService.SearchNearestEntities.

GoogleCloudAiplatformV1SecretEnvVar: Represents an environment variable where the value is a secret in Cloud Secret Manager.

GoogleCloudAiplatformV1SecretRef: Reference to a secret stored in the Cloud Secret Manager that will provide the value for this environment variable.

GoogleCloudAiplatformV1Segment: Segment of the content.

GoogleCloudAiplatformV1ServiceAccountSpec: Configuration for the use of custom service account to run the workloads.

GoogleCloudAiplatformV1SharePointSources: The SharePointSources to pass to ImportRagFiles.

GoogleCloudAiplatformV1SharePointSourcesSharePointSource: An individual SharePointSource.

GoogleCloudAiplatformV1ShieldedVmConfig: A set of Shielded Instance options.

GoogleCloudAiplatformV1SlackSource: The Slack source for the ImportRagFilesRequest.

GoogleCloudAiplatformV1SlackSourceSlackChannels: SlackChannels contains the Slack channels and corresponding access token.

GoogleCloudAiplatformV1SlackSourceSlackChannelsSlackChannel: SlackChannel contains the Slack channel ID and the time range to import.

GoogleCloudAiplatformV1SmoothGradConfig: Config for SmoothGrad approximation of gradients.

GoogleCloudAiplatformV1SpecialistPool: SpecialistPool represents customers' own workforce to work on their data labeling jobs.

GoogleCloudAiplatformV1SpeculativeDecodingSpec: Configuration for Speculative Decoding.

GoogleCloudAiplatformV1SpeculativeDecodingSpecDraftModelSpeculation: Draft model speculation works by using the smaller model to generate candidate tokens for speculative decoding.

GoogleCloudAiplatformV1SpeculativeDecodingSpecNgramSpeculation: N-Gram speculation works by trying to find matching tokens in the previous prompt sequence and use those as speculation for generating new tokens.

GoogleCloudAiplatformV1SpeechConfig: The speech generation config.

GoogleCloudAiplatformV1StartNotebookRuntimeOperationMetadata: Metadata information for NotebookService.StartNotebookRuntime.

GoogleCloudAiplatformV1StartNotebookRuntimeRequest: Request message for NotebookService.StartNotebookRuntime.

GoogleCloudAiplatformV1StopNotebookRuntimeRequest: Request message for NotebookService.StopNotebookRuntime.

GoogleCloudAiplatformV1StopTrialRequest: Request message for VizierService.StopTrial.

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.StreamingReadFeatureValues.

GoogleCloudAiplatformV1StreamQueryReasoningEngineRequest: Request message for ReasoningEngineExecutionService.StreamQuery.

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.

GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpecCategori calValueCondition: Represents the spec to match categorical values from parent parameter.

GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpecDiscrete ValueCondition: Represents the spec to match discrete values from parent parameter.

GoogleCloudAiplatformV1StudySpecParameterSpecConditionalParameterSpecIntValue Condition: 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.

GoogleCloudAiplatformV1SuggestTrialsMetadata: Details of operations that perform Trials suggestion.

GoogleCloudAiplatformV1SuggestTrialsRequest: Request message for VizierService.SuggestTrials.

GoogleCloudAiplatformV1SuggestTrialsResponse: Response message for VizierService.SuggestTrials.

GoogleCloudAiplatformV1SummarizationHelpfulnessInput: Input for summarization helpfulness metric.

GoogleCloudAiplatformV1SummarizationHelpfulnessInstance: Spec for summarization helpfulness instance.

GoogleCloudAiplatformV1SummarizationHelpfulnessResult: Spec for summarization helpfulness result.

GoogleCloudAiplatformV1SummarizationHelpfulnessSpec: Spec for summarization helpfulness score metric.

GoogleCloudAiplatformV1SummarizationQualityInput: Input for summarization quality metric.

GoogleCloudAiplatformV1SummarizationQualityInstance: Spec for summarization quality instance.

GoogleCloudAiplatformV1SummarizationQualityResult: Spec for summarization quality result.

GoogleCloudAiplatformV1SummarizationQualitySpec: Spec for summarization quality score metric.

GoogleCloudAiplatformV1SummarizationVerbosityInput: Input for summarization verbosity metric.

GoogleCloudAiplatformV1SummarizationVerbosityInstance: Spec for summarization verbosity instance.

GoogleCloudAiplatformV1SummarizationVerbosityResult: Spec for summarization verbosity result.

GoogleCloudAiplatformV1SummarizationVerbositySpec: Spec for summarization verbosity score metric.

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 for first party models.

GoogleCloudAiplatformV1SyncFeatureViewRequest: Request message for FeatureOnlineStoreAdminService.SyncFeatureView.

GoogleCloudAiplatformV1SyncFeatureViewResponse: Response 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.

GoogleCloudAiplatformV1ToolCall: Spec for tool call.

GoogleCloudAiplatformV1ToolCallValidInput: Input for tool call valid metric.

GoogleCloudAiplatformV1ToolCallValidInstance: Spec for tool call valid instance.

GoogleCloudAiplatformV1ToolCallValidMetricValue: Tool call valid metric value for an instance.

GoogleCloudAiplatformV1ToolCallValidResults: Results for tool call valid metric.

GoogleCloudAiplatformV1ToolCallValidSpec: Spec for tool call valid metric.

GoogleCloudAiplatformV1ToolCodeExecution: Tool that executes code generated by the model, and automatically returns the result to the model.

GoogleCloudAiplatformV1ToolConfig: Tool config.

GoogleCloudAiplatformV1ToolGoogleSearch: GoogleSearch tool type.

GoogleCloudAiplatformV1ToolNameMatchInput: Input for tool name match metric.

GoogleCloudAiplatformV1ToolNameMatchInstance: Spec for tool name match instance.

GoogleCloudAiplatformV1ToolNameMatchMetricValue: Tool name match metric value for an instance.

GoogleCloudAiplatformV1ToolNameMatchResults: Results for tool name match metric.

GoogleCloudAiplatformV1ToolNameMatchSpec: Spec for tool name match metric.

GoogleCloudAiplatformV1ToolParameterKeyMatchInput: Input for tool parameter key match metric.

GoogleCloudAiplatformV1ToolParameterKeyMatchInstance: Spec for tool parameter key match instance.

GoogleCloudAiplatformV1ToolParameterKeyMatchMetricValue: Tool parameter key match metric value for an instance.

GoogleCloudAiplatformV1ToolParameterKeyMatchResults: Results for tool parameter key match metric.

GoogleCloudAiplatformV1ToolParameterKeyMatchSpec: Spec for tool parameter key match metric.

GoogleCloudAiplatformV1ToolParameterKVMatchInput: Input for tool parameter key value match metric.

GoogleCloudAiplatformV1ToolParameterKVMatchInstance: Spec for tool parameter key value match instance.

GoogleCloudAiplatformV1ToolParameterKVMatchMetricValue: Tool parameter key value match metric value for an instance.

GoogleCloudAiplatformV1ToolParameterKVMatchResults: Results for tool parameter key value match metric.

GoogleCloudAiplatformV1ToolParameterKVMatchSpec: Spec for tool parameter key value match metric.

GoogleCloudAiplatformV1TrainingConfig: CMLE training config.

GoogleCloudAiplatformV1TrainingPipeline: The TrainingPipeline orchestrates tasks associated with training a Model.

GoogleCloudAiplatformV1Trajectory: Spec for trajectory.

GoogleCloudAiplatformV1TrajectoryAnyOrderMatchInput: Instances and metric spec for TrajectoryAnyOrderMatch metric.

GoogleCloudAiplatformV1TrajectoryAnyOrderMatchInstance: Spec for TrajectoryAnyOrderMatch instance.

GoogleCloudAiplatformV1TrajectoryAnyOrderMatchMetricValue: TrajectoryAnyOrderMatch metric value for an instance.

GoogleCloudAiplatformV1TrajectoryAnyOrderMatchResults: Results for TrajectoryAnyOrderMatch metric.

GoogleCloudAiplatformV1TrajectoryAnyOrderMatchSpec: Spec for TrajectoryAnyOrderMatch metric - returns 1 if all tool calls in the reference trajectory appear in the predicted trajectory in any order, else 0.

GoogleCloudAiplatformV1TrajectoryExactMatchInput: Instances and metric spec for TrajectoryExactMatch metric.

GoogleCloudAiplatformV1TrajectoryExactMatchInstance: Spec for TrajectoryExactMatch instance.

GoogleCloudAiplatformV1TrajectoryExactMatchMetricValue: TrajectoryExactMatch metric value for an instance.

GoogleCloudAiplatformV1TrajectoryExactMatchResults: Results for TrajectoryExactMatch metric.

GoogleCloudAiplatformV1TrajectoryExactMatchSpec: Spec for TrajectoryExactMatch metric - returns 1 if tool calls in the reference trajectory exactly match the predicted trajectory, else 0.

GoogleCloudAiplatformV1TrajectoryInOrderMatchInput: Instances and metric spec for TrajectoryInOrderMatch metric.

GoogleCloudAiplatformV1TrajectoryInOrderMatchInstance: Spec for TrajectoryInOrderMatch instance.

GoogleCloudAiplatformV1TrajectoryInOrderMatchMetricValue: TrajectoryInOrderMatch metric value for an instance.

GoogleCloudAiplatformV1TrajectoryInOrderMatchResults: Results for TrajectoryInOrderMatch metric.

GoogleCloudAiplatformV1TrajectoryInOrderMatchSpec: Spec for TrajectoryInOrderMatch metric - returns 1 if tool calls in the reference trajectory appear in the predicted trajectory in the same order, else 0.

GoogleCloudAiplatformV1TrajectoryPrecisionInput: Instances and metric spec for TrajectoryPrecision metric.

GoogleCloudAiplatformV1TrajectoryPrecisionInstance: Spec for TrajectoryPrecision instance.

GoogleCloudAiplatformV1TrajectoryPrecisionMetricValue: TrajectoryPrecision metric value for an instance.

GoogleCloudAiplatformV1TrajectoryPrecisionResults: Results for TrajectoryPrecision metric.

GoogleCloudAiplatformV1TrajectoryPrecisionSpec: Spec for TrajectoryPrecision metric - returns a float score based on average precision of individual tool calls.

GoogleCloudAiplatformV1TrajectoryRecallInput: Instances and metric spec for TrajectoryRecall metric.

GoogleCloudAiplatformV1TrajectoryRecallInstance: Spec for TrajectoryRecall instance.

GoogleCloudAiplatformV1TrajectoryRecallMetricValue: TrajectoryRecall metric value for an instance.

GoogleCloudAiplatformV1TrajectoryRecallResults: Results for TrajectoryRecall metric.

GoogleCloudAiplatformV1TrajectoryRecallSpec: Spec for TrajectoryRecall metric - returns a float score based on average recall of individual tool calls.

GoogleCloudAiplatformV1TrajectorySingleToolUseInput: Instances and metric spec for TrajectorySingleToolUse metric.

GoogleCloudAiplatformV1TrajectorySingleToolUseInstance: Spec for TrajectorySingleToolUse instance.

GoogleCloudAiplatformV1TrajectorySingleToolUseMetricValue: TrajectorySingleToolUse metric value for an instance.

GoogleCloudAiplatformV1TrajectorySingleToolUseResults: Results for TrajectorySingleToolUse metric.

GoogleCloudAiplatformV1TrajectorySingleToolUseSpec: Spec for TrajectorySingleToolUse metric - returns 1 if tool is present in the predicted trajectory, else 0.

GoogleCloudAiplatformV1Trial: A message representing a Trial.

GoogleCloudAiplatformV1TrialParameter: A message representing a parameter to be tuned.

GoogleCloudAiplatformV1TunedModel: The Model Registry Model and Online Prediction Endpoint associated with this TuningJob.

GoogleCloudAiplatformV1TunedModelRef: TunedModel Reference for legacy model migration.

GoogleCloudAiplatformV1TuningDataStats: The tuning data statistic values for TuningJob.

GoogleCloudAiplatformV1TuningJob: Represents a TuningJob that runs with Google owned models.

GoogleCloudAiplatformV1UndeployIndexOperationMetadata: Runtime operation information for IndexEndpointService.UndeployIndex.

GoogleCloudAiplatformV1UndeployIndexRequest: Request message for IndexEndpointService.UndeployIndex.

GoogleCloudAiplatformV1UndeployIndexResponse: Response message for IndexEndpointService.UndeployIndex.

GoogleCloudAiplatformV1UndeployModelOperationMetadata: Runtime operation information for EndpointService.UndeployModel.

GoogleCloudAiplatformV1UndeployModelRequest: Request message for EndpointService.UndeployModel.

GoogleCloudAiplatformV1UndeployModelResponse: Response message for EndpointService.UndeployModel.

GoogleCloudAiplatformV1UnmanagedContainerModel: Contains model information necessary to perform batch prediction without requiring a full model import.

GoogleCloudAiplatformV1UpdateDeploymentResourcePoolOperationMetadata: Runtime operation information for UpdateDeploymentResourcePool method.

GoogleCloudAiplatformV1UpdateEndpointLongRunningRequest: Request message for EndpointService.UpdateEndpointLongRunning.

GoogleCloudAiplatformV1UpdateExplanationDatasetOperationMetadata: Runtime operation information for ModelService.UpdateExplanationDataset.

GoogleCloudAiplatformV1UpdateExplanationDatasetRequest: Request message for ModelService.UpdateExplanationDataset.

GoogleCloudAiplatformV1UpdateExplanationDatasetResponse: Response message of ModelService.UpdateExplanationDataset operation.

GoogleCloudAiplatformV1UpdateFeatureGroupOperationMetadata: Details of operations that perform update FeatureGroup.

GoogleCloudAiplatformV1UpdateFeatureOnlineStoreOperationMetadata: Details of operations that perform update FeatureOnlineStore.

GoogleCloudAiplatformV1UpdateFeatureOperationMetadata: Details of operations that perform update Feature.

GoogleCloudAiplatformV1UpdateFeaturestoreOperationMetadata: Details of operations that perform update Featurestore.

GoogleCloudAiplatformV1UpdateFeatureViewOperationMetadata: Details of operations that perform update FeatureView.

GoogleCloudAiplatformV1UpdateIndexOperationMetadata: Runtime operation information for IndexService.UpdateIndex.

GoogleCloudAiplatformV1UpdateModelDeploymentMonitoringJobOperationMetadata: Runtime operation information for JobService.UpdateModelDeploymentMonitoringJob.

GoogleCloudAiplatformV1UpdatePersistentResourceOperationMetadata: Details of operations that perform update PersistentResource.

GoogleCloudAiplatformV1UpdateSpecialistPoolOperationMetadata: Runtime operation metadata for SpecialistPoolService.UpdateSpecialistPool.

GoogleCloudAiplatformV1UpdateTensorboardOperationMetadata: Details of operations that perform update Tensorboard.

GoogleCloudAiplatformV1UpgradeNotebookRuntimeOperationMetadata: Metadata information for NotebookService.UpgradeNotebookRuntime.

GoogleCloudAiplatformV1UpgradeNotebookRuntimeRequest: Request message for NotebookService.UpgradeNotebookRuntime.

GoogleCloudAiplatformV1UploadModelOperationMetadata: Details of ModelService.UploadModel operation.

GoogleCloudAiplatformV1UploadModelRequest: Request message for ModelService.UploadModel.

GoogleCloudAiplatformV1UploadModelResponse: Response message of ModelService.UploadModel operation.

GoogleCloudAiplatformV1UploadRagFileConfig: Config for uploading RagFile.

GoogleCloudAiplatformV1UploadRagFileRequest: Request message for VertexRagDataService.UploadRagFile.

GoogleCloudAiplatformV1UploadRagFileResponse: Response message for VertexRagDataService.UploadRagFile.

GoogleCloudAiplatformV1UpsertDatapointsRequest: Request message for IndexService.UpsertDatapoints.

GoogleCloudAiplatformV1UpsertDatapointsResponse: Response message for IndexService.UpsertDatapoints.

GoogleCloudAiplatformV1UserActionReference: References an API call.

GoogleCloudAiplatformV1Value: Value is the value of the field.

GoogleCloudAiplatformV1VertexAISearch: Retrieve from Vertex AI Search datastore or engine for grounding.

GoogleCloudAiplatformV1VertexRagStore: Retrieve from Vertex RAG Store for grounding.

GoogleCloudAiplatformV1VertexRagStoreRagResource: The definition of the Rag resource.

GoogleCloudAiplatformV1VideoMetadata: Metadata describes the input video content.

GoogleCloudAiplatformV1VoiceConfig: The configuration for the voice to use.

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.

GoogleCloudAiplatformV1WriteFeatureValuesResponse: Response message for FeaturestoreOnlineServingService.WriteFeatureValues.

GoogleCloudAiplatformV1WriteTensorboardExperimentDataRequest: Request message for TensorboardService.WriteTensorboardExperimentData.

GoogleCloudAiplatformV1WriteTensorboardExperimentDataResponse: Response message for TensorboardService.WriteTensorboardExperimentData.

GoogleCloudAiplatformV1WriteTensorboardRunDataRequest: Request message for TensorboardService.WriteTensorboardRunData.

GoogleCloudAiplatformV1WriteTensorboardRunDataResponse: Response 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.

GoogleCloudLocationLocation: A resource that represents a Google Cloud location.

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.

GoogleIamV1TestIamPermissionsResponse: Response message for `TestIamPermissions` 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.

GoogleProtobufEmpty: A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs.

GoogleRpcStatus: The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs.

GoogleTypeColor: Represents a color in the RGBA color space.

GoogleTypeDate: Represents a whole or partial calendar date, such as a birthday.

GoogleTypeExpr: Represents a textual expression in the Common Expression Language (CEL) syntax.

GoogleTypeInterval: Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive).

GoogleTypeLatLng: An object that represents a latitude/longitude pair.

GoogleTypeMoney: Represents an amount of money with its currency type.