| Class | Description | 
| com.google.cloud.aiplatform.v1.AcceleratorTypeProto |  | 
| com.google.cloud.aiplatform.v1.ActiveLearningConfig | Parameters that configure the active learning pipeline. Active learning will
  label the data incrementally by several iterations. For every iteration, it
  will select a batch of data based on the sampling strategy. | 
| com.google.cloud.aiplatform.v1.ActiveLearningConfig.Builder | Parameters that configure the active learning pipeline. Active learning will
  label the data incrementally by several iterations. For every iteration, it
  will select a batch of data based on the sampling strategy. | 
| com.google.cloud.aiplatform.v1.AddContextArtifactsAndExecutionsRequest | Request message for
 MetadataService.AddContextArtifactsAndExecutions. | 
| com.google.cloud.aiplatform.v1.AddContextArtifactsAndExecutionsRequest.Builder | Request message for
 MetadataService.AddContextArtifactsAndExecutions. | 
| com.google.cloud.aiplatform.v1.AddContextArtifactsAndExecutionsResponse | Response message for
 MetadataService.AddContextArtifactsAndExecutions. | 
| com.google.cloud.aiplatform.v1.AddContextArtifactsAndExecutionsResponse.Builder | Response message for
 MetadataService.AddContextArtifactsAndExecutions. | 
| com.google.cloud.aiplatform.v1.AddContextChildrenRequest | Request message for
 MetadataService.AddContextChildren. | 
| com.google.cloud.aiplatform.v1.AddContextChildrenRequest.Builder | Request message for
 MetadataService.AddContextChildren. | 
| com.google.cloud.aiplatform.v1.AddContextChildrenResponse | Response message for
 MetadataService.AddContextChildren. | 
| com.google.cloud.aiplatform.v1.AddContextChildrenResponse.Builder | Response message for
 MetadataService.AddContextChildren. | 
| com.google.cloud.aiplatform.v1.AddExecutionEventsRequest | Request message for
 MetadataService.AddExecutionEvents. | 
| com.google.cloud.aiplatform.v1.AddExecutionEventsRequest.Builder | Request message for
 MetadataService.AddExecutionEvents. | 
| com.google.cloud.aiplatform.v1.AddExecutionEventsResponse | Response message for
 MetadataService.AddExecutionEvents. | 
| com.google.cloud.aiplatform.v1.AddExecutionEventsResponse.Builder | Response message for
 MetadataService.AddExecutionEvents. | 
| com.google.cloud.aiplatform.v1.AddTrialMeasurementRequest | Request message for
 VizierService.AddTrialMeasurement. | 
| com.google.cloud.aiplatform.v1.AddTrialMeasurementRequest.Builder | Request message for
 VizierService.AddTrialMeasurement. | 
| com.google.cloud.aiplatform.v1.Annotation | Used to assign specific AnnotationSpec to a particular area of a DataItem or
 the whole part of the DataItem. | 
| com.google.cloud.aiplatform.v1.Annotation.Builder | Used to assign specific AnnotationSpec to a particular area of a DataItem or
 the whole part of the DataItem. | 
| com.google.cloud.aiplatform.v1.AnnotationProto |  | 
| com.google.cloud.aiplatform.v1.AnnotationSpec | Identifies a concept with which DataItems may be annotated with. | 
| com.google.cloud.aiplatform.v1.AnnotationSpec.Builder | Identifies a concept with which DataItems may be annotated with. | 
| com.google.cloud.aiplatform.v1.AnnotationSpecName |  | 
| com.google.cloud.aiplatform.v1.AnnotationSpecName.Builder | Builder for
 projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}. | 
| com.google.cloud.aiplatform.v1.AnnotationSpecProto |  | 
| com.google.cloud.aiplatform.v1.ApiAuth | The generic reusable api auth config. | 
| com.google.cloud.aiplatform.v1.ApiAuth.ApiKeyConfig | The API secret. | 
| com.google.cloud.aiplatform.v1.ApiAuth.ApiKeyConfig.Builder | The API secret. | 
| com.google.cloud.aiplatform.v1.ApiAuth.Builder | The generic reusable api auth config. | 
| com.google.cloud.aiplatform.v1.ApiAuthProto |  | 
| com.google.cloud.aiplatform.v1.Artifact | Instance of a general artifact. | 
| com.google.cloud.aiplatform.v1.Artifact.Builder | Instance of a general artifact. | 
| com.google.cloud.aiplatform.v1.ArtifactName |  | 
| com.google.cloud.aiplatform.v1.ArtifactName.Builder | Builder for
 projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}. | 
| com.google.cloud.aiplatform.v1.ArtifactProto |  | 
| com.google.cloud.aiplatform.v1.AssignNotebookRuntimeOperationMetadata | Metadata information for
 NotebookService.AssignNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.AssignNotebookRuntimeOperationMetadata.Builder | Metadata information for
 NotebookService.AssignNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.AssignNotebookRuntimeRequest | Request message for
 NotebookService.AssignNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.AssignNotebookRuntimeRequest.Builder | Request message for
 NotebookService.AssignNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.Attribution | Attribution that explains a particular prediction output. | 
| com.google.cloud.aiplatform.v1.Attribution.Builder | Attribution that explains a particular prediction output. | 
| com.google.cloud.aiplatform.v1.AugmentPromptRequest | Request message for AugmentPrompt. | 
| com.google.cloud.aiplatform.v1.AugmentPromptRequest.Builder | Request message for AugmentPrompt. | 
| com.google.cloud.aiplatform.v1.AugmentPromptRequest.Model | Metadata of the backend deployed model. | 
| com.google.cloud.aiplatform.v1.AugmentPromptRequest.Model.Builder | Metadata of the backend deployed model. | 
| com.google.cloud.aiplatform.v1.AugmentPromptResponse | Response message for AugmentPrompt. | 
| com.google.cloud.aiplatform.v1.AugmentPromptResponse.Builder | Response message for AugmentPrompt. | 
| com.google.cloud.aiplatform.v1.AutomaticResources | A description of resources that to large degree are decided by Vertex AI,
 and require only a modest additional configuration.
 Each Model supporting these resources documents its specific guidelines. | 
| com.google.cloud.aiplatform.v1.AutomaticResources.Builder | A description of resources that to large degree are decided by Vertex AI,
 and require only a modest additional configuration.
 Each Model supporting these resources documents its specific guidelines. | 
| com.google.cloud.aiplatform.v1.AutoscalingMetricSpec | The metric specification that defines the target resource utilization
 (CPU utilization, accelerator's duty cycle, and so on) for calculating the
 desired replica count. | 
| com.google.cloud.aiplatform.v1.AutoscalingMetricSpec.Builder | The metric specification that defines the target resource utilization
 (CPU utilization, accelerator's duty cycle, and so on) for calculating the
 desired replica count. | 
| com.google.cloud.aiplatform.v1.AvroSource | The storage details for Avro input content. | 
| com.google.cloud.aiplatform.v1.AvroSource.Builder | The storage details for Avro input content. | 
| com.google.cloud.aiplatform.v1.BatchCancelPipelineJobsOperationMetadata | Runtime operation information for
 PipelineService.BatchCancelPipelineJobs. | 
| com.google.cloud.aiplatform.v1.BatchCancelPipelineJobsOperationMetadata.Builder | Runtime operation information for
 PipelineService.BatchCancelPipelineJobs. | 
| com.google.cloud.aiplatform.v1.BatchCancelPipelineJobsRequest | Request message for
 PipelineService.BatchCancelPipelineJobs. | 
| com.google.cloud.aiplatform.v1.BatchCancelPipelineJobsRequest.Builder | Request message for
 PipelineService.BatchCancelPipelineJobs. | 
| com.google.cloud.aiplatform.v1.BatchCancelPipelineJobsResponse | Response message for
 PipelineService.BatchCancelPipelineJobs. | 
| com.google.cloud.aiplatform.v1.BatchCancelPipelineJobsResponse.Builder | Response message for
 PipelineService.BatchCancelPipelineJobs. | 
| com.google.cloud.aiplatform.v1.BatchCreateFeaturesOperationMetadata | Details of operations that perform batch create Features. | 
| com.google.cloud.aiplatform.v1.BatchCreateFeaturesOperationMetadata.Builder | Details of operations that perform batch create Features. | 
| com.google.cloud.aiplatform.v1.BatchCreateFeaturesRequest | Request message for
 FeaturestoreService.BatchCreateFeatures.
 Request message for | 
| com.google.cloud.aiplatform.v1.BatchCreateFeaturesRequest.Builder | Request message for
 FeaturestoreService.BatchCreateFeatures.
 Request message for | 
| com.google.cloud.aiplatform.v1.BatchCreateFeaturesResponse | Response message for
 FeaturestoreService.BatchCreateFeatures. | 
| com.google.cloud.aiplatform.v1.BatchCreateFeaturesResponse.Builder | Response message for
 FeaturestoreService.BatchCreateFeatures. | 
| com.google.cloud.aiplatform.v1.BatchCreateTensorboardRunsRequest | Request message for
 TensorboardService.BatchCreateTensorboardRuns. | 
| com.google.cloud.aiplatform.v1.BatchCreateTensorboardRunsRequest.Builder | Request message for
 TensorboardService.BatchCreateTensorboardRuns. | 
| com.google.cloud.aiplatform.v1.BatchCreateTensorboardRunsResponse | Response message for
 TensorboardService.BatchCreateTensorboardRuns. | 
| com.google.cloud.aiplatform.v1.BatchCreateTensorboardRunsResponse.Builder | Response message for
 TensorboardService.BatchCreateTensorboardRuns. | 
| com.google.cloud.aiplatform.v1.BatchCreateTensorboardTimeSeriesRequest | Request message for
 TensorboardService.BatchCreateTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.BatchCreateTensorboardTimeSeriesRequest.Builder | Request message for
 TensorboardService.BatchCreateTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.BatchCreateTensorboardTimeSeriesResponse | Response message for
 TensorboardService.BatchCreateTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.BatchCreateTensorboardTimeSeriesResponse.Builder | Response message for
 TensorboardService.BatchCreateTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.BatchDedicatedResources | A description of resources that are used for performing batch operations, are
 dedicated to a Model, and need manual configuration. | 
| com.google.cloud.aiplatform.v1.BatchDedicatedResources.Builder | A description of resources that are used for performing batch operations, are
 dedicated to a Model, and need manual configuration. | 
| com.google.cloud.aiplatform.v1.BatchDeletePipelineJobsRequest | Request message for
 PipelineService.BatchDeletePipelineJobs. | 
| com.google.cloud.aiplatform.v1.BatchDeletePipelineJobsRequest.Builder | Request message for
 PipelineService.BatchDeletePipelineJobs. | 
| com.google.cloud.aiplatform.v1.BatchDeletePipelineJobsResponse | Response message for
 PipelineService.BatchDeletePipelineJobs. | 
| com.google.cloud.aiplatform.v1.BatchDeletePipelineJobsResponse.Builder | Response message for
 PipelineService.BatchDeletePipelineJobs. | 
| com.google.cloud.aiplatform.v1.BatchImportEvaluatedAnnotationsRequest | Request message for
 ModelService.BatchImportEvaluatedAnnotations | 
| com.google.cloud.aiplatform.v1.BatchImportEvaluatedAnnotationsRequest.Builder | Request message for
 ModelService.BatchImportEvaluatedAnnotations | 
| com.google.cloud.aiplatform.v1.BatchImportEvaluatedAnnotationsResponse | Response message for
 ModelService.BatchImportEvaluatedAnnotations | 
| com.google.cloud.aiplatform.v1.BatchImportEvaluatedAnnotationsResponse.Builder | Response message for
 ModelService.BatchImportEvaluatedAnnotations | 
| com.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest | Request message for
 ModelService.BatchImportModelEvaluationSlices | 
| com.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest.Builder | Request message for
 ModelService.BatchImportModelEvaluationSlices | 
| com.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse | Response message for
 ModelService.BatchImportModelEvaluationSlices | 
| com.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse.Builder | Response message for
 ModelService.BatchImportModelEvaluationSlices | 
| com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata | Runtime operation information for
 MigrationService.BatchMigrateResources. | 
| com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.Builder | Runtime operation information for
 MigrationService.BatchMigrateResources. | 
| com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult | Represents a partial result in batch migration operation for one
 MigrateResourceRequest. | 
| com.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult.Builder | Represents a partial result in batch migration operation for one
 MigrateResourceRequest. | 
| com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest | Request message for
 MigrationService.BatchMigrateResources. | 
| com.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.Builder | Request message for
 MigrationService.BatchMigrateResources. | 
| com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse | Response message for
 MigrationService.BatchMigrateResources. | 
| com.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse.Builder | Response message for
 MigrationService.BatchMigrateResources. | 
| com.google.cloud.aiplatform.v1.BatchPredictionJob | A job that uses a
 Model to produce
 predictions on multiple input | 
| com.google.cloud.aiplatform.v1.BatchPredictionJob.Builder | A job that uses a
 Model to produce
 predictions on multiple input | 
| com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig | Configures the input to
 BatchPredictionJob. See
 Model.supported_input_storage_formats | 
| com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.Builder | Configures the input to
 BatchPredictionJob. See
 Model.supported_input_storage_formats | 
| com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig | Configuration defining how to transform batch prediction input instances to
 the instances that the Model accepts. | 
| com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.Builder | Configuration defining how to transform batch prediction input instances to
 the instances that the Model accepts. | 
| com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig | Configures the output of
 BatchPredictionJob. See
 Model.supported_output_storage_formats | 
| com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.Builder | Configures the output of
 BatchPredictionJob. See
 Model.supported_output_storage_formats | 
| com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo | Further describes this job's output.
 Supplements
 output_config. | 
| com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo.Builder | Further describes this job's output.
 Supplements
 output_config. | 
| com.google.cloud.aiplatform.v1.BatchPredictionJobName |  | 
| com.google.cloud.aiplatform.v1.BatchPredictionJobName.Builder | Builder for projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}. | 
| com.google.cloud.aiplatform.v1.BatchPredictionJobProto |  | 
| com.google.cloud.aiplatform.v1.BatchReadFeatureValuesOperationMetadata | Details of operations that batch reads Feature values. | 
| com.google.cloud.aiplatform.v1.BatchReadFeatureValuesOperationMetadata.Builder | Details of operations that batch reads Feature values. | 
| com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest | Request message for
 FeaturestoreService.BatchReadFeatureValues. | 
| com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.Builder | Request message for
 FeaturestoreService.BatchReadFeatureValues. | 
| com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.EntityTypeSpec | Selects Features of an EntityType to read values of and specifies read
 settings. | 
| com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.EntityTypeSpec.Builder | Selects Features of an EntityType to read values of and specifies read
 settings. | 
| com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.PassThroughField | Describe pass-through fields in read_instance source. | 
| com.google.cloud.aiplatform.v1.BatchReadFeatureValuesRequest.PassThroughField.Builder | Describe pass-through fields in read_instance source. | 
| com.google.cloud.aiplatform.v1.BatchReadFeatureValuesResponse | Response message for
 FeaturestoreService.BatchReadFeatureValues. | 
| com.google.cloud.aiplatform.v1.BatchReadFeatureValuesResponse.Builder | Response message for
 FeaturestoreService.BatchReadFeatureValues. | 
| com.google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest | Request message for
 TensorboardService.BatchReadTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataRequest.Builder | Request message for
 TensorboardService.BatchReadTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataResponse | Response message for
 TensorboardService.BatchReadTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.BatchReadTensorboardTimeSeriesDataResponse.Builder | Response message for
 TensorboardService.BatchReadTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.BigQueryDestination | The BigQuery location for the output content. | 
| com.google.cloud.aiplatform.v1.BigQueryDestination.Builder | The BigQuery location for the output content. | 
| com.google.cloud.aiplatform.v1.BigQuerySource | The BigQuery location for the input content. | 
| com.google.cloud.aiplatform.v1.BigQuerySource.Builder | The BigQuery location for the input content. | 
| com.google.cloud.aiplatform.v1.BleuInput | Input for bleu metric. | 
| com.google.cloud.aiplatform.v1.BleuInput.Builder | Input for bleu metric. | 
| com.google.cloud.aiplatform.v1.BleuInstance | Spec for bleu instance. | 
| com.google.cloud.aiplatform.v1.BleuInstance.Builder | Spec for bleu instance. | 
| com.google.cloud.aiplatform.v1.BleuMetricValue | Bleu metric value for an instance. | 
| com.google.cloud.aiplatform.v1.BleuMetricValue.Builder | Bleu metric value for an instance. | 
| com.google.cloud.aiplatform.v1.BleuResults | Results for bleu metric. | 
| com.google.cloud.aiplatform.v1.BleuResults.Builder | Results for bleu metric. | 
| com.google.cloud.aiplatform.v1.BleuSpec | 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. | 
| com.google.cloud.aiplatform.v1.BleuSpec.Builder | 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. | 
| com.google.cloud.aiplatform.v1.Blob | Content blob.
 It's preferred to send as text | 
| com.google.cloud.aiplatform.v1.Blob.Builder | Content blob.
 It's preferred to send as text | 
| com.google.cloud.aiplatform.v1.BlurBaselineConfig | Config for blur baseline.
 When enabled, a linear path from the maximally blurred image to the input | 
| com.google.cloud.aiplatform.v1.BlurBaselineConfig.Builder | Config for blur baseline.
 When enabled, a linear path from the maximally blurred image to the input | 
| com.google.cloud.aiplatform.v1.BoolArray | A list of boolean values. | 
| com.google.cloud.aiplatform.v1.BoolArray.Builder | A list of boolean values. | 
| com.google.cloud.aiplatform.v1.CachedContent | A resource used in LLM queries for users to explicitly specify what to cache
 and how to cache. | 
| com.google.cloud.aiplatform.v1.CachedContent.Builder | A resource used in LLM queries for users to explicitly specify what to cache
 and how to cache. | 
| com.google.cloud.aiplatform.v1.CachedContent.UsageMetadata | Metadata on the usage of the cached content. | 
| com.google.cloud.aiplatform.v1.CachedContent.UsageMetadata.Builder | Metadata on the usage of the cached content. | 
| com.google.cloud.aiplatform.v1.CachedContentName |  | 
| com.google.cloud.aiplatform.v1.CachedContentName.Builder | Builder for projects/{project}/locations/{location}/cachedContents/{cached_content}. | 
| com.google.cloud.aiplatform.v1.CachedContentProto |  | 
| com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest | Request message for
 JobService.CancelBatchPredictionJob. | 
| com.google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest.Builder | Request message for
 JobService.CancelBatchPredictionJob. | 
| com.google.cloud.aiplatform.v1.CancelCustomJobRequest | Request message for
 JobService.CancelCustomJob. | 
| com.google.cloud.aiplatform.v1.CancelCustomJobRequest.Builder | Request message for
 JobService.CancelCustomJob. | 
| com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest | Request message for
 JobService.CancelDataLabelingJob. | 
| com.google.cloud.aiplatform.v1.CancelDataLabelingJobRequest.Builder | Request message for
 JobService.CancelDataLabelingJob. | 
| com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest | Request message for
 JobService.CancelHyperparameterTuningJob. | 
| com.google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest.Builder | Request message for
 JobService.CancelHyperparameterTuningJob. | 
| com.google.cloud.aiplatform.v1.CancelNasJobRequest | Request message for
 JobService.CancelNasJob. | 
| com.google.cloud.aiplatform.v1.CancelNasJobRequest.Builder | Request message for
 JobService.CancelNasJob. | 
| com.google.cloud.aiplatform.v1.CancelPipelineJobRequest | Request message for
 PipelineService.CancelPipelineJob. | 
| com.google.cloud.aiplatform.v1.CancelPipelineJobRequest.Builder | Request message for
 PipelineService.CancelPipelineJob. | 
| com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest | Request message for
 PipelineService.CancelTrainingPipeline. | 
| com.google.cloud.aiplatform.v1.CancelTrainingPipelineRequest.Builder | Request message for
 PipelineService.CancelTrainingPipeline. | 
| com.google.cloud.aiplatform.v1.CancelTuningJobRequest | Request message for
 GenAiTuningService.CancelTuningJob. | 
| com.google.cloud.aiplatform.v1.CancelTuningJobRequest.Builder | Request message for
 GenAiTuningService.CancelTuningJob. | 
| com.google.cloud.aiplatform.v1.Candidate | A response candidate generated from the model. | 
| com.google.cloud.aiplatform.v1.Candidate.Builder | A response candidate generated from the model. | 
| com.google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateMetatdata | This message will be placed in the metadata field of a
 google.longrunning.Operation associated with a CheckTrialEarlyStoppingState
 request. | 
| com.google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateMetatdata.Builder | This message will be placed in the metadata field of a
 google.longrunning.Operation associated with a CheckTrialEarlyStoppingState
 request. | 
| com.google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateRequest | Request message for
 VizierService.CheckTrialEarlyStoppingState. | 
| com.google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateRequest.Builder | Request message for
 VizierService.CheckTrialEarlyStoppingState. | 
| com.google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse | Response message for
 VizierService.CheckTrialEarlyStoppingState. | 
| com.google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse.Builder | Response message for
 VizierService.CheckTrialEarlyStoppingState. | 
| com.google.cloud.aiplatform.v1.Checkpoint | Describes the machine learning model version checkpoint. | 
| com.google.cloud.aiplatform.v1.Checkpoint.Builder | Describes the machine learning model version checkpoint. | 
| com.google.cloud.aiplatform.v1.Citation | Source attributions for content. | 
| com.google.cloud.aiplatform.v1.Citation.Builder | Source attributions for content. | 
| com.google.cloud.aiplatform.v1.CitationMetadata | A collection of source attributions for a piece of content. | 
| com.google.cloud.aiplatform.v1.CitationMetadata.Builder | A collection of source attributions for a piece of content. | 
| com.google.cloud.aiplatform.v1.Claim | Claim that is extracted from the input text and facts that support it. | 
| com.google.cloud.aiplatform.v1.Claim.Builder | Claim that is extracted from the input text and facts that support it. | 
| com.google.cloud.aiplatform.v1.ClientConnectionConfig | Configurations (e.g. inference timeout) that are applied on your endpoints. | 
| com.google.cloud.aiplatform.v1.ClientConnectionConfig.Builder | Configurations (e.g. inference timeout) that are applied on your endpoints. | 
| com.google.cloud.aiplatform.v1.CodeExecutionResult | Result of executing the [ExecutableCode].
 Always follows a partcontaining the [ExecutableCode]. | 
| com.google.cloud.aiplatform.v1.CodeExecutionResult.Builder | Result of executing the [ExecutableCode].
 Always follows a partcontaining the [ExecutableCode]. | 
| com.google.cloud.aiplatform.v1.CoherenceInput | Input for coherence metric. | 
| com.google.cloud.aiplatform.v1.CoherenceInput.Builder | Input for coherence metric. | 
| com.google.cloud.aiplatform.v1.CoherenceInstance | Spec for coherence instance. | 
| com.google.cloud.aiplatform.v1.CoherenceInstance.Builder | Spec for coherence instance. | 
| com.google.cloud.aiplatform.v1.CoherenceResult | Spec for coherence result. | 
| com.google.cloud.aiplatform.v1.CoherenceResult.Builder | Spec for coherence result. | 
| com.google.cloud.aiplatform.v1.CoherenceSpec | Spec for coherence score metric. | 
| com.google.cloud.aiplatform.v1.CoherenceSpec.Builder | Spec for coherence score metric. | 
| com.google.cloud.aiplatform.v1.ColabImage | Colab image of the runtime. | 
| com.google.cloud.aiplatform.v1.ColabImage.Builder | Colab image of the runtime. | 
| com.google.cloud.aiplatform.v1.CometInput | Input for Comet metric. | 
| com.google.cloud.aiplatform.v1.CometInput.Builder | Input for Comet metric. | 
| com.google.cloud.aiplatform.v1.CometInstance | Spec for Comet instance - The fields used for evaluation are dependent on the
 comet version. | 
| com.google.cloud.aiplatform.v1.CometInstance.Builder | Spec for Comet instance - The fields used for evaluation are dependent on the
 comet version. | 
| com.google.cloud.aiplatform.v1.CometResult | Spec for Comet result - calculates the comet score for the given instance
 using the version specified in the spec. | 
| com.google.cloud.aiplatform.v1.CometResult.Builder | Spec for Comet result - calculates the comet score for the given instance
 using the version specified in the spec. | 
| com.google.cloud.aiplatform.v1.CometSpec | Spec for Comet metric. | 
| com.google.cloud.aiplatform.v1.CometSpec.Builder | Spec for Comet metric. | 
| com.google.cloud.aiplatform.v1.CompleteTrialRequest | Request message for
 VizierService.CompleteTrial. | 
| com.google.cloud.aiplatform.v1.CompleteTrialRequest.Builder | Request message for
 VizierService.CompleteTrial. | 
| com.google.cloud.aiplatform.v1.CompletionStats | Success and error statistics of processing multiple entities
 (for example, DataItems or structured data rows) in batch. | 
| com.google.cloud.aiplatform.v1.CompletionStats.Builder | Success and error statistics of processing multiple entities
 (for example, DataItems or structured data rows) in batch. | 
| com.google.cloud.aiplatform.v1.CompletionStatsProto |  | 
| com.google.cloud.aiplatform.v1.ComputeTokensRequest | Request message for ComputeTokens RPC call. | 
| com.google.cloud.aiplatform.v1.ComputeTokensRequest.Builder | Request message for ComputeTokens RPC call. | 
| com.google.cloud.aiplatform.v1.ComputeTokensResponse | Response message for ComputeTokens RPC call. | 
| com.google.cloud.aiplatform.v1.ComputeTokensResponse.Builder | Response message for ComputeTokens RPC call. | 
| com.google.cloud.aiplatform.v1.ContainerRegistryDestination | The Container Registry location for the container image. | 
| com.google.cloud.aiplatform.v1.ContainerRegistryDestination.Builder | The Container Registry location for the container image. | 
| com.google.cloud.aiplatform.v1.ContainerSpec | The spec of a Container. | 
| com.google.cloud.aiplatform.v1.ContainerSpec.Builder | The spec of a Container. | 
| com.google.cloud.aiplatform.v1.Content | The base structured datatype containing multi-part content of a message.
 A Contentincludes arolefield designating the producer of theContent | 
| com.google.cloud.aiplatform.v1.Content.Builder | The base structured datatype containing multi-part content of a message.
 A Contentincludes arolefield designating the producer of theContent | 
| com.google.cloud.aiplatform.v1.ContentProto |  | 
| com.google.cloud.aiplatform.v1.Context | Instance of a general context. | 
| com.google.cloud.aiplatform.v1.Context.Builder | Instance of a general context. | 
| com.google.cloud.aiplatform.v1.ContextName |  | 
| com.google.cloud.aiplatform.v1.ContextName.Builder | Builder for
 projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}. | 
| com.google.cloud.aiplatform.v1.ContextProto |  | 
| com.google.cloud.aiplatform.v1.CopyModelOperationMetadata | Details of
 ModelService.CopyModel
 operation. | 
| com.google.cloud.aiplatform.v1.CopyModelOperationMetadata.Builder | Details of
 ModelService.CopyModel
 operation. | 
| com.google.cloud.aiplatform.v1.CopyModelRequest | Request message for
 ModelService.CopyModel. | 
| com.google.cloud.aiplatform.v1.CopyModelRequest.Builder | Request message for
 ModelService.CopyModel. | 
| com.google.cloud.aiplatform.v1.CopyModelResponse | Response message of
 ModelService.CopyModel
 operation. | 
| com.google.cloud.aiplatform.v1.CopyModelResponse.Builder | Response message of
 ModelService.CopyModel
 operation. | 
| com.google.cloud.aiplatform.v1.CorpusStatus | RagCorpus status. | 
| com.google.cloud.aiplatform.v1.CorpusStatus.Builder | RagCorpus status. | 
| com.google.cloud.aiplatform.v1.CorroborateContentRequest | Request message for CorroborateContent. | 
| com.google.cloud.aiplatform.v1.CorroborateContentRequest.Builder | Request message for CorroborateContent. | 
| com.google.cloud.aiplatform.v1.CorroborateContentRequest.Parameters | Parameters that can be overrided per request. | 
| com.google.cloud.aiplatform.v1.CorroborateContentRequest.Parameters.Builder | Parameters that can be overrided per request. | 
| com.google.cloud.aiplatform.v1.CorroborateContentResponse | Response message for CorroborateContent. | 
| com.google.cloud.aiplatform.v1.CorroborateContentResponse.Builder | Response message for CorroborateContent. | 
| com.google.cloud.aiplatform.v1.CountTokensRequest | Request message for [PredictionService.CountTokens][]. | 
| com.google.cloud.aiplatform.v1.CountTokensRequest.Builder | Request message for [PredictionService.CountTokens][]. | 
| com.google.cloud.aiplatform.v1.CountTokensResponse | Response message for [PredictionService.CountTokens][]. | 
| com.google.cloud.aiplatform.v1.CountTokensResponse.Builder | Response message for [PredictionService.CountTokens][]. | 
| com.google.cloud.aiplatform.v1.CreateArtifactRequest | Request message for
 MetadataService.CreateArtifact. | 
| com.google.cloud.aiplatform.v1.CreateArtifactRequest.Builder | Request message for
 MetadataService.CreateArtifact. | 
| com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest | Request message for
 JobService.CreateBatchPredictionJob. | 
| com.google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest.Builder | Request message for
 JobService.CreateBatchPredictionJob. | 
| com.google.cloud.aiplatform.v1.CreateCachedContentRequest | Request message for
 GenAiCacheService.CreateCachedContent. | 
| com.google.cloud.aiplatform.v1.CreateCachedContentRequest.Builder | Request message for
 GenAiCacheService.CreateCachedContent. | 
| com.google.cloud.aiplatform.v1.CreateContextRequest | Request message for
 MetadataService.CreateContext. | 
| com.google.cloud.aiplatform.v1.CreateContextRequest.Builder | Request message for
 MetadataService.CreateContext. | 
| com.google.cloud.aiplatform.v1.CreateCustomJobRequest | Request message for
 JobService.CreateCustomJob. | 
| com.google.cloud.aiplatform.v1.CreateCustomJobRequest.Builder | Request message for
 JobService.CreateCustomJob. | 
| com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest | Request message for
 JobService.CreateDataLabelingJob. | 
| com.google.cloud.aiplatform.v1.CreateDataLabelingJobRequest.Builder | Request message for
 JobService.CreateDataLabelingJob. | 
| com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata | Runtime operation information for
 DatasetService.CreateDataset. | 
| com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.Builder | Runtime operation information for
 DatasetService.CreateDataset. | 
| com.google.cloud.aiplatform.v1.CreateDatasetRequest | Request message for
 DatasetService.CreateDataset. | 
| com.google.cloud.aiplatform.v1.CreateDatasetRequest.Builder | Request message for
 DatasetService.CreateDataset. | 
| com.google.cloud.aiplatform.v1.CreateDatasetVersionOperationMetadata | Runtime operation information for
 DatasetService.CreateDatasetVersion. | 
| com.google.cloud.aiplatform.v1.CreateDatasetVersionOperationMetadata.Builder | Runtime operation information for
 DatasetService.CreateDatasetVersion. | 
| com.google.cloud.aiplatform.v1.CreateDatasetVersionRequest | Request message for
 DatasetService.CreateDatasetVersion. | 
| com.google.cloud.aiplatform.v1.CreateDatasetVersionRequest.Builder | Request message for
 DatasetService.CreateDatasetVersion. | 
| com.google.cloud.aiplatform.v1.CreateDeploymentResourcePoolOperationMetadata | Runtime operation information for CreateDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.CreateDeploymentResourcePoolOperationMetadata.Builder | Runtime operation information for CreateDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.CreateDeploymentResourcePoolRequest | Request message for CreateDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.CreateDeploymentResourcePoolRequest.Builder | Request message for CreateDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata | Runtime operation information for
 EndpointService.CreateEndpoint. | 
| com.google.cloud.aiplatform.v1.CreateEndpointOperationMetadata.Builder | Runtime operation information for
 EndpointService.CreateEndpoint. | 
| com.google.cloud.aiplatform.v1.CreateEndpointRequest | Request message for
 EndpointService.CreateEndpoint. | 
| com.google.cloud.aiplatform.v1.CreateEndpointRequest.Builder | Request message for
 EndpointService.CreateEndpoint. | 
| com.google.cloud.aiplatform.v1.CreateEntityTypeOperationMetadata | Details of operations that perform create EntityType. | 
| com.google.cloud.aiplatform.v1.CreateEntityTypeOperationMetadata.Builder | Details of operations that perform create EntityType. | 
| com.google.cloud.aiplatform.v1.CreateEntityTypeRequest | Request message for
 FeaturestoreService.CreateEntityType. | 
| com.google.cloud.aiplatform.v1.CreateEntityTypeRequest.Builder | Request message for
 FeaturestoreService.CreateEntityType. | 
| com.google.cloud.aiplatform.v1.CreateExecutionRequest | Request message for
 MetadataService.CreateExecution. | 
| com.google.cloud.aiplatform.v1.CreateExecutionRequest.Builder | Request message for
 MetadataService.CreateExecution. | 
| com.google.cloud.aiplatform.v1.CreateFeatureGroupOperationMetadata | Details of operations that perform create FeatureGroup. | 
| com.google.cloud.aiplatform.v1.CreateFeatureGroupOperationMetadata.Builder | Details of operations that perform create FeatureGroup. | 
| com.google.cloud.aiplatform.v1.CreateFeatureGroupRequest | Request message for
 FeatureRegistryService.CreateFeatureGroup. | 
| com.google.cloud.aiplatform.v1.CreateFeatureGroupRequest.Builder | Request message for
 FeatureRegistryService.CreateFeatureGroup. | 
| com.google.cloud.aiplatform.v1.CreateFeatureOnlineStoreOperationMetadata | Details of operations that perform create FeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.CreateFeatureOnlineStoreOperationMetadata.Builder | Details of operations that perform create FeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.CreateFeatureOnlineStoreRequest | Request message for
 FeatureOnlineStoreAdminService.CreateFeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.CreateFeatureOnlineStoreRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.CreateFeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.CreateFeatureOperationMetadata | Details of operations that perform create Feature. | 
| com.google.cloud.aiplatform.v1.CreateFeatureOperationMetadata.Builder | Details of operations that perform create Feature. | 
| com.google.cloud.aiplatform.v1.CreateFeatureRequest | Request message for
 FeaturestoreService.CreateFeature.
 Request message for | 
| com.google.cloud.aiplatform.v1.CreateFeatureRequest.Builder | Request message for
 FeaturestoreService.CreateFeature.
 Request message for | 
| com.google.cloud.aiplatform.v1.CreateFeatureViewOperationMetadata | Details of operations that perform create FeatureView. | 
| com.google.cloud.aiplatform.v1.CreateFeatureViewOperationMetadata.Builder | Details of operations that perform create FeatureView. | 
| com.google.cloud.aiplatform.v1.CreateFeatureViewRequest | Request message for
 FeatureOnlineStoreAdminService.CreateFeatureView. | 
| com.google.cloud.aiplatform.v1.CreateFeatureViewRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.CreateFeatureView. | 
| com.google.cloud.aiplatform.v1.CreateFeaturestoreOperationMetadata | Details of operations that perform create Featurestore. | 
| com.google.cloud.aiplatform.v1.CreateFeaturestoreOperationMetadata.Builder | Details of operations that perform create Featurestore. | 
| com.google.cloud.aiplatform.v1.CreateFeaturestoreRequest | Request message for
 FeaturestoreService.CreateFeaturestore. | 
| com.google.cloud.aiplatform.v1.CreateFeaturestoreRequest.Builder | Request message for
 FeaturestoreService.CreateFeaturestore. | 
| com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest | Request message for
 JobService.CreateHyperparameterTuningJob. | 
| com.google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest.Builder | Request message for
 JobService.CreateHyperparameterTuningJob. | 
| com.google.cloud.aiplatform.v1.CreateIndexEndpointOperationMetadata | Runtime operation information for
 IndexEndpointService.CreateIndexEndpoint. | 
| com.google.cloud.aiplatform.v1.CreateIndexEndpointOperationMetadata.Builder | Runtime operation information for
 IndexEndpointService.CreateIndexEndpoint. | 
| com.google.cloud.aiplatform.v1.CreateIndexEndpointRequest | Request message for
 IndexEndpointService.CreateIndexEndpoint. | 
| com.google.cloud.aiplatform.v1.CreateIndexEndpointRequest.Builder | Request message for
 IndexEndpointService.CreateIndexEndpoint. | 
| com.google.cloud.aiplatform.v1.CreateIndexOperationMetadata | Runtime operation information for
 IndexService.CreateIndex. | 
| com.google.cloud.aiplatform.v1.CreateIndexOperationMetadata.Builder | Runtime operation information for
 IndexService.CreateIndex. | 
| com.google.cloud.aiplatform.v1.CreateIndexRequest | Request message for
 IndexService.CreateIndex. | 
| com.google.cloud.aiplatform.v1.CreateIndexRequest.Builder | Request message for
 IndexService.CreateIndex. | 
| com.google.cloud.aiplatform.v1.CreateMetadataSchemaRequest | Request message for
 MetadataService.CreateMetadataSchema. | 
| com.google.cloud.aiplatform.v1.CreateMetadataSchemaRequest.Builder | Request message for
 MetadataService.CreateMetadataSchema. | 
| com.google.cloud.aiplatform.v1.CreateMetadataStoreOperationMetadata | Details of operations that perform
 MetadataService.CreateMetadataStore. | 
| com.google.cloud.aiplatform.v1.CreateMetadataStoreOperationMetadata.Builder | Details of operations that perform
 MetadataService.CreateMetadataStore. | 
| com.google.cloud.aiplatform.v1.CreateMetadataStoreRequest | Request message for
 MetadataService.CreateMetadataStore. | 
| com.google.cloud.aiplatform.v1.CreateMetadataStoreRequest.Builder | Request message for
 MetadataService.CreateMetadataStore. | 
| com.google.cloud.aiplatform.v1.CreateModelDeploymentMonitoringJobRequest | Request message for
 JobService.CreateModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.CreateModelDeploymentMonitoringJobRequest.Builder | Request message for
 JobService.CreateModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.CreateNasJobRequest | Request message for
 JobService.CreateNasJob. | 
| com.google.cloud.aiplatform.v1.CreateNasJobRequest.Builder | Request message for
 JobService.CreateNasJob. | 
| com.google.cloud.aiplatform.v1.CreateNotebookExecutionJobOperationMetadata | Metadata information for
 NotebookService.CreateNotebookExecutionJob. | 
| com.google.cloud.aiplatform.v1.CreateNotebookExecutionJobOperationMetadata.Builder | Metadata information for
 NotebookService.CreateNotebookExecutionJob. | 
| com.google.cloud.aiplatform.v1.CreateNotebookExecutionJobRequest | Request message for [NotebookService.CreateNotebookExecutionJob] | 
| com.google.cloud.aiplatform.v1.CreateNotebookExecutionJobRequest.Builder | Request message for [NotebookService.CreateNotebookExecutionJob] | 
| com.google.cloud.aiplatform.v1.CreateNotebookRuntimeTemplateOperationMetadata | Metadata information for
 NotebookService.CreateNotebookRuntimeTemplate. | 
| com.google.cloud.aiplatform.v1.CreateNotebookRuntimeTemplateOperationMetadata.Builder | Metadata information for
 NotebookService.CreateNotebookRuntimeTemplate. | 
| com.google.cloud.aiplatform.v1.CreateNotebookRuntimeTemplateRequest | Request message for
 NotebookService.CreateNotebookRuntimeTemplate. | 
| com.google.cloud.aiplatform.v1.CreateNotebookRuntimeTemplateRequest.Builder | Request message for
 NotebookService.CreateNotebookRuntimeTemplate. | 
| com.google.cloud.aiplatform.v1.CreatePersistentResourceOperationMetadata | Details of operations that perform create PersistentResource. | 
| com.google.cloud.aiplatform.v1.CreatePersistentResourceOperationMetadata.Builder | Details of operations that perform create PersistentResource. | 
| com.google.cloud.aiplatform.v1.CreatePersistentResourceRequest | Request message for
 PersistentResourceService.CreatePersistentResource. | 
| com.google.cloud.aiplatform.v1.CreatePersistentResourceRequest.Builder | Request message for
 PersistentResourceService.CreatePersistentResource. | 
| com.google.cloud.aiplatform.v1.CreatePipelineJobRequest | Request message for
 PipelineService.CreatePipelineJob. | 
| com.google.cloud.aiplatform.v1.CreatePipelineJobRequest.Builder | Request message for
 PipelineService.CreatePipelineJob. | 
| com.google.cloud.aiplatform.v1.CreateRagCorpusOperationMetadata | Runtime operation information for
 VertexRagDataService.CreateRagCorpus. | 
| com.google.cloud.aiplatform.v1.CreateRagCorpusOperationMetadata.Builder | Runtime operation information for
 VertexRagDataService.CreateRagCorpus. | 
| com.google.cloud.aiplatform.v1.CreateRagCorpusRequest | Request message for
 VertexRagDataService.CreateRagCorpus. | 
| com.google.cloud.aiplatform.v1.CreateRagCorpusRequest.Builder | Request message for
 VertexRagDataService.CreateRagCorpus. | 
| com.google.cloud.aiplatform.v1.CreateReasoningEngineOperationMetadata | Details of
 ReasoningEngineService.CreateReasoningEngine
 operation. | 
| com.google.cloud.aiplatform.v1.CreateReasoningEngineOperationMetadata.Builder | Details of
 ReasoningEngineService.CreateReasoningEngine
 operation. | 
| com.google.cloud.aiplatform.v1.CreateReasoningEngineRequest | Request message for
 ReasoningEngineService.CreateReasoningEngine. | 
| com.google.cloud.aiplatform.v1.CreateReasoningEngineRequest.Builder | Request message for
 ReasoningEngineService.CreateReasoningEngine. | 
| com.google.cloud.aiplatform.v1.CreateRegistryFeatureOperationMetadata | Details of operations that perform create FeatureGroup. | 
| com.google.cloud.aiplatform.v1.CreateRegistryFeatureOperationMetadata.Builder | Details of operations that perform create FeatureGroup. | 
| com.google.cloud.aiplatform.v1.CreateScheduleRequest | Request message for
 ScheduleService.CreateSchedule. | 
| com.google.cloud.aiplatform.v1.CreateScheduleRequest.Builder | Request message for
 ScheduleService.CreateSchedule. | 
| com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata | Runtime operation information for
 SpecialistPoolService.CreateSpecialistPool. | 
| com.google.cloud.aiplatform.v1.CreateSpecialistPoolOperationMetadata.Builder | Runtime operation information for
 SpecialistPoolService.CreateSpecialistPool. | 
| com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest | Request message for
 SpecialistPoolService.CreateSpecialistPool. | 
| com.google.cloud.aiplatform.v1.CreateSpecialistPoolRequest.Builder | Request message for
 SpecialistPoolService.CreateSpecialistPool. | 
| com.google.cloud.aiplatform.v1.CreateStudyRequest | Request message for
 VizierService.CreateStudy. | 
| com.google.cloud.aiplatform.v1.CreateStudyRequest.Builder | Request message for
 VizierService.CreateStudy. | 
| com.google.cloud.aiplatform.v1.CreateTensorboardExperimentRequest | Request message for
 TensorboardService.CreateTensorboardExperiment. | 
| com.google.cloud.aiplatform.v1.CreateTensorboardExperimentRequest.Builder | Request message for
 TensorboardService.CreateTensorboardExperiment. | 
| com.google.cloud.aiplatform.v1.CreateTensorboardOperationMetadata | Details of operations that perform create Tensorboard. | 
| com.google.cloud.aiplatform.v1.CreateTensorboardOperationMetadata.Builder | Details of operations that perform create Tensorboard. | 
| com.google.cloud.aiplatform.v1.CreateTensorboardRequest | Request message for
 TensorboardService.CreateTensorboard. | 
| com.google.cloud.aiplatform.v1.CreateTensorboardRequest.Builder | Request message for
 TensorboardService.CreateTensorboard. | 
| com.google.cloud.aiplatform.v1.CreateTensorboardRunRequest | Request message for
 TensorboardService.CreateTensorboardRun. | 
| com.google.cloud.aiplatform.v1.CreateTensorboardRunRequest.Builder | Request message for
 TensorboardService.CreateTensorboardRun. | 
| com.google.cloud.aiplatform.v1.CreateTensorboardTimeSeriesRequest | Request message for
 TensorboardService.CreateTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.CreateTensorboardTimeSeriesRequest.Builder | Request message for
 TensorboardService.CreateTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest | Request message for
 PipelineService.CreateTrainingPipeline. | 
| com.google.cloud.aiplatform.v1.CreateTrainingPipelineRequest.Builder | Request message for
 PipelineService.CreateTrainingPipeline. | 
| com.google.cloud.aiplatform.v1.CreateTrialRequest | Request message for
 VizierService.CreateTrial. | 
| com.google.cloud.aiplatform.v1.CreateTrialRequest.Builder | Request message for
 VizierService.CreateTrial. | 
| com.google.cloud.aiplatform.v1.CreateTuningJobRequest | Request message for
 GenAiTuningService.CreateTuningJob. | 
| com.google.cloud.aiplatform.v1.CreateTuningJobRequest.Builder | Request message for
 GenAiTuningService.CreateTuningJob. | 
| com.google.cloud.aiplatform.v1.CsvDestination | The storage details for CSV output content. | 
| com.google.cloud.aiplatform.v1.CsvDestination.Builder | The storage details for CSV output content. | 
| com.google.cloud.aiplatform.v1.CsvSource | The storage details for CSV input content. | 
| com.google.cloud.aiplatform.v1.CsvSource.Builder | The storage details for CSV input content. | 
| com.google.cloud.aiplatform.v1.CustomJob | Represents a job that runs custom workloads such as a Docker container or a
 Python package. A CustomJob can have multiple worker pools and each worker
 pool can have its own machine and input spec. A CustomJob will be cleaned up | 
| com.google.cloud.aiplatform.v1.CustomJob.Builder | Represents a job that runs custom workloads such as a Docker container or a
 Python package. A CustomJob can have multiple worker pools and each worker
 pool can have its own machine and input spec. A CustomJob will be cleaned up | 
| com.google.cloud.aiplatform.v1.CustomJobName |  | 
| com.google.cloud.aiplatform.v1.CustomJobName.Builder | Builder for projects/{project}/locations/{location}/customJobs/{custom_job}. | 
| com.google.cloud.aiplatform.v1.CustomJobProto |  | 
| com.google.cloud.aiplatform.v1.CustomJobSpec | Represents the spec of a CustomJob. | 
| com.google.cloud.aiplatform.v1.CustomJobSpec.Builder | Represents the spec of a CustomJob. | 
| com.google.cloud.aiplatform.v1.DataFoundryServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DataFoundryServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.DataFoundryServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DataFoundryServiceGrpc | Service for generating and preparing datasets for Gen AI evaluation. | 
| com.google.cloud.aiplatform.v1.DataFoundryServiceGrpc.DataFoundryServiceImplBase | Base class for the server implementation of the service DataFoundryService.
 Service for generating and preparing datasets for Gen AI evaluation. | 
| com.google.cloud.aiplatform.v1.DataFoundryServiceProto |  | 
| com.google.cloud.aiplatform.v1.DataFoundryServiceSettings.Builder | Builder for DataFoundryServiceSettings. | 
| com.google.cloud.aiplatform.v1.DataItem | A piece of data in a Dataset. Could be an image, a video, a document or plain
 text. | 
| com.google.cloud.aiplatform.v1.DataItem.Builder | A piece of data in a Dataset. Could be an image, a video, a document or plain
 text. | 
| com.google.cloud.aiplatform.v1.DataItemName |  | 
| com.google.cloud.aiplatform.v1.DataItemName.Builder | Builder for projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}. | 
| com.google.cloud.aiplatform.v1.DataItemProto |  | 
| com.google.cloud.aiplatform.v1.DataItemView | A container for a single DataItem and Annotations on it. | 
| com.google.cloud.aiplatform.v1.DataItemView.Builder | A container for a single DataItem and Annotations on it. | 
| com.google.cloud.aiplatform.v1.DataLabelingJob | DataLabelingJob is used to trigger a human labeling job on unlabeled data
 from the following Dataset: | 
| com.google.cloud.aiplatform.v1.DataLabelingJob.Builder | DataLabelingJob is used to trigger a human labeling job on unlabeled data
 from the following Dataset: | 
| com.google.cloud.aiplatform.v1.DataLabelingJobName |  | 
| com.google.cloud.aiplatform.v1.DataLabelingJobName.Builder | Builder for projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}. | 
| com.google.cloud.aiplatform.v1.DataLabelingJobProto |  | 
| com.google.cloud.aiplatform.v1.Dataset | A collection of DataItems and Annotations on them. | 
| com.google.cloud.aiplatform.v1.Dataset.Builder | A collection of DataItems and Annotations on them. | 
| com.google.cloud.aiplatform.v1.DatasetName |  | 
| com.google.cloud.aiplatform.v1.DatasetName.Builder | Builder for projects/{project}/locations/{location}/datasets/{dataset}. | 
| com.google.cloud.aiplatform.v1.DatasetProto |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListAnnotationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListAnnotationsPage |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListAnnotationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDataItemsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDataItemsPage |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDataItemsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetVersionsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetVersionsPage |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetVersionsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetsPage |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListSavedQueriesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListSavedQueriesPage |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.ListSavedQueriesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.SearchDataItemsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.SearchDataItemsPage |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceClient.SearchDataItemsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceGrpc | The service that manages Vertex AI Dataset and its child resources. | 
| com.google.cloud.aiplatform.v1.DatasetServiceGrpc.DatasetServiceImplBase | Base class for the server implementation of the service DatasetService.
 The service that manages Vertex AI Dataset and its child resources. | 
| com.google.cloud.aiplatform.v1.DatasetServiceProto |  | 
| com.google.cloud.aiplatform.v1.DatasetServiceSettings.Builder | Builder for DatasetServiceSettings. | 
| com.google.cloud.aiplatform.v1.DatasetVersion | Describes the dataset version. | 
| com.google.cloud.aiplatform.v1.DatasetVersion.Builder | Describes the dataset version. | 
| com.google.cloud.aiplatform.v1.DatasetVersionName |  | 
| com.google.cloud.aiplatform.v1.DatasetVersionName.Builder | Builder for
 projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}. | 
| com.google.cloud.aiplatform.v1.DatasetVersionProto |  | 
| com.google.cloud.aiplatform.v1.DedicatedResources | A description of resources that are dedicated to a DeployedModel, and
 that need a higher degree of manual configuration. | 
| com.google.cloud.aiplatform.v1.DedicatedResources.Builder | A description of resources that are dedicated to a DeployedModel, and
 that need a higher degree of manual configuration. | 
| com.google.cloud.aiplatform.v1.DeleteArtifactRequest | Request message for
 MetadataService.DeleteArtifact. | 
| com.google.cloud.aiplatform.v1.DeleteArtifactRequest.Builder | Request message for
 MetadataService.DeleteArtifact. | 
| com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest | Request message for
 JobService.DeleteBatchPredictionJob. | 
| com.google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest.Builder | Request message for
 JobService.DeleteBatchPredictionJob. | 
| com.google.cloud.aiplatform.v1.DeleteCachedContentRequest | Request message for
 GenAiCacheService.DeleteCachedContent. | 
| com.google.cloud.aiplatform.v1.DeleteCachedContentRequest.Builder | Request message for
 GenAiCacheService.DeleteCachedContent. | 
| com.google.cloud.aiplatform.v1.DeleteContextRequest | Request message for
 MetadataService.DeleteContext. | 
| com.google.cloud.aiplatform.v1.DeleteContextRequest.Builder | Request message for
 MetadataService.DeleteContext. | 
| com.google.cloud.aiplatform.v1.DeleteCustomJobRequest | Request message for
 JobService.DeleteCustomJob. | 
| com.google.cloud.aiplatform.v1.DeleteCustomJobRequest.Builder | Request message for
 JobService.DeleteCustomJob. | 
| com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest | Request message for
 JobService.DeleteDataLabelingJob. | 
| com.google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest.Builder | Request message for
 JobService.DeleteDataLabelingJob. | 
| com.google.cloud.aiplatform.v1.DeleteDatasetRequest | Request message for
 DatasetService.DeleteDataset. | 
| com.google.cloud.aiplatform.v1.DeleteDatasetRequest.Builder | Request message for
 DatasetService.DeleteDataset. | 
| com.google.cloud.aiplatform.v1.DeleteDatasetVersionRequest | Request message for
 DatasetService.DeleteDatasetVersion. | 
| com.google.cloud.aiplatform.v1.DeleteDatasetVersionRequest.Builder | Request message for
 DatasetService.DeleteDatasetVersion. | 
| com.google.cloud.aiplatform.v1.DeleteDeploymentResourcePoolRequest | Request message for DeleteDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.DeleteDeploymentResourcePoolRequest.Builder | Request message for DeleteDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.DeleteEndpointRequest | Request message for
 EndpointService.DeleteEndpoint. | 
| com.google.cloud.aiplatform.v1.DeleteEndpointRequest.Builder | Request message for
 EndpointService.DeleteEndpoint. | 
| com.google.cloud.aiplatform.v1.DeleteEntityTypeRequest | Request message for
 FeaturestoreService.DeleteEntityType. | 
| com.google.cloud.aiplatform.v1.DeleteEntityTypeRequest.Builder | Request message for
 FeaturestoreService.DeleteEntityType. | 
| com.google.cloud.aiplatform.v1.DeleteExecutionRequest | Request message for
 MetadataService.DeleteExecution. | 
| com.google.cloud.aiplatform.v1.DeleteExecutionRequest.Builder | Request message for
 MetadataService.DeleteExecution. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureGroupRequest | Request message for
 FeatureRegistryService.DeleteFeatureGroup. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureGroupRequest.Builder | Request message for
 FeatureRegistryService.DeleteFeatureGroup. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureOnlineStoreRequest | Request message for
 FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureOnlineStoreRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureRequest | Request message for
 FeaturestoreService.DeleteFeature.
 Request message for | 
| com.google.cloud.aiplatform.v1.DeleteFeatureRequest.Builder | Request message for
 FeaturestoreService.DeleteFeature.
 Request message for | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesOperationMetadata | Details of operations that delete Feature values. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesOperationMetadata.Builder | Details of operations that delete Feature values. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesRequest | Request message for
 FeaturestoreService.DeleteFeatureValues. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesRequest.Builder | Request message for
 FeaturestoreService.DeleteFeatureValues. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesRequest.SelectEntity | Message to select entity.
 If an entity id is selected, all the feature values corresponding to the
 entity id will be deleted, including the entityId. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesRequest.SelectEntity.Builder | Message to select entity.
 If an entity id is selected, all the feature values corresponding to the
 entity id will be deleted, including the entityId. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature | Message to select time range and feature.
 Values of the selected feature generated within an inclusive time range
 will be deleted. Using this option permanently deletes the feature values | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature.Builder | Message to select time range and feature.
 Values of the selected feature generated within an inclusive time range
 will be deleted. Using this option permanently deletes the feature values | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesResponse | Response message for
 FeaturestoreService.DeleteFeatureValues. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesResponse.Builder | Response message for
 FeaturestoreService.DeleteFeatureValues. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesResponse.SelectEntity | Response message if the request uses the SelectEntity option. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesResponse.SelectEntity.Builder | Response message if the request uses the SelectEntity option. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature | Response message if the request uses the SelectTimeRangeAndFeature option. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature.Builder | Response message if the request uses the SelectTimeRangeAndFeature option. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureViewRequest | Request message for
 FeatureOnlineStoreAdminService.DeleteFeatureView. | 
| com.google.cloud.aiplatform.v1.DeleteFeatureViewRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.DeleteFeatureView. | 
| com.google.cloud.aiplatform.v1.DeleteFeaturestoreRequest | Request message for
 FeaturestoreService.DeleteFeaturestore. | 
| com.google.cloud.aiplatform.v1.DeleteFeaturestoreRequest.Builder | Request message for
 FeaturestoreService.DeleteFeaturestore. | 
| com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest | Request message for
 JobService.DeleteHyperparameterTuningJob. | 
| com.google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest.Builder | Request message for
 JobService.DeleteHyperparameterTuningJob. | 
| com.google.cloud.aiplatform.v1.DeleteIndexEndpointRequest | Request message for
 IndexEndpointService.DeleteIndexEndpoint. | 
| com.google.cloud.aiplatform.v1.DeleteIndexEndpointRequest.Builder | Request message for
 IndexEndpointService.DeleteIndexEndpoint. | 
| com.google.cloud.aiplatform.v1.DeleteIndexRequest | Request message for
 IndexService.DeleteIndex. | 
| com.google.cloud.aiplatform.v1.DeleteIndexRequest.Builder | Request message for
 IndexService.DeleteIndex. | 
| com.google.cloud.aiplatform.v1.DeleteMetadataStoreOperationMetadata | Details of operations that perform
 MetadataService.DeleteMetadataStore. | 
| com.google.cloud.aiplatform.v1.DeleteMetadataStoreOperationMetadata.Builder | Details of operations that perform
 MetadataService.DeleteMetadataStore. | 
| com.google.cloud.aiplatform.v1.DeleteMetadataStoreRequest | Request message for
 MetadataService.DeleteMetadataStore. | 
| com.google.cloud.aiplatform.v1.DeleteMetadataStoreRequest.Builder | Request message for
 MetadataService.DeleteMetadataStore. | 
| com.google.cloud.aiplatform.v1.DeleteModelDeploymentMonitoringJobRequest | Request message for
 JobService.DeleteModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.DeleteModelDeploymentMonitoringJobRequest.Builder | Request message for
 JobService.DeleteModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.DeleteModelRequest | Request message for
 ModelService.DeleteModel. | 
| com.google.cloud.aiplatform.v1.DeleteModelRequest.Builder | Request message for
 ModelService.DeleteModel. | 
| com.google.cloud.aiplatform.v1.DeleteModelVersionRequest | Request message for
 ModelService.DeleteModelVersion. | 
| com.google.cloud.aiplatform.v1.DeleteModelVersionRequest.Builder | Request message for
 ModelService.DeleteModelVersion. | 
| com.google.cloud.aiplatform.v1.DeleteNasJobRequest | Request message for
 JobService.DeleteNasJob. | 
| com.google.cloud.aiplatform.v1.DeleteNasJobRequest.Builder | Request message for
 JobService.DeleteNasJob. | 
| com.google.cloud.aiplatform.v1.DeleteNotebookExecutionJobRequest | Request message for [NotebookService.DeleteNotebookExecutionJob] | 
| com.google.cloud.aiplatform.v1.DeleteNotebookExecutionJobRequest.Builder | Request message for [NotebookService.DeleteNotebookExecutionJob] | 
| com.google.cloud.aiplatform.v1.DeleteNotebookRuntimeRequest | Request message for
 NotebookService.DeleteNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.DeleteNotebookRuntimeRequest.Builder | Request message for
 NotebookService.DeleteNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.DeleteNotebookRuntimeTemplateRequest | Request message for
 NotebookService.DeleteNotebookRuntimeTemplate. | 
| com.google.cloud.aiplatform.v1.DeleteNotebookRuntimeTemplateRequest.Builder | Request message for
 NotebookService.DeleteNotebookRuntimeTemplate. | 
| com.google.cloud.aiplatform.v1.DeleteOperationMetadata | Details of operations that perform deletes of any entities. | 
| com.google.cloud.aiplatform.v1.DeleteOperationMetadata.Builder | Details of operations that perform deletes of any entities. | 
| com.google.cloud.aiplatform.v1.DeletePersistentResourceRequest | Request message for
 PersistentResourceService.DeletePersistentResource. | 
| com.google.cloud.aiplatform.v1.DeletePersistentResourceRequest.Builder | Request message for
 PersistentResourceService.DeletePersistentResource. | 
| com.google.cloud.aiplatform.v1.DeletePipelineJobRequest | Request message for
 PipelineService.DeletePipelineJob. | 
| com.google.cloud.aiplatform.v1.DeletePipelineJobRequest.Builder | Request message for
 PipelineService.DeletePipelineJob. | 
| com.google.cloud.aiplatform.v1.DeleteRagCorpusRequest | Request message for
 VertexRagDataService.DeleteRagCorpus. | 
| com.google.cloud.aiplatform.v1.DeleteRagCorpusRequest.Builder | Request message for
 VertexRagDataService.DeleteRagCorpus. | 
| com.google.cloud.aiplatform.v1.DeleteRagFileRequest | Request message for
 VertexRagDataService.DeleteRagFile. | 
| com.google.cloud.aiplatform.v1.DeleteRagFileRequest.Builder | Request message for
 VertexRagDataService.DeleteRagFile. | 
| com.google.cloud.aiplatform.v1.DeleteReasoningEngineRequest | Request message for
 ReasoningEngineService.DeleteReasoningEngine. | 
| com.google.cloud.aiplatform.v1.DeleteReasoningEngineRequest.Builder | Request message for
 ReasoningEngineService.DeleteReasoningEngine. | 
| com.google.cloud.aiplatform.v1.DeleteSavedQueryRequest | Request message for
 DatasetService.DeleteSavedQuery. | 
| com.google.cloud.aiplatform.v1.DeleteSavedQueryRequest.Builder | Request message for
 DatasetService.DeleteSavedQuery. | 
| com.google.cloud.aiplatform.v1.DeleteScheduleRequest | Request message for
 ScheduleService.DeleteSchedule. | 
| com.google.cloud.aiplatform.v1.DeleteScheduleRequest.Builder | Request message for
 ScheduleService.DeleteSchedule. | 
| com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest | Request message for
 SpecialistPoolService.DeleteSpecialistPool. | 
| com.google.cloud.aiplatform.v1.DeleteSpecialistPoolRequest.Builder | Request message for
 SpecialistPoolService.DeleteSpecialistPool. | 
| com.google.cloud.aiplatform.v1.DeleteStudyRequest | Request message for
 VizierService.DeleteStudy. | 
| com.google.cloud.aiplatform.v1.DeleteStudyRequest.Builder | Request message for
 VizierService.DeleteStudy. | 
| com.google.cloud.aiplatform.v1.DeleteTensorboardExperimentRequest | Request message for
 TensorboardService.DeleteTensorboardExperiment. | 
| com.google.cloud.aiplatform.v1.DeleteTensorboardExperimentRequest.Builder | Request message for
 TensorboardService.DeleteTensorboardExperiment. | 
| com.google.cloud.aiplatform.v1.DeleteTensorboardRequest | Request message for
 TensorboardService.DeleteTensorboard. | 
| com.google.cloud.aiplatform.v1.DeleteTensorboardRequest.Builder | Request message for
 TensorboardService.DeleteTensorboard. | 
| com.google.cloud.aiplatform.v1.DeleteTensorboardRunRequest | Request message for
 TensorboardService.DeleteTensorboardRun. | 
| com.google.cloud.aiplatform.v1.DeleteTensorboardRunRequest.Builder | Request message for
 TensorboardService.DeleteTensorboardRun. | 
| com.google.cloud.aiplatform.v1.DeleteTensorboardTimeSeriesRequest | Request message for
 TensorboardService.DeleteTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.DeleteTensorboardTimeSeriesRequest.Builder | Request message for
 TensorboardService.DeleteTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest | Request message for
 PipelineService.DeleteTrainingPipeline. | 
| com.google.cloud.aiplatform.v1.DeleteTrainingPipelineRequest.Builder | Request message for
 PipelineService.DeleteTrainingPipeline. | 
| com.google.cloud.aiplatform.v1.DeleteTrialRequest | Request message for
 VizierService.DeleteTrial. | 
| com.google.cloud.aiplatform.v1.DeleteTrialRequest.Builder | Request message for
 VizierService.DeleteTrial. | 
| com.google.cloud.aiplatform.v1.DeployIndexOperationMetadata | Runtime operation information for
 IndexEndpointService.DeployIndex. | 
| com.google.cloud.aiplatform.v1.DeployIndexOperationMetadata.Builder | Runtime operation information for
 IndexEndpointService.DeployIndex. | 
| com.google.cloud.aiplatform.v1.DeployIndexRequest | Request message for
 IndexEndpointService.DeployIndex. | 
| com.google.cloud.aiplatform.v1.DeployIndexRequest.Builder | Request message for
 IndexEndpointService.DeployIndex. | 
| com.google.cloud.aiplatform.v1.DeployIndexResponse | Response message for
 IndexEndpointService.DeployIndex. | 
| com.google.cloud.aiplatform.v1.DeployIndexResponse.Builder | Response message for
 IndexEndpointService.DeployIndex. | 
| com.google.cloud.aiplatform.v1.DeployModelOperationMetadata | Runtime operation information for
 EndpointService.DeployModel. | 
| com.google.cloud.aiplatform.v1.DeployModelOperationMetadata.Builder | Runtime operation information for
 EndpointService.DeployModel. | 
| com.google.cloud.aiplatform.v1.DeployModelRequest | Request message for
 EndpointService.DeployModel. | 
| com.google.cloud.aiplatform.v1.DeployModelRequest.Builder | Request message for
 EndpointService.DeployModel. | 
| com.google.cloud.aiplatform.v1.DeployModelResponse | Response message for
 EndpointService.DeployModel. | 
| com.google.cloud.aiplatform.v1.DeployModelResponse.Builder | Response message for
 EndpointService.DeployModel. | 
| com.google.cloud.aiplatform.v1.DeployOperationMetadata | Runtime operation information for
 ModelGardenService.Deploy. | 
| com.google.cloud.aiplatform.v1.DeployOperationMetadata.Builder | Runtime operation information for
 ModelGardenService.Deploy. | 
| com.google.cloud.aiplatform.v1.DeployRequest | Request message for
 ModelGardenService.Deploy. | 
| com.google.cloud.aiplatform.v1.DeployRequest.Builder | Request message for
 ModelGardenService.Deploy. | 
| com.google.cloud.aiplatform.v1.DeployRequest.DeployConfig | The deploy config to use for the deployment. | 
| com.google.cloud.aiplatform.v1.DeployRequest.DeployConfig.Builder | The deploy config to use for the deployment. | 
| com.google.cloud.aiplatform.v1.DeployRequest.EndpointConfig | The endpoint config to use for the deployment. | 
| com.google.cloud.aiplatform.v1.DeployRequest.EndpointConfig.Builder | The endpoint config to use for the deployment. | 
| com.google.cloud.aiplatform.v1.DeployRequest.ModelConfig | The model config to use for the deployment. | 
| com.google.cloud.aiplatform.v1.DeployRequest.ModelConfig.Builder | The model config to use for the deployment. | 
| com.google.cloud.aiplatform.v1.DeployResponse | Response message for
 ModelGardenService.Deploy. | 
| com.google.cloud.aiplatform.v1.DeployResponse.Builder | Response message for
 ModelGardenService.Deploy. | 
| com.google.cloud.aiplatform.v1.DeployedIndex | A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes. | 
| com.google.cloud.aiplatform.v1.DeployedIndex.Builder | A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes. | 
| com.google.cloud.aiplatform.v1.DeployedIndexAuthConfig | Used to set up the auth on the DeployedIndex's private endpoint. | 
| com.google.cloud.aiplatform.v1.DeployedIndexAuthConfig.AuthProvider | Configuration for an authentication provider, including support for
 JSON Web Token
 (JWT). | 
| com.google.cloud.aiplatform.v1.DeployedIndexAuthConfig.AuthProvider.Builder | Configuration for an authentication provider, including support for
 JSON Web Token
 (JWT). | 
| com.google.cloud.aiplatform.v1.DeployedIndexAuthConfig.Builder | Used to set up the auth on the DeployedIndex's private endpoint. | 
| com.google.cloud.aiplatform.v1.DeployedIndexRef | Points to a DeployedIndex. | 
| com.google.cloud.aiplatform.v1.DeployedIndexRef.Builder | Points to a DeployedIndex. | 
| com.google.cloud.aiplatform.v1.DeployedIndexRefProto |  | 
| com.google.cloud.aiplatform.v1.DeployedModel | A deployment of a Model. Endpoints contain one or more DeployedModels. | 
| com.google.cloud.aiplatform.v1.DeployedModel.Builder | A deployment of a Model. Endpoints contain one or more DeployedModels. | 
| com.google.cloud.aiplatform.v1.DeployedModel.Status | Runtime status of the deployed model. | 
| com.google.cloud.aiplatform.v1.DeployedModel.Status.Builder | Runtime status of the deployed model. | 
| com.google.cloud.aiplatform.v1.DeployedModelNameProto |  | 
| com.google.cloud.aiplatform.v1.DeployedModelRef | Points to a DeployedModel. | 
| com.google.cloud.aiplatform.v1.DeployedModelRef.Builder | Points to a DeployedModel. | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePool | A description of resources that can be shared by multiple DeployedModels,
 whose underlying specification consists of a DedicatedResources. | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePool.Builder | A description of resources that can be shared by multiple DeployedModels,
 whose underlying specification consists of a DedicatedResources. | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolName |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolName.Builder | Builder for
 projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}. | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolProto |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceClient.ListDeploymentResourcePoolsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceClient.ListDeploymentResourcePoolsPage |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceClient.ListDeploymentResourcePoolsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceClient.QueryDeployedModelsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceClient.QueryDeployedModelsPage |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceClient.QueryDeployedModelsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceGrpc | A service that manages the DeploymentResourcePool resource. | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceGrpc.DeploymentResourcePoolServiceImplBase | Base class for the server implementation of the service DeploymentResourcePoolService.
 A service that manages the DeploymentResourcePool resource. | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceProto |  | 
| com.google.cloud.aiplatform.v1.DeploymentResourcePoolServiceSettings.Builder | Builder for DeploymentResourcePoolServiceSettings. | 
| com.google.cloud.aiplatform.v1.DeploymentStageProto |  | 
| com.google.cloud.aiplatform.v1.DestinationFeatureSetting | Protobuf type google.cloud.aiplatform.v1.DestinationFeatureSetting | 
| com.google.cloud.aiplatform.v1.DestinationFeatureSetting.Builder | Protobuf type google.cloud.aiplatform.v1.DestinationFeatureSetting | 
| com.google.cloud.aiplatform.v1.DirectPredictRequest | Request message for
 PredictionService.DirectPredict. | 
| com.google.cloud.aiplatform.v1.DirectPredictRequest.Builder | Request message for
 PredictionService.DirectPredict. | 
| com.google.cloud.aiplatform.v1.DirectPredictResponse | Response message for
 PredictionService.DirectPredict. | 
| com.google.cloud.aiplatform.v1.DirectPredictResponse.Builder | Response message for
 PredictionService.DirectPredict. | 
| com.google.cloud.aiplatform.v1.DirectRawPredictRequest | Request message for
 PredictionService.DirectRawPredict. | 
| com.google.cloud.aiplatform.v1.DirectRawPredictRequest.Builder | Request message for
 PredictionService.DirectRawPredict. | 
| com.google.cloud.aiplatform.v1.DirectRawPredictResponse | Response message for
 PredictionService.DirectRawPredict. | 
| com.google.cloud.aiplatform.v1.DirectRawPredictResponse.Builder | Response message for
 PredictionService.DirectRawPredict. | 
| com.google.cloud.aiplatform.v1.DirectUploadSource | The input content is encapsulated and uploaded in the request. | 
| com.google.cloud.aiplatform.v1.DirectUploadSource.Builder | The input content is encapsulated and uploaded in the request. | 
| com.google.cloud.aiplatform.v1.DiskSpec | Represents the spec of disk options. | 
| com.google.cloud.aiplatform.v1.DiskSpec.Builder | Represents the spec of disk options. | 
| com.google.cloud.aiplatform.v1.DnsPeeringConfig | DNS peering configuration. These configurations are used to create
 DNS peering zones in the Vertex tenant project VPC, enabling resolution
 of records within the specified domain hosted in the target network's | 
| com.google.cloud.aiplatform.v1.DnsPeeringConfig.Builder | DNS peering configuration. These configurations are used to create
 DNS peering zones in the Vertex tenant project VPC, enabling resolution
 of records within the specified domain hosted in the target network's | 
| com.google.cloud.aiplatform.v1.DoubleArray | A list of double values. | 
| com.google.cloud.aiplatform.v1.DoubleArray.Builder | A list of double values. | 
| com.google.cloud.aiplatform.v1.DynamicRetrievalConfig | Describes the options to customize dynamic retrieval. | 
| com.google.cloud.aiplatform.v1.DynamicRetrievalConfig.Builder | Describes the options to customize dynamic retrieval. | 
| com.google.cloud.aiplatform.v1.EncryptionSpec | Represents a customer-managed encryption key spec that can be applied to
 a top-level resource. | 
| com.google.cloud.aiplatform.v1.EncryptionSpec.Builder | Represents a customer-managed encryption key spec that can be applied to
 a top-level resource. | 
| com.google.cloud.aiplatform.v1.EncryptionSpecProto |  | 
| com.google.cloud.aiplatform.v1.Endpoint | Models are deployed into it, and afterwards Endpoint is called to obtain
 predictions and explanations. | 
| com.google.cloud.aiplatform.v1.Endpoint.Builder | Models are deployed into it, and afterwards Endpoint is called to obtain
 predictions and explanations. | 
| com.google.cloud.aiplatform.v1.EndpointName |  | 
| com.google.cloud.aiplatform.v1.EndpointName.Builder | Builder for projects/{project}/locations/{location}/endpoints/{endpoint}. | 
| com.google.cloud.aiplatform.v1.EndpointName.ProjectLocationPublisherModelBuilder | Builder for projects/{project}/locations/{location}/publishers/{publisher}/models/{model}. | 
| com.google.cloud.aiplatform.v1.EndpointProto |  | 
| com.google.cloud.aiplatform.v1.EndpointServiceClient.ListEndpointsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.EndpointServiceClient.ListEndpointsPage |  | 
| com.google.cloud.aiplatform.v1.EndpointServiceClient.ListEndpointsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.EndpointServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.EndpointServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.EndpointServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.EndpointServiceGrpc | A service for managing Vertex AI's Endpoints. | 
| com.google.cloud.aiplatform.v1.EndpointServiceGrpc.EndpointServiceImplBase | Base class for the server implementation of the service EndpointService.
 A service for managing Vertex AI's Endpoints. | 
| com.google.cloud.aiplatform.v1.EndpointServiceProto |  | 
| com.google.cloud.aiplatform.v1.EndpointServiceSettings.Builder | Builder for EndpointServiceSettings. | 
| com.google.cloud.aiplatform.v1.EnterpriseWebSearch | Tool to search public web data, powered by Vertex AI Search and Sec4
 compliance. | 
| com.google.cloud.aiplatform.v1.EnterpriseWebSearch.Builder | Tool to search public web data, powered by Vertex AI Search and Sec4
 compliance. | 
| com.google.cloud.aiplatform.v1.EntityIdSelector | Selector for entityId. Getting ids from the given source. | 
| com.google.cloud.aiplatform.v1.EntityIdSelector.Builder | Selector for entityId. Getting ids from the given source. | 
| com.google.cloud.aiplatform.v1.EntityType | An entity type is a type of object in a system that needs to be modeled and
 have stored information about. For example, driver is an entity type, and
 driver0 is an instance of an entity type driver. | 
| com.google.cloud.aiplatform.v1.EntityType.Builder | An entity type is a type of object in a system that needs to be modeled and
 have stored information about. For example, driver is an entity type, and
 driver0 is an instance of an entity type driver. | 
| com.google.cloud.aiplatform.v1.EntityTypeName |  | 
| com.google.cloud.aiplatform.v1.EntityTypeName.Builder | Builder for
 projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}. | 
| com.google.cloud.aiplatform.v1.EntityTypeProto |  | 
| com.google.cloud.aiplatform.v1.EnvVar | Represents an environment variable present in a Container or Python Module. | 
| com.google.cloud.aiplatform.v1.EnvVar.Builder | Represents an environment variable present in a Container or Python Module. | 
| com.google.cloud.aiplatform.v1.EnvVarProto |  | 
| com.google.cloud.aiplatform.v1.ErrorAnalysisAnnotation | Model error analysis for each annotation. | 
| com.google.cloud.aiplatform.v1.ErrorAnalysisAnnotation.AttributedItem | Attributed items for a given annotation, typically representing neighbors
 from the training sets constrained by the query type. | 
| com.google.cloud.aiplatform.v1.ErrorAnalysisAnnotation.AttributedItem.Builder | Attributed items for a given annotation, typically representing neighbors
 from the training sets constrained by the query type. | 
| com.google.cloud.aiplatform.v1.ErrorAnalysisAnnotation.Builder | Model error analysis for each annotation. | 
| com.google.cloud.aiplatform.v1.EvaluateInstancesRequest | Request message for EvaluationService.EvaluateInstances. | 
| com.google.cloud.aiplatform.v1.EvaluateInstancesRequest.Builder | Request message for EvaluationService.EvaluateInstances. | 
| com.google.cloud.aiplatform.v1.EvaluateInstancesResponse | Response message for EvaluationService.EvaluateInstances. | 
| com.google.cloud.aiplatform.v1.EvaluateInstancesResponse.Builder | Response message for EvaluationService.EvaluateInstances. | 
| com.google.cloud.aiplatform.v1.EvaluatedAnnotation | True positive, false positive, or false negative.
 EvaluatedAnnotation is only available under ModelEvaluationSlice with slice | 
| com.google.cloud.aiplatform.v1.EvaluatedAnnotation.Builder | True positive, false positive, or false negative.
 EvaluatedAnnotation is only available under ModelEvaluationSlice with slice | 
| com.google.cloud.aiplatform.v1.EvaluatedAnnotationExplanation | Explanation result of the prediction produced by the Model. | 
| com.google.cloud.aiplatform.v1.EvaluatedAnnotationExplanation.Builder | Explanation result of the prediction produced by the Model. | 
| com.google.cloud.aiplatform.v1.EvaluatedAnnotationProto |  | 
| com.google.cloud.aiplatform.v1.EvaluationServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.EvaluationServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.EvaluationServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.EvaluationServiceGrpc | Vertex AI Online Evaluation Service. | 
| com.google.cloud.aiplatform.v1.EvaluationServiceGrpc.EvaluationServiceImplBase | Base class for the server implementation of the service EvaluationService.
 Vertex AI Online Evaluation Service. | 
| com.google.cloud.aiplatform.v1.EvaluationServiceProto |  | 
| com.google.cloud.aiplatform.v1.EvaluationServiceSettings.Builder | Builder for EvaluationServiceSettings. | 
| com.google.cloud.aiplatform.v1.Event | An edge describing the relationship between an Artifact and an Execution in
 a lineage graph. | 
| com.google.cloud.aiplatform.v1.Event.Builder | An edge describing the relationship between an Artifact and an Execution in
 a lineage graph. | 
| com.google.cloud.aiplatform.v1.EventProto |  | 
| com.google.cloud.aiplatform.v1.ExactMatchInput | Input for exact match metric. | 
| com.google.cloud.aiplatform.v1.ExactMatchInput.Builder | Input for exact match metric. | 
| com.google.cloud.aiplatform.v1.ExactMatchInstance | Spec for exact match instance. | 
| com.google.cloud.aiplatform.v1.ExactMatchInstance.Builder | Spec for exact match instance. | 
| com.google.cloud.aiplatform.v1.ExactMatchMetricValue | Exact match metric value for an instance. | 
| com.google.cloud.aiplatform.v1.ExactMatchMetricValue.Builder | Exact match metric value for an instance. | 
| com.google.cloud.aiplatform.v1.ExactMatchResults | Results for exact match metric. | 
| com.google.cloud.aiplatform.v1.ExactMatchResults.Builder | Results for exact match metric. | 
| com.google.cloud.aiplatform.v1.ExactMatchSpec | Spec for exact match metric - returns 1 if prediction and reference exactly
 matches, otherwise 0. | 
| com.google.cloud.aiplatform.v1.ExactMatchSpec.Builder | Spec for exact match metric - returns 1 if prediction and reference exactly
 matches, otherwise 0. | 
| com.google.cloud.aiplatform.v1.Examples | Example-based explainability that returns the nearest neighbors from the
 provided dataset. | 
| com.google.cloud.aiplatform.v1.Examples.Builder | Example-based explainability that returns the nearest neighbors from the
 provided dataset. | 
| com.google.cloud.aiplatform.v1.Examples.ExampleGcsSource | The Cloud Storage input instances. | 
| com.google.cloud.aiplatform.v1.Examples.ExampleGcsSource.Builder | The Cloud Storage input instances. | 
| com.google.cloud.aiplatform.v1.ExamplesOverride | Overrides for example-based explanations. | 
| com.google.cloud.aiplatform.v1.ExamplesOverride.Builder | Overrides for example-based explanations. | 
| com.google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace | Restrictions namespace for example-based explanations overrides. | 
| com.google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.Builder | Restrictions namespace for example-based explanations overrides. | 
| com.google.cloud.aiplatform.v1.ExecutableCode | Code generated by the model that is meant to be executed, and the result
 returned to the model. | 
| com.google.cloud.aiplatform.v1.ExecutableCode.Builder | Code generated by the model that is meant to be executed, and the result
 returned to the model. | 
| com.google.cloud.aiplatform.v1.Execution | Instance of a general execution. | 
| com.google.cloud.aiplatform.v1.Execution.Builder | Instance of a general execution. | 
| com.google.cloud.aiplatform.v1.ExecutionName |  | 
| com.google.cloud.aiplatform.v1.ExecutionName.Builder | Builder for
 projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}. | 
| com.google.cloud.aiplatform.v1.ExecutionProto |  | 
| com.google.cloud.aiplatform.v1.ExplainRequest | Request message for
 PredictionService.Explain. | 
| com.google.cloud.aiplatform.v1.ExplainRequest.Builder | Request message for
 PredictionService.Explain. | 
| com.google.cloud.aiplatform.v1.ExplainResponse | Response message for
 PredictionService.Explain. | 
| com.google.cloud.aiplatform.v1.ExplainResponse.Builder | Response message for
 PredictionService.Explain. | 
| com.google.cloud.aiplatform.v1.Explanation | Explanation of a prediction (provided in
 PredictResponse.predictions)
 produced by the Model on a given | 
| com.google.cloud.aiplatform.v1.Explanation.Builder | Explanation of a prediction (provided in
 PredictResponse.predictions)
 produced by the Model on a given | 
| com.google.cloud.aiplatform.v1.ExplanationMetadata | Metadata describing the Model's input and output for explanation. | 
| com.google.cloud.aiplatform.v1.ExplanationMetadata.Builder | Metadata describing the Model's input and output for explanation. | 
| com.google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata | Metadata of the input of a feature.
 Fields other than | 
| com.google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.Builder | Metadata of the input of a feature.
 Fields other than | 
| com.google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.FeatureValueDomain | Domain details of the input feature value. Provides numeric information
 about the feature, such as its range (min, max). If the feature has been
 pre-processed, for example with z-scoring, then it provides information | 
| com.google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder | Domain details of the input feature value. Provides numeric information
 about the feature, such as its range (min, max). If the feature has been
 pre-processed, for example with z-scoring, then it provides information | 
| com.google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.Visualization | Visualization configurations for image explanation. | 
| com.google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.Visualization.Builder | Visualization configurations for image explanation. | 
| com.google.cloud.aiplatform.v1.ExplanationMetadata.OutputMetadata | Metadata of the prediction output to be explained. | 
| com.google.cloud.aiplatform.v1.ExplanationMetadata.OutputMetadata.Builder | Metadata of the prediction output to be explained. | 
| com.google.cloud.aiplatform.v1.ExplanationMetadataOverride | The ExplanationMetadata
 entries that can be overridden at online
 explanation time. | 
| com.google.cloud.aiplatform.v1.ExplanationMetadataOverride.Builder | The ExplanationMetadata
 entries that can be overridden at online
 explanation time. | 
| com.google.cloud.aiplatform.v1.ExplanationMetadataOverride.InputMetadataOverride | The input
 metadata
 entries to be overridden. | 
| com.google.cloud.aiplatform.v1.ExplanationMetadataOverride.InputMetadataOverride.Builder | The input
 metadata
 entries to be overridden. | 
| com.google.cloud.aiplatform.v1.ExplanationMetadataProto |  | 
| com.google.cloud.aiplatform.v1.ExplanationParameters | Parameters to configure explaining for Model's predictions. | 
| com.google.cloud.aiplatform.v1.ExplanationParameters.Builder | Parameters to configure explaining for Model's predictions. | 
| com.google.cloud.aiplatform.v1.ExplanationProto |  | 
| com.google.cloud.aiplatform.v1.ExplanationSpec | Specification of Model explanation. | 
| com.google.cloud.aiplatform.v1.ExplanationSpec.Builder | Specification of Model explanation. | 
| com.google.cloud.aiplatform.v1.ExplanationSpecOverride | The ExplanationSpec entries
 that can be overridden at online
 explanation time. | 
| com.google.cloud.aiplatform.v1.ExplanationSpecOverride.Builder | The ExplanationSpec entries
 that can be overridden at online
 explanation time. | 
| com.google.cloud.aiplatform.v1.ExportDataConfig | Describes what part of the Dataset is to be exported, the destination of
 the export and how to export. | 
| com.google.cloud.aiplatform.v1.ExportDataConfig.Builder | Describes what part of the Dataset is to be exported, the destination of
 the export and how to export. | 
| com.google.cloud.aiplatform.v1.ExportDataOperationMetadata | Runtime operation information for
 DatasetService.ExportData. | 
| com.google.cloud.aiplatform.v1.ExportDataOperationMetadata.Builder | Runtime operation information for
 DatasetService.ExportData. | 
| com.google.cloud.aiplatform.v1.ExportDataRequest | Request message for
 DatasetService.ExportData. | 
| com.google.cloud.aiplatform.v1.ExportDataRequest.Builder | Request message for
 DatasetService.ExportData. | 
| com.google.cloud.aiplatform.v1.ExportDataResponse | Response message for
 DatasetService.ExportData. | 
| com.google.cloud.aiplatform.v1.ExportDataResponse.Builder | Response message for
 DatasetService.ExportData. | 
| com.google.cloud.aiplatform.v1.ExportFeatureValuesOperationMetadata | Details of operations that exports Features values. | 
| com.google.cloud.aiplatform.v1.ExportFeatureValuesOperationMetadata.Builder | Details of operations that exports Features values. | 
| com.google.cloud.aiplatform.v1.ExportFeatureValuesRequest | Request message for
 FeaturestoreService.ExportFeatureValues. | 
| com.google.cloud.aiplatform.v1.ExportFeatureValuesRequest.Builder | Request message for
 FeaturestoreService.ExportFeatureValues. | 
| com.google.cloud.aiplatform.v1.ExportFeatureValuesRequest.FullExport | Describes exporting all historical Feature values of all entities of the
 EntityType between [start_time, end_time]. | 
| com.google.cloud.aiplatform.v1.ExportFeatureValuesRequest.FullExport.Builder | Describes exporting all historical Feature values of all entities of the
 EntityType between [start_time, end_time]. | 
| com.google.cloud.aiplatform.v1.ExportFeatureValuesRequest.SnapshotExport | Describes exporting the latest Feature values of all entities of the
 EntityType between [start_time, snapshot_time]. | 
| com.google.cloud.aiplatform.v1.ExportFeatureValuesRequest.SnapshotExport.Builder | Describes exporting the latest Feature values of all entities of the
 EntityType between [start_time, snapshot_time]. | 
| com.google.cloud.aiplatform.v1.ExportFeatureValuesResponse | Response message for
 FeaturestoreService.ExportFeatureValues. | 
| com.google.cloud.aiplatform.v1.ExportFeatureValuesResponse.Builder | Response message for
 FeaturestoreService.ExportFeatureValues. | 
| com.google.cloud.aiplatform.v1.ExportFilterSplit | Assigns input data to training, validation, and test sets based on the given
 filters, data pieces not matched by any filter are ignored. Currently only
 supported for Datasets containing DataItems. | 
| com.google.cloud.aiplatform.v1.ExportFilterSplit.Builder | Assigns input data to training, validation, and test sets based on the given
 filters, data pieces not matched by any filter are ignored. Currently only
 supported for Datasets containing DataItems. | 
| com.google.cloud.aiplatform.v1.ExportFractionSplit | Assigns the input data to training, validation, and test sets as per the
 given fractions. Any of training_fraction,validation_fractionandtest_fractionmay optionally be provided, they must sum to up to 1. If the | 
| com.google.cloud.aiplatform.v1.ExportFractionSplit.Builder | Assigns the input data to training, validation, and test sets as per the
 given fractions. Any of training_fraction,validation_fractionandtest_fractionmay optionally be provided, they must sum to up to 1. If the | 
| com.google.cloud.aiplatform.v1.ExportModelOperationMetadata | Details of
 ModelService.ExportModel
 operation. | 
| com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.Builder | Details of
 ModelService.ExportModel
 operation. | 
| com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo | Further describes the output of the ExportModel. Supplements
 ExportModelRequest.OutputConfig. | 
| com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo.Builder | Further describes the output of the ExportModel. Supplements
 ExportModelRequest.OutputConfig. | 
| com.google.cloud.aiplatform.v1.ExportModelRequest | Request message for
 ModelService.ExportModel. | 
| com.google.cloud.aiplatform.v1.ExportModelRequest.Builder | Request message for
 ModelService.ExportModel. | 
| com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig | Output configuration for the Model export. | 
| com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.Builder | Output configuration for the Model export. | 
| com.google.cloud.aiplatform.v1.ExportModelResponse | Response message of
 ModelService.ExportModel
 operation. | 
| com.google.cloud.aiplatform.v1.ExportModelResponse.Builder | Response message of
 ModelService.ExportModel
 operation. | 
| com.google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataRequest | Request message for
 TensorboardService.ExportTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataRequest.Builder | Request message for
 TensorboardService.ExportTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataResponse | Response message for
 TensorboardService.ExportTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataResponse.Builder | Response message for
 TensorboardService.ExportTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.Fact | The fact used in grounding. | 
| com.google.cloud.aiplatform.v1.Fact.Builder | The fact used in grounding. | 
| com.google.cloud.aiplatform.v1.FasterDeploymentConfig | Configuration for faster model deployment. | 
| com.google.cloud.aiplatform.v1.FasterDeploymentConfig.Builder | Configuration for faster model deployment. | 
| com.google.cloud.aiplatform.v1.Feature | Feature Metadata information.
 For example, color is a feature that describes an apple. | 
| com.google.cloud.aiplatform.v1.Feature.Builder | Feature Metadata information.
 For example, color is a feature that describes an apple. | 
| com.google.cloud.aiplatform.v1.Feature.MonitoringStatsAnomaly | A list of historical
 SnapshotAnalysis
 or | 
| com.google.cloud.aiplatform.v1.Feature.MonitoringStatsAnomaly.Builder | A list of historical
 SnapshotAnalysis
 or | 
| com.google.cloud.aiplatform.v1.FeatureGroup | Vertex AI Feature Group. | 
| com.google.cloud.aiplatform.v1.FeatureGroup.BigQuery | Input source type for BigQuery Tables and Views. | 
| com.google.cloud.aiplatform.v1.FeatureGroup.BigQuery.Builder | Input source type for BigQuery Tables and Views. | 
| com.google.cloud.aiplatform.v1.FeatureGroup.BigQuery.TimeSeries | Protobuf type google.cloud.aiplatform.v1.FeatureGroup.BigQuery.TimeSeries | 
| com.google.cloud.aiplatform.v1.FeatureGroup.BigQuery.TimeSeries.Builder | Protobuf type google.cloud.aiplatform.v1.FeatureGroup.BigQuery.TimeSeries | 
| com.google.cloud.aiplatform.v1.FeatureGroup.Builder | Vertex AI Feature Group. | 
| com.google.cloud.aiplatform.v1.FeatureGroupName |  | 
| com.google.cloud.aiplatform.v1.FeatureGroupName.Builder | Builder for projects/{project}/locations/{location}/featureGroups/{feature_group}. | 
| com.google.cloud.aiplatform.v1.FeatureGroupProto |  | 
| com.google.cloud.aiplatform.v1.FeatureMonitoringStatsProto |  | 
| com.google.cloud.aiplatform.v1.FeatureName |  | 
| com.google.cloud.aiplatform.v1.FeatureName.Builder | Builder for
 projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}. | 
| com.google.cloud.aiplatform.v1.FeatureName.ProjectLocationFeatureGroupFeatureBuilder | Builder for
 projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}. | 
| com.google.cloud.aiplatform.v1.FeatureNoiseSigma | Noise sigma by features. Noise sigma represents the standard deviation of the
 gaussian kernel that will be used to add noise to interpolated inputs prior
 to computing gradients. | 
| com.google.cloud.aiplatform.v1.FeatureNoiseSigma.Builder | Noise sigma by features. Noise sigma represents the standard deviation of the
 gaussian kernel that will be used to add noise to interpolated inputs prior
 to computing gradients. | 
| com.google.cloud.aiplatform.v1.FeatureNoiseSigma.NoiseSigmaForFeature | Noise sigma for a single feature. | 
| com.google.cloud.aiplatform.v1.FeatureNoiseSigma.NoiseSigmaForFeature.Builder | Noise sigma for a single feature. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore | Vertex AI Feature Online Store provides a centralized repository for serving
 ML features and embedding indexes at low latency. The Feature Online Store is
 a top-level container. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable | Protobuf type google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable.AutoScaling | Protobuf type google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable.AutoScaling | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable.AutoScaling.Builder | Protobuf type google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable.AutoScaling | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable.BigtableMetadata | Metadata of the Bigtable instance. This is used by direct read access to
 the Bigtable in tenant project. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable.BigtableMetadata.Builder | Metadata of the Bigtable instance. This is used by direct read access to
 the Bigtable in tenant project. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable.Builder | Protobuf type google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.Builder | Vertex AI Feature Online Store provides a centralized repository for serving
 ML features and embedding indexes at low latency. The Feature Online Store is
 a top-level container. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.DedicatedServingEndpoint | The dedicated serving endpoint for this FeatureOnlineStore. Only need to
 set when you choose Optimized storage type. Public endpoint is provisioned
 by default. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.DedicatedServingEndpoint.Builder | The dedicated serving endpoint for this FeatureOnlineStore. Only need to
 set when you choose Optimized storage type. Public endpoint is provisioned
 by default. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.Optimized | Optimized storage type | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStore.Optimized.Builder | Optimized storage type | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListFeatureOnlineStoresFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListFeatureOnlineStoresPage |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListFeatureOnlineStoresPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewSyncsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewSyncsPage |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewSyncsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewsPage |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceGrpc | The service that handles CRUD and List for resources for
 FeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceGrpc.FeatureOnlineStoreAdminServiceImplBase | Base class for the server implementation of the service FeatureOnlineStoreAdminService.
 The service that handles CRUD and List for resources for | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceProto |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreAdminServiceSettings.Builder | Builder for FeatureOnlineStoreAdminServiceSettings. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreName |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreName.Builder | Builder for projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreProto |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreServiceGrpc | A service for fetching feature values from the online store. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreServiceGrpc.FeatureOnlineStoreServiceImplBase | Base class for the server implementation of the service FeatureOnlineStoreService.
 A service for fetching feature values from the online store. | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreServiceProto |  | 
| com.google.cloud.aiplatform.v1.FeatureOnlineStoreServiceSettings.Builder | Builder for FeatureOnlineStoreServiceSettings. | 
| com.google.cloud.aiplatform.v1.FeatureProto |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceClient.ListFeatureGroupsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceClient.ListFeatureGroupsPage |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceClient.ListFeatureGroupsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceClient.ListFeaturesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceClient.ListFeaturesPage |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceClient.ListFeaturesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceGrpc | The service that handles CRUD and List for resources for
 FeatureRegistry. | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceGrpc.FeatureRegistryServiceImplBase | Base class for the server implementation of the service FeatureRegistryService.
 The service that handles CRUD and List for resources for | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceProto |  | 
| com.google.cloud.aiplatform.v1.FeatureRegistryServiceSettings.Builder | Builder for FeatureRegistryServiceSettings. | 
| com.google.cloud.aiplatform.v1.FeatureSelector | Selector for Features of an EntityType. | 
| com.google.cloud.aiplatform.v1.FeatureSelector.Builder | Selector for Features of an EntityType. | 
| com.google.cloud.aiplatform.v1.FeatureSelectorProto |  | 
| com.google.cloud.aiplatform.v1.FeatureStatsAnomaly | Stats and Anomaly generated at specific timestamp for specific Feature.
 The start_time and end_time are used to define the time range of the dataset
 that current stats belongs to, e.g. prediction traffic is bucketed into | 
| com.google.cloud.aiplatform.v1.FeatureStatsAnomaly.Builder | Stats and Anomaly generated at specific timestamp for specific Feature.
 The start_time and end_time are used to define the time range of the dataset
 that current stats belongs to, e.g. prediction traffic is bucketed into | 
| com.google.cloud.aiplatform.v1.FeatureValue | Value for a feature. | 
| com.google.cloud.aiplatform.v1.FeatureValue.Builder | Value for a feature. | 
| com.google.cloud.aiplatform.v1.FeatureValue.Metadata | Metadata of feature value. | 
| com.google.cloud.aiplatform.v1.FeatureValue.Metadata.Builder | Metadata of feature value. | 
| com.google.cloud.aiplatform.v1.FeatureValueDestination | A destination location for Feature values and format. | 
| com.google.cloud.aiplatform.v1.FeatureValueDestination.Builder | A destination location for Feature values and format. | 
| com.google.cloud.aiplatform.v1.FeatureValueList | Container for list of values. | 
| com.google.cloud.aiplatform.v1.FeatureValueList.Builder | Container for list of values. | 
| com.google.cloud.aiplatform.v1.FeatureView | FeatureView is representation of values that the FeatureOnlineStore will
 serve based on its syncConfig. | 
| com.google.cloud.aiplatform.v1.FeatureView.BigQuerySource | Protobuf type google.cloud.aiplatform.v1.FeatureView.BigQuerySource | 
| com.google.cloud.aiplatform.v1.FeatureView.BigQuerySource.Builder | Protobuf type google.cloud.aiplatform.v1.FeatureView.BigQuerySource | 
| com.google.cloud.aiplatform.v1.FeatureView.BigtableMetadata | Metadata for the Cloud Bigtable that supports directly interacting Bigtable
 instances. | 
| com.google.cloud.aiplatform.v1.FeatureView.BigtableMetadata.Builder | Metadata for the Cloud Bigtable that supports directly interacting Bigtable
 instances. | 
| com.google.cloud.aiplatform.v1.FeatureView.Builder | FeatureView is representation of values that the FeatureOnlineStore will
 serve based on its syncConfig. | 
| com.google.cloud.aiplatform.v1.FeatureView.FeatureRegistrySource | A Feature Registry source for features that need to be synced to Online
 Store. | 
| com.google.cloud.aiplatform.v1.FeatureView.FeatureRegistrySource.Builder | A Feature Registry source for features that need to be synced to Online
 Store. | 
| com.google.cloud.aiplatform.v1.FeatureView.FeatureRegistrySource.FeatureGroup | Features belonging to a single feature group that will be
 synced to Online Store. | 
| com.google.cloud.aiplatform.v1.FeatureView.FeatureRegistrySource.FeatureGroup.Builder | Features belonging to a single feature group that will be
 synced to Online Store. | 
| com.google.cloud.aiplatform.v1.FeatureView.IndexConfig | Configuration for vector indexing. | 
| com.google.cloud.aiplatform.v1.FeatureView.IndexConfig.BruteForceConfig | Configuration options for using brute force search. | 
| com.google.cloud.aiplatform.v1.FeatureView.IndexConfig.BruteForceConfig.Builder | Configuration options for using brute force search. | 
| com.google.cloud.aiplatform.v1.FeatureView.IndexConfig.Builder | Configuration for vector indexing. | 
| com.google.cloud.aiplatform.v1.FeatureView.IndexConfig.TreeAHConfig | Configuration options for the tree-AH algorithm. | 
| com.google.cloud.aiplatform.v1.FeatureView.IndexConfig.TreeAHConfig.Builder | Configuration options for the tree-AH algorithm. | 
| com.google.cloud.aiplatform.v1.FeatureView.OptimizedConfig | Configuration for FeatureViews created in Optimized FeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.FeatureView.OptimizedConfig.Builder | Configuration for FeatureViews created in Optimized FeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.FeatureView.SyncConfig | Configuration for Sync. Only one option is set. | 
| com.google.cloud.aiplatform.v1.FeatureView.SyncConfig.Builder | Configuration for Sync. Only one option is set. | 
| com.google.cloud.aiplatform.v1.FeatureView.VertexRagSource | A Vertex Rag source for features that need to be synced to Online
 Store. | 
| com.google.cloud.aiplatform.v1.FeatureView.VertexRagSource.Builder | A Vertex Rag source for features that need to be synced to Online
 Store. | 
| com.google.cloud.aiplatform.v1.FeatureViewDataKey | Lookup key for a feature view. | 
| com.google.cloud.aiplatform.v1.FeatureViewDataKey.Builder | Lookup key for a feature view. | 
| com.google.cloud.aiplatform.v1.FeatureViewDataKey.CompositeKey | ID that is comprised from several parts (columns). | 
| com.google.cloud.aiplatform.v1.FeatureViewDataKey.CompositeKey.Builder | ID that is comprised from several parts (columns). | 
| com.google.cloud.aiplatform.v1.FeatureViewDirectWriteRequest | Request message for
 FeatureOnlineStoreService.FeatureViewDirectWrite. | 
| com.google.cloud.aiplatform.v1.FeatureViewDirectWriteRequest.Builder | Request message for
 FeatureOnlineStoreService.FeatureViewDirectWrite. | 
| com.google.cloud.aiplatform.v1.FeatureViewDirectWriteRequest.DataKeyAndFeatureValues | A data key and associated feature values to write to the feature view. | 
| com.google.cloud.aiplatform.v1.FeatureViewDirectWriteRequest.DataKeyAndFeatureValues.Builder | A data key and associated feature values to write to the feature view. | 
| com.google.cloud.aiplatform.v1.FeatureViewDirectWriteRequest.DataKeyAndFeatureValues.Feature | Feature name & value pair. | 
| com.google.cloud.aiplatform.v1.FeatureViewDirectWriteRequest.DataKeyAndFeatureValues.Feature.Builder | Feature name & value pair. | 
| com.google.cloud.aiplatform.v1.FeatureViewDirectWriteResponse | Response message for
 FeatureOnlineStoreService.FeatureViewDirectWrite. | 
| com.google.cloud.aiplatform.v1.FeatureViewDirectWriteResponse.Builder | Response message for
 FeatureOnlineStoreService.FeatureViewDirectWrite. | 
| com.google.cloud.aiplatform.v1.FeatureViewDirectWriteResponse.WriteResponse | Details about the write for each key. | 
| com.google.cloud.aiplatform.v1.FeatureViewDirectWriteResponse.WriteResponse.Builder | Details about the write for each key. | 
| com.google.cloud.aiplatform.v1.FeatureViewName |  | 
| com.google.cloud.aiplatform.v1.FeatureViewName.Builder | Builder for
 projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}. | 
| com.google.cloud.aiplatform.v1.FeatureViewProto |  | 
| com.google.cloud.aiplatform.v1.FeatureViewSync | FeatureViewSync is a representation of sync operation which copies data from
 data source to Feature View in Online Store. | 
| com.google.cloud.aiplatform.v1.FeatureViewSync.Builder | FeatureViewSync is a representation of sync operation which copies data from
 data source to Feature View in Online Store. | 
| com.google.cloud.aiplatform.v1.FeatureViewSync.SyncSummary | Summary from the Sync job. For continuous syncs, the summary is updated
 periodically. For batch syncs, it gets updated on completion of the sync. | 
| com.google.cloud.aiplatform.v1.FeatureViewSync.SyncSummary.Builder | Summary from the Sync job. For continuous syncs, the summary is updated
 periodically. For batch syncs, it gets updated on completion of the sync. | 
| com.google.cloud.aiplatform.v1.FeatureViewSyncName |  | 
| com.google.cloud.aiplatform.v1.FeatureViewSyncName.Builder | Builder for
 projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/feature_view_sync. | 
| com.google.cloud.aiplatform.v1.FeatureViewSyncProto |  | 
| com.google.cloud.aiplatform.v1.Featurestore | Vertex AI Feature Store provides a centralized repository for organizing,
 storing, and serving ML features. The Featurestore is a top-level container
 for your features and their values. | 
| com.google.cloud.aiplatform.v1.Featurestore.Builder | Vertex AI Feature Store provides a centralized repository for organizing,
 storing, and serving ML features. The Featurestore is a top-level container
 for your features and their values. | 
| com.google.cloud.aiplatform.v1.Featurestore.OnlineServingConfig | OnlineServingConfig specifies the details for provisioning online serving
 resources. | 
| com.google.cloud.aiplatform.v1.Featurestore.OnlineServingConfig.Builder | OnlineServingConfig specifies the details for provisioning online serving
 resources. | 
| com.google.cloud.aiplatform.v1.Featurestore.OnlineServingConfig.Scaling | Online serving scaling configuration. If min_node_count and
 max_node_count are set to the same value, the cluster will be configured
 with the fixed number of node (no auto-scaling). | 
| com.google.cloud.aiplatform.v1.Featurestore.OnlineServingConfig.Scaling.Builder | Online serving scaling configuration. If min_node_count and
 max_node_count are set to the same value, the cluster will be configured
 with the fixed number of node (no auto-scaling). | 
| com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig | Configuration of how features in Featurestore are monitored. | 
| com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.Builder | Configuration of how features in Featurestore are monitored. | 
| com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis | Configuration of the Featurestore's ImportFeature Analysis Based
 Monitoring. This type of analysis generates statistics for values of each
 Feature imported by every | 
| com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder | Configuration of the Featurestore's ImportFeature Analysis Based
 Monitoring. This type of analysis generates statistics for values of each
 Feature imported by every | 
| com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis | Configuration of the Featurestore's Snapshot Analysis Based Monitoring.
 This type of analysis generates statistics for each Feature based on a
 snapshot of the latest feature value of each entities every | 
| com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder | Configuration of the Featurestore's Snapshot Analysis Based Monitoring.
 This type of analysis generates statistics for each Feature based on a
 snapshot of the latest feature value of each entities every | 
| com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig | The config for Featurestore Monitoring threshold. | 
| com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig.Builder | The config for Featurestore Monitoring threshold. | 
| com.google.cloud.aiplatform.v1.FeaturestoreMonitoringProto |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreName |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreName.Builder | Builder for projects/{project}/locations/{location}/featurestores/{featurestore}. | 
| com.google.cloud.aiplatform.v1.FeaturestoreOnlineServiceProto |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreOnlineServingServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreOnlineServingServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreOnlineServingServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreOnlineServingServiceGrpc | A service for serving online feature values. | 
| com.google.cloud.aiplatform.v1.FeaturestoreOnlineServingServiceGrpc.FeaturestoreOnlineServingServiceImplBase | Base class for the server implementation of the service FeaturestoreOnlineServingService.
 A service for serving online feature values. | 
| com.google.cloud.aiplatform.v1.FeaturestoreOnlineServingServiceSettings.Builder | Builder for FeaturestoreOnlineServingServiceSettings. | 
| com.google.cloud.aiplatform.v1.FeaturestoreProto |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListEntityTypesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListEntityTypesPage |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListEntityTypesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListFeaturesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListFeaturesPage |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListFeaturesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListFeaturestoresFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListFeaturestoresPage |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListFeaturestoresPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.SearchFeaturesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.SearchFeaturesPage |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceClient.SearchFeaturesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceGrpc | The service that handles CRUD and List for resources for Featurestore. | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceGrpc.FeaturestoreServiceImplBase | Base class for the server implementation of the service FeaturestoreService.
 The service that handles CRUD and List for resources for Featurestore. | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceProto |  | 
| com.google.cloud.aiplatform.v1.FeaturestoreServiceSettings.Builder | Builder for FeaturestoreServiceSettings. | 
| com.google.cloud.aiplatform.v1.FetchFeatureValuesRequest | Request message for
 FeatureOnlineStoreService.FetchFeatureValues.
 All the features under the requested feature view will be returned. | 
| com.google.cloud.aiplatform.v1.FetchFeatureValuesRequest.Builder | Request message for
 FeatureOnlineStoreService.FetchFeatureValues.
 All the features under the requested feature view will be returned. | 
| com.google.cloud.aiplatform.v1.FetchFeatureValuesResponse | Response message for
 FeatureOnlineStoreService.FetchFeatureValues | 
| com.google.cloud.aiplatform.v1.FetchFeatureValuesResponse.Builder | Response message for
 FeatureOnlineStoreService.FetchFeatureValues | 
| com.google.cloud.aiplatform.v1.FetchFeatureValuesResponse.FeatureNameValuePairList | Response structure in the format of key (feature name) and (feature) value
 pair. | 
| com.google.cloud.aiplatform.v1.FetchFeatureValuesResponse.FeatureNameValuePairList.Builder | Response structure in the format of key (feature name) and (feature) value
 pair. | 
| com.google.cloud.aiplatform.v1.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair | Feature name & value pair. | 
| com.google.cloud.aiplatform.v1.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair.Builder | Feature name & value pair. | 
| com.google.cloud.aiplatform.v1.FileData | URI based data. | 
| com.google.cloud.aiplatform.v1.FileData.Builder | URI based data. | 
| com.google.cloud.aiplatform.v1.FileStatus | RagFile status. | 
| com.google.cloud.aiplatform.v1.FileStatus.Builder | RagFile status. | 
| com.google.cloud.aiplatform.v1.FilterSplit | Assigns input data to training, validation, and test sets based on the given
 filters, data pieces not matched by any filter are ignored. Currently only
 supported for Datasets containing DataItems. | 
| com.google.cloud.aiplatform.v1.FilterSplit.Builder | Assigns input data to training, validation, and test sets based on the given
 filters, data pieces not matched by any filter are ignored. Currently only
 supported for Datasets containing DataItems. | 
| com.google.cloud.aiplatform.v1.FindNeighborsRequest | The request message for
 MatchService.FindNeighbors. | 
| com.google.cloud.aiplatform.v1.FindNeighborsRequest.Builder | The request message for
 MatchService.FindNeighbors. | 
| com.google.cloud.aiplatform.v1.FindNeighborsRequest.Query | A query to find a number of the nearest neighbors (most similar vectors)
 of a vector. | 
| com.google.cloud.aiplatform.v1.FindNeighborsRequest.Query.Builder | A query to find a number of the nearest neighbors (most similar vectors)
 of a vector. | 
| com.google.cloud.aiplatform.v1.FindNeighborsRequest.Query.RRF | Parameters for RRF algorithm that combines search results. | 
| com.google.cloud.aiplatform.v1.FindNeighborsRequest.Query.RRF.Builder | Parameters for RRF algorithm that combines search results. | 
| com.google.cloud.aiplatform.v1.FindNeighborsResponse | The response message for
 MatchService.FindNeighbors. | 
| com.google.cloud.aiplatform.v1.FindNeighborsResponse.Builder | The response message for
 MatchService.FindNeighbors. | 
| com.google.cloud.aiplatform.v1.FindNeighborsResponse.NearestNeighbors | Nearest neighbors for one query. | 
| com.google.cloud.aiplatform.v1.FindNeighborsResponse.NearestNeighbors.Builder | Nearest neighbors for one query. | 
| com.google.cloud.aiplatform.v1.FindNeighborsResponse.Neighbor | A neighbor of the query vector. | 
| com.google.cloud.aiplatform.v1.FindNeighborsResponse.Neighbor.Builder | A neighbor of the query vector. | 
| com.google.cloud.aiplatform.v1.FluencyInput | Input for fluency metric. | 
| com.google.cloud.aiplatform.v1.FluencyInput.Builder | Input for fluency metric. | 
| com.google.cloud.aiplatform.v1.FluencyInstance | Spec for fluency instance. | 
| com.google.cloud.aiplatform.v1.FluencyInstance.Builder | Spec for fluency instance. | 
| com.google.cloud.aiplatform.v1.FluencyResult | Spec for fluency result. | 
| com.google.cloud.aiplatform.v1.FluencyResult.Builder | Spec for fluency result. | 
| com.google.cloud.aiplatform.v1.FluencySpec | Spec for fluency score metric. | 
| com.google.cloud.aiplatform.v1.FluencySpec.Builder | Spec for fluency score metric. | 
| com.google.cloud.aiplatform.v1.FractionSplit | Assigns the input data to training, validation, and test sets as per the
 given fractions. Any of training_fraction,validation_fractionandtest_fractionmay optionally be provided, they must sum to up to 1. If the | 
| com.google.cloud.aiplatform.v1.FractionSplit.Builder | Assigns the input data to training, validation, and test sets as per the
 given fractions. Any of training_fraction,validation_fractionandtest_fractionmay optionally be provided, they must sum to up to 1. If the | 
| com.google.cloud.aiplatform.v1.FulfillmentInput | Input for fulfillment metric. | 
| com.google.cloud.aiplatform.v1.FulfillmentInput.Builder | Input for fulfillment metric. | 
| com.google.cloud.aiplatform.v1.FulfillmentInstance | Spec for fulfillment instance. | 
| com.google.cloud.aiplatform.v1.FulfillmentInstance.Builder | Spec for fulfillment instance. | 
| com.google.cloud.aiplatform.v1.FulfillmentResult | Spec for fulfillment result. | 
| com.google.cloud.aiplatform.v1.FulfillmentResult.Builder | Spec for fulfillment result. | 
| com.google.cloud.aiplatform.v1.FulfillmentSpec | Spec for fulfillment metric. | 
| com.google.cloud.aiplatform.v1.FulfillmentSpec.Builder | Spec for fulfillment metric. | 
| com.google.cloud.aiplatform.v1.FunctionCall | 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. | 
| com.google.cloud.aiplatform.v1.FunctionCall.Builder | 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. | 
| com.google.cloud.aiplatform.v1.FunctionCallingConfig | Function calling config. | 
| com.google.cloud.aiplatform.v1.FunctionCallingConfig.Builder | Function calling config. | 
| com.google.cloud.aiplatform.v1.FunctionDeclaration | Structured representation of a function declaration as defined by the
 OpenAPI 3.0 specification. Included
 in this declaration are the function name, description, parameters and | 
| com.google.cloud.aiplatform.v1.FunctionDeclaration.Builder | Structured representation of a function declaration as defined by the
 OpenAPI 3.0 specification. Included
 in this declaration are the function name, description, parameters and | 
| com.google.cloud.aiplatform.v1.FunctionResponse | 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. This should contain | 
| com.google.cloud.aiplatform.v1.FunctionResponse.Builder | 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. This should contain | 
| com.google.cloud.aiplatform.v1.FunctionResponseBlob | Raw media bytes for function response.
 Text should not be sent as raw bytes, use the 'text' field. | 
| com.google.cloud.aiplatform.v1.FunctionResponseBlob.Builder | Raw media bytes for function response.
 Text should not be sent as raw bytes, use the 'text' field. | 
| com.google.cloud.aiplatform.v1.FunctionResponseFileData | URI based data for function response. | 
| com.google.cloud.aiplatform.v1.FunctionResponseFileData.Builder | URI based data for function response. | 
| com.google.cloud.aiplatform.v1.FunctionResponsePart | A datatype containing media that is part of a FunctionResponsemessage.
 AFunctionResponsePartconsists of data which has an associated datatype. A | 
| com.google.cloud.aiplatform.v1.FunctionResponsePart.Builder | A datatype containing media that is part of a FunctionResponsemessage.
 AFunctionResponsePartconsists of data which has an associated datatype. A | 
| com.google.cloud.aiplatform.v1.GcsDestination | The Google Cloud Storage location where the output is to be written to. | 
| com.google.cloud.aiplatform.v1.GcsDestination.Builder | The Google Cloud Storage location where the output is to be written to. | 
| com.google.cloud.aiplatform.v1.GcsSource | The Google Cloud Storage location for the input content. | 
| com.google.cloud.aiplatform.v1.GcsSource.Builder | The Google Cloud Storage location for the input content. | 
| com.google.cloud.aiplatform.v1.GenAiAdvancedFeaturesConfig | Configuration for GenAiAdvancedFeatures. | 
| com.google.cloud.aiplatform.v1.GenAiAdvancedFeaturesConfig.Builder | Configuration for GenAiAdvancedFeatures. | 
| com.google.cloud.aiplatform.v1.GenAiAdvancedFeaturesConfig.RagConfig | Configuration for Retrieval Augmented Generation feature. | 
| com.google.cloud.aiplatform.v1.GenAiAdvancedFeaturesConfig.RagConfig.Builder | Configuration for Retrieval Augmented Generation feature. | 
| com.google.cloud.aiplatform.v1.GenAiCacheServiceClient.ListCachedContentsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.GenAiCacheServiceClient.ListCachedContentsPage |  | 
| com.google.cloud.aiplatform.v1.GenAiCacheServiceClient.ListCachedContentsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.GenAiCacheServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.GenAiCacheServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.GenAiCacheServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.GenAiCacheServiceGrpc | Service for managing Vertex AI's CachedContent resource. | 
| com.google.cloud.aiplatform.v1.GenAiCacheServiceGrpc.GenAiCacheServiceImplBase | Base class for the server implementation of the service GenAiCacheService.
 Service for managing Vertex AI's CachedContent resource. | 
| com.google.cloud.aiplatform.v1.GenAiCacheServiceProto |  | 
| com.google.cloud.aiplatform.v1.GenAiCacheServiceSettings.Builder | Builder for GenAiCacheServiceSettings. | 
| com.google.cloud.aiplatform.v1.GenAiTuningServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.GenAiTuningServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.GenAiTuningServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.GenAiTuningServiceClient.ListTuningJobsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.GenAiTuningServiceClient.ListTuningJobsPage |  | 
| com.google.cloud.aiplatform.v1.GenAiTuningServiceClient.ListTuningJobsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.GenAiTuningServiceGrpc | A service for creating and managing GenAI Tuning Jobs. | 
| com.google.cloud.aiplatform.v1.GenAiTuningServiceGrpc.GenAiTuningServiceImplBase | Base class for the server implementation of the service GenAiTuningService.
 A service for creating and managing GenAI Tuning Jobs. | 
| com.google.cloud.aiplatform.v1.GenAiTuningServiceProto |  | 
| com.google.cloud.aiplatform.v1.GenAiTuningServiceSettings.Builder | Builder for GenAiTuningServiceSettings. | 
| com.google.cloud.aiplatform.v1.GenerateContentRequest | Request message for [PredictionService.GenerateContent]. | 
| com.google.cloud.aiplatform.v1.GenerateContentRequest.Builder | Request message for [PredictionService.GenerateContent]. | 
| com.google.cloud.aiplatform.v1.GenerateContentResponse | Response message for [PredictionService.GenerateContent]. | 
| com.google.cloud.aiplatform.v1.GenerateContentResponse.Builder | Response message for [PredictionService.GenerateContent]. | 
| com.google.cloud.aiplatform.v1.GenerateContentResponse.PromptFeedback | Content filter results for a prompt sent in the request. | 
| com.google.cloud.aiplatform.v1.GenerateContentResponse.PromptFeedback.Builder | Content filter results for a prompt sent in the request. | 
| com.google.cloud.aiplatform.v1.GenerateContentResponse.UsageMetadata | Usage metadata about response(s). | 
| com.google.cloud.aiplatform.v1.GenerateContentResponse.UsageMetadata.Builder | Usage metadata about response(s). | 
| com.google.cloud.aiplatform.v1.GenerateFetchAccessTokenRequest | Request message for
 FeatureOnlineStoreService.GenerateFetchAccessToken. | 
| com.google.cloud.aiplatform.v1.GenerateFetchAccessTokenRequest.Builder | Request message for
 FeatureOnlineStoreService.GenerateFetchAccessToken. | 
| com.google.cloud.aiplatform.v1.GenerateFetchAccessTokenResponse | Response message for
 FeatureOnlineStoreService.GenerateFetchAccessToken. | 
| com.google.cloud.aiplatform.v1.GenerateFetchAccessTokenResponse.Builder | Response message for
 FeatureOnlineStoreService.GenerateFetchAccessToken. | 
| com.google.cloud.aiplatform.v1.GenerateSyntheticDataRequest | Request message for DataFoundryService.GenerateSyntheticData. | 
| com.google.cloud.aiplatform.v1.GenerateSyntheticDataRequest.Builder | Request message for DataFoundryService.GenerateSyntheticData. | 
| com.google.cloud.aiplatform.v1.GenerateSyntheticDataResponse | The response containing the generated data. | 
| com.google.cloud.aiplatform.v1.GenerateSyntheticDataResponse.Builder | The response containing the generated data. | 
| com.google.cloud.aiplatform.v1.GenerationConfig | Generation config. | 
| com.google.cloud.aiplatform.v1.GenerationConfig.Builder | Generation config. | 
| com.google.cloud.aiplatform.v1.GenerationConfig.RoutingConfig | The configuration for routing the request to a specific model. | 
| com.google.cloud.aiplatform.v1.GenerationConfig.RoutingConfig.AutoRoutingMode | When automated routing is specified, the routing will be determined by
 the pretrained routing model and customer provided model routing
 preference. | 
| com.google.cloud.aiplatform.v1.GenerationConfig.RoutingConfig.AutoRoutingMode.Builder | When automated routing is specified, the routing will be determined by
 the pretrained routing model and customer provided model routing
 preference. | 
| com.google.cloud.aiplatform.v1.GenerationConfig.RoutingConfig.Builder | The configuration for routing the request to a specific model. | 
| com.google.cloud.aiplatform.v1.GenerationConfig.RoutingConfig.ManualRoutingMode | When manual routing is set, the specified model will be used directly. | 
| com.google.cloud.aiplatform.v1.GenerationConfig.RoutingConfig.ManualRoutingMode.Builder | When manual routing is set, the specified model will be used directly. | 
| com.google.cloud.aiplatform.v1.GenerationConfig.ThinkingConfig | Config for thinking features. | 
| com.google.cloud.aiplatform.v1.GenerationConfig.ThinkingConfig.Builder | Config for thinking features. | 
| com.google.cloud.aiplatform.v1.GenericOperationMetadata | Generic Metadata shared by all operations. | 
| com.google.cloud.aiplatform.v1.GenericOperationMetadata.Builder | Generic Metadata shared by all operations. | 
| com.google.cloud.aiplatform.v1.GenieSource | Contains information about the source of the models generated from Generative
 AI Studio. | 
| com.google.cloud.aiplatform.v1.GenieSource.Builder | Contains information about the source of the models generated from Generative
 AI Studio. | 
| com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest | Request message for
 DatasetService.GetAnnotationSpec. | 
| com.google.cloud.aiplatform.v1.GetAnnotationSpecRequest.Builder | Request message for
 DatasetService.GetAnnotationSpec. | 
| com.google.cloud.aiplatform.v1.GetArtifactRequest | Request message for
 MetadataService.GetArtifact. | 
| com.google.cloud.aiplatform.v1.GetArtifactRequest.Builder | Request message for
 MetadataService.GetArtifact. | 
| com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest | Request message for
 JobService.GetBatchPredictionJob. | 
| com.google.cloud.aiplatform.v1.GetBatchPredictionJobRequest.Builder | Request message for
 JobService.GetBatchPredictionJob. | 
| com.google.cloud.aiplatform.v1.GetCachedContentRequest | Request message for
 GenAiCacheService.GetCachedContent. | 
| com.google.cloud.aiplatform.v1.GetCachedContentRequest.Builder | Request message for
 GenAiCacheService.GetCachedContent. | 
| com.google.cloud.aiplatform.v1.GetContextRequest | Request message for
 MetadataService.GetContext. | 
| com.google.cloud.aiplatform.v1.GetContextRequest.Builder | Request message for
 MetadataService.GetContext. | 
| com.google.cloud.aiplatform.v1.GetCustomJobRequest | Request message for
 JobService.GetCustomJob. | 
| com.google.cloud.aiplatform.v1.GetCustomJobRequest.Builder | Request message for
 JobService.GetCustomJob. | 
| com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest | Request message for
 JobService.GetDataLabelingJob. | 
| com.google.cloud.aiplatform.v1.GetDataLabelingJobRequest.Builder | Request message for
 JobService.GetDataLabelingJob. | 
| com.google.cloud.aiplatform.v1.GetDatasetRequest | Request message for
 DatasetService.GetDataset.
 Next ID: 4 | 
| com.google.cloud.aiplatform.v1.GetDatasetRequest.Builder | Request message for
 DatasetService.GetDataset.
 Next ID: 4 | 
| com.google.cloud.aiplatform.v1.GetDatasetVersionRequest | Request message for
 DatasetService.GetDatasetVersion.
 Next ID: 4 | 
| com.google.cloud.aiplatform.v1.GetDatasetVersionRequest.Builder | Request message for
 DatasetService.GetDatasetVersion.
 Next ID: 4 | 
| com.google.cloud.aiplatform.v1.GetDeploymentResourcePoolRequest | Request message for GetDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.GetDeploymentResourcePoolRequest.Builder | Request message for GetDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.GetEndpointRequest | Request message for
 EndpointService.GetEndpoint | 
| com.google.cloud.aiplatform.v1.GetEndpointRequest.Builder | Request message for
 EndpointService.GetEndpoint | 
| com.google.cloud.aiplatform.v1.GetEntityTypeRequest | Request message for
 FeaturestoreService.GetEntityType. | 
| com.google.cloud.aiplatform.v1.GetEntityTypeRequest.Builder | Request message for
 FeaturestoreService.GetEntityType. | 
| com.google.cloud.aiplatform.v1.GetExecutionRequest | Request message for
 MetadataService.GetExecution. | 
| com.google.cloud.aiplatform.v1.GetExecutionRequest.Builder | Request message for
 MetadataService.GetExecution. | 
| com.google.cloud.aiplatform.v1.GetFeatureGroupRequest | Request message for
 FeatureRegistryService.GetFeatureGroup. | 
| com.google.cloud.aiplatform.v1.GetFeatureGroupRequest.Builder | Request message for
 FeatureRegistryService.GetFeatureGroup. | 
| com.google.cloud.aiplatform.v1.GetFeatureOnlineStoreRequest | Request message for
 FeatureOnlineStoreAdminService.GetFeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.GetFeatureOnlineStoreRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.GetFeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.GetFeatureRequest | Request message for
 FeaturestoreService.GetFeature.
 Request message for | 
| com.google.cloud.aiplatform.v1.GetFeatureRequest.Builder | Request message for
 FeaturestoreService.GetFeature.
 Request message for | 
| com.google.cloud.aiplatform.v1.GetFeatureViewRequest | Request message for
 FeatureOnlineStoreAdminService.GetFeatureView. | 
| com.google.cloud.aiplatform.v1.GetFeatureViewRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.GetFeatureView. | 
| com.google.cloud.aiplatform.v1.GetFeatureViewSyncRequest | Request message for
 FeatureOnlineStoreAdminService.GetFeatureViewSync. | 
| com.google.cloud.aiplatform.v1.GetFeatureViewSyncRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.GetFeatureViewSync. | 
| com.google.cloud.aiplatform.v1.GetFeaturestoreRequest | Request message for
 FeaturestoreService.GetFeaturestore. | 
| com.google.cloud.aiplatform.v1.GetFeaturestoreRequest.Builder | Request message for
 FeaturestoreService.GetFeaturestore. | 
| com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest | Request message for
 JobService.GetHyperparameterTuningJob. | 
| com.google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest.Builder | Request message for
 JobService.GetHyperparameterTuningJob. | 
| com.google.cloud.aiplatform.v1.GetIndexEndpointRequest | Request message for
 IndexEndpointService.GetIndexEndpoint | 
| com.google.cloud.aiplatform.v1.GetIndexEndpointRequest.Builder | Request message for
 IndexEndpointService.GetIndexEndpoint | 
| com.google.cloud.aiplatform.v1.GetIndexRequest | Request message for
 IndexService.GetIndex | 
| com.google.cloud.aiplatform.v1.GetIndexRequest.Builder | Request message for
 IndexService.GetIndex | 
| com.google.cloud.aiplatform.v1.GetMetadataSchemaRequest | Request message for
 MetadataService.GetMetadataSchema. | 
| com.google.cloud.aiplatform.v1.GetMetadataSchemaRequest.Builder | Request message for
 MetadataService.GetMetadataSchema. | 
| com.google.cloud.aiplatform.v1.GetMetadataStoreRequest | Request message for
 MetadataService.GetMetadataStore. | 
| com.google.cloud.aiplatform.v1.GetMetadataStoreRequest.Builder | Request message for
 MetadataService.GetMetadataStore. | 
| com.google.cloud.aiplatform.v1.GetModelDeploymentMonitoringJobRequest | Request message for
 JobService.GetModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.GetModelDeploymentMonitoringJobRequest.Builder | Request message for
 JobService.GetModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.GetModelEvaluationRequest | Request message for
 ModelService.GetModelEvaluation. | 
| com.google.cloud.aiplatform.v1.GetModelEvaluationRequest.Builder | Request message for
 ModelService.GetModelEvaluation. | 
| com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest | Request message for
 ModelService.GetModelEvaluationSlice. | 
| com.google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest.Builder | Request message for
 ModelService.GetModelEvaluationSlice. | 
| com.google.cloud.aiplatform.v1.GetModelRequest | Request message for
 ModelService.GetModel. | 
| com.google.cloud.aiplatform.v1.GetModelRequest.Builder | Request message for
 ModelService.GetModel. | 
| com.google.cloud.aiplatform.v1.GetNasJobRequest | Request message for
 JobService.GetNasJob. | 
| com.google.cloud.aiplatform.v1.GetNasJobRequest.Builder | Request message for
 JobService.GetNasJob. | 
| com.google.cloud.aiplatform.v1.GetNasTrialDetailRequest | Request message for
 JobService.GetNasTrialDetail. | 
| com.google.cloud.aiplatform.v1.GetNasTrialDetailRequest.Builder | Request message for
 JobService.GetNasTrialDetail. | 
| com.google.cloud.aiplatform.v1.GetNotebookExecutionJobRequest | Request message for [NotebookService.GetNotebookExecutionJob] | 
| com.google.cloud.aiplatform.v1.GetNotebookExecutionJobRequest.Builder | Request message for [NotebookService.GetNotebookExecutionJob] | 
| com.google.cloud.aiplatform.v1.GetNotebookRuntimeRequest | Request message for
 NotebookService.GetNotebookRuntime | 
| com.google.cloud.aiplatform.v1.GetNotebookRuntimeRequest.Builder | Request message for
 NotebookService.GetNotebookRuntime | 
| com.google.cloud.aiplatform.v1.GetNotebookRuntimeTemplateRequest | Request message for
 NotebookService.GetNotebookRuntimeTemplate | 
| com.google.cloud.aiplatform.v1.GetNotebookRuntimeTemplateRequest.Builder | Request message for
 NotebookService.GetNotebookRuntimeTemplate | 
| com.google.cloud.aiplatform.v1.GetPersistentResourceRequest | Request message for
 PersistentResourceService.GetPersistentResource. | 
| com.google.cloud.aiplatform.v1.GetPersistentResourceRequest.Builder | Request message for
 PersistentResourceService.GetPersistentResource. | 
| com.google.cloud.aiplatform.v1.GetPipelineJobRequest | Request message for
 PipelineService.GetPipelineJob. | 
| com.google.cloud.aiplatform.v1.GetPipelineJobRequest.Builder | Request message for
 PipelineService.GetPipelineJob. | 
| com.google.cloud.aiplatform.v1.GetPublisherModelRequest | Request message for
 ModelGardenService.GetPublisherModel | 
| com.google.cloud.aiplatform.v1.GetPublisherModelRequest.Builder | Request message for
 ModelGardenService.GetPublisherModel | 
| com.google.cloud.aiplatform.v1.GetRagCorpusRequest | Request message for
 VertexRagDataService.GetRagCorpus | 
| com.google.cloud.aiplatform.v1.GetRagCorpusRequest.Builder | Request message for
 VertexRagDataService.GetRagCorpus | 
| com.google.cloud.aiplatform.v1.GetRagEngineConfigRequest | Request message for
 VertexRagDataService.GetRagEngineConfig | 
| com.google.cloud.aiplatform.v1.GetRagEngineConfigRequest.Builder | Request message for
 VertexRagDataService.GetRagEngineConfig | 
| com.google.cloud.aiplatform.v1.GetRagFileRequest | Request message for
 VertexRagDataService.GetRagFile | 
| com.google.cloud.aiplatform.v1.GetRagFileRequest.Builder | Request message for
 VertexRagDataService.GetRagFile | 
| com.google.cloud.aiplatform.v1.GetReasoningEngineRequest | Request message for
 ReasoningEngineService.GetReasoningEngine. | 
| com.google.cloud.aiplatform.v1.GetReasoningEngineRequest.Builder | Request message for
 ReasoningEngineService.GetReasoningEngine. | 
| com.google.cloud.aiplatform.v1.GetScheduleRequest | Request message for
 ScheduleService.GetSchedule. | 
| com.google.cloud.aiplatform.v1.GetScheduleRequest.Builder | Request message for
 ScheduleService.GetSchedule. | 
| com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest | Request message for
 SpecialistPoolService.GetSpecialistPool. | 
| com.google.cloud.aiplatform.v1.GetSpecialistPoolRequest.Builder | Request message for
 SpecialistPoolService.GetSpecialistPool. | 
| com.google.cloud.aiplatform.v1.GetStudyRequest | Request message for
 VizierService.GetStudy. | 
| com.google.cloud.aiplatform.v1.GetStudyRequest.Builder | Request message for
 VizierService.GetStudy. | 
| com.google.cloud.aiplatform.v1.GetTensorboardExperimentRequest | Request message for
 TensorboardService.GetTensorboardExperiment. | 
| com.google.cloud.aiplatform.v1.GetTensorboardExperimentRequest.Builder | Request message for
 TensorboardService.GetTensorboardExperiment. | 
| com.google.cloud.aiplatform.v1.GetTensorboardRequest | Request message for
 TensorboardService.GetTensorboard. | 
| com.google.cloud.aiplatform.v1.GetTensorboardRequest.Builder | Request message for
 TensorboardService.GetTensorboard. | 
| com.google.cloud.aiplatform.v1.GetTensorboardRunRequest | Request message for
 TensorboardService.GetTensorboardRun. | 
| com.google.cloud.aiplatform.v1.GetTensorboardRunRequest.Builder | Request message for
 TensorboardService.GetTensorboardRun. | 
| com.google.cloud.aiplatform.v1.GetTensorboardTimeSeriesRequest | Request message for
 TensorboardService.GetTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.GetTensorboardTimeSeriesRequest.Builder | Request message for
 TensorboardService.GetTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest | Request message for
 PipelineService.GetTrainingPipeline. | 
| com.google.cloud.aiplatform.v1.GetTrainingPipelineRequest.Builder | Request message for
 PipelineService.GetTrainingPipeline. | 
| com.google.cloud.aiplatform.v1.GetTrialRequest | Request message for
 VizierService.GetTrial. | 
| com.google.cloud.aiplatform.v1.GetTrialRequest.Builder | Request message for
 VizierService.GetTrial. | 
| com.google.cloud.aiplatform.v1.GetTuningJobRequest | Request message for
 GenAiTuningService.GetTuningJob. | 
| com.google.cloud.aiplatform.v1.GetTuningJobRequest.Builder | Request message for
 GenAiTuningService.GetTuningJob. | 
| com.google.cloud.aiplatform.v1.GoogleDriveSource | The Google Drive location for the input content. | 
| com.google.cloud.aiplatform.v1.GoogleDriveSource.Builder | The Google Drive location for the input content. | 
| com.google.cloud.aiplatform.v1.GoogleDriveSource.ResourceId | The type and ID of the Google Drive resource. | 
| com.google.cloud.aiplatform.v1.GoogleDriveSource.ResourceId.Builder | The type and ID of the Google Drive resource. | 
| com.google.cloud.aiplatform.v1.GoogleMaps | Tool to retrieve public maps data for grounding, powered by Google. | 
| com.google.cloud.aiplatform.v1.GoogleMaps.Builder | Tool to retrieve public maps data for grounding, powered by Google. | 
| com.google.cloud.aiplatform.v1.GoogleSearchRetrieval | Tool to retrieve public web data for grounding, powered by Google. | 
| com.google.cloud.aiplatform.v1.GoogleSearchRetrieval.Builder | Tool to retrieve public web data for grounding, powered by Google. | 
| com.google.cloud.aiplatform.v1.GroundednessInput | Input for groundedness metric. | 
| com.google.cloud.aiplatform.v1.GroundednessInput.Builder | Input for groundedness metric. | 
| com.google.cloud.aiplatform.v1.GroundednessInstance | Spec for groundedness instance. | 
| com.google.cloud.aiplatform.v1.GroundednessInstance.Builder | Spec for groundedness instance. | 
| com.google.cloud.aiplatform.v1.GroundednessResult | Spec for groundedness result. | 
| com.google.cloud.aiplatform.v1.GroundednessResult.Builder | Spec for groundedness result. | 
| com.google.cloud.aiplatform.v1.GroundednessSpec | Spec for groundedness metric. | 
| com.google.cloud.aiplatform.v1.GroundednessSpec.Builder | Spec for groundedness metric. | 
| com.google.cloud.aiplatform.v1.GroundingChunk | Grounding chunk. | 
| com.google.cloud.aiplatform.v1.GroundingChunk.Builder | Grounding chunk. | 
| com.google.cloud.aiplatform.v1.GroundingChunk.Maps | Chunk from Google Maps. | 
| com.google.cloud.aiplatform.v1.GroundingChunk.Maps.Builder | Chunk from Google Maps. | 
| com.google.cloud.aiplatform.v1.GroundingChunk.Maps.PlaceAnswerSources | Protobuf type google.cloud.aiplatform.v1.GroundingChunk.Maps.PlaceAnswerSources | 
| com.google.cloud.aiplatform.v1.GroundingChunk.Maps.PlaceAnswerSources.Builder | Protobuf type google.cloud.aiplatform.v1.GroundingChunk.Maps.PlaceAnswerSources | 
| com.google.cloud.aiplatform.v1.GroundingChunk.Maps.PlaceAnswerSources.ReviewSnippet | Encapsulates a review snippet. | 
| com.google.cloud.aiplatform.v1.GroundingChunk.Maps.PlaceAnswerSources.ReviewSnippet.Builder | Encapsulates a review snippet. | 
| com.google.cloud.aiplatform.v1.GroundingChunk.RetrievedContext | Chunk from context retrieved by the retrieval tools. | 
| com.google.cloud.aiplatform.v1.GroundingChunk.RetrievedContext.Builder | Chunk from context retrieved by the retrieval tools. | 
| com.google.cloud.aiplatform.v1.GroundingChunk.Web | Chunk from the web. | 
| com.google.cloud.aiplatform.v1.GroundingChunk.Web.Builder | Chunk from the web. | 
| com.google.cloud.aiplatform.v1.GroundingMetadata | Metadata returned to client when grounding is enabled. | 
| com.google.cloud.aiplatform.v1.GroundingMetadata.Builder | Metadata returned to client when grounding is enabled. | 
| com.google.cloud.aiplatform.v1.GroundingMetadata.SourceFlaggingUri | Source content flagging uri for a place or review. This is currently
 populated only for Google Maps grounding. | 
| com.google.cloud.aiplatform.v1.GroundingMetadata.SourceFlaggingUri.Builder | Source content flagging uri for a place or review. This is currently
 populated only for Google Maps grounding. | 
| com.google.cloud.aiplatform.v1.GroundingSupport | Grounding support. | 
| com.google.cloud.aiplatform.v1.GroundingSupport.Builder | Grounding support. | 
| com.google.cloud.aiplatform.v1.HyperparameterTuningJob | Represents a HyperparameterTuningJob. A HyperparameterTuningJob
 has a Study specification and multiple CustomJobs with identical
 CustomJob specification. | 
| com.google.cloud.aiplatform.v1.HyperparameterTuningJob.Builder | Represents a HyperparameterTuningJob. A HyperparameterTuningJob
 has a Study specification and multiple CustomJobs with identical
 CustomJob specification. | 
| com.google.cloud.aiplatform.v1.HyperparameterTuningJobName |  | 
| com.google.cloud.aiplatform.v1.HyperparameterTuningJobName.Builder | Builder for
 projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}. | 
| com.google.cloud.aiplatform.v1.HyperparameterTuningJobProto |  | 
| com.google.cloud.aiplatform.v1.IdMatcher | Matcher for Features of an EntityType by Feature ID. | 
| com.google.cloud.aiplatform.v1.IdMatcher.Builder | Matcher for Features of an EntityType by Feature ID. | 
| com.google.cloud.aiplatform.v1.ImageConfig | Config for image generation features. | 
| com.google.cloud.aiplatform.v1.ImageConfig.Builder | Config for image generation features. | 
| com.google.cloud.aiplatform.v1.ImportDataConfig | Describes the location from where we import data into a Dataset, together
 with the labels that will be applied to the DataItems and the Annotations. | 
| com.google.cloud.aiplatform.v1.ImportDataConfig.Builder | 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. | 
| com.google.cloud.aiplatform.v1.ImportDataOperationMetadata | Runtime operation information for
 DatasetService.ImportData. | 
| com.google.cloud.aiplatform.v1.ImportDataOperationMetadata.Builder | Runtime operation information for
 DatasetService.ImportData. | 
| com.google.cloud.aiplatform.v1.ImportDataRequest | Request message for
 DatasetService.ImportData. | 
| com.google.cloud.aiplatform.v1.ImportDataRequest.Builder | Request message for
 DatasetService.ImportData. | 
| com.google.cloud.aiplatform.v1.ImportDataResponse | Response message for
 DatasetService.ImportData. | 
| com.google.cloud.aiplatform.v1.ImportDataResponse.Builder | Response message for
 DatasetService.ImportData. | 
| com.google.cloud.aiplatform.v1.ImportFeatureValuesOperationMetadata | Details of operations that perform import Feature values. | 
| com.google.cloud.aiplatform.v1.ImportFeatureValuesOperationMetadata.Builder | Details of operations that perform import Feature values. | 
| com.google.cloud.aiplatform.v1.ImportFeatureValuesRequest | Request message for
 FeaturestoreService.ImportFeatureValues. | 
| com.google.cloud.aiplatform.v1.ImportFeatureValuesRequest.Builder | Request message for
 FeaturestoreService.ImportFeatureValues. | 
| com.google.cloud.aiplatform.v1.ImportFeatureValuesRequest.FeatureSpec | Defines the Feature value(s) to import. | 
| com.google.cloud.aiplatform.v1.ImportFeatureValuesRequest.FeatureSpec.Builder | Defines the Feature value(s) to import. | 
| com.google.cloud.aiplatform.v1.ImportFeatureValuesResponse | Response message for
 FeaturestoreService.ImportFeatureValues. | 
| com.google.cloud.aiplatform.v1.ImportFeatureValuesResponse.Builder | Response message for
 FeaturestoreService.ImportFeatureValues. | 
| com.google.cloud.aiplatform.v1.ImportModelEvaluationRequest | Request message for
 ModelService.ImportModelEvaluation | 
| com.google.cloud.aiplatform.v1.ImportModelEvaluationRequest.Builder | Request message for
 ModelService.ImportModelEvaluation | 
| com.google.cloud.aiplatform.v1.ImportRagFilesConfig | Config for importing RagFiles. | 
| com.google.cloud.aiplatform.v1.ImportRagFilesConfig.Builder | Config for importing RagFiles. | 
| com.google.cloud.aiplatform.v1.ImportRagFilesOperationMetadata | Runtime operation information for
 VertexRagDataService.ImportRagFiles. | 
| com.google.cloud.aiplatform.v1.ImportRagFilesOperationMetadata.Builder | Runtime operation information for
 VertexRagDataService.ImportRagFiles. | 
| com.google.cloud.aiplatform.v1.ImportRagFilesRequest | Request message for
 VertexRagDataService.ImportRagFiles. | 
| com.google.cloud.aiplatform.v1.ImportRagFilesRequest.Builder | Request message for
 VertexRagDataService.ImportRagFiles. | 
| com.google.cloud.aiplatform.v1.ImportRagFilesResponse | Response message for
 VertexRagDataService.ImportRagFiles. | 
| com.google.cloud.aiplatform.v1.ImportRagFilesResponse.Builder | Response message for
 VertexRagDataService.ImportRagFiles. | 
| com.google.cloud.aiplatform.v1.Index | A representation of a collection of database items organized in a way that
 allows for approximate nearest neighbor (a.k.a ANN) algorithms search. | 
| com.google.cloud.aiplatform.v1.Index.Builder | A representation of a collection of database items organized in a way that
 allows for approximate nearest neighbor (a.k.a ANN) algorithms search. | 
| com.google.cloud.aiplatform.v1.IndexDatapoint | A datapoint of Index. | 
| com.google.cloud.aiplatform.v1.IndexDatapoint.Builder | A datapoint of Index. | 
| com.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag | 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. | 
| com.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag.Builder | 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. | 
| com.google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction | This field allows restricts to be based on numeric comparisons rather
 than categorical tokens. | 
| com.google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction.Builder | This field allows restricts to be based on numeric comparisons rather
 than categorical tokens. | 
| com.google.cloud.aiplatform.v1.IndexDatapoint.Restriction | Restriction of a datapoint which describe its attributes(tokens) from each
 of several attribute categories(namespaces). | 
| com.google.cloud.aiplatform.v1.IndexDatapoint.Restriction.Builder | Restriction of a datapoint which describe its attributes(tokens) from each
 of several attribute categories(namespaces). | 
| com.google.cloud.aiplatform.v1.IndexDatapoint.SparseEmbedding | Feature embedding vector for sparse index. An array of numbers whose values
 are located in the specified dimensions. | 
| com.google.cloud.aiplatform.v1.IndexDatapoint.SparseEmbedding.Builder | Feature embedding vector for sparse index. An array of numbers whose values
 are located in the specified dimensions. | 
| com.google.cloud.aiplatform.v1.IndexEndpoint | Indexes are deployed into it. An IndexEndpoint can have multiple
 DeployedIndexes. | 
| com.google.cloud.aiplatform.v1.IndexEndpoint.Builder | Indexes are deployed into it. An IndexEndpoint can have multiple
 DeployedIndexes. | 
| com.google.cloud.aiplatform.v1.IndexEndpointName |  | 
| com.google.cloud.aiplatform.v1.IndexEndpointName.Builder | Builder for projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}. | 
| com.google.cloud.aiplatform.v1.IndexEndpointProto |  | 
| com.google.cloud.aiplatform.v1.IndexEndpointServiceClient.ListIndexEndpointsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.IndexEndpointServiceClient.ListIndexEndpointsPage |  | 
| com.google.cloud.aiplatform.v1.IndexEndpointServiceClient.ListIndexEndpointsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.IndexEndpointServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.IndexEndpointServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.IndexEndpointServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.IndexEndpointServiceGrpc | A service for managing Vertex AI's IndexEndpoints. | 
| com.google.cloud.aiplatform.v1.IndexEndpointServiceGrpc.IndexEndpointServiceImplBase | Base class for the server implementation of the service IndexEndpointService.
 A service for managing Vertex AI's IndexEndpoints. | 
| com.google.cloud.aiplatform.v1.IndexEndpointServiceProto |  | 
| com.google.cloud.aiplatform.v1.IndexEndpointServiceSettings.Builder | Builder for IndexEndpointServiceSettings. | 
| com.google.cloud.aiplatform.v1.IndexName |  | 
| com.google.cloud.aiplatform.v1.IndexName.Builder | Builder for projects/{project}/locations/{location}/indexes/{index}. | 
| com.google.cloud.aiplatform.v1.IndexPrivateEndpoints | IndexPrivateEndpoints proto is used to provide paths for users to send
 requests via private endpoints (e.g. private service access, private service
 connect). | 
| com.google.cloud.aiplatform.v1.IndexPrivateEndpoints.Builder | IndexPrivateEndpoints proto is used to provide paths for users to send
 requests via private endpoints (e.g. private service access, private service
 connect). | 
| com.google.cloud.aiplatform.v1.IndexProto |  | 
| com.google.cloud.aiplatform.v1.IndexServiceClient.ListIndexesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.IndexServiceClient.ListIndexesPage |  | 
| com.google.cloud.aiplatform.v1.IndexServiceClient.ListIndexesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.IndexServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.IndexServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.IndexServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.IndexServiceGrpc | A service for creating and managing Vertex AI's Index resources. | 
| com.google.cloud.aiplatform.v1.IndexServiceGrpc.IndexServiceImplBase | Base class for the server implementation of the service IndexService.
 A service for creating and managing Vertex AI's Index resources. | 
| com.google.cloud.aiplatform.v1.IndexServiceProto |  | 
| com.google.cloud.aiplatform.v1.IndexServiceSettings.Builder | Builder for IndexServiceSettings. | 
| com.google.cloud.aiplatform.v1.IndexStats | Stats of the Index. | 
| com.google.cloud.aiplatform.v1.IndexStats.Builder | Stats of the Index. | 
| com.google.cloud.aiplatform.v1.InputDataConfig | Specifies Vertex AI owned input data to be used for training, and
 possibly evaluating, the Model. | 
| com.google.cloud.aiplatform.v1.InputDataConfig.Builder | Specifies Vertex AI owned input data to be used for training, and
 possibly evaluating, the Model. | 
| com.google.cloud.aiplatform.v1.Int64Array | A list of int64 values. | 
| com.google.cloud.aiplatform.v1.Int64Array.Builder | A list of int64 values. | 
| com.google.cloud.aiplatform.v1.IntegratedGradientsAttribution | An attribution method that computes the Aumann-Shapley value taking advantage
 of the model's fully differentiable structure. Refer to this paper for
 more details: https://arxiv.org/abs/1703.01365 | 
| com.google.cloud.aiplatform.v1.IntegratedGradientsAttribution.Builder | An attribution method that computes the Aumann-Shapley value taking advantage
 of the model's fully differentiable structure. Refer to this paper for
 more details: https://arxiv.org/abs/1703.01365 | 
| com.google.cloud.aiplatform.v1.IoProto |  | 
| com.google.cloud.aiplatform.v1.JiraSource | The Jira source for the ImportRagFilesRequest. | 
| com.google.cloud.aiplatform.v1.JiraSource.Builder | The Jira source for the ImportRagFilesRequest. | 
| com.google.cloud.aiplatform.v1.JiraSource.JiraQueries | JiraQueries contains the Jira queries and corresponding authentication. | 
| com.google.cloud.aiplatform.v1.JiraSource.JiraQueries.Builder | JiraQueries contains the Jira queries and corresponding authentication. | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListBatchPredictionJobsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListBatchPredictionJobsPage |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListBatchPredictionJobsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListCustomJobsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListCustomJobsPage |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListCustomJobsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListDataLabelingJobsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListDataLabelingJobsPage |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListDataLabelingJobsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListHyperparameterTuningJobsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListHyperparameterTuningJobsPage |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListModelDeploymentMonitoringJobsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListModelDeploymentMonitoringJobsPage |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListModelDeploymentMonitoringJobsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListNasJobsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListNasJobsPage |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListNasJobsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListNasTrialDetailsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListNasTrialDetailsPage |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.ListNasTrialDetailsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.SearchModelDeploymentMonitoringStatsAnomaliesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.SearchModelDeploymentMonitoringStatsAnomaliesPage |  | 
| com.google.cloud.aiplatform.v1.JobServiceClient.SearchModelDeploymentMonitoringStatsAnomaliesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.JobServiceGrpc | A service for creating and managing Vertex AI's jobs. | 
| com.google.cloud.aiplatform.v1.JobServiceGrpc.JobServiceImplBase | Base class for the server implementation of the service JobService.
 A service for creating and managing Vertex AI's jobs. | 
| com.google.cloud.aiplatform.v1.JobServiceProto |  | 
| com.google.cloud.aiplatform.v1.JobServiceSettings.Builder | Builder for JobServiceSettings. | 
| com.google.cloud.aiplatform.v1.JobStateProto |  | 
| com.google.cloud.aiplatform.v1.LargeModelReference | Contains information about the Large Model. | 
| com.google.cloud.aiplatform.v1.LargeModelReference.Builder | Contains information about the Large Model. | 
| com.google.cloud.aiplatform.v1.LineageSubgraph | A subgraph of the overall lineage graph. Event edges connect Artifact and
 Execution nodes. | 
| com.google.cloud.aiplatform.v1.LineageSubgraph.Builder | A subgraph of the overall lineage graph. Event edges connect Artifact and
 Execution nodes. | 
| com.google.cloud.aiplatform.v1.LineageSubgraphProto |  | 
| com.google.cloud.aiplatform.v1.ListAnnotationsRequest | Request message for
 DatasetService.ListAnnotations. | 
| com.google.cloud.aiplatform.v1.ListAnnotationsRequest.Builder | Request message for
 DatasetService.ListAnnotations. | 
| com.google.cloud.aiplatform.v1.ListAnnotationsResponse | Response message for
 DatasetService.ListAnnotations. | 
| com.google.cloud.aiplatform.v1.ListAnnotationsResponse.Builder | Response message for
 DatasetService.ListAnnotations. | 
| com.google.cloud.aiplatform.v1.ListArtifactsRequest | Request message for
 MetadataService.ListArtifacts. | 
| com.google.cloud.aiplatform.v1.ListArtifactsRequest.Builder | Request message for
 MetadataService.ListArtifacts. | 
| com.google.cloud.aiplatform.v1.ListArtifactsResponse | Response message for
 MetadataService.ListArtifacts. | 
| com.google.cloud.aiplatform.v1.ListArtifactsResponse.Builder | Response message for
 MetadataService.ListArtifacts. | 
| com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest | Request message for
 JobService.ListBatchPredictionJobs. | 
| com.google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.Builder | Request message for
 JobService.ListBatchPredictionJobs. | 
| com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse | Response message for
 JobService.ListBatchPredictionJobs | 
| com.google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.Builder | Response message for
 JobService.ListBatchPredictionJobs | 
| com.google.cloud.aiplatform.v1.ListCachedContentsRequest | Request to list CachedContents. | 
| com.google.cloud.aiplatform.v1.ListCachedContentsRequest.Builder | Request to list CachedContents. | 
| com.google.cloud.aiplatform.v1.ListCachedContentsResponse | Response with a list of CachedContents. | 
| com.google.cloud.aiplatform.v1.ListCachedContentsResponse.Builder | Response with a list of CachedContents. | 
| com.google.cloud.aiplatform.v1.ListContextsRequest | Request message for
 MetadataService.ListContexts | 
| com.google.cloud.aiplatform.v1.ListContextsRequest.Builder | Request message for
 MetadataService.ListContexts | 
| com.google.cloud.aiplatform.v1.ListContextsResponse | Response message for
 MetadataService.ListContexts. | 
| com.google.cloud.aiplatform.v1.ListContextsResponse.Builder | Response message for
 MetadataService.ListContexts. | 
| com.google.cloud.aiplatform.v1.ListCustomJobsRequest | Request message for
 JobService.ListCustomJobs. | 
| com.google.cloud.aiplatform.v1.ListCustomJobsRequest.Builder | Request message for
 JobService.ListCustomJobs. | 
| com.google.cloud.aiplatform.v1.ListCustomJobsResponse | Response message for
 JobService.ListCustomJobs | 
| com.google.cloud.aiplatform.v1.ListCustomJobsResponse.Builder | Response message for
 JobService.ListCustomJobs | 
| com.google.cloud.aiplatform.v1.ListDataItemsRequest | Request message for
 DatasetService.ListDataItems. | 
| com.google.cloud.aiplatform.v1.ListDataItemsRequest.Builder | Request message for
 DatasetService.ListDataItems. | 
| com.google.cloud.aiplatform.v1.ListDataItemsResponse | Response message for
 DatasetService.ListDataItems. | 
| com.google.cloud.aiplatform.v1.ListDataItemsResponse.Builder | Response message for
 DatasetService.ListDataItems. | 
| com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest | Request message for
 JobService.ListDataLabelingJobs. | 
| com.google.cloud.aiplatform.v1.ListDataLabelingJobsRequest.Builder | Request message for
 JobService.ListDataLabelingJobs. | 
| com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse | Response message for
 JobService.ListDataLabelingJobs. | 
| com.google.cloud.aiplatform.v1.ListDataLabelingJobsResponse.Builder | Response message for
 JobService.ListDataLabelingJobs. | 
| com.google.cloud.aiplatform.v1.ListDatasetVersionsRequest | Request message for
 DatasetService.ListDatasetVersions. | 
| com.google.cloud.aiplatform.v1.ListDatasetVersionsRequest.Builder | Request message for
 DatasetService.ListDatasetVersions. | 
| com.google.cloud.aiplatform.v1.ListDatasetVersionsResponse | Response message for
 DatasetService.ListDatasetVersions. | 
| com.google.cloud.aiplatform.v1.ListDatasetVersionsResponse.Builder | Response message for
 DatasetService.ListDatasetVersions. | 
| com.google.cloud.aiplatform.v1.ListDatasetsRequest | Request message for
 DatasetService.ListDatasets. | 
| com.google.cloud.aiplatform.v1.ListDatasetsRequest.Builder | Request message for
 DatasetService.ListDatasets. | 
| com.google.cloud.aiplatform.v1.ListDatasetsResponse | Response message for
 DatasetService.ListDatasets. | 
| com.google.cloud.aiplatform.v1.ListDatasetsResponse.Builder | Response message for
 DatasetService.ListDatasets. | 
| com.google.cloud.aiplatform.v1.ListDeploymentResourcePoolsRequest | Request message for ListDeploymentResourcePools method. | 
| com.google.cloud.aiplatform.v1.ListDeploymentResourcePoolsRequest.Builder | Request message for ListDeploymentResourcePools method. | 
| com.google.cloud.aiplatform.v1.ListDeploymentResourcePoolsResponse | Response message for ListDeploymentResourcePools method. | 
| com.google.cloud.aiplatform.v1.ListDeploymentResourcePoolsResponse.Builder | Response message for ListDeploymentResourcePools method. | 
| com.google.cloud.aiplatform.v1.ListEndpointsRequest | Request message for
 EndpointService.ListEndpoints. | 
| com.google.cloud.aiplatform.v1.ListEndpointsRequest.Builder | Request message for
 EndpointService.ListEndpoints. | 
| com.google.cloud.aiplatform.v1.ListEndpointsResponse | Response message for
 EndpointService.ListEndpoints. | 
| com.google.cloud.aiplatform.v1.ListEndpointsResponse.Builder | Response message for
 EndpointService.ListEndpoints. | 
| com.google.cloud.aiplatform.v1.ListEntityTypesRequest | Request message for
 FeaturestoreService.ListEntityTypes. | 
| com.google.cloud.aiplatform.v1.ListEntityTypesRequest.Builder | Request message for
 FeaturestoreService.ListEntityTypes. | 
| com.google.cloud.aiplatform.v1.ListEntityTypesResponse | Response message for
 FeaturestoreService.ListEntityTypes. | 
| com.google.cloud.aiplatform.v1.ListEntityTypesResponse.Builder | Response message for
 FeaturestoreService.ListEntityTypes. | 
| com.google.cloud.aiplatform.v1.ListExecutionsRequest | Request message for
 MetadataService.ListExecutions. | 
| com.google.cloud.aiplatform.v1.ListExecutionsRequest.Builder | Request message for
 MetadataService.ListExecutions. | 
| com.google.cloud.aiplatform.v1.ListExecutionsResponse | Response message for
 MetadataService.ListExecutions. | 
| com.google.cloud.aiplatform.v1.ListExecutionsResponse.Builder | Response message for
 MetadataService.ListExecutions. | 
| com.google.cloud.aiplatform.v1.ListFeatureGroupsRequest | Request message for
 FeatureRegistryService.ListFeatureGroups. | 
| com.google.cloud.aiplatform.v1.ListFeatureGroupsRequest.Builder | Request message for
 FeatureRegistryService.ListFeatureGroups. | 
| com.google.cloud.aiplatform.v1.ListFeatureGroupsResponse | Response message for
 FeatureRegistryService.ListFeatureGroups. | 
| com.google.cloud.aiplatform.v1.ListFeatureGroupsResponse.Builder | Response message for
 FeatureRegistryService.ListFeatureGroups. | 
| com.google.cloud.aiplatform.v1.ListFeatureOnlineStoresRequest | Request message for
 FeatureOnlineStoreAdminService.ListFeatureOnlineStores. | 
| com.google.cloud.aiplatform.v1.ListFeatureOnlineStoresRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.ListFeatureOnlineStores. | 
| com.google.cloud.aiplatform.v1.ListFeatureOnlineStoresResponse | Response message for
 FeatureOnlineStoreAdminService.ListFeatureOnlineStores. | 
| com.google.cloud.aiplatform.v1.ListFeatureOnlineStoresResponse.Builder | Response message for
 FeatureOnlineStoreAdminService.ListFeatureOnlineStores. | 
| com.google.cloud.aiplatform.v1.ListFeatureViewSyncsRequest | Request message for
 FeatureOnlineStoreAdminService.ListFeatureViewSyncs. | 
| com.google.cloud.aiplatform.v1.ListFeatureViewSyncsRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.ListFeatureViewSyncs. | 
| com.google.cloud.aiplatform.v1.ListFeatureViewSyncsResponse | Response message for
 FeatureOnlineStoreAdminService.ListFeatureViewSyncs. | 
| com.google.cloud.aiplatform.v1.ListFeatureViewSyncsResponse.Builder | Response message for
 FeatureOnlineStoreAdminService.ListFeatureViewSyncs. | 
| com.google.cloud.aiplatform.v1.ListFeatureViewsRequest | Request message for
 FeatureOnlineStoreAdminService.ListFeatureViews. | 
| com.google.cloud.aiplatform.v1.ListFeatureViewsRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.ListFeatureViews. | 
| com.google.cloud.aiplatform.v1.ListFeatureViewsResponse | Response message for
 FeatureOnlineStoreAdminService.ListFeatureViews. | 
| com.google.cloud.aiplatform.v1.ListFeatureViewsResponse.Builder | Response message for
 FeatureOnlineStoreAdminService.ListFeatureViews. | 
| com.google.cloud.aiplatform.v1.ListFeaturesRequest | Request message for
 FeaturestoreService.ListFeatures.
 Request message for | 
| com.google.cloud.aiplatform.v1.ListFeaturesRequest.Builder | Request message for
 FeaturestoreService.ListFeatures.
 Request message for | 
| com.google.cloud.aiplatform.v1.ListFeaturesResponse | Response message for
 FeaturestoreService.ListFeatures.
 Response message for | 
| com.google.cloud.aiplatform.v1.ListFeaturesResponse.Builder | Response message for
 FeaturestoreService.ListFeatures.
 Response message for | 
| com.google.cloud.aiplatform.v1.ListFeaturestoresRequest | Request message for
 FeaturestoreService.ListFeaturestores. | 
| com.google.cloud.aiplatform.v1.ListFeaturestoresRequest.Builder | Request message for
 FeaturestoreService.ListFeaturestores. | 
| com.google.cloud.aiplatform.v1.ListFeaturestoresResponse | Response message for
 FeaturestoreService.ListFeaturestores. | 
| com.google.cloud.aiplatform.v1.ListFeaturestoresResponse.Builder | Response message for
 FeaturestoreService.ListFeaturestores. | 
| com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest | Request message for
 JobService.ListHyperparameterTuningJobs. | 
| com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.Builder | Request message for
 JobService.ListHyperparameterTuningJobs. | 
| com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse | Response message for
 JobService.ListHyperparameterTuningJobs | 
| com.google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.Builder | Response message for
 JobService.ListHyperparameterTuningJobs | 
| com.google.cloud.aiplatform.v1.ListIndexEndpointsRequest | Request message for
 IndexEndpointService.ListIndexEndpoints. | 
| com.google.cloud.aiplatform.v1.ListIndexEndpointsRequest.Builder | Request message for
 IndexEndpointService.ListIndexEndpoints. | 
| com.google.cloud.aiplatform.v1.ListIndexEndpointsResponse | Response message for
 IndexEndpointService.ListIndexEndpoints. | 
| com.google.cloud.aiplatform.v1.ListIndexEndpointsResponse.Builder | Response message for
 IndexEndpointService.ListIndexEndpoints. | 
| com.google.cloud.aiplatform.v1.ListIndexesRequest | Request message for
 IndexService.ListIndexes. | 
| com.google.cloud.aiplatform.v1.ListIndexesRequest.Builder | Request message for
 IndexService.ListIndexes. | 
| com.google.cloud.aiplatform.v1.ListIndexesResponse | Response message for
 IndexService.ListIndexes. | 
| com.google.cloud.aiplatform.v1.ListIndexesResponse.Builder | Response message for
 IndexService.ListIndexes. | 
| com.google.cloud.aiplatform.v1.ListMetadataSchemasRequest | Request message for
 MetadataService.ListMetadataSchemas. | 
| com.google.cloud.aiplatform.v1.ListMetadataSchemasRequest.Builder | Request message for
 MetadataService.ListMetadataSchemas. | 
| com.google.cloud.aiplatform.v1.ListMetadataSchemasResponse | Response message for
 MetadataService.ListMetadataSchemas. | 
| com.google.cloud.aiplatform.v1.ListMetadataSchemasResponse.Builder | Response message for
 MetadataService.ListMetadataSchemas. | 
| com.google.cloud.aiplatform.v1.ListMetadataStoresRequest | Request message for
 MetadataService.ListMetadataStores. | 
| com.google.cloud.aiplatform.v1.ListMetadataStoresRequest.Builder | Request message for
 MetadataService.ListMetadataStores. | 
| com.google.cloud.aiplatform.v1.ListMetadataStoresResponse | Response message for
 MetadataService.ListMetadataStores. | 
| com.google.cloud.aiplatform.v1.ListMetadataStoresResponse.Builder | Response message for
 MetadataService.ListMetadataStores. | 
| com.google.cloud.aiplatform.v1.ListModelDeploymentMonitoringJobsRequest | Request message for
 JobService.ListModelDeploymentMonitoringJobs. | 
| com.google.cloud.aiplatform.v1.ListModelDeploymentMonitoringJobsRequest.Builder | Request message for
 JobService.ListModelDeploymentMonitoringJobs. | 
| com.google.cloud.aiplatform.v1.ListModelDeploymentMonitoringJobsResponse | Response message for
 JobService.ListModelDeploymentMonitoringJobs. | 
| com.google.cloud.aiplatform.v1.ListModelDeploymentMonitoringJobsResponse.Builder | Response message for
 JobService.ListModelDeploymentMonitoringJobs. | 
| com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest | Request message for
 ModelService.ListModelEvaluationSlices. | 
| com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.Builder | Request message for
 ModelService.ListModelEvaluationSlices. | 
| com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse | Response message for
 ModelService.ListModelEvaluationSlices. | 
| com.google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.Builder | Response message for
 ModelService.ListModelEvaluationSlices. | 
| com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest | Request message for
 ModelService.ListModelEvaluations. | 
| com.google.cloud.aiplatform.v1.ListModelEvaluationsRequest.Builder | Request message for
 ModelService.ListModelEvaluations. | 
| com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse | Response message for
 ModelService.ListModelEvaluations. | 
| com.google.cloud.aiplatform.v1.ListModelEvaluationsResponse.Builder | Response message for
 ModelService.ListModelEvaluations. | 
| com.google.cloud.aiplatform.v1.ListModelVersionCheckpointsRequest | Request message for
 ModelService.ListModelVersionCheckpoints. | 
| com.google.cloud.aiplatform.v1.ListModelVersionCheckpointsRequest.Builder | Request message for
 ModelService.ListModelVersionCheckpoints. | 
| com.google.cloud.aiplatform.v1.ListModelVersionCheckpointsResponse | Response message for
 ModelService.ListModelVersionCheckpoints | 
| com.google.cloud.aiplatform.v1.ListModelVersionCheckpointsResponse.Builder | Response message for
 ModelService.ListModelVersionCheckpoints | 
| com.google.cloud.aiplatform.v1.ListModelVersionsRequest | Request message for
 ModelService.ListModelVersions. | 
| com.google.cloud.aiplatform.v1.ListModelVersionsRequest.Builder | Request message for
 ModelService.ListModelVersions. | 
| com.google.cloud.aiplatform.v1.ListModelVersionsResponse | Response message for
 ModelService.ListModelVersions | 
| com.google.cloud.aiplatform.v1.ListModelVersionsResponse.Builder | Response message for
 ModelService.ListModelVersions | 
| com.google.cloud.aiplatform.v1.ListModelsRequest | Request message for
 ModelService.ListModels. | 
| com.google.cloud.aiplatform.v1.ListModelsRequest.Builder | Request message for
 ModelService.ListModels. | 
| com.google.cloud.aiplatform.v1.ListModelsResponse | Response message for
 ModelService.ListModels | 
| com.google.cloud.aiplatform.v1.ListModelsResponse.Builder | Response message for
 ModelService.ListModels | 
| com.google.cloud.aiplatform.v1.ListNasJobsRequest | Request message for
 JobService.ListNasJobs. | 
| com.google.cloud.aiplatform.v1.ListNasJobsRequest.Builder | Request message for
 JobService.ListNasJobs. | 
| com.google.cloud.aiplatform.v1.ListNasJobsResponse | Response message for
 JobService.ListNasJobs | 
| com.google.cloud.aiplatform.v1.ListNasJobsResponse.Builder | Response message for
 JobService.ListNasJobs | 
| com.google.cloud.aiplatform.v1.ListNasTrialDetailsRequest | Request message for
 JobService.ListNasTrialDetails. | 
| com.google.cloud.aiplatform.v1.ListNasTrialDetailsRequest.Builder | Request message for
 JobService.ListNasTrialDetails. | 
| com.google.cloud.aiplatform.v1.ListNasTrialDetailsResponse | Response message for
 JobService.ListNasTrialDetails | 
| com.google.cloud.aiplatform.v1.ListNasTrialDetailsResponse.Builder | Response message for
 JobService.ListNasTrialDetails | 
| com.google.cloud.aiplatform.v1.ListNotebookExecutionJobsRequest | Request message for [NotebookService.ListNotebookExecutionJobs] | 
| com.google.cloud.aiplatform.v1.ListNotebookExecutionJobsRequest.Builder | Request message for [NotebookService.ListNotebookExecutionJobs] | 
| com.google.cloud.aiplatform.v1.ListNotebookExecutionJobsResponse | Response message for [NotebookService.CreateNotebookExecutionJob] | 
| com.google.cloud.aiplatform.v1.ListNotebookExecutionJobsResponse.Builder | Response message for [NotebookService.CreateNotebookExecutionJob] | 
| com.google.cloud.aiplatform.v1.ListNotebookRuntimeTemplatesRequest | Request message for
 NotebookService.ListNotebookRuntimeTemplates. | 
| com.google.cloud.aiplatform.v1.ListNotebookRuntimeTemplatesRequest.Builder | Request message for
 NotebookService.ListNotebookRuntimeTemplates. | 
| com.google.cloud.aiplatform.v1.ListNotebookRuntimeTemplatesResponse | Response message for
 NotebookService.ListNotebookRuntimeTemplates. | 
| com.google.cloud.aiplatform.v1.ListNotebookRuntimeTemplatesResponse.Builder | Response message for
 NotebookService.ListNotebookRuntimeTemplates. | 
| com.google.cloud.aiplatform.v1.ListNotebookRuntimesRequest | Request message for
 NotebookService.ListNotebookRuntimes. | 
| com.google.cloud.aiplatform.v1.ListNotebookRuntimesRequest.Builder | Request message for
 NotebookService.ListNotebookRuntimes. | 
| com.google.cloud.aiplatform.v1.ListNotebookRuntimesResponse | Response message for
 NotebookService.ListNotebookRuntimes. | 
| com.google.cloud.aiplatform.v1.ListNotebookRuntimesResponse.Builder | Response message for
 NotebookService.ListNotebookRuntimes. | 
| com.google.cloud.aiplatform.v1.ListOptimalTrialsRequest | Request message for
 VizierService.ListOptimalTrials. | 
| com.google.cloud.aiplatform.v1.ListOptimalTrialsRequest.Builder | Request message for
 VizierService.ListOptimalTrials. | 
| com.google.cloud.aiplatform.v1.ListOptimalTrialsResponse | Response message for
 VizierService.ListOptimalTrials. | 
| com.google.cloud.aiplatform.v1.ListOptimalTrialsResponse.Builder | Response message for
 VizierService.ListOptimalTrials. | 
| com.google.cloud.aiplatform.v1.ListPersistentResourcesRequest | Request message for
 PersistentResourceService.ListPersistentResources. | 
| com.google.cloud.aiplatform.v1.ListPersistentResourcesRequest.Builder | Request message for
 PersistentResourceService.ListPersistentResources. | 
| com.google.cloud.aiplatform.v1.ListPersistentResourcesResponse | Response message for
 PersistentResourceService.ListPersistentResources | 
| com.google.cloud.aiplatform.v1.ListPersistentResourcesResponse.Builder | Response message for
 PersistentResourceService.ListPersistentResources | 
| com.google.cloud.aiplatform.v1.ListPipelineJobsRequest | Request message for
 PipelineService.ListPipelineJobs. | 
| com.google.cloud.aiplatform.v1.ListPipelineJobsRequest.Builder | Request message for
 PipelineService.ListPipelineJobs. | 
| com.google.cloud.aiplatform.v1.ListPipelineJobsResponse | Response message for
 PipelineService.ListPipelineJobs | 
| com.google.cloud.aiplatform.v1.ListPipelineJobsResponse.Builder | Response message for
 PipelineService.ListPipelineJobs | 
| com.google.cloud.aiplatform.v1.ListRagCorporaRequest | Request message for
 VertexRagDataService.ListRagCorpora. | 
| com.google.cloud.aiplatform.v1.ListRagCorporaRequest.Builder | Request message for
 VertexRagDataService.ListRagCorpora. | 
| com.google.cloud.aiplatform.v1.ListRagCorporaResponse | Response message for
 VertexRagDataService.ListRagCorpora. | 
| com.google.cloud.aiplatform.v1.ListRagCorporaResponse.Builder | Response message for
 VertexRagDataService.ListRagCorpora. | 
| com.google.cloud.aiplatform.v1.ListRagFilesRequest | Request message for
 VertexRagDataService.ListRagFiles. | 
| com.google.cloud.aiplatform.v1.ListRagFilesRequest.Builder | Request message for
 VertexRagDataService.ListRagFiles. | 
| com.google.cloud.aiplatform.v1.ListRagFilesResponse | Response message for
 VertexRagDataService.ListRagFiles. | 
| com.google.cloud.aiplatform.v1.ListRagFilesResponse.Builder | Response message for
 VertexRagDataService.ListRagFiles. | 
| com.google.cloud.aiplatform.v1.ListReasoningEnginesRequest | Request message for
 ReasoningEngineService.ListReasoningEngines. | 
| com.google.cloud.aiplatform.v1.ListReasoningEnginesRequest.Builder | Request message for
 ReasoningEngineService.ListReasoningEngines. | 
| com.google.cloud.aiplatform.v1.ListReasoningEnginesResponse | Response message for
 ReasoningEngineService.ListReasoningEngines | 
| com.google.cloud.aiplatform.v1.ListReasoningEnginesResponse.Builder | Response message for
 ReasoningEngineService.ListReasoningEngines | 
| com.google.cloud.aiplatform.v1.ListSavedQueriesRequest | Request message for
 DatasetService.ListSavedQueries. | 
| com.google.cloud.aiplatform.v1.ListSavedQueriesRequest.Builder | Request message for
 DatasetService.ListSavedQueries. | 
| com.google.cloud.aiplatform.v1.ListSavedQueriesResponse | Response message for
 DatasetService.ListSavedQueries. | 
| com.google.cloud.aiplatform.v1.ListSavedQueriesResponse.Builder | Response message for
 DatasetService.ListSavedQueries. | 
| com.google.cloud.aiplatform.v1.ListSchedulesRequest | Request message for
 ScheduleService.ListSchedules. | 
| com.google.cloud.aiplatform.v1.ListSchedulesRequest.Builder | Request message for
 ScheduleService.ListSchedules. | 
| com.google.cloud.aiplatform.v1.ListSchedulesResponse | Response message for
 ScheduleService.ListSchedules | 
| com.google.cloud.aiplatform.v1.ListSchedulesResponse.Builder | Response message for
 ScheduleService.ListSchedules | 
| com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest | Request message for
 SpecialistPoolService.ListSpecialistPools. | 
| com.google.cloud.aiplatform.v1.ListSpecialistPoolsRequest.Builder | Request message for
 SpecialistPoolService.ListSpecialistPools. | 
| com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse | Response message for
 SpecialistPoolService.ListSpecialistPools. | 
| com.google.cloud.aiplatform.v1.ListSpecialistPoolsResponse.Builder | Response message for
 SpecialistPoolService.ListSpecialistPools. | 
| com.google.cloud.aiplatform.v1.ListStudiesRequest | Request message for
 VizierService.ListStudies. | 
| com.google.cloud.aiplatform.v1.ListStudiesRequest.Builder | Request message for
 VizierService.ListStudies. | 
| com.google.cloud.aiplatform.v1.ListStudiesResponse | Response message for
 VizierService.ListStudies. | 
| com.google.cloud.aiplatform.v1.ListStudiesResponse.Builder | Response message for
 VizierService.ListStudies. | 
| com.google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest | Request message for
 TensorboardService.ListTensorboardExperiments. | 
| com.google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.Builder | Request message for
 TensorboardService.ListTensorboardExperiments. | 
| com.google.cloud.aiplatform.v1.ListTensorboardExperimentsResponse | Response message for
 TensorboardService.ListTensorboardExperiments. | 
| com.google.cloud.aiplatform.v1.ListTensorboardExperimentsResponse.Builder | Response message for
 TensorboardService.ListTensorboardExperiments. | 
| com.google.cloud.aiplatform.v1.ListTensorboardRunsRequest | Request message for
 TensorboardService.ListTensorboardRuns. | 
| com.google.cloud.aiplatform.v1.ListTensorboardRunsRequest.Builder | Request message for
 TensorboardService.ListTensorboardRuns. | 
| com.google.cloud.aiplatform.v1.ListTensorboardRunsResponse | Response message for
 TensorboardService.ListTensorboardRuns. | 
| com.google.cloud.aiplatform.v1.ListTensorboardRunsResponse.Builder | Response message for
 TensorboardService.ListTensorboardRuns. | 
| com.google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest | Request message for
 TensorboardService.ListTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.ListTensorboardTimeSeriesRequest.Builder | Request message for
 TensorboardService.ListTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.ListTensorboardTimeSeriesResponse | Response message for
 TensorboardService.ListTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.ListTensorboardTimeSeriesResponse.Builder | Response message for
 TensorboardService.ListTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.ListTensorboardsRequest | Request message for
 TensorboardService.ListTensorboards. | 
| com.google.cloud.aiplatform.v1.ListTensorboardsRequest.Builder | Request message for
 TensorboardService.ListTensorboards. | 
| com.google.cloud.aiplatform.v1.ListTensorboardsResponse | Response message for
 TensorboardService.ListTensorboards. | 
| com.google.cloud.aiplatform.v1.ListTensorboardsResponse.Builder | Response message for
 TensorboardService.ListTensorboards. | 
| com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest | Request message for
 PipelineService.ListTrainingPipelines. | 
| com.google.cloud.aiplatform.v1.ListTrainingPipelinesRequest.Builder | Request message for
 PipelineService.ListTrainingPipelines. | 
| com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse | Response message for
 PipelineService.ListTrainingPipelines | 
| com.google.cloud.aiplatform.v1.ListTrainingPipelinesResponse.Builder | Response message for
 PipelineService.ListTrainingPipelines | 
| com.google.cloud.aiplatform.v1.ListTrialsRequest | Request message for
 VizierService.ListTrials. | 
| com.google.cloud.aiplatform.v1.ListTrialsRequest.Builder | Request message for
 VizierService.ListTrials. | 
| com.google.cloud.aiplatform.v1.ListTrialsResponse | Response message for
 VizierService.ListTrials. | 
| com.google.cloud.aiplatform.v1.ListTrialsResponse.Builder | Response message for
 VizierService.ListTrials. | 
| com.google.cloud.aiplatform.v1.ListTuningJobsRequest | Request message for
 GenAiTuningService.ListTuningJobs. | 
| com.google.cloud.aiplatform.v1.ListTuningJobsRequest.Builder | Request message for
 GenAiTuningService.ListTuningJobs. | 
| com.google.cloud.aiplatform.v1.ListTuningJobsResponse | Response message for
 GenAiTuningService.ListTuningJobs | 
| com.google.cloud.aiplatform.v1.ListTuningJobsResponse.Builder | Response message for
 GenAiTuningService.ListTuningJobs | 
| com.google.cloud.aiplatform.v1.LlmUtilityServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.LlmUtilityServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.LlmUtilityServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.LlmUtilityServiceGrpc | Service for LLM related utility functions. | 
| com.google.cloud.aiplatform.v1.LlmUtilityServiceGrpc.LlmUtilityServiceImplBase | Base class for the server implementation of the service LlmUtilityService.
 Service for LLM related utility functions. | 
| com.google.cloud.aiplatform.v1.LlmUtilityServiceProto |  | 
| com.google.cloud.aiplatform.v1.LlmUtilityServiceSettings.Builder | Builder for LlmUtilityServiceSettings. | 
| com.google.cloud.aiplatform.v1.LocationName |  | 
| com.google.cloud.aiplatform.v1.LocationName.Builder | Builder for projects/{project}/locations/{location}. | 
| com.google.cloud.aiplatform.v1.LogprobsResult | Logprobs Result | 
| com.google.cloud.aiplatform.v1.LogprobsResult.Builder | Logprobs Result | 
| com.google.cloud.aiplatform.v1.LogprobsResult.Candidate | Candidate for the logprobs token and score. | 
| com.google.cloud.aiplatform.v1.LogprobsResult.Candidate.Builder | Candidate for the logprobs token and score. | 
| com.google.cloud.aiplatform.v1.LogprobsResult.TopCandidates | Candidates with top log probabilities at each decoding step. | 
| com.google.cloud.aiplatform.v1.LogprobsResult.TopCandidates.Builder | Candidates with top log probabilities at each decoding step. | 
| com.google.cloud.aiplatform.v1.LookupStudyRequest | Request message for
 VizierService.LookupStudy. | 
| com.google.cloud.aiplatform.v1.LookupStudyRequest.Builder | Request message for
 VizierService.LookupStudy. | 
| com.google.cloud.aiplatform.v1.MachineResourcesProto |  | 
| com.google.cloud.aiplatform.v1.MachineSpec | Specification of a single machine. | 
| com.google.cloud.aiplatform.v1.MachineSpec.Builder | Specification of a single machine. | 
| com.google.cloud.aiplatform.v1.ManualBatchTuningParameters | Manual batch tuning parameters. | 
| com.google.cloud.aiplatform.v1.ManualBatchTuningParameters.Builder | Manual batch tuning parameters. | 
| com.google.cloud.aiplatform.v1.ManualBatchTuningParametersProto |  | 
| com.google.cloud.aiplatform.v1.MatchServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.MatchServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.MatchServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.MatchServiceGrpc | MatchService is a Google managed service for efficient vector similarity
 search at scale. | 
| com.google.cloud.aiplatform.v1.MatchServiceGrpc.MatchServiceImplBase | Base class for the server implementation of the service MatchService.
 MatchService is a Google managed service for efficient vector similarity | 
| com.google.cloud.aiplatform.v1.MatchServiceProto |  | 
| com.google.cloud.aiplatform.v1.MatchServiceSettings.Builder | Builder for MatchServiceSettings. | 
| com.google.cloud.aiplatform.v1.Measurement | A message representing a Measurement of a Trial. A Measurement contains
 the Metrics got by executing a Trial using suggested hyperparameter
 values. | 
| com.google.cloud.aiplatform.v1.Measurement.Builder | A message representing a Measurement of a Trial. A Measurement contains
 the Metrics got by executing a Trial using suggested hyperparameter
 values. | 
| com.google.cloud.aiplatform.v1.Measurement.Metric | A message representing a metric in the measurement. | 
| com.google.cloud.aiplatform.v1.Measurement.Metric.Builder | A message representing a metric in the measurement. | 
| com.google.cloud.aiplatform.v1.MergeVersionAliasesRequest | Request message for
 ModelService.MergeVersionAliases. | 
| com.google.cloud.aiplatform.v1.MergeVersionAliasesRequest.Builder | Request message for
 ModelService.MergeVersionAliases. | 
| com.google.cloud.aiplatform.v1.MetadataProto |  | 
| com.google.cloud.aiplatform.v1.MetadataSchema | Instance of a general MetadataSchema. | 
| com.google.cloud.aiplatform.v1.MetadataSchema.Builder | Instance of a general MetadataSchema. | 
| com.google.cloud.aiplatform.v1.MetadataSchemaName |  | 
| com.google.cloud.aiplatform.v1.MetadataSchemaName.Builder | Builder for
 projects/{project}/locations/{location}/metadataStores/{metadata_store}/metadataSchemas/{metadata_schema}. | 
| com.google.cloud.aiplatform.v1.MetadataSchemaProto |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListArtifactsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListArtifactsPage |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListArtifactsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListContextsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListContextsPage |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListContextsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListExecutionsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListExecutionsPage |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListExecutionsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListMetadataSchemasFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListMetadataSchemasPage |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListMetadataSchemasPagedResponse |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListMetadataStoresFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListMetadataStoresPage |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceClient.ListMetadataStoresPagedResponse |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceGrpc | Service for reading and writing metadata entries. | 
| com.google.cloud.aiplatform.v1.MetadataServiceGrpc.MetadataServiceImplBase | Base class for the server implementation of the service MetadataService.
 Service for reading and writing metadata entries. | 
| com.google.cloud.aiplatform.v1.MetadataServiceProto |  | 
| com.google.cloud.aiplatform.v1.MetadataServiceSettings.Builder | Builder for MetadataServiceSettings. | 
| com.google.cloud.aiplatform.v1.MetadataStore | Instance of a metadata store. Contains a set of metadata that can be
 queried. | 
| com.google.cloud.aiplatform.v1.MetadataStore.Builder | Instance of a metadata store. Contains a set of metadata that can be
 queried. | 
| com.google.cloud.aiplatform.v1.MetadataStore.DataplexConfig | Represents Dataplex integration settings. | 
| com.google.cloud.aiplatform.v1.MetadataStore.DataplexConfig.Builder | Represents Dataplex integration settings. | 
| com.google.cloud.aiplatform.v1.MetadataStore.MetadataStoreState | Represents state information for a MetadataStore. | 
| com.google.cloud.aiplatform.v1.MetadataStore.MetadataStoreState.Builder | Represents state information for a MetadataStore. | 
| com.google.cloud.aiplatform.v1.MetadataStoreName |  | 
| com.google.cloud.aiplatform.v1.MetadataStoreName.Builder | Builder for projects/{project}/locations/{location}/metadataStores/{metadata_store}. | 
| com.google.cloud.aiplatform.v1.MetricxInput | Input for MetricX metric. | 
| com.google.cloud.aiplatform.v1.MetricxInput.Builder | Input for MetricX metric. | 
| com.google.cloud.aiplatform.v1.MetricxInstance | Spec for MetricX instance - The fields used for evaluation are dependent on
 the MetricX version. | 
| com.google.cloud.aiplatform.v1.MetricxInstance.Builder | Spec for MetricX instance - The fields used for evaluation are dependent on
 the MetricX version. | 
| com.google.cloud.aiplatform.v1.MetricxResult | Spec for MetricX result - calculates the MetricX score for the given instance
 using the version specified in the spec. | 
| com.google.cloud.aiplatform.v1.MetricxResult.Builder | Spec for MetricX result - calculates the MetricX score for the given instance
 using the version specified in the spec. | 
| com.google.cloud.aiplatform.v1.MetricxSpec | Spec for MetricX metric. | 
| com.google.cloud.aiplatform.v1.MetricxSpec.Builder | Spec for MetricX metric. | 
| com.google.cloud.aiplatform.v1.MigratableResource | Represents one resource that exists in automl.googleapis.com,
 datalabeling.googleapis.com or ml.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset | Represents one Dataset in automl.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.AutomlDataset.Builder | Represents one Dataset in automl.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel | Represents one Model in automl.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.AutomlModel.Builder | Represents one Model in automl.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.Builder | Represents one resource that exists in automl.googleapis.com,
 datalabeling.googleapis.com or ml.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset | Represents one Dataset in datalabeling.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.Builder | Represents one Dataset in datalabeling.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset | Represents one AnnotatedDataset in datalabeling.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset.Builder | Represents one AnnotatedDataset in datalabeling.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion | Represents one model Version in ml.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResource.MlEngineModelVersion.Builder | Represents one model Version in ml.googleapis.com. | 
| com.google.cloud.aiplatform.v1.MigratableResourceProto |  | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest | Config of migrating one resource from automl.googleapis.com,
 datalabeling.googleapis.com and ml.googleapis.com to Vertex AI. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.Builder | Config of migrating one resource from automl.googleapis.com,
 datalabeling.googleapis.com and ml.googleapis.com to Vertex AI. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig | Config for migrating Dataset in automl.googleapis.com to Vertex AI's
 Dataset. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig.Builder | Config for migrating Dataset in automl.googleapis.com to Vertex AI's
 Dataset. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig | Config for migrating Model in automl.googleapis.com to Vertex AI's Model. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig.Builder | Config for migrating Model in automl.googleapis.com to Vertex AI's Model. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig | Config for migrating Dataset in datalabeling.googleapis.com to Vertex
 AI's Dataset. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.Builder | Config for migrating Dataset in datalabeling.googleapis.com to Vertex
 AI's Dataset. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig | Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
 Vertex AI's SavedQuery. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig.Builder | Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
 Vertex AI's SavedQuery. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig | Config for migrating version in ml.googleapis.com to Vertex AI's Model. | 
| com.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig.Builder | Config for migrating version in ml.googleapis.com to Vertex AI's Model. | 
| com.google.cloud.aiplatform.v1.MigrateResourceResponse | Describes a successfully migrated resource. | 
| com.google.cloud.aiplatform.v1.MigrateResourceResponse.Builder | Describes a successfully migrated resource. | 
| com.google.cloud.aiplatform.v1.MigrationServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.MigrationServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.MigrationServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.MigrationServiceClient.SearchMigratableResourcesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.MigrationServiceClient.SearchMigratableResourcesPage |  | 
| com.google.cloud.aiplatform.v1.MigrationServiceClient.SearchMigratableResourcesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.MigrationServiceGrpc | A service that migrates resources from automl.googleapis.com,
 datalabeling.googleapis.com and ml.googleapis.com to Vertex AI. | 
| com.google.cloud.aiplatform.v1.MigrationServiceGrpc.MigrationServiceImplBase | Base class for the server implementation of the service MigrationService.
 A service that migrates resources from automl.googleapis.com, | 
| com.google.cloud.aiplatform.v1.MigrationServiceProto |  | 
| com.google.cloud.aiplatform.v1.MigrationServiceSettings.Builder | Builder for MigrationServiceSettings. | 
| com.google.cloud.aiplatform.v1.ModalityTokenCount | Represents token counting info for a single modality. | 
| com.google.cloud.aiplatform.v1.ModalityTokenCount.Builder | Represents token counting info for a single modality. | 
| com.google.cloud.aiplatform.v1.Model | A trained machine learning Model. | 
| com.google.cloud.aiplatform.v1.Model.BaseModelSource | User input field to specify the base model source. Currently it only
 supports specifing the Model Garden models and Genie models. | 
| com.google.cloud.aiplatform.v1.Model.BaseModelSource.Builder | User input field to specify the base model source. Currently it only
 supports specifing the Model Garden models and Genie models. | 
| com.google.cloud.aiplatform.v1.Model.Builder | A trained machine learning Model. | 
| com.google.cloud.aiplatform.v1.Model.DataStats | Stats of data used for train or evaluate the Model. | 
| com.google.cloud.aiplatform.v1.Model.DataStats.Builder | Stats of data used for train or evaluate the Model. | 
| com.google.cloud.aiplatform.v1.Model.ExportFormat | Represents export format supported by the Model.
 All formats export to Google Cloud Storage. | 
| com.google.cloud.aiplatform.v1.Model.ExportFormat.Builder | Represents export format supported by the Model.
 All formats export to Google Cloud Storage. | 
| com.google.cloud.aiplatform.v1.Model.OriginalModelInfo | Contains information about the original Model if this Model is a copy. | 
| com.google.cloud.aiplatform.v1.Model.OriginalModelInfo.Builder | Contains information about the original Model if this Model is a copy. | 
| com.google.cloud.aiplatform.v1.ModelArmorConfig | Configuration for Model Armor integrations of prompt and responses. | 
| com.google.cloud.aiplatform.v1.ModelArmorConfig.Builder | Configuration for Model Armor integrations of prompt and responses. | 
| com.google.cloud.aiplatform.v1.ModelContainerSpec | Specification of a container for serving predictions. Some fields in this
 message correspond to fields in the Kubernetes Container v1 core
 specification. | 
| com.google.cloud.aiplatform.v1.ModelContainerSpec.Builder | Specification of a container for serving predictions. Some fields in this
 message correspond to fields in the Kubernetes Container v1 core
 specification. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable | ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name
 as well as some information of the logs stored in this table. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable.Builder | ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name
 as well as some information of the logs stored in this table. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob | Represents a job that runs periodically to monitor the deployed models in an
 endpoint. It will analyze the logged training & prediction data to detect any
 abnormal behaviors. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.Builder | Represents a job that runs periodically to monitor the deployed models in an
 endpoint. It will analyze the logged training & prediction data to detect any
 abnormal behaviors. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata | All metadata of most recent monitoring pipelines. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.Builder | All metadata of most recent monitoring pipelines. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJobName |  | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJobName.Builder | Builder for
 projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJobProto |  | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig | ModelDeploymentMonitoringObjectiveConfig contains the pair of
 deployed_model_id to ModelMonitoringObjectiveConfig. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig.Builder | ModelDeploymentMonitoringObjectiveConfig contains the pair of
 deployed_model_id to ModelMonitoringObjectiveConfig. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig | The config for scheduling monitoring job. | 
| com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.Builder | The config for scheduling monitoring job. | 
| com.google.cloud.aiplatform.v1.ModelEvaluation | A collection of metrics calculated by comparing Model's predictions on all of
 the test data against annotations from the test data. | 
| com.google.cloud.aiplatform.v1.ModelEvaluation.Builder | A collection of metrics calculated by comparing Model's predictions on all of
 the test data against annotations from the test data. | 
| com.google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec | Protobuf type google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec | 
| com.google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder | Protobuf type 
 google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec | 
| com.google.cloud.aiplatform.v1.ModelEvaluationName |  | 
| com.google.cloud.aiplatform.v1.ModelEvaluationName.Builder | Builder for projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationProto |  | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice | A collection of metrics calculated by comparing Model's predictions on a
 slice of the test data against ground truth annotations. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Builder | A collection of metrics calculated by comparing Model's predictions on a
 slice of the test data against ground truth annotations. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice | Definition of a slice. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.Builder | Definition of a slice. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.SliceSpec | Specification for how the data should be sliced. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.SliceSpec.Builder | Specification for how the data should be sliced. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.SliceSpec.Range | A range of values for slice(s). lowis inclusive,highis exclusive. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.SliceSpec.Range.Builder | A range of values for slice(s). lowis inclusive,highis exclusive. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig | Specification message containing the config for this SliceSpec.
 When kindis selected asvalueand/orrange, only a single slice
 will be computed. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig.Builder | Specification message containing the config for this SliceSpec.
 When kindis selected asvalueand/orrange, only a single slice
 will be computed. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.SliceSpec.Value | Single value that supports strings and floats. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.SliceSpec.Value.Builder | Single value that supports strings and floats. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSliceName |  | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSliceName.Builder | Builder for
 projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}. | 
| com.google.cloud.aiplatform.v1.ModelEvaluationSliceProto |  | 
| com.google.cloud.aiplatform.v1.ModelExplanation | Aggregated explanation metrics for a Model over a set of instances. | 
| com.google.cloud.aiplatform.v1.ModelExplanation.Builder | Aggregated explanation metrics for a Model over a set of instances. | 
| com.google.cloud.aiplatform.v1.ModelGardenServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ModelGardenServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.ModelGardenServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ModelGardenServiceGrpc | The interface of Model Garden Service. | 
| com.google.cloud.aiplatform.v1.ModelGardenServiceGrpc.ModelGardenServiceImplBase | Base class for the server implementation of the service ModelGardenService.
 The interface of Model Garden Service. | 
| com.google.cloud.aiplatform.v1.ModelGardenServiceProto |  | 
| com.google.cloud.aiplatform.v1.ModelGardenServiceSettings.Builder | Builder for ModelGardenServiceSettings. | 
| com.google.cloud.aiplatform.v1.ModelGardenSource | Contains information about the source of the models generated from Model
 Garden. | 
| com.google.cloud.aiplatform.v1.ModelGardenSource.Builder | Contains information about the source of the models generated from Model
 Garden. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringAlertConfig | The alert config for model monitoring. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringAlertConfig.Builder | The alert config for model monitoring. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringAlertConfig.EmailAlertConfig | The config for email alert. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringAlertConfig.EmailAlertConfig.Builder | The config for email alert. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig | The objective configuration for model monitoring, including the information
 needed to detect anomalies for one particular model. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.Builder | The objective configuration for model monitoring, including the information
 needed to detect anomalies for one particular model. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig | The config for integrating with Vertex Explainable AI. Only applicable if
 the Model has explanation_spec populated. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.Builder | The config for integrating with Vertex Explainable AI. Only applicable if
 the Model has explanation_spec populated. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline | Output from
 BatchPredictionJob for
 Model Monitoring baseline dataset, which can be used to generate baseline | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder | Output from
 BatchPredictionJob for
 Model Monitoring baseline dataset, which can be used to generate baseline | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig | The config for Prediction data drift detection. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder | The config for Prediction data drift detection. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset | Training Dataset information. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset.Builder | Training Dataset information. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig | The config for Training & Prediction data skew detection. It specifies the
 training dataset sources and the skew detection parameters. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder | The config for Training & Prediction data skew detection. It specifies the
 training dataset sources and the skew detection parameters. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringProto |  | 
| com.google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies | Statistics and anomalies generated by Model Monitoring. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.Builder | Statistics and anomalies generated by Model Monitoring. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies | Historical Stats (and Anomalies) for a specific Feature. | 
| com.google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder | Historical Stats (and Anomalies) for a specific Feature. | 
| com.google.cloud.aiplatform.v1.ModelName |  | 
| com.google.cloud.aiplatform.v1.ModelName.Builder | Builder for projects/{project}/locations/{location}/models/{model}. | 
| com.google.cloud.aiplatform.v1.ModelProto |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationSlicesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationSlicesPage |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationSlicesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationsPage |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelEvaluationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelVersionCheckpointsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelVersionCheckpointsPage |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelVersionCheckpointsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelVersionsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelVersionsPage |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelVersionsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelsPage |  | 
| com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ModelServiceGrpc | A service for managing Vertex AI's machine learning Models. | 
| com.google.cloud.aiplatform.v1.ModelServiceGrpc.ModelServiceImplBase | Base class for the server implementation of the service ModelService.
 A service for managing Vertex AI's machine learning Models. | 
| com.google.cloud.aiplatform.v1.ModelServiceProto |  | 
| com.google.cloud.aiplatform.v1.ModelServiceSettings.Builder | Builder for ModelServiceSettings. | 
| com.google.cloud.aiplatform.v1.ModelSourceInfo | Detail description of the source information of the model. | 
| com.google.cloud.aiplatform.v1.ModelSourceInfo.Builder | Detail description of the source information of the model. | 
| com.google.cloud.aiplatform.v1.ModelVersionCheckpoint | A proto representation of a Spanner-stored ModelVersionCheckpoint.
 The meaning of the fields is equivalent to their in-Spanner counterparts. | 
| com.google.cloud.aiplatform.v1.ModelVersionCheckpoint.Builder | A proto representation of a Spanner-stored ModelVersionCheckpoint.
 The meaning of the fields is equivalent to their in-Spanner counterparts. | 
| com.google.cloud.aiplatform.v1.MutateDeployedIndexOperationMetadata | Runtime operation information for
 IndexEndpointService.MutateDeployedIndex. | 
| com.google.cloud.aiplatform.v1.MutateDeployedIndexOperationMetadata.Builder | Runtime operation information for
 IndexEndpointService.MutateDeployedIndex. | 
| com.google.cloud.aiplatform.v1.MutateDeployedIndexRequest | Request message for
 IndexEndpointService.MutateDeployedIndex. | 
| com.google.cloud.aiplatform.v1.MutateDeployedIndexRequest.Builder | Request message for
 IndexEndpointService.MutateDeployedIndex. | 
| com.google.cloud.aiplatform.v1.MutateDeployedIndexResponse | Response message for
 IndexEndpointService.MutateDeployedIndex. | 
| com.google.cloud.aiplatform.v1.MutateDeployedIndexResponse.Builder | Response message for
 IndexEndpointService.MutateDeployedIndex. | 
| com.google.cloud.aiplatform.v1.MutateDeployedModelOperationMetadata | Runtime operation information for
 EndpointService.MutateDeployedModel. | 
| com.google.cloud.aiplatform.v1.MutateDeployedModelOperationMetadata.Builder | Runtime operation information for
 EndpointService.MutateDeployedModel. | 
| com.google.cloud.aiplatform.v1.MutateDeployedModelRequest | Request message for
 EndpointService.MutateDeployedModel. | 
| com.google.cloud.aiplatform.v1.MutateDeployedModelRequest.Builder | Request message for
 EndpointService.MutateDeployedModel. | 
| com.google.cloud.aiplatform.v1.MutateDeployedModelResponse | Response message for
 EndpointService.MutateDeployedModel. | 
| com.google.cloud.aiplatform.v1.MutateDeployedModelResponse.Builder | Response message for
 EndpointService.MutateDeployedModel. | 
| com.google.cloud.aiplatform.v1.NasJob | Represents a Neural Architecture Search (NAS) job. | 
| com.google.cloud.aiplatform.v1.NasJob.Builder | Represents a Neural Architecture Search (NAS) job. | 
| com.google.cloud.aiplatform.v1.NasJobName |  | 
| com.google.cloud.aiplatform.v1.NasJobName.Builder | Builder for projects/{project}/locations/{location}/nasJobs/{nas_job}. | 
| com.google.cloud.aiplatform.v1.NasJobOutput | Represents a uCAIP NasJob output. | 
| com.google.cloud.aiplatform.v1.NasJobOutput.Builder | Represents a uCAIP NasJob output. | 
| com.google.cloud.aiplatform.v1.NasJobOutput.MultiTrialJobOutput | The output of a multi-trial Neural Architecture Search (NAS) jobs. | 
| com.google.cloud.aiplatform.v1.NasJobOutput.MultiTrialJobOutput.Builder | The output of a multi-trial Neural Architecture Search (NAS) jobs. | 
| com.google.cloud.aiplatform.v1.NasJobProto |  | 
| com.google.cloud.aiplatform.v1.NasJobSpec | Represents the spec of a NasJob. | 
| com.google.cloud.aiplatform.v1.NasJobSpec.Builder | Represents the spec of a NasJob. | 
| com.google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec | The spec of multi-trial Neural Architecture Search (NAS). | 
| com.google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.Builder | The spec of multi-trial Neural Architecture Search (NAS). | 
| com.google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec | Represents a metric to optimize. | 
| com.google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec.Builder | Represents a metric to optimize. | 
| com.google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec | Represent spec for search trials. | 
| com.google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec.Builder | Represent spec for search trials. | 
| com.google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec | Represent spec for train trials. | 
| com.google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder | Represent spec for train trials. | 
| com.google.cloud.aiplatform.v1.NasTrial | Represents a uCAIP NasJob trial. | 
| com.google.cloud.aiplatform.v1.NasTrial.Builder | Represents a uCAIP NasJob trial. | 
| com.google.cloud.aiplatform.v1.NasTrialDetail | Represents a NasTrial details along with its parameters. If there is a
 corresponding train NasTrial, the train NasTrial is also returned. | 
| com.google.cloud.aiplatform.v1.NasTrialDetail.Builder | Represents a NasTrial details along with its parameters. If there is a
 corresponding train NasTrial, the train NasTrial is also returned. | 
| com.google.cloud.aiplatform.v1.NasTrialDetailName |  | 
| com.google.cloud.aiplatform.v1.NasTrialDetailName.Builder | Builder for
 projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}. | 
| com.google.cloud.aiplatform.v1.NearestNeighborQuery | A query to find a number of similar entities. | 
| com.google.cloud.aiplatform.v1.NearestNeighborQuery.Builder | A query to find a number of similar entities. | 
| com.google.cloud.aiplatform.v1.NearestNeighborQuery.Embedding | The embedding vector. | 
| com.google.cloud.aiplatform.v1.NearestNeighborQuery.Embedding.Builder | The embedding vector. | 
| com.google.cloud.aiplatform.v1.NearestNeighborQuery.NumericFilter | Numeric filter is used to search a subset of the entities by using boolean
 rules on numeric columns.
 For example: | 
| com.google.cloud.aiplatform.v1.NearestNeighborQuery.NumericFilter.Builder | Numeric filter is used to search a subset of the entities by using boolean
 rules on numeric columns.
 For example: | 
| com.google.cloud.aiplatform.v1.NearestNeighborQuery.Parameters | Parameters that can be overrided in each query to tune query latency and
 recall. | 
| com.google.cloud.aiplatform.v1.NearestNeighborQuery.Parameters.Builder | Parameters that can be overrided in each query to tune query latency and
 recall. | 
| com.google.cloud.aiplatform.v1.NearestNeighborQuery.StringFilter | String filter is used to search a subset of the entities by using boolean
 rules on string columns.
 For example: if a query specifies string filter | 
| com.google.cloud.aiplatform.v1.NearestNeighborQuery.StringFilter.Builder | String filter is used to search a subset of the entities by using boolean
 rules on string columns.
 For example: if a query specifies string filter | 
| com.google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata | Runtime operation metadata with regard to Matching Engine Index. | 
| com.google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.Builder | Runtime operation metadata with regard to Matching Engine Index. | 
| com.google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.ContentValidationStats | Protobuf type 
 google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.ContentValidationStats | 
| com.google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.ContentValidationStats.Builder | Protobuf type 
 google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.ContentValidationStats | 
| com.google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.RecordError | Protobuf type 
 google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.RecordError | 
| com.google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.RecordError.Builder | Protobuf type 
 google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.RecordError | 
| com.google.cloud.aiplatform.v1.NearestNeighbors | Nearest neighbors for one query. | 
| com.google.cloud.aiplatform.v1.NearestNeighbors.Builder | Nearest neighbors for one query. | 
| com.google.cloud.aiplatform.v1.NearestNeighbors.Neighbor | A neighbor of the query vector. | 
| com.google.cloud.aiplatform.v1.NearestNeighbors.Neighbor.Builder | A neighbor of the query vector. | 
| com.google.cloud.aiplatform.v1.Neighbor | Neighbors for example-based explanations. | 
| com.google.cloud.aiplatform.v1.Neighbor.Builder | Neighbors for example-based explanations. | 
| com.google.cloud.aiplatform.v1.NetworkSpec | Network spec. | 
| com.google.cloud.aiplatform.v1.NetworkSpec.Builder | Network spec. | 
| com.google.cloud.aiplatform.v1.NetworkSpecProto |  | 
| com.google.cloud.aiplatform.v1.NfsMount | Represents a mount configuration for Network File System (NFS) to mount. | 
| com.google.cloud.aiplatform.v1.NfsMount.Builder | Represents a mount configuration for Network File System (NFS) to mount. | 
| com.google.cloud.aiplatform.v1.NotebookEucConfig | The euc configuration of NotebookRuntimeTemplate. | 
| com.google.cloud.aiplatform.v1.NotebookEucConfig.Builder | The euc configuration of NotebookRuntimeTemplate. | 
| com.google.cloud.aiplatform.v1.NotebookEucConfigProto |  | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob | NotebookExecutionJob represents an instance of a notebook execution. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.Builder | NotebookExecutionJob represents an instance of a notebook execution. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.CustomEnvironmentSpec | Compute configuration to use for an execution job. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.CustomEnvironmentSpec.Builder | Compute configuration to use for an execution job. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.DataformRepositorySource | The Dataform Repository containing the input notebook. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.DataformRepositorySource.Builder | The Dataform Repository containing the input notebook. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.DirectNotebookSource | The content of the input notebook in ipynb format. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.DirectNotebookSource.Builder | The content of the input notebook in ipynb format. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.GcsNotebookSource | The Cloud Storage uri for the input notebook. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.GcsNotebookSource.Builder | The Cloud Storage uri for the input notebook. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.WorkbenchRuntime | Configuration for a Workbench Instances-based environment. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJob.WorkbenchRuntime.Builder | Configuration for a Workbench Instances-based environment. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJobName |  | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJobName.Builder | Builder for
 projects/{project}/locations/{location}/notebookExecutionJobs/{notebook_execution_job}. | 
| com.google.cloud.aiplatform.v1.NotebookExecutionJobProto |  | 
| com.google.cloud.aiplatform.v1.NotebookIdleShutdownConfig | The idle shutdown configuration of NotebookRuntimeTemplate, which contains
 the idle_timeout as required field. | 
| com.google.cloud.aiplatform.v1.NotebookIdleShutdownConfig.Builder | The idle shutdown configuration of NotebookRuntimeTemplate, which contains
 the idle_timeout as required field. | 
| com.google.cloud.aiplatform.v1.NotebookIdleShutdownConfigProto |  | 
| com.google.cloud.aiplatform.v1.NotebookRuntime | A runtime is a virtual machine allocated to a particular user for a
 particular Notebook file on temporary basis with lifetime. Default runtimes
 have a lifetime of 18 hours, while custom runtimes last for 6 months from | 
| com.google.cloud.aiplatform.v1.NotebookRuntime.Builder | A runtime is a virtual machine allocated to a particular user for a
 particular Notebook file on temporary basis with lifetime. Default runtimes
 have a lifetime of 18 hours, while custom runtimes last for 6 months from | 
| com.google.cloud.aiplatform.v1.NotebookRuntimeName |  | 
| com.google.cloud.aiplatform.v1.NotebookRuntimeName.Builder | Builder for projects/{project}/locations/{location}/notebookRuntimes/{notebook_runtime}. | 
| com.google.cloud.aiplatform.v1.NotebookRuntimeProto |  | 
| com.google.cloud.aiplatform.v1.NotebookRuntimeTemplate | A template that specifies runtime configurations such as machine type,
 runtime version, network configurations, etc.
 Multiple runtimes can be created from a runtime template. | 
| com.google.cloud.aiplatform.v1.NotebookRuntimeTemplate.Builder | A template that specifies runtime configurations such as machine type,
 runtime version, network configurations, etc.
 Multiple runtimes can be created from a runtime template. | 
| com.google.cloud.aiplatform.v1.NotebookRuntimeTemplateName |  | 
| com.google.cloud.aiplatform.v1.NotebookRuntimeTemplateName.Builder | Builder for
 projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}. | 
| com.google.cloud.aiplatform.v1.NotebookRuntimeTemplateRef | Points to a NotebookRuntimeTemplateRef. | 
| com.google.cloud.aiplatform.v1.NotebookRuntimeTemplateRef.Builder | Points to a NotebookRuntimeTemplateRef. | 
| com.google.cloud.aiplatform.v1.NotebookRuntimeTemplateRefProto |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListNotebookExecutionJobsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListNotebookExecutionJobsPage |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListNotebookExecutionJobsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListNotebookRuntimeTemplatesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListNotebookRuntimeTemplatesPage |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListNotebookRuntimeTemplatesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListNotebookRuntimesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListNotebookRuntimesPage |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceClient.ListNotebookRuntimesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceGrpc | The interface for Vertex Notebook service (a.k.a. Colab on Workbench). | 
| com.google.cloud.aiplatform.v1.NotebookServiceGrpc.NotebookServiceImplBase | Base class for the server implementation of the service NotebookService.
 The interface for Vertex Notebook service (a.k.a. Colab on Workbench). | 
| com.google.cloud.aiplatform.v1.NotebookServiceProto |  | 
| com.google.cloud.aiplatform.v1.NotebookServiceSettings.Builder | Builder for NotebookServiceSettings. | 
| com.google.cloud.aiplatform.v1.NotebookSoftwareConfig | Notebook Software Config. This is passed to the backend when user
 makes software configurations in UI. | 
| com.google.cloud.aiplatform.v1.NotebookSoftwareConfig.Builder | Notebook Software Config. This is passed to the backend when user
 makes software configurations in UI. | 
| com.google.cloud.aiplatform.v1.NotebookSoftwareConfigProto |  | 
| com.google.cloud.aiplatform.v1.OpenApiProto |  | 
| com.google.cloud.aiplatform.v1.OperationProto |  | 
| com.google.cloud.aiplatform.v1.OutputFieldSpec | Defines a specification for a single output field. | 
| com.google.cloud.aiplatform.v1.OutputFieldSpec.Builder | Defines a specification for a single output field. | 
| com.google.cloud.aiplatform.v1.PSCAutomationConfig | PSC config that is used to automatically create PSC endpoints in the user
 projects. | 
| com.google.cloud.aiplatform.v1.PSCAutomationConfig.Builder | PSC config that is used to automatically create PSC endpoints in the user
 projects. | 
| com.google.cloud.aiplatform.v1.PairwiseMetricInput | Input for pairwise metric. | 
| com.google.cloud.aiplatform.v1.PairwiseMetricInput.Builder | Input for pairwise metric. | 
| com.google.cloud.aiplatform.v1.PairwiseMetricInstance | Pairwise metric instance. Usually one instance corresponds to one row in an
 evaluation dataset. | 
| com.google.cloud.aiplatform.v1.PairwiseMetricInstance.Builder | Pairwise metric instance. Usually one instance corresponds to one row in an
 evaluation dataset. | 
| com.google.cloud.aiplatform.v1.PairwiseMetricResult | Spec for pairwise metric result. | 
| com.google.cloud.aiplatform.v1.PairwiseMetricResult.Builder | Spec for pairwise metric result. | 
| com.google.cloud.aiplatform.v1.PairwiseMetricSpec | Spec for pairwise metric. | 
| com.google.cloud.aiplatform.v1.PairwiseMetricSpec.Builder | Spec for pairwise metric. | 
| com.google.cloud.aiplatform.v1.PairwiseQuestionAnsweringQualityInput | Input for pairwise question answering quality metric. | 
| com.google.cloud.aiplatform.v1.PairwiseQuestionAnsweringQualityInput.Builder | Input for pairwise question answering quality metric. | 
| com.google.cloud.aiplatform.v1.PairwiseQuestionAnsweringQualityInstance | Spec for pairwise question answering quality instance. | 
| com.google.cloud.aiplatform.v1.PairwiseQuestionAnsweringQualityInstance.Builder | Spec for pairwise question answering quality instance. | 
| com.google.cloud.aiplatform.v1.PairwiseQuestionAnsweringQualityResult | Spec for pairwise question answering quality result. | 
| com.google.cloud.aiplatform.v1.PairwiseQuestionAnsweringQualityResult.Builder | Spec for pairwise question answering quality result. | 
| com.google.cloud.aiplatform.v1.PairwiseQuestionAnsweringQualitySpec | Spec for pairwise question answering quality score metric. | 
| com.google.cloud.aiplatform.v1.PairwiseQuestionAnsweringQualitySpec.Builder | Spec for pairwise question answering quality score metric. | 
| com.google.cloud.aiplatform.v1.PairwiseSummarizationQualityInput | Input for pairwise summarization quality metric. | 
| com.google.cloud.aiplatform.v1.PairwiseSummarizationQualityInput.Builder | Input for pairwise summarization quality metric. | 
| com.google.cloud.aiplatform.v1.PairwiseSummarizationQualityInstance | Spec for pairwise summarization quality instance. | 
| com.google.cloud.aiplatform.v1.PairwiseSummarizationQualityInstance.Builder | Spec for pairwise summarization quality instance. | 
| com.google.cloud.aiplatform.v1.PairwiseSummarizationQualityResult | Spec for pairwise summarization quality result. | 
| com.google.cloud.aiplatform.v1.PairwiseSummarizationQualityResult.Builder | Spec for pairwise summarization quality result. | 
| com.google.cloud.aiplatform.v1.PairwiseSummarizationQualitySpec | Spec for pairwise summarization quality score metric. | 
| com.google.cloud.aiplatform.v1.PairwiseSummarizationQualitySpec.Builder | Spec for pairwise summarization quality score metric. | 
| com.google.cloud.aiplatform.v1.Part | A datatype containing media that is part of a multi-part Contentmessage.
 APartconsists of data which has an associated datatype. APartcan only | 
| com.google.cloud.aiplatform.v1.Part.Builder | A datatype containing media that is part of a multi-part Contentmessage.
 APartconsists of data which has an associated datatype. APartcan only | 
| com.google.cloud.aiplatform.v1.PauseModelDeploymentMonitoringJobRequest | Request message for
 JobService.PauseModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.PauseModelDeploymentMonitoringJobRequest.Builder | Request message for
 JobService.PauseModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.PauseScheduleRequest | Request message for
 ScheduleService.PauseSchedule. | 
| com.google.cloud.aiplatform.v1.PauseScheduleRequest.Builder | Request message for
 ScheduleService.PauseSchedule. | 
| com.google.cloud.aiplatform.v1.PersistentDiskSpec | Represents the spec of persistent
 disk options. | 
| com.google.cloud.aiplatform.v1.PersistentDiskSpec.Builder | Represents the spec of persistent
 disk options. | 
| com.google.cloud.aiplatform.v1.PersistentResource | Represents long-lasting resources that are dedicated to users to runs custom
 workloads.
 A PersistentResource can have multiple node pools and each node | 
| com.google.cloud.aiplatform.v1.PersistentResource.Builder | Represents long-lasting resources that are dedicated to users to runs custom
 workloads.
 A PersistentResource can have multiple node pools and each node | 
| com.google.cloud.aiplatform.v1.PersistentResourceName |  | 
| com.google.cloud.aiplatform.v1.PersistentResourceName.Builder | Builder for projects/{project}/locations/{location}/persistentResources/{persistent_resource}. | 
| com.google.cloud.aiplatform.v1.PersistentResourceProto |  | 
| com.google.cloud.aiplatform.v1.PersistentResourceServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.PersistentResourceServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.PersistentResourceServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.PersistentResourceServiceClient.ListPersistentResourcesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.PersistentResourceServiceClient.ListPersistentResourcesPage |  | 
| com.google.cloud.aiplatform.v1.PersistentResourceServiceClient.ListPersistentResourcesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.PersistentResourceServiceGrpc | A service for managing Vertex AI's machine learning PersistentResource. | 
| com.google.cloud.aiplatform.v1.PersistentResourceServiceGrpc.PersistentResourceServiceImplBase | Base class for the server implementation of the service PersistentResourceService.
 A service for managing Vertex AI's machine learning PersistentResource. | 
| com.google.cloud.aiplatform.v1.PersistentResourceServiceProto |  | 
| com.google.cloud.aiplatform.v1.PersistentResourceServiceSettings.Builder | Builder for PersistentResourceServiceSettings. | 
| com.google.cloud.aiplatform.v1.Pipeline |  | 
| com.google.cloud.aiplatform.v1.PipelineFailurePolicyProto |  | 
| com.google.cloud.aiplatform.v1.PipelineJob | An instance of a machine learning PipelineJob. | 
| com.google.cloud.aiplatform.v1.PipelineJob.Builder | An instance of a machine learning PipelineJob. | 
| com.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig | The runtime config of a PipelineJob. | 
| com.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.Builder | The runtime config of a PipelineJob. | 
| com.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.InputArtifact | The type of an input artifact. | 
| com.google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.InputArtifact.Builder | The type of an input artifact. | 
| com.google.cloud.aiplatform.v1.PipelineJobDetail | The runtime detail of PipelineJob. | 
| com.google.cloud.aiplatform.v1.PipelineJobDetail.Builder | The runtime detail of PipelineJob. | 
| com.google.cloud.aiplatform.v1.PipelineJobName |  | 
| com.google.cloud.aiplatform.v1.PipelineJobName.Builder | Builder for projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}. | 
| com.google.cloud.aiplatform.v1.PipelineServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.PipelineServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.PipelineServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.PipelineServiceClient.ListPipelineJobsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.PipelineServiceClient.ListPipelineJobsPage |  | 
| com.google.cloud.aiplatform.v1.PipelineServiceClient.ListPipelineJobsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.PipelineServiceClient.ListTrainingPipelinesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.PipelineServiceClient.ListTrainingPipelinesPage |  | 
| com.google.cloud.aiplatform.v1.PipelineServiceClient.ListTrainingPipelinesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.PipelineServiceGrpc | A service for creating and managing Vertex AI's pipelines. This includes both TrainingPipelineresources (used for AutoML and custom training) andPipelineJobresources (used for Vertex AI Pipelines). | 
| com.google.cloud.aiplatform.v1.PipelineServiceGrpc.PipelineServiceImplBase | Base class for the server implementation of the service PipelineService.
 A service for creating and managing Vertex AI's pipelines. This includes both | 
| com.google.cloud.aiplatform.v1.PipelineServiceProto |  | 
| com.google.cloud.aiplatform.v1.PipelineServiceSettings.Builder | Builder for PipelineServiceSettings. | 
| com.google.cloud.aiplatform.v1.PipelineStateProto |  | 
| com.google.cloud.aiplatform.v1.PipelineTaskDetail | The runtime detail of a task execution. | 
| com.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList | A list of artifact metadata. | 
| com.google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.Builder | A list of artifact metadata. | 
| com.google.cloud.aiplatform.v1.PipelineTaskDetail.Builder | The runtime detail of a task execution. | 
| com.google.cloud.aiplatform.v1.PipelineTaskDetail.PipelineTaskStatus | A single record of the task status. | 
| com.google.cloud.aiplatform.v1.PipelineTaskDetail.PipelineTaskStatus.Builder | A single record of the task status. | 
| com.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail | The runtime detail of a pipeline executor. | 
| com.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.Builder | The runtime detail of a pipeline executor. | 
| com.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail | The detail of a container execution. It contains the job names of the
 lifecycle of a container execution. | 
| com.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail.Builder | The detail of a container execution. It contains the job names of the
 lifecycle of a container execution. | 
| com.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail | The detailed info for a custom job executor. | 
| com.google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail.Builder | The detailed info for a custom job executor. | 
| com.google.cloud.aiplatform.v1.PipelineTemplateMetadata | Pipeline template metadata if
 PipelineJob.template_uri
 is from supported template registry. Currently, the only supported registry | 
| com.google.cloud.aiplatform.v1.PipelineTemplateMetadata.Builder | Pipeline template metadata if
 PipelineJob.template_uri
 is from supported template registry. Currently, the only supported registry | 
| com.google.cloud.aiplatform.v1.PointwiseMetricInput | Input for pointwise metric. | 
| com.google.cloud.aiplatform.v1.PointwiseMetricInput.Builder | Input for pointwise metric. | 
| com.google.cloud.aiplatform.v1.PointwiseMetricInstance | Pointwise metric instance. Usually one instance corresponds to one row in an
 evaluation dataset. | 
| com.google.cloud.aiplatform.v1.PointwiseMetricInstance.Builder | Pointwise metric instance. Usually one instance corresponds to one row in an
 evaluation dataset. | 
| com.google.cloud.aiplatform.v1.PointwiseMetricResult | Spec for pointwise metric result. | 
| com.google.cloud.aiplatform.v1.PointwiseMetricResult.Builder | Spec for pointwise metric result. | 
| com.google.cloud.aiplatform.v1.PointwiseMetricSpec | Spec for pointwise metric. | 
| com.google.cloud.aiplatform.v1.PointwiseMetricSpec.Builder | Spec for pointwise metric. | 
| com.google.cloud.aiplatform.v1.Port | Represents a network port in a container. | 
| com.google.cloud.aiplatform.v1.Port.Builder | Represents a network port in a container. | 
| com.google.cloud.aiplatform.v1.PostStartupScriptConfig | Post startup script config. | 
| com.google.cloud.aiplatform.v1.PostStartupScriptConfig.Builder | Post startup script config. | 
| com.google.cloud.aiplatform.v1.PreTunedModel | A pre-tuned model for continuous tuning. | 
| com.google.cloud.aiplatform.v1.PreTunedModel.Builder | A pre-tuned model for continuous tuning. | 
| com.google.cloud.aiplatform.v1.PredefinedSplit | Assigns input data to training, validation, and test sets based on the
 value of a provided key. | 
| com.google.cloud.aiplatform.v1.PredefinedSplit.Builder | Assigns input data to training, validation, and test sets based on the
 value of a provided key. | 
| com.google.cloud.aiplatform.v1.PredictRequest | Request message for
 PredictionService.Predict. | 
| com.google.cloud.aiplatform.v1.PredictRequest.Builder | Request message for
 PredictionService.Predict. | 
| com.google.cloud.aiplatform.v1.PredictRequestResponseLoggingConfig | Configuration for logging request-response to a BigQuery table. | 
| com.google.cloud.aiplatform.v1.PredictRequestResponseLoggingConfig.Builder | Configuration for logging request-response to a BigQuery table. | 
| com.google.cloud.aiplatform.v1.PredictResponse | Response message for
 PredictionService.Predict. | 
| com.google.cloud.aiplatform.v1.PredictResponse.Builder | Response message for
 PredictionService.Predict. | 
| com.google.cloud.aiplatform.v1.PredictSchemata | Contains the schemata used in Model's predictions and explanations via
 PredictionService.Predict,
 PredictionService.Explain | 
| com.google.cloud.aiplatform.v1.PredictSchemata.Builder | Contains the schemata used in Model's predictions and explanations via
 PredictionService.Predict,
 PredictionService.Explain | 
| com.google.cloud.aiplatform.v1.PredictionServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.PredictionServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.PredictionServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.PredictionServiceGrpc | A service for online predictions and explanations. | 
| com.google.cloud.aiplatform.v1.PredictionServiceGrpc.PredictionServiceImplBase | Base class for the server implementation of the service PredictionService.
 A service for online predictions and explanations. | 
| com.google.cloud.aiplatform.v1.PredictionServiceProto |  | 
| com.google.cloud.aiplatform.v1.PredictionServiceSettings.Builder | Builder for PredictionServiceSettings. | 
| com.google.cloud.aiplatform.v1.Presets | Preset configuration for example-based explanations | 
| com.google.cloud.aiplatform.v1.Presets.Builder | Preset configuration for example-based explanations | 
| com.google.cloud.aiplatform.v1.PrivateEndpoints | PrivateEndpoints proto is used to provide paths for users to send
 requests privately.
 To send request via private service access, use predict_http_uri, | 
| com.google.cloud.aiplatform.v1.PrivateEndpoints.Builder | PrivateEndpoints proto is used to provide paths for users to send
 requests privately.
 To send request via private service access, use predict_http_uri, | 
| com.google.cloud.aiplatform.v1.PrivateServiceConnectConfig | Represents configuration for private service connect. | 
| com.google.cloud.aiplatform.v1.PrivateServiceConnectConfig.Builder | Represents configuration for private service connect. | 
| com.google.cloud.aiplatform.v1.Probe | Probe describes a health check to be performed against a container to
 determine whether it is alive or ready to receive traffic. | 
| com.google.cloud.aiplatform.v1.Probe.Builder | Probe describes a health check to be performed against a container to
 determine whether it is alive or ready to receive traffic. | 
| com.google.cloud.aiplatform.v1.Probe.ExecAction | ExecAction specifies a command to execute. | 
| com.google.cloud.aiplatform.v1.Probe.ExecAction.Builder | ExecAction specifies a command to execute. | 
| com.google.cloud.aiplatform.v1.Probe.GrpcAction | GrpcAction checks the health of a container using a gRPC service. | 
| com.google.cloud.aiplatform.v1.Probe.GrpcAction.Builder | GrpcAction checks the health of a container using a gRPC service. | 
| com.google.cloud.aiplatform.v1.Probe.HttpGetAction | HttpGetAction describes an action based on HTTP Get requests. | 
| com.google.cloud.aiplatform.v1.Probe.HttpGetAction.Builder | HttpGetAction describes an action based on HTTP Get requests. | 
| com.google.cloud.aiplatform.v1.Probe.HttpHeader | HttpHeader describes a custom header to be used in HTTP probes | 
| com.google.cloud.aiplatform.v1.Probe.HttpHeader.Builder | HttpHeader describes a custom header to be used in HTTP probes | 
| com.google.cloud.aiplatform.v1.Probe.TcpSocketAction | TcpSocketAction probes the health of a container by opening a TCP socket
 connection. | 
| com.google.cloud.aiplatform.v1.Probe.TcpSocketAction.Builder | TcpSocketAction probes the health of a container by opening a TCP socket
 connection. | 
| com.google.cloud.aiplatform.v1.ProjectName |  | 
| com.google.cloud.aiplatform.v1.ProjectName.Builder | Builder for projects/{project}. | 
| com.google.cloud.aiplatform.v1.PscAutomatedEndpoints | PscAutomatedEndpoints defines the output of the forwarding rule
 automatically created by each PscAutomationConfig. | 
| com.google.cloud.aiplatform.v1.PscAutomatedEndpoints.Builder | PscAutomatedEndpoints defines the output of the forwarding rule
 automatically created by each PscAutomationConfig. | 
| com.google.cloud.aiplatform.v1.PscInterfaceConfig | Configuration for PSC-I. | 
| com.google.cloud.aiplatform.v1.PscInterfaceConfig.Builder | Configuration for PSC-I. | 
| com.google.cloud.aiplatform.v1.PublisherModel | A Model Garden Publisher Model. | 
| com.google.cloud.aiplatform.v1.PublisherModel.Builder | A Model Garden Publisher Model. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction | Actions could take on this Publisher Model. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.Builder | Actions could take on this Publisher Model. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy | Model metadata that is needed for UploadModel or
 DeployModel/CreateEndpoint requests. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.Builder | Model metadata that is needed for UploadModel or
 DeployModel/CreateEndpoint requests. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata | Metadata information about the deployment for managing deployment
 config. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata.Builder | Metadata information about the deployment for managing deployment
 config. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.DeployGke | Configurations for PublisherModel GKE deployment | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.DeployGke.Builder | Configurations for PublisherModel GKE deployment | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.OpenFineTuningPipelines | Open fine tuning pipelines. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.OpenFineTuningPipelines.Builder | Open fine tuning pipelines. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.OpenNotebooks | Open notebooks. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.OpenNotebooks.Builder | Open notebooks. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.RegionalResourceReferences | The regional resource name or the URI. Key is region, e.g.,
 us-central1, europe-west2, global, etc.. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.RegionalResourceReferences.Builder | The regional resource name or the URI. Key is region, e.g.,
 us-central1, europe-west2, global, etc.. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.ViewRestApi | Rest API docs. | 
| com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.ViewRestApi.Builder | Rest API docs. | 
| com.google.cloud.aiplatform.v1.PublisherModel.Documentation | A named piece of documentation. | 
| com.google.cloud.aiplatform.v1.PublisherModel.Documentation.Builder | A named piece of documentation. | 
| com.google.cloud.aiplatform.v1.PublisherModel.ResourceReference | Reference to a resource. | 
| com.google.cloud.aiplatform.v1.PublisherModel.ResourceReference.Builder | Reference to a resource. | 
| com.google.cloud.aiplatform.v1.PublisherModelName |  | 
| com.google.cloud.aiplatform.v1.PublisherModelName.Builder | Builder for publishers/{publisher}/models/{model}. | 
| com.google.cloud.aiplatform.v1.PublisherModelProto |  | 
| com.google.cloud.aiplatform.v1.PurgeArtifactsMetadata | Details of operations that perform
 MetadataService.PurgeArtifacts. | 
| com.google.cloud.aiplatform.v1.PurgeArtifactsMetadata.Builder | Details of operations that perform
 MetadataService.PurgeArtifacts. | 
| com.google.cloud.aiplatform.v1.PurgeArtifactsRequest | Request message for
 MetadataService.PurgeArtifacts. | 
| com.google.cloud.aiplatform.v1.PurgeArtifactsRequest.Builder | Request message for
 MetadataService.PurgeArtifacts. | 
| com.google.cloud.aiplatform.v1.PurgeArtifactsResponse | Response message for
 MetadataService.PurgeArtifacts. | 
| com.google.cloud.aiplatform.v1.PurgeArtifactsResponse.Builder | Response message for
 MetadataService.PurgeArtifacts. | 
| com.google.cloud.aiplatform.v1.PurgeContextsMetadata | Details of operations that perform
 MetadataService.PurgeContexts. | 
| com.google.cloud.aiplatform.v1.PurgeContextsMetadata.Builder | Details of operations that perform
 MetadataService.PurgeContexts. | 
| com.google.cloud.aiplatform.v1.PurgeContextsRequest | Request message for
 MetadataService.PurgeContexts. | 
| com.google.cloud.aiplatform.v1.PurgeContextsRequest.Builder | Request message for
 MetadataService.PurgeContexts. | 
| com.google.cloud.aiplatform.v1.PurgeContextsResponse | Response message for
 MetadataService.PurgeContexts. | 
| com.google.cloud.aiplatform.v1.PurgeContextsResponse.Builder | Response message for
 MetadataService.PurgeContexts. | 
| com.google.cloud.aiplatform.v1.PurgeExecutionsMetadata | Details of operations that perform
 MetadataService.PurgeExecutions. | 
| com.google.cloud.aiplatform.v1.PurgeExecutionsMetadata.Builder | Details of operations that perform
 MetadataService.PurgeExecutions. | 
| com.google.cloud.aiplatform.v1.PurgeExecutionsRequest | Request message for
 MetadataService.PurgeExecutions. | 
| com.google.cloud.aiplatform.v1.PurgeExecutionsRequest.Builder | Request message for
 MetadataService.PurgeExecutions. | 
| com.google.cloud.aiplatform.v1.PurgeExecutionsResponse | Response message for
 MetadataService.PurgeExecutions. | 
| com.google.cloud.aiplatform.v1.PurgeExecutionsResponse.Builder | Response message for
 MetadataService.PurgeExecutions. | 
| com.google.cloud.aiplatform.v1.PythonPackageSpec | The spec of a Python packaged code. | 
| com.google.cloud.aiplatform.v1.PythonPackageSpec.Builder | The spec of a Python packaged code. | 
| com.google.cloud.aiplatform.v1.QueryArtifactLineageSubgraphRequest | Request message for
 MetadataService.QueryArtifactLineageSubgraph. | 
| com.google.cloud.aiplatform.v1.QueryArtifactLineageSubgraphRequest.Builder | Request message for
 MetadataService.QueryArtifactLineageSubgraph. | 
| com.google.cloud.aiplatform.v1.QueryContextLineageSubgraphRequest | Request message for
 MetadataService.QueryContextLineageSubgraph. | 
| com.google.cloud.aiplatform.v1.QueryContextLineageSubgraphRequest.Builder | Request message for
 MetadataService.QueryContextLineageSubgraph. | 
| com.google.cloud.aiplatform.v1.QueryDeployedModelsRequest | Request message for QueryDeployedModels method. | 
| com.google.cloud.aiplatform.v1.QueryDeployedModelsRequest.Builder | Request message for QueryDeployedModels method. | 
| com.google.cloud.aiplatform.v1.QueryDeployedModelsResponse | Response message for QueryDeployedModels method. | 
| com.google.cloud.aiplatform.v1.QueryDeployedModelsResponse.Builder | Response message for QueryDeployedModels method. | 
| com.google.cloud.aiplatform.v1.QueryExecutionInputsAndOutputsRequest | Request message for
 MetadataService.QueryExecutionInputsAndOutputs. | 
| com.google.cloud.aiplatform.v1.QueryExecutionInputsAndOutputsRequest.Builder | Request message for
 MetadataService.QueryExecutionInputsAndOutputs. | 
| com.google.cloud.aiplatform.v1.QueryReasoningEngineRequest | Request message for [ReasoningEngineExecutionService.Query][]. | 
| com.google.cloud.aiplatform.v1.QueryReasoningEngineRequest.Builder | Request message for [ReasoningEngineExecutionService.Query][]. | 
| com.google.cloud.aiplatform.v1.QueryReasoningEngineResponse | Response message for [ReasoningEngineExecutionService.Query][] | 
| com.google.cloud.aiplatform.v1.QueryReasoningEngineResponse.Builder | Response message for [ReasoningEngineExecutionService.Query][] | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringCorrectnessInput | Input for question answering correctness metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringCorrectnessInput.Builder | Input for question answering correctness metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringCorrectnessInstance | Spec for question answering correctness instance. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringCorrectnessInstance.Builder | Spec for question answering correctness instance. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringCorrectnessResult | Spec for question answering correctness result. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringCorrectnessResult.Builder | Spec for question answering correctness result. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringCorrectnessSpec | Spec for question answering correctness metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringCorrectnessSpec.Builder | Spec for question answering correctness metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringHelpfulnessInput | Input for question answering helpfulness metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringHelpfulnessInput.Builder | Input for question answering helpfulness metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringHelpfulnessInstance | Spec for question answering helpfulness instance. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringHelpfulnessInstance.Builder | Spec for question answering helpfulness instance. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringHelpfulnessResult | Spec for question answering helpfulness result. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringHelpfulnessResult.Builder | Spec for question answering helpfulness result. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringHelpfulnessSpec | Spec for question answering helpfulness metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringHelpfulnessSpec.Builder | Spec for question answering helpfulness metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringQualityInput | Input for question answering quality metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringQualityInput.Builder | Input for question answering quality metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringQualityInstance | Spec for question answering quality instance. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringQualityInstance.Builder | Spec for question answering quality instance. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringQualityResult | Spec for question answering quality result. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringQualityResult.Builder | Spec for question answering quality result. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringQualitySpec | Spec for question answering quality score metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringQualitySpec.Builder | Spec for question answering quality score metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringRelevanceInput | Input for question answering relevance metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringRelevanceInput.Builder | Input for question answering relevance metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringRelevanceInstance | Spec for question answering relevance instance. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringRelevanceInstance.Builder | Spec for question answering relevance instance. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringRelevanceResult | Spec for question answering relevance result. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringRelevanceResult.Builder | Spec for question answering relevance result. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringRelevanceSpec | Spec for question answering relevance metric. | 
| com.google.cloud.aiplatform.v1.QuestionAnsweringRelevanceSpec.Builder | Spec for question answering relevance metric. | 
| com.google.cloud.aiplatform.v1.RagChunk | A RagChunk includes the content of a chunk of a RagFile, and associated
 metadata. | 
| com.google.cloud.aiplatform.v1.RagChunk.Builder | A RagChunk includes the content of a chunk of a RagFile, and associated
 metadata. | 
| com.google.cloud.aiplatform.v1.RagChunk.PageSpan | Represents where the chunk starts and ends in the document. | 
| com.google.cloud.aiplatform.v1.RagChunk.PageSpan.Builder | Represents where the chunk starts and ends in the document. | 
| com.google.cloud.aiplatform.v1.RagContexts | Relevant contexts for one query. | 
| com.google.cloud.aiplatform.v1.RagContexts.Builder | Relevant contexts for one query. | 
| com.google.cloud.aiplatform.v1.RagContexts.Context | A context of the query. | 
| com.google.cloud.aiplatform.v1.RagContexts.Context.Builder | A context of the query. | 
| com.google.cloud.aiplatform.v1.RagCorpus | A RagCorpus is a RagFile container and a project can have multiple
 RagCorpora. | 
| com.google.cloud.aiplatform.v1.RagCorpus.Builder | A RagCorpus is a RagFile container and a project can have multiple
 RagCorpora. | 
| com.google.cloud.aiplatform.v1.RagCorpusName |  | 
| com.google.cloud.aiplatform.v1.RagCorpusName.Builder | Builder for projects/{project}/locations/{location}/ragCorpora/{rag_corpus}. | 
| com.google.cloud.aiplatform.v1.RagEmbeddingModelConfig | Config for the embedding model to use for RAG. | 
| com.google.cloud.aiplatform.v1.RagEmbeddingModelConfig.Builder | Config for the embedding model to use for RAG. | 
| com.google.cloud.aiplatform.v1.RagEmbeddingModelConfig.VertexPredictionEndpoint | Config representing a model hosted on Vertex Prediction Endpoint. | 
| com.google.cloud.aiplatform.v1.RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder | Config representing a model hosted on Vertex Prediction Endpoint. | 
| com.google.cloud.aiplatform.v1.RagEngineConfig | Config for RagEngine. | 
| com.google.cloud.aiplatform.v1.RagEngineConfig.Builder | Config for RagEngine. | 
| com.google.cloud.aiplatform.v1.RagEngineConfigName |  | 
| com.google.cloud.aiplatform.v1.RagEngineConfigName.Builder | Builder for projects/{project}/locations/{location}/ragEngineConfig. | 
| com.google.cloud.aiplatform.v1.RagFile | A RagFile contains user data for chunking, embedding and indexing. | 
| com.google.cloud.aiplatform.v1.RagFile.Builder | A RagFile contains user data for chunking, embedding and indexing. | 
| com.google.cloud.aiplatform.v1.RagFileChunkingConfig | Specifies the size and overlap of chunks for RagFiles. | 
| com.google.cloud.aiplatform.v1.RagFileChunkingConfig.Builder | Specifies the size and overlap of chunks for RagFiles. | 
| com.google.cloud.aiplatform.v1.RagFileChunkingConfig.FixedLengthChunking | Specifies the fixed length chunking config. | 
| com.google.cloud.aiplatform.v1.RagFileChunkingConfig.FixedLengthChunking.Builder | Specifies the fixed length chunking config. | 
| com.google.cloud.aiplatform.v1.RagFileName |  | 
| com.google.cloud.aiplatform.v1.RagFileName.Builder | Builder for
 projects/{project}/locations/{location}/ragCorpora/{rag_corpus}/ragFiles/{rag_file}. | 
| com.google.cloud.aiplatform.v1.RagFileParsingConfig | Specifies the parsing config for RagFiles. | 
| com.google.cloud.aiplatform.v1.RagFileParsingConfig.Builder | Specifies the parsing config for RagFiles. | 
| com.google.cloud.aiplatform.v1.RagFileParsingConfig.LayoutParser | Document AI Layout Parser config. | 
| com.google.cloud.aiplatform.v1.RagFileParsingConfig.LayoutParser.Builder | Document AI Layout Parser config. | 
| com.google.cloud.aiplatform.v1.RagFileParsingConfig.LlmParser | Specifies the advanced parsing for RagFiles. | 
| com.google.cloud.aiplatform.v1.RagFileParsingConfig.LlmParser.Builder | Specifies the advanced parsing for RagFiles. | 
| com.google.cloud.aiplatform.v1.RagFileTransformationConfig | Specifies the transformation config for RagFiles. | 
| com.google.cloud.aiplatform.v1.RagFileTransformationConfig.Builder | Specifies the transformation config for RagFiles. | 
| com.google.cloud.aiplatform.v1.RagManagedDbConfig | Configuration message for RagManagedDb used by RagEngine. | 
| com.google.cloud.aiplatform.v1.RagManagedDbConfig.Basic | Basic tier is a cost-effective and low compute tier suitable for
 the following cases:
 * Experimenting with RagManagedDb. | 
| com.google.cloud.aiplatform.v1.RagManagedDbConfig.Basic.Builder | Basic tier is a cost-effective and low compute tier suitable for
 the following cases:
 * Experimenting with RagManagedDb. | 
| com.google.cloud.aiplatform.v1.RagManagedDbConfig.Builder | Configuration message for RagManagedDb used by RagEngine. | 
| com.google.cloud.aiplatform.v1.RagManagedDbConfig.Scaled | Scaled tier offers production grade performance along with
 autoscaling functionality. It is suitable for customers with large
 amounts of data or performance sensitive workloads. | 
| com.google.cloud.aiplatform.v1.RagManagedDbConfig.Scaled.Builder | Scaled tier offers production grade performance along with
 autoscaling functionality. It is suitable for customers with large
 amounts of data or performance sensitive workloads. | 
| com.google.cloud.aiplatform.v1.RagManagedDbConfig.Unprovisioned | Disables the RAG Engine service and deletes all your data held
 within this service. This will halt the billing of the service. | 
| com.google.cloud.aiplatform.v1.RagManagedDbConfig.Unprovisioned.Builder | Disables the RAG Engine service and deletes all your data held
 within this service. This will halt the billing of the service. | 
| com.google.cloud.aiplatform.v1.RagQuery | A query to retrieve relevant contexts. | 
| com.google.cloud.aiplatform.v1.RagQuery.Builder | A query to retrieve relevant contexts. | 
| com.google.cloud.aiplatform.v1.RagRetrievalConfig | Specifies the context retrieval config. | 
| com.google.cloud.aiplatform.v1.RagRetrievalConfig.Builder | Specifies the context retrieval config. | 
| com.google.cloud.aiplatform.v1.RagRetrievalConfig.Filter | Config for filters. | 
| com.google.cloud.aiplatform.v1.RagRetrievalConfig.Filter.Builder | Config for filters. | 
| com.google.cloud.aiplatform.v1.RagRetrievalConfig.Ranking | Config for ranking and reranking. | 
| com.google.cloud.aiplatform.v1.RagRetrievalConfig.Ranking.Builder | Config for ranking and reranking. | 
| com.google.cloud.aiplatform.v1.RagRetrievalConfig.Ranking.LlmRanker | Config for LlmRanker. | 
| com.google.cloud.aiplatform.v1.RagRetrievalConfig.Ranking.LlmRanker.Builder | Config for LlmRanker. | 
| com.google.cloud.aiplatform.v1.RagRetrievalConfig.Ranking.RankService | Config for Rank Service. | 
| com.google.cloud.aiplatform.v1.RagRetrievalConfig.Ranking.RankService.Builder | Config for Rank Service. | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig | Config for the Vector DB to use for RAG. | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.Builder | Config for the Vector DB to use for RAG. | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.Pinecone | The config for the Pinecone. | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.Pinecone.Builder | The config for the Pinecone. | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.RagManagedDb | The config for the default RAG-managed Vector DB. | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.RagManagedDb.ANN | Config for ANN search.
 RagManagedDb uses a tree-based structure to partition data and | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.RagManagedDb.ANN.Builder | Config for ANN search.
 RagManagedDb uses a tree-based structure to partition data and | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.RagManagedDb.Builder | The config for the default RAG-managed Vector DB. | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.RagManagedDb.KNN | Config for KNN search. | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.RagManagedDb.KNN.Builder | Config for KNN search. | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.VertexVectorSearch | The config for the Vertex Vector Search. | 
| com.google.cloud.aiplatform.v1.RagVectorDbConfig.VertexVectorSearch.Builder | The config for the Vertex Vector Search. | 
| com.google.cloud.aiplatform.v1.RawPredictRequest | Request message for
 PredictionService.RawPredict. | 
| com.google.cloud.aiplatform.v1.RawPredictRequest.Builder | Request message for
 PredictionService.RawPredict. | 
| com.google.cloud.aiplatform.v1.RayLogsSpec | Configuration for the Ray OSS Logs. | 
| com.google.cloud.aiplatform.v1.RayLogsSpec.Builder | Configuration for the Ray OSS Logs. | 
| com.google.cloud.aiplatform.v1.RayMetricSpec | Configuration for the Ray metrics. | 
| com.google.cloud.aiplatform.v1.RayMetricSpec.Builder | Configuration for the Ray metrics. | 
| com.google.cloud.aiplatform.v1.RaySpec | Configuration information for the Ray cluster.
 For experimental launch, Ray cluster creation and Persistent
 cluster creation are 1:1 mapping: We will provision all the nodes within the | 
| com.google.cloud.aiplatform.v1.RaySpec.Builder | Configuration information for the Ray cluster.
 For experimental launch, Ray cluster creation and Persistent
 cluster creation are 1:1 mapping: We will provision all the nodes within the | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesRequest | Request message for
 FeaturestoreOnlineServingService.ReadFeatureValues. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesRequest.Builder | Request message for
 FeaturestoreOnlineServingService.ReadFeatureValues. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse | Response message for
 FeaturestoreOnlineServingService.ReadFeatureValues. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.Builder | Response message for
 FeaturestoreOnlineServingService.ReadFeatureValues. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView | Entity view with Feature values. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.Builder | Entity view with Feature values. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.Data | Container to hold value(s), successive in time, for one Feature from the
 request. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.Data.Builder | Container to hold value(s), successive in time, for one Feature from the
 request. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.FeatureDescriptor | Metadata for requested Features. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.FeatureDescriptor.Builder | Metadata for requested Features. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.Header | Response header with metadata for the requested
 ReadFeatureValuesRequest.entity_type
 and Features. | 
| com.google.cloud.aiplatform.v1.ReadFeatureValuesResponse.Header.Builder | Response header with metadata for the requested
 ReadFeatureValuesRequest.entity_type
 and Features. | 
| com.google.cloud.aiplatform.v1.ReadIndexDatapointsRequest | The request message for
 MatchService.ReadIndexDatapoints. | 
| com.google.cloud.aiplatform.v1.ReadIndexDatapointsRequest.Builder | The request message for
 MatchService.ReadIndexDatapoints. | 
| com.google.cloud.aiplatform.v1.ReadIndexDatapointsResponse | The response message for
 MatchService.ReadIndexDatapoints. | 
| com.google.cloud.aiplatform.v1.ReadIndexDatapointsResponse.Builder | The response message for
 MatchService.ReadIndexDatapoints. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardBlobDataRequest | Request message for
 TensorboardService.ReadTensorboardBlobData. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardBlobDataRequest.Builder | Request message for
 TensorboardService.ReadTensorboardBlobData. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardBlobDataResponse | Response message for
 TensorboardService.ReadTensorboardBlobData. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardBlobDataResponse.Builder | Response message for
 TensorboardService.ReadTensorboardBlobData. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardSizeRequest | Request message for
 TensorboardService.ReadTensorboardSize. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardSizeRequest.Builder | Request message for
 TensorboardService.ReadTensorboardSize. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardSizeResponse | Response message for
 TensorboardService.ReadTensorboardSize. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardSizeResponse.Builder | Response message for
 TensorboardService.ReadTensorboardSize. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataRequest | Request message for
 TensorboardService.ReadTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataRequest.Builder | Request message for
 TensorboardService.ReadTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataResponse | Response message for
 TensorboardService.ReadTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardTimeSeriesDataResponse.Builder | Response message for
 TensorboardService.ReadTensorboardTimeSeriesData. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest | Request message for
 TensorboardService.ReadTensorboardUsage. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardUsageRequest.Builder | Request message for
 TensorboardService.ReadTensorboardUsage. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse | Response message for
 TensorboardService.ReadTensorboardUsage. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.Builder | Response message for
 TensorboardService.ReadTensorboardUsage. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData | Per month usage data | 
| com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData.Builder | Per month usage data | 
| com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData | Per user usage data. | 
| com.google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerUserUsageData.Builder | Per user usage data. | 
| com.google.cloud.aiplatform.v1.ReasoningEngine | ReasoningEngine provides a customizable runtime for models to determine
 which actions to take and in which order. | 
| com.google.cloud.aiplatform.v1.ReasoningEngine.Builder | ReasoningEngine provides a customizable runtime for models to determine
 which actions to take and in which order. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineExecutionServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineExecutionServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineExecutionServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineExecutionServiceGrpc | A service for executing queries on Reasoning Engine. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineExecutionServiceGrpc.ReasoningEngineExecutionServiceImplBase | Base class for the server implementation of the service ReasoningEngineExecutionService.
 A service for executing queries on Reasoning Engine. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineExecutionServiceProto |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineExecutionServiceSettings.Builder | Builder for ReasoningEngineExecutionServiceSettings. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineName |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineName.Builder | Builder for projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineProto |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineServiceClient.ListReasoningEnginesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineServiceClient.ListReasoningEnginesPage |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineServiceClient.ListReasoningEnginesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineServiceGrpc | A service for managing Vertex AI's Reasoning Engines. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineServiceGrpc.ReasoningEngineServiceImplBase | Base class for the server implementation of the service ReasoningEngineService.
 A service for managing Vertex AI's Reasoning Engines. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineServiceProto |  | 
| com.google.cloud.aiplatform.v1.ReasoningEngineServiceSettings.Builder | Builder for ReasoningEngineServiceSettings. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec | ReasoningEngine configurations | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.Builder | ReasoningEngine configurations | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.DeploymentSpec | The specification of a Reasoning Engine deployment. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.DeploymentSpec.Builder | The specification of a Reasoning Engine deployment. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.PackageSpec | User-provided package specification, containing pickled object and package
 requirements. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.PackageSpec.Builder | User-provided package specification, containing pickled object and package
 requirements. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.SourceCodeSpec | Specification for deploying from source code. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.SourceCodeSpec.Builder | Specification for deploying from source code. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.SourceCodeSpec.InlineSource | Specifies source code provided as a byte stream. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.SourceCodeSpec.InlineSource.Builder | Specifies source code provided as a byte stream. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.SourceCodeSpec.PythonSpec | Specification for running a Python application from source. | 
| com.google.cloud.aiplatform.v1.ReasoningEngineSpec.SourceCodeSpec.PythonSpec.Builder | Specification for running a Python application from source. | 
| com.google.cloud.aiplatform.v1.RebaseTunedModelOperationMetadata | Runtime operation information for
 GenAiTuningService.RebaseTunedModel. | 
| com.google.cloud.aiplatform.v1.RebaseTunedModelOperationMetadata.Builder | Runtime operation information for
 GenAiTuningService.RebaseTunedModel. | 
| com.google.cloud.aiplatform.v1.RebaseTunedModelRequest | Request message for
 GenAiTuningService.RebaseTunedModel. | 
| com.google.cloud.aiplatform.v1.RebaseTunedModelRequest.Builder | Request message for
 GenAiTuningService.RebaseTunedModel. | 
| com.google.cloud.aiplatform.v1.RebootPersistentResourceOperationMetadata | Details of operations that perform reboot PersistentResource. | 
| com.google.cloud.aiplatform.v1.RebootPersistentResourceOperationMetadata.Builder | Details of operations that perform reboot PersistentResource. | 
| com.google.cloud.aiplatform.v1.RebootPersistentResourceRequest | Request message for
 PersistentResourceService.RebootPersistentResource. | 
| com.google.cloud.aiplatform.v1.RebootPersistentResourceRequest.Builder | Request message for
 PersistentResourceService.RebootPersistentResource. | 
| com.google.cloud.aiplatform.v1.RemoveContextChildrenRequest | Request message for
 [MetadataService.DeleteContextChildrenRequest][]. | 
| com.google.cloud.aiplatform.v1.RemoveContextChildrenRequest.Builder | Request message for
 [MetadataService.DeleteContextChildrenRequest][]. | 
| com.google.cloud.aiplatform.v1.RemoveContextChildrenResponse | Response message for
 MetadataService.RemoveContextChildren. | 
| com.google.cloud.aiplatform.v1.RemoveContextChildrenResponse.Builder | Response message for
 MetadataService.RemoveContextChildren. | 
| com.google.cloud.aiplatform.v1.RemoveDatapointsRequest | Request message for
 IndexService.RemoveDatapoints | 
| com.google.cloud.aiplatform.v1.RemoveDatapointsRequest.Builder | Request message for
 IndexService.RemoveDatapoints | 
| com.google.cloud.aiplatform.v1.RemoveDatapointsResponse | Response message for
 IndexService.RemoveDatapoints | 
| com.google.cloud.aiplatform.v1.RemoveDatapointsResponse.Builder | Response message for
 IndexService.RemoveDatapoints | 
| com.google.cloud.aiplatform.v1.ReservationAffinity | 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. | 
| com.google.cloud.aiplatform.v1.ReservationAffinity.Builder | 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. | 
| com.google.cloud.aiplatform.v1.ReservationAffinityProto |  | 
| com.google.cloud.aiplatform.v1.ResourcePool | Represents the spec of a group of resources of the same type,
 for example machine type, disk, and accelerators, in a PersistentResource. | 
| com.google.cloud.aiplatform.v1.ResourcePool.AutoscalingSpec | The min/max number of replicas allowed if enabling autoscaling | 
| com.google.cloud.aiplatform.v1.ResourcePool.AutoscalingSpec.Builder | The min/max number of replicas allowed if enabling autoscaling | 
| com.google.cloud.aiplatform.v1.ResourcePool.Builder | Represents the spec of a group of resources of the same type,
 for example machine type, disk, and accelerators, in a PersistentResource. | 
| com.google.cloud.aiplatform.v1.ResourceRuntime | Persistent Cluster runtime information as output | 
| com.google.cloud.aiplatform.v1.ResourceRuntime.Builder | Persistent Cluster runtime information as output | 
| com.google.cloud.aiplatform.v1.ResourceRuntimeSpec | Configuration for the runtime on a PersistentResource instance, including
 but not limited to: | 
| com.google.cloud.aiplatform.v1.ResourceRuntimeSpec.Builder | Configuration for the runtime on a PersistentResource instance, including
 but not limited to: | 
| com.google.cloud.aiplatform.v1.ResourcesConsumed | Statistics information about resource consumption. | 
| com.google.cloud.aiplatform.v1.ResourcesConsumed.Builder | Statistics information about resource consumption. | 
| com.google.cloud.aiplatform.v1.RestoreDatasetVersionOperationMetadata | Runtime operation information for
 DatasetService.RestoreDatasetVersion. | 
| com.google.cloud.aiplatform.v1.RestoreDatasetVersionOperationMetadata.Builder | Runtime operation information for
 DatasetService.RestoreDatasetVersion. | 
| com.google.cloud.aiplatform.v1.RestoreDatasetVersionRequest | Request message for
 DatasetService.RestoreDatasetVersion. | 
| com.google.cloud.aiplatform.v1.RestoreDatasetVersionRequest.Builder | Request message for
 DatasetService.RestoreDatasetVersion. | 
| com.google.cloud.aiplatform.v1.ResumeModelDeploymentMonitoringJobRequest | Request message for
 JobService.ResumeModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.ResumeModelDeploymentMonitoringJobRequest.Builder | Request message for
 JobService.ResumeModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.ResumeScheduleRequest | Request message for
 ScheduleService.ResumeSchedule. | 
| com.google.cloud.aiplatform.v1.ResumeScheduleRequest.Builder | Request message for
 ScheduleService.ResumeSchedule. | 
| com.google.cloud.aiplatform.v1.Retrieval | Defines a retrieval tool that model can call to access external knowledge. | 
| com.google.cloud.aiplatform.v1.Retrieval.Builder | Defines a retrieval tool that model can call to access external knowledge. | 
| com.google.cloud.aiplatform.v1.RetrievalConfig | Retrieval config. | 
| com.google.cloud.aiplatform.v1.RetrievalConfig.Builder | Retrieval config. | 
| com.google.cloud.aiplatform.v1.RetrievalMetadata | Metadata related to retrieval in the grounding flow. | 
| com.google.cloud.aiplatform.v1.RetrievalMetadata.Builder | Metadata related to retrieval in the grounding flow. | 
| com.google.cloud.aiplatform.v1.RetrieveContextsRequest | Request message for
 VertexRagService.RetrieveContexts. | 
| com.google.cloud.aiplatform.v1.RetrieveContextsRequest.Builder | Request message for
 VertexRagService.RetrieveContexts. | 
| com.google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore | The data source for Vertex RagStore. | 
| com.google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore.Builder | The data source for Vertex RagStore. | 
| com.google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore.RagResource | The definition of the Rag resource. | 
| com.google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore.RagResource.Builder | The definition of the Rag resource. | 
| com.google.cloud.aiplatform.v1.RetrieveContextsResponse | Response message for
 VertexRagService.RetrieveContexts. | 
| com.google.cloud.aiplatform.v1.RetrieveContextsResponse.Builder | Response message for
 VertexRagService.RetrieveContexts. | 
| com.google.cloud.aiplatform.v1.RougeInput | Input for rouge metric. | 
| com.google.cloud.aiplatform.v1.RougeInput.Builder | Input for rouge metric. | 
| com.google.cloud.aiplatform.v1.RougeInstance | Spec for rouge instance. | 
| com.google.cloud.aiplatform.v1.RougeInstance.Builder | Spec for rouge instance. | 
| com.google.cloud.aiplatform.v1.RougeMetricValue | Rouge metric value for an instance. | 
| com.google.cloud.aiplatform.v1.RougeMetricValue.Builder | Rouge metric value for an instance. | 
| com.google.cloud.aiplatform.v1.RougeResults | Results for rouge metric. | 
| com.google.cloud.aiplatform.v1.RougeResults.Builder | Results for rouge metric. | 
| com.google.cloud.aiplatform.v1.RougeSpec | 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. | 
| com.google.cloud.aiplatform.v1.RougeSpec.Builder | 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. | 
| com.google.cloud.aiplatform.v1.SafetyInput | Input for safety metric. | 
| com.google.cloud.aiplatform.v1.SafetyInput.Builder | Input for safety metric. | 
| com.google.cloud.aiplatform.v1.SafetyInstance | Spec for safety instance. | 
| com.google.cloud.aiplatform.v1.SafetyInstance.Builder | Spec for safety instance. | 
| com.google.cloud.aiplatform.v1.SafetyRating | Safety rating corresponding to the generated content. | 
| com.google.cloud.aiplatform.v1.SafetyRating.Builder | Safety rating corresponding to the generated content. | 
| com.google.cloud.aiplatform.v1.SafetyResult | Spec for safety result. | 
| com.google.cloud.aiplatform.v1.SafetyResult.Builder | Spec for safety result. | 
| com.google.cloud.aiplatform.v1.SafetySetting | Safety settings. | 
| com.google.cloud.aiplatform.v1.SafetySetting.Builder | Safety settings. | 
| com.google.cloud.aiplatform.v1.SafetySpec | Spec for safety metric. | 
| com.google.cloud.aiplatform.v1.SafetySpec.Builder | Spec for safety metric. | 
| com.google.cloud.aiplatform.v1.SampleConfig | Active learning data sampling config. For every active learning labeling
 iteration, it will select a batch of data based on the sampling strategy. | 
| com.google.cloud.aiplatform.v1.SampleConfig.Builder | Active learning data sampling config. For every active learning labeling
 iteration, it will select a batch of data based on the sampling strategy. | 
| com.google.cloud.aiplatform.v1.SampledShapleyAttribution | An attribution method that approximates Shapley values for features that
 contribute to the label being predicted. A sampling strategy is used to
 approximate the value rather than considering all subsets of features. | 
| com.google.cloud.aiplatform.v1.SampledShapleyAttribution.Builder | An attribution method that approximates Shapley values for features that
 contribute to the label being predicted. A sampling strategy is used to
 approximate the value rather than considering all subsets of features. | 
| com.google.cloud.aiplatform.v1.SamplingStrategy | Sampling Strategy for logging, can be for both training and prediction
 dataset. | 
| com.google.cloud.aiplatform.v1.SamplingStrategy.Builder | Sampling Strategy for logging, can be for both training and prediction
 dataset. | 
| com.google.cloud.aiplatform.v1.SamplingStrategy.RandomSampleConfig | Requests are randomly selected. | 
| com.google.cloud.aiplatform.v1.SamplingStrategy.RandomSampleConfig.Builder | Requests are randomly selected. | 
| com.google.cloud.aiplatform.v1.SavedQuery | A SavedQuery is a view of the dataset. It references a subset of annotations
 by problem type and filters. | 
| com.google.cloud.aiplatform.v1.SavedQuery.Builder | A SavedQuery is a view of the dataset. It references a subset of annotations
 by problem type and filters. | 
| com.google.cloud.aiplatform.v1.SavedQueryName |  | 
| com.google.cloud.aiplatform.v1.SavedQueryName.Builder | Builder for
 projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}. | 
| com.google.cloud.aiplatform.v1.SavedQueryProto |  | 
| com.google.cloud.aiplatform.v1.Scalar | One point viewable on a scalar metric plot. | 
| com.google.cloud.aiplatform.v1.Scalar.Builder | One point viewable on a scalar metric plot. | 
| com.google.cloud.aiplatform.v1.Schedule | An instance of a Schedule periodically schedules runs to make API calls based
 on user specified time specification and API request type. | 
| com.google.cloud.aiplatform.v1.Schedule.Builder | An instance of a Schedule periodically schedules runs to make API calls based
 on user specified time specification and API request type. | 
| com.google.cloud.aiplatform.v1.Schedule.RunResponse | Status of a scheduled run. | 
| com.google.cloud.aiplatform.v1.Schedule.RunResponse.Builder | Status of a scheduled run. | 
| com.google.cloud.aiplatform.v1.ScheduleName |  | 
| com.google.cloud.aiplatform.v1.ScheduleName.Builder | Builder for projects/{project}/locations/{location}/schedules/{schedule}. | 
| com.google.cloud.aiplatform.v1.ScheduleProto |  | 
| com.google.cloud.aiplatform.v1.ScheduleServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ScheduleServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.ScheduleServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ScheduleServiceClient.ListSchedulesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.ScheduleServiceClient.ListSchedulesPage |  | 
| com.google.cloud.aiplatform.v1.ScheduleServiceClient.ListSchedulesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.ScheduleServiceGrpc | A service for creating and managing Vertex AI's Schedule resources to
 periodically launch shceudled runs to make API calls. | 
| com.google.cloud.aiplatform.v1.ScheduleServiceGrpc.ScheduleServiceImplBase | Base class for the server implementation of the service ScheduleService.
 A service for creating and managing Vertex AI's Schedule resources to | 
| com.google.cloud.aiplatform.v1.ScheduleServiceProto |  | 
| com.google.cloud.aiplatform.v1.ScheduleServiceSettings.Builder | Builder for ScheduleServiceSettings. | 
| com.google.cloud.aiplatform.v1.Scheduling | All parameters related to queuing and scheduling of custom jobs. | 
| com.google.cloud.aiplatform.v1.Scheduling.Builder | All parameters related to queuing and scheduling of custom jobs. | 
| com.google.cloud.aiplatform.v1.Schema | Schema is used to define the format of input/output data. Represents a select
 subset of an OpenAPI 3.0 schema
 object. More fields may | 
| com.google.cloud.aiplatform.v1.Schema.Builder | Schema is used to define the format of input/output data. Represents a select
 subset of an OpenAPI 3.0 schema
 object. More fields may | 
| com.google.cloud.aiplatform.v1.SearchDataItemsRequest | Request message for
 DatasetService.SearchDataItems. | 
| com.google.cloud.aiplatform.v1.SearchDataItemsRequest.Builder | Request message for
 DatasetService.SearchDataItems. | 
| com.google.cloud.aiplatform.v1.SearchDataItemsRequest.OrderByAnnotation | Expression that allows ranking results based on annotation's property. | 
| com.google.cloud.aiplatform.v1.SearchDataItemsRequest.OrderByAnnotation.Builder | Expression that allows ranking results based on annotation's property. | 
| com.google.cloud.aiplatform.v1.SearchDataItemsResponse | Response message for
 DatasetService.SearchDataItems. | 
| com.google.cloud.aiplatform.v1.SearchDataItemsResponse.Builder | Response message for
 DatasetService.SearchDataItems. | 
| com.google.cloud.aiplatform.v1.SearchEntryPoint | Google search entry point. | 
| com.google.cloud.aiplatform.v1.SearchEntryPoint.Builder | Google search entry point. | 
| com.google.cloud.aiplatform.v1.SearchFeaturesRequest | Request message for
 FeaturestoreService.SearchFeatures. | 
| com.google.cloud.aiplatform.v1.SearchFeaturesRequest.Builder | Request message for
 FeaturestoreService.SearchFeatures. | 
| com.google.cloud.aiplatform.v1.SearchFeaturesResponse | Response message for
 FeaturestoreService.SearchFeatures. | 
| com.google.cloud.aiplatform.v1.SearchFeaturesResponse.Builder | Response message for
 FeaturestoreService.SearchFeatures. | 
| com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest | Request message for
 MigrationService.SearchMigratableResources. | 
| com.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest.Builder | Request message for
 MigrationService.SearchMigratableResources. | 
| com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse | Response message for
 MigrationService.SearchMigratableResources. | 
| com.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse.Builder | Response message for
 MigrationService.SearchMigratableResources. | 
| com.google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest | Request message for
 JobService.SearchModelDeploymentMonitoringStatsAnomalies. | 
| com.google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.Builder | Request message for
 JobService.SearchModelDeploymentMonitoringStatsAnomalies. | 
| com.google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective | Stats requested for specific objective. | 
| com.google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.Builder | Stats requested for specific objective. | 
| com.google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesResponse | Response message for
 JobService.SearchModelDeploymentMonitoringStatsAnomalies. | 
| com.google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.Builder | Response message for
 JobService.SearchModelDeploymentMonitoringStatsAnomalies. | 
| com.google.cloud.aiplatform.v1.SearchNearestEntitiesRequest | The request message for
 FeatureOnlineStoreService.SearchNearestEntities. | 
| com.google.cloud.aiplatform.v1.SearchNearestEntitiesRequest.Builder | The request message for
 FeatureOnlineStoreService.SearchNearestEntities. | 
| com.google.cloud.aiplatform.v1.SearchNearestEntitiesResponse | Response message for
 FeatureOnlineStoreService.SearchNearestEntities | 
| com.google.cloud.aiplatform.v1.SearchNearestEntitiesResponse.Builder | Response message for
 FeatureOnlineStoreService.SearchNearestEntities | 
| com.google.cloud.aiplatform.v1.SecretEnvVar | Represents an environment variable where the value is a secret in Cloud
 Secret Manager. | 
| com.google.cloud.aiplatform.v1.SecretEnvVar.Builder | Represents an environment variable where the value is a secret in Cloud
 Secret Manager. | 
| com.google.cloud.aiplatform.v1.SecretRef | Reference to a secret stored in the Cloud Secret Manager that will
 provide the value for this environment variable. | 
| com.google.cloud.aiplatform.v1.SecretRef.Builder | Reference to a secret stored in the Cloud Secret Manager that will
 provide the value for this environment variable. | 
| com.google.cloud.aiplatform.v1.Segment | Segment of the content. | 
| com.google.cloud.aiplatform.v1.Segment.Builder | Segment of the content. | 
| com.google.cloud.aiplatform.v1.ServiceAccountSpec | Configuration for the use of custom service account to run the workloads. | 
| com.google.cloud.aiplatform.v1.ServiceAccountSpec.Builder | Configuration for the use of custom service account to run the workloads. | 
| com.google.cloud.aiplatform.v1.ServiceNetworkingProto |  | 
| com.google.cloud.aiplatform.v1.SharePointSources | The SharePointSources to pass to ImportRagFiles. | 
| com.google.cloud.aiplatform.v1.SharePointSources.Builder | The SharePointSources to pass to ImportRagFiles. | 
| com.google.cloud.aiplatform.v1.SharePointSources.SharePointSource | An individual SharePointSource. | 
| com.google.cloud.aiplatform.v1.SharePointSources.SharePointSource.Builder | An individual SharePointSource. | 
| com.google.cloud.aiplatform.v1.ShieldedVmConfig | A set of Shielded Instance options.
 See Images using supported Shielded VM
 features. | 
| com.google.cloud.aiplatform.v1.ShieldedVmConfig.Builder | A set of Shielded Instance options.
 See Images using supported Shielded VM
 features. | 
| com.google.cloud.aiplatform.v1.SlackSource | The Slack source for the ImportRagFilesRequest. | 
| com.google.cloud.aiplatform.v1.SlackSource.Builder | The Slack source for the ImportRagFilesRequest. | 
| com.google.cloud.aiplatform.v1.SlackSource.SlackChannels | SlackChannels contains the Slack channels and corresponding access token. | 
| com.google.cloud.aiplatform.v1.SlackSource.SlackChannels.Builder | SlackChannels contains the Slack channels and corresponding access token. | 
| com.google.cloud.aiplatform.v1.SlackSource.SlackChannels.SlackChannel | SlackChannel contains the Slack channel ID and the time range to import. | 
| com.google.cloud.aiplatform.v1.SlackSource.SlackChannels.SlackChannel.Builder | SlackChannel contains the Slack channel ID and the time range to import. | 
| com.google.cloud.aiplatform.v1.SmoothGradConfig | Config for SmoothGrad approximation of gradients.
 When enabled, the gradients are approximated by averaging the gradients from | 
| com.google.cloud.aiplatform.v1.SmoothGradConfig.Builder | Config for SmoothGrad approximation of gradients.
 When enabled, the gradients are approximated by averaging the gradients from | 
| com.google.cloud.aiplatform.v1.SpecialistPool | SpecialistPool represents customers' own workforce to work on their data
 labeling jobs. It includes a group of specialist managers and workers.
 Managers are responsible for managing the workers in this pool as well as | 
| com.google.cloud.aiplatform.v1.SpecialistPool.Builder | SpecialistPool represents customers' own workforce to work on their data
 labeling jobs. It includes a group of specialist managers and workers.
 Managers are responsible for managing the workers in this pool as well as | 
| com.google.cloud.aiplatform.v1.SpecialistPoolName |  | 
| com.google.cloud.aiplatform.v1.SpecialistPoolName.Builder | Builder for projects/{project}/locations/{location}/specialistPools/{specialist_pool}. | 
| com.google.cloud.aiplatform.v1.SpecialistPoolProto |  | 
| com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListSpecialistPoolsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListSpecialistPoolsPage |  | 
| com.google.cloud.aiplatform.v1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.SpecialistPoolServiceGrpc | A service for creating and managing Customer SpecialistPools.
 When customers start Data Labeling jobs, they can reuse/create Specialist
 Pools to bring their own Specialists to label the data. | 
| com.google.cloud.aiplatform.v1.SpecialistPoolServiceGrpc.SpecialistPoolServiceImplBase | Base class for the server implementation of the service SpecialistPoolService.
 A service for creating and managing Customer SpecialistPools. | 
| com.google.cloud.aiplatform.v1.SpecialistPoolServiceProto |  | 
| com.google.cloud.aiplatform.v1.SpecialistPoolServiceSettings.Builder | Builder for SpecialistPoolServiceSettings. | 
| com.google.cloud.aiplatform.v1.SpeculativeDecodingSpec | Configuration for Speculative Decoding. | 
| com.google.cloud.aiplatform.v1.SpeculativeDecodingSpec.Builder | Configuration for Speculative Decoding. | 
| com.google.cloud.aiplatform.v1.SpeculativeDecodingSpec.DraftModelSpeculation | Draft model speculation works by using the smaller model to generate
 candidate tokens for speculative decoding. | 
| com.google.cloud.aiplatform.v1.SpeculativeDecodingSpec.DraftModelSpeculation.Builder | Draft model speculation works by using the smaller model to generate
 candidate tokens for speculative decoding. | 
| com.google.cloud.aiplatform.v1.SpeculativeDecodingSpec.NgramSpeculation | N-Gram speculation works by trying to find matching tokens in the
 previous prompt sequence and use those as speculation for generating
 new tokens. | 
| com.google.cloud.aiplatform.v1.SpeculativeDecodingSpec.NgramSpeculation.Builder | N-Gram speculation works by trying to find matching tokens in the
 previous prompt sequence and use those as speculation for generating
 new tokens. | 
| com.google.cloud.aiplatform.v1.StartNotebookRuntimeOperationMetadata | Metadata information for
 NotebookService.StartNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StartNotebookRuntimeOperationMetadata.Builder | Metadata information for
 NotebookService.StartNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StartNotebookRuntimeRequest | Request message for
 NotebookService.StartNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StartNotebookRuntimeRequest.Builder | Request message for
 NotebookService.StartNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StartNotebookRuntimeResponse | Response message for
 NotebookService.StartNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StartNotebookRuntimeResponse.Builder | Response message for
 NotebookService.StartNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StopNotebookRuntimeOperationMetadata | Metadata information for
 NotebookService.StopNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StopNotebookRuntimeOperationMetadata.Builder | Metadata information for
 NotebookService.StopNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StopNotebookRuntimeRequest | Request message for
 NotebookService.StopNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StopNotebookRuntimeRequest.Builder | Request message for
 NotebookService.StopNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StopNotebookRuntimeResponse | Response message for
 NotebookService.StopNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StopNotebookRuntimeResponse.Builder | Response message for
 NotebookService.StopNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.StopTrialRequest | Request message for
 VizierService.StopTrial. | 
| com.google.cloud.aiplatform.v1.StopTrialRequest.Builder | Request message for
 VizierService.StopTrial. | 
| com.google.cloud.aiplatform.v1.StratifiedSplit | Assigns input data to the training, validation, and test sets so that the
 distribution of values found in the categorical column (as specified by the keyfield) is mirrored within each split. The fraction values determine | 
| com.google.cloud.aiplatform.v1.StratifiedSplit.Builder | 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 keyfield) is mirrored within each split. The fraction values determine | 
| com.google.cloud.aiplatform.v1.StreamDirectPredictRequest | Request message for
 PredictionService.StreamDirectPredict. | 
| com.google.cloud.aiplatform.v1.StreamDirectPredictRequest.Builder | Request message for
 PredictionService.StreamDirectPredict. | 
| com.google.cloud.aiplatform.v1.StreamDirectPredictResponse | Response message for
 PredictionService.StreamDirectPredict. | 
| com.google.cloud.aiplatform.v1.StreamDirectPredictResponse.Builder | Response message for
 PredictionService.StreamDirectPredict. | 
| com.google.cloud.aiplatform.v1.StreamDirectRawPredictRequest | Request message for
 PredictionService.StreamDirectRawPredict. | 
| com.google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.Builder | Request message for
 PredictionService.StreamDirectRawPredict. | 
| com.google.cloud.aiplatform.v1.StreamDirectRawPredictResponse | Response message for
 PredictionService.StreamDirectRawPredict. | 
| com.google.cloud.aiplatform.v1.StreamDirectRawPredictResponse.Builder | Response message for
 PredictionService.StreamDirectRawPredict. | 
| com.google.cloud.aiplatform.v1.StreamQueryReasoningEngineRequest | Request message for [ReasoningEngineExecutionService.StreamQuery][]. | 
| com.google.cloud.aiplatform.v1.StreamQueryReasoningEngineRequest.Builder | Request message for [ReasoningEngineExecutionService.StreamQuery][]. | 
| com.google.cloud.aiplatform.v1.StreamRawPredictRequest | Request message for
 PredictionService.StreamRawPredict. | 
| com.google.cloud.aiplatform.v1.StreamRawPredictRequest.Builder | Request message for
 PredictionService.StreamRawPredict. | 
| com.google.cloud.aiplatform.v1.StreamingPredictRequest | Request message for
 PredictionService.StreamingPredict. | 
| com.google.cloud.aiplatform.v1.StreamingPredictRequest.Builder | Request message for
 PredictionService.StreamingPredict. | 
| com.google.cloud.aiplatform.v1.StreamingPredictResponse | Response message for
 PredictionService.StreamingPredict. | 
| com.google.cloud.aiplatform.v1.StreamingPredictResponse.Builder | Response message for
 PredictionService.StreamingPredict. | 
| com.google.cloud.aiplatform.v1.StreamingRawPredictRequest | Request message for
 PredictionService.StreamingRawPredict. | 
| com.google.cloud.aiplatform.v1.StreamingRawPredictRequest.Builder | Request message for
 PredictionService.StreamingRawPredict. | 
| com.google.cloud.aiplatform.v1.StreamingRawPredictResponse | Response message for
 PredictionService.StreamingRawPredict. | 
| com.google.cloud.aiplatform.v1.StreamingRawPredictResponse.Builder | Response message for
 PredictionService.StreamingRawPredict. | 
| com.google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest | Request message for
 FeaturestoreOnlineServingService.StreamingReadFeatureValues. | 
| com.google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest.Builder | Request message for
 FeaturestoreOnlineServingService.StreamingReadFeatureValues. | 
| com.google.cloud.aiplatform.v1.StringArray | A list of string values. | 
| com.google.cloud.aiplatform.v1.StringArray.Builder | A list of string values. | 
| com.google.cloud.aiplatform.v1.StructFieldValue | One field of a Struct (or object) type feature value. | 
| com.google.cloud.aiplatform.v1.StructFieldValue.Builder | One field of a Struct (or object) type feature value. | 
| com.google.cloud.aiplatform.v1.StructValue | Struct (or object) type feature value. | 
| com.google.cloud.aiplatform.v1.StructValue.Builder | Struct (or object) type feature value. | 
| com.google.cloud.aiplatform.v1.Study | A message representing a Study. | 
| com.google.cloud.aiplatform.v1.Study.Builder | A message representing a Study. | 
| com.google.cloud.aiplatform.v1.StudyName |  | 
| com.google.cloud.aiplatform.v1.StudyName.Builder | Builder for projects/{project}/locations/{location}/studies/{study}. | 
| com.google.cloud.aiplatform.v1.StudyProto |  | 
| com.google.cloud.aiplatform.v1.StudySpec | Represents specification of a Study. | 
| com.google.cloud.aiplatform.v1.StudySpec.Builder | Represents specification of a Study. | 
| com.google.cloud.aiplatform.v1.StudySpec.ConvexAutomatedStoppingSpec | Configuration for ConvexAutomatedStoppingSpec.
 When there are enough completed trials (configured by
 min_measurement_count), for pending trials with enough measurements and | 
| com.google.cloud.aiplatform.v1.StudySpec.ConvexAutomatedStoppingSpec.Builder | Configuration for ConvexAutomatedStoppingSpec.
 When there are enough completed trials (configured by
 min_measurement_count), for pending trials with enough measurements and | 
| com.google.cloud.aiplatform.v1.StudySpec.DecayCurveAutomatedStoppingSpec | 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 | 
| com.google.cloud.aiplatform.v1.StudySpec.DecayCurveAutomatedStoppingSpec.Builder | 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 | 
| com.google.cloud.aiplatform.v1.StudySpec.MedianAutomatedStoppingSpec | 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. | 
| com.google.cloud.aiplatform.v1.StudySpec.MedianAutomatedStoppingSpec.Builder | 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. | 
| com.google.cloud.aiplatform.v1.StudySpec.MetricSpec | Represents a metric to optimize. | 
| com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.Builder | Represents a metric to optimize. | 
| com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.SafetyMetricConfig | Used in safe optimization to specify threshold levels and risk tolerance. | 
| com.google.cloud.aiplatform.v1.StudySpec.MetricSpec.SafetyMetricConfig.Builder | Used in safe optimization to specify threshold levels and risk tolerance. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec | Represents a single parameter to optimize. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.Builder | Represents a single parameter to optimize. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec | Value specification for a parameter in CATEGORICALtype. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.CategoricalValueSpec.Builder | Value specification for a parameter in CATEGORICALtype. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec | Represents a parameter spec with condition from its parent parameter. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.Builder | Represents a parameter spec with condition from its parent parameter. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition | Represents the spec to match categorical values from parent parameter. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.Builder | Represents the spec to match categorical values from parent parameter. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition | Represents the spec to match discrete values from parent parameter. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.Builder | Represents the spec to match discrete values from parent parameter. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition | Represents the spec to match integer values from parent parameter. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.Builder | Represents the spec to match integer values from parent parameter. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec | Value specification for a parameter in DISCRETEtype. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DiscreteValueSpec.Builder | Value specification for a parameter in DISCRETEtype. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec | Value specification for a parameter in DOUBLEtype. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.DoubleValueSpec.Builder | Value specification for a parameter in DOUBLEtype. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec | Value specification for a parameter in INTEGERtype. | 
| com.google.cloud.aiplatform.v1.StudySpec.ParameterSpec.IntegerValueSpec.Builder | Value specification for a parameter in INTEGERtype. | 
| com.google.cloud.aiplatform.v1.StudySpec.StudyStoppingConfig | The configuration (stopping conditions) for automated stopping of a Study.
 Conditions include trial budgets, time budgets, and convergence detection. | 
| com.google.cloud.aiplatform.v1.StudySpec.StudyStoppingConfig.Builder | The configuration (stopping conditions) for automated stopping of a Study.
 Conditions include trial budgets, time budgets, and convergence detection. | 
| com.google.cloud.aiplatform.v1.StudyTimeConstraint | Time-based Constraint for Study | 
| com.google.cloud.aiplatform.v1.StudyTimeConstraint.Builder | Time-based Constraint for Study | 
| com.google.cloud.aiplatform.v1.SuggestTrialsMetadata | Details of operations that perform Trials suggestion. | 
| com.google.cloud.aiplatform.v1.SuggestTrialsMetadata.Builder | Details of operations that perform Trials suggestion. | 
| com.google.cloud.aiplatform.v1.SuggestTrialsRequest | Request message for
 VizierService.SuggestTrials. | 
| com.google.cloud.aiplatform.v1.SuggestTrialsRequest.Builder | Request message for
 VizierService.SuggestTrials. | 
| com.google.cloud.aiplatform.v1.SuggestTrialsResponse | Response message for
 VizierService.SuggestTrials. | 
| com.google.cloud.aiplatform.v1.SuggestTrialsResponse.Builder | Response message for
 VizierService.SuggestTrials. | 
| com.google.cloud.aiplatform.v1.SummarizationHelpfulnessInput | Input for summarization helpfulness metric. | 
| com.google.cloud.aiplatform.v1.SummarizationHelpfulnessInput.Builder | Input for summarization helpfulness metric. | 
| com.google.cloud.aiplatform.v1.SummarizationHelpfulnessInstance | Spec for summarization helpfulness instance. | 
| com.google.cloud.aiplatform.v1.SummarizationHelpfulnessInstance.Builder | Spec for summarization helpfulness instance. | 
| com.google.cloud.aiplatform.v1.SummarizationHelpfulnessResult | Spec for summarization helpfulness result. | 
| com.google.cloud.aiplatform.v1.SummarizationHelpfulnessResult.Builder | Spec for summarization helpfulness result. | 
| com.google.cloud.aiplatform.v1.SummarizationHelpfulnessSpec | Spec for summarization helpfulness score metric. | 
| com.google.cloud.aiplatform.v1.SummarizationHelpfulnessSpec.Builder | Spec for summarization helpfulness score metric. | 
| com.google.cloud.aiplatform.v1.SummarizationQualityInput | Input for summarization quality metric. | 
| com.google.cloud.aiplatform.v1.SummarizationQualityInput.Builder | Input for summarization quality metric. | 
| com.google.cloud.aiplatform.v1.SummarizationQualityInstance | Spec for summarization quality instance. | 
| com.google.cloud.aiplatform.v1.SummarizationQualityInstance.Builder | Spec for summarization quality instance. | 
| com.google.cloud.aiplatform.v1.SummarizationQualityResult | Spec for summarization quality result. | 
| com.google.cloud.aiplatform.v1.SummarizationQualityResult.Builder | Spec for summarization quality result. | 
| com.google.cloud.aiplatform.v1.SummarizationQualitySpec | Spec for summarization quality score metric. | 
| com.google.cloud.aiplatform.v1.SummarizationQualitySpec.Builder | Spec for summarization quality score metric. | 
| com.google.cloud.aiplatform.v1.SummarizationVerbosityInput | Input for summarization verbosity metric. | 
| com.google.cloud.aiplatform.v1.SummarizationVerbosityInput.Builder | Input for summarization verbosity metric. | 
| com.google.cloud.aiplatform.v1.SummarizationVerbosityInstance | Spec for summarization verbosity instance. | 
| com.google.cloud.aiplatform.v1.SummarizationVerbosityInstance.Builder | Spec for summarization verbosity instance. | 
| com.google.cloud.aiplatform.v1.SummarizationVerbosityResult | Spec for summarization verbosity result. | 
| com.google.cloud.aiplatform.v1.SummarizationVerbosityResult.Builder | Spec for summarization verbosity result. | 
| com.google.cloud.aiplatform.v1.SummarizationVerbositySpec | Spec for summarization verbosity score metric. | 
| com.google.cloud.aiplatform.v1.SummarizationVerbositySpec.Builder | Spec for summarization verbosity score metric. | 
| com.google.cloud.aiplatform.v1.SupervisedHyperParameters | Hyperparameters for SFT. | 
| com.google.cloud.aiplatform.v1.SupervisedHyperParameters.Builder | Hyperparameters for SFT. | 
| com.google.cloud.aiplatform.v1.SupervisedTuningDataStats | Tuning data statistics for Supervised Tuning. | 
| com.google.cloud.aiplatform.v1.SupervisedTuningDataStats.Builder | Tuning data statistics for Supervised Tuning. | 
| com.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution | Dataset distribution for Supervised Tuning. | 
| com.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution.Builder | Dataset distribution for Supervised Tuning. | 
| com.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution.DatasetBucket | Dataset bucket used to create a histogram for the distribution given a
 population of values. | 
| com.google.cloud.aiplatform.v1.SupervisedTuningDatasetDistribution.DatasetBucket.Builder | Dataset bucket used to create a histogram for the distribution given a
 population of values. | 
| com.google.cloud.aiplatform.v1.SupervisedTuningSpec | Tuning Spec for Supervised Tuning for first party models. | 
| com.google.cloud.aiplatform.v1.SupervisedTuningSpec.Builder | Tuning Spec for Supervised Tuning for first party models. | 
| com.google.cloud.aiplatform.v1.SyncFeatureViewRequest | Request message for
 FeatureOnlineStoreAdminService.SyncFeatureView. | 
| com.google.cloud.aiplatform.v1.SyncFeatureViewRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.SyncFeatureView. | 
| com.google.cloud.aiplatform.v1.SyncFeatureViewResponse | Response message for
 FeatureOnlineStoreAdminService.SyncFeatureView. | 
| com.google.cloud.aiplatform.v1.SyncFeatureViewResponse.Builder | Response message for
 FeatureOnlineStoreAdminService.SyncFeatureView. | 
| com.google.cloud.aiplatform.v1.SyntheticExample | Represents a single synthetic example, composed of multiple fields.
 Used for providing few-shot examples in the request and for returning
 generated examples in the response. | 
| com.google.cloud.aiplatform.v1.SyntheticExample.Builder | Represents a single synthetic example, composed of multiple fields.
 Used for providing few-shot examples in the request and for returning
 generated examples in the response. | 
| com.google.cloud.aiplatform.v1.SyntheticField | Represents a single named field within a SyntheticExample. | 
| com.google.cloud.aiplatform.v1.SyntheticField.Builder | Represents a single named field within a SyntheticExample. | 
| com.google.cloud.aiplatform.v1.TFRecordDestination | The storage details for TFRecord output content. | 
| com.google.cloud.aiplatform.v1.TFRecordDestination.Builder | The storage details for TFRecord output content. | 
| com.google.cloud.aiplatform.v1.TaskDescriptionStrategy | Defines a generation strategy based on a high-level task description. | 
| com.google.cloud.aiplatform.v1.TaskDescriptionStrategy.Builder | Defines a generation strategy based on a high-level task description. | 
| com.google.cloud.aiplatform.v1.Tensor | A tensor value type. | 
| com.google.cloud.aiplatform.v1.Tensor.Builder | A tensor value type. | 
| com.google.cloud.aiplatform.v1.Tensorboard | Tensorboard is a physical database that stores users' training metrics.
 A default Tensorboard is provided in each region of a Google Cloud project.
 If needed users can also create extra Tensorboards in their projects. | 
| com.google.cloud.aiplatform.v1.Tensorboard.Builder | Tensorboard is a physical database that stores users' training metrics.
 A default Tensorboard is provided in each region of a Google Cloud project.
 If needed users can also create extra Tensorboards in their projects. | 
| com.google.cloud.aiplatform.v1.TensorboardBlob | One blob (e.g, image, graph) viewable on a blob metric plot. | 
| com.google.cloud.aiplatform.v1.TensorboardBlob.Builder | One blob (e.g, image, graph) viewable on a blob metric plot. | 
| com.google.cloud.aiplatform.v1.TensorboardBlobSequence | One point viewable on a blob metric plot, but mostly just a wrapper message
 to work around repeated fields can't be used directly within oneoffields. | 
| com.google.cloud.aiplatform.v1.TensorboardBlobSequence.Builder | 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 oneoffields. | 
| com.google.cloud.aiplatform.v1.TensorboardDataProto |  | 
| com.google.cloud.aiplatform.v1.TensorboardExperiment | A TensorboardExperiment is a group of TensorboardRuns, that are typically the
 results of a training job run, in a Tensorboard. | 
| com.google.cloud.aiplatform.v1.TensorboardExperiment.Builder | A TensorboardExperiment is a group of TensorboardRuns, that are typically the
 results of a training job run, in a Tensorboard. | 
| com.google.cloud.aiplatform.v1.TensorboardExperimentName |  | 
| com.google.cloud.aiplatform.v1.TensorboardExperimentName.Builder | Builder for
 projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}. | 
| com.google.cloud.aiplatform.v1.TensorboardExperimentProto |  | 
| com.google.cloud.aiplatform.v1.TensorboardName |  | 
| com.google.cloud.aiplatform.v1.TensorboardName.Builder | Builder for projects/{project}/locations/{location}/tensorboards/{tensorboard}. | 
| com.google.cloud.aiplatform.v1.TensorboardProto |  | 
| com.google.cloud.aiplatform.v1.TensorboardRun | TensorboardRun maps to a specific execution of a training job with a given
 set of hyperparameter values, model definition, dataset, etc | 
| com.google.cloud.aiplatform.v1.TensorboardRun.Builder | TensorboardRun maps to a specific execution of a training job with a given
 set of hyperparameter values, model definition, dataset, etc | 
| com.google.cloud.aiplatform.v1.TensorboardRunName |  | 
| com.google.cloud.aiplatform.v1.TensorboardRunName.Builder | Builder for
 projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}. | 
| com.google.cloud.aiplatform.v1.TensorboardRunProto |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ExportTensorboardTimeSeriesDataFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ExportTensorboardTimeSeriesDataPage |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ExportTensorboardTimeSeriesDataPagedResponse |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardExperimentsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardExperimentsPage |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardExperimentsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardRunsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardRunsPage |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardRunsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardTimeSeriesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardTimeSeriesPage |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardTimeSeriesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardsPage |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceClient.ListTensorboardsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceGrpc | TensorboardService | 
| com.google.cloud.aiplatform.v1.TensorboardServiceGrpc.TensorboardServiceImplBase | Base class for the server implementation of the service TensorboardService.
 TensorboardService | 
| com.google.cloud.aiplatform.v1.TensorboardServiceProto |  | 
| com.google.cloud.aiplatform.v1.TensorboardServiceSettings.Builder | Builder for TensorboardServiceSettings. | 
| com.google.cloud.aiplatform.v1.TensorboardTensor | One point viewable on a tensor metric plot. | 
| com.google.cloud.aiplatform.v1.TensorboardTensor.Builder | One point viewable on a tensor metric plot. | 
| com.google.cloud.aiplatform.v1.TensorboardTimeSeries | TensorboardTimeSeries maps to times series produced in training runs | 
| com.google.cloud.aiplatform.v1.TensorboardTimeSeries.Builder | TensorboardTimeSeries maps to times series produced in training runs | 
| com.google.cloud.aiplatform.v1.TensorboardTimeSeries.Metadata | Describes metadata for a TensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.TensorboardTimeSeries.Metadata.Builder | Describes metadata for a TensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.TensorboardTimeSeriesName |  | 
| com.google.cloud.aiplatform.v1.TensorboardTimeSeriesName.Builder | Builder for
 projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}. | 
| com.google.cloud.aiplatform.v1.TensorboardTimeSeriesProto |  | 
| com.google.cloud.aiplatform.v1.ThresholdConfig | The config for feature monitoring threshold. | 
| com.google.cloud.aiplatform.v1.ThresholdConfig.Builder | The config for feature monitoring threshold. | 
| com.google.cloud.aiplatform.v1.TimeSeriesData | All the data stored in a TensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.TimeSeriesData.Builder | All the data stored in a TensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.TimeSeriesDataPoint | A TensorboardTimeSeries data point. | 
| com.google.cloud.aiplatform.v1.TimeSeriesDataPoint.Builder | A TensorboardTimeSeries data point. | 
| com.google.cloud.aiplatform.v1.TimestampSplit | Assigns input data to training, validation, and test sets based on a
 provided timestamps. The youngest data pieces are assigned to training set,
 next to validation set, and the oldest to the test set. | 
| com.google.cloud.aiplatform.v1.TimestampSplit.Builder | Assigns input data to training, validation, and test sets based on a
 provided timestamps. The youngest data pieces are assigned to training set,
 next to validation set, and the oldest to the test set. | 
| com.google.cloud.aiplatform.v1.TokensInfo | Tokens info with a list of tokens and the corresponding list of token ids. | 
| com.google.cloud.aiplatform.v1.TokensInfo.Builder | Tokens info with a list of tokens and the corresponding list of token ids. | 
| com.google.cloud.aiplatform.v1.Tool | Tool details that the model may use to generate response.
 A Toolis a piece of code that enables the system to interact with | 
| com.google.cloud.aiplatform.v1.Tool.Builder | Tool details that the model may use to generate response.
 A Toolis a piece of code that enables the system to interact with | 
| com.google.cloud.aiplatform.v1.Tool.CodeExecution | Tool that executes code generated by the model, and automatically returns
 the result to the model. | 
| com.google.cloud.aiplatform.v1.Tool.CodeExecution.Builder | Tool that executes code generated by the model, and automatically returns
 the result to the model. | 
| com.google.cloud.aiplatform.v1.Tool.ComputerUse | Tool to support computer use. | 
| com.google.cloud.aiplatform.v1.Tool.ComputerUse.Builder | Tool to support computer use. | 
| com.google.cloud.aiplatform.v1.Tool.GoogleSearch | GoogleSearch tool type.
 Tool to support Google Search in Model. Powered by Google. | 
| com.google.cloud.aiplatform.v1.Tool.GoogleSearch.Builder | GoogleSearch tool type.
 Tool to support Google Search in Model. Powered by Google. | 
| com.google.cloud.aiplatform.v1.ToolCallValidInput | Input for tool call valid metric. | 
| com.google.cloud.aiplatform.v1.ToolCallValidInput.Builder | Input for tool call valid metric. | 
| com.google.cloud.aiplatform.v1.ToolCallValidInstance | Spec for tool call valid instance. | 
| com.google.cloud.aiplatform.v1.ToolCallValidInstance.Builder | Spec for tool call valid instance. | 
| com.google.cloud.aiplatform.v1.ToolCallValidMetricValue | Tool call valid metric value for an instance. | 
| com.google.cloud.aiplatform.v1.ToolCallValidMetricValue.Builder | Tool call valid metric value for an instance. | 
| com.google.cloud.aiplatform.v1.ToolCallValidResults | Results for tool call valid metric. | 
| com.google.cloud.aiplatform.v1.ToolCallValidResults.Builder | Results for tool call valid metric. | 
| com.google.cloud.aiplatform.v1.ToolCallValidSpec | Spec for tool call valid metric. | 
| com.google.cloud.aiplatform.v1.ToolCallValidSpec.Builder | Spec for tool call valid metric. | 
| com.google.cloud.aiplatform.v1.ToolConfig | Tool config. This config is shared for all tools provided in the request. | 
| com.google.cloud.aiplatform.v1.ToolConfig.Builder | Tool config. This config is shared for all tools provided in the request. | 
| com.google.cloud.aiplatform.v1.ToolNameMatchInput | Input for tool name match metric. | 
| com.google.cloud.aiplatform.v1.ToolNameMatchInput.Builder | Input for tool name match metric. | 
| com.google.cloud.aiplatform.v1.ToolNameMatchInstance | Spec for tool name match instance. | 
| com.google.cloud.aiplatform.v1.ToolNameMatchInstance.Builder | Spec for tool name match instance. | 
| com.google.cloud.aiplatform.v1.ToolNameMatchMetricValue | Tool name match metric value for an instance. | 
| com.google.cloud.aiplatform.v1.ToolNameMatchMetricValue.Builder | Tool name match metric value for an instance. | 
| com.google.cloud.aiplatform.v1.ToolNameMatchResults | Results for tool name match metric. | 
| com.google.cloud.aiplatform.v1.ToolNameMatchResults.Builder | Results for tool name match metric. | 
| com.google.cloud.aiplatform.v1.ToolNameMatchSpec | Spec for tool name match metric. | 
| com.google.cloud.aiplatform.v1.ToolNameMatchSpec.Builder | Spec for tool name match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKVMatchInput | Input for tool parameter key value match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKVMatchInput.Builder | Input for tool parameter key value match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKVMatchInstance | Spec for tool parameter key value match instance. | 
| com.google.cloud.aiplatform.v1.ToolParameterKVMatchInstance.Builder | Spec for tool parameter key value match instance. | 
| com.google.cloud.aiplatform.v1.ToolParameterKVMatchMetricValue | Tool parameter key value match metric value for an instance. | 
| com.google.cloud.aiplatform.v1.ToolParameterKVMatchMetricValue.Builder | Tool parameter key value match metric value for an instance. | 
| com.google.cloud.aiplatform.v1.ToolParameterKVMatchResults | Results for tool parameter key value match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKVMatchResults.Builder | Results for tool parameter key value match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKVMatchSpec | Spec for tool parameter key value match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKVMatchSpec.Builder | Spec for tool parameter key value match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKeyMatchInput | Input for tool parameter key match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKeyMatchInput.Builder | Input for tool parameter key match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKeyMatchInstance | Spec for tool parameter key match instance. | 
| com.google.cloud.aiplatform.v1.ToolParameterKeyMatchInstance.Builder | Spec for tool parameter key match instance. | 
| com.google.cloud.aiplatform.v1.ToolParameterKeyMatchMetricValue | Tool parameter key match metric value for an instance. | 
| com.google.cloud.aiplatform.v1.ToolParameterKeyMatchMetricValue.Builder | Tool parameter key match metric value for an instance. | 
| com.google.cloud.aiplatform.v1.ToolParameterKeyMatchResults | Results for tool parameter key match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKeyMatchResults.Builder | Results for tool parameter key match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKeyMatchSpec | Spec for tool parameter key match metric. | 
| com.google.cloud.aiplatform.v1.ToolParameterKeyMatchSpec.Builder | Spec for tool parameter key match metric. | 
| com.google.cloud.aiplatform.v1.ToolProto |  | 
| com.google.cloud.aiplatform.v1.TrainingConfig | CMLE training config. For every active learning labeling iteration, system
 will train a machine learning model on CMLE. The trained model will be used
 by data sampling algorithm to select DataItems. | 
| com.google.cloud.aiplatform.v1.TrainingConfig.Builder | CMLE training config. For every active learning labeling iteration, system
 will train a machine learning model on CMLE. The trained model will be used
 by data sampling algorithm to select DataItems. | 
| com.google.cloud.aiplatform.v1.TrainingPipeline | The TrainingPipeline orchestrates tasks associated with training a Model. It
 always executes the training task, and optionally may also
 export data from Vertex AI's Dataset which becomes the training input, | 
| com.google.cloud.aiplatform.v1.TrainingPipeline.Builder | The TrainingPipeline orchestrates tasks associated with training a Model. It
 always executes the training task, and optionally may also
 export data from Vertex AI's Dataset which becomes the training input, | 
| com.google.cloud.aiplatform.v1.TrainingPipelineName |  | 
| com.google.cloud.aiplatform.v1.TrainingPipelineName.Builder | Builder for projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}. | 
| com.google.cloud.aiplatform.v1.TrainingPipelineProto |  | 
| com.google.cloud.aiplatform.v1.Trial | A message representing a Trial. A Trial contains a unique set of Parameters
 that has been or will be evaluated, along with the objective metrics got by
 running the Trial. | 
| com.google.cloud.aiplatform.v1.Trial.Builder | A message representing a Trial. A Trial contains a unique set of Parameters
 that has been or will be evaluated, along with the objective metrics got by
 running the Trial. | 
| com.google.cloud.aiplatform.v1.Trial.Parameter | A message representing a parameter to be tuned. | 
| com.google.cloud.aiplatform.v1.Trial.Parameter.Builder | A message representing a parameter to be tuned. | 
| com.google.cloud.aiplatform.v1.TrialContext | Protobuf type google.cloud.aiplatform.v1.TrialContext | 
| com.google.cloud.aiplatform.v1.TrialContext.Builder | Protobuf type google.cloud.aiplatform.v1.TrialContext | 
| com.google.cloud.aiplatform.v1.TrialName |  | 
| com.google.cloud.aiplatform.v1.TrialName.Builder | Builder for projects/{project}/locations/{location}/studies/{study}/trials/{trial}. | 
| com.google.cloud.aiplatform.v1.TunedModel | The Model Registry Model and Online Prediction Endpoint associated with
 this TuningJob. | 
| com.google.cloud.aiplatform.v1.TunedModel.Builder | The Model Registry Model and Online Prediction Endpoint associated with
 this TuningJob. | 
| com.google.cloud.aiplatform.v1.TunedModelCheckpoint | TunedModelCheckpoint for the Tuned Model of a Tuning Job. | 
| com.google.cloud.aiplatform.v1.TunedModelCheckpoint.Builder | TunedModelCheckpoint for the Tuned Model of a Tuning Job. | 
| com.google.cloud.aiplatform.v1.TunedModelRef | TunedModel Reference for legacy model migration. | 
| com.google.cloud.aiplatform.v1.TunedModelRef.Builder | TunedModel Reference for legacy model migration. | 
| com.google.cloud.aiplatform.v1.TuningDataStats | The tuning data statistic values for
 TuningJob. | 
| com.google.cloud.aiplatform.v1.TuningDataStats.Builder | The tuning data statistic values for
 TuningJob. | 
| com.google.cloud.aiplatform.v1.TuningJob | Represents a TuningJob that runs with Google owned models. | 
| com.google.cloud.aiplatform.v1.TuningJob.Builder | Represents a TuningJob that runs with Google owned models. | 
| com.google.cloud.aiplatform.v1.TuningJobName |  | 
| com.google.cloud.aiplatform.v1.TuningJobName.Builder | Builder for projects/{project}/locations/{location}/tuningJobs/{tuning_job}. | 
| com.google.cloud.aiplatform.v1.TuningJobProto |  | 
| com.google.cloud.aiplatform.v1.TypesProto |  | 
| com.google.cloud.aiplatform.v1.UndeployIndexOperationMetadata | Runtime operation information for
 IndexEndpointService.UndeployIndex. | 
| com.google.cloud.aiplatform.v1.UndeployIndexOperationMetadata.Builder | Runtime operation information for
 IndexEndpointService.UndeployIndex. | 
| com.google.cloud.aiplatform.v1.UndeployIndexRequest | Request message for
 IndexEndpointService.UndeployIndex. | 
| com.google.cloud.aiplatform.v1.UndeployIndexRequest.Builder | Request message for
 IndexEndpointService.UndeployIndex. | 
| com.google.cloud.aiplatform.v1.UndeployIndexResponse | Response message for
 IndexEndpointService.UndeployIndex. | 
| com.google.cloud.aiplatform.v1.UndeployIndexResponse.Builder | Response message for
 IndexEndpointService.UndeployIndex. | 
| com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata | Runtime operation information for
 EndpointService.UndeployModel. | 
| com.google.cloud.aiplatform.v1.UndeployModelOperationMetadata.Builder | Runtime operation information for
 EndpointService.UndeployModel. | 
| com.google.cloud.aiplatform.v1.UndeployModelRequest | Request message for
 EndpointService.UndeployModel. | 
| com.google.cloud.aiplatform.v1.UndeployModelRequest.Builder | Request message for
 EndpointService.UndeployModel. | 
| com.google.cloud.aiplatform.v1.UndeployModelResponse | Response message for
 EndpointService.UndeployModel. | 
| com.google.cloud.aiplatform.v1.UndeployModelResponse.Builder | Response message for
 EndpointService.UndeployModel. | 
| com.google.cloud.aiplatform.v1.UnmanagedContainerModel | Contains model information necessary to perform batch prediction without
 requiring a full model import. | 
| com.google.cloud.aiplatform.v1.UnmanagedContainerModel.Builder | Contains model information necessary to perform batch prediction without
 requiring a full model import. | 
| com.google.cloud.aiplatform.v1.UnmanagedContainerModelProto |  | 
| com.google.cloud.aiplatform.v1.UpdateArtifactRequest | Request message for
 MetadataService.UpdateArtifact. | 
| com.google.cloud.aiplatform.v1.UpdateArtifactRequest.Builder | Request message for
 MetadataService.UpdateArtifact. | 
| com.google.cloud.aiplatform.v1.UpdateCachedContentRequest | Request message for
 GenAiCacheService.UpdateCachedContent.
 Only expire_time or ttl can be updated. | 
| com.google.cloud.aiplatform.v1.UpdateCachedContentRequest.Builder | Request message for
 GenAiCacheService.UpdateCachedContent.
 Only expire_time or ttl can be updated. | 
| com.google.cloud.aiplatform.v1.UpdateContextRequest | Request message for
 MetadataService.UpdateContext. | 
| com.google.cloud.aiplatform.v1.UpdateContextRequest.Builder | Request message for
 MetadataService.UpdateContext. | 
| com.google.cloud.aiplatform.v1.UpdateDatasetRequest | Request message for
 DatasetService.UpdateDataset. | 
| com.google.cloud.aiplatform.v1.UpdateDatasetRequest.Builder | Request message for
 DatasetService.UpdateDataset. | 
| com.google.cloud.aiplatform.v1.UpdateDatasetVersionRequest | Request message for
 DatasetService.UpdateDatasetVersion. | 
| com.google.cloud.aiplatform.v1.UpdateDatasetVersionRequest.Builder | Request message for
 DatasetService.UpdateDatasetVersion. | 
| com.google.cloud.aiplatform.v1.UpdateDeploymentResourcePoolOperationMetadata | Runtime operation information for UpdateDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.UpdateDeploymentResourcePoolOperationMetadata.Builder | Runtime operation information for UpdateDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.UpdateDeploymentResourcePoolRequest | Request message for UpdateDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.UpdateDeploymentResourcePoolRequest.Builder | Request message for UpdateDeploymentResourcePool method. | 
| com.google.cloud.aiplatform.v1.UpdateEndpointLongRunningRequest | Request message for
 EndpointService.UpdateEndpointLongRunning. | 
| com.google.cloud.aiplatform.v1.UpdateEndpointLongRunningRequest.Builder | Request message for
 EndpointService.UpdateEndpointLongRunning. | 
| com.google.cloud.aiplatform.v1.UpdateEndpointOperationMetadata | Runtime operation information for
 EndpointService.UpdateEndpointLongRunning. | 
| com.google.cloud.aiplatform.v1.UpdateEndpointOperationMetadata.Builder | Runtime operation information for
 EndpointService.UpdateEndpointLongRunning. | 
| com.google.cloud.aiplatform.v1.UpdateEndpointRequest | Request message for
 EndpointService.UpdateEndpoint. | 
| com.google.cloud.aiplatform.v1.UpdateEndpointRequest.Builder | Request message for
 EndpointService.UpdateEndpoint. | 
| com.google.cloud.aiplatform.v1.UpdateEntityTypeRequest | Request message for
 FeaturestoreService.UpdateEntityType. | 
| com.google.cloud.aiplatform.v1.UpdateEntityTypeRequest.Builder | Request message for
 FeaturestoreService.UpdateEntityType. | 
| com.google.cloud.aiplatform.v1.UpdateExecutionRequest | Request message for
 MetadataService.UpdateExecution. | 
| com.google.cloud.aiplatform.v1.UpdateExecutionRequest.Builder | Request message for
 MetadataService.UpdateExecution. | 
| com.google.cloud.aiplatform.v1.UpdateExplanationDatasetOperationMetadata | Runtime operation information for
 ModelService.UpdateExplanationDataset. | 
| com.google.cloud.aiplatform.v1.UpdateExplanationDatasetOperationMetadata.Builder | Runtime operation information for
 ModelService.UpdateExplanationDataset. | 
| com.google.cloud.aiplatform.v1.UpdateExplanationDatasetRequest | Request message for
 ModelService.UpdateExplanationDataset. | 
| com.google.cloud.aiplatform.v1.UpdateExplanationDatasetRequest.Builder | Request message for
 ModelService.UpdateExplanationDataset. | 
| com.google.cloud.aiplatform.v1.UpdateExplanationDatasetResponse | Response message of
 ModelService.UpdateExplanationDataset
 operation. | 
| com.google.cloud.aiplatform.v1.UpdateExplanationDatasetResponse.Builder | Response message of
 ModelService.UpdateExplanationDataset
 operation. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureGroupOperationMetadata | Details of operations that perform update FeatureGroup. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureGroupOperationMetadata.Builder | Details of operations that perform update FeatureGroup. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureGroupRequest | Request message for
 FeatureRegistryService.UpdateFeatureGroup. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureGroupRequest.Builder | Request message for
 FeatureRegistryService.UpdateFeatureGroup. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureOnlineStoreOperationMetadata | Details of operations that perform update FeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureOnlineStoreOperationMetadata.Builder | Details of operations that perform update FeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureOnlineStoreRequest | Request message for
 FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureOnlineStoreRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureOperationMetadata | Details of operations that perform update Feature. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureOperationMetadata.Builder | Details of operations that perform update Feature. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureRequest | Request message for
 FeaturestoreService.UpdateFeature.
 Request message for | 
| com.google.cloud.aiplatform.v1.UpdateFeatureRequest.Builder | Request message for
 FeaturestoreService.UpdateFeature.
 Request message for | 
| com.google.cloud.aiplatform.v1.UpdateFeatureViewOperationMetadata | Details of operations that perform update FeatureView. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureViewOperationMetadata.Builder | Details of operations that perform update FeatureView. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureViewRequest | Request message for
 FeatureOnlineStoreAdminService.UpdateFeatureView. | 
| com.google.cloud.aiplatform.v1.UpdateFeatureViewRequest.Builder | Request message for
 FeatureOnlineStoreAdminService.UpdateFeatureView. | 
| com.google.cloud.aiplatform.v1.UpdateFeaturestoreOperationMetadata | Details of operations that perform update Featurestore. | 
| com.google.cloud.aiplatform.v1.UpdateFeaturestoreOperationMetadata.Builder | Details of operations that perform update Featurestore. | 
| com.google.cloud.aiplatform.v1.UpdateFeaturestoreRequest | Request message for
 FeaturestoreService.UpdateFeaturestore. | 
| com.google.cloud.aiplatform.v1.UpdateFeaturestoreRequest.Builder | Request message for
 FeaturestoreService.UpdateFeaturestore. | 
| com.google.cloud.aiplatform.v1.UpdateIndexEndpointRequest | Request message for
 IndexEndpointService.UpdateIndexEndpoint. | 
| com.google.cloud.aiplatform.v1.UpdateIndexEndpointRequest.Builder | Request message for
 IndexEndpointService.UpdateIndexEndpoint. | 
| com.google.cloud.aiplatform.v1.UpdateIndexOperationMetadata | Runtime operation information for
 IndexService.UpdateIndex. | 
| com.google.cloud.aiplatform.v1.UpdateIndexOperationMetadata.Builder | Runtime operation information for
 IndexService.UpdateIndex. | 
| com.google.cloud.aiplatform.v1.UpdateIndexRequest | Request message for
 IndexService.UpdateIndex. | 
| com.google.cloud.aiplatform.v1.UpdateIndexRequest.Builder | Request message for
 IndexService.UpdateIndex. | 
| com.google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobOperationMetadata | Runtime operation information for
 JobService.UpdateModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobOperationMetadata.Builder | Runtime operation information for
 JobService.UpdateModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest | Request message for
 JobService.UpdateModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest.Builder | Request message for
 JobService.UpdateModelDeploymentMonitoringJob. | 
| com.google.cloud.aiplatform.v1.UpdateModelRequest | Request message for
 ModelService.UpdateModel. | 
| com.google.cloud.aiplatform.v1.UpdateModelRequest.Builder | Request message for
 ModelService.UpdateModel. | 
| com.google.cloud.aiplatform.v1.UpdateNotebookRuntimeTemplateRequest | Request message for
 NotebookService.UpdateNotebookRuntimeTemplate. | 
| com.google.cloud.aiplatform.v1.UpdateNotebookRuntimeTemplateRequest.Builder | Request message for
 NotebookService.UpdateNotebookRuntimeTemplate. | 
| com.google.cloud.aiplatform.v1.UpdatePersistentResourceOperationMetadata | Details of operations that perform update PersistentResource. | 
| com.google.cloud.aiplatform.v1.UpdatePersistentResourceOperationMetadata.Builder | Details of operations that perform update PersistentResource. | 
| com.google.cloud.aiplatform.v1.UpdatePersistentResourceRequest | Request message for UpdatePersistentResource method. | 
| com.google.cloud.aiplatform.v1.UpdatePersistentResourceRequest.Builder | Request message for UpdatePersistentResource method. | 
| com.google.cloud.aiplatform.v1.UpdateRagCorpusOperationMetadata | Runtime operation information for
 VertexRagDataService.UpdateRagCorpus. | 
| com.google.cloud.aiplatform.v1.UpdateRagCorpusOperationMetadata.Builder | Runtime operation information for
 VertexRagDataService.UpdateRagCorpus. | 
| com.google.cloud.aiplatform.v1.UpdateRagCorpusRequest | Request message for
 VertexRagDataService.UpdateRagCorpus. | 
| com.google.cloud.aiplatform.v1.UpdateRagCorpusRequest.Builder | Request message for
 VertexRagDataService.UpdateRagCorpus. | 
| com.google.cloud.aiplatform.v1.UpdateRagEngineConfigOperationMetadata | Runtime operation information for
 VertexRagDataService.UpdateRagEngineConfig. | 
| com.google.cloud.aiplatform.v1.UpdateRagEngineConfigOperationMetadata.Builder | Runtime operation information for
 VertexRagDataService.UpdateRagEngineConfig. | 
| com.google.cloud.aiplatform.v1.UpdateRagEngineConfigRequest | Request message for
 VertexRagDataService.UpdateRagEngineConfig. | 
| com.google.cloud.aiplatform.v1.UpdateRagEngineConfigRequest.Builder | Request message for
 VertexRagDataService.UpdateRagEngineConfig. | 
| com.google.cloud.aiplatform.v1.UpdateReasoningEngineOperationMetadata | Details of
 ReasoningEngineService.UpdateReasoningEngine
 operation. | 
| com.google.cloud.aiplatform.v1.UpdateReasoningEngineOperationMetadata.Builder | Details of
 ReasoningEngineService.UpdateReasoningEngine
 operation. | 
| com.google.cloud.aiplatform.v1.UpdateReasoningEngineRequest | Request message for
 ReasoningEngineService.UpdateReasoningEngine. | 
| com.google.cloud.aiplatform.v1.UpdateReasoningEngineRequest.Builder | Request message for
 ReasoningEngineService.UpdateReasoningEngine. | 
| com.google.cloud.aiplatform.v1.UpdateScheduleRequest | Request message for
 ScheduleService.UpdateSchedule. | 
| com.google.cloud.aiplatform.v1.UpdateScheduleRequest.Builder | Request message for
 ScheduleService.UpdateSchedule. | 
| com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata | Runtime operation metadata for
 SpecialistPoolService.UpdateSpecialistPool. | 
| com.google.cloud.aiplatform.v1.UpdateSpecialistPoolOperationMetadata.Builder | Runtime operation metadata for
 SpecialistPoolService.UpdateSpecialistPool. | 
| com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest | Request message for
 SpecialistPoolService.UpdateSpecialistPool. | 
| com.google.cloud.aiplatform.v1.UpdateSpecialistPoolRequest.Builder | Request message for
 SpecialistPoolService.UpdateSpecialistPool. | 
| com.google.cloud.aiplatform.v1.UpdateTensorboardExperimentRequest | Request message for
 TensorboardService.UpdateTensorboardExperiment. | 
| com.google.cloud.aiplatform.v1.UpdateTensorboardExperimentRequest.Builder | Request message for
 TensorboardService.UpdateTensorboardExperiment. | 
| com.google.cloud.aiplatform.v1.UpdateTensorboardOperationMetadata | Details of operations that perform update Tensorboard. | 
| com.google.cloud.aiplatform.v1.UpdateTensorboardOperationMetadata.Builder | Details of operations that perform update Tensorboard. | 
| com.google.cloud.aiplatform.v1.UpdateTensorboardRequest | Request message for
 TensorboardService.UpdateTensorboard. | 
| com.google.cloud.aiplatform.v1.UpdateTensorboardRequest.Builder | Request message for
 TensorboardService.UpdateTensorboard. | 
| com.google.cloud.aiplatform.v1.UpdateTensorboardRunRequest | Request message for
 TensorboardService.UpdateTensorboardRun. | 
| com.google.cloud.aiplatform.v1.UpdateTensorboardRunRequest.Builder | Request message for
 TensorboardService.UpdateTensorboardRun. | 
| com.google.cloud.aiplatform.v1.UpdateTensorboardTimeSeriesRequest | Request message for
 TensorboardService.UpdateTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.UpdateTensorboardTimeSeriesRequest.Builder | Request message for
 TensorboardService.UpdateTensorboardTimeSeries. | 
| com.google.cloud.aiplatform.v1.UpgradeNotebookRuntimeOperationMetadata | Metadata information for
 NotebookService.UpgradeNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.UpgradeNotebookRuntimeOperationMetadata.Builder | Metadata information for
 NotebookService.UpgradeNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.UpgradeNotebookRuntimeRequest | Request message for
 NotebookService.UpgradeNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.UpgradeNotebookRuntimeRequest.Builder | Request message for
 NotebookService.UpgradeNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.UpgradeNotebookRuntimeResponse | Response message for
 NotebookService.UpgradeNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.UpgradeNotebookRuntimeResponse.Builder | Response message for
 NotebookService.UpgradeNotebookRuntime. | 
| com.google.cloud.aiplatform.v1.UploadModelOperationMetadata | Details of
 ModelService.UploadModel
 operation. | 
| com.google.cloud.aiplatform.v1.UploadModelOperationMetadata.Builder | Details of
 ModelService.UploadModel
 operation. | 
| com.google.cloud.aiplatform.v1.UploadModelRequest | Request message for
 ModelService.UploadModel. | 
| com.google.cloud.aiplatform.v1.UploadModelRequest.Builder | Request message for
 ModelService.UploadModel. | 
| com.google.cloud.aiplatform.v1.UploadModelResponse | Response message of
 ModelService.UploadModel
 operation. | 
| com.google.cloud.aiplatform.v1.UploadModelResponse.Builder | Response message of
 ModelService.UploadModel
 operation. | 
| com.google.cloud.aiplatform.v1.UploadRagFileConfig | Config for uploading RagFile. | 
| com.google.cloud.aiplatform.v1.UploadRagFileConfig.Builder | Config for uploading RagFile. | 
| com.google.cloud.aiplatform.v1.UploadRagFileRequest | Request message for
 VertexRagDataService.UploadRagFile. | 
| com.google.cloud.aiplatform.v1.UploadRagFileRequest.Builder | Request message for
 VertexRagDataService.UploadRagFile. | 
| com.google.cloud.aiplatform.v1.UploadRagFileResponse | Response message for
 VertexRagDataService.UploadRagFile. | 
| com.google.cloud.aiplatform.v1.UploadRagFileResponse.Builder | Response message for
 VertexRagDataService.UploadRagFile. | 
| com.google.cloud.aiplatform.v1.UpsertDatapointsRequest | Request message for
 IndexService.UpsertDatapoints | 
| com.google.cloud.aiplatform.v1.UpsertDatapointsRequest.Builder | Request message for
 IndexService.UpsertDatapoints | 
| com.google.cloud.aiplatform.v1.UpsertDatapointsResponse | Response message for
 IndexService.UpsertDatapoints | 
| com.google.cloud.aiplatform.v1.UpsertDatapointsResponse.Builder | Response message for
 IndexService.UpsertDatapoints | 
| com.google.cloud.aiplatform.v1.UrlContext | Tool to support URL context. | 
| com.google.cloud.aiplatform.v1.UrlContext.Builder | Tool to support URL context. | 
| com.google.cloud.aiplatform.v1.UrlContextMetadata | Metadata related to url context retrieval tool. | 
| com.google.cloud.aiplatform.v1.UrlContextMetadata.Builder | Metadata related to url context retrieval tool. | 
| com.google.cloud.aiplatform.v1.UrlMetadata | Context of the a single url retrieval. | 
| com.google.cloud.aiplatform.v1.UrlMetadata.Builder | Context of the a single url retrieval. | 
| com.google.cloud.aiplatform.v1.UserActionReference | References an API call. It contains more information about long running
 operation and Jobs that are triggered by the API call. | 
| com.google.cloud.aiplatform.v1.UserActionReference.Builder | References an API call. It contains more information about long running
 operation and Jobs that are triggered by the API call. | 
| com.google.cloud.aiplatform.v1.UserActionReferenceProto |  | 
| com.google.cloud.aiplatform.v1.Value | Value is the value of the field. | 
| com.google.cloud.aiplatform.v1.Value.Builder | Value is the value of the field. | 
| com.google.cloud.aiplatform.v1.ValueProto |  | 
| com.google.cloud.aiplatform.v1.VertexAISearch | Retrieve from Vertex AI Search datastore or engine for grounding.
 datastore and engine are mutually exclusive.
 See https://cloud.google.com/products/agent-builder | 
| com.google.cloud.aiplatform.v1.VertexAISearch.Builder | Retrieve from Vertex AI Search datastore or engine for grounding.
 datastore and engine are mutually exclusive.
 See https://cloud.google.com/products/agent-builder | 
| com.google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec | Define data stores within engine to filter on in a search call and
 configurations for those data stores. For more information, see
 https://cloud.google.com/generative-ai-app-builder/docs/reference/rpc/google.cloud.discoveryengine.v1#datastorespec | 
| com.google.cloud.aiplatform.v1.VertexAISearch.DataStoreSpec.Builder | Define data stores within engine to filter on in a search call and
 configurations for those data stores. For more information, see
 https://cloud.google.com/generative-ai-app-builder/docs/reference/rpc/google.cloud.discoveryengine.v1#datastorespec | 
| com.google.cloud.aiplatform.v1.VertexAiSearchConfig | Config for the Vertex AI Search. | 
| com.google.cloud.aiplatform.v1.VertexAiSearchConfig.Builder | Config for the Vertex AI Search. | 
| com.google.cloud.aiplatform.v1.VertexRagDataProto |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceClient.ListRagCorporaFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceClient.ListRagCorporaPage |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceClient.ListRagCorporaPagedResponse |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceClient.ListRagFilesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceClient.ListRagFilesPage |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceClient.ListRagFilesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceGrpc | A service for managing user data for RAG. | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceGrpc.VertexRagDataServiceImplBase | Base class for the server implementation of the service VertexRagDataService.
 A service for managing user data for RAG. | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceProto |  | 
| com.google.cloud.aiplatform.v1.VertexRagDataServiceSettings.Builder | Builder for VertexRagDataServiceSettings. | 
| com.google.cloud.aiplatform.v1.VertexRagServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.VertexRagServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.VertexRagServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.VertexRagServiceGrpc | A service for retrieving relevant contexts. | 
| com.google.cloud.aiplatform.v1.VertexRagServiceGrpc.VertexRagServiceImplBase | Base class for the server implementation of the service VertexRagService.
 A service for retrieving relevant contexts. | 
| com.google.cloud.aiplatform.v1.VertexRagServiceProto |  | 
| com.google.cloud.aiplatform.v1.VertexRagServiceSettings.Builder | Builder for VertexRagServiceSettings. | 
| com.google.cloud.aiplatform.v1.VertexRagStore | Retrieve from Vertex RAG Store for grounding. | 
| com.google.cloud.aiplatform.v1.VertexRagStore.Builder | Retrieve from Vertex RAG Store for grounding. | 
| com.google.cloud.aiplatform.v1.VertexRagStore.RagResource | The definition of the Rag resource. | 
| com.google.cloud.aiplatform.v1.VertexRagStore.RagResource.Builder | The definition of the Rag resource. | 
| com.google.cloud.aiplatform.v1.VideoMetadata | Metadata describes the input video content. | 
| com.google.cloud.aiplatform.v1.VideoMetadata.Builder | Metadata describes the input video content. | 
| com.google.cloud.aiplatform.v1.VizierServiceClient.ListLocationsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.VizierServiceClient.ListLocationsPage |  | 
| com.google.cloud.aiplatform.v1.VizierServiceClient.ListLocationsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.VizierServiceClient.ListStudiesFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.VizierServiceClient.ListStudiesPage |  | 
| com.google.cloud.aiplatform.v1.VizierServiceClient.ListStudiesPagedResponse |  | 
| com.google.cloud.aiplatform.v1.VizierServiceClient.ListTrialsFixedSizeCollection |  | 
| com.google.cloud.aiplatform.v1.VizierServiceClient.ListTrialsPage |  | 
| com.google.cloud.aiplatform.v1.VizierServiceClient.ListTrialsPagedResponse |  | 
| com.google.cloud.aiplatform.v1.VizierServiceGrpc | Vertex AI Vizier API.
 Vertex AI Vizier is a service to solve blackbox optimization problems,
 such as tuning machine learning hyperparameters and searching over deep | 
| com.google.cloud.aiplatform.v1.VizierServiceGrpc.VizierServiceImplBase | Base class for the server implementation of the service VizierService.
 Vertex AI Vizier API. | 
| com.google.cloud.aiplatform.v1.VizierServiceProto |  | 
| com.google.cloud.aiplatform.v1.VizierServiceSettings.Builder | Builder for VizierServiceSettings. | 
| com.google.cloud.aiplatform.v1.WorkerPoolSpec | Represents the spec of a worker pool in a job. | 
| com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder | Represents the spec of a worker pool in a job. | 
| com.google.cloud.aiplatform.v1.WriteFeatureValuesPayload | Contains Feature values to be written for a specific entity. | 
| com.google.cloud.aiplatform.v1.WriteFeatureValuesPayload.Builder | Contains Feature values to be written for a specific entity. | 
| com.google.cloud.aiplatform.v1.WriteFeatureValuesRequest | Request message for
 FeaturestoreOnlineServingService.WriteFeatureValues. | 
| com.google.cloud.aiplatform.v1.WriteFeatureValuesRequest.Builder | Request message for
 FeaturestoreOnlineServingService.WriteFeatureValues. | 
| com.google.cloud.aiplatform.v1.WriteFeatureValuesResponse | Response message for
 FeaturestoreOnlineServingService.WriteFeatureValues. | 
| com.google.cloud.aiplatform.v1.WriteFeatureValuesResponse.Builder | Response message for
 FeaturestoreOnlineServingService.WriteFeatureValues. | 
| com.google.cloud.aiplatform.v1.WriteTensorboardExperimentDataRequest | Request message for
 TensorboardService.WriteTensorboardExperimentData. | 
| com.google.cloud.aiplatform.v1.WriteTensorboardExperimentDataRequest.Builder | Request message for
 TensorboardService.WriteTensorboardExperimentData. | 
| com.google.cloud.aiplatform.v1.WriteTensorboardExperimentDataResponse | Response message for
 TensorboardService.WriteTensorboardExperimentData. | 
| com.google.cloud.aiplatform.v1.WriteTensorboardExperimentDataResponse.Builder | Response message for
 TensorboardService.WriteTensorboardExperimentData. | 
| com.google.cloud.aiplatform.v1.WriteTensorboardRunDataRequest | Request message for
 TensorboardService.WriteTensorboardRunData. | 
| com.google.cloud.aiplatform.v1.WriteTensorboardRunDataRequest.Builder | Request message for
 TensorboardService.WriteTensorboardRunData. | 
| com.google.cloud.aiplatform.v1.WriteTensorboardRunDataResponse | Response message for
 TensorboardService.WriteTensorboardRunData. | 
| com.google.cloud.aiplatform.v1.WriteTensorboardRunDataResponse.Builder | Response message for
 TensorboardService.WriteTensorboardRunData. | 
| com.google.cloud.aiplatform.v1.XraiAttribution | An explanation method that redistributes Integrated Gradients
 attributions to segmented regions, taking advantage of the model's fully
 differentiable structure. Refer to this paper for more details: | 
| com.google.cloud.aiplatform.v1.XraiAttribution.Builder | An explanation method that redistributes Integrated Gradients
 attributions to segmented regions, taking advantage of the model's fully
 differentiable structure. Refer to this paper for more details: |