| Class | Description |
|---|---|
| AcceleratorTypeProto | |
| ActiveLearningConfig |
Parameters that configure the active learning pipeline.
|
| ActiveLearningConfig.Builder |
Parameters that configure the active learning pipeline.
|
| AddContextArtifactsAndExecutionsRequest |
Request message for
[MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
|
| AddContextArtifactsAndExecutionsRequest.Builder |
Request message for
[MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
|
| AddContextArtifactsAndExecutionsResponse |
Response message for
[MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
|
| AddContextArtifactsAndExecutionsResponse.Builder |
Response message for
[MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions].
|
| AddContextChildrenRequest |
Request message for
[MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
|
| AddContextChildrenRequest.Builder |
Request message for
[MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
|
| AddContextChildrenResponse |
Response message for
[MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
|
| AddContextChildrenResponse.Builder |
Response message for
[MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren].
|
| AddExecutionEventsRequest |
Request message for
[MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
|
| AddExecutionEventsRequest.Builder |
Request message for
[MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
|
| AddExecutionEventsResponse |
Response message for
[MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
|
| AddExecutionEventsResponse.Builder |
Response message for
[MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents].
|
| AddTrialMeasurementRequest |
Request message for
[VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
|
| AddTrialMeasurementRequest.Builder |
Request message for
[VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1.VizierService.AddTrialMeasurement].
|
| Annotation |
Used to assign specific AnnotationSpec to a particular area of a DataItem or
the whole part of the DataItem.
|
| Annotation.Builder |
Used to assign specific AnnotationSpec to a particular area of a DataItem or
the whole part of the DataItem.
|
| AnnotationProto | |
| AnnotationSpec |
Identifies a concept with which DataItems may be annotated with.
|
| AnnotationSpec.Builder |
Identifies a concept with which DataItems may be annotated with.
|
| AnnotationSpecName | |
| AnnotationSpecName.Builder |
Builder for
projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}.
|
| AnnotationSpecProto | |
| ApiAuth |
The generic reusable api auth config.
|
| ApiAuth.ApiKeyConfig |
The API secret.
|
| ApiAuth.ApiKeyConfig.Builder |
The API secret.
|
| ApiAuth.Builder |
The generic reusable api auth config.
|
| ApiAuthProto | |
| Artifact |
Instance of a general artifact.
|
| Artifact.Builder |
Instance of a general artifact.
|
| ArtifactName | |
| ArtifactName.Builder |
Builder for
projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.
|
| ArtifactProto | |
| AssignNotebookRuntimeOperationMetadata |
Metadata information for
[NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.AssignNotebookRuntime].
|
| AssignNotebookRuntimeOperationMetadata.Builder |
Metadata information for
[NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.AssignNotebookRuntime].
|
| AssignNotebookRuntimeRequest |
Request message for
[NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.AssignNotebookRuntime].
|
| AssignNotebookRuntimeRequest.Builder |
Request message for
[NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.AssignNotebookRuntime].
|
| Attribution |
Attribution that explains a particular prediction output.
|
| Attribution.Builder |
Attribution that explains a particular prediction output.
|
| AugmentPromptRequest |
Request message for AugmentPrompt.
|
| AugmentPromptRequest.Builder |
Request message for AugmentPrompt.
|
| AugmentPromptRequest.Model |
Metadata of the backend deployed model.
|
| AugmentPromptRequest.Model.Builder |
Metadata of the backend deployed model.
|
| AugmentPromptResponse |
Response message for AugmentPrompt.
|
| AugmentPromptResponse.Builder |
Response message for AugmentPrompt.
|
| AutomaticResources |
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
|
| AutomaticResources.Builder |
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
|
| 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.
|
| 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.
|
| AvroSource |
The storage details for Avro input content.
|
| AvroSource.Builder |
The storage details for Avro input content.
|
| BatchCancelPipelineJobsOperationMetadata |
Runtime operation information for
[PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs].
|
| BatchCancelPipelineJobsOperationMetadata.Builder |
Runtime operation information for
[PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs].
|
| BatchCancelPipelineJobsRequest |
Request message for
[PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs].
|
| BatchCancelPipelineJobsRequest.Builder |
Request message for
[PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs].
|
| BatchCancelPipelineJobsResponse |
Response message for
[PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs].
|
| BatchCancelPipelineJobsResponse.Builder |
Response message for
[PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs].
|
| BatchCreateFeaturesOperationMetadata |
Details of operations that perform batch create Features.
|
| BatchCreateFeaturesOperationMetadata.Builder |
Details of operations that perform batch create Features.
|
| BatchCreateFeaturesRequest |
Request message for
[FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
|
| BatchCreateFeaturesRequest.Builder |
Request message for
[FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
|
| BatchCreateFeaturesResponse |
Response message for
[FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
|
| BatchCreateFeaturesResponse.Builder |
Response message for
[FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
|
| BatchCreateTensorboardRunsRequest |
Request message for
[TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
|
| BatchCreateTensorboardRunsRequest.Builder |
Request message for
[TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
|
| BatchCreateTensorboardRunsResponse |
Response message for
[TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
|
| BatchCreateTensorboardRunsResponse.Builder |
Response message for
[TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardRuns].
|
| BatchCreateTensorboardTimeSeriesRequest |
Request message for
[TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
|
| BatchCreateTensorboardTimeSeriesRequest.Builder |
Request message for
[TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
|
| BatchCreateTensorboardTimeSeriesResponse |
Response message for
[TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
|
| BatchCreateTensorboardTimeSeriesResponse.Builder |
Response message for
[TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.BatchCreateTensorboardTimeSeries].
|
| BatchDedicatedResources |
A description of resources that are used for performing batch operations, are
dedicated to a Model, and need manual configuration.
|
| BatchDedicatedResources.Builder |
A description of resources that are used for performing batch operations, are
dedicated to a Model, and need manual configuration.
|
| BatchDeletePipelineJobsRequest |
Request message for
[PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchDeletePipelineJobs].
|
| BatchDeletePipelineJobsRequest.Builder |
Request message for
[PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchDeletePipelineJobs].
|
| BatchDeletePipelineJobsResponse |
Response message for
[PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchDeletePipelineJobs].
|
| BatchDeletePipelineJobsResponse.Builder |
Response message for
[PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchDeletePipelineJobs].
|
| BatchImportEvaluatedAnnotationsRequest |
Request message for
[ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]
Protobuf type
google.cloud.aiplatform.v1.BatchImportEvaluatedAnnotationsRequest |
| BatchImportEvaluatedAnnotationsRequest.Builder |
Request message for
[ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]
Protobuf type
google.cloud.aiplatform.v1.BatchImportEvaluatedAnnotationsRequest |
| BatchImportEvaluatedAnnotationsResponse |
Response message for
[ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]
Protobuf type
google.cloud.aiplatform.v1.BatchImportEvaluatedAnnotationsResponse |
| BatchImportEvaluatedAnnotationsResponse.Builder |
Response message for
[ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]
Protobuf type
google.cloud.aiplatform.v1.BatchImportEvaluatedAnnotationsResponse |
| BatchImportModelEvaluationSlicesRequest |
Request message for
[ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
Protobuf type
google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest |
| BatchImportModelEvaluationSlicesRequest.Builder |
Request message for
[ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
Protobuf type
google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest |
| BatchImportModelEvaluationSlicesResponse |
Response message for
[ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
Protobuf type
google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse |
| BatchImportModelEvaluationSlicesResponse.Builder |
Response message for
[ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
Protobuf type
google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse |
| BatchMigrateResourcesOperationMetadata |
Runtime operation information for
[MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchMigrateResourcesOperationMetadata.Builder |
Runtime operation information for
[MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchMigrateResourcesOperationMetadata.PartialResult |
Represents a partial result in batch migration operation for one
[MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
|
| BatchMigrateResourcesOperationMetadata.PartialResult.Builder |
Represents a partial result in batch migration operation for one
[MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
|
| BatchMigrateResourcesRequest |
Request message for
[MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchMigrateResourcesRequest.Builder |
Request message for
[MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchMigrateResourcesResponse |
Response message for
[MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchMigrateResourcesResponse.Builder |
Response message for
[MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchPredictionJob |
A job that uses a
[Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce
predictions on multiple [input
instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
|
| BatchPredictionJob.Builder |
A job that uses a
[Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce
predictions on multiple [input
instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
|
| BatchPredictionJob.InputConfig |
Configures the input to
[BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| BatchPredictionJob.InputConfig.Builder |
Configures the input to
[BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| BatchPredictionJob.InstanceConfig |
Configuration defining how to transform batch prediction input instances to
the instances that the Model accepts.
|
| BatchPredictionJob.InstanceConfig.Builder |
Configuration defining how to transform batch prediction input instances to
the instances that the Model accepts.
|
| BatchPredictionJob.OutputConfig |
Configures the output of
[BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| BatchPredictionJob.OutputConfig.Builder |
Configures the output of
[BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| BatchPredictionJob.OutputInfo |
Further describes this job's output.
|
| BatchPredictionJob.OutputInfo.Builder |
Further describes this job's output.
|
| BatchPredictionJobName | |
| BatchPredictionJobName.Builder |
Builder for projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}.
|
| BatchPredictionJobProto | |
| BatchReadFeatureValuesOperationMetadata |
Details of operations that batch reads Feature values.
|
| BatchReadFeatureValuesOperationMetadata.Builder |
Details of operations that batch reads Feature values.
|
| BatchReadFeatureValuesRequest |
Request message for
[FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
|
| BatchReadFeatureValuesRequest.Builder |
Request message for
[FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
|
| BatchReadFeatureValuesRequest.EntityTypeSpec |
Selects Features of an EntityType to read values of and specifies read
settings.
|
| BatchReadFeatureValuesRequest.EntityTypeSpec.Builder |
Selects Features of an EntityType to read values of and specifies read
settings.
|
| BatchReadFeatureValuesRequest.PassThroughField |
Describe pass-through fields in read_instance source.
|
| BatchReadFeatureValuesRequest.PassThroughField.Builder |
Describe pass-through fields in read_instance source.
|
| BatchReadFeatureValuesResponse |
Response message for
[FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
|
| BatchReadFeatureValuesResponse.Builder |
Response message for
[FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
|
| BatchReadTensorboardTimeSeriesDataRequest |
Request message for
[TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].
|
| BatchReadTensorboardTimeSeriesDataRequest.Builder |
Request message for
[TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].
|
| BatchReadTensorboardTimeSeriesDataResponse |
Response message for
[TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].
|
| BatchReadTensorboardTimeSeriesDataResponse.Builder |
Response message for
[TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.BatchReadTensorboardTimeSeriesData].
|
| BigQueryDestination |
The BigQuery location for the output content.
|
| BigQueryDestination.Builder |
The BigQuery location for the output content.
|
| BigQuerySource |
The BigQuery location for the input content.
|
| BigQuerySource.Builder |
The BigQuery location for the input content.
|
| BleuInput |
Input for bleu metric.
|
| BleuInput.Builder |
Input for bleu metric.
|
| BleuInstance |
Spec for bleu instance.
|
| BleuInstance.Builder |
Spec for bleu instance.
|
| BleuMetricValue |
Bleu metric value for an instance.
|
| BleuMetricValue.Builder |
Bleu metric value for an instance.
|
| BleuResults |
Results for bleu metric.
|
| BleuResults.Builder |
Results for bleu metric.
|
| 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.
|
| 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.
|
| Blob |
Content blob.
|
| Blob.Builder |
Content blob.
|
| BlurBaselineConfig |
Config for blur baseline.
|
| BlurBaselineConfig.Builder |
Config for blur baseline.
|
| BoolArray |
A list of boolean values.
|
| BoolArray.Builder |
A list of boolean values.
|
| CachedContent |
A resource used in LLM queries for users to explicitly specify what to cache
and how to cache.
|
| CachedContent.Builder |
A resource used in LLM queries for users to explicitly specify what to cache
and how to cache.
|
| CachedContent.UsageMetadata |
Metadata on the usage of the cached content.
|
| CachedContent.UsageMetadata.Builder |
Metadata on the usage of the cached content.
|
| CachedContentName | |
| CachedContentName.Builder |
Builder for projects/{project}/locations/{location}/cachedContents/{cached_content}.
|
| CachedContentProto | |
| CancelBatchPredictionJobRequest |
Request message for
[JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
|
| CancelBatchPredictionJobRequest.Builder |
Request message for
[JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
|
| CancelCustomJobRequest |
Request message for
[JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
|
| CancelCustomJobRequest.Builder |
Request message for
[JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
|
| CancelDataLabelingJobRequest |
Request message for
[JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
|
| CancelDataLabelingJobRequest.Builder |
Request message for
[JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
|
| CancelHyperparameterTuningJobRequest |
Request message for
[JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
|
| CancelHyperparameterTuningJobRequest.Builder |
Request message for
[JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
|
| CancelNasJobRequest |
Request message for
[JobService.CancelNasJob][google.cloud.aiplatform.v1.JobService.CancelNasJob].
|
| CancelNasJobRequest.Builder |
Request message for
[JobService.CancelNasJob][google.cloud.aiplatform.v1.JobService.CancelNasJob].
|
| CancelPipelineJobRequest |
Request message for
[PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
|
| CancelPipelineJobRequest.Builder |
Request message for
[PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
|
| CancelTrainingPipelineRequest |
Request message for
[PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
|
| CancelTrainingPipelineRequest.Builder |
Request message for
[PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
|
| CancelTuningJobRequest |
Request message for
[GenAiTuningService.CancelTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.CancelTuningJob].
|
| CancelTuningJobRequest.Builder |
Request message for
[GenAiTuningService.CancelTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.CancelTuningJob].
|
| Candidate |
A response candidate generated from the model.
|
| Candidate.Builder |
A response candidate generated from the model.
|
| Checkpoint |
Describes the machine learning model version checkpoint.
|
| Checkpoint.Builder |
Describes the machine learning model version checkpoint.
|
| CheckTrialEarlyStoppingStateMetatdata |
This message will be placed in the metadata field of a
google.longrunning.Operation associated with a CheckTrialEarlyStoppingState
request.
|
| CheckTrialEarlyStoppingStateMetatdata.Builder |
This message will be placed in the metadata field of a
google.longrunning.Operation associated with a CheckTrialEarlyStoppingState
request.
|
| CheckTrialEarlyStoppingStateRequest |
Request message for
[VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
|
| CheckTrialEarlyStoppingStateRequest.Builder |
Request message for
[VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
|
| CheckTrialEarlyStoppingStateResponse |
Response message for
[VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
|
| CheckTrialEarlyStoppingStateResponse.Builder |
Response message for
[VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1.VizierService.CheckTrialEarlyStoppingState].
|
| Citation |
Source attributions for content.
|
| Citation.Builder |
Source attributions for content.
|
| CitationMetadata |
A collection of source attributions for a piece of content.
|
| CitationMetadata.Builder |
A collection of source attributions for a piece of content.
|
| Claim |
Claim that is extracted from the input text and facts that support it.
|
| Claim.Builder |
Claim that is extracted from the input text and facts that support it.
|
| ClientConnectionConfig |
Configurations (e.g. inference timeout) that are applied on your endpoints.
|
| ClientConnectionConfig.Builder |
Configurations (e.g. inference timeout) that are applied on your endpoints.
|
| CodeExecutionResult |
Result of executing the [ExecutableCode].
|
| CodeExecutionResult.Builder |
Result of executing the [ExecutableCode].
|
| CoherenceInput |
Input for coherence metric.
|
| CoherenceInput.Builder |
Input for coherence metric.
|
| CoherenceInstance |
Spec for coherence instance.
|
| CoherenceInstance.Builder |
Spec for coherence instance.
|
| CoherenceResult |
Spec for coherence result.
|
| CoherenceResult.Builder |
Spec for coherence result.
|
| CoherenceSpec |
Spec for coherence score metric.
|
| CoherenceSpec.Builder |
Spec for coherence score metric.
|
| CometInput |
Input for Comet metric.
|
| CometInput.Builder |
Input for Comet metric.
|
| CometInstance |
Spec for Comet instance - The fields used for evaluation are dependent on the
comet version.
|
| CometInstance.Builder |
Spec for Comet instance - The fields used for evaluation are dependent on the
comet version.
|
| CometResult |
Spec for Comet result - calculates the comet score for the given instance
using the version specified in the spec.
|
| CometResult.Builder |
Spec for Comet result - calculates the comet score for the given instance
using the version specified in the spec.
|
| CometSpec |
Spec for Comet metric.
|
| CometSpec.Builder |
Spec for Comet metric.
|
| CompleteTrialRequest |
Request message for
[VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
|
| CompleteTrialRequest.Builder |
Request message for
[VizierService.CompleteTrial][google.cloud.aiplatform.v1.VizierService.CompleteTrial].
|
| CompletionStats |
Success and error statistics of processing multiple entities
(for example, DataItems or structured data rows) in batch.
|
| CompletionStats.Builder |
Success and error statistics of processing multiple entities
(for example, DataItems or structured data rows) in batch.
|
| CompletionStatsProto | |
| ComputeTokensRequest |
Request message for ComputeTokens RPC call.
|
| ComputeTokensRequest.Builder |
Request message for ComputeTokens RPC call.
|
| ComputeTokensResponse |
Response message for ComputeTokens RPC call.
|
| ComputeTokensResponse.Builder |
Response message for ComputeTokens RPC call.
|
| ContainerRegistryDestination |
The Container Registry location for the container image.
|
| ContainerRegistryDestination.Builder |
The Container Registry location for the container image.
|
| ContainerSpec |
The spec of a Container.
|
| ContainerSpec.Builder |
The spec of a Container.
|
| Content |
The base structured datatype containing multi-part content of a message.
|
| Content.Builder |
The base structured datatype containing multi-part content of a message.
|
| ContentProto | |
| Context |
Instance of a general context.
|
| Context.Builder |
Instance of a general context.
|
| ContextName | |
| ContextName.Builder |
Builder for
projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}.
|
| ContextProto | |
| CopyModelOperationMetadata |
Details of
[ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel]
operation.
|
| CopyModelOperationMetadata.Builder |
Details of
[ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel]
operation.
|
| CopyModelRequest |
Request message for
[ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel].
|
| CopyModelRequest.Builder |
Request message for
[ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel].
|
| CopyModelResponse |
Response message of
[ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel]
operation.
|
| CopyModelResponse.Builder |
Response message of
[ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel]
operation.
|
| CorpusStatus |
RagCorpus status.
|
| CorpusStatus.Builder |
RagCorpus status.
|
| CorroborateContentRequest |
Request message for CorroborateContent.
|
| CorroborateContentRequest.Builder |
Request message for CorroborateContent.
|
| CorroborateContentRequest.Parameters |
Parameters that can be overrided per request.
|
| CorroborateContentRequest.Parameters.Builder |
Parameters that can be overrided per request.
|
| CorroborateContentResponse |
Response message for CorroborateContent.
|
| CorroborateContentResponse.Builder |
Response message for CorroborateContent.
|
| CountTokensRequest |
Request message for [PredictionService.CountTokens][].
|
| CountTokensRequest.Builder |
Request message for [PredictionService.CountTokens][].
|
| CountTokensResponse |
Response message for [PredictionService.CountTokens][].
|
| CountTokensResponse.Builder |
Response message for [PredictionService.CountTokens][].
|
| CreateArtifactRequest |
Request message for
[MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
|
| CreateArtifactRequest.Builder |
Request message for
[MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact].
|
| CreateBatchPredictionJobRequest |
Request message for
[JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
|
| CreateBatchPredictionJobRequest.Builder |
Request message for
[JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
|
| CreateCachedContentRequest |
Request message for
[GenAiCacheService.CreateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.CreateCachedContent].
|
| CreateCachedContentRequest.Builder |
Request message for
[GenAiCacheService.CreateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.CreateCachedContent].
|
| CreateContextRequest |
Request message for
[MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
|
| CreateContextRequest.Builder |
Request message for
[MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext].
|
| CreateCustomJobRequest |
Request message for
[JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
|
| CreateCustomJobRequest.Builder |
Request message for
[JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
|
| CreateDataLabelingJobRequest |
Request message for
[JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
|
| CreateDataLabelingJobRequest.Builder |
Request message for
[JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
|
| CreateDatasetOperationMetadata |
Runtime operation information for
[DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
|
| CreateDatasetOperationMetadata.Builder |
Runtime operation information for
[DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
|
| CreateDatasetRequest |
Request message for
[DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
|
| CreateDatasetRequest.Builder |
Request message for
[DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
|
| CreateDatasetVersionOperationMetadata |
Runtime operation information for
[DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion].
|
| CreateDatasetVersionOperationMetadata.Builder |
Runtime operation information for
[DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion].
|
| CreateDatasetVersionRequest |
Request message for
[DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion].
|
| CreateDatasetVersionRequest.Builder |
Request message for
[DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion].
|
| CreateDeploymentResourcePoolOperationMetadata |
Runtime operation information for CreateDeploymentResourcePool method.
|
| CreateDeploymentResourcePoolOperationMetadata.Builder |
Runtime operation information for CreateDeploymentResourcePool method.
|
| CreateDeploymentResourcePoolRequest |
Request message for CreateDeploymentResourcePool method.
|
| CreateDeploymentResourcePoolRequest.Builder |
Request message for CreateDeploymentResourcePool method.
|
| CreateEndpointOperationMetadata |
Runtime operation information for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointOperationMetadata.Builder |
Runtime operation information for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointRequest |
Request message for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointRequest.Builder |
Request message for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEntityTypeOperationMetadata |
Details of operations that perform create EntityType.
|
| CreateEntityTypeOperationMetadata.Builder |
Details of operations that perform create EntityType.
|
| CreateEntityTypeRequest |
Request message for
[FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
|
| CreateEntityTypeRequest.Builder |
Request message for
[FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
|
| CreateExecutionRequest |
Request message for
[MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
|
| CreateExecutionRequest.Builder |
Request message for
[MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution].
|
| CreateFeatureGroupOperationMetadata |
Details of operations that perform create FeatureGroup.
|
| CreateFeatureGroupOperationMetadata.Builder |
Details of operations that perform create FeatureGroup.
|
| CreateFeatureGroupRequest |
Request message for
[FeatureRegistryService.CreateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeatureGroup].
|
| CreateFeatureGroupRequest.Builder |
Request message for
[FeatureRegistryService.CreateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeatureGroup].
|
| CreateFeatureOnlineStoreOperationMetadata |
Details of operations that perform create FeatureOnlineStore.
|
| CreateFeatureOnlineStoreOperationMetadata.Builder |
Details of operations that perform create FeatureOnlineStore.
|
| CreateFeatureOnlineStoreRequest |
Request message for
[FeatureOnlineStoreAdminService.CreateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureOnlineStore].
|
| CreateFeatureOnlineStoreRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.CreateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureOnlineStore].
|
| CreateFeatureOperationMetadata |
Details of operations that perform create Feature.
|
| CreateFeatureOperationMetadata.Builder |
Details of operations that perform create Feature.
|
| CreateFeatureRequest |
Request message for
[FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
|
| CreateFeatureRequest.Builder |
Request message for
[FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
|
| CreateFeaturestoreOperationMetadata |
Details of operations that perform create Featurestore.
|
| CreateFeaturestoreOperationMetadata.Builder |
Details of operations that perform create Featurestore.
|
| CreateFeaturestoreRequest |
Request message for
[FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
|
| CreateFeaturestoreRequest.Builder |
Request message for
[FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
|
| CreateFeatureViewOperationMetadata |
Details of operations that perform create FeatureView.
|
| CreateFeatureViewOperationMetadata.Builder |
Details of operations that perform create FeatureView.
|
| CreateFeatureViewRequest |
Request message for
[FeatureOnlineStoreAdminService.CreateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureView].
|
| CreateFeatureViewRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.CreateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureView].
|
| CreateHyperparameterTuningJobRequest |
Request message for
[JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
|
| CreateHyperparameterTuningJobRequest.Builder |
Request message for
[JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
|
| CreateIndexEndpointOperationMetadata |
Runtime operation information for
[IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
|
| CreateIndexEndpointOperationMetadata.Builder |
Runtime operation information for
[IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
|
| CreateIndexEndpointRequest |
Request message for
[IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
|
| CreateIndexEndpointRequest.Builder |
Request message for
[IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
|
| CreateIndexOperationMetadata |
Runtime operation information for
[IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
|
| CreateIndexOperationMetadata.Builder |
Runtime operation information for
[IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
|
| CreateIndexRequest |
Request message for
[IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
|
| CreateIndexRequest.Builder |
Request message for
[IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
|
| CreateMetadataSchemaRequest |
Request message for
[MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
|
| CreateMetadataSchemaRequest.Builder |
Request message for
[MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema].
|
| CreateMetadataStoreOperationMetadata |
Details of operations that perform
[MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
|
| CreateMetadataStoreOperationMetadata.Builder |
Details of operations that perform
[MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
|
| CreateMetadataStoreRequest |
Request message for
[MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
|
| CreateMetadataStoreRequest.Builder |
Request message for
[MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore].
|
| CreateModelDeploymentMonitoringJobRequest |
Request message for
[JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].
|
| CreateModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].
|
| CreateNasJobRequest |
Request message for
[JobService.CreateNasJob][google.cloud.aiplatform.v1.JobService.CreateNasJob].
|
| CreateNasJobRequest.Builder |
Request message for
[JobService.CreateNasJob][google.cloud.aiplatform.v1.JobService.CreateNasJob].
|
| CreateNotebookExecutionJobOperationMetadata |
Metadata information for
[NotebookService.CreateNotebookExecutionJob][google.cloud.aiplatform.v1.NotebookService.CreateNotebookExecutionJob].
|
| CreateNotebookExecutionJobOperationMetadata.Builder |
Metadata information for
[NotebookService.CreateNotebookExecutionJob][google.cloud.aiplatform.v1.NotebookService.CreateNotebookExecutionJob].
|
| CreateNotebookExecutionJobRequest |
Request message for [NotebookService.CreateNotebookExecutionJob]
Protobuf type
google.cloud.aiplatform.v1.CreateNotebookExecutionJobRequest |
| CreateNotebookExecutionJobRequest.Builder |
Request message for [NotebookService.CreateNotebookExecutionJob]
Protobuf type
google.cloud.aiplatform.v1.CreateNotebookExecutionJobRequest |
| CreateNotebookRuntimeTemplateOperationMetadata |
Metadata information for
[NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.CreateNotebookRuntimeTemplate].
|
| CreateNotebookRuntimeTemplateOperationMetadata.Builder |
Metadata information for
[NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.CreateNotebookRuntimeTemplate].
|
| CreateNotebookRuntimeTemplateRequest |
Request message for
[NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.CreateNotebookRuntimeTemplate].
|
| CreateNotebookRuntimeTemplateRequest.Builder |
Request message for
[NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.CreateNotebookRuntimeTemplate].
|
| CreatePersistentResourceOperationMetadata |
Details of operations that perform create PersistentResource.
|
| CreatePersistentResourceOperationMetadata.Builder |
Details of operations that perform create PersistentResource.
|
| CreatePersistentResourceRequest |
Request message for
[PersistentResourceService.CreatePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.CreatePersistentResource].
|
| CreatePersistentResourceRequest.Builder |
Request message for
[PersistentResourceService.CreatePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.CreatePersistentResource].
|
| CreatePipelineJobRequest |
Request message for
[PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
|
| CreatePipelineJobRequest.Builder |
Request message for
[PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
|
| CreateRagCorpusOperationMetadata |
Runtime operation information for
[VertexRagDataService.CreateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.CreateRagCorpus].
|
| CreateRagCorpusOperationMetadata.Builder |
Runtime operation information for
[VertexRagDataService.CreateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.CreateRagCorpus].
|
| CreateRagCorpusRequest |
Request message for
[VertexRagDataService.CreateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.CreateRagCorpus].
|
| CreateRagCorpusRequest.Builder |
Request message for
[VertexRagDataService.CreateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.CreateRagCorpus].
|
| CreateReasoningEngineOperationMetadata |
Details of
[ReasoningEngineService.CreateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.CreateReasoningEngine]
operation.
|
| CreateReasoningEngineOperationMetadata.Builder |
Details of
[ReasoningEngineService.CreateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.CreateReasoningEngine]
operation.
|
| CreateReasoningEngineRequest |
Request message for
[ReasoningEngineService.CreateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.CreateReasoningEngine].
|
| CreateReasoningEngineRequest.Builder |
Request message for
[ReasoningEngineService.CreateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.CreateReasoningEngine].
|
| CreateRegistryFeatureOperationMetadata |
Details of operations that perform create FeatureGroup.
|
| CreateRegistryFeatureOperationMetadata.Builder |
Details of operations that perform create FeatureGroup.
|
| CreateScheduleRequest |
Request message for
[ScheduleService.CreateSchedule][google.cloud.aiplatform.v1.ScheduleService.CreateSchedule].
|
| CreateScheduleRequest.Builder |
Request message for
[ScheduleService.CreateSchedule][google.cloud.aiplatform.v1.ScheduleService.CreateSchedule].
|
| CreateSpecialistPoolOperationMetadata |
Runtime operation information for
[SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
|
| CreateSpecialistPoolOperationMetadata.Builder |
Runtime operation information for
[SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
|
| CreateSpecialistPoolRequest |
Request message for
[SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
|
| CreateSpecialistPoolRequest.Builder |
Request message for
[SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
|
| CreateStudyRequest |
Request message for
[VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
|
| CreateStudyRequest.Builder |
Request message for
[VizierService.CreateStudy][google.cloud.aiplatform.v1.VizierService.CreateStudy].
|
| CreateTensorboardExperimentRequest |
Request message for
[TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
|
| CreateTensorboardExperimentRequest.Builder |
Request message for
[TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment].
|
| CreateTensorboardOperationMetadata |
Details of operations that perform create Tensorboard.
|
| CreateTensorboardOperationMetadata.Builder |
Details of operations that perform create Tensorboard.
|
| CreateTensorboardRequest |
Request message for
[TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
|
| CreateTensorboardRequest.Builder |
Request message for
[TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard].
|
| CreateTensorboardRunRequest |
Request message for
[TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
|
| CreateTensorboardRunRequest.Builder |
Request message for
[TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardRun].
|
| CreateTensorboardTimeSeriesRequest |
Request message for
[TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
|
| CreateTensorboardTimeSeriesRequest.Builder |
Request message for
[TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardTimeSeries].
|
| CreateTrainingPipelineRequest |
Request message for
[PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
|
| CreateTrainingPipelineRequest.Builder |
Request message for
[PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
|
| CreateTrialRequest |
Request message for
[VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
|
| CreateTrialRequest.Builder |
Request message for
[VizierService.CreateTrial][google.cloud.aiplatform.v1.VizierService.CreateTrial].
|
| CreateTuningJobRequest |
Request message for
[GenAiTuningService.CreateTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.CreateTuningJob].
|
| CreateTuningJobRequest.Builder |
Request message for
[GenAiTuningService.CreateTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.CreateTuningJob].
|
| CsvDestination |
The storage details for CSV output content.
|
| CsvDestination.Builder |
The storage details for CSV output content.
|
| CsvSource |
The storage details for CSV input content.
|
| CsvSource.Builder |
The storage details for CSV input content.
|
| CustomJob |
Represents a job that runs custom workloads such as a Docker container or a
Python package.
|
| CustomJob.Builder |
Represents a job that runs custom workloads such as a Docker container or a
Python package.
|
| CustomJobName | |
| CustomJobName.Builder |
Builder for projects/{project}/locations/{location}/customJobs/{custom_job}.
|
| CustomJobProto | |
| CustomJobSpec |
Represents the spec of a CustomJob.
|
| CustomJobSpec.Builder |
Represents the spec of a CustomJob.
|
| DataItem |
A piece of data in a Dataset.
|
| DataItem.Builder |
A piece of data in a Dataset.
|
| DataItemName | |
| DataItemName.Builder |
Builder for projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}.
|
| DataItemProto | |
| DataItemView |
A container for a single DataItem and Annotations on it.
|
| DataItemView.Builder |
A container for a single DataItem and Annotations on it.
|
| DataLabelingJob |
DataLabelingJob is used to trigger a human labeling job on unlabeled data
from the following Dataset:
Protobuf type
google.cloud.aiplatform.v1.DataLabelingJob |
| DataLabelingJob.Builder |
DataLabelingJob is used to trigger a human labeling job on unlabeled data
from the following Dataset:
Protobuf type
google.cloud.aiplatform.v1.DataLabelingJob |
| DataLabelingJobName | |
| DataLabelingJobName.Builder |
Builder for projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}.
|
| DataLabelingJobProto | |
| Dataset |
A collection of DataItems and Annotations on them.
|
| Dataset.Builder |
A collection of DataItems and Annotations on them.
|
| DatasetName | |
| DatasetName.Builder |
Builder for projects/{project}/locations/{location}/datasets/{dataset}.
|
| DatasetProto | |
| DatasetServiceProto | |
| DatasetVersion |
Describes the dataset version.
|
| DatasetVersion.Builder |
Describes the dataset version.
|
| DatasetVersionName | |
| DatasetVersionName.Builder |
Builder for
projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}.
|
| DatasetVersionProto | |
| DedicatedResources |
A description of resources that are dedicated to a DeployedModel, and
that need a higher degree of manual configuration.
|
| DedicatedResources.Builder |
A description of resources that are dedicated to a DeployedModel, and
that need a higher degree of manual configuration.
|
| DeleteArtifactRequest |
Request message for
[MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
|
| DeleteArtifactRequest.Builder |
Request message for
[MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact].
|
| DeleteBatchPredictionJobRequest |
Request message for
[JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
|
| DeleteBatchPredictionJobRequest.Builder |
Request message for
[JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
|
| DeleteCachedContentRequest |
Request message for
[GenAiCacheService.DeleteCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.DeleteCachedContent].
|
| DeleteCachedContentRequest.Builder |
Request message for
[GenAiCacheService.DeleteCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.DeleteCachedContent].
|
| DeleteContextRequest |
Request message for
[MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
|
| DeleteContextRequest.Builder |
Request message for
[MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext].
|
| DeleteCustomJobRequest |
Request message for
[JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
|
| DeleteCustomJobRequest.Builder |
Request message for
[JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
|
| DeleteDataLabelingJobRequest |
Request message for
[JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
|
| DeleteDataLabelingJobRequest.Builder |
Request message for
[JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
|
| DeleteDatasetRequest |
Request message for
[DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
|
| DeleteDatasetRequest.Builder |
Request message for
[DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
|
| DeleteDatasetVersionRequest |
Request message for
[DatasetService.DeleteDatasetVersion][google.cloud.aiplatform.v1.DatasetService.DeleteDatasetVersion].
|
| DeleteDatasetVersionRequest.Builder |
Request message for
[DatasetService.DeleteDatasetVersion][google.cloud.aiplatform.v1.DatasetService.DeleteDatasetVersion].
|
| DeleteDeploymentResourcePoolRequest |
Request message for DeleteDeploymentResourcePool method.
|
| DeleteDeploymentResourcePoolRequest.Builder |
Request message for DeleteDeploymentResourcePool method.
|
| DeleteEndpointRequest |
Request message for
[EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
|
| DeleteEndpointRequest.Builder |
Request message for
[EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
|
| DeleteEntityTypeRequest |
Request message for
[FeaturestoreService.DeleteEntityType][google.cloud.aiplatform.v1.FeaturestoreService.DeleteEntityType].
|
| DeleteEntityTypeRequest.Builder |
Request message for
[FeaturestoreService.DeleteEntityType][google.cloud.aiplatform.v1.FeaturestoreService.DeleteEntityType].
|
| DeleteExecutionRequest |
Request message for
[MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
|
| DeleteExecutionRequest.Builder |
Request message for
[MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution].
|
| DeleteFeatureGroupRequest |
Request message for
[FeatureRegistryService.DeleteFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeatureGroup].
|
| DeleteFeatureGroupRequest.Builder |
Request message for
[FeatureRegistryService.DeleteFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeatureGroup].
|
| DeleteFeatureOnlineStoreRequest |
Request message for
[FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore].
|
| DeleteFeatureOnlineStoreRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore].
|
| DeleteFeatureRequest |
Request message for
[FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
|
| DeleteFeatureRequest.Builder |
Request message for
[FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
|
| DeleteFeaturestoreRequest |
Request message for
[FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
|
| DeleteFeaturestoreRequest.Builder |
Request message for
[FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
|
| DeleteFeatureValuesOperationMetadata |
Details of operations that delete Feature values.
|
| DeleteFeatureValuesOperationMetadata.Builder |
Details of operations that delete Feature values.
|
| DeleteFeatureValuesRequest |
Request message for
[FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
|
| DeleteFeatureValuesRequest.Builder |
Request message for
[FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
|
| DeleteFeatureValuesRequest.SelectEntity |
Message to select entity.
|
| DeleteFeatureValuesRequest.SelectEntity.Builder |
Message to select entity.
|
| DeleteFeatureValuesRequest.SelectTimeRangeAndFeature |
Message to select time range and feature.
|
| DeleteFeatureValuesRequest.SelectTimeRangeAndFeature.Builder |
Message to select time range and feature.
|
| DeleteFeatureValuesResponse |
Response message for
[FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
|
| DeleteFeatureValuesResponse.Builder |
Response message for
[FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
|
| DeleteFeatureValuesResponse.SelectEntity |
Response message if the request uses the SelectEntity option.
|
| DeleteFeatureValuesResponse.SelectEntity.Builder |
Response message if the request uses the SelectEntity option.
|
| DeleteFeatureValuesResponse.SelectTimeRangeAndFeature |
Response message if the request uses the SelectTimeRangeAndFeature option.
|
| DeleteFeatureValuesResponse.SelectTimeRangeAndFeature.Builder |
Response message if the request uses the SelectTimeRangeAndFeature option.
|
| DeleteFeatureViewRequest |
Request message for
[FeatureOnlineStoreAdminService.DeleteFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureView].
|
| DeleteFeatureViewRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.DeleteFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureView].
|
| DeleteHyperparameterTuningJobRequest |
Request message for
[JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
|
| DeleteHyperparameterTuningJobRequest.Builder |
Request message for
[JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
|
| DeleteIndexEndpointRequest |
Request message for
[IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
|
| DeleteIndexEndpointRequest.Builder |
Request message for
[IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
|
| DeleteIndexRequest |
Request message for
[IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
|
| DeleteIndexRequest.Builder |
Request message for
[IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
|
| DeleteMetadataStoreOperationMetadata |
Details of operations that perform
[MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
|
| DeleteMetadataStoreOperationMetadata.Builder |
Details of operations that perform
[MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
|
| DeleteMetadataStoreRequest |
Request message for
[MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
|
| DeleteMetadataStoreRequest.Builder |
Request message for
[MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore].
|
| DeleteModelDeploymentMonitoringJobRequest |
Request message for
[JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob].
|
| DeleteModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob].
|
| DeleteModelRequest |
Request message for
[ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
|
| DeleteModelRequest.Builder |
Request message for
[ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
|
| DeleteModelVersionRequest |
Request message for
[ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
|
| DeleteModelVersionRequest.Builder |
Request message for
[ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
|
| DeleteNasJobRequest |
Request message for
[JobService.DeleteNasJob][google.cloud.aiplatform.v1.JobService.DeleteNasJob].
|
| DeleteNasJobRequest.Builder |
Request message for
[JobService.DeleteNasJob][google.cloud.aiplatform.v1.JobService.DeleteNasJob].
|
| DeleteNotebookExecutionJobRequest |
Request message for [NotebookService.DeleteNotebookExecutionJob]
Protobuf type
google.cloud.aiplatform.v1.DeleteNotebookExecutionJobRequest |
| DeleteNotebookExecutionJobRequest.Builder |
Request message for [NotebookService.DeleteNotebookExecutionJob]
Protobuf type
google.cloud.aiplatform.v1.DeleteNotebookExecutionJobRequest |
| DeleteNotebookRuntimeRequest |
Request message for
[NotebookService.DeleteNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.DeleteNotebookRuntime].
|
| DeleteNotebookRuntimeRequest.Builder |
Request message for
[NotebookService.DeleteNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.DeleteNotebookRuntime].
|
| DeleteNotebookRuntimeTemplateRequest |
Request message for
[NotebookService.DeleteNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.DeleteNotebookRuntimeTemplate].
|
| DeleteNotebookRuntimeTemplateRequest.Builder |
Request message for
[NotebookService.DeleteNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.DeleteNotebookRuntimeTemplate].
|
| DeleteOperationMetadata |
Details of operations that perform deletes of any entities.
|
| DeleteOperationMetadata.Builder |
Details of operations that perform deletes of any entities.
|
| DeletePersistentResourceRequest |
Request message for
[PersistentResourceService.DeletePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.DeletePersistentResource].
|
| DeletePersistentResourceRequest.Builder |
Request message for
[PersistentResourceService.DeletePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.DeletePersistentResource].
|
| DeletePipelineJobRequest |
Request message for
[PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
|
| DeletePipelineJobRequest.Builder |
Request message for
[PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
|
| DeleteRagCorpusRequest |
Request message for
[VertexRagDataService.DeleteRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.DeleteRagCorpus].
|
| DeleteRagCorpusRequest.Builder |
Request message for
[VertexRagDataService.DeleteRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.DeleteRagCorpus].
|
| DeleteRagFileRequest |
Request message for
[VertexRagDataService.DeleteRagFile][google.cloud.aiplatform.v1.VertexRagDataService.DeleteRagFile].
|
| DeleteRagFileRequest.Builder |
Request message for
[VertexRagDataService.DeleteRagFile][google.cloud.aiplatform.v1.VertexRagDataService.DeleteRagFile].
|
| DeleteReasoningEngineRequest |
Request message for
[ReasoningEngineService.DeleteReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.DeleteReasoningEngine].
|
| DeleteReasoningEngineRequest.Builder |
Request message for
[ReasoningEngineService.DeleteReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.DeleteReasoningEngine].
|
| DeleteSavedQueryRequest |
Request message for
[DatasetService.DeleteSavedQuery][google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery].
|
| DeleteSavedQueryRequest.Builder |
Request message for
[DatasetService.DeleteSavedQuery][google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery].
|
| DeleteScheduleRequest |
Request message for
[ScheduleService.DeleteSchedule][google.cloud.aiplatform.v1.ScheduleService.DeleteSchedule].
|
| DeleteScheduleRequest.Builder |
Request message for
[ScheduleService.DeleteSchedule][google.cloud.aiplatform.v1.ScheduleService.DeleteSchedule].
|
| DeleteSpecialistPoolRequest |
Request message for
[SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
|
| DeleteSpecialistPoolRequest.Builder |
Request message for
[SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
|
| DeleteStudyRequest |
Request message for
[VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
|
| DeleteStudyRequest.Builder |
Request message for
[VizierService.DeleteStudy][google.cloud.aiplatform.v1.VizierService.DeleteStudy].
|
| DeleteTensorboardExperimentRequest |
Request message for
[TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
|
| DeleteTensorboardExperimentRequest.Builder |
Request message for
[TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardExperiment].
|
| DeleteTensorboardRequest |
Request message for
[TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
|
| DeleteTensorboardRequest.Builder |
Request message for
[TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard].
|
| DeleteTensorboardRunRequest |
Request message for
[TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
|
| DeleteTensorboardRunRequest.Builder |
Request message for
[TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardRun].
|
| DeleteTensorboardTimeSeriesRequest |
Request message for
[TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
|
| DeleteTensorboardTimeSeriesRequest.Builder |
Request message for
[TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboardTimeSeries].
|
| DeleteTrainingPipelineRequest |
Request message for
[PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
|
| DeleteTrainingPipelineRequest.Builder |
Request message for
[PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
|
| DeleteTrialRequest |
Request message for
[VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
|
| DeleteTrialRequest.Builder |
Request message for
[VizierService.DeleteTrial][google.cloud.aiplatform.v1.VizierService.DeleteTrial].
|
| DeployedIndex |
A deployment of an Index.
|
| DeployedIndex.Builder |
A deployment of an Index.
|
| DeployedIndexAuthConfig |
Used to set up the auth on the DeployedIndex's private endpoint.
|
| DeployedIndexAuthConfig.AuthProvider |
Configuration for an authentication provider, including support for
[JSON Web Token
(JWT)](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32).
|
| DeployedIndexAuthConfig.AuthProvider.Builder |
Configuration for an authentication provider, including support for
[JSON Web Token
(JWT)](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32).
|
| DeployedIndexAuthConfig.Builder |
Used to set up the auth on the DeployedIndex's private endpoint.
|
| DeployedIndexRef |
Points to a DeployedIndex.
|
| DeployedIndexRef.Builder |
Points to a DeployedIndex.
|
| DeployedIndexRefProto | |
| DeployedModel |
A deployment of a Model.
|
| DeployedModel.Builder |
A deployment of a Model.
|
| DeployedModel.Status |
Runtime status of the deployed model.
|
| DeployedModel.Status.Builder |
Runtime status of the deployed model.
|
| DeployedModelNameProto | |
| DeployedModelRef |
Points to a DeployedModel.
|
| DeployedModelRef.Builder |
Points to a DeployedModel.
|
| DeployIndexOperationMetadata |
Runtime operation information for
[IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployIndexOperationMetadata.Builder |
Runtime operation information for
[IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployIndexRequest |
Request message for
[IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployIndexRequest.Builder |
Request message for
[IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployIndexResponse |
Response message for
[IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployIndexResponse.Builder |
Response message for
[IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeploymentResourcePool |
A description of resources that can be shared by multiple DeployedModels,
whose underlying specification consists of a DedicatedResources.
|
| DeploymentResourcePool.Builder |
A description of resources that can be shared by multiple DeployedModels,
whose underlying specification consists of a DedicatedResources.
|
| DeploymentResourcePoolName | |
| DeploymentResourcePoolName.Builder |
Builder for
projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}.
|
| DeploymentResourcePoolProto | |
| DeploymentResourcePoolServiceProto | |
| DeployModelOperationMetadata |
Runtime operation information for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelOperationMetadata.Builder |
Runtime operation information for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelRequest |
Request message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelRequest.Builder |
Request message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelResponse |
Response message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelResponse.Builder |
Response message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DestinationFeatureSetting |
Protobuf type
google.cloud.aiplatform.v1.DestinationFeatureSetting |
| DestinationFeatureSetting.Builder |
Protobuf type
google.cloud.aiplatform.v1.DestinationFeatureSetting |
| DirectPredictRequest |
Request message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectPredictRequest.Builder |
Request message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectPredictResponse |
Response message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectPredictResponse.Builder |
Response message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectRawPredictRequest |
Request message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectRawPredictRequest.Builder |
Request message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectRawPredictResponse |
Response message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectRawPredictResponse.Builder |
Response message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectUploadSource |
The input content is encapsulated and uploaded in the request.
|
| DirectUploadSource.Builder |
The input content is encapsulated and uploaded in the request.
|
| DiskSpec |
Represents the spec of disk options.
|
| DiskSpec.Builder |
Represents the spec of disk options.
|
| DoubleArray |
A list of double values.
|
| DoubleArray.Builder |
A list of double values.
|
| DynamicRetrievalConfig |
Describes the options to customize dynamic retrieval.
|
| DynamicRetrievalConfig.Builder |
Describes the options to customize dynamic retrieval.
|
| EncryptionSpec |
Represents a customer-managed encryption key spec that can be applied to
a top-level resource.
|
| EncryptionSpec.Builder |
Represents a customer-managed encryption key spec that can be applied to
a top-level resource.
|
| EncryptionSpecProto | |
| Endpoint |
Models are deployed into it, and afterwards Endpoint is called to obtain
predictions and explanations.
|
| Endpoint.Builder |
Models are deployed into it, and afterwards Endpoint is called to obtain
predictions and explanations.
|
| EndpointName | |
| EndpointName.Builder |
Builder for projects/{project}/locations/{location}/endpoints/{endpoint}.
|
| EndpointName.ProjectLocationPublisherModelBuilder |
Builder for projects/{project}/locations/{location}/publishers/{publisher}/models/{model}.
|
| EndpointProto | |
| EndpointServiceProto | |
| EnterpriseWebSearch |
Tool to search public web data, powered by Vertex AI Search and Sec4
compliance.
|
| EnterpriseWebSearch.Builder |
Tool to search public web data, powered by Vertex AI Search and Sec4
compliance.
|
| EntityIdSelector |
Selector for entityId.
|
| EntityIdSelector.Builder |
Selector for entityId.
|
| EntityType |
An entity type is a type of object in a system that needs to be modeled and
have stored information about.
|
| EntityType.Builder |
An entity type is a type of object in a system that needs to be modeled and
have stored information about.
|
| EntityTypeName | |
| EntityTypeName.Builder |
Builder for
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}.
|
| EntityTypeProto | |
| EnvVar |
Represents an environment variable present in a Container or Python Module.
|
| EnvVar.Builder |
Represents an environment variable present in a Container or Python Module.
|
| EnvVarProto | |
| ErrorAnalysisAnnotation |
Model error analysis for each annotation.
|
| ErrorAnalysisAnnotation.AttributedItem |
Attributed items for a given annotation, typically representing neighbors
from the training sets constrained by the query type.
|
| ErrorAnalysisAnnotation.AttributedItem.Builder |
Attributed items for a given annotation, typically representing neighbors
from the training sets constrained by the query type.
|
| ErrorAnalysisAnnotation.Builder |
Model error analysis for each annotation.
|
| EvaluatedAnnotation |
True positive, false positive, or false negative.
|
| EvaluatedAnnotation.Builder |
True positive, false positive, or false negative.
|
| EvaluatedAnnotationExplanation |
Explanation result of the prediction produced by the Model.
|
| EvaluatedAnnotationExplanation.Builder |
Explanation result of the prediction produced by the Model.
|
| EvaluatedAnnotationProto | |
| EvaluateInstancesRequest |
Request message for EvaluationService.EvaluateInstances.
|
| EvaluateInstancesRequest.Builder |
Request message for EvaluationService.EvaluateInstances.
|
| EvaluateInstancesResponse |
Response message for EvaluationService.EvaluateInstances.
|
| EvaluateInstancesResponse.Builder |
Response message for EvaluationService.EvaluateInstances.
|
| EvaluationServiceProto | |
| Event |
An edge describing the relationship between an Artifact and an Execution in
a lineage graph.
|
| Event.Builder |
An edge describing the relationship between an Artifact and an Execution in
a lineage graph.
|
| EventProto | |
| ExactMatchInput |
Input for exact match metric.
|
| ExactMatchInput.Builder |
Input for exact match metric.
|
| ExactMatchInstance |
Spec for exact match instance.
|
| ExactMatchInstance.Builder |
Spec for exact match instance.
|
| ExactMatchMetricValue |
Exact match metric value for an instance.
|
| ExactMatchMetricValue.Builder |
Exact match metric value for an instance.
|
| ExactMatchResults |
Results for exact match metric.
|
| ExactMatchResults.Builder |
Results for exact match metric.
|
| ExactMatchSpec |
Spec for exact match metric - returns 1 if prediction and reference exactly
matches, otherwise 0.
|
| ExactMatchSpec.Builder |
Spec for exact match metric - returns 1 if prediction and reference exactly
matches, otherwise 0.
|
| Examples |
Example-based explainability that returns the nearest neighbors from the
provided dataset.
|
| Examples.Builder |
Example-based explainability that returns the nearest neighbors from the
provided dataset.
|
| Examples.ExampleGcsSource |
The Cloud Storage input instances.
|
| Examples.ExampleGcsSource.Builder |
The Cloud Storage input instances.
|
| ExamplesOverride |
Overrides for example-based explanations.
|
| ExamplesOverride.Builder |
Overrides for example-based explanations.
|
| ExamplesRestrictionsNamespace |
Restrictions namespace for example-based explanations overrides.
|
| ExamplesRestrictionsNamespace.Builder |
Restrictions namespace for example-based explanations overrides.
|
| ExecutableCode |
Code generated by the model that is meant to be executed, and the result
returned to the model.
|
| ExecutableCode.Builder |
Code generated by the model that is meant to be executed, and the result
returned to the model.
|
| Execution |
Instance of a general execution.
|
| Execution.Builder |
Instance of a general execution.
|
| ExecutionName | |
| ExecutionName.Builder |
Builder for
projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}.
|
| ExecutionProto | |
| ExplainRequest |
Request message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainRequest.Builder |
Request message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainResponse |
Response message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainResponse.Builder |
Response message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| Explanation |
Explanation of a prediction (provided in
[PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
produced by the Model on a given
[instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
|
| Explanation.Builder |
Explanation of a prediction (provided in
[PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
produced by the Model on a given
[instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
|
| ExplanationMetadata |
Metadata describing the Model's input and output for explanation.
|
| ExplanationMetadata.Builder |
Metadata describing the Model's input and output for explanation.
|
| ExplanationMetadata.InputMetadata |
Metadata of the input of a feature.
|
| ExplanationMetadata.InputMetadata.Builder |
Metadata of the input of a feature.
|
| ExplanationMetadata.InputMetadata.FeatureValueDomain |
Domain details of the input feature value.
|
| ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder |
Domain details of the input feature value.
|
| ExplanationMetadata.InputMetadata.Visualization |
Visualization configurations for image explanation.
|
| ExplanationMetadata.InputMetadata.Visualization.Builder |
Visualization configurations for image explanation.
|
| ExplanationMetadata.OutputMetadata |
Metadata of the prediction output to be explained.
|
| ExplanationMetadata.OutputMetadata.Builder |
Metadata of the prediction output to be explained.
|
| ExplanationMetadataOverride |
The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata]
entries that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationMetadataOverride.Builder |
The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata]
entries that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationMetadataOverride.InputMetadataOverride |
The [input
metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
entries to be overridden.
|
| ExplanationMetadataOverride.InputMetadataOverride.Builder |
The [input
metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
entries to be overridden.
|
| ExplanationMetadataProto | |
| ExplanationParameters |
Parameters to configure explaining for Model's predictions.
|
| ExplanationParameters.Builder |
Parameters to configure explaining for Model's predictions.
|
| ExplanationProto | |
| ExplanationSpec |
Specification of Model explanation.
|
| ExplanationSpec.Builder |
Specification of Model explanation.
|
| ExplanationSpecOverride |
The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries
that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationSpecOverride.Builder |
The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries
that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExportDataConfig |
Describes what part of the Dataset is to be exported, the destination of
the export and how to export.
|
| ExportDataConfig.Builder |
Describes what part of the Dataset is to be exported, the destination of
the export and how to export.
|
| ExportDataOperationMetadata |
Runtime operation information for
[DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportDataOperationMetadata.Builder |
Runtime operation information for
[DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportDataRequest |
Request message for
[DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportDataRequest.Builder |
Request message for
[DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportDataResponse |
Response message for
[DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportDataResponse.Builder |
Response message for
[DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportFeatureValuesOperationMetadata |
Details of operations that exports Features values.
|
| ExportFeatureValuesOperationMetadata.Builder |
Details of operations that exports Features values.
|
| ExportFeatureValuesRequest |
Request message for
[FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
|
| ExportFeatureValuesRequest.Builder |
Request message for
[FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
|
| ExportFeatureValuesRequest.FullExport |
Describes exporting all historical Feature values of all entities of the
EntityType between [start_time, end_time].
|
| ExportFeatureValuesRequest.FullExport.Builder |
Describes exporting all historical Feature values of all entities of the
EntityType between [start_time, end_time].
|
| ExportFeatureValuesRequest.SnapshotExport |
Describes exporting the latest Feature values of all entities of the
EntityType between [start_time, snapshot_time].
|
| ExportFeatureValuesRequest.SnapshotExport.Builder |
Describes exporting the latest Feature values of all entities of the
EntityType between [start_time, snapshot_time].
|
| ExportFeatureValuesResponse |
Response message for
[FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
|
| ExportFeatureValuesResponse.Builder |
Response message for
[FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
|
| ExportFilterSplit |
Assigns input data to training, validation, and test sets based on the given
filters, data pieces not matched by any filter are ignored.
|
| 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.
|
| ExportFractionSplit |
Assigns the input data to training, validation, and test sets as per the
given fractions.
|
| ExportFractionSplit.Builder |
Assigns the input data to training, validation, and test sets as per the
given fractions.
|
| ExportModelOperationMetadata |
Details of
[ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
operation.
|
| ExportModelOperationMetadata.Builder |
Details of
[ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
operation.
|
| ExportModelOperationMetadata.OutputInfo |
Further describes the output of the ExportModel.
|
| ExportModelOperationMetadata.OutputInfo.Builder |
Further describes the output of the ExportModel.
|
| ExportModelRequest |
Request message for
[ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
|
| ExportModelRequest.Builder |
Request message for
[ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
|
| ExportModelRequest.OutputConfig |
Output configuration for the Model export.
|
| ExportModelRequest.OutputConfig.Builder |
Output configuration for the Model export.
|
| ExportModelResponse |
Response message of
[ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
operation.
|
| ExportModelResponse.Builder |
Response message of
[ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]
operation.
|
| ExportTensorboardTimeSeriesDataRequest |
Request message for
[TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
|
| ExportTensorboardTimeSeriesDataRequest.Builder |
Request message for
[TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
|
| ExportTensorboardTimeSeriesDataResponse |
Response message for
[TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
|
| ExportTensorboardTimeSeriesDataResponse.Builder |
Response message for
[TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData].
|
| Fact |
The fact used in grounding.
|
| Fact.Builder |
The fact used in grounding.
|
| FasterDeploymentConfig |
Configuration for faster model deployment.
|
| FasterDeploymentConfig.Builder |
Configuration for faster model deployment.
|
| Feature |
Feature Metadata information.
|
| Feature.Builder |
Feature Metadata information.
|
| Feature.MonitoringStatsAnomaly |
A list of historical
[SnapshotAnalysis][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis]
or
[ImportFeaturesAnalysis][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis]
stats requested by user, sorted by
[FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time]
descending.
|
| Feature.MonitoringStatsAnomaly.Builder |
A list of historical
[SnapshotAnalysis][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis]
or
[ImportFeaturesAnalysis][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis]
stats requested by user, sorted by
[FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time]
descending.
|
| FeatureGroup |
Vertex AI Feature Group.
|
| FeatureGroup.BigQuery |
Input source type for BigQuery Tables and Views.
|
| FeatureGroup.BigQuery.Builder |
Input source type for BigQuery Tables and Views.
|
| FeatureGroup.BigQuery.TimeSeries |
Protobuf type
google.cloud.aiplatform.v1.FeatureGroup.BigQuery.TimeSeries |
| FeatureGroup.BigQuery.TimeSeries.Builder |
Protobuf type
google.cloud.aiplatform.v1.FeatureGroup.BigQuery.TimeSeries |
| FeatureGroup.Builder |
Vertex AI Feature Group.
|
| FeatureGroupName | |
| FeatureGroupName.Builder |
Builder for projects/{project}/locations/{location}/featureGroups/{feature_group}.
|
| FeatureGroupProto | |
| FeatureMonitoringStatsProto | |
| FeatureName | |
| FeatureName.Builder |
Builder for
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}.
|
| FeatureName.ProjectLocationFeatureGroupFeatureBuilder |
Builder for
projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}.
|
| FeatureNoiseSigma |
Noise sigma by features.
|
| FeatureNoiseSigma.Builder |
Noise sigma by features.
|
| FeatureNoiseSigma.NoiseSigmaForFeature |
Noise sigma for a single feature.
|
| FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
Noise sigma for a single feature.
|
| FeatureOnlineStore |
Vertex AI Feature Online Store provides a centralized repository for serving
ML features and embedding indexes at low latency.
|
| FeatureOnlineStore.Bigtable |
Protobuf type
google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable |
| FeatureOnlineStore.Bigtable.AutoScaling |
Protobuf type
google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable.AutoScaling |
| FeatureOnlineStore.Bigtable.AutoScaling.Builder |
Protobuf type
google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable.AutoScaling |
| FeatureOnlineStore.Bigtable.Builder |
Protobuf type
google.cloud.aiplatform.v1.FeatureOnlineStore.Bigtable |
| FeatureOnlineStore.Builder |
Vertex AI Feature Online Store provides a centralized repository for serving
ML features and embedding indexes at low latency.
|
| FeatureOnlineStore.DedicatedServingEndpoint |
The dedicated serving endpoint for this FeatureOnlineStore.
|
| FeatureOnlineStore.DedicatedServingEndpoint.Builder |
The dedicated serving endpoint for this FeatureOnlineStore.
|
| FeatureOnlineStore.Optimized |
Optimized storage type
Protobuf type
google.cloud.aiplatform.v1.FeatureOnlineStore.Optimized |
| FeatureOnlineStore.Optimized.Builder |
Optimized storage type
Protobuf type
google.cloud.aiplatform.v1.FeatureOnlineStore.Optimized |
| FeatureOnlineStoreAdminServiceProto | |
| FeatureOnlineStoreName | |
| FeatureOnlineStoreName.Builder |
Builder for projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}.
|
| FeatureOnlineStoreProto | |
| FeatureOnlineStoreServiceProto | |
| FeatureProto | |
| FeatureRegistryServiceProto | |
| FeatureSelector |
Selector for Features of an EntityType.
|
| FeatureSelector.Builder |
Selector for Features of an EntityType.
|
| FeatureSelectorProto | |
| FeatureStatsAnomaly |
Stats and Anomaly generated at specific timestamp for specific Feature.
|
| FeatureStatsAnomaly.Builder |
Stats and Anomaly generated at specific timestamp for specific Feature.
|
| Featurestore |
Vertex AI Feature Store provides a centralized repository for organizing,
storing, and serving ML features.
|
| Featurestore.Builder |
Vertex AI Feature Store provides a centralized repository for organizing,
storing, and serving ML features.
|
| Featurestore.OnlineServingConfig |
OnlineServingConfig specifies the details for provisioning online serving
resources.
|
| Featurestore.OnlineServingConfig.Builder |
OnlineServingConfig specifies the details for provisioning online serving
resources.
|
| Featurestore.OnlineServingConfig.Scaling |
Online serving scaling configuration.
|
| Featurestore.OnlineServingConfig.Scaling.Builder |
Online serving scaling configuration.
|
| FeaturestoreMonitoringConfig |
Configuration of how features in Featurestore are monitored.
|
| FeaturestoreMonitoringConfig.Builder |
Configuration of how features in Featurestore are monitored.
|
| FeaturestoreMonitoringConfig.ImportFeaturesAnalysis |
Configuration of the Featurestore's ImportFeature Analysis Based
Monitoring.
|
| FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder |
Configuration of the Featurestore's ImportFeature Analysis Based
Monitoring.
|
| FeaturestoreMonitoringConfig.SnapshotAnalysis |
Configuration of the Featurestore's Snapshot Analysis Based Monitoring.
|
| FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder |
Configuration of the Featurestore's Snapshot Analysis Based Monitoring.
|
| FeaturestoreMonitoringConfig.ThresholdConfig |
The config for Featurestore Monitoring threshold.
|
| FeaturestoreMonitoringConfig.ThresholdConfig.Builder |
The config for Featurestore Monitoring threshold.
|
| FeaturestoreMonitoringProto | |
| FeaturestoreName | |
| FeaturestoreName.Builder |
Builder for projects/{project}/locations/{location}/featurestores/{featurestore}.
|
| FeaturestoreOnlineServiceProto | |
| FeaturestoreProto | |
| FeaturestoreServiceProto | |
| FeatureValue |
Value for a feature.
|
| FeatureValue.Builder |
Value for a feature.
|
| FeatureValue.Metadata |
Metadata of feature value.
|
| FeatureValue.Metadata.Builder |
Metadata of feature value.
|
| FeatureValueDestination |
A destination location for Feature values and format.
|
| FeatureValueDestination.Builder |
A destination location for Feature values and format.
|
| FeatureValueList |
Container for list of values.
|
| FeatureValueList.Builder |
Container for list of values.
|
| FeatureView |
FeatureView is representation of values that the FeatureOnlineStore will
serve based on its syncConfig.
|
| FeatureView.BigQuerySource |
Protobuf type
google.cloud.aiplatform.v1.FeatureView.BigQuerySource |
| FeatureView.BigQuerySource.Builder |
Protobuf type
google.cloud.aiplatform.v1.FeatureView.BigQuerySource |
| FeatureView.Builder |
FeatureView is representation of values that the FeatureOnlineStore will
serve based on its syncConfig.
|
| FeatureView.FeatureRegistrySource |
A Feature Registry source for features that need to be synced to Online
Store.
|
| FeatureView.FeatureRegistrySource.Builder |
A Feature Registry source for features that need to be synced to Online
Store.
|
| FeatureView.FeatureRegistrySource.FeatureGroup |
Features belonging to a single feature group that will be
synced to Online Store.
|
| FeatureView.FeatureRegistrySource.FeatureGroup.Builder |
Features belonging to a single feature group that will be
synced to Online Store.
|
| FeatureView.IndexConfig |
Configuration for vector indexing.
|
| FeatureView.IndexConfig.BruteForceConfig |
Configuration options for using brute force search.
|
| FeatureView.IndexConfig.BruteForceConfig.Builder |
Configuration options for using brute force search.
|
| FeatureView.IndexConfig.Builder |
Configuration for vector indexing.
|
| FeatureView.IndexConfig.TreeAHConfig |
Configuration options for the tree-AH algorithm.
|
| FeatureView.IndexConfig.TreeAHConfig.Builder |
Configuration options for the tree-AH algorithm.
|
| FeatureView.OptimizedConfig |
Configuration for FeatureViews created in Optimized FeatureOnlineStore.
|
| FeatureView.OptimizedConfig.Builder |
Configuration for FeatureViews created in Optimized FeatureOnlineStore.
|
| FeatureView.SyncConfig |
Configuration for Sync.
|
| FeatureView.SyncConfig.Builder |
Configuration for Sync.
|
| FeatureView.VertexRagSource |
A Vertex Rag source for features that need to be synced to Online
Store.
|
| FeatureView.VertexRagSource.Builder |
A Vertex Rag source for features that need to be synced to Online
Store.
|
| FeatureViewDataKey |
Lookup key for a feature view.
|
| FeatureViewDataKey.Builder |
Lookup key for a feature view.
|
| FeatureViewDataKey.CompositeKey |
ID that is comprised from several parts (columns).
|
| FeatureViewDataKey.CompositeKey.Builder |
ID that is comprised from several parts (columns).
|
| FeatureViewName | |
| FeatureViewName.Builder |
Builder for
projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}.
|
| FeatureViewProto | |
| FeatureViewSync |
FeatureViewSync is a representation of sync operation which copies data from
data source to Feature View in Online Store.
|
| FeatureViewSync.Builder |
FeatureViewSync is a representation of sync operation which copies data from
data source to Feature View in Online Store.
|
| FeatureViewSync.SyncSummary |
Summary from the Sync job.
|
| FeatureViewSync.SyncSummary.Builder |
Summary from the Sync job.
|
| FeatureViewSyncName | |
| FeatureViewSyncName.Builder |
Builder for
projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/feature_view_sync.
|
| FeatureViewSyncProto | |
| FetchFeatureValuesRequest |
Request message for
[FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues].
|
| FetchFeatureValuesRequest.Builder |
Request message for
[FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues].
|
| FetchFeatureValuesResponse |
Response message for
[FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues]
Protobuf type
google.cloud.aiplatform.v1.FetchFeatureValuesResponse |
| FetchFeatureValuesResponse.Builder |
Response message for
[FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues]
Protobuf type
google.cloud.aiplatform.v1.FetchFeatureValuesResponse |
| FetchFeatureValuesResponse.FeatureNameValuePairList |
Response structure in the format of key (feature name) and (feature) value
pair.
|
| FetchFeatureValuesResponse.FeatureNameValuePairList.Builder |
Response structure in the format of key (feature name) and (feature) value
pair.
|
| FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair |
Feature name & value pair.
|
| FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair.Builder |
Feature name & value pair.
|
| FileData |
URI based data.
|
| FileData.Builder |
URI based data.
|
| FileStatus |
RagFile status.
|
| FileStatus.Builder |
RagFile status.
|
| FilterSplit |
Assigns input data to training, validation, and test sets based on the given
filters, data pieces not matched by any filter are ignored.
|
| 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.
|
| FindNeighborsRequest |
The request message for
[MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors].
|
| FindNeighborsRequest.Builder |
The request message for
[MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors].
|
| FindNeighborsRequest.Query |
A query to find a number of the nearest neighbors (most similar vectors)
of a vector.
|
| FindNeighborsRequest.Query.Builder |
A query to find a number of the nearest neighbors (most similar vectors)
of a vector.
|
| FindNeighborsRequest.Query.RRF |
Parameters for RRF algorithm that combines search results.
|
| FindNeighborsRequest.Query.RRF.Builder |
Parameters for RRF algorithm that combines search results.
|
| FindNeighborsResponse |
The response message for
[MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors].
|
| FindNeighborsResponse.Builder |
The response message for
[MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors].
|
| FindNeighborsResponse.NearestNeighbors |
Nearest neighbors for one query.
|
| FindNeighborsResponse.NearestNeighbors.Builder |
Nearest neighbors for one query.
|
| FindNeighborsResponse.Neighbor |
A neighbor of the query vector.
|
| FindNeighborsResponse.Neighbor.Builder |
A neighbor of the query vector.
|
| FluencyInput |
Input for fluency metric.
|
| FluencyInput.Builder |
Input for fluency metric.
|
| FluencyInstance |
Spec for fluency instance.
|
| FluencyInstance.Builder |
Spec for fluency instance.
|
| FluencyResult |
Spec for fluency result.
|
| FluencyResult.Builder |
Spec for fluency result.
|
| FluencySpec |
Spec for fluency score metric.
|
| FluencySpec.Builder |
Spec for fluency score metric.
|
| FractionSplit |
Assigns the input data to training, validation, and test sets as per the
given fractions.
|
| FractionSplit.Builder |
Assigns the input data to training, validation, and test sets as per the
given fractions.
|
| FulfillmentInput |
Input for fulfillment metric.
|
| FulfillmentInput.Builder |
Input for fulfillment metric.
|
| FulfillmentInstance |
Spec for fulfillment instance.
|
| FulfillmentInstance.Builder |
Spec for fulfillment instance.
|
| FulfillmentResult |
Spec for fulfillment result.
|
| FulfillmentResult.Builder |
Spec for fulfillment result.
|
| FulfillmentSpec |
Spec for fulfillment metric.
|
| FulfillmentSpec.Builder |
Spec for fulfillment metric.
|
| 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.
|
| 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.
|
| FunctionCallingConfig |
Function calling config.
|
| FunctionCallingConfig.Builder |
Function calling config.
|
| FunctionDeclaration |
Structured representation of a function declaration as defined by the
[OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3).
|
| FunctionDeclaration.Builder |
Structured representation of a function declaration as defined by the
[OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3).
|
| 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.
|
| 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.
|
| GcsDestination |
The Google Cloud Storage location where the output is to be written to.
|
| GcsDestination.Builder |
The Google Cloud Storage location where the output is to be written to.
|
| GcsSource |
The Google Cloud Storage location for the input content.
|
| GcsSource.Builder |
The Google Cloud Storage location for the input content.
|
| GenAiCacheServiceProto | |
| GenAiTuningServiceProto | |
| GenerateContentRequest |
Request message for [PredictionService.GenerateContent].
|
| GenerateContentRequest.Builder |
Request message for [PredictionService.GenerateContent].
|
| GenerateContentResponse |
Response message for [PredictionService.GenerateContent].
|
| GenerateContentResponse.Builder |
Response message for [PredictionService.GenerateContent].
|
| GenerateContentResponse.PromptFeedback |
Content filter results for a prompt sent in the request.
|
| GenerateContentResponse.PromptFeedback.Builder |
Content filter results for a prompt sent in the request.
|
| GenerateContentResponse.UsageMetadata |
Usage metadata about response(s).
|
| GenerateContentResponse.UsageMetadata.Builder |
Usage metadata about response(s).
|
| GenerationConfig |
Generation config.
|
| GenerationConfig.Builder |
Generation config.
|
| GenerationConfig.RoutingConfig |
The configuration for routing the request to a specific model.
|
| GenerationConfig.RoutingConfig.AutoRoutingMode |
When automated routing is specified, the routing will be determined by
the pretrained routing model and customer provided model routing
preference.
|
| 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.
|
| GenerationConfig.RoutingConfig.Builder |
The configuration for routing the request to a specific model.
|
| GenerationConfig.RoutingConfig.ManualRoutingMode |
When manual routing is set, the specified model will be used directly.
|
| GenerationConfig.RoutingConfig.ManualRoutingMode.Builder |
When manual routing is set, the specified model will be used directly.
|
| GenerationConfig.ThinkingConfig |
Config for thinking features.
|
| GenerationConfig.ThinkingConfig.Builder |
Config for thinking features.
|
| GenericOperationMetadata |
Generic Metadata shared by all operations.
|
| GenericOperationMetadata.Builder |
Generic Metadata shared by all operations.
|
| GenieSource |
Contains information about the source of the models generated from Generative
AI Studio.
|
| GenieSource.Builder |
Contains information about the source of the models generated from Generative
AI Studio.
|
| GetAnnotationSpecRequest |
Request message for
[DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
|
| GetAnnotationSpecRequest.Builder |
Request message for
[DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
|
| GetArtifactRequest |
Request message for
[MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
|
| GetArtifactRequest.Builder |
Request message for
[MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact].
|
| GetBatchPredictionJobRequest |
Request message for
[JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
|
| GetBatchPredictionJobRequest.Builder |
Request message for
[JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
|
| GetCachedContentRequest |
Request message for
[GenAiCacheService.GetCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.GetCachedContent].
|
| GetCachedContentRequest.Builder |
Request message for
[GenAiCacheService.GetCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.GetCachedContent].
|
| GetContextRequest |
Request message for
[MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
|
| GetContextRequest.Builder |
Request message for
[MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext].
|
| GetCustomJobRequest |
Request message for
[JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
|
| GetCustomJobRequest.Builder |
Request message for
[JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
|
| GetDataLabelingJobRequest |
Request message for
[JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
|
| GetDataLabelingJobRequest.Builder |
Request message for
[JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
|
| GetDatasetRequest |
Request message for
[DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
|
| GetDatasetRequest.Builder |
Request message for
[DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
|
| GetDatasetVersionRequest |
Request message for
[DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion].
|
| GetDatasetVersionRequest.Builder |
Request message for
[DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion].
|
| GetDeploymentResourcePoolRequest |
Request message for GetDeploymentResourcePool method.
|
| GetDeploymentResourcePoolRequest.Builder |
Request message for GetDeploymentResourcePool method.
|
| GetEndpointRequest |
Request message for
[EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
Protobuf type
google.cloud.aiplatform.v1.GetEndpointRequest |
| GetEndpointRequest.Builder |
Request message for
[EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
Protobuf type
google.cloud.aiplatform.v1.GetEndpointRequest |
| GetEntityTypeRequest |
Request message for
[FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
|
| GetEntityTypeRequest.Builder |
Request message for
[FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
|
| GetExecutionRequest |
Request message for
[MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
|
| GetExecutionRequest.Builder |
Request message for
[MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution].
|
| GetFeatureGroupRequest |
Request message for
[FeatureRegistryService.GetFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeatureGroup].
|
| GetFeatureGroupRequest.Builder |
Request message for
[FeatureRegistryService.GetFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeatureGroup].
|
| GetFeatureOnlineStoreRequest |
Request message for
[FeatureOnlineStoreAdminService.GetFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureOnlineStore].
|
| GetFeatureOnlineStoreRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.GetFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureOnlineStore].
|
| GetFeatureRequest |
Request message for
[FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
|
| GetFeatureRequest.Builder |
Request message for
[FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
|
| GetFeaturestoreRequest |
Request message for
[FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
|
| GetFeaturestoreRequest.Builder |
Request message for
[FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
|
| GetFeatureViewRequest |
Request message for
[FeatureOnlineStoreAdminService.GetFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureView].
|
| GetFeatureViewRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.GetFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureView].
|
| GetFeatureViewSyncRequest |
Request message for
[FeatureOnlineStoreAdminService.GetFeatureViewSync][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureViewSync].
|
| GetFeatureViewSyncRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.GetFeatureViewSync][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureViewSync].
|
| GetHyperparameterTuningJobRequest |
Request message for
[JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
|
| GetHyperparameterTuningJobRequest.Builder |
Request message for
[JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
|
| GetIndexEndpointRequest |
Request message for
[IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
Protobuf type
google.cloud.aiplatform.v1.GetIndexEndpointRequest |
| GetIndexEndpointRequest.Builder |
Request message for
[IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
Protobuf type
google.cloud.aiplatform.v1.GetIndexEndpointRequest |
| GetIndexRequest |
Request message for
[IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
Protobuf type
google.cloud.aiplatform.v1.GetIndexRequest |
| GetIndexRequest.Builder |
Request message for
[IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
Protobuf type
google.cloud.aiplatform.v1.GetIndexRequest |
| GetMetadataSchemaRequest |
Request message for
[MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
|
| GetMetadataSchemaRequest.Builder |
Request message for
[MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema].
|
| GetMetadataStoreRequest |
Request message for
[MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
|
| GetMetadataStoreRequest.Builder |
Request message for
[MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore].
|
| GetModelDeploymentMonitoringJobRequest |
Request message for
[JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob].
|
| GetModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob].
|
| GetModelEvaluationRequest |
Request message for
[ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
|
| GetModelEvaluationRequest.Builder |
Request message for
[ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
|
| GetModelEvaluationSliceRequest |
Request message for
[ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
|
| GetModelEvaluationSliceRequest.Builder |
Request message for
[ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
|
| GetModelRequest |
Request message for
[ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
|
| GetModelRequest.Builder |
Request message for
[ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
|
| GetNasJobRequest |
Request message for
[JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob].
|
| GetNasJobRequest.Builder |
Request message for
[JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob].
|
| GetNasTrialDetailRequest |
Request message for
[JobService.GetNasTrialDetail][google.cloud.aiplatform.v1.JobService.GetNasTrialDetail].
|
| GetNasTrialDetailRequest.Builder |
Request message for
[JobService.GetNasTrialDetail][google.cloud.aiplatform.v1.JobService.GetNasTrialDetail].
|
| GetNotebookExecutionJobRequest |
Request message for [NotebookService.GetNotebookExecutionJob]
Protobuf type
google.cloud.aiplatform.v1.GetNotebookExecutionJobRequest |
| GetNotebookExecutionJobRequest.Builder |
Request message for [NotebookService.GetNotebookExecutionJob]
Protobuf type
google.cloud.aiplatform.v1.GetNotebookExecutionJobRequest |
| GetNotebookRuntimeRequest |
Request message for
[NotebookService.GetNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.GetNotebookRuntime]
Protobuf type
google.cloud.aiplatform.v1.GetNotebookRuntimeRequest |
| GetNotebookRuntimeRequest.Builder |
Request message for
[NotebookService.GetNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.GetNotebookRuntime]
Protobuf type
google.cloud.aiplatform.v1.GetNotebookRuntimeRequest |
| GetNotebookRuntimeTemplateRequest |
Request message for
[NotebookService.GetNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.GetNotebookRuntimeTemplate]
Protobuf type
google.cloud.aiplatform.v1.GetNotebookRuntimeTemplateRequest |
| GetNotebookRuntimeTemplateRequest.Builder |
Request message for
[NotebookService.GetNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.GetNotebookRuntimeTemplate]
Protobuf type
google.cloud.aiplatform.v1.GetNotebookRuntimeTemplateRequest |
| GetPersistentResourceRequest |
Request message for
[PersistentResourceService.GetPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.GetPersistentResource].
|
| GetPersistentResourceRequest.Builder |
Request message for
[PersistentResourceService.GetPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.GetPersistentResource].
|
| GetPipelineJobRequest |
Request message for
[PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
|
| GetPipelineJobRequest.Builder |
Request message for
[PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
|
| GetPublisherModelRequest |
Request message for
[ModelGardenService.GetPublisherModel][google.cloud.aiplatform.v1.ModelGardenService.GetPublisherModel]
Protobuf type
google.cloud.aiplatform.v1.GetPublisherModelRequest |
| GetPublisherModelRequest.Builder |
Request message for
[ModelGardenService.GetPublisherModel][google.cloud.aiplatform.v1.ModelGardenService.GetPublisherModel]
Protobuf type
google.cloud.aiplatform.v1.GetPublisherModelRequest |
| GetRagCorpusRequest |
Request message for
[VertexRagDataService.GetRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.GetRagCorpus]
Protobuf type
google.cloud.aiplatform.v1.GetRagCorpusRequest |
| GetRagCorpusRequest.Builder |
Request message for
[VertexRagDataService.GetRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.GetRagCorpus]
Protobuf type
google.cloud.aiplatform.v1.GetRagCorpusRequest |
| GetRagFileRequest |
Request message for
[VertexRagDataService.GetRagFile][google.cloud.aiplatform.v1.VertexRagDataService.GetRagFile]
Protobuf type
google.cloud.aiplatform.v1.GetRagFileRequest |
| GetRagFileRequest.Builder |
Request message for
[VertexRagDataService.GetRagFile][google.cloud.aiplatform.v1.VertexRagDataService.GetRagFile]
Protobuf type
google.cloud.aiplatform.v1.GetRagFileRequest |
| GetReasoningEngineRequest |
Request message for
[ReasoningEngineService.GetReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.GetReasoningEngine].
|
| GetReasoningEngineRequest.Builder |
Request message for
[ReasoningEngineService.GetReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.GetReasoningEngine].
|
| GetScheduleRequest |
Request message for
[ScheduleService.GetSchedule][google.cloud.aiplatform.v1.ScheduleService.GetSchedule].
|
| GetScheduleRequest.Builder |
Request message for
[ScheduleService.GetSchedule][google.cloud.aiplatform.v1.ScheduleService.GetSchedule].
|
| GetSpecialistPoolRequest |
Request message for
[SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
|
| GetSpecialistPoolRequest.Builder |
Request message for
[SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
|
| GetStudyRequest |
Request message for
[VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
|
| GetStudyRequest.Builder |
Request message for
[VizierService.GetStudy][google.cloud.aiplatform.v1.VizierService.GetStudy].
|
| GetTensorboardExperimentRequest |
Request message for
[TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
|
| GetTensorboardExperimentRequest.Builder |
Request message for
[TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment].
|
| GetTensorboardRequest |
Request message for
[TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
|
| GetTensorboardRequest.Builder |
Request message for
[TensorboardService.GetTensorboard][google.cloud.aiplatform.v1.TensorboardService.GetTensorboard].
|
| GetTensorboardRunRequest |
Request message for
[TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
|
| GetTensorboardRunRequest.Builder |
Request message for
[TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardRun].
|
| GetTensorboardTimeSeriesRequest |
Request message for
[TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
|
| GetTensorboardTimeSeriesRequest.Builder |
Request message for
[TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.GetTensorboardTimeSeries].
|
| GetTrainingPipelineRequest |
Request message for
[PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
|
| GetTrainingPipelineRequest.Builder |
Request message for
[PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
|
| GetTrialRequest |
Request message for
[VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
|
| GetTrialRequest.Builder |
Request message for
[VizierService.GetTrial][google.cloud.aiplatform.v1.VizierService.GetTrial].
|
| GetTuningJobRequest |
Request message for
[GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.GetTuningJob].
|
| GetTuningJobRequest.Builder |
Request message for
[GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.GetTuningJob].
|
| GoogleDriveSource |
The Google Drive location for the input content.
|
| GoogleDriveSource.Builder |
The Google Drive location for the input content.
|
| GoogleDriveSource.ResourceId |
The type and ID of the Google Drive resource.
|
| GoogleDriveSource.ResourceId.Builder |
The type and ID of the Google Drive resource.
|
| GoogleSearchRetrieval |
Tool to retrieve public web data for grounding, powered by Google.
|
| GoogleSearchRetrieval.Builder |
Tool to retrieve public web data for grounding, powered by Google.
|
| GroundednessInput |
Input for groundedness metric.
|
| GroundednessInput.Builder |
Input for groundedness metric.
|
| GroundednessInstance |
Spec for groundedness instance.
|
| GroundednessInstance.Builder |
Spec for groundedness instance.
|
| GroundednessResult |
Spec for groundedness result.
|
| GroundednessResult.Builder |
Spec for groundedness result.
|
| GroundednessSpec |
Spec for groundedness metric.
|
| GroundednessSpec.Builder |
Spec for groundedness metric.
|
| GroundingChunk |
Grounding chunk.
|
| GroundingChunk.Builder |
Grounding chunk.
|
| GroundingChunk.RetrievedContext |
Chunk from context retrieved by the retrieval tools.
|
| GroundingChunk.RetrievedContext.Builder |
Chunk from context retrieved by the retrieval tools.
|
| GroundingChunk.Web |
Chunk from the web.
|
| GroundingChunk.Web.Builder |
Chunk from the web.
|
| GroundingMetadata |
Metadata returned to client when grounding is enabled.
|
| GroundingMetadata.Builder |
Metadata returned to client when grounding is enabled.
|
| GroundingSupport |
Grounding support.
|
| GroundingSupport.Builder |
Grounding support.
|
| HyperparameterTuningJob |
Represents a HyperparameterTuningJob.
|
| HyperparameterTuningJob.Builder |
Represents a HyperparameterTuningJob.
|
| HyperparameterTuningJobName | |
| HyperparameterTuningJobName.Builder |
Builder for
projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}.
|
| HyperparameterTuningJobProto | |
| IdMatcher |
Matcher for Features of an EntityType by Feature ID.
|
| IdMatcher.Builder |
Matcher for Features of an EntityType by Feature ID.
|
| ImportDataConfig |
Describes the location from where we import data into a Dataset, together
with the labels that will be applied to the DataItems and the Annotations.
|
| 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.
|
| ImportDataOperationMetadata |
Runtime operation information for
[DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportDataOperationMetadata.Builder |
Runtime operation information for
[DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportDataRequest |
Request message for
[DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportDataRequest.Builder |
Request message for
[DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportDataResponse |
Response message for
[DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportDataResponse.Builder |
Response message for
[DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportFeatureValuesOperationMetadata |
Details of operations that perform import Feature values.
|
| ImportFeatureValuesOperationMetadata.Builder |
Details of operations that perform import Feature values.
|
| ImportFeatureValuesRequest |
Request message for
[FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
|
| ImportFeatureValuesRequest.Builder |
Request message for
[FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
|
| ImportFeatureValuesRequest.FeatureSpec |
Defines the Feature value(s) to import.
|
| ImportFeatureValuesRequest.FeatureSpec.Builder |
Defines the Feature value(s) to import.
|
| ImportFeatureValuesResponse |
Response message for
[FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
|
| ImportFeatureValuesResponse.Builder |
Response message for
[FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
|
| ImportModelEvaluationRequest |
Request message for
[ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
Protobuf type
google.cloud.aiplatform.v1.ImportModelEvaluationRequest |
| ImportModelEvaluationRequest.Builder |
Request message for
[ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
Protobuf type
google.cloud.aiplatform.v1.ImportModelEvaluationRequest |
| ImportRagFilesConfig |
Config for importing RagFiles.
|
| ImportRagFilesConfig.Builder |
Config for importing RagFiles.
|
| ImportRagFilesOperationMetadata |
Runtime operation information for
[VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ImportRagFiles].
|
| ImportRagFilesOperationMetadata.Builder |
Runtime operation information for
[VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ImportRagFiles].
|
| ImportRagFilesRequest |
Request message for
[VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ImportRagFiles].
|
| ImportRagFilesRequest.Builder |
Request message for
[VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ImportRagFiles].
|
| ImportRagFilesResponse |
Response message for
[VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ImportRagFiles].
|
| ImportRagFilesResponse.Builder |
Response message for
[VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ImportRagFiles].
|
| 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.
|
| 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.
|
| IndexDatapoint |
A datapoint of Index.
|
| IndexDatapoint.Builder |
A datapoint of Index.
|
| 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.
|
| 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.
|
| IndexDatapoint.NumericRestriction |
This field allows restricts to be based on numeric comparisons rather
than categorical tokens.
|
| IndexDatapoint.NumericRestriction.Builder |
This field allows restricts to be based on numeric comparisons rather
than categorical tokens.
|
| IndexDatapoint.Restriction |
Restriction of a datapoint which describe its attributes(tokens) from each
of several attribute categories(namespaces).
|
| IndexDatapoint.Restriction.Builder |
Restriction of a datapoint which describe its attributes(tokens) from each
of several attribute categories(namespaces).
|
| IndexDatapoint.SparseEmbedding |
Feature embedding vector for sparse index.
|
| IndexDatapoint.SparseEmbedding.Builder |
Feature embedding vector for sparse index.
|
| IndexEndpoint |
Indexes are deployed into it.
|
| IndexEndpoint.Builder |
Indexes are deployed into it.
|
| IndexEndpointName | |
| IndexEndpointName.Builder |
Builder for projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}.
|
| IndexEndpointProto | |
| IndexEndpointServiceProto | |
| IndexName | |
| IndexName.Builder |
Builder for projects/{project}/locations/{location}/indexes/{index}.
|
| IndexPrivateEndpoints |
IndexPrivateEndpoints proto is used to provide paths for users to send
requests via private endpoints (e.g. private service access, private service
connect).
|
| 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).
|
| IndexProto | |
| IndexServiceProto | |
| IndexStats |
Stats of the Index.
|
| IndexStats.Builder |
Stats of the Index.
|
| InputDataConfig |
Specifies Vertex AI owned input data to be used for training, and
possibly evaluating, the Model.
|
| InputDataConfig.Builder |
Specifies Vertex AI owned input data to be used for training, and
possibly evaluating, the Model.
|
| Int64Array |
A list of int64 values.
|
| Int64Array.Builder |
A list of int64 values.
|
| IntegratedGradientsAttribution |
An attribution method that computes the Aumann-Shapley value taking advantage
of the model's fully differentiable structure.
|
| IntegratedGradientsAttribution.Builder |
An attribution method that computes the Aumann-Shapley value taking advantage
of the model's fully differentiable structure.
|
| IoProto | |
| JiraSource |
The Jira source for the ImportRagFilesRequest.
|
| JiraSource.Builder |
The Jira source for the ImportRagFilesRequest.
|
| JiraSource.JiraQueries |
JiraQueries contains the Jira queries and corresponding authentication.
|
| JiraSource.JiraQueries.Builder |
JiraQueries contains the Jira queries and corresponding authentication.
|
| JobServiceProto | |
| JobStateProto | |
| LargeModelReference |
Contains information about the Large Model.
|
| LargeModelReference.Builder |
Contains information about the Large Model.
|
| LineageSubgraph |
A subgraph of the overall lineage graph.
|
| LineageSubgraph.Builder |
A subgraph of the overall lineage graph.
|
| LineageSubgraphProto | |
| ListAnnotationsRequest |
Request message for
[DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
|
| ListAnnotationsRequest.Builder |
Request message for
[DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
|
| ListAnnotationsResponse |
Response message for
[DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
|
| ListAnnotationsResponse.Builder |
Response message for
[DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
|
| ListArtifactsRequest |
Request message for
[MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
|
| ListArtifactsRequest.Builder |
Request message for
[MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
|
| ListArtifactsResponse |
Response message for
[MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
|
| ListArtifactsResponse.Builder |
Response message for
[MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts].
|
| ListBatchPredictionJobsRequest |
Request message for
[JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
|
| ListBatchPredictionJobsRequest.Builder |
Request message for
[JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
|
| ListBatchPredictionJobsResponse |
Response message for
[JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
Protobuf type
google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse |
| ListBatchPredictionJobsResponse.Builder |
Response message for
[JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
Protobuf type
google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse |
| ListCachedContentsRequest |
Request to list CachedContents.
|
| ListCachedContentsRequest.Builder |
Request to list CachedContents.
|
| ListCachedContentsResponse |
Response with a list of CachedContents.
|
| ListCachedContentsResponse.Builder |
Response with a list of CachedContents.
|
| ListContextsRequest |
Request message for
[MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
Protobuf type
google.cloud.aiplatform.v1.ListContextsRequest |
| ListContextsRequest.Builder |
Request message for
[MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]
Protobuf type
google.cloud.aiplatform.v1.ListContextsRequest |
| ListContextsResponse |
Response message for
[MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
|
| ListContextsResponse.Builder |
Response message for
[MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts].
|
| ListCustomJobsRequest |
Request message for
[JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
|
| ListCustomJobsRequest.Builder |
Request message for
[JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
|
| ListCustomJobsResponse |
Response message for
[JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
Protobuf type
google.cloud.aiplatform.v1.ListCustomJobsResponse |
| ListCustomJobsResponse.Builder |
Response message for
[JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
Protobuf type
google.cloud.aiplatform.v1.ListCustomJobsResponse |
| ListDataItemsRequest |
Request message for
[DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
|
| ListDataItemsRequest.Builder |
Request message for
[DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
|
| ListDataItemsResponse |
Response message for
[DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
|
| ListDataItemsResponse.Builder |
Response message for
[DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
|
| ListDataLabelingJobsRequest |
Request message for
[JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
|
| ListDataLabelingJobsRequest.Builder |
Request message for
[JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
|
| ListDataLabelingJobsResponse |
Response message for
[JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
|
| ListDataLabelingJobsResponse.Builder |
Response message for
[JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
|
| ListDatasetsRequest |
Request message for
[DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
|
| ListDatasetsRequest.Builder |
Request message for
[DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
|
| ListDatasetsResponse |
Response message for
[DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
|
| ListDatasetsResponse.Builder |
Response message for
[DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
|
| ListDatasetVersionsRequest |
Request message for
[DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions].
|
| ListDatasetVersionsRequest.Builder |
Request message for
[DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions].
|
| ListDatasetVersionsResponse |
Response message for
[DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions].
|
| ListDatasetVersionsResponse.Builder |
Response message for
[DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions].
|
| ListDeploymentResourcePoolsRequest |
Request message for ListDeploymentResourcePools method.
|
| ListDeploymentResourcePoolsRequest.Builder |
Request message for ListDeploymentResourcePools method.
|
| ListDeploymentResourcePoolsResponse |
Response message for ListDeploymentResourcePools method.
|
| ListDeploymentResourcePoolsResponse.Builder |
Response message for ListDeploymentResourcePools method.
|
| ListEndpointsRequest |
Request message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsRequest.Builder |
Request message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsResponse |
Response message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsResponse.Builder |
Response message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEntityTypesRequest |
Request message for
[FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
|
| ListEntityTypesRequest.Builder |
Request message for
[FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
|
| ListEntityTypesResponse |
Response message for
[FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
|
| ListEntityTypesResponse.Builder |
Response message for
[FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
|
| ListExecutionsRequest |
Request message for
[MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
|
| ListExecutionsRequest.Builder |
Request message for
[MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
|
| ListExecutionsResponse |
Response message for
[MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
|
| ListExecutionsResponse.Builder |
Response message for
[MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions].
|
| ListFeatureGroupsRequest |
Request message for
[FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups].
|
| ListFeatureGroupsRequest.Builder |
Request message for
[FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups].
|
| ListFeatureGroupsResponse |
Response message for
[FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups].
|
| ListFeatureGroupsResponse.Builder |
Response message for
[FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups].
|
| ListFeatureOnlineStoresRequest |
Request message for
[FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].
|
| ListFeatureOnlineStoresRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].
|
| ListFeatureOnlineStoresResponse |
Response message for
[FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].
|
| ListFeatureOnlineStoresResponse.Builder |
Response message for
[FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].
|
| ListFeaturesRequest |
Request message for
[FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
|
| ListFeaturesRequest.Builder |
Request message for
[FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
|
| ListFeaturesResponse |
Response message for
[FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
|
| ListFeaturesResponse.Builder |
Response message for
[FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
|
| ListFeaturestoresRequest |
Request message for
[FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
|
| ListFeaturestoresRequest.Builder |
Request message for
[FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
|
| ListFeaturestoresResponse |
Response message for
[FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
|
| ListFeaturestoresResponse.Builder |
Response message for
[FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
|
| ListFeatureViewsRequest |
Request message for
[FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews].
|
| ListFeatureViewsRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews].
|
| ListFeatureViewsResponse |
Response message for
[FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews].
|
| ListFeatureViewsResponse.Builder |
Response message for
[FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews].
|
| ListFeatureViewSyncsRequest |
Request message for
[FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].
|
| ListFeatureViewSyncsRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].
|
| ListFeatureViewSyncsResponse |
Response message for
[FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].
|
| ListFeatureViewSyncsResponse.Builder |
Response message for
[FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].
|
| ListHyperparameterTuningJobsRequest |
Request message for
[JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
|
| ListHyperparameterTuningJobsRequest.Builder |
Request message for
[JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
|
| ListHyperparameterTuningJobsResponse |
Response message for
[JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
Protobuf type
google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse |
| ListHyperparameterTuningJobsResponse.Builder |
Response message for
[JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
Protobuf type
google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse |
| ListIndexEndpointsRequest |
Request message for
[IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
|
| ListIndexEndpointsRequest.Builder |
Request message for
[IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
|
| ListIndexEndpointsResponse |
Response message for
[IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
|
| ListIndexEndpointsResponse.Builder |
Response message for
[IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
|
| ListIndexesRequest |
Request message for
[IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
|
| ListIndexesRequest.Builder |
Request message for
[IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
|
| ListIndexesResponse |
Response message for
[IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
|
| ListIndexesResponse.Builder |
Response message for
[IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
|
| ListMetadataSchemasRequest |
Request message for
[MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
|
| ListMetadataSchemasRequest.Builder |
Request message for
[MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
|
| ListMetadataSchemasResponse |
Response message for
[MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
|
| ListMetadataSchemasResponse.Builder |
Response message for
[MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas].
|
| ListMetadataStoresRequest |
Request message for
[MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
|
| ListMetadataStoresRequest.Builder |
Request message for
[MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
|
| ListMetadataStoresResponse |
Response message for
[MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
|
| ListMetadataStoresResponse.Builder |
Response message for
[MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores].
|
| ListModelDeploymentMonitoringJobsRequest |
Request message for
[JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
|
| ListModelDeploymentMonitoringJobsRequest.Builder |
Request message for
[JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
|
| ListModelDeploymentMonitoringJobsResponse |
Response message for
[JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
|
| ListModelDeploymentMonitoringJobsResponse.Builder |
Response message for
[JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
|
| ListModelEvaluationSlicesRequest |
Request message for
[ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
|
| ListModelEvaluationSlicesRequest.Builder |
Request message for
[ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
|
| ListModelEvaluationSlicesResponse |
Response message for
[ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
|
| ListModelEvaluationSlicesResponse.Builder |
Response message for
[ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
|
| ListModelEvaluationsRequest |
Request message for
[ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
|
| ListModelEvaluationsRequest.Builder |
Request message for
[ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
|
| ListModelEvaluationsResponse |
Response message for
[ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
|
| ListModelEvaluationsResponse.Builder |
Response message for
[ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
|
| ListModelsRequest |
Request message for
[ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
|
| ListModelsRequest.Builder |
Request message for
[ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
|
| ListModelsResponse |
Response message for
[ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
Protobuf type
google.cloud.aiplatform.v1.ListModelsResponse |
| ListModelsResponse.Builder |
Response message for
[ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
Protobuf type
google.cloud.aiplatform.v1.ListModelsResponse |
| ListModelVersionCheckpointsRequest |
Request message for
[ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints].
|
| ListModelVersionCheckpointsRequest.Builder |
Request message for
[ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints].
|
| ListModelVersionCheckpointsResponse |
Response message for
[ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints]
Protobuf type
google.cloud.aiplatform.v1.ListModelVersionCheckpointsResponse |
| ListModelVersionCheckpointsResponse.Builder |
Response message for
[ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints]
Protobuf type
google.cloud.aiplatform.v1.ListModelVersionCheckpointsResponse |
| ListModelVersionsRequest |
Request message for
[ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
|
| ListModelVersionsRequest.Builder |
Request message for
[ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
|
| ListModelVersionsResponse |
Response message for
[ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
Protobuf type
google.cloud.aiplatform.v1.ListModelVersionsResponse |
| ListModelVersionsResponse.Builder |
Response message for
[ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
Protobuf type
google.cloud.aiplatform.v1.ListModelVersionsResponse |
| ListNasJobsRequest |
Request message for
[JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs].
|
| ListNasJobsRequest.Builder |
Request message for
[JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs].
|
| ListNasJobsResponse |
Response message for
[JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs]
Protobuf type
google.cloud.aiplatform.v1.ListNasJobsResponse |
| ListNasJobsResponse.Builder |
Response message for
[JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs]
Protobuf type
google.cloud.aiplatform.v1.ListNasJobsResponse |
| ListNasTrialDetailsRequest |
Request message for
[JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails].
|
| ListNasTrialDetailsRequest.Builder |
Request message for
[JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails].
|
| ListNasTrialDetailsResponse |
Response message for
[JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails]
Protobuf type
google.cloud.aiplatform.v1.ListNasTrialDetailsResponse |
| ListNasTrialDetailsResponse.Builder |
Response message for
[JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails]
Protobuf type
google.cloud.aiplatform.v1.ListNasTrialDetailsResponse |
| ListNotebookExecutionJobsRequest |
Request message for [NotebookService.ListNotebookExecutionJobs]
Protobuf type
google.cloud.aiplatform.v1.ListNotebookExecutionJobsRequest |
| ListNotebookExecutionJobsRequest.Builder |
Request message for [NotebookService.ListNotebookExecutionJobs]
Protobuf type
google.cloud.aiplatform.v1.ListNotebookExecutionJobsRequest |
| ListNotebookExecutionJobsResponse |
Response message for [NotebookService.CreateNotebookExecutionJob]
Protobuf type
google.cloud.aiplatform.v1.ListNotebookExecutionJobsResponse |
| ListNotebookExecutionJobsResponse.Builder |
Response message for [NotebookService.CreateNotebookExecutionJob]
Protobuf type
google.cloud.aiplatform.v1.ListNotebookExecutionJobsResponse |
| ListNotebookRuntimesRequest |
Request message for
[NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes].
|
| ListNotebookRuntimesRequest.Builder |
Request message for
[NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes].
|
| ListNotebookRuntimesResponse |
Response message for
[NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes].
|
| ListNotebookRuntimesResponse.Builder |
Response message for
[NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes].
|
| ListNotebookRuntimeTemplatesRequest |
Request message for
[NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates].
|
| ListNotebookRuntimeTemplatesRequest.Builder |
Request message for
[NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates].
|
| ListNotebookRuntimeTemplatesResponse |
Response message for
[NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates].
|
| ListNotebookRuntimeTemplatesResponse.Builder |
Response message for
[NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates].
|
| ListOptimalTrialsRequest |
Request message for
[VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
|
| ListOptimalTrialsRequest.Builder |
Request message for
[VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
|
| ListOptimalTrialsResponse |
Response message for
[VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
|
| ListOptimalTrialsResponse.Builder |
Response message for
[VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].
|
| ListPersistentResourcesRequest |
Request message for
[PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources].
|
| ListPersistentResourcesRequest.Builder |
Request message for
[PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources].
|
| ListPersistentResourcesResponse |
Response message for
[PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources]
Protobuf type
google.cloud.aiplatform.v1.ListPersistentResourcesResponse |
| ListPersistentResourcesResponse.Builder |
Response message for
[PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources]
Protobuf type
google.cloud.aiplatform.v1.ListPersistentResourcesResponse |
| ListPipelineJobsRequest |
Request message for
[PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
|
| ListPipelineJobsRequest.Builder |
Request message for
[PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
|
| ListPipelineJobsResponse |
Response message for
[PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
Protobuf type
google.cloud.aiplatform.v1.ListPipelineJobsResponse |
| ListPipelineJobsResponse.Builder |
Response message for
[PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
Protobuf type
google.cloud.aiplatform.v1.ListPipelineJobsResponse |
| ListRagCorporaRequest |
Request message for
[VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1.VertexRagDataService.ListRagCorpora].
|
| ListRagCorporaRequest.Builder |
Request message for
[VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1.VertexRagDataService.ListRagCorpora].
|
| ListRagCorporaResponse |
Response message for
[VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1.VertexRagDataService.ListRagCorpora].
|
| ListRagCorporaResponse.Builder |
Response message for
[VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1.VertexRagDataService.ListRagCorpora].
|
| ListRagFilesRequest |
Request message for
[VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ListRagFiles].
|
| ListRagFilesRequest.Builder |
Request message for
[VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ListRagFiles].
|
| ListRagFilesResponse |
Response message for
[VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ListRagFiles].
|
| ListRagFilesResponse.Builder |
Response message for
[VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1.VertexRagDataService.ListRagFiles].
|
| ListReasoningEnginesRequest |
Request message for
[ReasoningEngineService.ListReasoningEngines][google.cloud.aiplatform.v1.ReasoningEngineService.ListReasoningEngines].
|
| ListReasoningEnginesRequest.Builder |
Request message for
[ReasoningEngineService.ListReasoningEngines][google.cloud.aiplatform.v1.ReasoningEngineService.ListReasoningEngines].
|
| ListReasoningEnginesResponse |
Response message for
[ReasoningEngineService.ListReasoningEngines][google.cloud.aiplatform.v1.ReasoningEngineService.ListReasoningEngines]
Protobuf type
google.cloud.aiplatform.v1.ListReasoningEnginesResponse |
| ListReasoningEnginesResponse.Builder |
Response message for
[ReasoningEngineService.ListReasoningEngines][google.cloud.aiplatform.v1.ReasoningEngineService.ListReasoningEngines]
Protobuf type
google.cloud.aiplatform.v1.ListReasoningEnginesResponse |
| ListSavedQueriesRequest |
Request message for
[DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
|
| ListSavedQueriesRequest.Builder |
Request message for
[DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
|
| ListSavedQueriesResponse |
Response message for
[DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
|
| ListSavedQueriesResponse.Builder |
Response message for
[DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
|
| ListSchedulesRequest |
Request message for
[ScheduleService.ListSchedules][google.cloud.aiplatform.v1.ScheduleService.ListSchedules].
|
| ListSchedulesRequest.Builder |
Request message for
[ScheduleService.ListSchedules][google.cloud.aiplatform.v1.ScheduleService.ListSchedules].
|
| ListSchedulesResponse |
Response message for
[ScheduleService.ListSchedules][google.cloud.aiplatform.v1.ScheduleService.ListSchedules]
Protobuf type
google.cloud.aiplatform.v1.ListSchedulesResponse |
| ListSchedulesResponse.Builder |
Response message for
[ScheduleService.ListSchedules][google.cloud.aiplatform.v1.ScheduleService.ListSchedules]
Protobuf type
google.cloud.aiplatform.v1.ListSchedulesResponse |
| ListSpecialistPoolsRequest |
Request message for
[SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
|
| ListSpecialistPoolsRequest.Builder |
Request message for
[SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
|
| ListSpecialistPoolsResponse |
Response message for
[SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
|
| ListSpecialistPoolsResponse.Builder |
Response message for
[SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
|
| ListStudiesRequest |
Request message for
[VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
|
| ListStudiesRequest.Builder |
Request message for
[VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
|
| ListStudiesResponse |
Response message for
[VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
|
| ListStudiesResponse.Builder |
Response message for
[VizierService.ListStudies][google.cloud.aiplatform.v1.VizierService.ListStudies].
|
| ListTensorboardExperimentsRequest |
Request message for
[TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
|
| ListTensorboardExperimentsRequest.Builder |
Request message for
[TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
|
| ListTensorboardExperimentsResponse |
Response message for
[TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
|
| ListTensorboardExperimentsResponse.Builder |
Response message for
[TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardExperiments].
|
| ListTensorboardRunsRequest |
Request message for
[TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
|
| ListTensorboardRunsRequest.Builder |
Request message for
[TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
|
| ListTensorboardRunsResponse |
Response message for
[TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
|
| ListTensorboardRunsResponse.Builder |
Response message for
[TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardRuns].
|
| ListTensorboardsRequest |
Request message for
[TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
|
| ListTensorboardsRequest.Builder |
Request message for
[TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
|
| ListTensorboardsResponse |
Response message for
[TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
|
| ListTensorboardsResponse.Builder |
Response message for
[TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards].
|
| ListTensorboardTimeSeriesRequest |
Request message for
[TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
|
| ListTensorboardTimeSeriesRequest.Builder |
Request message for
[TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
|
| ListTensorboardTimeSeriesResponse |
Response message for
[TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
|
| ListTensorboardTimeSeriesResponse.Builder |
Response message for
[TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.ListTensorboardTimeSeries].
|
| ListTrainingPipelinesRequest |
Request message for
[PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
|
| ListTrainingPipelinesRequest.Builder |
Request message for
[PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
|
| ListTrainingPipelinesResponse |
Response message for
[PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
Protobuf type
google.cloud.aiplatform.v1.ListTrainingPipelinesResponse |
| ListTrainingPipelinesResponse.Builder |
Response message for
[PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
Protobuf type
google.cloud.aiplatform.v1.ListTrainingPipelinesResponse |
| ListTrialsRequest |
Request message for
[VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
|
| ListTrialsRequest.Builder |
Request message for
[VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
|
| ListTrialsResponse |
Response message for
[VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
|
| ListTrialsResponse.Builder |
Response message for
[VizierService.ListTrials][google.cloud.aiplatform.v1.VizierService.ListTrials].
|
| ListTuningJobsRequest |
Request message for
[GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1.GenAiTuningService.ListTuningJobs].
|
| ListTuningJobsRequest.Builder |
Request message for
[GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1.GenAiTuningService.ListTuningJobs].
|
| ListTuningJobsResponse |
Response message for
[GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1.GenAiTuningService.ListTuningJobs]
Protobuf type
google.cloud.aiplatform.v1.ListTuningJobsResponse |
| ListTuningJobsResponse.Builder |
Response message for
[GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1.GenAiTuningService.ListTuningJobs]
Protobuf type
google.cloud.aiplatform.v1.ListTuningJobsResponse |
| LlmUtilityServiceProto | |
| LocationName | |
| LocationName.Builder |
Builder for projects/{project}/locations/{location}.
|
| LogprobsResult |
Logprobs Result
Protobuf type
google.cloud.aiplatform.v1.LogprobsResult |
| LogprobsResult.Builder |
Logprobs Result
Protobuf type
google.cloud.aiplatform.v1.LogprobsResult |
| LogprobsResult.Candidate |
Candidate for the logprobs token and score.
|
| LogprobsResult.Candidate.Builder |
Candidate for the logprobs token and score.
|
| LogprobsResult.TopCandidates |
Candidates with top log probabilities at each decoding step.
|
| LogprobsResult.TopCandidates.Builder |
Candidates with top log probabilities at each decoding step.
|
| LookupStudyRequest |
Request message for
[VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
|
| LookupStudyRequest.Builder |
Request message for
[VizierService.LookupStudy][google.cloud.aiplatform.v1.VizierService.LookupStudy].
|
| MachineResourcesProto | |
| MachineSpec |
Specification of a single machine.
|
| MachineSpec.Builder |
Specification of a single machine.
|
| ManualBatchTuningParameters |
Manual batch tuning parameters.
|
| ManualBatchTuningParameters.Builder |
Manual batch tuning parameters.
|
| ManualBatchTuningParametersProto | |
| MatchServiceProto | |
| Measurement |
A message representing a Measurement of a Trial.
|
| Measurement.Builder |
A message representing a Measurement of a Trial.
|
| Measurement.Metric |
A message representing a metric in the measurement.
|
| Measurement.Metric.Builder |
A message representing a metric in the measurement.
|
| MergeVersionAliasesRequest |
Request message for
[ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
|
| MergeVersionAliasesRequest.Builder |
Request message for
[ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
|
| MetadataProto | |
| MetadataSchema |
Instance of a general MetadataSchema.
|
| MetadataSchema.Builder |
Instance of a general MetadataSchema.
|
| MetadataSchemaName | |
| MetadataSchemaName.Builder |
Builder for
projects/{project}/locations/{location}/metadataStores/{metadata_store}/metadataSchemas/{metadata_schema}.
|
| MetadataSchemaProto | |
| MetadataServiceProto | |
| MetadataStore |
Instance of a metadata store.
|
| MetadataStore.Builder |
Instance of a metadata store.
|
| MetadataStore.DataplexConfig |
Represents Dataplex integration settings.
|
| MetadataStore.DataplexConfig.Builder |
Represents Dataplex integration settings.
|
| MetadataStore.MetadataStoreState |
Represents state information for a MetadataStore.
|
| MetadataStore.MetadataStoreState.Builder |
Represents state information for a MetadataStore.
|
| MetadataStoreName | |
| MetadataStoreName.Builder |
Builder for projects/{project}/locations/{location}/metadataStores/{metadata_store}.
|
| MetricxInput |
Input for MetricX metric.
|
| MetricxInput.Builder |
Input for MetricX metric.
|
| MetricxInstance |
Spec for MetricX instance - The fields used for evaluation are dependent on
the MetricX version.
|
| MetricxInstance.Builder |
Spec for MetricX instance - The fields used for evaluation are dependent on
the MetricX version.
|
| MetricxResult |
Spec for MetricX result - calculates the MetricX score for the given instance
using the version specified in the spec.
|
| MetricxResult.Builder |
Spec for MetricX result - calculates the MetricX score for the given instance
using the version specified in the spec.
|
| MetricxSpec |
Spec for MetricX metric.
|
| MetricxSpec.Builder |
Spec for MetricX metric.
|
| MigratableResource |
Represents one resource that exists in automl.googleapis.com,
datalabeling.googleapis.com or ml.googleapis.com.
|
| MigratableResource.AutomlDataset |
Represents one Dataset in automl.googleapis.com.
|
| MigratableResource.AutomlDataset.Builder |
Represents one Dataset in automl.googleapis.com.
|
| MigratableResource.AutomlModel |
Represents one Model in automl.googleapis.com.
|
| MigratableResource.AutomlModel.Builder |
Represents one Model in automl.googleapis.com.
|
| MigratableResource.Builder |
Represents one resource that exists in automl.googleapis.com,
datalabeling.googleapis.com or ml.googleapis.com.
|
| MigratableResource.DataLabelingDataset |
Represents one Dataset in datalabeling.googleapis.com.
|
| MigratableResource.DataLabelingDataset.Builder |
Represents one Dataset in datalabeling.googleapis.com.
|
| MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset |
Represents one AnnotatedDataset in datalabeling.googleapis.com.
|
| MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset.Builder |
Represents one AnnotatedDataset in datalabeling.googleapis.com.
|
| MigratableResource.MlEngineModelVersion |
Represents one model Version in ml.googleapis.com.
|
| MigratableResource.MlEngineModelVersion.Builder |
Represents one model Version in ml.googleapis.com.
|
| MigratableResourceProto | |
| MigrateResourceRequest |
Config of migrating one resource from automl.googleapis.com,
datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
|
| MigrateResourceRequest.Builder |
Config of migrating one resource from automl.googleapis.com,
datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
|
| MigrateResourceRequest.MigrateAutomlDatasetConfig |
Config for migrating Dataset in automl.googleapis.com to Vertex AI's
Dataset.
|
| MigrateResourceRequest.MigrateAutomlDatasetConfig.Builder |
Config for migrating Dataset in automl.googleapis.com to Vertex AI's
Dataset.
|
| MigrateResourceRequest.MigrateAutomlModelConfig |
Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
|
| MigrateResourceRequest.MigrateAutomlModelConfig.Builder |
Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
|
| MigrateResourceRequest.MigrateDataLabelingDatasetConfig |
Config for migrating Dataset in datalabeling.googleapis.com to Vertex
AI's Dataset.
|
| MigrateResourceRequest.MigrateDataLabelingDatasetConfig.Builder |
Config for migrating Dataset in datalabeling.googleapis.com to Vertex
AI's Dataset.
|
| MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig |
Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
Vertex AI's SavedQuery.
|
| MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig.Builder |
Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
Vertex AI's SavedQuery.
|
| MigrateResourceRequest.MigrateMlEngineModelVersionConfig |
Config for migrating version in ml.googleapis.com to Vertex AI's Model.
|
| MigrateResourceRequest.MigrateMlEngineModelVersionConfig.Builder |
Config for migrating version in ml.googleapis.com to Vertex AI's Model.
|
| MigrateResourceResponse |
Describes a successfully migrated resource.
|
| MigrateResourceResponse.Builder |
Describes a successfully migrated resource.
|
| MigrationServiceProto | |
| ModalityTokenCount |
Represents token counting info for a single modality.
|
| ModalityTokenCount.Builder |
Represents token counting info for a single modality.
|
| Model |
A trained machine learning Model.
|
| Model.BaseModelSource |
User input field to specify the base model source.
|
| Model.BaseModelSource.Builder |
User input field to specify the base model source.
|
| Model.Builder |
A trained machine learning Model.
|
| Model.DataStats |
Stats of data used for train or evaluate the Model.
|
| Model.DataStats.Builder |
Stats of data used for train or evaluate the Model.
|
| Model.ExportFormat |
Represents export format supported by the Model.
|
| Model.ExportFormat.Builder |
Represents export format supported by the Model.
|
| Model.OriginalModelInfo |
Contains information about the original Model if this Model is a copy.
|
| Model.OriginalModelInfo.Builder |
Contains information about the original Model if this Model is a copy.
|
| ModelContainerSpec |
Specification of a container for serving predictions.
|
| ModelContainerSpec.Builder |
Specification of a container for serving predictions.
|
| ModelDeploymentMonitoringBigQueryTable |
ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name
as well as some information of the logs stored in this table.
|
| ModelDeploymentMonitoringBigQueryTable.Builder |
ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name
as well as some information of the logs stored in this table.
|
| ModelDeploymentMonitoringJob |
Represents a job that runs periodically to monitor the deployed models in an
endpoint.
|
| ModelDeploymentMonitoringJob.Builder |
Represents a job that runs periodically to monitor the deployed models in an
endpoint.
|
| ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata |
All metadata of most recent monitoring pipelines.
|
| ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.Builder |
All metadata of most recent monitoring pipelines.
|
| ModelDeploymentMonitoringJobName | |
| ModelDeploymentMonitoringJobName.Builder |
Builder for
projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}.
|
| ModelDeploymentMonitoringJobProto | |
| ModelDeploymentMonitoringObjectiveConfig |
ModelDeploymentMonitoringObjectiveConfig contains the pair of
deployed_model_id to ModelMonitoringObjectiveConfig.
|
| ModelDeploymentMonitoringObjectiveConfig.Builder |
ModelDeploymentMonitoringObjectiveConfig contains the pair of
deployed_model_id to ModelMonitoringObjectiveConfig.
|
| ModelDeploymentMonitoringScheduleConfig |
The config for scheduling monitoring job.
|
| ModelDeploymentMonitoringScheduleConfig.Builder |
The config for scheduling monitoring job.
|
| ModelEvaluation |
A collection of metrics calculated by comparing Model's predictions on all of
the test data against annotations from the test data.
|
| ModelEvaluation.Builder |
A collection of metrics calculated by comparing Model's predictions on all of
the test data against annotations from the test data.
|
| ModelEvaluation.ModelEvaluationExplanationSpec |
Protobuf type
google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec |
| ModelEvaluation.ModelEvaluationExplanationSpec.Builder |
Protobuf type
google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec |
| ModelEvaluationName | |
| ModelEvaluationName.Builder |
Builder for projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}.
|
| ModelEvaluationProto | |
| ModelEvaluationSlice |
A collection of metrics calculated by comparing Model's predictions on a
slice of the test data against ground truth annotations.
|
| ModelEvaluationSlice.Builder |
A collection of metrics calculated by comparing Model's predictions on a
slice of the test data against ground truth annotations.
|
| ModelEvaluationSlice.Slice |
Definition of a slice.
|
| ModelEvaluationSlice.Slice.Builder |
Definition of a slice.
|
| ModelEvaluationSlice.Slice.SliceSpec |
Specification for how the data should be sliced.
|
| ModelEvaluationSlice.Slice.SliceSpec.Builder |
Specification for how the data should be sliced.
|
| ModelEvaluationSlice.Slice.SliceSpec.Range |
A range of values for slice(s).
|
| ModelEvaluationSlice.Slice.SliceSpec.Range.Builder |
A range of values for slice(s).
|
| ModelEvaluationSlice.Slice.SliceSpec.SliceConfig |
Specification message containing the config for this SliceSpec.
|
| ModelEvaluationSlice.Slice.SliceSpec.SliceConfig.Builder |
Specification message containing the config for this SliceSpec.
|
| ModelEvaluationSlice.Slice.SliceSpec.Value |
Single value that supports strings and floats.
|
| ModelEvaluationSlice.Slice.SliceSpec.Value.Builder |
Single value that supports strings and floats.
|
| ModelEvaluationSliceName | |
| ModelEvaluationSliceName.Builder |
Builder for
projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}.
|
| ModelEvaluationSliceProto | |
| ModelExplanation |
Aggregated explanation metrics for a Model over a set of instances.
|
| ModelExplanation.Builder |
Aggregated explanation metrics for a Model over a set of instances.
|
| ModelGardenServiceProto | |
| ModelGardenSource |
Contains information about the source of the models generated from Model
Garden.
|
| ModelGardenSource.Builder |
Contains information about the source of the models generated from Model
Garden.
|
| ModelMonitoringAlertConfig |
The alert config for model monitoring.
|
| ModelMonitoringAlertConfig.Builder |
The alert config for model monitoring.
|
| ModelMonitoringAlertConfig.EmailAlertConfig |
The config for email alert.
|
| ModelMonitoringAlertConfig.EmailAlertConfig.Builder |
The config for email alert.
|
| ModelMonitoringObjectiveConfig |
The objective configuration for model monitoring, including the information
needed to detect anomalies for one particular model.
|
| ModelMonitoringObjectiveConfig.Builder |
The objective configuration for model monitoring, including the information
needed to detect anomalies for one particular model.
|
| ModelMonitoringObjectiveConfig.ExplanationConfig |
The config for integrating with Vertex Explainable AI.
|
| ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
The config for integrating with Vertex Explainable AI.
|
| ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline |
Output from
[BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for
Model Monitoring baseline dataset, which can be used to generate baseline
attribution scores.
|
| ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder |
Output from
[BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for
Model Monitoring baseline dataset, which can be used to generate baseline
attribution scores.
|
| ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig |
The config for Prediction data drift detection.
|
| ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder |
The config for Prediction data drift detection.
|
| ModelMonitoringObjectiveConfig.TrainingDataset |
Training Dataset information.
|
| ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
Training Dataset information.
|
| ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig |
The config for Training & Prediction data skew detection.
|
| ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder |
The config for Training & Prediction data skew detection.
|
| ModelMonitoringProto | |
| ModelMonitoringStatsAnomalies |
Statistics and anomalies generated by Model Monitoring.
|
| ModelMonitoringStatsAnomalies.Builder |
Statistics and anomalies generated by Model Monitoring.
|
| ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies |
Historical Stats (and Anomalies) for a specific Feature.
|
| ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
Historical Stats (and Anomalies) for a specific Feature.
|
| ModelName | |
| ModelName.Builder |
Builder for projects/{project}/locations/{location}/models/{model}.
|
| ModelProto | |
| ModelServiceProto | |
| ModelSourceInfo |
Detail description of the source information of the model.
|
| ModelSourceInfo.Builder |
Detail description of the source information of the model.
|
| ModelVersionCheckpoint |
A proto representation of a Spanner-stored ModelVersionCheckpoint.
|
| ModelVersionCheckpoint.Builder |
A proto representation of a Spanner-stored ModelVersionCheckpoint.
|
| MutateDeployedIndexOperationMetadata |
Runtime operation information for
[IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
|
| MutateDeployedIndexOperationMetadata.Builder |
Runtime operation information for
[IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
|
| MutateDeployedIndexRequest |
Request message for
[IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
|
| MutateDeployedIndexRequest.Builder |
Request message for
[IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
|
| MutateDeployedIndexResponse |
Response message for
[IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
|
| MutateDeployedIndexResponse.Builder |
Response message for
[IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex].
|
| MutateDeployedModelOperationMetadata |
Runtime operation information for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelOperationMetadata.Builder |
Runtime operation information for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelRequest |
Request message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelRequest.Builder |
Request message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelResponse |
Response message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelResponse.Builder |
Response message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| NasJob |
Represents a Neural Architecture Search (NAS) job.
|
| NasJob.Builder |
Represents a Neural Architecture Search (NAS) job.
|
| NasJobName | |
| NasJobName.Builder |
Builder for projects/{project}/locations/{location}/nasJobs/{nas_job}.
|
| NasJobOutput |
Represents a uCAIP NasJob output.
|
| NasJobOutput.Builder |
Represents a uCAIP NasJob output.
|
| NasJobOutput.MultiTrialJobOutput |
The output of a multi-trial Neural Architecture Search (NAS) jobs.
|
| NasJobOutput.MultiTrialJobOutput.Builder |
The output of a multi-trial Neural Architecture Search (NAS) jobs.
|
| NasJobProto | |
| NasJobSpec |
Represents the spec of a NasJob.
|
| NasJobSpec.Builder |
Represents the spec of a NasJob.
|
| NasJobSpec.MultiTrialAlgorithmSpec |
The spec of multi-trial Neural Architecture Search (NAS).
|
| NasJobSpec.MultiTrialAlgorithmSpec.Builder |
The spec of multi-trial Neural Architecture Search (NAS).
|
| NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec |
Represents a metric to optimize.
|
| NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec.Builder |
Represents a metric to optimize.
|
| NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec |
Represent spec for search trials.
|
| NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec.Builder |
Represent spec for search trials.
|
| NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec |
Represent spec for train trials.
|
| NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder |
Represent spec for train trials.
|
| NasTrial |
Represents a uCAIP NasJob trial.
|
| NasTrial.Builder |
Represents a uCAIP NasJob trial.
|
| NasTrialDetail |
Represents a NasTrial details along with its parameters.
|
| NasTrialDetail.Builder |
Represents a NasTrial details along with its parameters.
|
| NasTrialDetailName | |
| NasTrialDetailName.Builder |
Builder for
projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}.
|
| NearestNeighborQuery |
A query to find a number of similar entities.
|
| NearestNeighborQuery.Builder |
A query to find a number of similar entities.
|
| NearestNeighborQuery.Embedding |
The embedding vector.
|
| NearestNeighborQuery.Embedding.Builder |
The embedding vector.
|
| NearestNeighborQuery.NumericFilter |
Numeric filter is used to search a subset of the entities by using boolean
rules on numeric columns.
|
| NearestNeighborQuery.NumericFilter.Builder |
Numeric filter is used to search a subset of the entities by using boolean
rules on numeric columns.
|
| NearestNeighborQuery.Parameters |
Parameters that can be overrided in each query to tune query latency and
recall.
|
| NearestNeighborQuery.Parameters.Builder |
Parameters that can be overrided in each query to tune query latency and
recall.
|
| NearestNeighborQuery.StringFilter |
String filter is used to search a subset of the entities by using boolean
rules on string columns.
|
| NearestNeighborQuery.StringFilter.Builder |
String filter is used to search a subset of the entities by using boolean
rules on string columns.
|
| NearestNeighbors |
Nearest neighbors for one query.
|
| NearestNeighbors.Builder |
Nearest neighbors for one query.
|
| NearestNeighbors.Neighbor |
A neighbor of the query vector.
|
| NearestNeighbors.Neighbor.Builder |
A neighbor of the query vector.
|
| NearestNeighborSearchOperationMetadata |
Runtime operation metadata with regard to Matching Engine Index.
|
| NearestNeighborSearchOperationMetadata.Builder |
Runtime operation metadata with regard to Matching Engine Index.
|
| NearestNeighborSearchOperationMetadata.ContentValidationStats |
Protobuf type
google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.ContentValidationStats |
| NearestNeighborSearchOperationMetadata.ContentValidationStats.Builder |
Protobuf type
google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.ContentValidationStats |
| NearestNeighborSearchOperationMetadata.RecordError |
Protobuf type
google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.RecordError |
| NearestNeighborSearchOperationMetadata.RecordError.Builder |
Protobuf type
google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.RecordError |
| Neighbor |
Neighbors for example-based explanations.
|
| Neighbor.Builder |
Neighbors for example-based explanations.
|
| NetworkSpec |
Network spec.
|
| NetworkSpec.Builder |
Network spec.
|
| NetworkSpecProto | |
| NfsMount |
Represents a mount configuration for Network File System (NFS) to mount.
|
| NfsMount.Builder |
Represents a mount configuration for Network File System (NFS) to mount.
|
| NotebookEucConfig |
The euc configuration of NotebookRuntimeTemplate.
|
| NotebookEucConfig.Builder |
The euc configuration of NotebookRuntimeTemplate.
|
| NotebookEucConfigProto | |
| NotebookExecutionJob |
NotebookExecutionJob represents an instance of a notebook execution.
|
| NotebookExecutionJob.Builder |
NotebookExecutionJob represents an instance of a notebook execution.
|
| NotebookExecutionJob.CustomEnvironmentSpec |
Compute configuration to use for an execution job.
|
| NotebookExecutionJob.CustomEnvironmentSpec.Builder |
Compute configuration to use for an execution job.
|
| NotebookExecutionJob.DataformRepositorySource |
The Dataform Repository containing the input notebook.
|
| NotebookExecutionJob.DataformRepositorySource.Builder |
The Dataform Repository containing the input notebook.
|
| NotebookExecutionJob.DirectNotebookSource |
The content of the input notebook in ipynb format.
|
| NotebookExecutionJob.DirectNotebookSource.Builder |
The content of the input notebook in ipynb format.
|
| NotebookExecutionJob.GcsNotebookSource |
The Cloud Storage uri for the input notebook.
|
| NotebookExecutionJob.GcsNotebookSource.Builder |
The Cloud Storage uri for the input notebook.
|
| NotebookExecutionJob.WorkbenchRuntime |
Configuration for a Workbench Instances-based environment.
|
| NotebookExecutionJob.WorkbenchRuntime.Builder |
Configuration for a Workbench Instances-based environment.
|
| NotebookExecutionJobName | |
| NotebookExecutionJobName.Builder |
Builder for
projects/{project}/locations/{location}/notebookExecutionJobs/{notebook_execution_job}.
|
| NotebookExecutionJobProto | |
| NotebookIdleShutdownConfig |
The idle shutdown configuration of NotebookRuntimeTemplate, which contains
the idle_timeout as required field.
|
| NotebookIdleShutdownConfig.Builder |
The idle shutdown configuration of NotebookRuntimeTemplate, which contains
the idle_timeout as required field.
|
| NotebookIdleShutdownConfigProto | |
| NotebookRuntime |
A runtime is a virtual machine allocated to a particular user for a
particular Notebook file on temporary basis with lifetime limited to 24
hours.
|
| NotebookRuntime.Builder |
A runtime is a virtual machine allocated to a particular user for a
particular Notebook file on temporary basis with lifetime limited to 24
hours.
|
| NotebookRuntimeName | |
| NotebookRuntimeName.Builder |
Builder for projects/{project}/locations/{location}/notebookRuntimes/{notebook_runtime}.
|
| NotebookRuntimeProto | |
| NotebookRuntimeTemplate |
A template that specifies runtime configurations such as machine type,
runtime version, network configurations, etc.
|
| NotebookRuntimeTemplate.Builder |
A template that specifies runtime configurations such as machine type,
runtime version, network configurations, etc.
|
| NotebookRuntimeTemplateName | |
| NotebookRuntimeTemplateName.Builder |
Builder for
projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}.
|
| NotebookRuntimeTemplateRef |
Points to a NotebookRuntimeTemplateRef.
|
| NotebookRuntimeTemplateRef.Builder |
Points to a NotebookRuntimeTemplateRef.
|
| NotebookRuntimeTemplateRefProto | |
| NotebookServiceProto | |
| NotebookSoftwareConfig |
Notebook Software Config.
|
| NotebookSoftwareConfig.Builder |
Notebook Software Config.
|
| NotebookSoftwareConfigProto | |
| OpenApiProto | |
| OperationProto | |
| PairwiseMetricInput |
Input for pairwise metric.
|
| PairwiseMetricInput.Builder |
Input for pairwise metric.
|
| PairwiseMetricInstance |
Pairwise metric instance.
|
| PairwiseMetricInstance.Builder |
Pairwise metric instance.
|
| PairwiseMetricResult |
Spec for pairwise metric result.
|
| PairwiseMetricResult.Builder |
Spec for pairwise metric result.
|
| PairwiseMetricSpec |
Spec for pairwise metric.
|
| PairwiseMetricSpec.Builder |
Spec for pairwise metric.
|
| PairwiseQuestionAnsweringQualityInput |
Input for pairwise question answering quality metric.
|
| PairwiseQuestionAnsweringQualityInput.Builder |
Input for pairwise question answering quality metric.
|
| PairwiseQuestionAnsweringQualityInstance |
Spec for pairwise question answering quality instance.
|
| PairwiseQuestionAnsweringQualityInstance.Builder |
Spec for pairwise question answering quality instance.
|
| PairwiseQuestionAnsweringQualityResult |
Spec for pairwise question answering quality result.
|
| PairwiseQuestionAnsweringQualityResult.Builder |
Spec for pairwise question answering quality result.
|
| PairwiseQuestionAnsweringQualitySpec |
Spec for pairwise question answering quality score metric.
|
| PairwiseQuestionAnsweringQualitySpec.Builder |
Spec for pairwise question answering quality score metric.
|
| PairwiseSummarizationQualityInput |
Input for pairwise summarization quality metric.
|
| PairwiseSummarizationQualityInput.Builder |
Input for pairwise summarization quality metric.
|
| PairwiseSummarizationQualityInstance |
Spec for pairwise summarization quality instance.
|
| PairwiseSummarizationQualityInstance.Builder |
Spec for pairwise summarization quality instance.
|
| PairwiseSummarizationQualityResult |
Spec for pairwise summarization quality result.
|
| PairwiseSummarizationQualityResult.Builder |
Spec for pairwise summarization quality result.
|
| PairwiseSummarizationQualitySpec |
Spec for pairwise summarization quality score metric.
|
| PairwiseSummarizationQualitySpec.Builder |
Spec for pairwise summarization quality score metric.
|
| Part |
A datatype containing media that is part of a multi-part `Content` message.
|
| Part.Builder |
A datatype containing media that is part of a multi-part `Content` message.
|
| PauseModelDeploymentMonitoringJobRequest |
Request message for
[JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob].
|
| PauseModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob].
|
| PauseScheduleRequest |
Request message for
[ScheduleService.PauseSchedule][google.cloud.aiplatform.v1.ScheduleService.PauseSchedule].
|
| PauseScheduleRequest.Builder |
Request message for
[ScheduleService.PauseSchedule][google.cloud.aiplatform.v1.ScheduleService.PauseSchedule].
|
| PersistentDiskSpec |
Represents the spec of [persistent
disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.
|
| PersistentDiskSpec.Builder |
Represents the spec of [persistent
disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.
|
| PersistentResource |
Represents long-lasting resources that are dedicated to users to runs custom
workloads.
|
| PersistentResource.Builder |
Represents long-lasting resources that are dedicated to users to runs custom
workloads.
|
| PersistentResourceName | |
| PersistentResourceName.Builder |
Builder for projects/{project}/locations/{location}/persistentResources/{persistent_resource}.
|
| PersistentResourceProto | |
| PersistentResourceServiceProto | |
| Pipeline | |
| PipelineFailurePolicyProto | |
| PipelineJob |
An instance of a machine learning PipelineJob.
|
| PipelineJob.Builder |
An instance of a machine learning PipelineJob.
|
| PipelineJob.RuntimeConfig |
The runtime config of a PipelineJob.
|
| PipelineJob.RuntimeConfig.Builder |
The runtime config of a PipelineJob.
|
| PipelineJob.RuntimeConfig.InputArtifact |
The type of an input artifact.
|
| PipelineJob.RuntimeConfig.InputArtifact.Builder |
The type of an input artifact.
|
| PipelineJobDetail |
The runtime detail of PipelineJob.
|
| PipelineJobDetail.Builder |
The runtime detail of PipelineJob.
|
| PipelineJobName | |
| PipelineJobName.Builder |
Builder for projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}.
|
| PipelineServiceProto | |
| PipelineStateProto | |
| PipelineTaskDetail |
The runtime detail of a task execution.
|
| PipelineTaskDetail.ArtifactList |
A list of artifact metadata.
|
| PipelineTaskDetail.ArtifactList.Builder |
A list of artifact metadata.
|
| PipelineTaskDetail.Builder |
The runtime detail of a task execution.
|
| PipelineTaskDetail.PipelineTaskStatus |
A single record of the task status.
|
| PipelineTaskDetail.PipelineTaskStatus.Builder |
A single record of the task status.
|
| PipelineTaskExecutorDetail |
The runtime detail of a pipeline executor.
|
| PipelineTaskExecutorDetail.Builder |
The runtime detail of a pipeline executor.
|
| PipelineTaskExecutorDetail.ContainerDetail |
The detail of a container execution.
|
| PipelineTaskExecutorDetail.ContainerDetail.Builder |
The detail of a container execution.
|
| PipelineTaskExecutorDetail.CustomJobDetail |
The detailed info for a custom job executor.
|
| PipelineTaskExecutorDetail.CustomJobDetail.Builder |
The detailed info for a custom job executor.
|
| PipelineTemplateMetadata |
Pipeline template metadata if
[PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
is from supported template registry.
|
| PipelineTemplateMetadata.Builder |
Pipeline template metadata if
[PipelineJob.template_uri][google.cloud.aiplatform.v1.PipelineJob.template_uri]
is from supported template registry.
|
| PointwiseMetricInput |
Input for pointwise metric.
|
| PointwiseMetricInput.Builder |
Input for pointwise metric.
|
| PointwiseMetricInstance |
Pointwise metric instance.
|
| PointwiseMetricInstance.Builder |
Pointwise metric instance.
|
| PointwiseMetricResult |
Spec for pointwise metric result.
|
| PointwiseMetricResult.Builder |
Spec for pointwise metric result.
|
| PointwiseMetricSpec |
Spec for pointwise metric.
|
| PointwiseMetricSpec.Builder |
Spec for pointwise metric.
|
| Port |
Represents a network port in a container.
|
| Port.Builder |
Represents a network port in a container.
|
| PostStartupScriptConfig |
Post startup script config.
|
| PostStartupScriptConfig.Builder |
Post startup script config.
|
| PredefinedSplit |
Assigns input data to training, validation, and test sets based on the
value of a provided key.
|
| PredefinedSplit.Builder |
Assigns input data to training, validation, and test sets based on the
value of a provided key.
|
| PredictionServiceProto | |
| PredictRequest |
Request message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictRequest.Builder |
Request message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictRequestResponseLoggingConfig |
Configuration for logging request-response to a BigQuery table.
|
| PredictRequestResponseLoggingConfig.Builder |
Configuration for logging request-response to a BigQuery table.
|
| PredictResponse |
Response message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictResponse.Builder |
Response message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictSchemata |
Contains the schemata used in Model's predictions and explanations via
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict],
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]
and [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| PredictSchemata.Builder |
Contains the schemata used in Model's predictions and explanations via
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict],
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]
and [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| Presets |
Preset configuration for example-based explanations
Protobuf type
google.cloud.aiplatform.v1.Presets |
| Presets.Builder |
Preset configuration for example-based explanations
Protobuf type
google.cloud.aiplatform.v1.Presets |
| PrivateEndpoints |
PrivateEndpoints proto is used to provide paths for users to send
requests privately.
|
| PrivateEndpoints.Builder |
PrivateEndpoints proto is used to provide paths for users to send
requests privately.
|
| PrivateServiceConnectConfig |
Represents configuration for private service connect.
|
| PrivateServiceConnectConfig.Builder |
Represents configuration for private service connect.
|
| Probe |
Probe describes a health check to be performed against a container to
determine whether it is alive or ready to receive traffic.
|
| Probe.Builder |
Probe describes a health check to be performed against a container to
determine whether it is alive or ready to receive traffic.
|
| Probe.ExecAction |
ExecAction specifies a command to execute.
|
| Probe.ExecAction.Builder |
ExecAction specifies a command to execute.
|
| Probe.GrpcAction |
GrpcAction checks the health of a container using a gRPC service.
|
| Probe.GrpcAction.Builder |
GrpcAction checks the health of a container using a gRPC service.
|
| Probe.HttpGetAction |
HttpGetAction describes an action based on HTTP Get requests.
|
| Probe.HttpGetAction.Builder |
HttpGetAction describes an action based on HTTP Get requests.
|
| Probe.HttpHeader |
HttpHeader describes a custom header to be used in HTTP probes
Protobuf type
google.cloud.aiplatform.v1.Probe.HttpHeader |
| Probe.HttpHeader.Builder |
HttpHeader describes a custom header to be used in HTTP probes
Protobuf type
google.cloud.aiplatform.v1.Probe.HttpHeader |
| Probe.TcpSocketAction |
TcpSocketAction probes the health of a container by opening a TCP socket
connection.
|
| Probe.TcpSocketAction.Builder |
TcpSocketAction probes the health of a container by opening a TCP socket
connection.
|
| ProjectName | |
| ProjectName.Builder |
Builder for projects/{project}.
|
| PscAutomatedEndpoints |
PscAutomatedEndpoints defines the output of the forwarding rule
automatically created by each PscAutomationConfig.
|
| PscAutomatedEndpoints.Builder |
PscAutomatedEndpoints defines the output of the forwarding rule
automatically created by each PscAutomationConfig.
|
| PSCAutomationConfig |
PSC config that is used to automatically create forwarding rule via
ServiceConnectionMap.
|
| PSCAutomationConfig.Builder |
PSC config that is used to automatically create forwarding rule via
ServiceConnectionMap.
|
| PublisherModel |
A Model Garden Publisher Model.
|
| PublisherModel.Builder |
A Model Garden Publisher Model.
|
| PublisherModel.CallToAction |
Actions could take on this Publisher Model.
|
| PublisherModel.CallToAction.Builder |
Actions could take on this Publisher Model.
|
| PublisherModel.CallToAction.Deploy |
Model metadata that is needed for UploadModel or
DeployModel/CreateEndpoint requests.
|
| PublisherModel.CallToAction.Deploy.Builder |
Model metadata that is needed for UploadModel or
DeployModel/CreateEndpoint requests.
|
| PublisherModel.CallToAction.Deploy.DeployMetadata |
Metadata information about the deployment for managing deployment
config.
|
| PublisherModel.CallToAction.Deploy.DeployMetadata.Builder |
Metadata information about the deployment for managing deployment
config.
|
| PublisherModel.CallToAction.DeployGke |
Configurations for PublisherModel GKE deployment
Protobuf type
google.cloud.aiplatform.v1.PublisherModel.CallToAction.DeployGke |
| PublisherModel.CallToAction.DeployGke.Builder |
Configurations for PublisherModel GKE deployment
Protobuf type
google.cloud.aiplatform.v1.PublisherModel.CallToAction.DeployGke |
| PublisherModel.CallToAction.OpenFineTuningPipelines |
Open fine tuning pipelines.
|
| PublisherModel.CallToAction.OpenFineTuningPipelines.Builder |
Open fine tuning pipelines.
|
| PublisherModel.CallToAction.OpenNotebooks |
Open notebooks.
|
| PublisherModel.CallToAction.OpenNotebooks.Builder |
Open notebooks.
|
| PublisherModel.CallToAction.RegionalResourceReferences |
The regional resource name or the URI.
|
| PublisherModel.CallToAction.RegionalResourceReferences.Builder |
The regional resource name or the URI.
|
| PublisherModel.CallToAction.ViewRestApi |
Rest API docs.
|
| PublisherModel.CallToAction.ViewRestApi.Builder |
Rest API docs.
|
| PublisherModel.Documentation |
A named piece of documentation.
|
| PublisherModel.Documentation.Builder |
A named piece of documentation.
|
| PublisherModel.ResourceReference |
Reference to a resource.
|
| PublisherModel.ResourceReference.Builder |
Reference to a resource.
|
| PublisherModelName | |
| PublisherModelName.Builder |
Builder for publishers/{publisher}/models/{model}.
|
| PublisherModelProto | |
| PurgeArtifactsMetadata |
Details of operations that perform
[MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
|
| PurgeArtifactsMetadata.Builder |
Details of operations that perform
[MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
|
| PurgeArtifactsRequest |
Request message for
[MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
|
| PurgeArtifactsRequest.Builder |
Request message for
[MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
|
| PurgeArtifactsResponse |
Response message for
[MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
|
| PurgeArtifactsResponse.Builder |
Response message for
[MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts].
|
| PurgeContextsMetadata |
Details of operations that perform
[MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
|
| PurgeContextsMetadata.Builder |
Details of operations that perform
[MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
|
| PurgeContextsRequest |
Request message for
[MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
|
| PurgeContextsRequest.Builder |
Request message for
[MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
|
| PurgeContextsResponse |
Response message for
[MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
|
| PurgeContextsResponse.Builder |
Response message for
[MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts].
|
| PurgeExecutionsMetadata |
Details of operations that perform
[MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
|
| PurgeExecutionsMetadata.Builder |
Details of operations that perform
[MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
|
| PurgeExecutionsRequest |
Request message for
[MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
|
| PurgeExecutionsRequest.Builder |
Request message for
[MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
|
| PurgeExecutionsResponse |
Response message for
[MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
|
| PurgeExecutionsResponse.Builder |
Response message for
[MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions].
|
| PythonPackageSpec |
The spec of a Python packaged code.
|
| PythonPackageSpec.Builder |
The spec of a Python packaged code.
|
| QueryArtifactLineageSubgraphRequest |
Request message for
[MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
|
| QueryArtifactLineageSubgraphRequest.Builder |
Request message for
[MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph].
|
| QueryContextLineageSubgraphRequest |
Request message for
[MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
|
| QueryContextLineageSubgraphRequest.Builder |
Request message for
[MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph].
|
| QueryDeployedModelsRequest |
Request message for QueryDeployedModels method.
|
| QueryDeployedModelsRequest.Builder |
Request message for QueryDeployedModels method.
|
| QueryDeployedModelsResponse |
Response message for QueryDeployedModels method.
|
| QueryDeployedModelsResponse.Builder |
Response message for QueryDeployedModels method.
|
| QueryExecutionInputsAndOutputsRequest |
Request message for
[MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
|
| QueryExecutionInputsAndOutputsRequest.Builder |
Request message for
[MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs].
|
| QueryReasoningEngineRequest |
Request message for [ReasoningEngineExecutionService.Query][].
|
| QueryReasoningEngineRequest.Builder |
Request message for [ReasoningEngineExecutionService.Query][].
|
| QueryReasoningEngineResponse |
Response message for [ReasoningEngineExecutionService.Query][]
Protobuf type
google.cloud.aiplatform.v1.QueryReasoningEngineResponse |
| QueryReasoningEngineResponse.Builder |
Response message for [ReasoningEngineExecutionService.Query][]
Protobuf type
google.cloud.aiplatform.v1.QueryReasoningEngineResponse |
| QuestionAnsweringCorrectnessInput |
Input for question answering correctness metric.
|
| QuestionAnsweringCorrectnessInput.Builder |
Input for question answering correctness metric.
|
| QuestionAnsweringCorrectnessInstance |
Spec for question answering correctness instance.
|
| QuestionAnsweringCorrectnessInstance.Builder |
Spec for question answering correctness instance.
|
| QuestionAnsweringCorrectnessResult |
Spec for question answering correctness result.
|
| QuestionAnsweringCorrectnessResult.Builder |
Spec for question answering correctness result.
|
| QuestionAnsweringCorrectnessSpec |
Spec for question answering correctness metric.
|
| QuestionAnsweringCorrectnessSpec.Builder |
Spec for question answering correctness metric.
|
| QuestionAnsweringHelpfulnessInput |
Input for question answering helpfulness metric.
|
| QuestionAnsweringHelpfulnessInput.Builder |
Input for question answering helpfulness metric.
|
| QuestionAnsweringHelpfulnessInstance |
Spec for question answering helpfulness instance.
|
| QuestionAnsweringHelpfulnessInstance.Builder |
Spec for question answering helpfulness instance.
|
| QuestionAnsweringHelpfulnessResult |
Spec for question answering helpfulness result.
|
| QuestionAnsweringHelpfulnessResult.Builder |
Spec for question answering helpfulness result.
|
| QuestionAnsweringHelpfulnessSpec |
Spec for question answering helpfulness metric.
|
| QuestionAnsweringHelpfulnessSpec.Builder |
Spec for question answering helpfulness metric.
|
| QuestionAnsweringQualityInput |
Input for question answering quality metric.
|
| QuestionAnsweringQualityInput.Builder |
Input for question answering quality metric.
|
| QuestionAnsweringQualityInstance |
Spec for question answering quality instance.
|
| QuestionAnsweringQualityInstance.Builder |
Spec for question answering quality instance.
|
| QuestionAnsweringQualityResult |
Spec for question answering quality result.
|
| QuestionAnsweringQualityResult.Builder |
Spec for question answering quality result.
|
| QuestionAnsweringQualitySpec |
Spec for question answering quality score metric.
|
| QuestionAnsweringQualitySpec.Builder |
Spec for question answering quality score metric.
|
| QuestionAnsweringRelevanceInput |
Input for question answering relevance metric.
|
| QuestionAnsweringRelevanceInput.Builder |
Input for question answering relevance metric.
|
| QuestionAnsweringRelevanceInstance |
Spec for question answering relevance instance.
|
| QuestionAnsweringRelevanceInstance.Builder |
Spec for question answering relevance instance.
|
| QuestionAnsweringRelevanceResult |
Spec for question answering relevance result.
|
| QuestionAnsweringRelevanceResult.Builder |
Spec for question answering relevance result.
|
| QuestionAnsweringRelevanceSpec |
Spec for question answering relevance metric.
|
| QuestionAnsweringRelevanceSpec.Builder |
Spec for question answering relevance metric.
|
| RagChunk |
A RagChunk includes the content of a chunk of a RagFile, and associated
metadata.
|
| RagChunk.Builder |
A RagChunk includes the content of a chunk of a RagFile, and associated
metadata.
|
| RagChunk.PageSpan |
Represents where the chunk starts and ends in the document.
|
| RagChunk.PageSpan.Builder |
Represents where the chunk starts and ends in the document.
|
| RagContexts |
Relevant contexts for one query.
|
| RagContexts.Builder |
Relevant contexts for one query.
|
| RagContexts.Context |
A context of the query.
|
| RagContexts.Context.Builder |
A context of the query.
|
| RagCorpus |
A RagCorpus is a RagFile container and a project can have multiple
RagCorpora.
|
| RagCorpus.Builder |
A RagCorpus is a RagFile container and a project can have multiple
RagCorpora.
|
| RagCorpusName | |
| RagCorpusName.Builder |
Builder for projects/{project}/locations/{location}/ragCorpora/{rag_corpus}.
|
| RagEmbeddingModelConfig |
Config for the embedding model to use for RAG.
|
| RagEmbeddingModelConfig.Builder |
Config for the embedding model to use for RAG.
|
| RagEmbeddingModelConfig.VertexPredictionEndpoint |
Config representing a model hosted on Vertex Prediction Endpoint.
|
| RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder |
Config representing a model hosted on Vertex Prediction Endpoint.
|
| RagFile |
A RagFile contains user data for chunking, embedding and indexing.
|
| RagFile.Builder |
A RagFile contains user data for chunking, embedding and indexing.
|
| RagFileChunkingConfig |
Specifies the size and overlap of chunks for RagFiles.
|
| RagFileChunkingConfig.Builder |
Specifies the size and overlap of chunks for RagFiles.
|
| RagFileChunkingConfig.FixedLengthChunking |
Specifies the fixed length chunking config.
|
| RagFileChunkingConfig.FixedLengthChunking.Builder |
Specifies the fixed length chunking config.
|
| RagFileName | |
| RagFileName.Builder |
Builder for
projects/{project}/locations/{location}/ragCorpora/{rag_corpus}/ragFiles/{rag_file}.
|
| RagFileParsingConfig |
Specifies the parsing config for RagFiles.
|
| RagFileParsingConfig.Builder |
Specifies the parsing config for RagFiles.
|
| RagFileParsingConfig.LayoutParser |
Document AI Layout Parser config.
|
| RagFileParsingConfig.LayoutParser.Builder |
Document AI Layout Parser config.
|
| RagFileParsingConfig.LlmParser |
Specifies the advanced parsing for RagFiles.
|
| RagFileParsingConfig.LlmParser.Builder |
Specifies the advanced parsing for RagFiles.
|
| RagFileTransformationConfig |
Specifies the transformation config for RagFiles.
|
| RagFileTransformationConfig.Builder |
Specifies the transformation config for RagFiles.
|
| RagQuery |
A query to retrieve relevant contexts.
|
| RagQuery.Builder |
A query to retrieve relevant contexts.
|
| RagRetrievalConfig |
Specifies the context retrieval config.
|
| RagRetrievalConfig.Builder |
Specifies the context retrieval config.
|
| RagRetrievalConfig.Filter |
Config for filters.
|
| RagRetrievalConfig.Filter.Builder |
Config for filters.
|
| RagRetrievalConfig.Ranking |
Config for ranking and reranking.
|
| RagRetrievalConfig.Ranking.Builder |
Config for ranking and reranking.
|
| RagRetrievalConfig.Ranking.LlmRanker |
Config for LlmRanker.
|
| RagRetrievalConfig.Ranking.LlmRanker.Builder |
Config for LlmRanker.
|
| RagRetrievalConfig.Ranking.RankService |
Config for Rank Service.
|
| RagRetrievalConfig.Ranking.RankService.Builder |
Config for Rank Service.
|
| RagVectorDbConfig |
Config for the Vector DB to use for RAG.
|
| RagVectorDbConfig.Builder |
Config for the Vector DB to use for RAG.
|
| RagVectorDbConfig.Pinecone |
The config for the Pinecone.
|
| RagVectorDbConfig.Pinecone.Builder |
The config for the Pinecone.
|
| RagVectorDbConfig.RagManagedDb |
The config for the default RAG-managed Vector DB.
|
| RagVectorDbConfig.RagManagedDb.Builder |
The config for the default RAG-managed Vector DB.
|
| RagVectorDbConfig.VertexVectorSearch |
The config for the Vertex Vector Search.
|
| RagVectorDbConfig.VertexVectorSearch.Builder |
The config for the Vertex Vector Search.
|
| RawPredictRequest |
Request message for
[PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
|
| RawPredictRequest.Builder |
Request message for
[PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
|
| RayLogsSpec |
Configuration for the Ray OSS Logs.
|
| RayLogsSpec.Builder |
Configuration for the Ray OSS Logs.
|
| RayMetricSpec |
Configuration for the Ray metrics.
|
| RayMetricSpec.Builder |
Configuration for the Ray metrics.
|
| RaySpec |
Configuration information for the Ray cluster.
|
| RaySpec.Builder |
Configuration information for the Ray cluster.
|
| ReadFeatureValuesRequest |
Request message for
[FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
|
| ReadFeatureValuesRequest.Builder |
Request message for
[FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
|
| ReadFeatureValuesResponse |
Response message for
[FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
|
| ReadFeatureValuesResponse.Builder |
Response message for
[FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
|
| ReadFeatureValuesResponse.EntityView |
Entity view with Feature values.
|
| ReadFeatureValuesResponse.EntityView.Builder |
Entity view with Feature values.
|
| ReadFeatureValuesResponse.EntityView.Data |
Container to hold value(s), successive in time, for one Feature from the
request.
|
| ReadFeatureValuesResponse.EntityView.Data.Builder |
Container to hold value(s), successive in time, for one Feature from the
request.
|
| ReadFeatureValuesResponse.FeatureDescriptor |
Metadata for requested Features.
|
| ReadFeatureValuesResponse.FeatureDescriptor.Builder |
Metadata for requested Features.
|
| ReadFeatureValuesResponse.Header |
Response header with metadata for the requested
[ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type]
and Features.
|
| ReadFeatureValuesResponse.Header.Builder |
Response header with metadata for the requested
[ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type]
and Features.
|
| ReadIndexDatapointsRequest |
The request message for
[MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints].
|
| ReadIndexDatapointsRequest.Builder |
The request message for
[MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints].
|
| ReadIndexDatapointsResponse |
The response message for
[MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints].
|
| ReadIndexDatapointsResponse.Builder |
The response message for
[MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints].
|
| ReadTensorboardBlobDataRequest |
Request message for
[TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
|
| ReadTensorboardBlobDataRequest.Builder |
Request message for
[TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
|
| ReadTensorboardBlobDataResponse |
Response message for
[TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
|
| ReadTensorboardBlobDataResponse.Builder |
Response message for
[TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardBlobData].
|
| ReadTensorboardSizeRequest |
Request message for
[TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardSize].
|
| ReadTensorboardSizeRequest.Builder |
Request message for
[TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardSize].
|
| ReadTensorboardSizeResponse |
Response message for
[TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardSize].
|
| ReadTensorboardSizeResponse.Builder |
Response message for
[TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardSize].
|
| ReadTensorboardTimeSeriesDataRequest |
Request message for
[TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
|
| ReadTensorboardTimeSeriesDataRequest.Builder |
Request message for
[TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
|
| ReadTensorboardTimeSeriesDataResponse |
Response message for
[TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
|
| ReadTensorboardTimeSeriesDataResponse.Builder |
Response message for
[TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardTimeSeriesData].
|
| ReadTensorboardUsageRequest |
Request message for
[TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage].
|
| ReadTensorboardUsageRequest.Builder |
Request message for
[TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage].
|
| ReadTensorboardUsageResponse |
Response message for
[TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage].
|
| ReadTensorboardUsageResponse.Builder |
Response message for
[TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage].
|
| ReadTensorboardUsageResponse.PerMonthUsageData |
Per month usage data
Protobuf type
google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData |
| ReadTensorboardUsageResponse.PerMonthUsageData.Builder |
Per month usage data
Protobuf type
google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData |
| ReadTensorboardUsageResponse.PerUserUsageData |
Per user usage data.
|
| ReadTensorboardUsageResponse.PerUserUsageData.Builder |
Per user usage data.
|
| ReasoningEngine |
ReasoningEngine provides a customizable runtime for models to determine
which actions to take and in which order.
|
| ReasoningEngine.Builder |
ReasoningEngine provides a customizable runtime for models to determine
which actions to take and in which order.
|
| ReasoningEngineExecutionServiceProto | |
| ReasoningEngineName | |
| ReasoningEngineName.Builder |
Builder for projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}.
|
| ReasoningEngineProto | |
| ReasoningEngineServiceProto | |
| ReasoningEngineSpec |
ReasoningEngine configurations
Protobuf type
google.cloud.aiplatform.v1.ReasoningEngineSpec |
| ReasoningEngineSpec.Builder |
ReasoningEngine configurations
Protobuf type
google.cloud.aiplatform.v1.ReasoningEngineSpec |
| ReasoningEngineSpec.DeploymentSpec |
The specification of a Reasoning Engine deployment.
|
| ReasoningEngineSpec.DeploymentSpec.Builder |
The specification of a Reasoning Engine deployment.
|
| ReasoningEngineSpec.PackageSpec |
User provided package spec like pickled object and package requirements.
|
| ReasoningEngineSpec.PackageSpec.Builder |
User provided package spec like pickled object and package requirements.
|
| RebaseTunedModelOperationMetadata |
Runtime operation information for
[GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1.GenAiTuningService.RebaseTunedModel].
|
| RebaseTunedModelOperationMetadata.Builder |
Runtime operation information for
[GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1.GenAiTuningService.RebaseTunedModel].
|
| RebaseTunedModelRequest |
Request message for
[GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1.GenAiTuningService.RebaseTunedModel].
|
| RebaseTunedModelRequest.Builder |
Request message for
[GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1.GenAiTuningService.RebaseTunedModel].
|
| RebootPersistentResourceOperationMetadata |
Details of operations that perform reboot PersistentResource.
|
| RebootPersistentResourceOperationMetadata.Builder |
Details of operations that perform reboot PersistentResource.
|
| RebootPersistentResourceRequest |
Request message for
[PersistentResourceService.RebootPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.RebootPersistentResource].
|
| RebootPersistentResourceRequest.Builder |
Request message for
[PersistentResourceService.RebootPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.RebootPersistentResource].
|
| RemoveContextChildrenRequest |
Request message for
[MetadataService.DeleteContextChildrenRequest][].
|
| RemoveContextChildrenRequest.Builder |
Request message for
[MetadataService.DeleteContextChildrenRequest][].
|
| RemoveContextChildrenResponse |
Response message for
[MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
|
| RemoveContextChildrenResponse.Builder |
Response message for
[MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren].
|
| RemoveDatapointsRequest |
Request message for
[IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
Protobuf type
google.cloud.aiplatform.v1.RemoveDatapointsRequest |
| RemoveDatapointsRequest.Builder |
Request message for
[IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
Protobuf type
google.cloud.aiplatform.v1.RemoveDatapointsRequest |
| RemoveDatapointsResponse |
Response message for
[IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
Protobuf type
google.cloud.aiplatform.v1.RemoveDatapointsResponse |
| RemoveDatapointsResponse.Builder |
Response message for
[IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints]
Protobuf type
google.cloud.aiplatform.v1.RemoveDatapointsResponse |
| 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.
|
| 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.
|
| ReservationAffinityProto | |
| ResourcePool |
Represents the spec of a group of resources of the same type,
for example machine type, disk, and accelerators, in a PersistentResource.
|
| ResourcePool.AutoscalingSpec |
The min/max number of replicas allowed if enabling autoscaling
Protobuf type
google.cloud.aiplatform.v1.ResourcePool.AutoscalingSpec |
| ResourcePool.AutoscalingSpec.Builder |
The min/max number of replicas allowed if enabling autoscaling
Protobuf type
google.cloud.aiplatform.v1.ResourcePool.AutoscalingSpec |
| ResourcePool.Builder |
Represents the spec of a group of resources of the same type,
for example machine type, disk, and accelerators, in a PersistentResource.
|
| ResourceRuntime |
Persistent Cluster runtime information as output
Protobuf type
google.cloud.aiplatform.v1.ResourceRuntime |
| ResourceRuntime.Builder |
Persistent Cluster runtime information as output
Protobuf type
google.cloud.aiplatform.v1.ResourceRuntime |
| ResourceRuntimeSpec |
Configuration for the runtime on a PersistentResource instance, including
but not limited to:
* Service accounts used to run the workloads
|
| ResourceRuntimeSpec.Builder |
Configuration for the runtime on a PersistentResource instance, including
but not limited to:
* Service accounts used to run the workloads
|
| ResourcesConsumed |
Statistics information about resource consumption.
|
| ResourcesConsumed.Builder |
Statistics information about resource consumption.
|
| RestoreDatasetVersionOperationMetadata |
Runtime operation information for
[DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion].
|
| RestoreDatasetVersionOperationMetadata.Builder |
Runtime operation information for
[DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion].
|
| RestoreDatasetVersionRequest |
Request message for
[DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion].
|
| RestoreDatasetVersionRequest.Builder |
Request message for
[DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion].
|
| ResumeModelDeploymentMonitoringJobRequest |
Request message for
[JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob].
|
| ResumeModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob].
|
| ResumeScheduleRequest |
Request message for
[ScheduleService.ResumeSchedule][google.cloud.aiplatform.v1.ScheduleService.ResumeSchedule].
|
| ResumeScheduleRequest.Builder |
Request message for
[ScheduleService.ResumeSchedule][google.cloud.aiplatform.v1.ScheduleService.ResumeSchedule].
|
| Retrieval |
Defines a retrieval tool that model can call to access external knowledge.
|
| Retrieval.Builder |
Defines a retrieval tool that model can call to access external knowledge.
|
| RetrievalConfig |
Retrieval config.
|
| RetrievalConfig.Builder |
Retrieval config.
|
| RetrievalMetadata |
Metadata related to retrieval in the grounding flow.
|
| RetrievalMetadata.Builder |
Metadata related to retrieval in the grounding flow.
|
| RetrieveContextsRequest |
Request message for
[VertexRagService.RetrieveContexts][google.cloud.aiplatform.v1.VertexRagService.RetrieveContexts].
|
| RetrieveContextsRequest.Builder |
Request message for
[VertexRagService.RetrieveContexts][google.cloud.aiplatform.v1.VertexRagService.RetrieveContexts].
|
| RetrieveContextsRequest.VertexRagStore |
The data source for Vertex RagStore.
|
| RetrieveContextsRequest.VertexRagStore.Builder |
The data source for Vertex RagStore.
|
| RetrieveContextsRequest.VertexRagStore.RagResource |
The definition of the Rag resource.
|
| RetrieveContextsRequest.VertexRagStore.RagResource.Builder |
The definition of the Rag resource.
|
| RetrieveContextsResponse |
Response message for
[VertexRagService.RetrieveContexts][google.cloud.aiplatform.v1.VertexRagService.RetrieveContexts].
|
| RetrieveContextsResponse.Builder |
Response message for
[VertexRagService.RetrieveContexts][google.cloud.aiplatform.v1.VertexRagService.RetrieveContexts].
|
| RougeInput |
Input for rouge metric.
|
| RougeInput.Builder |
Input for rouge metric.
|
| RougeInstance |
Spec for rouge instance.
|
| RougeInstance.Builder |
Spec for rouge instance.
|
| RougeMetricValue |
Rouge metric value for an instance.
|
| RougeMetricValue.Builder |
Rouge metric value for an instance.
|
| RougeResults |
Results for rouge metric.
|
| RougeResults.Builder |
Results for rouge metric.
|
| 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.
|
| 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.
|
| SafetyInput |
Input for safety metric.
|
| SafetyInput.Builder |
Input for safety metric.
|
| SafetyInstance |
Spec for safety instance.
|
| SafetyInstance.Builder |
Spec for safety instance.
|
| SafetyRating |
Safety rating corresponding to the generated content.
|
| SafetyRating.Builder |
Safety rating corresponding to the generated content.
|
| SafetyResult |
Spec for safety result.
|
| SafetyResult.Builder |
Spec for safety result.
|
| SafetySetting |
Safety settings.
|
| SafetySetting.Builder |
Safety settings.
|
| SafetySpec |
Spec for safety metric.
|
| SafetySpec.Builder |
Spec for safety metric.
|
| SampleConfig |
Active learning data sampling config.
|
| SampleConfig.Builder |
Active learning data sampling config.
|
| SampledShapleyAttribution |
An attribution method that approximates Shapley values for features that
contribute to the label being predicted.
|
| SampledShapleyAttribution.Builder |
An attribution method that approximates Shapley values for features that
contribute to the label being predicted.
|
| SamplingStrategy |
Sampling Strategy for logging, can be for both training and prediction
dataset.
|
| SamplingStrategy.Builder |
Sampling Strategy for logging, can be for both training and prediction
dataset.
|
| SamplingStrategy.RandomSampleConfig |
Requests are randomly selected.
|
| SamplingStrategy.RandomSampleConfig.Builder |
Requests are randomly selected.
|
| SavedQuery |
A SavedQuery is a view of the dataset.
|
| SavedQuery.Builder |
A SavedQuery is a view of the dataset.
|
| SavedQueryName | |
| SavedQueryName.Builder |
Builder for
projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}.
|
| SavedQueryProto | |
| Scalar |
One point viewable on a scalar metric plot.
|
| Scalar.Builder |
One point viewable on a scalar metric plot.
|
| Schedule |
An instance of a Schedule periodically schedules runs to make API calls based
on user specified time specification and API request type.
|
| Schedule.Builder |
An instance of a Schedule periodically schedules runs to make API calls based
on user specified time specification and API request type.
|
| Schedule.RunResponse |
Status of a scheduled run.
|
| Schedule.RunResponse.Builder |
Status of a scheduled run.
|
| ScheduleName | |
| ScheduleName.Builder |
Builder for projects/{project}/locations/{location}/schedules/{schedule}.
|
| ScheduleProto | |
| ScheduleServiceProto | |
| Scheduling |
All parameters related to queuing and scheduling of custom jobs.
|
| Scheduling.Builder |
All parameters related to queuing and scheduling of custom jobs.
|
| Schema |
Schema is used to define the format of input/output data.
|
| Schema.Builder |
Schema is used to define the format of input/output data.
|
| SearchDataItemsRequest |
Request message for
[DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
|
| SearchDataItemsRequest.Builder |
Request message for
[DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
|
| SearchDataItemsRequest.OrderByAnnotation |
Expression that allows ranking results based on annotation's property.
|
| SearchDataItemsRequest.OrderByAnnotation.Builder |
Expression that allows ranking results based on annotation's property.
|
| SearchDataItemsResponse |
Response message for
[DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
|
| SearchDataItemsResponse.Builder |
Response message for
[DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
|
| SearchEntryPoint |
Google search entry point.
|
| SearchEntryPoint.Builder |
Google search entry point.
|
| SearchFeaturesRequest |
Request message for
[FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
|
| SearchFeaturesRequest.Builder |
Request message for
[FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
|
| SearchFeaturesResponse |
Response message for
[FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
|
| SearchFeaturesResponse.Builder |
Response message for
[FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
|
| SearchMigratableResourcesRequest |
Request message for
[MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
|
| SearchMigratableResourcesRequest.Builder |
Request message for
[MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
|
| SearchMigratableResourcesResponse |
Response message for
[MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
|
| SearchMigratableResourcesResponse.Builder |
Response message for
[MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
|
| SearchModelDeploymentMonitoringStatsAnomaliesRequest |
Request message for
[JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
|
| SearchModelDeploymentMonitoringStatsAnomaliesRequest.Builder |
Request message for
[JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
|
| SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective |
Stats requested for specific objective.
|
| SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.Builder |
Stats requested for specific objective.
|
| SearchModelDeploymentMonitoringStatsAnomaliesResponse |
Response message for
[JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
|
| SearchModelDeploymentMonitoringStatsAnomaliesResponse.Builder |
Response message for
[JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
|
| SearchNearestEntitiesRequest |
The request message for
[FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities].
|
| SearchNearestEntitiesRequest.Builder |
The request message for
[FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities].
|
| SearchNearestEntitiesResponse |
Response message for
[FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities]
Protobuf type
google.cloud.aiplatform.v1.SearchNearestEntitiesResponse |
| SearchNearestEntitiesResponse.Builder |
Response message for
[FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities]
Protobuf type
google.cloud.aiplatform.v1.SearchNearestEntitiesResponse |
| SecretEnvVar |
Represents an environment variable where the value is a secret in Cloud
Secret Manager.
|
| SecretEnvVar.Builder |
Represents an environment variable where the value is a secret in Cloud
Secret Manager.
|
| SecretRef |
Reference to a secret stored in the Cloud Secret Manager that will
provide the value for this environment variable.
|
| SecretRef.Builder |
Reference to a secret stored in the Cloud Secret Manager that will
provide the value for this environment variable.
|
| Segment |
Segment of the content.
|
| Segment.Builder |
Segment of the content.
|
| ServiceAccountSpec |
Configuration for the use of custom service account to run the workloads.
|
| ServiceAccountSpec.Builder |
Configuration for the use of custom service account to run the workloads.
|
| ServiceNetworkingProto | |
| SharePointSources |
The SharePointSources to pass to ImportRagFiles.
|
| SharePointSources.Builder |
The SharePointSources to pass to ImportRagFiles.
|
| SharePointSources.SharePointSource |
An individual SharePointSource.
|
| SharePointSources.SharePointSource.Builder |
An individual SharePointSource.
|
| ShieldedVmConfig |
A set of Shielded Instance options.
|
| ShieldedVmConfig.Builder |
A set of Shielded Instance options.
|
| SlackSource |
The Slack source for the ImportRagFilesRequest.
|
| SlackSource.Builder |
The Slack source for the ImportRagFilesRequest.
|
| SlackSource.SlackChannels |
SlackChannels contains the Slack channels and corresponding access token.
|
| SlackSource.SlackChannels.Builder |
SlackChannels contains the Slack channels and corresponding access token.
|
| SlackSource.SlackChannels.SlackChannel |
SlackChannel contains the Slack channel ID and the time range to import.
|
| SlackSource.SlackChannels.SlackChannel.Builder |
SlackChannel contains the Slack channel ID and the time range to import.
|
| SmoothGradConfig |
Config for SmoothGrad approximation of gradients.
|
| SmoothGradConfig.Builder |
Config for SmoothGrad approximation of gradients.
|
| SpecialistPool |
SpecialistPool represents customers' own workforce to work on their data
labeling jobs.
|
| SpecialistPool.Builder |
SpecialistPool represents customers' own workforce to work on their data
labeling jobs.
|
| SpecialistPoolName | |
| SpecialistPoolName.Builder |
Builder for projects/{project}/locations/{location}/specialistPools/{specialist_pool}.
|
| SpecialistPoolProto | |
| SpecialistPoolServiceProto | |
| SpeculativeDecodingSpec |
Configuration for Speculative Decoding.
|
| SpeculativeDecodingSpec.Builder |
Configuration for Speculative Decoding.
|
| SpeculativeDecodingSpec.DraftModelSpeculation |
Draft model speculation works by using the smaller model to generate
candidate tokens for speculative decoding.
|
| SpeculativeDecodingSpec.DraftModelSpeculation.Builder |
Draft model speculation works by using the smaller model to generate
candidate tokens for speculative decoding.
|
| 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.
|
| 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.
|
| StartNotebookRuntimeOperationMetadata |
Metadata information for
[NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime].
|
| StartNotebookRuntimeOperationMetadata.Builder |
Metadata information for
[NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime].
|
| StartNotebookRuntimeRequest |
Request message for
[NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime].
|
| StartNotebookRuntimeRequest.Builder |
Request message for
[NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime].
|
| StartNotebookRuntimeResponse |
Response message for
[NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime].
|
| StartNotebookRuntimeResponse.Builder |
Response message for
[NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime].
|
| StopNotebookRuntimeOperationMetadata |
Metadata information for
[NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime].
|
| StopNotebookRuntimeOperationMetadata.Builder |
Metadata information for
[NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime].
|
| StopNotebookRuntimeRequest |
Request message for
[NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime].
|
| StopNotebookRuntimeRequest.Builder |
Request message for
[NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime].
|
| StopNotebookRuntimeResponse |
Response message for
[NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime].
|
| StopNotebookRuntimeResponse.Builder |
Response message for
[NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime].
|
| StopTrialRequest |
Request message for
[VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
|
| StopTrialRequest.Builder |
Request message for
[VizierService.StopTrial][google.cloud.aiplatform.v1.VizierService.StopTrial].
|
| StratifiedSplit |
Assigns input data to the training, validation, and test sets so that the
distribution of values found in the categorical column (as specified by the
`key` field) is mirrored within each split.
|
| 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
`key` field) is mirrored within each split.
|
| StreamDirectPredictRequest |
Request message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectPredictRequest.Builder |
Request message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectPredictResponse |
Response message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectPredictResponse.Builder |
Response message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectRawPredictRequest |
Request message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamDirectRawPredictRequest.Builder |
Request message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamDirectRawPredictResponse |
Response message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamDirectRawPredictResponse.Builder |
Response message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamingPredictRequest |
Request message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingPredictRequest.Builder |
Request message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingPredictResponse |
Response message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingPredictResponse.Builder |
Response message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingRawPredictRequest |
Request message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingRawPredictRequest.Builder |
Request message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingRawPredictResponse |
Response message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingRawPredictResponse.Builder |
Response message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingReadFeatureValuesRequest |
Request message for
[FeaturestoreOnlineServingService.StreamingReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.StreamingReadFeatureValues].
|
| StreamingReadFeatureValuesRequest.Builder |
Request message for
[FeaturestoreOnlineServingService.StreamingReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.StreamingReadFeatureValues].
|
| StreamQueryReasoningEngineRequest |
Request message for [ReasoningEngineExecutionService.StreamQuery][].
|
| StreamQueryReasoningEngineRequest.Builder |
Request message for [ReasoningEngineExecutionService.StreamQuery][].
|
| StreamRawPredictRequest |
Request message for
[PredictionService.StreamRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamRawPredict].
|
| StreamRawPredictRequest.Builder |
Request message for
[PredictionService.StreamRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamRawPredict].
|
| StringArray |
A list of string values.
|
| StringArray.Builder |
A list of string values.
|
| StructFieldValue |
One field of a Struct (or object) type feature value.
|
| StructFieldValue.Builder |
One field of a Struct (or object) type feature value.
|
| StructValue |
Struct (or object) type feature value.
|
| StructValue.Builder |
Struct (or object) type feature value.
|
| Study |
A message representing a Study.
|
| Study.Builder |
A message representing a Study.
|
| StudyName | |
| StudyName.Builder |
Builder for projects/{project}/locations/{location}/studies/{study}.
|
| StudyProto | |
| StudySpec |
Represents specification of a Study.
|
| StudySpec.Builder |
Represents specification of a Study.
|
| StudySpec.ConvexAutomatedStoppingSpec |
Configuration for ConvexAutomatedStoppingSpec.
|
| StudySpec.ConvexAutomatedStoppingSpec.Builder |
Configuration for ConvexAutomatedStoppingSpec.
|
| 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
Trial.
|
| 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
Trial.
|
| 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.
|
| 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.
|
| StudySpec.MetricSpec |
Represents a metric to optimize.
|
| StudySpec.MetricSpec.Builder |
Represents a metric to optimize.
|
| StudySpec.MetricSpec.SafetyMetricConfig |
Used in safe optimization to specify threshold levels and risk tolerance.
|
| StudySpec.MetricSpec.SafetyMetricConfig.Builder |
Used in safe optimization to specify threshold levels and risk tolerance.
|
| StudySpec.ParameterSpec |
Represents a single parameter to optimize.
|
| StudySpec.ParameterSpec.Builder |
Represents a single parameter to optimize.
|
| StudySpec.ParameterSpec.CategoricalValueSpec |
Value specification for a parameter in `CATEGORICAL` type.
|
| StudySpec.ParameterSpec.CategoricalValueSpec.Builder |
Value specification for a parameter in `CATEGORICAL` type.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec |
Represents a parameter spec with condition from its parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.Builder |
Represents a parameter spec with condition from its parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition |
Represents the spec to match categorical values from parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.Builder |
Represents the spec to match categorical values from parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition |
Represents the spec to match discrete values from parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.Builder |
Represents the spec to match discrete values from parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition |
Represents the spec to match integer values from parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.Builder |
Represents the spec to match integer values from parent parameter.
|
| StudySpec.ParameterSpec.DiscreteValueSpec |
Value specification for a parameter in `DISCRETE` type.
|
| StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
Value specification for a parameter in `DISCRETE` type.
|
| StudySpec.ParameterSpec.DoubleValueSpec |
Value specification for a parameter in `DOUBLE` type.
|
| StudySpec.ParameterSpec.DoubleValueSpec.Builder |
Value specification for a parameter in `DOUBLE` type.
|
| StudySpec.ParameterSpec.IntegerValueSpec |
Value specification for a parameter in `INTEGER` type.
|
| StudySpec.ParameterSpec.IntegerValueSpec.Builder |
Value specification for a parameter in `INTEGER` type.
|
| StudySpec.StudyStoppingConfig |
The configuration (stopping conditions) for automated stopping of a Study.
|
| StudySpec.StudyStoppingConfig.Builder |
The configuration (stopping conditions) for automated stopping of a Study.
|
| StudyTimeConstraint |
Time-based Constraint for Study
Protobuf type
google.cloud.aiplatform.v1.StudyTimeConstraint |
| StudyTimeConstraint.Builder |
Time-based Constraint for Study
Protobuf type
google.cloud.aiplatform.v1.StudyTimeConstraint |
| SuggestTrialsMetadata |
Details of operations that perform Trials suggestion.
|
| SuggestTrialsMetadata.Builder |
Details of operations that perform Trials suggestion.
|
| SuggestTrialsRequest |
Request message for
[VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
|
| SuggestTrialsRequest.Builder |
Request message for
[VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
|
| SuggestTrialsResponse |
Response message for
[VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
|
| SuggestTrialsResponse.Builder |
Response message for
[VizierService.SuggestTrials][google.cloud.aiplatform.v1.VizierService.SuggestTrials].
|
| SummarizationHelpfulnessInput |
Input for summarization helpfulness metric.
|
| SummarizationHelpfulnessInput.Builder |
Input for summarization helpfulness metric.
|
| SummarizationHelpfulnessInstance |
Spec for summarization helpfulness instance.
|
| SummarizationHelpfulnessInstance.Builder |
Spec for summarization helpfulness instance.
|
| SummarizationHelpfulnessResult |
Spec for summarization helpfulness result.
|
| SummarizationHelpfulnessResult.Builder |
Spec for summarization helpfulness result.
|
| SummarizationHelpfulnessSpec |
Spec for summarization helpfulness score metric.
|
| SummarizationHelpfulnessSpec.Builder |
Spec for summarization helpfulness score metric.
|
| SummarizationQualityInput |
Input for summarization quality metric.
|
| SummarizationQualityInput.Builder |
Input for summarization quality metric.
|
| SummarizationQualityInstance |
Spec for summarization quality instance.
|
| SummarizationQualityInstance.Builder |
Spec for summarization quality instance.
|
| SummarizationQualityResult |
Spec for summarization quality result.
|
| SummarizationQualityResult.Builder |
Spec for summarization quality result.
|
| SummarizationQualitySpec |
Spec for summarization quality score metric.
|
| SummarizationQualitySpec.Builder |
Spec for summarization quality score metric.
|
| SummarizationVerbosityInput |
Input for summarization verbosity metric.
|
| SummarizationVerbosityInput.Builder |
Input for summarization verbosity metric.
|
| SummarizationVerbosityInstance |
Spec for summarization verbosity instance.
|
| SummarizationVerbosityInstance.Builder |
Spec for summarization verbosity instance.
|
| SummarizationVerbosityResult |
Spec for summarization verbosity result.
|
| SummarizationVerbosityResult.Builder |
Spec for summarization verbosity result.
|
| SummarizationVerbositySpec |
Spec for summarization verbosity score metric.
|
| SummarizationVerbositySpec.Builder |
Spec for summarization verbosity score metric.
|
| SupervisedHyperParameters |
Hyperparameters for SFT.
|
| SupervisedHyperParameters.Builder |
Hyperparameters for SFT.
|
| SupervisedTuningDatasetDistribution |
Dataset distribution for Supervised Tuning.
|
| SupervisedTuningDatasetDistribution.Builder |
Dataset distribution for Supervised Tuning.
|
| SupervisedTuningDatasetDistribution.DatasetBucket |
Dataset bucket used to create a histogram for the distribution given a
population of values.
|
| SupervisedTuningDatasetDistribution.DatasetBucket.Builder |
Dataset bucket used to create a histogram for the distribution given a
population of values.
|
| SupervisedTuningDataStats |
Tuning data statistics for Supervised Tuning.
|
| SupervisedTuningDataStats.Builder |
Tuning data statistics for Supervised Tuning.
|
| SupervisedTuningSpec |
Tuning Spec for Supervised Tuning for first party models.
|
| SupervisedTuningSpec.Builder |
Tuning Spec for Supervised Tuning for first party models.
|
| SyncFeatureViewRequest |
Request message for
[FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView].
|
| SyncFeatureViewRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView].
|
| SyncFeatureViewResponse |
Response message for
[FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView].
|
| SyncFeatureViewResponse.Builder |
Response message for
[FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView].
|
| Tensor |
A tensor value type.
|
| Tensor.Builder |
A tensor value type.
|
| Tensorboard |
Tensorboard is a physical database that stores users' training metrics.
|
| Tensorboard.Builder |
Tensorboard is a physical database that stores users' training metrics.
|
| TensorboardBlob |
One blob (e.g, image, graph) viewable on a blob metric plot.
|
| TensorboardBlob.Builder |
One blob (e.g, image, graph) viewable on a blob metric plot.
|
| TensorboardBlobSequence |
One point viewable on a blob metric plot, but mostly just a wrapper message
to work around repeated fields can't be used directly within `oneof` fields.
|
| 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 `oneof` fields.
|
| TensorboardDataProto | |
| TensorboardExperiment |
A TensorboardExperiment is a group of TensorboardRuns, that are typically the
results of a training job run, in a Tensorboard.
|
| TensorboardExperiment.Builder |
A TensorboardExperiment is a group of TensorboardRuns, that are typically the
results of a training job run, in a Tensorboard.
|
| TensorboardExperimentName | |
| TensorboardExperimentName.Builder |
Builder for
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}.
|
| TensorboardExperimentProto | |
| TensorboardName | |
| TensorboardName.Builder |
Builder for projects/{project}/locations/{location}/tensorboards/{tensorboard}.
|
| TensorboardProto | |
| TensorboardRun |
TensorboardRun maps to a specific execution of a training job with a given
set of hyperparameter values, model definition, dataset, etc
Protobuf type
google.cloud.aiplatform.v1.TensorboardRun |
| TensorboardRun.Builder |
TensorboardRun maps to a specific execution of a training job with a given
set of hyperparameter values, model definition, dataset, etc
Protobuf type
google.cloud.aiplatform.v1.TensorboardRun |
| TensorboardRunName | |
| TensorboardRunName.Builder |
Builder for
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}.
|
| TensorboardRunProto | |
| TensorboardServiceProto | |
| TensorboardTensor |
One point viewable on a tensor metric plot.
|
| TensorboardTensor.Builder |
One point viewable on a tensor metric plot.
|
| TensorboardTimeSeries |
TensorboardTimeSeries maps to times series produced in training runs
Protobuf type
google.cloud.aiplatform.v1.TensorboardTimeSeries |
| TensorboardTimeSeries.Builder |
TensorboardTimeSeries maps to times series produced in training runs
Protobuf type
google.cloud.aiplatform.v1.TensorboardTimeSeries |
| TensorboardTimeSeries.Metadata |
Describes metadata for a TensorboardTimeSeries.
|
| TensorboardTimeSeries.Metadata.Builder |
Describes metadata for a TensorboardTimeSeries.
|
| TensorboardTimeSeriesName | |
| TensorboardTimeSeriesName.Builder |
Builder for
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}.
|
| TensorboardTimeSeriesProto | |
| TFRecordDestination |
The storage details for TFRecord output content.
|
| TFRecordDestination.Builder |
The storage details for TFRecord output content.
|
| ThresholdConfig |
The config for feature monitoring threshold.
|
| ThresholdConfig.Builder |
The config for feature monitoring threshold.
|
| TimeSeriesData |
All the data stored in a TensorboardTimeSeries.
|
| TimeSeriesData.Builder |
All the data stored in a TensorboardTimeSeries.
|
| TimeSeriesDataPoint |
A TensorboardTimeSeries data point.
|
| TimeSeriesDataPoint.Builder |
A TensorboardTimeSeries data point.
|
| TimestampSplit |
Assigns input data to training, validation, and test sets based on a
provided timestamps.
|
| TimestampSplit.Builder |
Assigns input data to training, validation, and test sets based on a
provided timestamps.
|
| TokensInfo |
Tokens info with a list of tokens and the corresponding list of token ids.
|
| TokensInfo.Builder |
Tokens info with a list of tokens and the corresponding list of token ids.
|
| Tool |
Tool details that the model may use to generate response.
|
| Tool.Builder |
Tool details that the model may use to generate response.
|
| Tool.CodeExecution |
Tool that executes code generated by the model, and automatically returns
the result to the model.
|
| Tool.CodeExecution.Builder |
Tool that executes code generated by the model, and automatically returns
the result to the model.
|
| Tool.GoogleSearch |
GoogleSearch tool type.
|
| Tool.GoogleSearch.Builder |
GoogleSearch tool type.
|
| ToolCallValidInput |
Input for tool call valid metric.
|
| ToolCallValidInput.Builder |
Input for tool call valid metric.
|
| ToolCallValidInstance |
Spec for tool call valid instance.
|
| ToolCallValidInstance.Builder |
Spec for tool call valid instance.
|
| ToolCallValidMetricValue |
Tool call valid metric value for an instance.
|
| ToolCallValidMetricValue.Builder |
Tool call valid metric value for an instance.
|
| ToolCallValidResults |
Results for tool call valid metric.
|
| ToolCallValidResults.Builder |
Results for tool call valid metric.
|
| ToolCallValidSpec |
Spec for tool call valid metric.
|
| ToolCallValidSpec.Builder |
Spec for tool call valid metric.
|
| ToolConfig |
Tool config.
|
| ToolConfig.Builder |
Tool config.
|
| ToolNameMatchInput |
Input for tool name match metric.
|
| ToolNameMatchInput.Builder |
Input for tool name match metric.
|
| ToolNameMatchInstance |
Spec for tool name match instance.
|
| ToolNameMatchInstance.Builder |
Spec for tool name match instance.
|
| ToolNameMatchMetricValue |
Tool name match metric value for an instance.
|
| ToolNameMatchMetricValue.Builder |
Tool name match metric value for an instance.
|
| ToolNameMatchResults |
Results for tool name match metric.
|
| ToolNameMatchResults.Builder |
Results for tool name match metric.
|
| ToolNameMatchSpec |
Spec for tool name match metric.
|
| ToolNameMatchSpec.Builder |
Spec for tool name match metric.
|
| ToolParameterKeyMatchInput |
Input for tool parameter key match metric.
|
| ToolParameterKeyMatchInput.Builder |
Input for tool parameter key match metric.
|
| ToolParameterKeyMatchInstance |
Spec for tool parameter key match instance.
|
| ToolParameterKeyMatchInstance.Builder |
Spec for tool parameter key match instance.
|
| ToolParameterKeyMatchMetricValue |
Tool parameter key match metric value for an instance.
|
| ToolParameterKeyMatchMetricValue.Builder |
Tool parameter key match metric value for an instance.
|
| ToolParameterKeyMatchResults |
Results for tool parameter key match metric.
|
| ToolParameterKeyMatchResults.Builder |
Results for tool parameter key match metric.
|
| ToolParameterKeyMatchSpec |
Spec for tool parameter key match metric.
|
| ToolParameterKeyMatchSpec.Builder |
Spec for tool parameter key match metric.
|
| ToolParameterKVMatchInput |
Input for tool parameter key value match metric.
|
| ToolParameterKVMatchInput.Builder |
Input for tool parameter key value match metric.
|
| ToolParameterKVMatchInstance |
Spec for tool parameter key value match instance.
|
| ToolParameterKVMatchInstance.Builder |
Spec for tool parameter key value match instance.
|
| ToolParameterKVMatchMetricValue |
Tool parameter key value match metric value for an instance.
|
| ToolParameterKVMatchMetricValue.Builder |
Tool parameter key value match metric value for an instance.
|
| ToolParameterKVMatchResults |
Results for tool parameter key value match metric.
|
| ToolParameterKVMatchResults.Builder |
Results for tool parameter key value match metric.
|
| ToolParameterKVMatchSpec |
Spec for tool parameter key value match metric.
|
| ToolParameterKVMatchSpec.Builder |
Spec for tool parameter key value match metric.
|
| ToolProto | |
| TrainingConfig |
CMLE training config.
|
| TrainingConfig.Builder |
CMLE training config.
|
| TrainingPipeline |
The TrainingPipeline orchestrates tasks associated with training a Model.
|
| TrainingPipeline.Builder |
The TrainingPipeline orchestrates tasks associated with training a Model.
|
| TrainingPipelineName | |
| TrainingPipelineName.Builder |
Builder for projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}.
|
| TrainingPipelineProto | |
| Trial |
A message representing a Trial.
|
| Trial.Builder |
A message representing a Trial.
|
| Trial.Parameter |
A message representing a parameter to be tuned.
|
| Trial.Parameter.Builder |
A message representing a parameter to be tuned.
|
| TrialContext |
Protobuf type
google.cloud.aiplatform.v1.TrialContext |
| TrialContext.Builder |
Protobuf type
google.cloud.aiplatform.v1.TrialContext |
| TrialName | |
| TrialName.Builder |
Builder for projects/{project}/locations/{location}/studies/{study}/trials/{trial}.
|
| TunedModel |
The Model Registry Model and Online Prediction Endpoint assiociated with
this [TuningJob][google.cloud.aiplatform.v1.TuningJob].
|
| TunedModel.Builder |
The Model Registry Model and Online Prediction Endpoint assiociated with
this [TuningJob][google.cloud.aiplatform.v1.TuningJob].
|
| TunedModelRef |
TunedModel Reference for legacy model migration.
|
| TunedModelRef.Builder |
TunedModel Reference for legacy model migration.
|
| TuningDataStats |
The tuning data statistic values for
[TuningJob][google.cloud.aiplatform.v1.TuningJob].
|
| TuningDataStats.Builder |
The tuning data statistic values for
[TuningJob][google.cloud.aiplatform.v1.TuningJob].
|
| TuningJob |
Represents a TuningJob that runs with Google owned models.
|
| TuningJob.Builder |
Represents a TuningJob that runs with Google owned models.
|
| TuningJobName | |
| TuningJobName.Builder |
Builder for projects/{project}/locations/{location}/tuningJobs/{tuning_job}.
|
| TuningJobProto | |
| TypesProto | |
| UndeployIndexOperationMetadata |
Runtime operation information for
[IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployIndexOperationMetadata.Builder |
Runtime operation information for
[IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployIndexRequest |
Request message for
[IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployIndexRequest.Builder |
Request message for
[IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployIndexResponse |
Response message for
[IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployIndexResponse.Builder |
Response message for
[IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployModelOperationMetadata |
Runtime operation information for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelOperationMetadata.Builder |
Runtime operation information for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelRequest |
Request message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelRequest.Builder |
Request message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelResponse |
Response message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelResponse.Builder |
Response message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UnmanagedContainerModel |
Contains model information necessary to perform batch prediction without
requiring a full model import.
|
| UnmanagedContainerModel.Builder |
Contains model information necessary to perform batch prediction without
requiring a full model import.
|
| UnmanagedContainerModelProto | |
| UpdateArtifactRequest |
Request message for
[MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
|
| UpdateArtifactRequest.Builder |
Request message for
[MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact].
|
| UpdateCachedContentRequest |
Request message for
[GenAiCacheService.UpdateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.UpdateCachedContent].
|
| UpdateCachedContentRequest.Builder |
Request message for
[GenAiCacheService.UpdateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.UpdateCachedContent].
|
| UpdateContextRequest |
Request message for
[MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
|
| UpdateContextRequest.Builder |
Request message for
[MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext].
|
| UpdateDatasetRequest |
Request message for
[DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
|
| UpdateDatasetRequest.Builder |
Request message for
[DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
|
| UpdateDatasetVersionRequest |
Request message for
[DatasetService.UpdateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.UpdateDatasetVersion].
|
| UpdateDatasetVersionRequest.Builder |
Request message for
[DatasetService.UpdateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.UpdateDatasetVersion].
|
| UpdateDeploymentResourcePoolOperationMetadata |
Runtime operation information for UpdateDeploymentResourcePool method.
|
| UpdateDeploymentResourcePoolOperationMetadata.Builder |
Runtime operation information for UpdateDeploymentResourcePool method.
|
| UpdateDeploymentResourcePoolRequest |
Request message for UpdateDeploymentResourcePool method.
|
| UpdateDeploymentResourcePoolRequest.Builder |
Request message for UpdateDeploymentResourcePool method.
|
| UpdateEndpointLongRunningRequest |
Request message for
[EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].
|
| UpdateEndpointLongRunningRequest.Builder |
Request message for
[EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].
|
| UpdateEndpointOperationMetadata |
Runtime operation information for
[EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].
|
| UpdateEndpointOperationMetadata.Builder |
Runtime operation information for
[EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning].
|
| UpdateEndpointRequest |
Request message for
[EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
|
| UpdateEndpointRequest.Builder |
Request message for
[EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
|
| UpdateEntityTypeRequest |
Request message for
[FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
|
| UpdateEntityTypeRequest.Builder |
Request message for
[FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
|
| UpdateExecutionRequest |
Request message for
[MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
|
| UpdateExecutionRequest.Builder |
Request message for
[MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution].
|
| UpdateExplanationDatasetOperationMetadata |
Runtime operation information for
[ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset].
|
| UpdateExplanationDatasetOperationMetadata.Builder |
Runtime operation information for
[ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset].
|
| UpdateExplanationDatasetRequest |
Request message for
[ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset].
|
| UpdateExplanationDatasetRequest.Builder |
Request message for
[ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset].
|
| UpdateExplanationDatasetResponse |
Response message of
[ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset]
operation.
|
| UpdateExplanationDatasetResponse.Builder |
Response message of
[ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset]
operation.
|
| UpdateFeatureGroupOperationMetadata |
Details of operations that perform update FeatureGroup.
|
| UpdateFeatureGroupOperationMetadata.Builder |
Details of operations that perform update FeatureGroup.
|
| UpdateFeatureGroupRequest |
Request message for
[FeatureRegistryService.UpdateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeatureGroup].
|
| UpdateFeatureGroupRequest.Builder |
Request message for
[FeatureRegistryService.UpdateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeatureGroup].
|
| UpdateFeatureOnlineStoreOperationMetadata |
Details of operations that perform update FeatureOnlineStore.
|
| UpdateFeatureOnlineStoreOperationMetadata.Builder |
Details of operations that perform update FeatureOnlineStore.
|
| UpdateFeatureOnlineStoreRequest |
Request message for
[FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore].
|
| UpdateFeatureOnlineStoreRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore].
|
| UpdateFeatureOperationMetadata |
Details of operations that perform update Feature.
|
| UpdateFeatureOperationMetadata.Builder |
Details of operations that perform update Feature.
|
| UpdateFeatureRequest |
Request message for
[FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
|
| UpdateFeatureRequest.Builder |
Request message for
[FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
|
| UpdateFeaturestoreOperationMetadata |
Details of operations that perform update Featurestore.
|
| UpdateFeaturestoreOperationMetadata.Builder |
Details of operations that perform update Featurestore.
|
| UpdateFeaturestoreRequest |
Request message for
[FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
|
| UpdateFeaturestoreRequest.Builder |
Request message for
[FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
|
| UpdateFeatureViewOperationMetadata |
Details of operations that perform update FeatureView.
|
| UpdateFeatureViewOperationMetadata.Builder |
Details of operations that perform update FeatureView.
|
| UpdateFeatureViewRequest |
Request message for
[FeatureOnlineStoreAdminService.UpdateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureView].
|
| UpdateFeatureViewRequest.Builder |
Request message for
[FeatureOnlineStoreAdminService.UpdateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureView].
|
| UpdateIndexEndpointRequest |
Request message for
[IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
|
| UpdateIndexEndpointRequest.Builder |
Request message for
[IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
|
| UpdateIndexOperationMetadata |
Runtime operation information for
[IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
|
| UpdateIndexOperationMetadata.Builder |
Runtime operation information for
[IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
|
| UpdateIndexRequest |
Request message for
[IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
|
| UpdateIndexRequest.Builder |
Request message for
[IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
|
| UpdateModelDeploymentMonitoringJobOperationMetadata |
Runtime operation information for
[JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
|
| UpdateModelDeploymentMonitoringJobOperationMetadata.Builder |
Runtime operation information for
[JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
|
| UpdateModelDeploymentMonitoringJobRequest |
Request message for
[JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
|
| UpdateModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
|
| UpdateModelRequest |
Request message for
[ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
|
| UpdateModelRequest.Builder |
Request message for
[ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
|
| UpdateNotebookRuntimeTemplateRequest |
Request message for
[NotebookService.UpdateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.UpdateNotebookRuntimeTemplate].
|
| UpdateNotebookRuntimeTemplateRequest.Builder |
Request message for
[NotebookService.UpdateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.UpdateNotebookRuntimeTemplate].
|
| UpdatePersistentResourceOperationMetadata |
Details of operations that perform update PersistentResource.
|
| UpdatePersistentResourceOperationMetadata.Builder |
Details of operations that perform update PersistentResource.
|
| UpdatePersistentResourceRequest |
Request message for UpdatePersistentResource method.
|
| UpdatePersistentResourceRequest.Builder |
Request message for UpdatePersistentResource method.
|
| UpdateRagCorpusOperationMetadata |
Runtime operation information for
[VertexRagDataService.UpdateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.UpdateRagCorpus].
|
| UpdateRagCorpusOperationMetadata.Builder |
Runtime operation information for
[VertexRagDataService.UpdateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.UpdateRagCorpus].
|
| UpdateRagCorpusRequest |
Request message for
[VertexRagDataService.UpdateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.UpdateRagCorpus].
|
| UpdateRagCorpusRequest.Builder |
Request message for
[VertexRagDataService.UpdateRagCorpus][google.cloud.aiplatform.v1.VertexRagDataService.UpdateRagCorpus].
|
| UpdateReasoningEngineOperationMetadata |
Details of
[ReasoningEngineService.UpdateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.UpdateReasoningEngine]
operation.
|
| UpdateReasoningEngineOperationMetadata.Builder |
Details of
[ReasoningEngineService.UpdateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.UpdateReasoningEngine]
operation.
|
| UpdateReasoningEngineRequest |
Request message for
[ReasoningEngineService.UpdateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.UpdateReasoningEngine].
|
| UpdateReasoningEngineRequest.Builder |
Request message for
[ReasoningEngineService.UpdateReasoningEngine][google.cloud.aiplatform.v1.ReasoningEngineService.UpdateReasoningEngine].
|
| UpdateScheduleRequest |
Request message for
[ScheduleService.UpdateSchedule][google.cloud.aiplatform.v1.ScheduleService.UpdateSchedule].
|
| UpdateScheduleRequest.Builder |
Request message for
[ScheduleService.UpdateSchedule][google.cloud.aiplatform.v1.ScheduleService.UpdateSchedule].
|
| UpdateSpecialistPoolOperationMetadata |
Runtime operation metadata for
[SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
|
| UpdateSpecialistPoolOperationMetadata.Builder |
Runtime operation metadata for
[SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
|
| UpdateSpecialistPoolRequest |
Request message for
[SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
|
| UpdateSpecialistPoolRequest.Builder |
Request message for
[SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
|
| UpdateTensorboardExperimentRequest |
Request message for
[TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
|
| UpdateTensorboardExperimentRequest.Builder |
Request message for
[TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment].
|
| UpdateTensorboardOperationMetadata |
Details of operations that perform update Tensorboard.
|
| UpdateTensorboardOperationMetadata.Builder |
Details of operations that perform update Tensorboard.
|
| UpdateTensorboardRequest |
Request message for
[TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
|
| UpdateTensorboardRequest.Builder |
Request message for
[TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard].
|
| UpdateTensorboardRunRequest |
Request message for
[TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
|
| UpdateTensorboardRunRequest.Builder |
Request message for
[TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardRun].
|
| UpdateTensorboardTimeSeriesRequest |
Request message for
[TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
|
| UpdateTensorboardTimeSeriesRequest.Builder |
Request message for
[TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardTimeSeries].
|
| UpgradeNotebookRuntimeOperationMetadata |
Metadata information for
[NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime].
|
| UpgradeNotebookRuntimeOperationMetadata.Builder |
Metadata information for
[NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime].
|
| UpgradeNotebookRuntimeRequest |
Request message for
[NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime].
|
| UpgradeNotebookRuntimeRequest.Builder |
Request message for
[NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime].
|
| UpgradeNotebookRuntimeResponse |
Response message for
[NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime].
|
| UpgradeNotebookRuntimeResponse.Builder |
Response message for
[NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime].
|
| UploadModelOperationMetadata |
Details of
[ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
operation.
|
| UploadModelOperationMetadata.Builder |
Details of
[ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
operation.
|
| UploadModelRequest |
Request message for
[ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
|
| UploadModelRequest.Builder |
Request message for
[ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
|
| UploadModelResponse |
Response message of
[ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
operation.
|
| UploadModelResponse.Builder |
Response message of
[ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]
operation.
|
| UploadRagFileConfig |
Config for uploading RagFile.
|
| UploadRagFileConfig.Builder |
Config for uploading RagFile.
|
| UploadRagFileRequest |
Request message for
[VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1.VertexRagDataService.UploadRagFile].
|
| UploadRagFileRequest.Builder |
Request message for
[VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1.VertexRagDataService.UploadRagFile].
|
| UploadRagFileResponse |
Response message for
[VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1.VertexRagDataService.UploadRagFile].
|
| UploadRagFileResponse.Builder |
Response message for
[VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1.VertexRagDataService.UploadRagFile].
|
| UpsertDatapointsRequest |
Request message for
[IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
Protobuf type
google.cloud.aiplatform.v1.UpsertDatapointsRequest |
| UpsertDatapointsRequest.Builder |
Request message for
[IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
Protobuf type
google.cloud.aiplatform.v1.UpsertDatapointsRequest |
| UpsertDatapointsResponse |
Response message for
[IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
Protobuf type
google.cloud.aiplatform.v1.UpsertDatapointsResponse |
| UpsertDatapointsResponse.Builder |
Response message for
[IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints]
Protobuf type
google.cloud.aiplatform.v1.UpsertDatapointsResponse |
| UserActionReference |
References an API call.
|
| UserActionReference.Builder |
References an API call.
|
| UserActionReferenceProto | |
| Value |
Value is the value of the field.
|
| Value.Builder |
Value is the value of the field.
|
| ValueProto | |
| VertexAISearch |
Retrieve from Vertex AI Search datastore or engine for grounding.
|
| VertexAISearch.Builder |
Retrieve from Vertex AI Search datastore or engine for grounding.
|
| VertexAiSearchConfig |
Config for the Vertex AI Search.
|
| VertexAiSearchConfig.Builder |
Config for the Vertex AI Search.
|
| VertexRagDataProto | |
| VertexRagDataServiceProto | |
| VertexRagServiceProto | |
| VertexRagStore |
Retrieve from Vertex RAG Store for grounding.
|
| VertexRagStore.Builder |
Retrieve from Vertex RAG Store for grounding.
|
| VertexRagStore.RagResource |
The definition of the Rag resource.
|
| VertexRagStore.RagResource.Builder |
The definition of the Rag resource.
|
| VideoMetadata |
Metadata describes the input video content.
|
| VideoMetadata.Builder |
Metadata describes the input video content.
|
| VizierServiceProto | |
| WorkerPoolSpec |
Represents the spec of a worker pool in a job.
|
| WorkerPoolSpec.Builder |
Represents the spec of a worker pool in a job.
|
| WriteFeatureValuesPayload |
Contains Feature values to be written for a specific entity.
|
| WriteFeatureValuesPayload.Builder |
Contains Feature values to be written for a specific entity.
|
| WriteFeatureValuesRequest |
Request message for
[FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
|
| WriteFeatureValuesRequest.Builder |
Request message for
[FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
|
| WriteFeatureValuesResponse |
Response message for
[FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
|
| WriteFeatureValuesResponse.Builder |
Response message for
[FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
|
| WriteTensorboardExperimentDataRequest |
Request message for
[TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
|
| WriteTensorboardExperimentDataRequest.Builder |
Request message for
[TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
|
| WriteTensorboardExperimentDataResponse |
Response message for
[TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
|
| WriteTensorboardExperimentDataResponse.Builder |
Response message for
[TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardExperimentData].
|
| WriteTensorboardRunDataRequest |
Request message for
[TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
|
| WriteTensorboardRunDataRequest.Builder |
Request message for
[TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
|
| WriteTensorboardRunDataResponse |
Response message for
[TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
|
| WriteTensorboardRunDataResponse.Builder |
Response message for
[TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1.TensorboardService.WriteTensorboardRunData].
|
| XraiAttribution |
An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's fully
differentiable structure.
|
| XraiAttribution.Builder |
An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's fully
differentiable structure.
|
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