Class |
Description |
com.google.cloud.aiplatform.v1beta1.AcceleratorTypeProto |
|
com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig |
Parameters that configure the active learning pipeline. Active learning will
label the data incrementally by several iterations. For every iteration, it
will select a batch of data based on the sampling strategy. |
com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.Builder |
Parameters that configure the active learning pipeline. Active learning will
label the data incrementally by several iterations. For every iteration, it
will select a batch of data based on the sampling strategy. |
com.google.cloud.aiplatform.v1beta1.AddContextArtifactsAndExecutionsRequest |
Request message for
MetadataService.AddContextArtifactsAndExecutions.
|
com.google.cloud.aiplatform.v1beta1.AddContextArtifactsAndExecutionsRequest.Builder |
Request message for
MetadataService.AddContextArtifactsAndExecutions.
|
com.google.cloud.aiplatform.v1beta1.AddContextArtifactsAndExecutionsResponse |
Response message for
MetadataService.AddContextArtifactsAndExecutions.
|
com.google.cloud.aiplatform.v1beta1.AddContextArtifactsAndExecutionsResponse.Builder |
Response message for
MetadataService.AddContextArtifactsAndExecutions.
|
com.google.cloud.aiplatform.v1beta1.AddContextChildrenRequest |
Request message for
MetadataService.AddContextChildren.
|
com.google.cloud.aiplatform.v1beta1.AddContextChildrenRequest.Builder |
Request message for
MetadataService.AddContextChildren.
|
com.google.cloud.aiplatform.v1beta1.AddContextChildrenResponse |
Response message for
MetadataService.AddContextChildren.
|
com.google.cloud.aiplatform.v1beta1.AddContextChildrenResponse.Builder |
Response message for
MetadataService.AddContextChildren.
|
com.google.cloud.aiplatform.v1beta1.AddExecutionEventsRequest |
Request message for
MetadataService.AddExecutionEvents.
|
com.google.cloud.aiplatform.v1beta1.AddExecutionEventsRequest.Builder |
Request message for
MetadataService.AddExecutionEvents.
|
com.google.cloud.aiplatform.v1beta1.AddExecutionEventsResponse |
Response message for
MetadataService.AddExecutionEvents.
|
com.google.cloud.aiplatform.v1beta1.AddExecutionEventsResponse.Builder |
Response message for
MetadataService.AddExecutionEvents.
|
com.google.cloud.aiplatform.v1beta1.AddTrialMeasurementRequest |
Request message for
VizierService.AddTrialMeasurement.
|
com.google.cloud.aiplatform.v1beta1.AddTrialMeasurementRequest.Builder |
Request message for
VizierService.AddTrialMeasurement.
|
com.google.cloud.aiplatform.v1beta1.Annotation |
Used to assign specific AnnotationSpec to a particular area of a DataItem or
the whole part of the DataItem.
|
com.google.cloud.aiplatform.v1beta1.Annotation.Builder |
Used to assign specific AnnotationSpec to a particular area of a DataItem or
the whole part of the DataItem.
|
com.google.cloud.aiplatform.v1beta1.AnnotationProto |
|
com.google.cloud.aiplatform.v1beta1.AnnotationSpec |
Identifies a concept with which DataItems may be annotated with.
|
com.google.cloud.aiplatform.v1beta1.AnnotationSpec.Builder |
Identifies a concept with which DataItems may be annotated with.
|
com.google.cloud.aiplatform.v1beta1.AnnotationSpecName |
|
com.google.cloud.aiplatform.v1beta1.AnnotationSpecName.Builder |
Builder for
projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}. |
com.google.cloud.aiplatform.v1beta1.AnnotationSpecProto |
|
com.google.cloud.aiplatform.v1beta1.Artifact |
Instance of a general artifact.
|
com.google.cloud.aiplatform.v1beta1.Artifact.Builder |
Instance of a general artifact.
|
com.google.cloud.aiplatform.v1beta1.ArtifactName |
|
com.google.cloud.aiplatform.v1beta1.ArtifactName.Builder |
Builder for
projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}. |
com.google.cloud.aiplatform.v1beta1.ArtifactProto |
|
com.google.cloud.aiplatform.v1beta1.AssignNotebookRuntimeOperationMetadata |
Metadata information for
NotebookService.AssignNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.AssignNotebookRuntimeOperationMetadata.Builder |
Metadata information for
NotebookService.AssignNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.AssignNotebookRuntimeRequest |
Request message for
NotebookService.AssignNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.AssignNotebookRuntimeRequest.Builder |
Request message for
NotebookService.AssignNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.Attribution |
Attribution that explains a particular prediction output.
|
com.google.cloud.aiplatform.v1beta1.Attribution.Builder |
Attribution that explains a particular prediction output.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig |
Auth configuration to run the extension.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.ApiKeyConfig |
Config for authentication with API key.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.ApiKeyConfig.Builder |
Config for authentication with API key.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.Builder |
Auth configuration to run the extension.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.GoogleServiceAccountConfig |
Config for Google Service Account Authentication.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.GoogleServiceAccountConfig.Builder |
Config for Google Service Account Authentication.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.HttpBasicAuthConfig |
Config for HTTP Basic Authentication.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.HttpBasicAuthConfig.Builder |
Config for HTTP Basic Authentication.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.OauthConfig |
Config for user oauth.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.OauthConfig.Builder |
Config for user oauth.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.OidcConfig |
Config for user OIDC auth.
|
com.google.cloud.aiplatform.v1beta1.AuthConfig.OidcConfig.Builder |
Config for user OIDC auth.
|
com.google.cloud.aiplatform.v1beta1.AutomaticResources |
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
Each Model supporting these resources documents its specific guidelines. |
com.google.cloud.aiplatform.v1beta1.AutomaticResources.Builder |
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
Each Model supporting these resources documents its specific guidelines. |
com.google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec |
The metric specification that defines the target resource utilization
(CPU utilization, accelerator's duty cycle, and so on) for calculating the
desired replica count. |
com.google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.Builder |
The metric specification that defines the target resource utilization
(CPU utilization, accelerator's duty cycle, and so on) for calculating the
desired replica count. |
com.google.cloud.aiplatform.v1beta1.AvroSource |
The storage details for Avro input content.
|
com.google.cloud.aiplatform.v1beta1.AvroSource.Builder |
The storage details for Avro input content.
|
com.google.cloud.aiplatform.v1beta1.BatchCancelPipelineJobsOperationMetadata |
Runtime operation information for
PipelineService.BatchCancelPipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.BatchCancelPipelineJobsOperationMetadata.Builder |
Runtime operation information for
PipelineService.BatchCancelPipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.BatchCancelPipelineJobsRequest |
Request message for
PipelineService.BatchCancelPipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.BatchCancelPipelineJobsRequest.Builder |
Request message for
PipelineService.BatchCancelPipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.BatchCancelPipelineJobsResponse |
Response message for
PipelineService.BatchCancelPipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.BatchCancelPipelineJobsResponse.Builder |
Response message for
PipelineService.BatchCancelPipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata |
Details of operations that perform batch create Features.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.Builder |
Details of operations that perform batch create Features.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest |
Request message for
FeaturestoreService.BatchCreateFeatures.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.Builder |
Request message for
FeaturestoreService.BatchCreateFeatures.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse |
Response message for
FeaturestoreService.BatchCreateFeatures.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.Builder |
Response message for
FeaturestoreService.BatchCreateFeatures.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsRequest |
Request message for
TensorboardService.BatchCreateTensorboardRuns.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsRequest.Builder |
Request message for
TensorboardService.BatchCreateTensorboardRuns.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsResponse |
Response message for
TensorboardService.BatchCreateTensorboardRuns.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsResponse.Builder |
Response message for
TensorboardService.BatchCreateTensorboardRuns.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesRequest |
Request message for
TensorboardService.BatchCreateTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesRequest.Builder |
Request message for
TensorboardService.BatchCreateTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesResponse |
Response message for
TensorboardService.BatchCreateTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesResponse.Builder |
Response message for
TensorboardService.BatchCreateTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.BatchDedicatedResources |
A description of resources that are used for performing batch operations, are
dedicated to a Model, and need manual configuration.
|
com.google.cloud.aiplatform.v1beta1.BatchDedicatedResources.Builder |
A description of resources that are used for performing batch operations, are
dedicated to a Model, and need manual configuration.
|
com.google.cloud.aiplatform.v1beta1.BatchDeletePipelineJobsRequest |
Request message for
PipelineService.BatchDeletePipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.BatchDeletePipelineJobsRequest.Builder |
Request message for
PipelineService.BatchDeletePipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.BatchDeletePipelineJobsResponse |
Response message for
PipelineService.BatchDeletePipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.BatchDeletePipelineJobsResponse.Builder |
Response message for
PipelineService.BatchDeletePipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.BatchImportEvaluatedAnnotationsRequest |
Request message for
ModelService.BatchImportEvaluatedAnnotations
|
com.google.cloud.aiplatform.v1beta1.BatchImportEvaluatedAnnotationsRequest.Builder |
Request message for
ModelService.BatchImportEvaluatedAnnotations
|
com.google.cloud.aiplatform.v1beta1.BatchImportEvaluatedAnnotationsResponse |
Response message for
ModelService.BatchImportEvaluatedAnnotations
|
com.google.cloud.aiplatform.v1beta1.BatchImportEvaluatedAnnotationsResponse.Builder |
Response message for
ModelService.BatchImportEvaluatedAnnotations
|
com.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest |
Request message for
ModelService.BatchImportModelEvaluationSlices
|
com.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest.Builder |
Request message for
ModelService.BatchImportModelEvaluationSlices
|
com.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse |
Response message for
ModelService.BatchImportModelEvaluationSlices
|
com.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse.Builder |
Response message for
ModelService.BatchImportModelEvaluationSlices
|
com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata |
Runtime operation information for
MigrationService.BatchMigrateResources.
|
com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.Builder |
Runtime operation information for
MigrationService.BatchMigrateResources.
|
com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult |
Represents a partial result in batch migration operation for one
MigrateResourceRequest.
|
com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult.Builder |
Represents a partial result in batch migration operation for one
MigrateResourceRequest.
|
com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesRequest |
Request message for
MigrationService.BatchMigrateResources.
|
com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesRequest.Builder |
Request message for
MigrationService.BatchMigrateResources.
|
com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesResponse |
Response message for
MigrationService.BatchMigrateResources.
|
com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesResponse.Builder |
Response message for
MigrationService.BatchMigrateResources.
|
com.google.cloud.aiplatform.v1beta1.BatchPredictionJob |
A job that uses a
Model to produce
predictions on multiple input |
com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.Builder |
A job that uses a
Model to produce
predictions on multiple input |
com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig |
Configures the input to
BatchPredictionJob.
See |
com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.Builder |
Configures the input to
BatchPredictionJob.
See |
com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig |
Configuration defining how to transform batch prediction input instances to
the instances that the Model accepts.
|
com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig.Builder |
Configuration defining how to transform batch prediction input instances to
the instances that the Model accepts.
|
com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig |
Configures the output of
BatchPredictionJob.
See |
com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.Builder |
Configures the output of
BatchPredictionJob.
See |
com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo |
Further describes this job's output.
Supplements
output_config. |
com.google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputInfo.Builder |
Further describes this job's output.
Supplements
output_config. |
com.google.cloud.aiplatform.v1beta1.BatchPredictionJobName |
|
com.google.cloud.aiplatform.v1beta1.BatchPredictionJobName.Builder |
Builder for projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}. |
com.google.cloud.aiplatform.v1beta1.BatchPredictionJobProto |
|
com.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata |
Details of operations that batch reads Feature values.
|
com.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.Builder |
Details of operations that batch reads Feature values.
|
com.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest |
Request message for
FeaturestoreService.BatchReadFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.Builder |
Request message for
FeaturestoreService.BatchReadFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec |
Selects Features of an EntityType to read values of and specifies read
settings.
|
com.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.Builder |
Selects Features of an EntityType to read values of and specifies read
settings.
|
com.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField |
Describe pass-through fields in read_instance source.
|
com.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.Builder |
Describe pass-through fields in read_instance source.
|
com.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse |
Response message for
FeaturestoreService.BatchReadFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse.Builder |
Response message for
FeaturestoreService.BatchReadFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest |
Request message for
TensorboardService.BatchReadTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.Builder |
Request message for
TensorboardService.BatchReadTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataResponse |
Response message for
TensorboardService.BatchReadTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataResponse.Builder |
Response message for
TensorboardService.BatchReadTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.BigQueryDestination |
The BigQuery location for the output content.
|
com.google.cloud.aiplatform.v1beta1.BigQueryDestination.Builder |
The BigQuery location for the output content.
|
com.google.cloud.aiplatform.v1beta1.BigQuerySource |
The BigQuery location for the input content.
|
com.google.cloud.aiplatform.v1beta1.BigQuerySource.Builder |
The BigQuery location for the input content.
|
com.google.cloud.aiplatform.v1beta1.BleuInput |
Input for bleu metric.
|
com.google.cloud.aiplatform.v1beta1.BleuInput.Builder |
Input for bleu metric.
|
com.google.cloud.aiplatform.v1beta1.BleuInstance |
Spec for bleu instance.
|
com.google.cloud.aiplatform.v1beta1.BleuInstance.Builder |
Spec for bleu instance.
|
com.google.cloud.aiplatform.v1beta1.BleuMetricValue |
Bleu metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.BleuMetricValue.Builder |
Bleu metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.BleuResults |
Results for bleu metric.
|
com.google.cloud.aiplatform.v1beta1.BleuResults.Builder |
Results for bleu metric.
|
com.google.cloud.aiplatform.v1beta1.BleuSpec |
Spec for bleu score metric - calculates the precision of n-grams in the
prediction as compared to reference - returns a score ranging between 0 to 1.
|
com.google.cloud.aiplatform.v1beta1.BleuSpec.Builder |
Spec for bleu score metric - calculates the precision of n-grams in the
prediction as compared to reference - returns a score ranging between 0 to 1.
|
com.google.cloud.aiplatform.v1beta1.Blob |
Content blob.
It's preferred to send as text |
com.google.cloud.aiplatform.v1beta1.Blob.Builder |
Content blob.
It's preferred to send as text |
com.google.cloud.aiplatform.v1beta1.BlurBaselineConfig |
Config for blur baseline.
When enabled, a linear path from the maximally blurred image to the input |
com.google.cloud.aiplatform.v1beta1.BlurBaselineConfig.Builder |
Config for blur baseline.
When enabled, a linear path from the maximally blurred image to the input |
com.google.cloud.aiplatform.v1beta1.BoolArray |
A list of boolean values.
|
com.google.cloud.aiplatform.v1beta1.BoolArray.Builder |
A list of boolean values.
|
com.google.cloud.aiplatform.v1beta1.CachedContent |
A resource used in LLM queries for users to explicitly specify what to cache
and how to cache.
|
com.google.cloud.aiplatform.v1beta1.CachedContent.Builder |
A resource used in LLM queries for users to explicitly specify what to cache
and how to cache.
|
com.google.cloud.aiplatform.v1beta1.CachedContentName |
|
com.google.cloud.aiplatform.v1beta1.CachedContentName.Builder |
Builder for projects/{project}/locations/{location}/cachedContents/{cached_content}. |
com.google.cloud.aiplatform.v1beta1.CachedContentProto |
|
com.google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest |
Request message for
JobService.CancelBatchPredictionJob.
|
com.google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest.Builder |
Request message for
JobService.CancelBatchPredictionJob.
|
com.google.cloud.aiplatform.v1beta1.CancelCustomJobRequest |
Request message for
JobService.CancelCustomJob.
|
com.google.cloud.aiplatform.v1beta1.CancelCustomJobRequest.Builder |
Request message for
JobService.CancelCustomJob.
|
com.google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest |
Request message for
JobService.CancelDataLabelingJob.
|
com.google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest.Builder |
Request message for
JobService.CancelDataLabelingJob.
|
com.google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest |
Request message for
JobService.CancelHyperparameterTuningJob.
|
com.google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest.Builder |
Request message for
JobService.CancelHyperparameterTuningJob.
|
com.google.cloud.aiplatform.v1beta1.CancelNasJobRequest |
Request message for
JobService.CancelNasJob.
|
com.google.cloud.aiplatform.v1beta1.CancelNasJobRequest.Builder |
Request message for
JobService.CancelNasJob.
|
com.google.cloud.aiplatform.v1beta1.CancelPipelineJobRequest |
Request message for
PipelineService.CancelPipelineJob.
|
com.google.cloud.aiplatform.v1beta1.CancelPipelineJobRequest.Builder |
Request message for
PipelineService.CancelPipelineJob.
|
com.google.cloud.aiplatform.v1beta1.CancelTrainingPipelineRequest |
Request message for
PipelineService.CancelTrainingPipeline.
|
com.google.cloud.aiplatform.v1beta1.CancelTrainingPipelineRequest.Builder |
Request message for
PipelineService.CancelTrainingPipeline.
|
com.google.cloud.aiplatform.v1beta1.CancelTuningJobRequest |
Request message for
GenAiTuningService.CancelTuningJob.
|
com.google.cloud.aiplatform.v1beta1.CancelTuningJobRequest.Builder |
Request message for
GenAiTuningService.CancelTuningJob.
|
com.google.cloud.aiplatform.v1beta1.Candidate |
A response candidate generated from the model.
|
com.google.cloud.aiplatform.v1beta1.Candidate.Builder |
A response candidate generated from the model.
|
com.google.cloud.aiplatform.v1beta1.ChatCompletionsRequest |
Request message for [PredictionService.ChatCompletions]
|
com.google.cloud.aiplatform.v1beta1.ChatCompletionsRequest.Builder |
Request message for [PredictionService.ChatCompletions]
|
com.google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateMetatdata |
This message will be placed in the metadata field of a
google.longrunning.Operation associated with a CheckTrialEarlyStoppingState
request. |
com.google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateMetatdata.Builder |
This message will be placed in the metadata field of a
google.longrunning.Operation associated with a CheckTrialEarlyStoppingState
request. |
com.google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateRequest |
Request message for
VizierService.CheckTrialEarlyStoppingState.
|
com.google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateRequest.Builder |
Request message for
VizierService.CheckTrialEarlyStoppingState.
|
com.google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateResponse |
Response message for
VizierService.CheckTrialEarlyStoppingState.
|
com.google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateResponse.Builder |
Response message for
VizierService.CheckTrialEarlyStoppingState.
|
com.google.cloud.aiplatform.v1beta1.Citation |
Source attributions for content.
|
com.google.cloud.aiplatform.v1beta1.Citation.Builder |
Source attributions for content.
|
com.google.cloud.aiplatform.v1beta1.CitationMetadata |
A collection of source attributions for a piece of content.
|
com.google.cloud.aiplatform.v1beta1.CitationMetadata.Builder |
A collection of source attributions for a piece of content.
|
com.google.cloud.aiplatform.v1beta1.CoherenceInput |
Input for coherence metric.
|
com.google.cloud.aiplatform.v1beta1.CoherenceInput.Builder |
Input for coherence metric.
|
com.google.cloud.aiplatform.v1beta1.CoherenceInstance |
Spec for coherence instance.
|
com.google.cloud.aiplatform.v1beta1.CoherenceInstance.Builder |
Spec for coherence instance.
|
com.google.cloud.aiplatform.v1beta1.CoherenceResult |
Spec for coherence result.
|
com.google.cloud.aiplatform.v1beta1.CoherenceResult.Builder |
Spec for coherence result.
|
com.google.cloud.aiplatform.v1beta1.CoherenceSpec |
Spec for coherence score metric.
|
com.google.cloud.aiplatform.v1beta1.CoherenceSpec.Builder |
Spec for coherence score metric.
|
com.google.cloud.aiplatform.v1beta1.CompleteTrialRequest |
Request message for
VizierService.CompleteTrial.
|
com.google.cloud.aiplatform.v1beta1.CompleteTrialRequest.Builder |
Request message for
VizierService.CompleteTrial.
|
com.google.cloud.aiplatform.v1beta1.CompletionStats |
Success and error statistics of processing multiple entities
(for example, DataItems or structured data rows) in batch.
|
com.google.cloud.aiplatform.v1beta1.CompletionStats.Builder |
Success and error statistics of processing multiple entities
(for example, DataItems or structured data rows) in batch.
|
com.google.cloud.aiplatform.v1beta1.CompletionStatsProto |
|
com.google.cloud.aiplatform.v1beta1.ComputeTokensRequest |
Request message for ComputeTokens RPC call.
|
com.google.cloud.aiplatform.v1beta1.ComputeTokensRequest.Builder |
Request message for ComputeTokens RPC call.
|
com.google.cloud.aiplatform.v1beta1.ComputeTokensResponse |
Response message for ComputeTokens RPC call.
|
com.google.cloud.aiplatform.v1beta1.ComputeTokensResponse.Builder |
Response message for ComputeTokens RPC call.
|
com.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination |
The Container Registry location for the container image.
|
com.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination.Builder |
The Container Registry location for the container image.
|
com.google.cloud.aiplatform.v1beta1.ContainerSpec |
The spec of a Container.
|
com.google.cloud.aiplatform.v1beta1.ContainerSpec.Builder |
The spec of a Container.
|
com.google.cloud.aiplatform.v1beta1.Content |
The base structured datatype containing multi-part content of a message.
A Content includes a role field designating the producer of the Content |
com.google.cloud.aiplatform.v1beta1.Content.Builder |
The base structured datatype containing multi-part content of a message.
A Content includes a role field designating the producer of the Content |
com.google.cloud.aiplatform.v1beta1.ContentProto |
|
com.google.cloud.aiplatform.v1beta1.Context |
Instance of a general context.
|
com.google.cloud.aiplatform.v1beta1.Context.Builder |
Instance of a general context.
|
com.google.cloud.aiplatform.v1beta1.ContextName |
|
com.google.cloud.aiplatform.v1beta1.ContextName.Builder |
Builder for
projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}. |
com.google.cloud.aiplatform.v1beta1.ContextProto |
|
com.google.cloud.aiplatform.v1beta1.CopyModelOperationMetadata |
Details of
ModelService.CopyModel
operation. |
com.google.cloud.aiplatform.v1beta1.CopyModelOperationMetadata.Builder |
Details of
ModelService.CopyModel
operation. |
com.google.cloud.aiplatform.v1beta1.CopyModelRequest |
Request message for
ModelService.CopyModel.
|
com.google.cloud.aiplatform.v1beta1.CopyModelRequest.Builder |
Request message for
ModelService.CopyModel.
|
com.google.cloud.aiplatform.v1beta1.CopyModelResponse |
Response message of
ModelService.CopyModel
operation. |
com.google.cloud.aiplatform.v1beta1.CopyModelResponse.Builder |
Response message of
ModelService.CopyModel
operation. |
com.google.cloud.aiplatform.v1beta1.CountTokensRequest |
Request message for
PredictionService.CountTokens.
|
com.google.cloud.aiplatform.v1beta1.CountTokensRequest.Builder |
Request message for
PredictionService.CountTokens.
|
com.google.cloud.aiplatform.v1beta1.CountTokensResponse |
Response message for
PredictionService.CountTokens.
|
com.google.cloud.aiplatform.v1beta1.CountTokensResponse.Builder |
Response message for
PredictionService.CountTokens.
|
com.google.cloud.aiplatform.v1beta1.CreateArtifactRequest |
Request message for
MetadataService.CreateArtifact.
|
com.google.cloud.aiplatform.v1beta1.CreateArtifactRequest.Builder |
Request message for
MetadataService.CreateArtifact.
|
com.google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest |
Request message for
JobService.CreateBatchPredictionJob.
|
com.google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.Builder |
Request message for
JobService.CreateBatchPredictionJob.
|
com.google.cloud.aiplatform.v1beta1.CreateCachedContentRequest |
Request message for
GenAiCacheService.CreateCachedContent.
|
com.google.cloud.aiplatform.v1beta1.CreateCachedContentRequest.Builder |
Request message for
GenAiCacheService.CreateCachedContent.
|
com.google.cloud.aiplatform.v1beta1.CreateContextRequest |
Request message for
MetadataService.CreateContext.
|
com.google.cloud.aiplatform.v1beta1.CreateContextRequest.Builder |
Request message for
MetadataService.CreateContext.
|
com.google.cloud.aiplatform.v1beta1.CreateCustomJobRequest |
Request message for
JobService.CreateCustomJob.
|
com.google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.Builder |
Request message for
JobService.CreateCustomJob.
|
com.google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest |
Request message for
JobService.CreateDataLabelingJob.
|
com.google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.Builder |
Request message for
JobService.CreateDataLabelingJob.
|
com.google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata |
Runtime operation information for
DatasetService.CreateDataset.
|
com.google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.Builder |
Runtime operation information for
DatasetService.CreateDataset.
|
com.google.cloud.aiplatform.v1beta1.CreateDatasetRequest |
Request message for
DatasetService.CreateDataset.
|
com.google.cloud.aiplatform.v1beta1.CreateDatasetRequest.Builder |
Request message for
DatasetService.CreateDataset.
|
com.google.cloud.aiplatform.v1beta1.CreateDatasetVersionOperationMetadata |
Runtime operation information for
DatasetService.CreateDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.CreateDatasetVersionOperationMetadata.Builder |
Runtime operation information for
DatasetService.CreateDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.CreateDatasetVersionRequest |
Request message for
DatasetService.CreateDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.CreateDatasetVersionRequest.Builder |
Request message for
DatasetService.CreateDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.CreateDeploymentResourcePoolOperationMetadata |
Runtime operation information for CreateDeploymentResourcePool method.
|
com.google.cloud.aiplatform.v1beta1.CreateDeploymentResourcePoolOperationMetadata.Builder |
Runtime operation information for CreateDeploymentResourcePool method.
|
com.google.cloud.aiplatform.v1beta1.CreateDeploymentResourcePoolRequest |
Request message for CreateDeploymentResourcePool method.
|
com.google.cloud.aiplatform.v1beta1.CreateDeploymentResourcePoolRequest.Builder |
Request message for CreateDeploymentResourcePool method.
|
com.google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata |
Runtime operation information for
EndpointService.CreateEndpoint.
|
com.google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.Builder |
Runtime operation information for
EndpointService.CreateEndpoint.
|
com.google.cloud.aiplatform.v1beta1.CreateEndpointRequest |
Request message for
EndpointService.CreateEndpoint.
|
com.google.cloud.aiplatform.v1beta1.CreateEndpointRequest.Builder |
Request message for
EndpointService.CreateEndpoint.
|
com.google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata |
Details of operations that perform create EntityType.
|
com.google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.Builder |
Details of operations that perform create EntityType.
|
com.google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest |
Request message for
FeaturestoreService.CreateEntityType.
|
com.google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.Builder |
Request message for
FeaturestoreService.CreateEntityType.
|
com.google.cloud.aiplatform.v1beta1.CreateExecutionRequest |
Request message for
MetadataService.CreateExecution.
|
com.google.cloud.aiplatform.v1beta1.CreateExecutionRequest.Builder |
Request message for
MetadataService.CreateExecution.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureGroupOperationMetadata |
Details of operations that perform create FeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureGroupOperationMetadata.Builder |
Details of operations that perform create FeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureGroupRequest |
Request message for
FeatureRegistryService.CreateFeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureGroupRequest.Builder |
Request message for
FeatureRegistryService.CreateFeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureOnlineStoreOperationMetadata |
Details of operations that perform create FeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureOnlineStoreOperationMetadata.Builder |
Details of operations that perform create FeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureOnlineStoreRequest |
Request message for
FeatureOnlineStoreAdminService.CreateFeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureOnlineStoreRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.CreateFeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata |
Details of operations that perform create Feature.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.Builder |
Details of operations that perform create Feature.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureRequest |
Request message for
FeaturestoreService.CreateFeature.
Request message for |
com.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.Builder |
Request message for
FeaturestoreService.CreateFeature.
Request message for |
com.google.cloud.aiplatform.v1beta1.CreateFeatureViewOperationMetadata |
Details of operations that perform create FeatureView.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureViewOperationMetadata.Builder |
Details of operations that perform create FeatureView.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureViewRequest |
Request message for
FeatureOnlineStoreAdminService.CreateFeatureView.
|
com.google.cloud.aiplatform.v1beta1.CreateFeatureViewRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.CreateFeatureView.
|
com.google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata |
Details of operations that perform create Featurestore.
|
com.google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.Builder |
Details of operations that perform create Featurestore.
|
com.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest |
Request message for
FeaturestoreService.CreateFeaturestore.
|
com.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.Builder |
Request message for
FeaturestoreService.CreateFeaturestore.
|
com.google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest |
Request message for
JobService.CreateHyperparameterTuningJob.
|
com.google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.Builder |
Request message for
JobService.CreateHyperparameterTuningJob.
|
com.google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata |
Runtime operation information for
IndexEndpointService.CreateIndexEndpoint.
|
com.google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.Builder |
Runtime operation information for
IndexEndpointService.CreateIndexEndpoint.
|
com.google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest |
Request message for
IndexEndpointService.CreateIndexEndpoint.
|
com.google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.Builder |
Request message for
IndexEndpointService.CreateIndexEndpoint.
|
com.google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata |
Runtime operation information for
IndexService.CreateIndex.
|
com.google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.Builder |
Runtime operation information for
IndexService.CreateIndex.
|
com.google.cloud.aiplatform.v1beta1.CreateIndexRequest |
Request message for
IndexService.CreateIndex.
|
com.google.cloud.aiplatform.v1beta1.CreateIndexRequest.Builder |
Request message for
IndexService.CreateIndex.
|
com.google.cloud.aiplatform.v1beta1.CreateMetadataSchemaRequest |
Request message for
MetadataService.CreateMetadataSchema.
|
com.google.cloud.aiplatform.v1beta1.CreateMetadataSchemaRequest.Builder |
Request message for
MetadataService.CreateMetadataSchema.
|
com.google.cloud.aiplatform.v1beta1.CreateMetadataStoreOperationMetadata |
Details of operations that perform
MetadataService.CreateMetadataStore.
|
com.google.cloud.aiplatform.v1beta1.CreateMetadataStoreOperationMetadata.Builder |
Details of operations that perform
MetadataService.CreateMetadataStore.
|
com.google.cloud.aiplatform.v1beta1.CreateMetadataStoreRequest |
Request message for
MetadataService.CreateMetadataStore.
|
com.google.cloud.aiplatform.v1beta1.CreateMetadataStoreRequest.Builder |
Request message for
MetadataService.CreateMetadataStore.
|
com.google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest |
Request message for
JobService.CreateModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.Builder |
Request message for
JobService.CreateModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.CreateModelMonitorOperationMetadata |
Runtime operation information for
ModelMonitoringService.CreateModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.CreateModelMonitorOperationMetadata.Builder |
Runtime operation information for
ModelMonitoringService.CreateModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.CreateModelMonitorRequest |
Request message for
ModelMonitoringService.CreateModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.CreateModelMonitorRequest.Builder |
Request message for
ModelMonitoringService.CreateModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.CreateModelMonitoringJobRequest |
Request message for
ModelMonitoringService.CreateModelMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.CreateModelMonitoringJobRequest.Builder |
Request message for
ModelMonitoringService.CreateModelMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.CreateNasJobRequest |
Request message for
JobService.CreateNasJob.
|
com.google.cloud.aiplatform.v1beta1.CreateNasJobRequest.Builder |
Request message for
JobService.CreateNasJob.
|
com.google.cloud.aiplatform.v1beta1.CreateNotebookExecutionJobOperationMetadata |
Metadata information for
NotebookService.CreateNotebookExecutionJob.
|
com.google.cloud.aiplatform.v1beta1.CreateNotebookExecutionJobOperationMetadata.Builder |
Metadata information for
NotebookService.CreateNotebookExecutionJob.
|
com.google.cloud.aiplatform.v1beta1.CreateNotebookExecutionJobRequest |
Request message for [NotebookService.CreateNotebookExecutionJob]
|
com.google.cloud.aiplatform.v1beta1.CreateNotebookExecutionJobRequest.Builder |
Request message for [NotebookService.CreateNotebookExecutionJob]
|
com.google.cloud.aiplatform.v1beta1.CreateNotebookRuntimeTemplateOperationMetadata |
Metadata information for
NotebookService.CreateNotebookRuntimeTemplate.
|
com.google.cloud.aiplatform.v1beta1.CreateNotebookRuntimeTemplateOperationMetadata.Builder |
Metadata information for
NotebookService.CreateNotebookRuntimeTemplate.
|
com.google.cloud.aiplatform.v1beta1.CreateNotebookRuntimeTemplateRequest |
Request message for
NotebookService.CreateNotebookRuntimeTemplate.
|
com.google.cloud.aiplatform.v1beta1.CreateNotebookRuntimeTemplateRequest.Builder |
Request message for
NotebookService.CreateNotebookRuntimeTemplate.
|
com.google.cloud.aiplatform.v1beta1.CreatePersistentResourceOperationMetadata |
Details of operations that perform create PersistentResource.
|
com.google.cloud.aiplatform.v1beta1.CreatePersistentResourceOperationMetadata.Builder |
Details of operations that perform create PersistentResource.
|
com.google.cloud.aiplatform.v1beta1.CreatePersistentResourceRequest |
Request message for
PersistentResourceService.CreatePersistentResource.
|
com.google.cloud.aiplatform.v1beta1.CreatePersistentResourceRequest.Builder |
Request message for
PersistentResourceService.CreatePersistentResource.
|
com.google.cloud.aiplatform.v1beta1.CreatePipelineJobRequest |
Request message for
PipelineService.CreatePipelineJob.
|
com.google.cloud.aiplatform.v1beta1.CreatePipelineJobRequest.Builder |
Request message for
PipelineService.CreatePipelineJob.
|
com.google.cloud.aiplatform.v1beta1.CreateRagCorpusOperationMetadata |
Runtime operation information for
VertexRagDataService.CreateRagCorpus.
|
com.google.cloud.aiplatform.v1beta1.CreateRagCorpusOperationMetadata.Builder |
Runtime operation information for
VertexRagDataService.CreateRagCorpus.
|
com.google.cloud.aiplatform.v1beta1.CreateRagCorpusRequest |
Request message for
VertexRagDataService.CreateRagCorpus.
|
com.google.cloud.aiplatform.v1beta1.CreateRagCorpusRequest.Builder |
Request message for
VertexRagDataService.CreateRagCorpus.
|
com.google.cloud.aiplatform.v1beta1.CreateReasoningEngineOperationMetadata |
Details of
ReasoningEngineService.CreateReasoningEngine
operation. |
com.google.cloud.aiplatform.v1beta1.CreateReasoningEngineOperationMetadata.Builder |
Details of
ReasoningEngineService.CreateReasoningEngine
operation. |
com.google.cloud.aiplatform.v1beta1.CreateReasoningEngineRequest |
Request message for
ReasoningEngineService.CreateReasoningEngine.
|
com.google.cloud.aiplatform.v1beta1.CreateReasoningEngineRequest.Builder |
Request message for
ReasoningEngineService.CreateReasoningEngine.
|
com.google.cloud.aiplatform.v1beta1.CreateRegistryFeatureOperationMetadata |
Details of operations that perform create FeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.CreateRegistryFeatureOperationMetadata.Builder |
Details of operations that perform create FeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.CreateScheduleRequest |
Request message for
ScheduleService.CreateSchedule.
|
com.google.cloud.aiplatform.v1beta1.CreateScheduleRequest.Builder |
Request message for
ScheduleService.CreateSchedule.
|
com.google.cloud.aiplatform.v1beta1.CreateSpecialistPoolOperationMetadata |
Runtime operation information for
SpecialistPoolService.CreateSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.CreateSpecialistPoolOperationMetadata.Builder |
Runtime operation information for
SpecialistPoolService.CreateSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.CreateSpecialistPoolRequest |
Request message for
SpecialistPoolService.CreateSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.CreateSpecialistPoolRequest.Builder |
Request message for
SpecialistPoolService.CreateSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.CreateStudyRequest |
Request message for
VizierService.CreateStudy.
|
com.google.cloud.aiplatform.v1beta1.CreateStudyRequest.Builder |
Request message for
VizierService.CreateStudy.
|
com.google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest |
Request message for
TensorboardService.CreateTensorboardExperiment.
|
com.google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest.Builder |
Request message for
TensorboardService.CreateTensorboardExperiment.
|
com.google.cloud.aiplatform.v1beta1.CreateTensorboardOperationMetadata |
Details of operations that perform create Tensorboard.
|
com.google.cloud.aiplatform.v1beta1.CreateTensorboardOperationMetadata.Builder |
Details of operations that perform create Tensorboard.
|
com.google.cloud.aiplatform.v1beta1.CreateTensorboardRequest |
Request message for
TensorboardService.CreateTensorboard.
|
com.google.cloud.aiplatform.v1beta1.CreateTensorboardRequest.Builder |
Request message for
TensorboardService.CreateTensorboard.
|
com.google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest |
Request message for
TensorboardService.CreateTensorboardRun.
|
com.google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest.Builder |
Request message for
TensorboardService.CreateTensorboardRun.
|
com.google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest |
Request message for
TensorboardService.CreateTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest.Builder |
Request message for
TensorboardService.CreateTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.CreateTrainingPipelineRequest |
Request message for
PipelineService.CreateTrainingPipeline.
|
com.google.cloud.aiplatform.v1beta1.CreateTrainingPipelineRequest.Builder |
Request message for
PipelineService.CreateTrainingPipeline.
|
com.google.cloud.aiplatform.v1beta1.CreateTrialRequest |
Request message for
VizierService.CreateTrial.
|
com.google.cloud.aiplatform.v1beta1.CreateTrialRequest.Builder |
Request message for
VizierService.CreateTrial.
|
com.google.cloud.aiplatform.v1beta1.CreateTuningJobRequest |
Request message for
GenAiTuningService.CreateTuningJob.
|
com.google.cloud.aiplatform.v1beta1.CreateTuningJobRequest.Builder |
Request message for
GenAiTuningService.CreateTuningJob.
|
com.google.cloud.aiplatform.v1beta1.CsvDestination |
The storage details for CSV output content.
|
com.google.cloud.aiplatform.v1beta1.CsvDestination.Builder |
The storage details for CSV output content.
|
com.google.cloud.aiplatform.v1beta1.CsvSource |
The storage details for CSV input content.
|
com.google.cloud.aiplatform.v1beta1.CsvSource.Builder |
The storage details for CSV input content.
|
com.google.cloud.aiplatform.v1beta1.CustomJob |
Represents a job that runs custom workloads such as a Docker container or a
Python package. A CustomJob can have multiple worker pools and each worker
pool can have its own machine and input spec. A CustomJob will be cleaned up |
com.google.cloud.aiplatform.v1beta1.CustomJob.Builder |
Represents a job that runs custom workloads such as a Docker container or a
Python package. A CustomJob can have multiple worker pools and each worker
pool can have its own machine and input spec. A CustomJob will be cleaned up |
com.google.cloud.aiplatform.v1beta1.CustomJobName |
|
com.google.cloud.aiplatform.v1beta1.CustomJobName.Builder |
Builder for projects/{project}/locations/{location}/customJobs/{custom_job}. |
com.google.cloud.aiplatform.v1beta1.CustomJobProto |
|
com.google.cloud.aiplatform.v1beta1.CustomJobSpec |
Represents the spec of a CustomJob.
|
com.google.cloud.aiplatform.v1beta1.CustomJobSpec.Builder |
Represents the spec of a CustomJob.
|
com.google.cloud.aiplatform.v1beta1.DataItem |
A piece of data in a Dataset. Could be an image, a video, a document or plain
text.
|
com.google.cloud.aiplatform.v1beta1.DataItem.Builder |
A piece of data in a Dataset. Could be an image, a video, a document or plain
text.
|
com.google.cloud.aiplatform.v1beta1.DataItemName |
|
com.google.cloud.aiplatform.v1beta1.DataItemName.Builder |
Builder for projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}. |
com.google.cloud.aiplatform.v1beta1.DataItemProto |
|
com.google.cloud.aiplatform.v1beta1.DataItemView |
A container for a single DataItem and Annotations on it.
|
com.google.cloud.aiplatform.v1beta1.DataItemView.Builder |
A container for a single DataItem and Annotations on it.
|
com.google.cloud.aiplatform.v1beta1.DataLabelingJob |
DataLabelingJob is used to trigger a human labeling job on unlabeled data
from the following Dataset:
|
com.google.cloud.aiplatform.v1beta1.DataLabelingJob.Builder |
DataLabelingJob is used to trigger a human labeling job on unlabeled data
from the following Dataset:
|
com.google.cloud.aiplatform.v1beta1.DataLabelingJobName |
|
com.google.cloud.aiplatform.v1beta1.DataLabelingJobName.Builder |
Builder for projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}. |
com.google.cloud.aiplatform.v1beta1.DataLabelingJobProto |
|
com.google.cloud.aiplatform.v1beta1.Dataset |
A collection of DataItems and Annotations on them.
|
com.google.cloud.aiplatform.v1beta1.Dataset.Builder |
A collection of DataItems and Annotations on them.
|
com.google.cloud.aiplatform.v1beta1.DatasetName |
|
com.google.cloud.aiplatform.v1beta1.DatasetName.Builder |
Builder for projects/{project}/locations/{location}/datasets/{dataset}. |
com.google.cloud.aiplatform.v1beta1.DatasetProto |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListAnnotationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListAnnotationsPage |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListAnnotationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDataItemsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDataItemsPage |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDataItemsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetVersionsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetVersionsPage |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetVersionsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetsPage |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListSavedQueriesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListSavedQueriesPage |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListSavedQueriesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.SearchDataItemsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.SearchDataItemsPage |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.SearchDataItemsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceGrpc |
The service that manages Vertex AI Dataset and its child resources.
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceGrpc.DatasetServiceImplBase |
Base class for the server implementation of the service DatasetService.
The service that manages Vertex AI Dataset and its child resources. |
com.google.cloud.aiplatform.v1beta1.DatasetServiceProto |
|
com.google.cloud.aiplatform.v1beta1.DatasetServiceSettings.Builder |
Builder for DatasetServiceSettings. |
com.google.cloud.aiplatform.v1beta1.DatasetVersion |
Describes the dataset version.
|
com.google.cloud.aiplatform.v1beta1.DatasetVersion.Builder |
Describes the dataset version.
|
com.google.cloud.aiplatform.v1beta1.DatasetVersionName |
|
com.google.cloud.aiplatform.v1beta1.DatasetVersionName.Builder |
Builder for
projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}. |
com.google.cloud.aiplatform.v1beta1.DatasetVersionProto |
|
com.google.cloud.aiplatform.v1beta1.DedicatedResources |
A description of resources that are dedicated to a DeployedModel, and
that need a higher degree of manual configuration.
|
com.google.cloud.aiplatform.v1beta1.DedicatedResources.Builder |
A description of resources that are dedicated to a DeployedModel, and
that need a higher degree of manual configuration.
|
com.google.cloud.aiplatform.v1beta1.DeleteArtifactRequest |
Request message for
MetadataService.DeleteArtifact.
|
com.google.cloud.aiplatform.v1beta1.DeleteArtifactRequest.Builder |
Request message for
MetadataService.DeleteArtifact.
|
com.google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest |
Request message for
JobService.DeleteBatchPredictionJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest.Builder |
Request message for
JobService.DeleteBatchPredictionJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteCachedContentRequest |
Request message for
GenAiCacheService.DeleteCachedContent.
|
com.google.cloud.aiplatform.v1beta1.DeleteCachedContentRequest.Builder |
Request message for
GenAiCacheService.DeleteCachedContent.
|
com.google.cloud.aiplatform.v1beta1.DeleteContextRequest |
Request message for
MetadataService.DeleteContext.
|
com.google.cloud.aiplatform.v1beta1.DeleteContextRequest.Builder |
Request message for
MetadataService.DeleteContext.
|
com.google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest |
Request message for
JobService.DeleteCustomJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest.Builder |
Request message for
JobService.DeleteCustomJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest |
Request message for
JobService.DeleteDataLabelingJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest.Builder |
Request message for
JobService.DeleteDataLabelingJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteDatasetRequest |
Request message for
DatasetService.DeleteDataset.
|
com.google.cloud.aiplatform.v1beta1.DeleteDatasetRequest.Builder |
Request message for
DatasetService.DeleteDataset.
|
com.google.cloud.aiplatform.v1beta1.DeleteDatasetVersionRequest |
Request message for
DatasetService.DeleteDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.DeleteDatasetVersionRequest.Builder |
Request message for
DatasetService.DeleteDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.DeleteDeploymentResourcePoolRequest |
Request message for DeleteDeploymentResourcePool method.
|
com.google.cloud.aiplatform.v1beta1.DeleteDeploymentResourcePoolRequest.Builder |
Request message for DeleteDeploymentResourcePool method.
|
com.google.cloud.aiplatform.v1beta1.DeleteEndpointRequest |
Request message for
EndpointService.DeleteEndpoint.
|
com.google.cloud.aiplatform.v1beta1.DeleteEndpointRequest.Builder |
Request message for
EndpointService.DeleteEndpoint.
|
com.google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest |
Request message for [FeaturestoreService.DeleteEntityTypes][].
|
com.google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest.Builder |
Request message for [FeaturestoreService.DeleteEntityTypes][].
|
com.google.cloud.aiplatform.v1beta1.DeleteExecutionRequest |
Request message for
MetadataService.DeleteExecution.
|
com.google.cloud.aiplatform.v1beta1.DeleteExecutionRequest.Builder |
Request message for
MetadataService.DeleteExecution.
|
com.google.cloud.aiplatform.v1beta1.DeleteExtensionRequest |
Request message for
ExtensionRegistryService.DeleteExtension.
|
com.google.cloud.aiplatform.v1beta1.DeleteExtensionRequest.Builder |
Request message for
ExtensionRegistryService.DeleteExtension.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureGroupRequest |
Request message for
FeatureRegistryService.DeleteFeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureGroupRequest.Builder |
Request message for
FeatureRegistryService.DeleteFeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureOnlineStoreRequest |
Request message for
FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureOnlineStoreRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureRequest |
Request message for
FeaturestoreService.DeleteFeature.
Request message for |
com.google.cloud.aiplatform.v1beta1.DeleteFeatureRequest.Builder |
Request message for
FeaturestoreService.DeleteFeature.
Request message for |
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesOperationMetadata |
Details of operations that delete Feature values.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesOperationMetadata.Builder |
Details of operations that delete Feature values.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest |
Request message for
FeaturestoreService.DeleteFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.Builder |
Request message for
FeaturestoreService.DeleteFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectEntity |
Message to select entity.
If an entity id is selected, all the feature values corresponding to the
entity id will be deleted, including the entityId. |
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectEntity.Builder |
Message to select entity.
If an entity id is selected, all the feature values corresponding to the
entity id will be deleted, including the entityId. |
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature |
Message to select time range and feature.
Values of the selected feature generated within an inclusive time range
will be deleted. Using this option permanently deletes the feature values |
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature.Builder |
Message to select time range and feature.
Values of the selected feature generated within an inclusive time range
will be deleted. Using this option permanently deletes the feature values |
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse |
Response message for
FeaturestoreService.DeleteFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.Builder |
Response message for
FeaturestoreService.DeleteFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.SelectEntity |
Response message if the request uses the SelectEntity option.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.SelectEntity.Builder |
Response message if the request uses the SelectEntity option.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature |
Response message if the request uses the SelectTimeRangeAndFeature option.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature.Builder |
Response message if the request uses the SelectTimeRangeAndFeature option.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureViewRequest |
Request message for [FeatureOnlineStoreAdminService.DeleteFeatureViews][].
|
com.google.cloud.aiplatform.v1beta1.DeleteFeatureViewRequest.Builder |
Request message for [FeatureOnlineStoreAdminService.DeleteFeatureViews][].
|
com.google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest |
Request message for
FeaturestoreService.DeleteFeaturestore.
|
com.google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest.Builder |
Request message for
FeaturestoreService.DeleteFeaturestore.
|
com.google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest |
Request message for
JobService.DeleteHyperparameterTuningJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest.Builder |
Request message for
JobService.DeleteHyperparameterTuningJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest |
Request message for
IndexEndpointService.DeleteIndexEndpoint.
|
com.google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest.Builder |
Request message for
IndexEndpointService.DeleteIndexEndpoint.
|
com.google.cloud.aiplatform.v1beta1.DeleteIndexRequest |
Request message for
IndexService.DeleteIndex.
|
com.google.cloud.aiplatform.v1beta1.DeleteIndexRequest.Builder |
Request message for
IndexService.DeleteIndex.
|
com.google.cloud.aiplatform.v1beta1.DeleteMetadataStoreOperationMetadata |
Details of operations that perform
MetadataService.DeleteMetadataStore.
|
com.google.cloud.aiplatform.v1beta1.DeleteMetadataStoreOperationMetadata.Builder |
Details of operations that perform
MetadataService.DeleteMetadataStore.
|
com.google.cloud.aiplatform.v1beta1.DeleteMetadataStoreRequest |
Request message for
MetadataService.DeleteMetadataStore.
|
com.google.cloud.aiplatform.v1beta1.DeleteMetadataStoreRequest.Builder |
Request message for
MetadataService.DeleteMetadataStore.
|
com.google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest |
Request message for
JobService.DeleteModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest.Builder |
Request message for
JobService.DeleteModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteModelMonitorRequest |
Request message for
ModelMonitoringService.DeleteModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.DeleteModelMonitorRequest.Builder |
Request message for
ModelMonitoringService.DeleteModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.DeleteModelMonitoringJobRequest |
Request message for
ModelMonitoringService.DeleteModelMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteModelMonitoringJobRequest.Builder |
Request message for
ModelMonitoringService.DeleteModelMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteModelRequest |
Request message for
ModelService.DeleteModel.
|
com.google.cloud.aiplatform.v1beta1.DeleteModelRequest.Builder |
Request message for
ModelService.DeleteModel.
|
com.google.cloud.aiplatform.v1beta1.DeleteModelVersionRequest |
Request message for
ModelService.DeleteModelVersion.
|
com.google.cloud.aiplatform.v1beta1.DeleteModelVersionRequest.Builder |
Request message for
ModelService.DeleteModelVersion.
|
com.google.cloud.aiplatform.v1beta1.DeleteNasJobRequest |
Request message for
JobService.DeleteNasJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteNasJobRequest.Builder |
Request message for
JobService.DeleteNasJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteNotebookExecutionJobRequest |
Request message for [NotebookService.DeleteNotebookExecutionJob]
|
com.google.cloud.aiplatform.v1beta1.DeleteNotebookExecutionJobRequest.Builder |
Request message for [NotebookService.DeleteNotebookExecutionJob]
|
com.google.cloud.aiplatform.v1beta1.DeleteNotebookRuntimeRequest |
Request message for
NotebookService.DeleteNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.DeleteNotebookRuntimeRequest.Builder |
Request message for
NotebookService.DeleteNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.DeleteNotebookRuntimeTemplateRequest |
Request message for
NotebookService.DeleteNotebookRuntimeTemplate.
|
com.google.cloud.aiplatform.v1beta1.DeleteNotebookRuntimeTemplateRequest.Builder |
Request message for
NotebookService.DeleteNotebookRuntimeTemplate.
|
com.google.cloud.aiplatform.v1beta1.DeleteOperationMetadata |
Details of operations that perform deletes of any entities.
|
com.google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.Builder |
Details of operations that perform deletes of any entities.
|
com.google.cloud.aiplatform.v1beta1.DeletePersistentResourceRequest |
Request message for
PersistentResourceService.DeletePersistentResource.
|
com.google.cloud.aiplatform.v1beta1.DeletePersistentResourceRequest.Builder |
Request message for
PersistentResourceService.DeletePersistentResource.
|
com.google.cloud.aiplatform.v1beta1.DeletePipelineJobRequest |
Request message for
PipelineService.DeletePipelineJob.
|
com.google.cloud.aiplatform.v1beta1.DeletePipelineJobRequest.Builder |
Request message for
PipelineService.DeletePipelineJob.
|
com.google.cloud.aiplatform.v1beta1.DeleteRagCorpusRequest |
Request message for
VertexRagDataService.DeleteRagCorpus.
|
com.google.cloud.aiplatform.v1beta1.DeleteRagCorpusRequest.Builder |
Request message for
VertexRagDataService.DeleteRagCorpus.
|
com.google.cloud.aiplatform.v1beta1.DeleteRagFileRequest |
Request message for
VertexRagDataService.DeleteRagFile.
|
com.google.cloud.aiplatform.v1beta1.DeleteRagFileRequest.Builder |
Request message for
VertexRagDataService.DeleteRagFile.
|
com.google.cloud.aiplatform.v1beta1.DeleteReasoningEngineRequest |
Request message for
ReasoningEngineService.DeleteReasoningEngine.
|
com.google.cloud.aiplatform.v1beta1.DeleteReasoningEngineRequest.Builder |
Request message for
ReasoningEngineService.DeleteReasoningEngine.
|
com.google.cloud.aiplatform.v1beta1.DeleteSavedQueryRequest |
Request message for
DatasetService.DeleteSavedQuery.
|
com.google.cloud.aiplatform.v1beta1.DeleteSavedQueryRequest.Builder |
Request message for
DatasetService.DeleteSavedQuery.
|
com.google.cloud.aiplatform.v1beta1.DeleteScheduleRequest |
Request message for
ScheduleService.DeleteSchedule.
|
com.google.cloud.aiplatform.v1beta1.DeleteScheduleRequest.Builder |
Request message for
ScheduleService.DeleteSchedule.
|
com.google.cloud.aiplatform.v1beta1.DeleteSpecialistPoolRequest |
Request message for
SpecialistPoolService.DeleteSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.DeleteSpecialistPoolRequest.Builder |
Request message for
SpecialistPoolService.DeleteSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.DeleteStudyRequest |
Request message for
VizierService.DeleteStudy.
|
com.google.cloud.aiplatform.v1beta1.DeleteStudyRequest.Builder |
Request message for
VizierService.DeleteStudy.
|
com.google.cloud.aiplatform.v1beta1.DeleteTensorboardExperimentRequest |
Request message for
TensorboardService.DeleteTensorboardExperiment.
|
com.google.cloud.aiplatform.v1beta1.DeleteTensorboardExperimentRequest.Builder |
Request message for
TensorboardService.DeleteTensorboardExperiment.
|
com.google.cloud.aiplatform.v1beta1.DeleteTensorboardRequest |
Request message for
TensorboardService.DeleteTensorboard.
|
com.google.cloud.aiplatform.v1beta1.DeleteTensorboardRequest.Builder |
Request message for
TensorboardService.DeleteTensorboard.
|
com.google.cloud.aiplatform.v1beta1.DeleteTensorboardRunRequest |
Request message for
TensorboardService.DeleteTensorboardRun.
|
com.google.cloud.aiplatform.v1beta1.DeleteTensorboardRunRequest.Builder |
Request message for
TensorboardService.DeleteTensorboardRun.
|
com.google.cloud.aiplatform.v1beta1.DeleteTensorboardTimeSeriesRequest |
Request message for
TensorboardService.DeleteTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.DeleteTensorboardTimeSeriesRequest.Builder |
Request message for
TensorboardService.DeleteTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.DeleteTrainingPipelineRequest |
Request message for
PipelineService.DeleteTrainingPipeline.
|
com.google.cloud.aiplatform.v1beta1.DeleteTrainingPipelineRequest.Builder |
Request message for
PipelineService.DeleteTrainingPipeline.
|
com.google.cloud.aiplatform.v1beta1.DeleteTrialRequest |
Request message for
VizierService.DeleteTrial.
|
com.google.cloud.aiplatform.v1beta1.DeleteTrialRequest.Builder |
Request message for
VizierService.DeleteTrial.
|
com.google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata |
Runtime operation information for
IndexEndpointService.DeployIndex.
|
com.google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.Builder |
Runtime operation information for
IndexEndpointService.DeployIndex.
|
com.google.cloud.aiplatform.v1beta1.DeployIndexRequest |
Request message for
IndexEndpointService.DeployIndex.
|
com.google.cloud.aiplatform.v1beta1.DeployIndexRequest.Builder |
Request message for
IndexEndpointService.DeployIndex.
|
com.google.cloud.aiplatform.v1beta1.DeployIndexResponse |
Response message for
IndexEndpointService.DeployIndex.
|
com.google.cloud.aiplatform.v1beta1.DeployIndexResponse.Builder |
Response message for
IndexEndpointService.DeployIndex.
|
com.google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata |
Runtime operation information for
EndpointService.DeployModel.
|
com.google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.Builder |
Runtime operation information for
EndpointService.DeployModel.
|
com.google.cloud.aiplatform.v1beta1.DeployModelRequest |
Request message for
EndpointService.DeployModel.
|
com.google.cloud.aiplatform.v1beta1.DeployModelRequest.Builder |
Request message for
EndpointService.DeployModel.
|
com.google.cloud.aiplatform.v1beta1.DeployModelResponse |
Response message for
EndpointService.DeployModel.
|
com.google.cloud.aiplatform.v1beta1.DeployModelResponse.Builder |
Response message for
EndpointService.DeployModel.
|
com.google.cloud.aiplatform.v1beta1.DeployedIndex |
A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.
|
com.google.cloud.aiplatform.v1beta1.DeployedIndex.Builder |
A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.
|
com.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig |
Used to set up the auth on the DeployedIndex's private endpoint.
|
com.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider |
Configuration for an authentication provider, including support for
JSON Web Token
(JWT). |
com.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.Builder |
Configuration for an authentication provider, including support for
JSON Web Token
(JWT). |
com.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.Builder |
Used to set up the auth on the DeployedIndex's private endpoint.
|
com.google.cloud.aiplatform.v1beta1.DeployedIndexRef |
Points to a DeployedIndex.
|
com.google.cloud.aiplatform.v1beta1.DeployedIndexRef.Builder |
Points to a DeployedIndex.
|
com.google.cloud.aiplatform.v1beta1.DeployedIndexRefProto |
|
com.google.cloud.aiplatform.v1beta1.DeployedModel |
A deployment of a Model. Endpoints contain one or more DeployedModels.
|
com.google.cloud.aiplatform.v1beta1.DeployedModel.Builder |
A deployment of a Model. Endpoints contain one or more DeployedModels.
|
com.google.cloud.aiplatform.v1beta1.DeployedModelNameProto |
|
com.google.cloud.aiplatform.v1beta1.DeployedModelRef |
Points to a DeployedModel.
|
com.google.cloud.aiplatform.v1beta1.DeployedModelRef.Builder |
Points to a DeployedModel.
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePool |
A description of resources that can be shared by multiple DeployedModels,
whose underlying specification consists of a DedicatedResources.
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePool.Builder |
A description of resources that can be shared by multiple DeployedModels,
whose underlying specification consists of a DedicatedResources.
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolName |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolName.Builder |
Builder for
projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}. |
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolProto |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceClient.ListDeploymentResourcePoolsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceClient.ListDeploymentResourcePoolsPage |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceClient.ListDeploymentResourcePoolsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceClient.QueryDeployedModelsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceClient.QueryDeployedModelsPage |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceClient.QueryDeployedModelsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceGrpc |
A service that manages the DeploymentResourcePool resource.
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceGrpc.DeploymentResourcePoolServiceImplBase |
Base class for the server implementation of the service DeploymentResourcePoolService.
A service that manages the DeploymentResourcePool resource. |
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceProto |
|
com.google.cloud.aiplatform.v1beta1.DeploymentResourcePoolServiceSettings.Builder |
Builder for DeploymentResourcePoolServiceSettings. |
com.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting |
Protobuf type google.cloud.aiplatform.v1beta1.DestinationFeatureSetting |
com.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.Builder |
Protobuf type google.cloud.aiplatform.v1beta1.DestinationFeatureSetting |
com.google.cloud.aiplatform.v1beta1.DirectPredictRequest |
Request message for
PredictionService.DirectPredict.
|
com.google.cloud.aiplatform.v1beta1.DirectPredictRequest.Builder |
Request message for
PredictionService.DirectPredict.
|
com.google.cloud.aiplatform.v1beta1.DirectPredictResponse |
Response message for
PredictionService.DirectPredict.
|
com.google.cloud.aiplatform.v1beta1.DirectPredictResponse.Builder |
Response message for
PredictionService.DirectPredict.
|
com.google.cloud.aiplatform.v1beta1.DirectRawPredictRequest |
Request message for
PredictionService.DirectRawPredict.
|
com.google.cloud.aiplatform.v1beta1.DirectRawPredictRequest.Builder |
Request message for
PredictionService.DirectRawPredict.
|
com.google.cloud.aiplatform.v1beta1.DirectRawPredictResponse |
Response message for
PredictionService.DirectRawPredict.
|
com.google.cloud.aiplatform.v1beta1.DirectRawPredictResponse.Builder |
Response message for
PredictionService.DirectRawPredict.
|
com.google.cloud.aiplatform.v1beta1.DirectUploadSource |
The input content is encapsulated and uploaded in the request.
|
com.google.cloud.aiplatform.v1beta1.DirectUploadSource.Builder |
The input content is encapsulated and uploaded in the request.
|
com.google.cloud.aiplatform.v1beta1.DiskSpec |
Represents the spec of disk options.
|
com.google.cloud.aiplatform.v1beta1.DiskSpec.Builder |
Represents the spec of disk options.
|
com.google.cloud.aiplatform.v1beta1.DoubleArray |
A list of double values.
|
com.google.cloud.aiplatform.v1beta1.DoubleArray.Builder |
A list of double values.
|
com.google.cloud.aiplatform.v1beta1.EncryptionSpec |
Represents a customer-managed encryption key spec that can be applied to
a top-level resource.
|
com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder |
Represents a customer-managed encryption key spec that can be applied to
a top-level resource.
|
com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto |
|
com.google.cloud.aiplatform.v1beta1.Endpoint |
Models are deployed into it, and afterwards Endpoint is called to obtain
predictions and explanations.
|
com.google.cloud.aiplatform.v1beta1.Endpoint.Builder |
Models are deployed into it, and afterwards Endpoint is called to obtain
predictions and explanations.
|
com.google.cloud.aiplatform.v1beta1.EndpointName |
|
com.google.cloud.aiplatform.v1beta1.EndpointName.Builder |
Builder for projects/{project}/locations/{location}/endpoints/{endpoint}. |
com.google.cloud.aiplatform.v1beta1.EndpointName.ProjectLocationPublisherModelBuilder |
Builder for projects/{project}/locations/{location}/publishers/{publisher}/models/{model}. |
com.google.cloud.aiplatform.v1beta1.EndpointProto |
|
com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListEndpointsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListEndpointsPage |
|
com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListEndpointsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.EndpointServiceGrpc |
A service for managing Vertex AI's Endpoints.
|
com.google.cloud.aiplatform.v1beta1.EndpointServiceGrpc.EndpointServiceImplBase |
Base class for the server implementation of the service EndpointService.
A service for managing Vertex AI's Endpoints. |
com.google.cloud.aiplatform.v1beta1.EndpointServiceProto |
|
com.google.cloud.aiplatform.v1beta1.EndpointServiceSettings.Builder |
Builder for EndpointServiceSettings. |
com.google.cloud.aiplatform.v1beta1.EntityIdSelector |
Selector for entityId. Getting ids from the given source.
|
com.google.cloud.aiplatform.v1beta1.EntityIdSelector.Builder |
Selector for entityId. Getting ids from the given source.
|
com.google.cloud.aiplatform.v1beta1.EntityType |
An entity type is a type of object in a system that needs to be modeled and
have stored information about. For example, driver is an entity type, and
driver0 is an instance of an entity type driver. |
com.google.cloud.aiplatform.v1beta1.EntityType.Builder |
An entity type is a type of object in a system that needs to be modeled and
have stored information about. For example, driver is an entity type, and
driver0 is an instance of an entity type driver. |
com.google.cloud.aiplatform.v1beta1.EntityTypeName |
|
com.google.cloud.aiplatform.v1beta1.EntityTypeName.Builder |
Builder for
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}. |
com.google.cloud.aiplatform.v1beta1.EntityTypeProto |
|
com.google.cloud.aiplatform.v1beta1.EnvVar |
Represents an environment variable present in a Container or Python Module.
|
com.google.cloud.aiplatform.v1beta1.EnvVar.Builder |
Represents an environment variable present in a Container or Python Module.
|
com.google.cloud.aiplatform.v1beta1.EnvVarProto |
|
com.google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation |
Model error analysis for each annotation.
|
com.google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation.AttributedItem |
Attributed items for a given annotation, typically representing neighbors
from the training sets constrained by the query type.
|
com.google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation.AttributedItem.Builder |
Attributed items for a given annotation, typically representing neighbors
from the training sets constrained by the query type.
|
com.google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation.Builder |
Model error analysis for each annotation.
|
com.google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest |
Request message for EvaluationService.EvaluateInstances.
|
com.google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.Builder |
Request message for EvaluationService.EvaluateInstances.
|
com.google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse |
Response message for EvaluationService.EvaluateInstances.
|
com.google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.Builder |
Response message for EvaluationService.EvaluateInstances.
|
com.google.cloud.aiplatform.v1beta1.EvaluatedAnnotation |
True positive, false positive, or false negative.
EvaluatedAnnotation is only available under ModelEvaluationSlice with slice |
com.google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.Builder |
True positive, false positive, or false negative.
EvaluatedAnnotation is only available under ModelEvaluationSlice with slice |
com.google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation |
Explanation result of the prediction produced by the Model.
|
com.google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.Builder |
Explanation result of the prediction produced by the Model.
|
com.google.cloud.aiplatform.v1beta1.EvaluatedAnnotationProto |
|
com.google.cloud.aiplatform.v1beta1.EvaluationServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.EvaluationServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.EvaluationServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.EvaluationServiceGrpc |
Vertex AI Online Evaluation Service.
|
com.google.cloud.aiplatform.v1beta1.EvaluationServiceGrpc.EvaluationServiceImplBase |
Base class for the server implementation of the service EvaluationService.
Vertex AI Online Evaluation Service. |
com.google.cloud.aiplatform.v1beta1.EvaluationServiceProto |
|
com.google.cloud.aiplatform.v1beta1.EvaluationServiceSettings.Builder |
Builder for EvaluationServiceSettings. |
com.google.cloud.aiplatform.v1beta1.Event |
An edge describing the relationship between an Artifact and an Execution in
a lineage graph.
|
com.google.cloud.aiplatform.v1beta1.Event.Builder |
An edge describing the relationship between an Artifact and an Execution in
a lineage graph.
|
com.google.cloud.aiplatform.v1beta1.EventProto |
|
com.google.cloud.aiplatform.v1beta1.ExactMatchInput |
Input for exact match metric.
|
com.google.cloud.aiplatform.v1beta1.ExactMatchInput.Builder |
Input for exact match metric.
|
com.google.cloud.aiplatform.v1beta1.ExactMatchInstance |
Spec for exact match instance.
|
com.google.cloud.aiplatform.v1beta1.ExactMatchInstance.Builder |
Spec for exact match instance.
|
com.google.cloud.aiplatform.v1beta1.ExactMatchMetricValue |
Exact match metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.ExactMatchMetricValue.Builder |
Exact match metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.ExactMatchResults |
Results for exact match metric.
|
com.google.cloud.aiplatform.v1beta1.ExactMatchResults.Builder |
Results for exact match metric.
|
com.google.cloud.aiplatform.v1beta1.ExactMatchSpec |
Spec for exact match metric - returns 1 if prediction and reference exactly
matches, otherwise 0.
|
com.google.cloud.aiplatform.v1beta1.ExactMatchSpec.Builder |
Spec for exact match metric - returns 1 if prediction and reference exactly
matches, otherwise 0.
|
com.google.cloud.aiplatform.v1beta1.Examples |
Example-based explainability that returns the nearest neighbors from the
provided dataset.
|
com.google.cloud.aiplatform.v1beta1.Examples.Builder |
Example-based explainability that returns the nearest neighbors from the
provided dataset.
|
com.google.cloud.aiplatform.v1beta1.Examples.ExampleGcsSource |
The Cloud Storage input instances.
|
com.google.cloud.aiplatform.v1beta1.Examples.ExampleGcsSource.Builder |
The Cloud Storage input instances.
|
com.google.cloud.aiplatform.v1beta1.ExamplesOverride |
Overrides for example-based explanations.
|
com.google.cloud.aiplatform.v1beta1.ExamplesOverride.Builder |
Overrides for example-based explanations.
|
com.google.cloud.aiplatform.v1beta1.ExamplesRestrictionsNamespace |
Restrictions namespace for example-based explanations overrides.
|
com.google.cloud.aiplatform.v1beta1.ExamplesRestrictionsNamespace.Builder |
Restrictions namespace for example-based explanations overrides.
|
com.google.cloud.aiplatform.v1beta1.ExecuteExtensionRequest |
Request message for
ExtensionExecutionService.ExecuteExtension.
|
com.google.cloud.aiplatform.v1beta1.ExecuteExtensionRequest.Builder |
Request message for
ExtensionExecutionService.ExecuteExtension.
|
com.google.cloud.aiplatform.v1beta1.ExecuteExtensionResponse |
Response message for
ExtensionExecutionService.ExecuteExtension.
|
com.google.cloud.aiplatform.v1beta1.ExecuteExtensionResponse.Builder |
Response message for
ExtensionExecutionService.ExecuteExtension.
|
com.google.cloud.aiplatform.v1beta1.Execution |
Instance of a general execution.
|
com.google.cloud.aiplatform.v1beta1.Execution.Builder |
Instance of a general execution.
|
com.google.cloud.aiplatform.v1beta1.ExecutionName |
|
com.google.cloud.aiplatform.v1beta1.ExecutionName.Builder |
Builder for
projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}. |
com.google.cloud.aiplatform.v1beta1.ExecutionProto |
|
com.google.cloud.aiplatform.v1beta1.ExplainRequest |
Request message for
PredictionService.Explain.
|
com.google.cloud.aiplatform.v1beta1.ExplainRequest.Builder |
Request message for
PredictionService.Explain.
|
com.google.cloud.aiplatform.v1beta1.ExplainResponse |
Response message for
PredictionService.Explain.
|
com.google.cloud.aiplatform.v1beta1.ExplainResponse.Builder |
Response message for
PredictionService.Explain.
|
com.google.cloud.aiplatform.v1beta1.ExplainResponse.ConcurrentExplanation |
This message is a wrapper grouping Concurrent Explanations.
|
com.google.cloud.aiplatform.v1beta1.ExplainResponse.ConcurrentExplanation.Builder |
This message is a wrapper grouping Concurrent Explanations.
|
com.google.cloud.aiplatform.v1beta1.Explanation |
Explanation of a prediction (provided in
PredictResponse.predictions)
produced by the Model on a given |
com.google.cloud.aiplatform.v1beta1.Explanation.Builder |
Explanation of a prediction (provided in
PredictResponse.predictions)
produced by the Model on a given |
com.google.cloud.aiplatform.v1beta1.ExplanationMetadata |
Metadata describing the Model's input and output for explanation.
|
com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.Builder |
Metadata describing the Model's input and output for explanation.
|
com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata |
Metadata of the input of a feature.
Fields other than |
com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Builder |
Metadata of the input of a feature.
Fields other than |
com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.FeatureValueDomain |
Domain details of the input feature value. Provides numeric information
about the feature, such as its range (min, max). If the feature has been
pre-processed, for example with z-scoring, then it provides information |
com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder |
Domain details of the input feature value. Provides numeric information
about the feature, such as its range (min, max). If the feature has been
pre-processed, for example with z-scoring, then it provides information |
com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization |
Visualization configurations for image explanation.
|
com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Builder |
Visualization configurations for image explanation.
|
com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.OutputMetadata |
Metadata of the prediction output to be explained.
|
com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.OutputMetadata.Builder |
Metadata of the prediction output to be explained.
|
com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride |
The
ExplanationMetadata
entries that can be overridden at online |
com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder |
The
ExplanationMetadata
entries that can be overridden at online |
com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride |
The input
metadata
entries to be overridden. |
com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride.Builder |
The input
metadata
entries to be overridden. |
com.google.cloud.aiplatform.v1beta1.ExplanationMetadataProto |
|
com.google.cloud.aiplatform.v1beta1.ExplanationParameters |
Parameters to configure explaining for Model's predictions.
|
com.google.cloud.aiplatform.v1beta1.ExplanationParameters.Builder |
Parameters to configure explaining for Model's predictions.
|
com.google.cloud.aiplatform.v1beta1.ExplanationProto |
|
com.google.cloud.aiplatform.v1beta1.ExplanationSpec |
Specification of Model explanation.
|
com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder |
Specification of Model explanation.
|
com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride |
The ExplanationSpec
entries that can be overridden at online
explanation time. |
com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder |
The ExplanationSpec
entries that can be overridden at online
explanation time. |
com.google.cloud.aiplatform.v1beta1.ExportDataConfig |
Describes what part of the Dataset is to be exported, the destination of
the export and how to export.
|
com.google.cloud.aiplatform.v1beta1.ExportDataConfig.Builder |
Describes what part of the Dataset is to be exported, the destination of
the export and how to export.
|
com.google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata |
Runtime operation information for
DatasetService.ExportData.
|
com.google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.Builder |
Runtime operation information for
DatasetService.ExportData.
|
com.google.cloud.aiplatform.v1beta1.ExportDataRequest |
Request message for
DatasetService.ExportData.
|
com.google.cloud.aiplatform.v1beta1.ExportDataRequest.Builder |
Request message for
DatasetService.ExportData.
|
com.google.cloud.aiplatform.v1beta1.ExportDataResponse |
Response message for
DatasetService.ExportData.
|
com.google.cloud.aiplatform.v1beta1.ExportDataResponse.Builder |
Response message for
DatasetService.ExportData.
|
com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata |
Details of operations that exports Features values.
|
com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.Builder |
Details of operations that exports Features values.
|
com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest |
Request message for
FeaturestoreService.ExportFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.Builder |
Request message for
FeaturestoreService.ExportFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport |
Describes exporting all historical Feature values of all entities of the
EntityType between [start_time, end_time].
|
com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.Builder |
Describes exporting all historical Feature values of all entities of the
EntityType between [start_time, end_time].
|
com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport |
Describes exporting the latest Feature values of all entities of the
EntityType between [start_time, snapshot_time].
|
com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.Builder |
Describes exporting the latest Feature values of all entities of the
EntityType between [start_time, snapshot_time].
|
com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse |
Response message for
FeaturestoreService.ExportFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse.Builder |
Response message for
FeaturestoreService.ExportFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ExportFractionSplit |
Assigns the input data to training, validation, and test sets as per the
given fractions. Any of training_fraction , validation_fraction and
test_fraction may optionally be provided, they must sum to up to 1. If the |
com.google.cloud.aiplatform.v1beta1.ExportFractionSplit.Builder |
Assigns the input data to training, validation, and test sets as per the
given fractions. Any of training_fraction , validation_fraction and
test_fraction may optionally be provided, they must sum to up to 1. If the |
com.google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata |
Details of
ModelService.ExportModel
operation. |
com.google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.Builder |
Details of
ModelService.ExportModel
operation. |
com.google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.OutputInfo |
Further describes the output of the ExportModel. Supplements
ExportModelRequest.OutputConfig.
|
com.google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.OutputInfo.Builder |
Further describes the output of the ExportModel. Supplements
ExportModelRequest.OutputConfig.
|
com.google.cloud.aiplatform.v1beta1.ExportModelRequest |
Request message for
ModelService.ExportModel.
|
com.google.cloud.aiplatform.v1beta1.ExportModelRequest.Builder |
Request message for
ModelService.ExportModel.
|
com.google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig |
Output configuration for the Model export.
|
com.google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig.Builder |
Output configuration for the Model export.
|
com.google.cloud.aiplatform.v1beta1.ExportModelResponse |
Response message of
ModelService.ExportModel
operation. |
com.google.cloud.aiplatform.v1beta1.ExportModelResponse.Builder |
Response message of
ModelService.ExportModel
operation. |
com.google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest |
Request message for
TensorboardService.ExportTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest.Builder |
Request message for
TensorboardService.ExportTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse |
Response message for
TensorboardService.ExportTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse.Builder |
Response message for
TensorboardService.ExportTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.Extension |
Extensions are tools for large language models to access external data, run
computations, etc.
|
com.google.cloud.aiplatform.v1beta1.Extension.Builder |
Extensions are tools for large language models to access external data, run
computations, etc.
|
com.google.cloud.aiplatform.v1beta1.ExtensionExecutionServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ExtensionExecutionServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.ExtensionExecutionServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ExtensionExecutionServiceGrpc |
A service for Extension execution.
|
com.google.cloud.aiplatform.v1beta1.ExtensionExecutionServiceGrpc.ExtensionExecutionServiceImplBase |
Base class for the server implementation of the service ExtensionExecutionService.
A service for Extension execution. |
com.google.cloud.aiplatform.v1beta1.ExtensionExecutionServiceProto |
|
com.google.cloud.aiplatform.v1beta1.ExtensionExecutionServiceSettings.Builder |
Builder for ExtensionExecutionServiceSettings. |
com.google.cloud.aiplatform.v1beta1.ExtensionManifest |
Manifest spec of an Extension needed for runtime execution.
|
com.google.cloud.aiplatform.v1beta1.ExtensionManifest.ApiSpec |
The API specification shown to the LLM.
|
com.google.cloud.aiplatform.v1beta1.ExtensionManifest.ApiSpec.Builder |
The API specification shown to the LLM.
|
com.google.cloud.aiplatform.v1beta1.ExtensionManifest.Builder |
Manifest spec of an Extension needed for runtime execution.
|
com.google.cloud.aiplatform.v1beta1.ExtensionName |
|
com.google.cloud.aiplatform.v1beta1.ExtensionName.Builder |
Builder for projects/{project}/locations/{location}/extensions/{extension}. |
com.google.cloud.aiplatform.v1beta1.ExtensionOperation |
Operation of an extension.
|
com.google.cloud.aiplatform.v1beta1.ExtensionOperation.Builder |
Operation of an extension.
|
com.google.cloud.aiplatform.v1beta1.ExtensionPrivateServiceConnectConfig |
PrivateExtensionConfig configuration for the extension.
|
com.google.cloud.aiplatform.v1beta1.ExtensionPrivateServiceConnectConfig.Builder |
PrivateExtensionConfig configuration for the extension.
|
com.google.cloud.aiplatform.v1beta1.ExtensionProto |
|
com.google.cloud.aiplatform.v1beta1.ExtensionRegistryServiceClient.ListExtensionsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ExtensionRegistryServiceClient.ListExtensionsPage |
|
com.google.cloud.aiplatform.v1beta1.ExtensionRegistryServiceClient.ListExtensionsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ExtensionRegistryServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ExtensionRegistryServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.ExtensionRegistryServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ExtensionRegistryServiceGrpc |
A service for managing Vertex AI's Extension registry.
|
com.google.cloud.aiplatform.v1beta1.ExtensionRegistryServiceGrpc.ExtensionRegistryServiceImplBase |
Base class for the server implementation of the service ExtensionRegistryService.
A service for managing Vertex AI's Extension registry. |
com.google.cloud.aiplatform.v1beta1.ExtensionRegistryServiceProto |
|
com.google.cloud.aiplatform.v1beta1.ExtensionRegistryServiceSettings.Builder |
Builder for ExtensionRegistryServiceSettings. |
com.google.cloud.aiplatform.v1beta1.Feature |
Feature Metadata information.
For example, color is a feature that describes an apple.
|
com.google.cloud.aiplatform.v1beta1.Feature.Builder |
Feature Metadata information.
For example, color is a feature that describes an apple.
|
com.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly |
A list of historical
SnapshotAnalysis
or |
com.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Builder |
A list of historical
SnapshotAnalysis
or |
com.google.cloud.aiplatform.v1beta1.FeatureGroup |
Vertex AI Feature Group.
|
com.google.cloud.aiplatform.v1beta1.FeatureGroup.BigQuery |
Input source type for BigQuery Tables and Views.
|
com.google.cloud.aiplatform.v1beta1.FeatureGroup.BigQuery.Builder |
Input source type for BigQuery Tables and Views.
|
com.google.cloud.aiplatform.v1beta1.FeatureGroup.Builder |
Vertex AI Feature Group.
|
com.google.cloud.aiplatform.v1beta1.FeatureGroupName |
|
com.google.cloud.aiplatform.v1beta1.FeatureGroupName.Builder |
Builder for projects/{project}/locations/{location}/featureGroups/{feature_group}. |
com.google.cloud.aiplatform.v1beta1.FeatureGroupProto |
|
com.google.cloud.aiplatform.v1beta1.FeatureMonitoringStatsProto |
|
com.google.cloud.aiplatform.v1beta1.FeatureName |
|
com.google.cloud.aiplatform.v1beta1.FeatureName.Builder |
Builder for
projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}. |
com.google.cloud.aiplatform.v1beta1.FeatureName.ProjectLocationFeatureGroupFeatureBuilder |
Builder for
projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}. |
com.google.cloud.aiplatform.v1beta1.FeatureNoiseSigma |
Noise sigma by features. Noise sigma represents the standard deviation of the
gaussian kernel that will be used to add noise to interpolated inputs prior
to computing gradients. |
com.google.cloud.aiplatform.v1beta1.FeatureNoiseSigma.Builder |
Noise sigma by features. Noise sigma represents the standard deviation of the
gaussian kernel that will be used to add noise to interpolated inputs prior
to computing gradients. |
com.google.cloud.aiplatform.v1beta1.FeatureNoiseSigma.NoiseSigmaForFeature |
Noise sigma for a single feature.
|
com.google.cloud.aiplatform.v1beta1.FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
Noise sigma for a single feature.
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore |
Vertex AI Feature Online Store provides a centralized repository for serving
ML features and embedding indexes at low latency. The Feature Online Store is
a top-level container. |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Bigtable |
Protobuf type google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Bigtable |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Bigtable.AutoScaling |
Protobuf type google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Bigtable.AutoScaling |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Bigtable.AutoScaling.Builder |
Protobuf type
google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Bigtable.AutoScaling |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Bigtable.Builder |
Protobuf type google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Bigtable |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Builder |
Vertex AI Feature Online Store provides a centralized repository for serving
ML features and embedding indexes at low latency. The Feature Online Store is
a top-level container. |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.DedicatedServingEndpoint |
The dedicated serving endpoint for this FeatureOnlineStore. Only need to
set when you choose Optimized storage type. Public endpoint is provisioned
by default. |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.DedicatedServingEndpoint.Builder |
The dedicated serving endpoint for this FeatureOnlineStore. Only need to
set when you choose Optimized storage type. Public endpoint is provisioned
by default. |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.EmbeddingManagement |
Deprecated: This sub message is no longer needed anymore and embedding
management is automatically enabled when specifying Optimized storage type.
Contains settings for embedding management. |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.EmbeddingManagement.Builder |
Deprecated: This sub message is no longer needed anymore and embedding
management is automatically enabled when specifying Optimized storage type.
Contains settings for embedding management. |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Optimized |
Optimized storage type
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStore.Optimized.Builder |
Optimized storage type
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListFeatureOnlineStoresFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListFeatureOnlineStoresPage |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListFeatureOnlineStoresPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewSyncsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewSyncsPage |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewSyncsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewsPage |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceGrpc |
The service that handles CRUD and List for resources for
FeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceGrpc.FeatureOnlineStoreAdminServiceImplBase |
Base class for the server implementation of the service FeatureOnlineStoreAdminService.
The service that handles CRUD and List for resources for |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceProto |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminServiceSettings.Builder |
Builder for FeatureOnlineStoreAdminServiceSettings. |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreName |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreName.Builder |
Builder for projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}. |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreProto |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreServiceGrpc |
A service for fetching feature values from the online store.
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreServiceGrpc.FeatureOnlineStoreServiceImplBase |
Base class for the server implementation of the service FeatureOnlineStoreService.
A service for fetching feature values from the online store. |
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreServiceProto |
|
com.google.cloud.aiplatform.v1beta1.FeatureOnlineStoreServiceSettings.Builder |
Builder for FeatureOnlineStoreServiceSettings. |
com.google.cloud.aiplatform.v1beta1.FeatureProto |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceClient.ListFeatureGroupsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceClient.ListFeatureGroupsPage |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceClient.ListFeatureGroupsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceClient.ListFeaturesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceClient.ListFeaturesPage |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceClient.ListFeaturesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceGrpc |
The service that handles CRUD and List for resources for
FeatureRegistry.
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceGrpc.FeatureRegistryServiceImplBase |
Base class for the server implementation of the service FeatureRegistryService.
The service that handles CRUD and List for resources for |
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceProto |
|
com.google.cloud.aiplatform.v1beta1.FeatureRegistryServiceSettings.Builder |
Builder for FeatureRegistryServiceSettings. |
com.google.cloud.aiplatform.v1beta1.FeatureSelector |
Selector for Features of an EntityType.
|
com.google.cloud.aiplatform.v1beta1.FeatureSelector.Builder |
Selector for Features of an EntityType.
|
com.google.cloud.aiplatform.v1beta1.FeatureSelectorProto |
|
com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly |
Stats and Anomaly generated at specific timestamp for specific Feature.
The start_time and end_time are used to define the time range of the dataset
that current stats belongs to, e.g. prediction traffic is bucketed into |
com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.Builder |
Stats and Anomaly generated at specific timestamp for specific Feature.
The start_time and end_time are used to define the time range of the dataset
that current stats belongs to, e.g. prediction traffic is bucketed into |
com.google.cloud.aiplatform.v1beta1.FeatureValue |
Value for a feature.
|
com.google.cloud.aiplatform.v1beta1.FeatureValue.Builder |
Value for a feature.
|
com.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata |
Metadata of feature value.
|
com.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.Builder |
Metadata of feature value.
|
com.google.cloud.aiplatform.v1beta1.FeatureValueDestination |
A destination location for Feature values and format.
|
com.google.cloud.aiplatform.v1beta1.FeatureValueDestination.Builder |
A destination location for Feature values and format.
|
com.google.cloud.aiplatform.v1beta1.FeatureValueList |
Container for list of values.
|
com.google.cloud.aiplatform.v1beta1.FeatureValueList.Builder |
Container for list of values.
|
com.google.cloud.aiplatform.v1beta1.FeatureView |
FeatureView is representation of values that the FeatureOnlineStore will
serve based on its syncConfig.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.BigQuerySource |
Protobuf type google.cloud.aiplatform.v1beta1.FeatureView.BigQuerySource |
com.google.cloud.aiplatform.v1beta1.FeatureView.BigQuerySource.Builder |
Protobuf type google.cloud.aiplatform.v1beta1.FeatureView.BigQuerySource |
com.google.cloud.aiplatform.v1beta1.FeatureView.Builder |
FeatureView is representation of values that the FeatureOnlineStore will
serve based on its syncConfig.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource |
A Feature Registry source for features that need to be synced to Online
Store.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource.Builder |
A Feature Registry source for features that need to be synced to Online
Store.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource.FeatureGroup |
Features belonging to a single feature group that will be
synced to Online Store.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.FeatureRegistrySource.FeatureGroup.Builder |
Features belonging to a single feature group that will be
synced to Online Store.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.IndexConfig |
Configuration for vector indexing.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.IndexConfig.BruteForceConfig |
Configuration options for using brute force search.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.IndexConfig.BruteForceConfig.Builder |
Configuration options for using brute force search.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.IndexConfig.Builder |
Configuration for vector indexing.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.IndexConfig.TreeAHConfig |
Configuration options for the tree-AH algorithm.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.IndexConfig.TreeAHConfig.Builder |
Configuration options for the tree-AH algorithm.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.SyncConfig |
Configuration for Sync. Only one option is set.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.SyncConfig.Builder |
Configuration for Sync. Only one option is set.
|
com.google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig |
Deprecated. Use
IndexConfig
instead. |
com.google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.BruteForceConfig |
Protobuf type
google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.BruteForceConfig |
com.google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.BruteForceConfig.Builder |
Protobuf type
google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.BruteForceConfig |
com.google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.Builder |
Deprecated. Use
IndexConfig
instead. |
com.google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.TreeAHConfig |
Protobuf type
google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.TreeAHConfig |
com.google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.TreeAHConfig.Builder |
Protobuf type
google.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.TreeAHConfig |
com.google.cloud.aiplatform.v1beta1.FeatureViewDataKey |
Lookup key for a feature view.
|
com.google.cloud.aiplatform.v1beta1.FeatureViewDataKey.Builder |
Lookup key for a feature view.
|
com.google.cloud.aiplatform.v1beta1.FeatureViewDataKey.CompositeKey |
ID that is comprised from several parts (columns).
|
com.google.cloud.aiplatform.v1beta1.FeatureViewDataKey.CompositeKey.Builder |
ID that is comprised from several parts (columns).
|
com.google.cloud.aiplatform.v1beta1.FeatureViewName |
|
com.google.cloud.aiplatform.v1beta1.FeatureViewName.Builder |
Builder for
projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}. |
com.google.cloud.aiplatform.v1beta1.FeatureViewProto |
|
com.google.cloud.aiplatform.v1beta1.FeatureViewSync |
FeatureViewSync is a representation of sync operation which copies data from
data source to Feature View in Online Store.
|
com.google.cloud.aiplatform.v1beta1.FeatureViewSync.Builder |
FeatureViewSync is a representation of sync operation which copies data from
data source to Feature View in Online Store.
|
com.google.cloud.aiplatform.v1beta1.FeatureViewSync.SyncSummary |
Summary from the Sync job. For continuous syncs, the summary is updated
periodically. For batch syncs, it gets updated on completion of the sync.
|
com.google.cloud.aiplatform.v1beta1.FeatureViewSync.SyncSummary.Builder |
Summary from the Sync job. For continuous syncs, the summary is updated
periodically. For batch syncs, it gets updated on completion of the sync.
|
com.google.cloud.aiplatform.v1beta1.FeatureViewSyncName |
|
com.google.cloud.aiplatform.v1beta1.FeatureViewSyncName.Builder |
Builder for
projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/feature_view_sync. |
com.google.cloud.aiplatform.v1beta1.FeatureViewSyncProto |
|
com.google.cloud.aiplatform.v1beta1.Featurestore |
Vertex AI Feature Store provides a centralized repository for organizing,
storing, and serving ML features. The Featurestore is a top-level container
for your features and their values. |
com.google.cloud.aiplatform.v1beta1.Featurestore.Builder |
Vertex AI Feature Store provides a centralized repository for organizing,
storing, and serving ML features. The Featurestore is a top-level container
for your features and their values. |
com.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig |
OnlineServingConfig specifies the details for provisioning online serving
resources.
|
com.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Builder |
OnlineServingConfig specifies the details for provisioning online serving
resources.
|
com.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling |
Online serving scaling configuration. If min_node_count and
max_node_count are set to the same value, the cluster will be configured
with the fixed number of node (no auto-scaling). |
com.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.Builder |
Online serving scaling configuration. If min_node_count and
max_node_count are set to the same value, the cluster will be configured
with the fixed number of node (no auto-scaling). |
com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig |
Configuration of how features in Featurestore are monitored.
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.Builder |
Configuration of how features in Featurestore are monitored.
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis |
Configuration of the Featurestore's ImportFeature Analysis Based
Monitoring. This type of analysis generates statistics for values of each
Feature imported by every |
com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder |
Configuration of the Featurestore's ImportFeature Analysis Based
Monitoring. This type of analysis generates statistics for values of each
Feature imported by every |
com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis |
Configuration of the Featurestore's Snapshot Analysis Based Monitoring.
This type of analysis generates statistics for each Feature based on a
snapshot of the latest feature value of each entities every |
com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder |
Configuration of the Featurestore's Snapshot Analysis Based Monitoring.
This type of analysis generates statistics for each Feature based on a
snapshot of the latest feature value of each entities every |
com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig |
The config for Featurestore Monitoring threshold.
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.Builder |
The config for Featurestore Monitoring threshold.
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringProto |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreName |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreName.Builder |
Builder for projects/{project}/locations/{location}/featurestores/{featurestore}. |
com.google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServiceProto |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingServiceGrpc |
A service for serving online feature values.
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingServiceGrpc.FeaturestoreOnlineServingServiceImplBase |
Base class for the server implementation of the service FeaturestoreOnlineServingService.
A service for serving online feature values. |
com.google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingServiceSettings.Builder |
Builder for FeaturestoreOnlineServingServiceSettings. |
com.google.cloud.aiplatform.v1beta1.FeaturestoreProto |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListEntityTypesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListEntityTypesPage |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListEntityTypesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListFeaturesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListFeaturesPage |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListFeaturesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListFeaturestoresFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListFeaturestoresPage |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListFeaturestoresPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.SearchFeaturesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.SearchFeaturesPage |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient.SearchFeaturesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceGrpc |
The service that handles CRUD and List for resources for Featurestore.
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceGrpc.FeaturestoreServiceImplBase |
Base class for the server implementation of the service FeaturestoreService.
The service that handles CRUD and List for resources for Featurestore. |
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceProto |
|
com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceSettings.Builder |
Builder for FeaturestoreServiceSettings. |
com.google.cloud.aiplatform.v1beta1.FetchFeatureValuesRequest |
Request message for
FeatureOnlineStoreService.FetchFeatureValues.
All the features under the requested feature view will be returned. |
com.google.cloud.aiplatform.v1beta1.FetchFeatureValuesRequest.Builder |
Request message for
FeatureOnlineStoreService.FetchFeatureValues.
All the features under the requested feature view will be returned. |
com.google.cloud.aiplatform.v1beta1.FetchFeatureValuesResponse |
Response message for
FeatureOnlineStoreService.FetchFeatureValues
|
com.google.cloud.aiplatform.v1beta1.FetchFeatureValuesResponse.Builder |
Response message for
FeatureOnlineStoreService.FetchFeatureValues
|
com.google.cloud.aiplatform.v1beta1.FetchFeatureValuesResponse.FeatureNameValuePairList |
Response structure in the format of key (feature name) and (feature) value
pair.
|
com.google.cloud.aiplatform.v1beta1.FetchFeatureValuesResponse.FeatureNameValuePairList.Builder |
Response structure in the format of key (feature name) and (feature) value
pair.
|
com.google.cloud.aiplatform.v1beta1.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair |
Feature name & value pair.
|
com.google.cloud.aiplatform.v1beta1.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair.Builder |
Feature name & value pair.
|
com.google.cloud.aiplatform.v1beta1.FileData |
URI based data.
|
com.google.cloud.aiplatform.v1beta1.FileData.Builder |
URI based data.
|
com.google.cloud.aiplatform.v1beta1.FilterSplit |
Assigns input data to training, validation, and test sets based on the given
filters, data pieces not matched by any filter are ignored. Currently only
supported for Datasets containing DataItems. |
com.google.cloud.aiplatform.v1beta1.FilterSplit.Builder |
Assigns input data to training, validation, and test sets based on the given
filters, data pieces not matched by any filter are ignored. Currently only
supported for Datasets containing DataItems. |
com.google.cloud.aiplatform.v1beta1.FindNeighborsRequest |
The request message for
MatchService.FindNeighbors.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsRequest.Builder |
The request message for
MatchService.FindNeighbors.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsRequest.Query |
A query to find a number of the nearest neighbors (most similar vectors)
of a vector.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsRequest.Query.Builder |
A query to find a number of the nearest neighbors (most similar vectors)
of a vector.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsRequest.Query.RRF |
Parameters for RRF algorithm that combines search results.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsRequest.Query.RRF.Builder |
Parameters for RRF algorithm that combines search results.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsResponse |
The response message for
MatchService.FindNeighbors.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsResponse.Builder |
The response message for
MatchService.FindNeighbors.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsResponse.NearestNeighbors |
Nearest neighbors for one query.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsResponse.NearestNeighbors.Builder |
Nearest neighbors for one query.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsResponse.Neighbor |
A neighbor of the query vector.
|
com.google.cloud.aiplatform.v1beta1.FindNeighborsResponse.Neighbor.Builder |
A neighbor of the query vector.
|
com.google.cloud.aiplatform.v1beta1.FluencyInput |
Input for fluency metric.
|
com.google.cloud.aiplatform.v1beta1.FluencyInput.Builder |
Input for fluency metric.
|
com.google.cloud.aiplatform.v1beta1.FluencyInstance |
Spec for fluency instance.
|
com.google.cloud.aiplatform.v1beta1.FluencyInstance.Builder |
Spec for fluency instance.
|
com.google.cloud.aiplatform.v1beta1.FluencyResult |
Spec for fluency result.
|
com.google.cloud.aiplatform.v1beta1.FluencyResult.Builder |
Spec for fluency result.
|
com.google.cloud.aiplatform.v1beta1.FluencySpec |
Spec for fluency score metric.
|
com.google.cloud.aiplatform.v1beta1.FluencySpec.Builder |
Spec for fluency score metric.
|
com.google.cloud.aiplatform.v1beta1.FractionSplit |
Assigns the input data to training, validation, and test sets as per the
given fractions. Any of training_fraction , validation_fraction and
test_fraction may optionally be provided, they must sum to up to 1. If the |
com.google.cloud.aiplatform.v1beta1.FractionSplit.Builder |
Assigns the input data to training, validation, and test sets as per the
given fractions. Any of training_fraction , validation_fraction and
test_fraction may optionally be provided, they must sum to up to 1. If the |
com.google.cloud.aiplatform.v1beta1.FulfillmentInput |
Input for fulfillment metric.
|
com.google.cloud.aiplatform.v1beta1.FulfillmentInput.Builder |
Input for fulfillment metric.
|
com.google.cloud.aiplatform.v1beta1.FulfillmentInstance |
Spec for fulfillment instance.
|
com.google.cloud.aiplatform.v1beta1.FulfillmentInstance.Builder |
Spec for fulfillment instance.
|
com.google.cloud.aiplatform.v1beta1.FulfillmentResult |
Spec for fulfillment result.
|
com.google.cloud.aiplatform.v1beta1.FulfillmentResult.Builder |
Spec for fulfillment result.
|
com.google.cloud.aiplatform.v1beta1.FulfillmentSpec |
Spec for fulfillment metric.
|
com.google.cloud.aiplatform.v1beta1.FulfillmentSpec.Builder |
Spec for fulfillment metric.
|
com.google.cloud.aiplatform.v1beta1.FunctionCall |
A predicted [FunctionCall] returned from the model that contains a string
representing the [FunctionDeclaration.name] and a structured JSON object
containing the parameters and their values. |
com.google.cloud.aiplatform.v1beta1.FunctionCall.Builder |
A predicted [FunctionCall] returned from the model that contains a string
representing the [FunctionDeclaration.name] and a structured JSON object
containing the parameters and their values. |
com.google.cloud.aiplatform.v1beta1.FunctionCallingConfig |
Function calling config.
|
com.google.cloud.aiplatform.v1beta1.FunctionCallingConfig.Builder |
Function calling config.
|
com.google.cloud.aiplatform.v1beta1.FunctionDeclaration |
Structured representation of a function declaration as defined by the
OpenAPI 3.0 specification. Included
in this declaration are the function name and parameters. This |
com.google.cloud.aiplatform.v1beta1.FunctionDeclaration.Builder |
Structured representation of a function declaration as defined by the
OpenAPI 3.0 specification. Included
in this declaration are the function name and parameters. This |
com.google.cloud.aiplatform.v1beta1.FunctionResponse |
The result output from a [FunctionCall] that contains a string representing
the [FunctionDeclaration.name] and a structured JSON object containing any
output from the function is used as context to the model. This should contain |
com.google.cloud.aiplatform.v1beta1.FunctionResponse.Builder |
The result output from a [FunctionCall] that contains a string representing
the [FunctionDeclaration.name] and a structured JSON object containing any
output from the function is used as context to the model. This should contain |
com.google.cloud.aiplatform.v1beta1.GcsDestination |
The Google Cloud Storage location where the output is to be written to.
|
com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder |
The Google Cloud Storage location where the output is to be written to.
|
com.google.cloud.aiplatform.v1beta1.GcsSource |
The Google Cloud Storage location for the input content.
|
com.google.cloud.aiplatform.v1beta1.GcsSource.Builder |
The Google Cloud Storage location for the input content.
|
com.google.cloud.aiplatform.v1beta1.GenAiCacheServiceClient.ListCachedContentsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.GenAiCacheServiceClient.ListCachedContentsPage |
|
com.google.cloud.aiplatform.v1beta1.GenAiCacheServiceClient.ListCachedContentsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.GenAiCacheServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.GenAiCacheServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.GenAiCacheServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.GenAiCacheServiceGrpc |
Service for managing Vertex AI's CachedContent resource.
|
com.google.cloud.aiplatform.v1beta1.GenAiCacheServiceGrpc.GenAiCacheServiceImplBase |
Base class for the server implementation of the service GenAiCacheService.
Service for managing Vertex AI's CachedContent resource. |
com.google.cloud.aiplatform.v1beta1.GenAiCacheServiceProto |
|
com.google.cloud.aiplatform.v1beta1.GenAiCacheServiceSettings.Builder |
Builder for GenAiCacheServiceSettings. |
com.google.cloud.aiplatform.v1beta1.GenAiTuningServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.GenAiTuningServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.GenAiTuningServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.GenAiTuningServiceClient.ListTuningJobsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.GenAiTuningServiceClient.ListTuningJobsPage |
|
com.google.cloud.aiplatform.v1beta1.GenAiTuningServiceClient.ListTuningJobsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.GenAiTuningServiceGrpc |
A service for creating and managing GenAI Tuning Jobs.
|
com.google.cloud.aiplatform.v1beta1.GenAiTuningServiceGrpc.GenAiTuningServiceImplBase |
Base class for the server implementation of the service GenAiTuningService.
A service for creating and managing GenAI Tuning Jobs. |
com.google.cloud.aiplatform.v1beta1.GenAiTuningServiceProto |
|
com.google.cloud.aiplatform.v1beta1.GenAiTuningServiceSettings.Builder |
Builder for GenAiTuningServiceSettings. |
com.google.cloud.aiplatform.v1beta1.GenerateContentRequest |
Request message for [PredictionService.GenerateContent].
|
com.google.cloud.aiplatform.v1beta1.GenerateContentRequest.Builder |
Request message for [PredictionService.GenerateContent].
|
com.google.cloud.aiplatform.v1beta1.GenerateContentResponse |
Response message for [PredictionService.GenerateContent].
|
com.google.cloud.aiplatform.v1beta1.GenerateContentResponse.Builder |
Response message for [PredictionService.GenerateContent].
|
com.google.cloud.aiplatform.v1beta1.GenerateContentResponse.PromptFeedback |
Content filter results for a prompt sent in the request.
|
com.google.cloud.aiplatform.v1beta1.GenerateContentResponse.PromptFeedback.Builder |
Content filter results for a prompt sent in the request.
|
com.google.cloud.aiplatform.v1beta1.GenerateContentResponse.UsageMetadata |
Usage metadata about response(s).
|
com.google.cloud.aiplatform.v1beta1.GenerateContentResponse.UsageMetadata.Builder |
Usage metadata about response(s).
|
com.google.cloud.aiplatform.v1beta1.GenerationConfig |
Generation config.
|
com.google.cloud.aiplatform.v1beta1.GenerationConfig.Builder |
Generation config.
|
com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata |
Generic Metadata shared by all operations.
|
com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.Builder |
Generic Metadata shared by all operations.
|
com.google.cloud.aiplatform.v1beta1.GenieSource |
Contains information about the source of the models generated from Generative
AI Studio.
|
com.google.cloud.aiplatform.v1beta1.GenieSource.Builder |
Contains information about the source of the models generated from Generative
AI Studio.
|
com.google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest |
Request message for
DatasetService.GetAnnotationSpec.
|
com.google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.Builder |
Request message for
DatasetService.GetAnnotationSpec.
|
com.google.cloud.aiplatform.v1beta1.GetArtifactRequest |
Request message for
MetadataService.GetArtifact.
|
com.google.cloud.aiplatform.v1beta1.GetArtifactRequest.Builder |
Request message for
MetadataService.GetArtifact.
|
com.google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest |
Request message for
JobService.GetBatchPredictionJob.
|
com.google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest.Builder |
Request message for
JobService.GetBatchPredictionJob.
|
com.google.cloud.aiplatform.v1beta1.GetCachedContentRequest |
Request message for
GenAiCacheService.GetCachedContent.
|
com.google.cloud.aiplatform.v1beta1.GetCachedContentRequest.Builder |
Request message for
GenAiCacheService.GetCachedContent.
|
com.google.cloud.aiplatform.v1beta1.GetContextRequest |
Request message for
MetadataService.GetContext.
|
com.google.cloud.aiplatform.v1beta1.GetContextRequest.Builder |
Request message for
MetadataService.GetContext.
|
com.google.cloud.aiplatform.v1beta1.GetCustomJobRequest |
Request message for
JobService.GetCustomJob.
|
com.google.cloud.aiplatform.v1beta1.GetCustomJobRequest.Builder |
Request message for
JobService.GetCustomJob.
|
com.google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest |
Request message for
JobService.GetDataLabelingJob.
|
com.google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest.Builder |
Request message for
JobService.GetDataLabelingJob.
|
com.google.cloud.aiplatform.v1beta1.GetDatasetRequest |
Request message for
DatasetService.GetDataset.
|
com.google.cloud.aiplatform.v1beta1.GetDatasetRequest.Builder |
Request message for
DatasetService.GetDataset.
|
com.google.cloud.aiplatform.v1beta1.GetDatasetVersionRequest |
Request message for
DatasetService.GetDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.GetDatasetVersionRequest.Builder |
Request message for
DatasetService.GetDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.GetDeploymentResourcePoolRequest |
Request message for GetDeploymentResourcePool method.
|
com.google.cloud.aiplatform.v1beta1.GetDeploymentResourcePoolRequest.Builder |
Request message for GetDeploymentResourcePool method.
|
com.google.cloud.aiplatform.v1beta1.GetEndpointRequest |
Request message for
EndpointService.GetEndpoint
|
com.google.cloud.aiplatform.v1beta1.GetEndpointRequest.Builder |
Request message for
EndpointService.GetEndpoint
|
com.google.cloud.aiplatform.v1beta1.GetEntityTypeRequest |
Request message for
FeaturestoreService.GetEntityType.
|
com.google.cloud.aiplatform.v1beta1.GetEntityTypeRequest.Builder |
Request message for
FeaturestoreService.GetEntityType.
|
com.google.cloud.aiplatform.v1beta1.GetExecutionRequest |
Request message for
MetadataService.GetExecution.
|
com.google.cloud.aiplatform.v1beta1.GetExecutionRequest.Builder |
Request message for
MetadataService.GetExecution.
|
com.google.cloud.aiplatform.v1beta1.GetExtensionRequest |
Request message for
ExtensionRegistryService.GetExtension.
|
com.google.cloud.aiplatform.v1beta1.GetExtensionRequest.Builder |
Request message for
ExtensionRegistryService.GetExtension.
|
com.google.cloud.aiplatform.v1beta1.GetFeatureGroupRequest |
Request message for
FeatureRegistryService.GetFeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.GetFeatureGroupRequest.Builder |
Request message for
FeatureRegistryService.GetFeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.GetFeatureOnlineStoreRequest |
Request message for
FeatureOnlineStoreAdminService.GetFeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.GetFeatureOnlineStoreRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.GetFeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.GetFeatureRequest |
Request message for
FeaturestoreService.GetFeature.
Request message for |
com.google.cloud.aiplatform.v1beta1.GetFeatureRequest.Builder |
Request message for
FeaturestoreService.GetFeature.
Request message for |
com.google.cloud.aiplatform.v1beta1.GetFeatureViewRequest |
Request message for
FeatureOnlineStoreAdminService.GetFeatureView.
|
com.google.cloud.aiplatform.v1beta1.GetFeatureViewRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.GetFeatureView.
|
com.google.cloud.aiplatform.v1beta1.GetFeatureViewSyncRequest |
Request message for
FeatureOnlineStoreAdminService.GetFeatureViewSync.
|
com.google.cloud.aiplatform.v1beta1.GetFeatureViewSyncRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.GetFeatureViewSync.
|
com.google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest |
Request message for
FeaturestoreService.GetFeaturestore.
|
com.google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest.Builder |
Request message for
FeaturestoreService.GetFeaturestore.
|
com.google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest |
Request message for
JobService.GetHyperparameterTuningJob.
|
com.google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest.Builder |
Request message for
JobService.GetHyperparameterTuningJob.
|
com.google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest |
Request message for
IndexEndpointService.GetIndexEndpoint
|
com.google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest.Builder |
Request message for
IndexEndpointService.GetIndexEndpoint
|
com.google.cloud.aiplatform.v1beta1.GetIndexRequest |
Request message for
IndexService.GetIndex
|
com.google.cloud.aiplatform.v1beta1.GetIndexRequest.Builder |
Request message for
IndexService.GetIndex
|
com.google.cloud.aiplatform.v1beta1.GetMetadataSchemaRequest |
Request message for
MetadataService.GetMetadataSchema.
|
com.google.cloud.aiplatform.v1beta1.GetMetadataSchemaRequest.Builder |
Request message for
MetadataService.GetMetadataSchema.
|
com.google.cloud.aiplatform.v1beta1.GetMetadataStoreRequest |
Request message for
MetadataService.GetMetadataStore.
|
com.google.cloud.aiplatform.v1beta1.GetMetadataStoreRequest.Builder |
Request message for
MetadataService.GetMetadataStore.
|
com.google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest |
Request message for
JobService.GetModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest.Builder |
Request message for
JobService.GetModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.GetModelEvaluationRequest |
Request message for
ModelService.GetModelEvaluation.
|
com.google.cloud.aiplatform.v1beta1.GetModelEvaluationRequest.Builder |
Request message for
ModelService.GetModelEvaluation.
|
com.google.cloud.aiplatform.v1beta1.GetModelEvaluationSliceRequest |
Request message for
ModelService.GetModelEvaluationSlice.
|
com.google.cloud.aiplatform.v1beta1.GetModelEvaluationSliceRequest.Builder |
Request message for
ModelService.GetModelEvaluationSlice.
|
com.google.cloud.aiplatform.v1beta1.GetModelMonitorRequest |
Request message for
ModelMonitoringService.GetModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.GetModelMonitorRequest.Builder |
Request message for
ModelMonitoringService.GetModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.GetModelMonitoringJobRequest |
Request message for
ModelMonitoringService.GetModelMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.GetModelMonitoringJobRequest.Builder |
Request message for
ModelMonitoringService.GetModelMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.GetModelRequest |
Request message for
ModelService.GetModel.
|
com.google.cloud.aiplatform.v1beta1.GetModelRequest.Builder |
Request message for
ModelService.GetModel.
|
com.google.cloud.aiplatform.v1beta1.GetNasJobRequest |
Request message for
JobService.GetNasJob.
|
com.google.cloud.aiplatform.v1beta1.GetNasJobRequest.Builder |
Request message for
JobService.GetNasJob.
|
com.google.cloud.aiplatform.v1beta1.GetNasTrialDetailRequest |
Request message for
JobService.GetNasTrialDetail.
|
com.google.cloud.aiplatform.v1beta1.GetNasTrialDetailRequest.Builder |
Request message for
JobService.GetNasTrialDetail.
|
com.google.cloud.aiplatform.v1beta1.GetNotebookExecutionJobRequest |
Request message for [NotebookService.GetNotebookExecutionJob]
|
com.google.cloud.aiplatform.v1beta1.GetNotebookExecutionJobRequest.Builder |
Request message for [NotebookService.GetNotebookExecutionJob]
|
com.google.cloud.aiplatform.v1beta1.GetNotebookRuntimeRequest |
Request message for
NotebookService.GetNotebookRuntime
|
com.google.cloud.aiplatform.v1beta1.GetNotebookRuntimeRequest.Builder |
Request message for
NotebookService.GetNotebookRuntime
|
com.google.cloud.aiplatform.v1beta1.GetNotebookRuntimeTemplateRequest |
Request message for
NotebookService.GetNotebookRuntimeTemplate
|
com.google.cloud.aiplatform.v1beta1.GetNotebookRuntimeTemplateRequest.Builder |
Request message for
NotebookService.GetNotebookRuntimeTemplate
|
com.google.cloud.aiplatform.v1beta1.GetPersistentResourceRequest |
Request message for
PersistentResourceService.GetPersistentResource.
|
com.google.cloud.aiplatform.v1beta1.GetPersistentResourceRequest.Builder |
Request message for
PersistentResourceService.GetPersistentResource.
|
com.google.cloud.aiplatform.v1beta1.GetPipelineJobRequest |
Request message for
PipelineService.GetPipelineJob.
|
com.google.cloud.aiplatform.v1beta1.GetPipelineJobRequest.Builder |
Request message for
PipelineService.GetPipelineJob.
|
com.google.cloud.aiplatform.v1beta1.GetPublisherModelRequest |
Request message for
ModelGardenService.GetPublisherModel
|
com.google.cloud.aiplatform.v1beta1.GetPublisherModelRequest.Builder |
Request message for
ModelGardenService.GetPublisherModel
|
com.google.cloud.aiplatform.v1beta1.GetRagCorpusRequest |
Request message for
VertexRagDataService.GetRagCorpus
|
com.google.cloud.aiplatform.v1beta1.GetRagCorpusRequest.Builder |
Request message for
VertexRagDataService.GetRagCorpus
|
com.google.cloud.aiplatform.v1beta1.GetRagFileRequest |
Request message for
VertexRagDataService.GetRagFile
|
com.google.cloud.aiplatform.v1beta1.GetRagFileRequest.Builder |
Request message for
VertexRagDataService.GetRagFile
|
com.google.cloud.aiplatform.v1beta1.GetReasoningEngineRequest |
Request message for
ReasoningEngineService.GetReasoningEngine.
|
com.google.cloud.aiplatform.v1beta1.GetReasoningEngineRequest.Builder |
Request message for
ReasoningEngineService.GetReasoningEngine.
|
com.google.cloud.aiplatform.v1beta1.GetScheduleRequest |
Request message for
ScheduleService.GetSchedule.
|
com.google.cloud.aiplatform.v1beta1.GetScheduleRequest.Builder |
Request message for
ScheduleService.GetSchedule.
|
com.google.cloud.aiplatform.v1beta1.GetSpecialistPoolRequest |
Request message for
SpecialistPoolService.GetSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.GetSpecialistPoolRequest.Builder |
Request message for
SpecialistPoolService.GetSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.GetStudyRequest |
Request message for
VizierService.GetStudy.
|
com.google.cloud.aiplatform.v1beta1.GetStudyRequest.Builder |
Request message for
VizierService.GetStudy.
|
com.google.cloud.aiplatform.v1beta1.GetTensorboardExperimentRequest |
Request message for
TensorboardService.GetTensorboardExperiment.
|
com.google.cloud.aiplatform.v1beta1.GetTensorboardExperimentRequest.Builder |
Request message for
TensorboardService.GetTensorboardExperiment.
|
com.google.cloud.aiplatform.v1beta1.GetTensorboardRequest |
Request message for
TensorboardService.GetTensorboard.
|
com.google.cloud.aiplatform.v1beta1.GetTensorboardRequest.Builder |
Request message for
TensorboardService.GetTensorboard.
|
com.google.cloud.aiplatform.v1beta1.GetTensorboardRunRequest |
Request message for
TensorboardService.GetTensorboardRun.
|
com.google.cloud.aiplatform.v1beta1.GetTensorboardRunRequest.Builder |
Request message for
TensorboardService.GetTensorboardRun.
|
com.google.cloud.aiplatform.v1beta1.GetTensorboardTimeSeriesRequest |
Request message for
TensorboardService.GetTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.GetTensorboardTimeSeriesRequest.Builder |
Request message for
TensorboardService.GetTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.GetTrainingPipelineRequest |
Request message for
PipelineService.GetTrainingPipeline.
|
com.google.cloud.aiplatform.v1beta1.GetTrainingPipelineRequest.Builder |
Request message for
PipelineService.GetTrainingPipeline.
|
com.google.cloud.aiplatform.v1beta1.GetTrialRequest |
Request message for
VizierService.GetTrial.
|
com.google.cloud.aiplatform.v1beta1.GetTrialRequest.Builder |
Request message for
VizierService.GetTrial.
|
com.google.cloud.aiplatform.v1beta1.GetTuningJobRequest |
Request message for
GenAiTuningService.GetTuningJob.
|
com.google.cloud.aiplatform.v1beta1.GetTuningJobRequest.Builder |
Request message for
GenAiTuningService.GetTuningJob.
|
com.google.cloud.aiplatform.v1beta1.GoogleDriveSource |
The Google Drive location for the input content.
|
com.google.cloud.aiplatform.v1beta1.GoogleDriveSource.Builder |
The Google Drive location for the input content.
|
com.google.cloud.aiplatform.v1beta1.GoogleDriveSource.ResourceId |
The type and ID of the Google Drive resource.
|
com.google.cloud.aiplatform.v1beta1.GoogleDriveSource.ResourceId.Builder |
The type and ID of the Google Drive resource.
|
com.google.cloud.aiplatform.v1beta1.GoogleSearchRetrieval |
Tool to retrieve public web data for grounding, powered by Google.
|
com.google.cloud.aiplatform.v1beta1.GoogleSearchRetrieval.Builder |
Tool to retrieve public web data for grounding, powered by Google.
|
com.google.cloud.aiplatform.v1beta1.GroundednessInput |
Input for groundedness metric.
|
com.google.cloud.aiplatform.v1beta1.GroundednessInput.Builder |
Input for groundedness metric.
|
com.google.cloud.aiplatform.v1beta1.GroundednessInstance |
Spec for groundedness instance.
|
com.google.cloud.aiplatform.v1beta1.GroundednessInstance.Builder |
Spec for groundedness instance.
|
com.google.cloud.aiplatform.v1beta1.GroundednessResult |
Spec for groundedness result.
|
com.google.cloud.aiplatform.v1beta1.GroundednessResult.Builder |
Spec for groundedness result.
|
com.google.cloud.aiplatform.v1beta1.GroundednessSpec |
Spec for groundedness metric.
|
com.google.cloud.aiplatform.v1beta1.GroundednessSpec.Builder |
Spec for groundedness metric.
|
com.google.cloud.aiplatform.v1beta1.GroundingAttribution |
Grounding attribution.
|
com.google.cloud.aiplatform.v1beta1.GroundingAttribution.Builder |
Grounding attribution.
|
com.google.cloud.aiplatform.v1beta1.GroundingAttribution.RetrievedContext |
Attribution from context retrieved by the retrieval tools.
|
com.google.cloud.aiplatform.v1beta1.GroundingAttribution.RetrievedContext.Builder |
Attribution from context retrieved by the retrieval tools.
|
com.google.cloud.aiplatform.v1beta1.GroundingAttribution.Web |
Attribution from the web.
|
com.google.cloud.aiplatform.v1beta1.GroundingAttribution.Web.Builder |
Attribution from the web.
|
com.google.cloud.aiplatform.v1beta1.GroundingMetadata |
Metadata returned to client when grounding is enabled.
|
com.google.cloud.aiplatform.v1beta1.GroundingMetadata.Builder |
Metadata returned to client when grounding is enabled.
|
com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob |
Represents a HyperparameterTuningJob. A HyperparameterTuningJob
has a Study specification and multiple CustomJobs with identical
CustomJob specification. |
com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.Builder |
Represents a HyperparameterTuningJob. A HyperparameterTuningJob
has a Study specification and multiple CustomJobs with identical
CustomJob specification. |
com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJobName |
|
com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJobName.Builder |
Builder for
projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}. |
com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJobProto |
|
com.google.cloud.aiplatform.v1beta1.IdMatcher |
Matcher for Features of an EntityType by Feature ID.
|
com.google.cloud.aiplatform.v1beta1.IdMatcher.Builder |
Matcher for Features of an EntityType by Feature ID.
|
com.google.cloud.aiplatform.v1beta1.ImportDataConfig |
Describes the location from where we import data into a Dataset, together
with the labels that will be applied to the DataItems and the Annotations.
|
com.google.cloud.aiplatform.v1beta1.ImportDataConfig.Builder |
Describes the location from where we import data into a Dataset, together
with the labels that will be applied to the DataItems and the Annotations.
|
com.google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata |
Runtime operation information for
DatasetService.ImportData.
|
com.google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.Builder |
Runtime operation information for
DatasetService.ImportData.
|
com.google.cloud.aiplatform.v1beta1.ImportDataRequest |
Request message for
DatasetService.ImportData.
|
com.google.cloud.aiplatform.v1beta1.ImportDataRequest.Builder |
Request message for
DatasetService.ImportData.
|
com.google.cloud.aiplatform.v1beta1.ImportDataResponse |
Response message for
DatasetService.ImportData.
|
com.google.cloud.aiplatform.v1beta1.ImportDataResponse.Builder |
Response message for
DatasetService.ImportData.
|
com.google.cloud.aiplatform.v1beta1.ImportExtensionOperationMetadata |
Details of
ExtensionRegistryService.ImportExtension
operation. |
com.google.cloud.aiplatform.v1beta1.ImportExtensionOperationMetadata.Builder |
Details of
ExtensionRegistryService.ImportExtension
operation. |
com.google.cloud.aiplatform.v1beta1.ImportExtensionRequest |
Request message for
ExtensionRegistryService.ImportExtension.
|
com.google.cloud.aiplatform.v1beta1.ImportExtensionRequest.Builder |
Request message for
ExtensionRegistryService.ImportExtension.
|
com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata |
Details of operations that perform import Feature values.
|
com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.Builder |
Details of operations that perform import Feature values.
|
com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest |
Request message for
FeaturestoreService.ImportFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.Builder |
Request message for
FeaturestoreService.ImportFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec |
Defines the Feature value(s) to import.
|
com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.Builder |
Defines the Feature value(s) to import.
|
com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse |
Response message for
FeaturestoreService.ImportFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse.Builder |
Response message for
FeaturestoreService.ImportFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ImportModelEvaluationRequest |
Request message for
ModelService.ImportModelEvaluation
|
com.google.cloud.aiplatform.v1beta1.ImportModelEvaluationRequest.Builder |
Request message for
ModelService.ImportModelEvaluation
|
com.google.cloud.aiplatform.v1beta1.ImportRagFilesConfig |
Config for importing RagFiles.
|
com.google.cloud.aiplatform.v1beta1.ImportRagFilesConfig.Builder |
Config for importing RagFiles.
|
com.google.cloud.aiplatform.v1beta1.ImportRagFilesOperationMetadata |
Runtime operation information for
VertexRagDataService.ImportRagFiles.
|
com.google.cloud.aiplatform.v1beta1.ImportRagFilesOperationMetadata.Builder |
Runtime operation information for
VertexRagDataService.ImportRagFiles.
|
com.google.cloud.aiplatform.v1beta1.ImportRagFilesRequest |
Request message for
VertexRagDataService.ImportRagFiles.
|
com.google.cloud.aiplatform.v1beta1.ImportRagFilesRequest.Builder |
Request message for
VertexRagDataService.ImportRagFiles.
|
com.google.cloud.aiplatform.v1beta1.ImportRagFilesResponse |
Response message for
VertexRagDataService.ImportRagFiles.
|
com.google.cloud.aiplatform.v1beta1.ImportRagFilesResponse.Builder |
Response message for
VertexRagDataService.ImportRagFiles.
|
com.google.cloud.aiplatform.v1beta1.Index |
A representation of a collection of database items organized in a way that
allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
|
com.google.cloud.aiplatform.v1beta1.Index.Builder |
A representation of a collection of database items organized in a way that
allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
|
com.google.cloud.aiplatform.v1beta1.IndexDatapoint |
A datapoint of Index.
|
com.google.cloud.aiplatform.v1beta1.IndexDatapoint.Builder |
A datapoint of Index.
|
com.google.cloud.aiplatform.v1beta1.IndexDatapoint.CrowdingTag |
Crowding tag is a constraint on a neighbor list produced by nearest
neighbor search requiring that no more than some value k' of the k
neighbors returned have the same value of crowding_attribute. |
com.google.cloud.aiplatform.v1beta1.IndexDatapoint.CrowdingTag.Builder |
Crowding tag is a constraint on a neighbor list produced by nearest
neighbor search requiring that no more than some value k' of the k
neighbors returned have the same value of crowding_attribute. |
com.google.cloud.aiplatform.v1beta1.IndexDatapoint.NumericRestriction |
This field allows restricts to be based on numeric comparisons rather
than categorical tokens.
|
com.google.cloud.aiplatform.v1beta1.IndexDatapoint.NumericRestriction.Builder |
This field allows restricts to be based on numeric comparisons rather
than categorical tokens.
|
com.google.cloud.aiplatform.v1beta1.IndexDatapoint.Restriction |
Restriction of a datapoint which describe its attributes(tokens) from each
of several attribute categories(namespaces).
|
com.google.cloud.aiplatform.v1beta1.IndexDatapoint.Restriction.Builder |
Restriction of a datapoint which describe its attributes(tokens) from each
of several attribute categories(namespaces).
|
com.google.cloud.aiplatform.v1beta1.IndexDatapoint.SparseEmbedding |
Feature embedding vector for sparse index. An array of numbers whose values
are located in the specified dimensions.
|
com.google.cloud.aiplatform.v1beta1.IndexDatapoint.SparseEmbedding.Builder |
Feature embedding vector for sparse index. An array of numbers whose values
are located in the specified dimensions.
|
com.google.cloud.aiplatform.v1beta1.IndexEndpoint |
Indexes are deployed into it. An IndexEndpoint can have multiple
DeployedIndexes.
|
com.google.cloud.aiplatform.v1beta1.IndexEndpoint.Builder |
Indexes are deployed into it. An IndexEndpoint can have multiple
DeployedIndexes.
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointName |
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointName.Builder |
Builder for projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}. |
com.google.cloud.aiplatform.v1beta1.IndexEndpointProto |
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointServiceClient.ListIndexEndpointsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointServiceClient.ListIndexEndpointsPage |
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointServiceClient.ListIndexEndpointsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointServiceGrpc |
A service for managing Vertex AI's IndexEndpoints.
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointServiceGrpc.IndexEndpointServiceImplBase |
Base class for the server implementation of the service IndexEndpointService.
A service for managing Vertex AI's IndexEndpoints. |
com.google.cloud.aiplatform.v1beta1.IndexEndpointServiceProto |
|
com.google.cloud.aiplatform.v1beta1.IndexEndpointServiceSettings.Builder |
Builder for IndexEndpointServiceSettings. |
com.google.cloud.aiplatform.v1beta1.IndexName |
|
com.google.cloud.aiplatform.v1beta1.IndexName.Builder |
Builder for projects/{project}/locations/{location}/indexes/{index}. |
com.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints |
IndexPrivateEndpoints proto is used to provide paths for users to send
requests via private endpoints (e.g. private service access, private service
connect). |
com.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.Builder |
IndexPrivateEndpoints proto is used to provide paths for users to send
requests via private endpoints (e.g. private service access, private service
connect). |
com.google.cloud.aiplatform.v1beta1.IndexProto |
|
com.google.cloud.aiplatform.v1beta1.IndexServiceClient.ListIndexesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.IndexServiceClient.ListIndexesPage |
|
com.google.cloud.aiplatform.v1beta1.IndexServiceClient.ListIndexesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.IndexServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.IndexServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.IndexServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.IndexServiceGrpc |
A service for creating and managing Vertex AI's Index resources.
|
com.google.cloud.aiplatform.v1beta1.IndexServiceGrpc.IndexServiceImplBase |
Base class for the server implementation of the service IndexService.
A service for creating and managing Vertex AI's Index resources. |
com.google.cloud.aiplatform.v1beta1.IndexServiceProto |
|
com.google.cloud.aiplatform.v1beta1.IndexServiceSettings.Builder |
Builder for IndexServiceSettings. |
com.google.cloud.aiplatform.v1beta1.IndexStats |
Stats of the Index.
|
com.google.cloud.aiplatform.v1beta1.IndexStats.Builder |
Stats of the Index.
|
com.google.cloud.aiplatform.v1beta1.InputDataConfig |
Specifies Vertex AI owned input data to be used for training, and
possibly evaluating, the Model.
|
com.google.cloud.aiplatform.v1beta1.InputDataConfig.Builder |
Specifies Vertex AI owned input data to be used for training, and
possibly evaluating, the Model.
|
com.google.cloud.aiplatform.v1beta1.Int64Array |
A list of int64 values.
|
com.google.cloud.aiplatform.v1beta1.Int64Array.Builder |
A list of int64 values.
|
com.google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution |
An attribution method that computes the Aumann-Shapley value taking advantage
of the model's fully differentiable structure. Refer to this paper for
more details: https://arxiv.org/abs/1703.01365 |
com.google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.Builder |
An attribution method that computes the Aumann-Shapley value taking advantage
of the model's fully differentiable structure. Refer to this paper for
more details: https://arxiv.org/abs/1703.01365 |
com.google.cloud.aiplatform.v1beta1.IoProto |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListBatchPredictionJobsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListBatchPredictionJobsPage |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListBatchPredictionJobsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListCustomJobsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListCustomJobsPage |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListCustomJobsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListDataLabelingJobsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListDataLabelingJobsPage |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListDataLabelingJobsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListHyperparameterTuningJobsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListHyperparameterTuningJobsPage |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListModelDeploymentMonitoringJobsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListModelDeploymentMonitoringJobsPage |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListModelDeploymentMonitoringJobsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListNasJobsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListNasJobsPage |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListNasJobsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListNasTrialDetailsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListNasTrialDetailsPage |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListNasTrialDetailsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.SearchModelDeploymentMonitoringStatsAnomaliesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.SearchModelDeploymentMonitoringStatsAnomaliesPage |
|
com.google.cloud.aiplatform.v1beta1.JobServiceClient.SearchModelDeploymentMonitoringStatsAnomaliesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.JobServiceGrpc |
A service for creating and managing Vertex AI's jobs.
|
com.google.cloud.aiplatform.v1beta1.JobServiceGrpc.JobServiceImplBase |
Base class for the server implementation of the service JobService.
A service for creating and managing Vertex AI's jobs. |
com.google.cloud.aiplatform.v1beta1.JobServiceProto |
|
com.google.cloud.aiplatform.v1beta1.JobServiceSettings.Builder |
Builder for JobServiceSettings. |
com.google.cloud.aiplatform.v1beta1.JobStateProto |
|
com.google.cloud.aiplatform.v1beta1.LargeModelReference |
Contains information about the Large Model.
|
com.google.cloud.aiplatform.v1beta1.LargeModelReference.Builder |
Contains information about the Large Model.
|
com.google.cloud.aiplatform.v1beta1.LineageSubgraph |
A subgraph of the overall lineage graph. Event edges connect Artifact and
Execution nodes.
|
com.google.cloud.aiplatform.v1beta1.LineageSubgraph.Builder |
A subgraph of the overall lineage graph. Event edges connect Artifact and
Execution nodes.
|
com.google.cloud.aiplatform.v1beta1.LineageSubgraphProto |
|
com.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest |
Request message for
DatasetService.ListAnnotations.
|
com.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.Builder |
Request message for
DatasetService.ListAnnotations.
|
com.google.cloud.aiplatform.v1beta1.ListAnnotationsResponse |
Response message for
DatasetService.ListAnnotations.
|
com.google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.Builder |
Response message for
DatasetService.ListAnnotations.
|
com.google.cloud.aiplatform.v1beta1.ListArtifactsRequest |
Request message for
MetadataService.ListArtifacts.
|
com.google.cloud.aiplatform.v1beta1.ListArtifactsRequest.Builder |
Request message for
MetadataService.ListArtifacts.
|
com.google.cloud.aiplatform.v1beta1.ListArtifactsResponse |
Response message for
MetadataService.ListArtifacts.
|
com.google.cloud.aiplatform.v1beta1.ListArtifactsResponse.Builder |
Response message for
MetadataService.ListArtifacts.
|
com.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest |
Request message for
JobService.ListBatchPredictionJobs.
|
com.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.Builder |
Request message for
JobService.ListBatchPredictionJobs.
|
com.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse |
Response message for
JobService.ListBatchPredictionJobs
|
com.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.Builder |
Response message for
JobService.ListBatchPredictionJobs
|
com.google.cloud.aiplatform.v1beta1.ListCachedContentsRequest |
Request to list CachedContents.
|
com.google.cloud.aiplatform.v1beta1.ListCachedContentsRequest.Builder |
Request to list CachedContents.
|
com.google.cloud.aiplatform.v1beta1.ListCachedContentsResponse |
Response with a list of CachedContents.
|
com.google.cloud.aiplatform.v1beta1.ListCachedContentsResponse.Builder |
Response with a list of CachedContents.
|
com.google.cloud.aiplatform.v1beta1.ListContextsRequest |
Request message for
MetadataService.ListContexts
|
com.google.cloud.aiplatform.v1beta1.ListContextsRequest.Builder |
Request message for
MetadataService.ListContexts
|
com.google.cloud.aiplatform.v1beta1.ListContextsResponse |
Response message for
MetadataService.ListContexts.
|
com.google.cloud.aiplatform.v1beta1.ListContextsResponse.Builder |
Response message for
MetadataService.ListContexts.
|
com.google.cloud.aiplatform.v1beta1.ListCustomJobsRequest |
Request message for
JobService.ListCustomJobs.
|
com.google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.Builder |
Request message for
JobService.ListCustomJobs.
|
com.google.cloud.aiplatform.v1beta1.ListCustomJobsResponse |
Response message for
JobService.ListCustomJobs
|
com.google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.Builder |
Response message for
JobService.ListCustomJobs
|
com.google.cloud.aiplatform.v1beta1.ListDataItemsRequest |
Request message for
DatasetService.ListDataItems.
|
com.google.cloud.aiplatform.v1beta1.ListDataItemsRequest.Builder |
Request message for
DatasetService.ListDataItems.
|
com.google.cloud.aiplatform.v1beta1.ListDataItemsResponse |
Response message for
DatasetService.ListDataItems.
|
com.google.cloud.aiplatform.v1beta1.ListDataItemsResponse.Builder |
Response message for
DatasetService.ListDataItems.
|
com.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest |
Request message for
JobService.ListDataLabelingJobs.
|
com.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.Builder |
Request message for
JobService.ListDataLabelingJobs.
|
com.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse |
Response message for
JobService.ListDataLabelingJobs.
|
com.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.Builder |
Response message for
JobService.ListDataLabelingJobs.
|
com.google.cloud.aiplatform.v1beta1.ListDatasetVersionsRequest |
Request message for
DatasetService.ListDatasetVersions.
|
com.google.cloud.aiplatform.v1beta1.ListDatasetVersionsRequest.Builder |
Request message for
DatasetService.ListDatasetVersions.
|
com.google.cloud.aiplatform.v1beta1.ListDatasetVersionsResponse |
Response message for
DatasetService.ListDatasetVersions.
|
com.google.cloud.aiplatform.v1beta1.ListDatasetVersionsResponse.Builder |
Response message for
DatasetService.ListDatasetVersions.
|
com.google.cloud.aiplatform.v1beta1.ListDatasetsRequest |
Request message for
DatasetService.ListDatasets.
|
com.google.cloud.aiplatform.v1beta1.ListDatasetsRequest.Builder |
Request message for
DatasetService.ListDatasets.
|
com.google.cloud.aiplatform.v1beta1.ListDatasetsResponse |
Response message for
DatasetService.ListDatasets.
|
com.google.cloud.aiplatform.v1beta1.ListDatasetsResponse.Builder |
Response message for
DatasetService.ListDatasets.
|
com.google.cloud.aiplatform.v1beta1.ListDeploymentResourcePoolsRequest |
Request message for ListDeploymentResourcePools method.
|
com.google.cloud.aiplatform.v1beta1.ListDeploymentResourcePoolsRequest.Builder |
Request message for ListDeploymentResourcePools method.
|
com.google.cloud.aiplatform.v1beta1.ListDeploymentResourcePoolsResponse |
Response message for ListDeploymentResourcePools method.
|
com.google.cloud.aiplatform.v1beta1.ListDeploymentResourcePoolsResponse.Builder |
Response message for ListDeploymentResourcePools method.
|
com.google.cloud.aiplatform.v1beta1.ListEndpointsRequest |
Request message for
EndpointService.ListEndpoints.
|
com.google.cloud.aiplatform.v1beta1.ListEndpointsRequest.Builder |
Request message for
EndpointService.ListEndpoints.
|
com.google.cloud.aiplatform.v1beta1.ListEndpointsResponse |
Response message for
EndpointService.ListEndpoints.
|
com.google.cloud.aiplatform.v1beta1.ListEndpointsResponse.Builder |
Response message for
EndpointService.ListEndpoints.
|
com.google.cloud.aiplatform.v1beta1.ListEntityTypesRequest |
Request message for
FeaturestoreService.ListEntityTypes.
|
com.google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.Builder |
Request message for
FeaturestoreService.ListEntityTypes.
|
com.google.cloud.aiplatform.v1beta1.ListEntityTypesResponse |
Response message for
FeaturestoreService.ListEntityTypes.
|
com.google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.Builder |
Response message for
FeaturestoreService.ListEntityTypes.
|
com.google.cloud.aiplatform.v1beta1.ListExecutionsRequest |
Request message for
MetadataService.ListExecutions.
|
com.google.cloud.aiplatform.v1beta1.ListExecutionsRequest.Builder |
Request message for
MetadataService.ListExecutions.
|
com.google.cloud.aiplatform.v1beta1.ListExecutionsResponse |
Response message for
MetadataService.ListExecutions.
|
com.google.cloud.aiplatform.v1beta1.ListExecutionsResponse.Builder |
Response message for
MetadataService.ListExecutions.
|
com.google.cloud.aiplatform.v1beta1.ListExtensionsRequest |
Request message for
ExtensionRegistryService.ListExtensions.
|
com.google.cloud.aiplatform.v1beta1.ListExtensionsRequest.Builder |
Request message for
ExtensionRegistryService.ListExtensions.
|
com.google.cloud.aiplatform.v1beta1.ListExtensionsResponse |
Response message for
ExtensionRegistryService.ListExtensions
|
com.google.cloud.aiplatform.v1beta1.ListExtensionsResponse.Builder |
Response message for
ExtensionRegistryService.ListExtensions
|
com.google.cloud.aiplatform.v1beta1.ListFeatureGroupsRequest |
Request message for
FeatureRegistryService.ListFeatureGroups.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureGroupsRequest.Builder |
Request message for
FeatureRegistryService.ListFeatureGroups.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureGroupsResponse |
Response message for
FeatureRegistryService.ListFeatureGroups.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureGroupsResponse.Builder |
Response message for
FeatureRegistryService.ListFeatureGroups.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureOnlineStoresRequest |
Request message for
FeatureOnlineStoreAdminService.ListFeatureOnlineStores.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureOnlineStoresRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.ListFeatureOnlineStores.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureOnlineStoresResponse |
Response message for
FeatureOnlineStoreAdminService.ListFeatureOnlineStores.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureOnlineStoresResponse.Builder |
Response message for
FeatureOnlineStoreAdminService.ListFeatureOnlineStores.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureViewSyncsRequest |
Request message for
FeatureOnlineStoreAdminService.ListFeatureViewSyncs.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureViewSyncsRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.ListFeatureViewSyncs.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureViewSyncsResponse |
Response message for
FeatureOnlineStoreAdminService.ListFeatureViewSyncs.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureViewSyncsResponse.Builder |
Response message for
FeatureOnlineStoreAdminService.ListFeatureViewSyncs.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureViewsRequest |
Request message for
FeatureOnlineStoreAdminService.ListFeatureViews.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureViewsRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.ListFeatureViews.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureViewsResponse |
Response message for
FeatureOnlineStoreAdminService.ListFeatureViews.
|
com.google.cloud.aiplatform.v1beta1.ListFeatureViewsResponse.Builder |
Response message for
FeatureOnlineStoreAdminService.ListFeatureViews.
|
com.google.cloud.aiplatform.v1beta1.ListFeaturesRequest |
Request message for
FeaturestoreService.ListFeatures.
Request message for |
com.google.cloud.aiplatform.v1beta1.ListFeaturesRequest.Builder |
Request message for
FeaturestoreService.ListFeatures.
Request message for |
com.google.cloud.aiplatform.v1beta1.ListFeaturesResponse |
Response message for
FeaturestoreService.ListFeatures.
Response message for |
com.google.cloud.aiplatform.v1beta1.ListFeaturesResponse.Builder |
Response message for
FeaturestoreService.ListFeatures.
Response message for |
com.google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest |
Request message for
FeaturestoreService.ListFeaturestores.
|
com.google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.Builder |
Request message for
FeaturestoreService.ListFeaturestores.
|
com.google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse |
Response message for
FeaturestoreService.ListFeaturestores.
|
com.google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.Builder |
Response message for
FeaturestoreService.ListFeaturestores.
|
com.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest |
Request message for
JobService.ListHyperparameterTuningJobs.
|
com.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.Builder |
Request message for
JobService.ListHyperparameterTuningJobs.
|
com.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse |
Response message for
JobService.ListHyperparameterTuningJobs
|
com.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.Builder |
Response message for
JobService.ListHyperparameterTuningJobs
|
com.google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest |
Request message for
IndexEndpointService.ListIndexEndpoints.
|
com.google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.Builder |
Request message for
IndexEndpointService.ListIndexEndpoints.
|
com.google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse |
Response message for
IndexEndpointService.ListIndexEndpoints.
|
com.google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.Builder |
Response message for
IndexEndpointService.ListIndexEndpoints.
|
com.google.cloud.aiplatform.v1beta1.ListIndexesRequest |
Request message for
IndexService.ListIndexes.
|
com.google.cloud.aiplatform.v1beta1.ListIndexesRequest.Builder |
Request message for
IndexService.ListIndexes.
|
com.google.cloud.aiplatform.v1beta1.ListIndexesResponse |
Response message for
IndexService.ListIndexes.
|
com.google.cloud.aiplatform.v1beta1.ListIndexesResponse.Builder |
Response message for
IndexService.ListIndexes.
|
com.google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest |
Request message for
MetadataService.ListMetadataSchemas.
|
com.google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.Builder |
Request message for
MetadataService.ListMetadataSchemas.
|
com.google.cloud.aiplatform.v1beta1.ListMetadataSchemasResponse |
Response message for
MetadataService.ListMetadataSchemas.
|
com.google.cloud.aiplatform.v1beta1.ListMetadataSchemasResponse.Builder |
Response message for
MetadataService.ListMetadataSchemas.
|
com.google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest |
Request message for
MetadataService.ListMetadataStores.
|
com.google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.Builder |
Request message for
MetadataService.ListMetadataStores.
|
com.google.cloud.aiplatform.v1beta1.ListMetadataStoresResponse |
Response message for
MetadataService.ListMetadataStores.
|
com.google.cloud.aiplatform.v1beta1.ListMetadataStoresResponse.Builder |
Response message for
MetadataService.ListMetadataStores.
|
com.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest |
Request message for
JobService.ListModelDeploymentMonitoringJobs.
|
com.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.Builder |
Request message for
JobService.ListModelDeploymentMonitoringJobs.
|
com.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse |
Response message for
JobService.ListModelDeploymentMonitoringJobs.
|
com.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.Builder |
Response message for
JobService.ListModelDeploymentMonitoringJobs.
|
com.google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest |
Request message for
ModelService.ListModelEvaluationSlices.
|
com.google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.Builder |
Request message for
ModelService.ListModelEvaluationSlices.
|
com.google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse |
Response message for
ModelService.ListModelEvaluationSlices.
|
com.google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.Builder |
Response message for
ModelService.ListModelEvaluationSlices.
|
com.google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest |
Request message for
ModelService.ListModelEvaluations.
|
com.google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.Builder |
Request message for
ModelService.ListModelEvaluations.
|
com.google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse |
Response message for
ModelService.ListModelEvaluations.
|
com.google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.Builder |
Response message for
ModelService.ListModelEvaluations.
|
com.google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsRequest |
Request message for
ModelMonitoringService.ListModelMonitoringJobs.
|
com.google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsRequest.Builder |
Request message for
ModelMonitoringService.ListModelMonitoringJobs.
|
com.google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsResponse |
Response message for
ModelMonitoringService.ListModelMonitoringJobs.
|
com.google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsResponse.Builder |
Response message for
ModelMonitoringService.ListModelMonitoringJobs.
|
com.google.cloud.aiplatform.v1beta1.ListModelMonitorsRequest |
Request message for
ModelMonitoringService.ListModelMonitors.
|
com.google.cloud.aiplatform.v1beta1.ListModelMonitorsRequest.Builder |
Request message for
ModelMonitoringService.ListModelMonitors.
|
com.google.cloud.aiplatform.v1beta1.ListModelMonitorsResponse |
Response message for
ModelMonitoringService.ListModelMonitors
|
com.google.cloud.aiplatform.v1beta1.ListModelMonitorsResponse.Builder |
Response message for
ModelMonitoringService.ListModelMonitors
|
com.google.cloud.aiplatform.v1beta1.ListModelVersionsRequest |
Request message for
ModelService.ListModelVersions.
|
com.google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.Builder |
Request message for
ModelService.ListModelVersions.
|
com.google.cloud.aiplatform.v1beta1.ListModelVersionsResponse |
Response message for
ModelService.ListModelVersions
|
com.google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.Builder |
Response message for
ModelService.ListModelVersions
|
com.google.cloud.aiplatform.v1beta1.ListModelsRequest |
Request message for
ModelService.ListModels.
|
com.google.cloud.aiplatform.v1beta1.ListModelsRequest.Builder |
Request message for
ModelService.ListModels.
|
com.google.cloud.aiplatform.v1beta1.ListModelsResponse |
Response message for
ModelService.ListModels
|
com.google.cloud.aiplatform.v1beta1.ListModelsResponse.Builder |
Response message for
ModelService.ListModels
|
com.google.cloud.aiplatform.v1beta1.ListNasJobsRequest |
Request message for
JobService.ListNasJobs.
|
com.google.cloud.aiplatform.v1beta1.ListNasJobsRequest.Builder |
Request message for
JobService.ListNasJobs.
|
com.google.cloud.aiplatform.v1beta1.ListNasJobsResponse |
Response message for
JobService.ListNasJobs
|
com.google.cloud.aiplatform.v1beta1.ListNasJobsResponse.Builder |
Response message for
JobService.ListNasJobs
|
com.google.cloud.aiplatform.v1beta1.ListNasTrialDetailsRequest |
Request message for
JobService.ListNasTrialDetails.
|
com.google.cloud.aiplatform.v1beta1.ListNasTrialDetailsRequest.Builder |
Request message for
JobService.ListNasTrialDetails.
|
com.google.cloud.aiplatform.v1beta1.ListNasTrialDetailsResponse |
Response message for
JobService.ListNasTrialDetails
|
com.google.cloud.aiplatform.v1beta1.ListNasTrialDetailsResponse.Builder |
Response message for
JobService.ListNasTrialDetails
|
com.google.cloud.aiplatform.v1beta1.ListNotebookExecutionJobsRequest |
Request message for [NotebookService.ListNotebookExecutionJobs]
|
com.google.cloud.aiplatform.v1beta1.ListNotebookExecutionJobsRequest.Builder |
Request message for [NotebookService.ListNotebookExecutionJobs]
|
com.google.cloud.aiplatform.v1beta1.ListNotebookExecutionJobsResponse |
Response message for [NotebookService.CreateNotebookExecutionJob]
|
com.google.cloud.aiplatform.v1beta1.ListNotebookExecutionJobsResponse.Builder |
Response message for [NotebookService.CreateNotebookExecutionJob]
|
com.google.cloud.aiplatform.v1beta1.ListNotebookRuntimeTemplatesRequest |
Request message for
NotebookService.ListNotebookRuntimeTemplates.
|
com.google.cloud.aiplatform.v1beta1.ListNotebookRuntimeTemplatesRequest.Builder |
Request message for
NotebookService.ListNotebookRuntimeTemplates.
|
com.google.cloud.aiplatform.v1beta1.ListNotebookRuntimeTemplatesResponse |
Response message for
NotebookService.ListNotebookRuntimeTemplates.
|
com.google.cloud.aiplatform.v1beta1.ListNotebookRuntimeTemplatesResponse.Builder |
Response message for
NotebookService.ListNotebookRuntimeTemplates.
|
com.google.cloud.aiplatform.v1beta1.ListNotebookRuntimesRequest |
Request message for
NotebookService.ListNotebookRuntimes.
|
com.google.cloud.aiplatform.v1beta1.ListNotebookRuntimesRequest.Builder |
Request message for
NotebookService.ListNotebookRuntimes.
|
com.google.cloud.aiplatform.v1beta1.ListNotebookRuntimesResponse |
Response message for
NotebookService.ListNotebookRuntimes.
|
com.google.cloud.aiplatform.v1beta1.ListNotebookRuntimesResponse.Builder |
Response message for
NotebookService.ListNotebookRuntimes.
|
com.google.cloud.aiplatform.v1beta1.ListOptimalTrialsRequest |
Request message for
VizierService.ListOptimalTrials.
|
com.google.cloud.aiplatform.v1beta1.ListOptimalTrialsRequest.Builder |
Request message for
VizierService.ListOptimalTrials.
|
com.google.cloud.aiplatform.v1beta1.ListOptimalTrialsResponse |
Response message for
VizierService.ListOptimalTrials.
|
com.google.cloud.aiplatform.v1beta1.ListOptimalTrialsResponse.Builder |
Response message for
VizierService.ListOptimalTrials.
|
com.google.cloud.aiplatform.v1beta1.ListPersistentResourcesRequest |
Request message for [PersistentResourceService.ListPersistentResource][].
|
com.google.cloud.aiplatform.v1beta1.ListPersistentResourcesRequest.Builder |
Request message for [PersistentResourceService.ListPersistentResource][].
|
com.google.cloud.aiplatform.v1beta1.ListPersistentResourcesResponse |
Response message for
PersistentResourceService.ListPersistentResources
|
com.google.cloud.aiplatform.v1beta1.ListPersistentResourcesResponse.Builder |
Response message for
PersistentResourceService.ListPersistentResources
|
com.google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest |
Request message for
PipelineService.ListPipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.Builder |
Request message for
PipelineService.ListPipelineJobs.
|
com.google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse |
Response message for
PipelineService.ListPipelineJobs
|
com.google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.Builder |
Response message for
PipelineService.ListPipelineJobs
|
com.google.cloud.aiplatform.v1beta1.ListPublisherModelsRequest |
Request message for
ModelGardenService.ListPublisherModels.
|
com.google.cloud.aiplatform.v1beta1.ListPublisherModelsRequest.Builder |
Request message for
ModelGardenService.ListPublisherModels.
|
com.google.cloud.aiplatform.v1beta1.ListPublisherModelsResponse |
Response message for
ModelGardenService.ListPublisherModels.
|
com.google.cloud.aiplatform.v1beta1.ListPublisherModelsResponse.Builder |
Response message for
ModelGardenService.ListPublisherModels.
|
com.google.cloud.aiplatform.v1beta1.ListRagCorporaRequest |
Request message for
VertexRagDataService.ListRagCorpora.
|
com.google.cloud.aiplatform.v1beta1.ListRagCorporaRequest.Builder |
Request message for
VertexRagDataService.ListRagCorpora.
|
com.google.cloud.aiplatform.v1beta1.ListRagCorporaResponse |
Response message for
VertexRagDataService.ListRagCorpora.
|
com.google.cloud.aiplatform.v1beta1.ListRagCorporaResponse.Builder |
Response message for
VertexRagDataService.ListRagCorpora.
|
com.google.cloud.aiplatform.v1beta1.ListRagFilesRequest |
Request message for
VertexRagDataService.ListRagFiles.
|
com.google.cloud.aiplatform.v1beta1.ListRagFilesRequest.Builder |
Request message for
VertexRagDataService.ListRagFiles.
|
com.google.cloud.aiplatform.v1beta1.ListRagFilesResponse |
Response message for
VertexRagDataService.ListRagFiles.
|
com.google.cloud.aiplatform.v1beta1.ListRagFilesResponse.Builder |
Response message for
VertexRagDataService.ListRagFiles.
|
com.google.cloud.aiplatform.v1beta1.ListReasoningEnginesRequest |
Request message for
ReasoningEngineService.ListReasoningEngines.
|
com.google.cloud.aiplatform.v1beta1.ListReasoningEnginesRequest.Builder |
Request message for
ReasoningEngineService.ListReasoningEngines.
|
com.google.cloud.aiplatform.v1beta1.ListReasoningEnginesResponse |
Response message for
ReasoningEngineService.ListReasoningEngines
|
com.google.cloud.aiplatform.v1beta1.ListReasoningEnginesResponse.Builder |
Response message for
ReasoningEngineService.ListReasoningEngines
|
com.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest |
Request message for
DatasetService.ListSavedQueries.
|
com.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest.Builder |
Request message for
DatasetService.ListSavedQueries.
|
com.google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse |
Response message for
DatasetService.ListSavedQueries.
|
com.google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse.Builder |
Response message for
DatasetService.ListSavedQueries.
|
com.google.cloud.aiplatform.v1beta1.ListSchedulesRequest |
Request message for
ScheduleService.ListSchedules.
|
com.google.cloud.aiplatform.v1beta1.ListSchedulesRequest.Builder |
Request message for
ScheduleService.ListSchedules.
|
com.google.cloud.aiplatform.v1beta1.ListSchedulesResponse |
Response message for
ScheduleService.ListSchedules
|
com.google.cloud.aiplatform.v1beta1.ListSchedulesResponse.Builder |
Response message for
ScheduleService.ListSchedules
|
com.google.cloud.aiplatform.v1beta1.ListSpecialistPoolsRequest |
Request message for
SpecialistPoolService.ListSpecialistPools.
|
com.google.cloud.aiplatform.v1beta1.ListSpecialistPoolsRequest.Builder |
Request message for
SpecialistPoolService.ListSpecialistPools.
|
com.google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse |
Response message for
SpecialistPoolService.ListSpecialistPools.
|
com.google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.Builder |
Response message for
SpecialistPoolService.ListSpecialistPools.
|
com.google.cloud.aiplatform.v1beta1.ListStudiesRequest |
Request message for
VizierService.ListStudies.
|
com.google.cloud.aiplatform.v1beta1.ListStudiesRequest.Builder |
Request message for
VizierService.ListStudies.
|
com.google.cloud.aiplatform.v1beta1.ListStudiesResponse |
Response message for
VizierService.ListStudies.
|
com.google.cloud.aiplatform.v1beta1.ListStudiesResponse.Builder |
Response message for
VizierService.ListStudies.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest |
Request message for
TensorboardService.ListTensorboardExperiments.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.Builder |
Request message for
TensorboardService.ListTensorboardExperiments.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse |
Response message for
TensorboardService.ListTensorboardExperiments.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse.Builder |
Response message for
TensorboardService.ListTensorboardExperiments.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest |
Request message for
TensorboardService.ListTensorboardRuns.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.Builder |
Request message for
TensorboardService.ListTensorboardRuns.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse |
Response message for
TensorboardService.ListTensorboardRuns.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse.Builder |
Response message for
TensorboardService.ListTensorboardRuns.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest |
Request message for
TensorboardService.ListTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.Builder |
Request message for
TensorboardService.ListTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse |
Response message for
TensorboardService.ListTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse.Builder |
Response message for
TensorboardService.ListTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardsRequest |
Request message for
TensorboardService.ListTensorboards.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.Builder |
Request message for
TensorboardService.ListTensorboards.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardsResponse |
Response message for
TensorboardService.ListTensorboards.
|
com.google.cloud.aiplatform.v1beta1.ListTensorboardsResponse.Builder |
Response message for
TensorboardService.ListTensorboards.
|
com.google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest |
Request message for
PipelineService.ListTrainingPipelines.
|
com.google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.Builder |
Request message for
PipelineService.ListTrainingPipelines.
|
com.google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse |
Response message for
PipelineService.ListTrainingPipelines
|
com.google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.Builder |
Response message for
PipelineService.ListTrainingPipelines
|
com.google.cloud.aiplatform.v1beta1.ListTrialsRequest |
Request message for
VizierService.ListTrials.
|
com.google.cloud.aiplatform.v1beta1.ListTrialsRequest.Builder |
Request message for
VizierService.ListTrials.
|
com.google.cloud.aiplatform.v1beta1.ListTrialsResponse |
Response message for
VizierService.ListTrials.
|
com.google.cloud.aiplatform.v1beta1.ListTrialsResponse.Builder |
Response message for
VizierService.ListTrials.
|
com.google.cloud.aiplatform.v1beta1.ListTuningJobsRequest |
Request message for
GenAiTuningService.ListTuningJobs.
|
com.google.cloud.aiplatform.v1beta1.ListTuningJobsRequest.Builder |
Request message for
GenAiTuningService.ListTuningJobs.
|
com.google.cloud.aiplatform.v1beta1.ListTuningJobsResponse |
Response message for
GenAiTuningService.ListTuningJobs
|
com.google.cloud.aiplatform.v1beta1.ListTuningJobsResponse.Builder |
Response message for
GenAiTuningService.ListTuningJobs
|
com.google.cloud.aiplatform.v1beta1.LlmUtilityServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.LlmUtilityServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.LlmUtilityServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.LlmUtilityServiceGrpc |
Service for LLM related utility functions.
|
com.google.cloud.aiplatform.v1beta1.LlmUtilityServiceGrpc.LlmUtilityServiceImplBase |
Base class for the server implementation of the service LlmUtilityService.
Service for LLM related utility functions. |
com.google.cloud.aiplatform.v1beta1.LlmUtilityServiceProto |
|
com.google.cloud.aiplatform.v1beta1.LlmUtilityServiceSettings.Builder |
Builder for LlmUtilityServiceSettings. |
com.google.cloud.aiplatform.v1beta1.LocationName |
|
com.google.cloud.aiplatform.v1beta1.LocationName.Builder |
Builder for projects/{project}/locations/{location}. |
com.google.cloud.aiplatform.v1beta1.LookupStudyRequest |
Request message for
VizierService.LookupStudy.
|
com.google.cloud.aiplatform.v1beta1.LookupStudyRequest.Builder |
Request message for
VizierService.LookupStudy.
|
com.google.cloud.aiplatform.v1beta1.MachineResourcesProto |
|
com.google.cloud.aiplatform.v1beta1.MachineSpec |
Specification of a single machine.
|
com.google.cloud.aiplatform.v1beta1.MachineSpec.Builder |
Specification of a single machine.
|
com.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters |
Manual batch tuning parameters.
|
com.google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters.Builder |
Manual batch tuning parameters.
|
com.google.cloud.aiplatform.v1beta1.ManualBatchTuningParametersProto |
|
com.google.cloud.aiplatform.v1beta1.MatchServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.MatchServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.MatchServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.MatchServiceGrpc |
MatchService is a Google managed service for efficient vector similarity
search at scale.
|
com.google.cloud.aiplatform.v1beta1.MatchServiceGrpc.MatchServiceImplBase |
Base class for the server implementation of the service MatchService.
MatchService is a Google managed service for efficient vector similarity |
com.google.cloud.aiplatform.v1beta1.MatchServiceProto |
|
com.google.cloud.aiplatform.v1beta1.MatchServiceSettings.Builder |
Builder for MatchServiceSettings. |
com.google.cloud.aiplatform.v1beta1.Measurement |
A message representing a Measurement of a Trial. A Measurement contains
the Metrics got by executing a Trial using suggested hyperparameter
values. |
com.google.cloud.aiplatform.v1beta1.Measurement.Builder |
A message representing a Measurement of a Trial. A Measurement contains
the Metrics got by executing a Trial using suggested hyperparameter
values. |
com.google.cloud.aiplatform.v1beta1.Measurement.Metric |
A message representing a metric in the measurement.
|
com.google.cloud.aiplatform.v1beta1.Measurement.Metric.Builder |
A message representing a metric in the measurement.
|
com.google.cloud.aiplatform.v1beta1.MergeVersionAliasesRequest |
Request message for
ModelService.MergeVersionAliases.
|
com.google.cloud.aiplatform.v1beta1.MergeVersionAliasesRequest.Builder |
Request message for
ModelService.MergeVersionAliases.
|
com.google.cloud.aiplatform.v1beta1.MetadataProto |
|
com.google.cloud.aiplatform.v1beta1.MetadataSchema |
Instance of a general MetadataSchema.
|
com.google.cloud.aiplatform.v1beta1.MetadataSchema.Builder |
Instance of a general MetadataSchema.
|
com.google.cloud.aiplatform.v1beta1.MetadataSchemaName |
|
com.google.cloud.aiplatform.v1beta1.MetadataSchemaName.Builder |
Builder for
projects/{project}/locations/{location}/metadataStores/{metadata_store}/metadataSchemas/{metadata_schema}. |
com.google.cloud.aiplatform.v1beta1.MetadataSchemaProto |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListArtifactsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListArtifactsPage |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListArtifactsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListContextsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListContextsPage |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListContextsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListExecutionsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListExecutionsPage |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListExecutionsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListMetadataSchemasFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListMetadataSchemasPage |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListMetadataSchemasPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListMetadataStoresFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListMetadataStoresPage |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceClient.ListMetadataStoresPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceGrpc |
Service for reading and writing metadata entries.
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceGrpc.MetadataServiceImplBase |
Base class for the server implementation of the service MetadataService.
Service for reading and writing metadata entries. |
com.google.cloud.aiplatform.v1beta1.MetadataServiceProto |
|
com.google.cloud.aiplatform.v1beta1.MetadataServiceSettings.Builder |
Builder for MetadataServiceSettings. |
com.google.cloud.aiplatform.v1beta1.MetadataStore |
Instance of a metadata store. Contains a set of metadata that can be
queried.
|
com.google.cloud.aiplatform.v1beta1.MetadataStore.Builder |
Instance of a metadata store. Contains a set of metadata that can be
queried.
|
com.google.cloud.aiplatform.v1beta1.MetadataStore.DataplexConfig |
Represents Dataplex integration settings.
|
com.google.cloud.aiplatform.v1beta1.MetadataStore.DataplexConfig.Builder |
Represents Dataplex integration settings.
|
com.google.cloud.aiplatform.v1beta1.MetadataStore.MetadataStoreState |
Represents state information for a MetadataStore.
|
com.google.cloud.aiplatform.v1beta1.MetadataStore.MetadataStoreState.Builder |
Represents state information for a MetadataStore.
|
com.google.cloud.aiplatform.v1beta1.MetadataStoreName |
|
com.google.cloud.aiplatform.v1beta1.MetadataStoreName.Builder |
Builder for projects/{project}/locations/{location}/metadataStores/{metadata_store}. |
com.google.cloud.aiplatform.v1beta1.MigratableResource |
Represents one resource that exists in automl.googleapis.com,
datalabeling.googleapis.com or ml.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.AutomlDataset |
Represents one Dataset in automl.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.AutomlDataset.Builder |
Represents one Dataset in automl.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.AutomlModel |
Represents one Model in automl.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.AutomlModel.Builder |
Represents one Model in automl.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.Builder |
Represents one resource that exists in automl.googleapis.com,
datalabeling.googleapis.com or ml.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.DataLabelingDataset |
Represents one Dataset in datalabeling.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.DataLabelingDataset.Builder |
Represents one Dataset in datalabeling.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset |
Represents one AnnotatedDataset in datalabeling.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset.Builder |
Represents one AnnotatedDataset in datalabeling.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.MlEngineModelVersion |
Represents one model Version in ml.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResource.MlEngineModelVersion.Builder |
Represents one model Version in ml.googleapis.com.
|
com.google.cloud.aiplatform.v1beta1.MigratableResourceProto |
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest |
Config of migrating one resource from automl.googleapis.com,
datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder |
Config of migrating one resource from automl.googleapis.com,
datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateAutomlDatasetConfig |
Config for migrating Dataset in automl.googleapis.com to Vertex AI's
Dataset.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateAutomlDatasetConfig.Builder |
Config for migrating Dataset in automl.googleapis.com to Vertex AI's
Dataset.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateAutomlModelConfig |
Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateAutomlModelConfig.Builder |
Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig |
Config for migrating Dataset in datalabeling.googleapis.com to Vertex
AI's Dataset.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.Builder |
Config for migrating Dataset in datalabeling.googleapis.com to Vertex
AI's Dataset.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig |
Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
Vertex AI's SavedQuery.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig.Builder |
Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
Vertex AI's SavedQuery.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig |
Config for migrating version in ml.googleapis.com to Vertex AI's Model.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig.Builder |
Config for migrating version in ml.googleapis.com to Vertex AI's Model.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceResponse |
Describes a successfully migrated resource.
|
com.google.cloud.aiplatform.v1beta1.MigrateResourceResponse.Builder |
Describes a successfully migrated resource.
|
com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.SearchMigratableResourcesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.SearchMigratableResourcesPage |
|
com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.SearchMigratableResourcesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.MigrationServiceGrpc |
A service that migrates resources from automl.googleapis.com,
datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
|
com.google.cloud.aiplatform.v1beta1.MigrationServiceGrpc.MigrationServiceImplBase |
Base class for the server implementation of the service MigrationService.
A service that migrates resources from automl.googleapis.com, |
com.google.cloud.aiplatform.v1beta1.MigrationServiceProto |
|
com.google.cloud.aiplatform.v1beta1.MigrationServiceSettings.Builder |
Builder for MigrationServiceSettings. |
com.google.cloud.aiplatform.v1beta1.Model |
A trained machine learning Model.
|
com.google.cloud.aiplatform.v1beta1.Model.BaseModelSource |
User input field to specify the base model source. Currently it only
supports specifing the Model Garden models and Genie models.
|
com.google.cloud.aiplatform.v1beta1.Model.BaseModelSource.Builder |
User input field to specify the base model source. Currently it only
supports specifing the Model Garden models and Genie models.
|
com.google.cloud.aiplatform.v1beta1.Model.Builder |
A trained machine learning Model.
|
com.google.cloud.aiplatform.v1beta1.Model.ExportFormat |
Represents export format supported by the Model.
All formats export to Google Cloud Storage.
|
com.google.cloud.aiplatform.v1beta1.Model.ExportFormat.Builder |
Represents export format supported by the Model.
All formats export to Google Cloud Storage.
|
com.google.cloud.aiplatform.v1beta1.Model.OriginalModelInfo |
Contains information about the original Model if this Model is a copy.
|
com.google.cloud.aiplatform.v1beta1.Model.OriginalModelInfo.Builder |
Contains information about the original Model if this Model is a copy.
|
com.google.cloud.aiplatform.v1beta1.ModelContainerSpec |
Specification of a container for serving predictions. Some fields in this
message correspond to fields in the Kubernetes Container v1 core
specification. |
com.google.cloud.aiplatform.v1beta1.ModelContainerSpec.Builder |
Specification of a container for serving predictions. Some fields in this
message correspond to fields in the Kubernetes Container v1 core
specification. |
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable |
ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name
as well as some information of the logs stored in this table.
|
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.Builder |
ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name
as well as some information of the logs stored in this table.
|
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob |
Represents a job that runs periodically to monitor the deployed models in an
endpoint. It will analyze the logged training & prediction data to detect any
abnormal behaviors. |
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.Builder |
Represents a job that runs periodically to monitor the deployed models in an
endpoint. It will analyze the logged training & prediction data to detect any
abnormal behaviors. |
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata |
All metadata of most recent monitoring pipelines.
|
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.Builder |
All metadata of most recent monitoring pipelines.
|
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJobName |
|
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJobName.Builder |
Builder for
projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}. |
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJobProto |
|
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig |
ModelDeploymentMonitoringObjectiveConfig contains the pair of
deployed_model_id to ModelMonitoringObjectiveConfig.
|
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.Builder |
ModelDeploymentMonitoringObjectiveConfig contains the pair of
deployed_model_id to ModelMonitoringObjectiveConfig.
|
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig |
The config for scheduling monitoring job.
|
com.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.Builder |
The config for scheduling monitoring job.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluation |
A collection of metrics calculated by comparing Model's predictions on all of
the test data against annotations from the test data.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig |
Configuration for bias detection.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig.Builder |
Configuration for bias detection.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluation.Builder |
A collection of metrics calculated by comparing Model's predictions on all of
the test data against annotations from the test data.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec |
Protobuf type
google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec |
com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder |
Protobuf type
google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec |
com.google.cloud.aiplatform.v1beta1.ModelEvaluationName |
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationName.Builder |
Builder for projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}. |
com.google.cloud.aiplatform.v1beta1.ModelEvaluationProto |
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice |
A collection of metrics calculated by comparing Model's predictions on a
slice of the test data against ground truth annotations.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Builder |
A collection of metrics calculated by comparing Model's predictions on a
slice of the test data against ground truth annotations.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice |
Definition of a slice.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.Builder |
Definition of a slice.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec |
Specification for how the data should be sliced.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec.Builder |
Specification for how the data should be sliced.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec.Range |
A range of values for slice(s).
low is inclusive, high is exclusive.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec.Range.Builder |
A range of values for slice(s).
low is inclusive, high is exclusive.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig |
Specification message containing the config for this SliceSpec.
When kind is selected as value and/or range , only a single slice
will be computed. |
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig.Builder |
Specification message containing the config for this SliceSpec.
When kind is selected as value and/or range , only a single slice
will be computed. |
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec.Value |
Single value that supports strings and floats.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.SliceSpec.Value.Builder |
Single value that supports strings and floats.
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSliceName |
|
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSliceName.Builder |
Builder for
projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}. |
com.google.cloud.aiplatform.v1beta1.ModelEvaluationSliceProto |
|
com.google.cloud.aiplatform.v1beta1.ModelExplanation |
Aggregated explanation metrics for a Model over a set of instances.
|
com.google.cloud.aiplatform.v1beta1.ModelExplanation.Builder |
Aggregated explanation metrics for a Model over a set of instances.
|
com.google.cloud.aiplatform.v1beta1.ModelGardenServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelGardenServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelGardenServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelGardenServiceClient.ListPublisherModelsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelGardenServiceClient.ListPublisherModelsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelGardenServiceClient.ListPublisherModelsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelGardenServiceGrpc |
The interface of Model Garden Service.
|
com.google.cloud.aiplatform.v1beta1.ModelGardenServiceGrpc.ModelGardenServiceImplBase |
Base class for the server implementation of the service ModelGardenService.
The interface of Model Garden Service. |
com.google.cloud.aiplatform.v1beta1.ModelGardenServiceProto |
|
com.google.cloud.aiplatform.v1beta1.ModelGardenServiceSettings.Builder |
Builder for ModelGardenServiceSettings. |
com.google.cloud.aiplatform.v1beta1.ModelGardenSource |
Contains information about the source of the models generated from Model
Garden.
|
com.google.cloud.aiplatform.v1beta1.ModelGardenSource.Builder |
Contains information about the source of the models generated from Model
Garden.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitor |
Vertex AI Model Monitoring Service serves as a central hub for the analysis
and visualization of data quality and performance related to models.
ModelMonitor stands as a top level resource for overseeing your model |
com.google.cloud.aiplatform.v1beta1.ModelMonitor.Builder |
Vertex AI Model Monitoring Service serves as a central hub for the analysis
and visualization of data quality and performance related to models.
ModelMonitor stands as a top level resource for overseeing your model |
com.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget |
The monitoring target refers to the entity that is subject to analysis.
e.g. Vertex AI Model version.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget.Builder |
The monitoring target refers to the entity that is subject to analysis.
e.g. Vertex AI Model version.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget.VertexModelSource |
Model in Vertex AI Model Registry.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget.VertexModelSource.Builder |
Model in Vertex AI Model Registry.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitorName |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitorName.Builder |
Builder for projects/{project}/locations/{location}/modelMonitors/{model_monitor}. |
com.google.cloud.aiplatform.v1beta1.ModelMonitorProto |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAlert |
Represents a single monitoring alert. This is currently used in the
SearchModelMonitoringAlerts api, thus the alert wrapped in this message
belongs to the resource asked in the request. |
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAlert.Builder |
Represents a single monitoring alert. This is currently used in the
SearchModelMonitoringAlerts api, thus the alert wrapped in this message
belongs to the resource asked in the request. |
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition |
Monitoring alert triggered condition.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition.Builder |
Monitoring alert triggered condition.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig |
The alert config for model monitoring.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.Builder |
The alert config for model monitoring.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig |
The config for email alert.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.Builder |
The config for email alert.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertProto |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAnomaly |
Represents a single model monitoring anomaly.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAnomaly.Builder |
Represents a single model monitoring anomaly.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAnomaly.TabularAnomaly |
Tabular anomaly details.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringAnomaly.TabularAnomaly.Builder |
Tabular anomaly details.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig |
The model monitoring configuration used for Batch Prediction Job.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.Builder |
The model monitoring configuration used for Batch Prediction Job.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput |
Model monitoring data input spec.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput |
Data from Vertex AI Batch prediction job output.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.BatchPredictionOutput.Builder |
Data from Vertex AI Batch prediction job output.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.Builder |
Model monitoring data input spec.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset |
Input dataset spec.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.Builder |
Input dataset spec.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringBigQuerySource |
Dataset spec for data sotred in BigQuery.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringBigQuerySource.Builder |
Dataset spec for data sotred in BigQuery.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringGcsSource |
Dataset spec for data stored in Google Cloud Storage.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.ModelMonitoringDataset.ModelMonitoringGcsSource.Builder |
Dataset spec for data stored in Google Cloud Storage.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset |
Time offset setting.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.TimeOffset.Builder |
Time offset setting.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs |
Data from Vertex AI Endpoint request response logging.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringInput.VertexEndpointLogs.Builder |
Data from Vertex AI Endpoint request response logging.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringJob |
Represents a model monitoring job that analyze dataset using different
monitoring algorithm.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringJob.Builder |
Represents a model monitoring job that analyze dataset using different
monitoring algorithm.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail |
Represent the execution details of the job.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.Builder |
Represent the execution details of the job.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset |
Processed dataset information.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder |
Processed dataset information.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobName |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobName.Builder |
Builder for
projects/{project}/locations/{location}/modelMonitors/{model_monitor}/modelMonitoringJobs/{model_monitoring_job}. |
com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobProto |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec |
Notification spec(email, notification channel) for model monitoring
statistics/alerts.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.Builder |
Notification spec(email, notification channel) for model monitoring
statistics/alerts.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.EmailConfig |
The config for email alerts.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.EmailConfig.Builder |
The config for email alerts.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.NotificationChannelConfig |
Google Cloud Notification Channel config.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec.NotificationChannelConfig.Builder |
Google Cloud Notification Channel config.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig |
The objective configuration for model monitoring, including the information
needed to detect anomalies for one particular model.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.Builder |
The objective configuration for model monitoring, including the information
needed to detect anomalies for one particular model.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig |
The config for integrating with Vertex Explainable AI. Only applicable if
the Model has explanation_spec populated.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
The config for integrating with Vertex Explainable AI. Only applicable if
the Model has explanation_spec populated.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline |
Output from
BatchPredictionJob
for Model Monitoring baseline dataset, which can be used to generate |
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder |
Output from
BatchPredictionJob
for Model Monitoring baseline dataset, which can be used to generate |
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig |
The config for Prediction data drift detection.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder |
The config for Prediction data drift detection.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset |
Training Dataset information.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
Training Dataset information.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig |
The config for Training & Prediction data skew detection. It specifies the
training dataset sources and the skew detection parameters.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder |
The config for Training & Prediction data skew detection. It specifies the
training dataset sources and the skew detection parameters.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec |
Monitoring objectives spec.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.Builder |
Monitoring objectives spec.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec |
Data drift monitoring spec.
Data drift measures the distribution distance between the current dataset
and a baseline dataset. A typical use case is to detect data drift between |
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec.Builder |
Data drift monitoring spec.
Data drift measures the distribution distance between the current dataset
and a baseline dataset. A typical use case is to detect data drift between |
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec |
Feature attribution monitoring spec.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
Feature attribution monitoring spec.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective |
Tabular monitoring objective.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective.Builder |
Tabular monitoring objective.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec |
Specification for the export destination of monitoring results, including
metrics, logs, etc.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec.Builder |
Specification for the export destination of monitoring results, including
metrics, logs, etc.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringProto |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema |
The Model Monitoring Schema definition.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema.Builder |
The Model Monitoring Schema definition.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema.FieldSchema |
Schema field definition.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema.FieldSchema.Builder |
Schema field definition.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.ListModelMonitoringJobsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.ListModelMonitoringJobsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.ListModelMonitoringJobsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.ListModelMonitorsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.ListModelMonitorsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.ListModelMonitorsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.SearchModelMonitoringAlertsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.SearchModelMonitoringAlertsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.SearchModelMonitoringAlertsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.SearchModelMonitoringStatsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.SearchModelMonitoringStatsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceClient.SearchModelMonitoringStatsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceGrpc |
A service for creating and managing Vertex AI Model moitoring. This includes
ModelMonitor resources, ModelMonitoringJob resources.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceGrpc.ModelMonitoringServiceImplBase |
Base class for the server implementation of the service ModelMonitoringService.
A service for creating and managing Vertex AI Model moitoring. This includes |
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceProto |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringServiceSettings.Builder |
Builder for ModelMonitoringServiceSettings. |
com.google.cloud.aiplatform.v1beta1.ModelMonitoringSpec |
Monitoring monitoring job spec. It outlines the specifications for monitoring
objectives, notifications, and result exports.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringSpec.Builder |
Monitoring monitoring job spec. It outlines the specifications for monitoring
objectives, notifications, and result exports.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringSpecProto |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStats |
Represents the collection of statistics for a metric.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStats.Builder |
Represents the collection of statistics for a metric.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies |
Statistics and anomalies generated by Model Monitoring.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.Builder |
Statistics and anomalies generated by Model Monitoring.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies |
Historical Stats (and Anomalies) for a specific Feature.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
Historical Stats (and Anomalies) for a specific Feature.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint |
Represents a single statistics data point.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.Builder |
Represents a single statistics data point.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue |
Typed value of the statistics.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue.Builder |
Typed value of the statistics.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue |
Summary statistics for a population of values.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder |
Summary statistics for a population of values.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsProto |
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringTabularStats |
A collection of data points that describes the time-varying values of a
tabular metric.
|
com.google.cloud.aiplatform.v1beta1.ModelMonitoringTabularStats.Builder |
A collection of data points that describes the time-varying values of a
tabular metric.
|
com.google.cloud.aiplatform.v1beta1.ModelName |
|
com.google.cloud.aiplatform.v1beta1.ModelName.Builder |
Builder for projects/{project}/locations/{location}/models/{model}. |
com.google.cloud.aiplatform.v1beta1.ModelProto |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationSlicesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationSlicesPage |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationSlicesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelVersionsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelVersionsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelVersionsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelsPage |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceGrpc |
A service for managing Vertex AI's machine learning Models.
|
com.google.cloud.aiplatform.v1beta1.ModelServiceGrpc.ModelServiceImplBase |
Base class for the server implementation of the service ModelService.
A service for managing Vertex AI's machine learning Models. |
com.google.cloud.aiplatform.v1beta1.ModelServiceProto |
|
com.google.cloud.aiplatform.v1beta1.ModelServiceSettings.Builder |
Builder for ModelServiceSettings. |
com.google.cloud.aiplatform.v1beta1.ModelSourceInfo |
Detail description of the source information of the model.
|
com.google.cloud.aiplatform.v1beta1.ModelSourceInfo.Builder |
Detail description of the source information of the model.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata |
Runtime operation information for
IndexEndpointService.MutateDeployedIndex.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.Builder |
Runtime operation information for
IndexEndpointService.MutateDeployedIndex.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest |
Request message for
IndexEndpointService.MutateDeployedIndex.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.Builder |
Request message for
IndexEndpointService.MutateDeployedIndex.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse |
Response message for
IndexEndpointService.MutateDeployedIndex.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.Builder |
Response message for
IndexEndpointService.MutateDeployedIndex.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedModelOperationMetadata |
Runtime operation information for
EndpointService.MutateDeployedModel.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedModelOperationMetadata.Builder |
Runtime operation information for
EndpointService.MutateDeployedModel.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedModelRequest |
Request message for
EndpointService.MutateDeployedModel.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedModelRequest.Builder |
Request message for
EndpointService.MutateDeployedModel.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedModelResponse |
Response message for
EndpointService.MutateDeployedModel.
|
com.google.cloud.aiplatform.v1beta1.MutateDeployedModelResponse.Builder |
Response message for
EndpointService.MutateDeployedModel.
|
com.google.cloud.aiplatform.v1beta1.NasJob |
Represents a Neural Architecture Search (NAS) job.
|
com.google.cloud.aiplatform.v1beta1.NasJob.Builder |
Represents a Neural Architecture Search (NAS) job.
|
com.google.cloud.aiplatform.v1beta1.NasJobName |
|
com.google.cloud.aiplatform.v1beta1.NasJobName.Builder |
Builder for projects/{project}/locations/{location}/nasJobs/{nas_job}. |
com.google.cloud.aiplatform.v1beta1.NasJobOutput |
Represents a uCAIP NasJob output.
|
com.google.cloud.aiplatform.v1beta1.NasJobOutput.Builder |
Represents a uCAIP NasJob output.
|
com.google.cloud.aiplatform.v1beta1.NasJobOutput.MultiTrialJobOutput |
The output of a multi-trial Neural Architecture Search (NAS) jobs.
|
com.google.cloud.aiplatform.v1beta1.NasJobOutput.MultiTrialJobOutput.Builder |
The output of a multi-trial Neural Architecture Search (NAS) jobs.
|
com.google.cloud.aiplatform.v1beta1.NasJobProto |
|
com.google.cloud.aiplatform.v1beta1.NasJobSpec |
Represents the spec of a NasJob.
|
com.google.cloud.aiplatform.v1beta1.NasJobSpec.Builder |
Represents the spec of a NasJob.
|
com.google.cloud.aiplatform.v1beta1.NasJobSpec.MultiTrialAlgorithmSpec |
The spec of multi-trial Neural Architecture Search (NAS).
|
com.google.cloud.aiplatform.v1beta1.NasJobSpec.MultiTrialAlgorithmSpec.Builder |
The spec of multi-trial Neural Architecture Search (NAS).
|
com.google.cloud.aiplatform.v1beta1.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec |
Represents a metric to optimize.
|
com.google.cloud.aiplatform.v1beta1.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec.Builder |
Represents a metric to optimize.
|
com.google.cloud.aiplatform.v1beta1.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec |
Represent spec for search trials.
|
com.google.cloud.aiplatform.v1beta1.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec.Builder |
Represent spec for search trials.
|
com.google.cloud.aiplatform.v1beta1.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec |
Represent spec for train trials.
|
com.google.cloud.aiplatform.v1beta1.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder |
Represent spec for train trials.
|
com.google.cloud.aiplatform.v1beta1.NasTrial |
Represents a uCAIP NasJob trial.
|
com.google.cloud.aiplatform.v1beta1.NasTrial.Builder |
Represents a uCAIP NasJob trial.
|
com.google.cloud.aiplatform.v1beta1.NasTrialDetail |
Represents a NasTrial details along with its parameters. If there is a
corresponding train NasTrial, the train NasTrial is also returned.
|
com.google.cloud.aiplatform.v1beta1.NasTrialDetail.Builder |
Represents a NasTrial details along with its parameters. If there is a
corresponding train NasTrial, the train NasTrial is also returned.
|
com.google.cloud.aiplatform.v1beta1.NasTrialDetailName |
|
com.google.cloud.aiplatform.v1beta1.NasTrialDetailName.Builder |
Builder for
projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}. |
com.google.cloud.aiplatform.v1beta1.NearestNeighborQuery |
A query to find a number of similar entities.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighborQuery.Builder |
A query to find a number of similar entities.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighborQuery.Embedding |
The embedding vector.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighborQuery.Embedding.Builder |
The embedding vector.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighborQuery.Parameters |
Parameters that can be overrided in each query to tune query latency and
recall.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighborQuery.Parameters.Builder |
Parameters that can be overrided in each query to tune query latency and
recall.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighborQuery.StringFilter |
String filter is used to search a subset of the entities by using boolean
rules on string columns.
For example: if a query specifies string filter |
com.google.cloud.aiplatform.v1beta1.NearestNeighborQuery.StringFilter.Builder |
String filter is used to search a subset of the entities by using boolean
rules on string columns.
For example: if a query specifies string filter |
com.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata |
Runtime operation metadata with regard to Matching Engine Index.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.Builder |
Runtime operation metadata with regard to Matching Engine Index.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats |
Protobuf type
google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats |
com.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.Builder |
Protobuf type
google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats |
com.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError |
Protobuf type
google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError |
com.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.Builder |
Protobuf type
google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError |
com.google.cloud.aiplatform.v1beta1.NearestNeighbors |
Nearest neighbors for one query.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighbors.Builder |
Nearest neighbors for one query.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighbors.Neighbor |
A neighbor of the query vector.
|
com.google.cloud.aiplatform.v1beta1.NearestNeighbors.Neighbor.Builder |
A neighbor of the query vector.
|
com.google.cloud.aiplatform.v1beta1.Neighbor |
Neighbors for example-based explanations.
|
com.google.cloud.aiplatform.v1beta1.Neighbor.Builder |
Neighbors for example-based explanations.
|
com.google.cloud.aiplatform.v1beta1.NetworkSpec |
Network spec.
|
com.google.cloud.aiplatform.v1beta1.NetworkSpec.Builder |
Network spec.
|
com.google.cloud.aiplatform.v1beta1.NetworkSpecProto |
|
com.google.cloud.aiplatform.v1beta1.NfsMount |
Represents a mount configuration for Network File System (NFS) to mount.
|
com.google.cloud.aiplatform.v1beta1.NfsMount.Builder |
Represents a mount configuration for Network File System (NFS) to mount.
|
com.google.cloud.aiplatform.v1beta1.NotebookEucConfig |
The euc configuration of NotebookRuntimeTemplate.
|
com.google.cloud.aiplatform.v1beta1.NotebookEucConfig.Builder |
The euc configuration of NotebookRuntimeTemplate.
|
com.google.cloud.aiplatform.v1beta1.NotebookEucConfigProto |
|
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJob |
NotebookExecutionJob represents an instance of a notebook execution.
|
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJob.Builder |
NotebookExecutionJob represents an instance of a notebook execution.
|
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJob.DataformRepositorySource |
The Dataform Repository containing the input notebook.
|
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJob.DataformRepositorySource.Builder |
The Dataform Repository containing the input notebook.
|
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJob.DirectNotebookSource |
The content of the input notebook in ipynb format.
|
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJob.DirectNotebookSource.Builder |
The content of the input notebook in ipynb format.
|
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJob.GcsNotebookSource |
The Cloud Storage uri for the input notebook.
|
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJob.GcsNotebookSource.Builder |
The Cloud Storage uri for the input notebook.
|
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJobName |
|
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJobName.Builder |
Builder for
projects/{project}/locations/{location}/notebookExecutionJobs/{notebook_execution_job}. |
com.google.cloud.aiplatform.v1beta1.NotebookExecutionJobProto |
|
com.google.cloud.aiplatform.v1beta1.NotebookIdleShutdownConfig |
The idle shutdown configuration of NotebookRuntimeTemplate, which contains
the idle_timeout as required field.
|
com.google.cloud.aiplatform.v1beta1.NotebookIdleShutdownConfig.Builder |
The idle shutdown configuration of NotebookRuntimeTemplate, which contains
the idle_timeout as required field.
|
com.google.cloud.aiplatform.v1beta1.NotebookIdleShutdownConfigProto |
|
com.google.cloud.aiplatform.v1beta1.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. |
com.google.cloud.aiplatform.v1beta1.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. |
com.google.cloud.aiplatform.v1beta1.NotebookRuntimeName |
|
com.google.cloud.aiplatform.v1beta1.NotebookRuntimeName.Builder |
Builder for projects/{project}/locations/{location}/notebookRuntimes/{notebook_runtime}. |
com.google.cloud.aiplatform.v1beta1.NotebookRuntimeProto |
|
com.google.cloud.aiplatform.v1beta1.NotebookRuntimeTemplate |
A template that specifies runtime configurations such as machine type,
runtime version, network configurations, etc.
Multiple runtimes can be created from a runtime template. |
com.google.cloud.aiplatform.v1beta1.NotebookRuntimeTemplate.Builder |
A template that specifies runtime configurations such as machine type,
runtime version, network configurations, etc.
Multiple runtimes can be created from a runtime template. |
com.google.cloud.aiplatform.v1beta1.NotebookRuntimeTemplateName |
|
com.google.cloud.aiplatform.v1beta1.NotebookRuntimeTemplateName.Builder |
Builder for
projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}. |
com.google.cloud.aiplatform.v1beta1.NotebookRuntimeTemplateRef |
Points to a NotebookRuntimeTemplateRef.
|
com.google.cloud.aiplatform.v1beta1.NotebookRuntimeTemplateRef.Builder |
Points to a NotebookRuntimeTemplateRef.
|
com.google.cloud.aiplatform.v1beta1.NotebookRuntimeTemplateRefProto |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListNotebookExecutionJobsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListNotebookExecutionJobsPage |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListNotebookExecutionJobsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListNotebookRuntimeTemplatesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListNotebookRuntimeTemplatesPage |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListNotebookRuntimeTemplatesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListNotebookRuntimesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListNotebookRuntimesPage |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceClient.ListNotebookRuntimesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceGrpc |
The interface for Vertex Notebook service (a.k.a. Colab on Workbench).
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceGrpc.NotebookServiceImplBase |
Base class for the server implementation of the service NotebookService.
The interface for Vertex Notebook service (a.k.a. Colab on Workbench). |
com.google.cloud.aiplatform.v1beta1.NotebookServiceProto |
|
com.google.cloud.aiplatform.v1beta1.NotebookServiceSettings.Builder |
Builder for NotebookServiceSettings. |
com.google.cloud.aiplatform.v1beta1.OpenApiProto |
|
com.google.cloud.aiplatform.v1beta1.OperationProto |
|
com.google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInput |
Input for pairwise question answering quality metric.
|
com.google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInput.Builder |
Input for pairwise question answering quality metric.
|
com.google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInstance |
Spec for pairwise question answering quality instance.
|
com.google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInstance.Builder |
Spec for pairwise question answering quality instance.
|
com.google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityResult |
Spec for pairwise question answering quality result.
|
com.google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityResult.Builder |
Spec for pairwise question answering quality result.
|
com.google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualitySpec |
Spec for pairwise question answering quality score metric.
|
com.google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualitySpec.Builder |
Spec for pairwise question answering quality score metric.
|
com.google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInput |
Input for pairwise summarization quality metric.
|
com.google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInput.Builder |
Input for pairwise summarization quality metric.
|
com.google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInstance |
Spec for pairwise summarization quality instance.
|
com.google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInstance.Builder |
Spec for pairwise summarization quality instance.
|
com.google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityResult |
Spec for pairwise summarization quality result.
|
com.google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityResult.Builder |
Spec for pairwise summarization quality result.
|
com.google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualitySpec |
Spec for pairwise summarization quality score metric.
|
com.google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualitySpec.Builder |
Spec for pairwise summarization quality score metric.
|
com.google.cloud.aiplatform.v1beta1.Part |
A datatype containing media that is part of a multi-part Content message.
A Part consists of data which has an associated datatype. A Part can only |
com.google.cloud.aiplatform.v1beta1.Part.Builder |
A datatype containing media that is part of a multi-part Content message.
A Part consists of data which has an associated datatype. A Part can only |
com.google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest |
Request message for
JobService.PauseModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest.Builder |
Request message for
JobService.PauseModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.PauseScheduleRequest |
Request message for
ScheduleService.PauseSchedule.
|
com.google.cloud.aiplatform.v1beta1.PauseScheduleRequest.Builder |
Request message for
ScheduleService.PauseSchedule.
|
com.google.cloud.aiplatform.v1beta1.PersistentDiskSpec |
Represents the spec of persistent
disk options.
|
com.google.cloud.aiplatform.v1beta1.PersistentDiskSpec.Builder |
Represents the spec of persistent
disk options.
|
com.google.cloud.aiplatform.v1beta1.PersistentResource |
Represents long-lasting resources that are dedicated to users to runs custom
workloads.
A PersistentResource can have multiple node pools and each node |
com.google.cloud.aiplatform.v1beta1.PersistentResource.Builder |
Represents long-lasting resources that are dedicated to users to runs custom
workloads.
A PersistentResource can have multiple node pools and each node |
com.google.cloud.aiplatform.v1beta1.PersistentResourceName |
|
com.google.cloud.aiplatform.v1beta1.PersistentResourceName.Builder |
Builder for projects/{project}/locations/{location}/persistentResources/{persistent_resource}. |
com.google.cloud.aiplatform.v1beta1.PersistentResourceProto |
|
com.google.cloud.aiplatform.v1beta1.PersistentResourceServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.PersistentResourceServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.PersistentResourceServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.PersistentResourceServiceClient.ListPersistentResourcesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.PersistentResourceServiceClient.ListPersistentResourcesPage |
|
com.google.cloud.aiplatform.v1beta1.PersistentResourceServiceClient.ListPersistentResourcesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.PersistentResourceServiceGrpc |
A service for managing Vertex AI's machine learning PersistentResource.
|
com.google.cloud.aiplatform.v1beta1.PersistentResourceServiceGrpc.PersistentResourceServiceImplBase |
Base class for the server implementation of the service PersistentResourceService.
A service for managing Vertex AI's machine learning PersistentResource. |
com.google.cloud.aiplatform.v1beta1.PersistentResourceServiceProto |
|
com.google.cloud.aiplatform.v1beta1.PersistentResourceServiceSettings.Builder |
Builder for PersistentResourceServiceSettings. |
com.google.cloud.aiplatform.v1beta1.Pipeline |
|
com.google.cloud.aiplatform.v1beta1.PipelineFailurePolicyProto |
|
com.google.cloud.aiplatform.v1beta1.PipelineJob |
An instance of a machine learning PipelineJob.
|
com.google.cloud.aiplatform.v1beta1.PipelineJob.Builder |
An instance of a machine learning PipelineJob.
|
com.google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig |
The runtime config of a PipelineJob.
|
com.google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.Builder |
The runtime config of a PipelineJob.
|
com.google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.InputArtifact |
The type of an input artifact.
|
com.google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.InputArtifact.Builder |
The type of an input artifact.
|
com.google.cloud.aiplatform.v1beta1.PipelineJobDetail |
The runtime detail of PipelineJob.
|
com.google.cloud.aiplatform.v1beta1.PipelineJobDetail.Builder |
The runtime detail of PipelineJob.
|
com.google.cloud.aiplatform.v1beta1.PipelineJobName |
|
com.google.cloud.aiplatform.v1beta1.PipelineJobName.Builder |
Builder for projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}. |
com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListPipelineJobsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListPipelineJobsPage |
|
com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListPipelineJobsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListTrainingPipelinesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListTrainingPipelinesPage |
|
com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListTrainingPipelinesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.PipelineServiceGrpc |
A service for creating and managing Vertex AI's pipelines. This includes both
TrainingPipeline resources (used for AutoML and custom training) and
PipelineJob resources (used for Vertex AI Pipelines). |
com.google.cloud.aiplatform.v1beta1.PipelineServiceGrpc.PipelineServiceImplBase |
Base class for the server implementation of the service PipelineService.
A service for creating and managing Vertex AI's pipelines. This includes both |
com.google.cloud.aiplatform.v1beta1.PipelineServiceProto |
|
com.google.cloud.aiplatform.v1beta1.PipelineServiceSettings.Builder |
Builder for PipelineServiceSettings. |
com.google.cloud.aiplatform.v1beta1.PipelineStateProto |
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskDetail |
The runtime detail of a task execution.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskDetail.ArtifactList |
A list of artifact metadata.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskDetail.ArtifactList.Builder |
A list of artifact metadata.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskDetail.Builder |
The runtime detail of a task execution.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskDetail.PipelineTaskStatus |
A single record of the task status.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskDetail.PipelineTaskStatus.Builder |
A single record of the task status.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail |
The runtime detail of a pipeline executor.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.Builder |
The runtime detail of a pipeline executor.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.ContainerDetail |
The detail of a container execution. It contains the job names of the
lifecycle of a container execution.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.ContainerDetail.Builder |
The detail of a container execution. It contains the job names of the
lifecycle of a container execution.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.CustomJobDetail |
The detailed info for a custom job executor.
|
com.google.cloud.aiplatform.v1beta1.PipelineTaskExecutorDetail.CustomJobDetail.Builder |
The detailed info for a custom job executor.
|
com.google.cloud.aiplatform.v1beta1.PipelineTemplateMetadata |
Pipeline template metadata if
PipelineJob.template_uri
is from supported template registry. Currently, the only supported registry |
com.google.cloud.aiplatform.v1beta1.PipelineTemplateMetadata.Builder |
Pipeline template metadata if
PipelineJob.template_uri
is from supported template registry. Currently, the only supported registry |
com.google.cloud.aiplatform.v1beta1.Port |
Represents a network port in a container.
|
com.google.cloud.aiplatform.v1beta1.Port.Builder |
Represents a network port in a container.
|
com.google.cloud.aiplatform.v1beta1.PredefinedSplit |
Assigns input data to training, validation, and test sets based on the
value of a provided key.
|
com.google.cloud.aiplatform.v1beta1.PredefinedSplit.Builder |
Assigns input data to training, validation, and test sets based on the
value of a provided key.
|
com.google.cloud.aiplatform.v1beta1.PredictRequest |
Request message for
PredictionService.Predict.
|
com.google.cloud.aiplatform.v1beta1.PredictRequest.Builder |
Request message for
PredictionService.Predict.
|
com.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig |
Configuration for logging request-response to a BigQuery table.
|
com.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.Builder |
Configuration for logging request-response to a BigQuery table.
|
com.google.cloud.aiplatform.v1beta1.PredictResponse |
Response message for
PredictionService.Predict.
|
com.google.cloud.aiplatform.v1beta1.PredictResponse.Builder |
Response message for
PredictionService.Predict.
|
com.google.cloud.aiplatform.v1beta1.PredictSchemata |
Contains the schemata used in Model's predictions and explanations via
PredictionService.Predict,
PredictionService.Explain |
com.google.cloud.aiplatform.v1beta1.PredictSchemata.Builder |
Contains the schemata used in Model's predictions and explanations via
PredictionService.Predict,
PredictionService.Explain |
com.google.cloud.aiplatform.v1beta1.PredictionServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.PredictionServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.PredictionServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.PredictionServiceGrpc |
A service for online predictions and explanations.
|
com.google.cloud.aiplatform.v1beta1.PredictionServiceGrpc.PredictionServiceImplBase |
Base class for the server implementation of the service PredictionService.
A service for online predictions and explanations. |
com.google.cloud.aiplatform.v1beta1.PredictionServiceProto |
|
com.google.cloud.aiplatform.v1beta1.PredictionServiceSettings.Builder |
Builder for PredictionServiceSettings. |
com.google.cloud.aiplatform.v1beta1.Presets |
Preset configuration for example-based explanations
|
com.google.cloud.aiplatform.v1beta1.Presets.Builder |
Preset configuration for example-based explanations
|
com.google.cloud.aiplatform.v1beta1.PrivateEndpoints |
PrivateEndpoints proto is used to provide paths for users to send
requests privately.
To send request via private service access, use predict_http_uri, |
com.google.cloud.aiplatform.v1beta1.PrivateEndpoints.Builder |
PrivateEndpoints proto is used to provide paths for users to send
requests privately.
To send request via private service access, use predict_http_uri, |
com.google.cloud.aiplatform.v1beta1.PrivateServiceConnectConfig |
Represents configuration for private service connect.
|
com.google.cloud.aiplatform.v1beta1.PrivateServiceConnectConfig.Builder |
Represents configuration for private service connect.
|
com.google.cloud.aiplatform.v1beta1.Probe |
Probe describes a health check to be performed against a container to
determine whether it is alive or ready to receive traffic.
|
com.google.cloud.aiplatform.v1beta1.Probe.Builder |
Probe describes a health check to be performed against a container to
determine whether it is alive or ready to receive traffic.
|
com.google.cloud.aiplatform.v1beta1.Probe.ExecAction |
ExecAction specifies a command to execute.
|
com.google.cloud.aiplatform.v1beta1.Probe.ExecAction.Builder |
ExecAction specifies a command to execute.
|
com.google.cloud.aiplatform.v1beta1.ProjectName |
|
com.google.cloud.aiplatform.v1beta1.ProjectName.Builder |
Builder for projects/{project}. |
com.google.cloud.aiplatform.v1beta1.PscAutomatedEndpoints |
PscAutomatedEndpoints defines the output of the forwarding rule
automatically created by each PscAutomationConfig.
|
com.google.cloud.aiplatform.v1beta1.PscAutomatedEndpoints.Builder |
PscAutomatedEndpoints defines the output of the forwarding rule
automatically created by each PscAutomationConfig.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel |
A Model Garden Publisher Model.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.Builder |
A Model Garden Publisher Model.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction |
Actions could take on this Publisher Model.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.Builder |
Actions could take on this Publisher Model.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.Deploy |
Model metadata that is needed for UploadModel or
DeployModel/CreateEndpoint requests.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.Deploy.Builder |
Model metadata that is needed for UploadModel or
DeployModel/CreateEndpoint requests.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.DeployGke |
Configurations for PublisherModel GKE deployment
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.DeployGke.Builder |
Configurations for PublisherModel GKE deployment
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.OpenFineTuningPipelines |
Open fine tuning pipelines.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.OpenFineTuningPipelines.Builder |
Open fine tuning pipelines.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.OpenNotebooks |
Open notebooks.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.OpenNotebooks.Builder |
Open notebooks.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.RegionalResourceReferences |
The regional resource name or the URI. Key is region, e.g.,
us-central1, europe-west2, global, etc..
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.RegionalResourceReferences.Builder |
The regional resource name or the URI. Key is region, e.g.,
us-central1, europe-west2, global, etc..
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.ViewRestApi |
Rest API docs.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.CallToAction.ViewRestApi.Builder |
Rest API docs.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.Documentation |
A named piece of documentation.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.Documentation.Builder |
A named piece of documentation.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.Parent |
The information about the parent of a model.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.Parent.Builder |
The information about the parent of a model.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.ResourceReference |
Reference to a resource.
|
com.google.cloud.aiplatform.v1beta1.PublisherModel.ResourceReference.Builder |
Reference to a resource.
|
com.google.cloud.aiplatform.v1beta1.PublisherModelName |
|
com.google.cloud.aiplatform.v1beta1.PublisherModelName.Builder |
Builder for publishers/{publisher}/models/{model}. |
com.google.cloud.aiplatform.v1beta1.PublisherModelProto |
|
com.google.cloud.aiplatform.v1beta1.PurgeArtifactsMetadata |
Details of operations that perform
MetadataService.PurgeArtifacts.
|
com.google.cloud.aiplatform.v1beta1.PurgeArtifactsMetadata.Builder |
Details of operations that perform
MetadataService.PurgeArtifacts.
|
com.google.cloud.aiplatform.v1beta1.PurgeArtifactsRequest |
Request message for
MetadataService.PurgeArtifacts.
|
com.google.cloud.aiplatform.v1beta1.PurgeArtifactsRequest.Builder |
Request message for
MetadataService.PurgeArtifacts.
|
com.google.cloud.aiplatform.v1beta1.PurgeArtifactsResponse |
Response message for
MetadataService.PurgeArtifacts.
|
com.google.cloud.aiplatform.v1beta1.PurgeArtifactsResponse.Builder |
Response message for
MetadataService.PurgeArtifacts.
|
com.google.cloud.aiplatform.v1beta1.PurgeContextsMetadata |
Details of operations that perform
MetadataService.PurgeContexts.
|
com.google.cloud.aiplatform.v1beta1.PurgeContextsMetadata.Builder |
Details of operations that perform
MetadataService.PurgeContexts.
|
com.google.cloud.aiplatform.v1beta1.PurgeContextsRequest |
Request message for
MetadataService.PurgeContexts.
|
com.google.cloud.aiplatform.v1beta1.PurgeContextsRequest.Builder |
Request message for
MetadataService.PurgeContexts.
|
com.google.cloud.aiplatform.v1beta1.PurgeContextsResponse |
Response message for
MetadataService.PurgeContexts.
|
com.google.cloud.aiplatform.v1beta1.PurgeContextsResponse.Builder |
Response message for
MetadataService.PurgeContexts.
|
com.google.cloud.aiplatform.v1beta1.PurgeExecutionsMetadata |
Details of operations that perform
MetadataService.PurgeExecutions.
|
com.google.cloud.aiplatform.v1beta1.PurgeExecutionsMetadata.Builder |
Details of operations that perform
MetadataService.PurgeExecutions.
|
com.google.cloud.aiplatform.v1beta1.PurgeExecutionsRequest |
Request message for
MetadataService.PurgeExecutions.
|
com.google.cloud.aiplatform.v1beta1.PurgeExecutionsRequest.Builder |
Request message for
MetadataService.PurgeExecutions.
|
com.google.cloud.aiplatform.v1beta1.PurgeExecutionsResponse |
Response message for
MetadataService.PurgeExecutions.
|
com.google.cloud.aiplatform.v1beta1.PurgeExecutionsResponse.Builder |
Response message for
MetadataService.PurgeExecutions.
|
com.google.cloud.aiplatform.v1beta1.PythonPackageSpec |
The spec of a Python packaged code.
|
com.google.cloud.aiplatform.v1beta1.PythonPackageSpec.Builder |
The spec of a Python packaged code.
|
com.google.cloud.aiplatform.v1beta1.QueryArtifactLineageSubgraphRequest |
Request message for
MetadataService.QueryArtifactLineageSubgraph.
|
com.google.cloud.aiplatform.v1beta1.QueryArtifactLineageSubgraphRequest.Builder |
Request message for
MetadataService.QueryArtifactLineageSubgraph.
|
com.google.cloud.aiplatform.v1beta1.QueryContextLineageSubgraphRequest |
Request message for
MetadataService.QueryContextLineageSubgraph.
|
com.google.cloud.aiplatform.v1beta1.QueryContextLineageSubgraphRequest.Builder |
Request message for
MetadataService.QueryContextLineageSubgraph.
|
com.google.cloud.aiplatform.v1beta1.QueryDeployedModelsRequest |
Request message for QueryDeployedModels method.
|
com.google.cloud.aiplatform.v1beta1.QueryDeployedModelsRequest.Builder |
Request message for QueryDeployedModels method.
|
com.google.cloud.aiplatform.v1beta1.QueryDeployedModelsResponse |
Response message for QueryDeployedModels method.
|
com.google.cloud.aiplatform.v1beta1.QueryDeployedModelsResponse.Builder |
Response message for QueryDeployedModels method.
|
com.google.cloud.aiplatform.v1beta1.QueryExecutionInputsAndOutputsRequest |
Request message for
MetadataService.QueryExecutionInputsAndOutputs.
|
com.google.cloud.aiplatform.v1beta1.QueryExecutionInputsAndOutputsRequest.Builder |
Request message for
MetadataService.QueryExecutionInputsAndOutputs.
|
com.google.cloud.aiplatform.v1beta1.QueryExtensionRequest |
Request message for
ExtensionExecutionService.QueryExtension.
|
com.google.cloud.aiplatform.v1beta1.QueryExtensionRequest.Builder |
Request message for
ExtensionExecutionService.QueryExtension.
|
com.google.cloud.aiplatform.v1beta1.QueryExtensionResponse |
Response message for
ExtensionExecutionService.QueryExtension.
|
com.google.cloud.aiplatform.v1beta1.QueryExtensionResponse.Builder |
Response message for
ExtensionExecutionService.QueryExtension.
|
com.google.cloud.aiplatform.v1beta1.QueryReasoningEngineRequest |
Request message for [ReasoningEngineExecutionService.Query][].
|
com.google.cloud.aiplatform.v1beta1.QueryReasoningEngineRequest.Builder |
Request message for [ReasoningEngineExecutionService.Query][].
|
com.google.cloud.aiplatform.v1beta1.QueryReasoningEngineResponse |
Response message for [ReasoningEngineExecutionService.Query][]
|
com.google.cloud.aiplatform.v1beta1.QueryReasoningEngineResponse.Builder |
Response message for [ReasoningEngineExecutionService.Query][]
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInput |
Input for question answering correctness metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInput.Builder |
Input for question answering correctness metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInstance |
Spec for question answering correctness instance.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInstance.Builder |
Spec for question answering correctness instance.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessResult |
Spec for question answering correctness result.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessResult.Builder |
Spec for question answering correctness result.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessSpec |
Spec for question answering correctness metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessSpec.Builder |
Spec for question answering correctness metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInput |
Input for question answering helpfulness metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInput.Builder |
Input for question answering helpfulness metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInstance |
Spec for question answering helpfulness instance.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInstance.Builder |
Spec for question answering helpfulness instance.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessResult |
Spec for question answering helpfulness result.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessResult.Builder |
Spec for question answering helpfulness result.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessSpec |
Spec for question answering helpfulness metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessSpec.Builder |
Spec for question answering helpfulness metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInput |
Input for question answering quality metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInput.Builder |
Input for question answering quality metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInstance |
Spec for question answering quality instance.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInstance.Builder |
Spec for question answering quality instance.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityResult |
Spec for question answering quality result.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityResult.Builder |
Spec for question answering quality result.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringQualitySpec |
Spec for question answering quality score metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringQualitySpec.Builder |
Spec for question answering quality score metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInput |
Input for question answering relevance metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInput.Builder |
Input for question answering relevance metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInstance |
Spec for question answering relevance instance.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInstance.Builder |
Spec for question answering relevance instance.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceResult |
Spec for question answering relevance result.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceResult.Builder |
Spec for question answering relevance result.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceSpec |
Spec for question answering relevance metric.
|
com.google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceSpec.Builder |
Spec for question answering relevance metric.
|
com.google.cloud.aiplatform.v1beta1.RagContexts |
Relevant contexts for one query.
|
com.google.cloud.aiplatform.v1beta1.RagContexts.Builder |
Relevant contexts for one query.
|
com.google.cloud.aiplatform.v1beta1.RagContexts.Context |
A context of the query.
|
com.google.cloud.aiplatform.v1beta1.RagContexts.Context.Builder |
A context of the query.
|
com.google.cloud.aiplatform.v1beta1.RagCorpus |
A RagCorpus is a RagFile container and a project can have multiple
RagCorpora.
|
com.google.cloud.aiplatform.v1beta1.RagCorpus.Builder |
A RagCorpus is a RagFile container and a project can have multiple
RagCorpora.
|
com.google.cloud.aiplatform.v1beta1.RagCorpusName |
|
com.google.cloud.aiplatform.v1beta1.RagCorpusName.Builder |
Builder for projects/{project}/locations/{location}/ragCorpora/{rag_corpus}. |
com.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig |
Config for the embedding model to use for RAG.
|
com.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.Builder |
Config for the embedding model to use for RAG.
|
com.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint |
Config representing a model hosted on Vertex Prediction Endpoint.
|
com.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint.Builder |
Config representing a model hosted on Vertex Prediction Endpoint.
|
com.google.cloud.aiplatform.v1beta1.RagFile |
A RagFile contains user data for chunking, embedding and indexing.
|
com.google.cloud.aiplatform.v1beta1.RagFile.Builder |
A RagFile contains user data for chunking, embedding and indexing.
|
com.google.cloud.aiplatform.v1beta1.RagFileChunkingConfig |
Specifies the size and overlap of chunks for RagFiles.
|
com.google.cloud.aiplatform.v1beta1.RagFileChunkingConfig.Builder |
Specifies the size and overlap of chunks for RagFiles.
|
com.google.cloud.aiplatform.v1beta1.RagFileName |
|
com.google.cloud.aiplatform.v1beta1.RagFileName.Builder |
Builder for
projects/{project}/locations/{location}/ragCorpora/{rag_corpus}/ragFiles/{rag_file}. |
com.google.cloud.aiplatform.v1beta1.RagQuery |
A query to retrieve relevant contexts.
|
com.google.cloud.aiplatform.v1beta1.RagQuery.Builder |
A query to retrieve relevant contexts.
|
com.google.cloud.aiplatform.v1beta1.RawPredictRequest |
Request message for
PredictionService.RawPredict.
|
com.google.cloud.aiplatform.v1beta1.RawPredictRequest.Builder |
Request message for
PredictionService.RawPredict.
|
com.google.cloud.aiplatform.v1beta1.RayMetricSpec |
Configuration for the Ray metrics.
|
com.google.cloud.aiplatform.v1beta1.RayMetricSpec.Builder |
Configuration for the Ray metrics.
|
com.google.cloud.aiplatform.v1beta1.RaySpec |
Configuration information for the Ray cluster.
For experimental launch, Ray cluster creation and Persistent
cluster creation are 1:1 mapping: We will provision all the nodes within the |
com.google.cloud.aiplatform.v1beta1.RaySpec.Builder |
Configuration information for the Ray cluster.
For experimental launch, Ray cluster creation and Persistent
cluster creation are 1:1 mapping: We will provision all the nodes within the |
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest |
Request message for
FeaturestoreOnlineServingService.ReadFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.Builder |
Request message for
FeaturestoreOnlineServingService.ReadFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse |
Response message for
FeaturestoreOnlineServingService.ReadFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Builder |
Response message for
FeaturestoreOnlineServingService.ReadFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView |
Entity view with Feature values.
|
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Builder |
Entity view with Feature values.
|
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data |
Container to hold value(s), successive in time, for one Feature from the
request.
|
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.Builder |
Container to hold value(s), successive in time, for one Feature from the
request.
|
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor |
Metadata for requested Features.
|
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.Builder |
Metadata for requested Features.
|
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header |
Response header with metadata for the requested
ReadFeatureValuesRequest.entity_type
and Features. |
com.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.Builder |
Response header with metadata for the requested
ReadFeatureValuesRequest.entity_type
and Features. |
com.google.cloud.aiplatform.v1beta1.ReadIndexDatapointsRequest |
The request message for
MatchService.ReadIndexDatapoints.
|
com.google.cloud.aiplatform.v1beta1.ReadIndexDatapointsRequest.Builder |
The request message for
MatchService.ReadIndexDatapoints.
|
com.google.cloud.aiplatform.v1beta1.ReadIndexDatapointsResponse |
The response message for
MatchService.ReadIndexDatapoints.
|
com.google.cloud.aiplatform.v1beta1.ReadIndexDatapointsResponse.Builder |
The response message for
MatchService.ReadIndexDatapoints.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataRequest |
Request message for
TensorboardService.ReadTensorboardBlobData.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataRequest.Builder |
Request message for
TensorboardService.ReadTensorboardBlobData.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse |
Response message for
TensorboardService.ReadTensorboardBlobData.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse.Builder |
Response message for
TensorboardService.ReadTensorboardBlobData.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardSizeRequest |
Request message for
TensorboardService.ReadTensorboardSize.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardSizeRequest.Builder |
Request message for
TensorboardService.ReadTensorboardSize.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardSizeResponse |
Response message for
TensorboardService.ReadTensorboardSize.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardSizeResponse.Builder |
Response message for
TensorboardService.ReadTensorboardSize.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest |
Request message for
TensorboardService.ReadTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest.Builder |
Request message for
TensorboardService.ReadTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse |
Response message for
TensorboardService.ReadTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse.Builder |
Response message for
TensorboardService.ReadTensorboardTimeSeriesData.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest |
Request message for
TensorboardService.ReadTensorboardUsage.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest.Builder |
Request message for
TensorboardService.ReadTensorboardUsage.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse |
Response message for
TensorboardService.ReadTensorboardUsage.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.Builder |
Response message for
TensorboardService.ReadTensorboardUsage.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData |
Per month usage data
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData.Builder |
Per month usage data
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData |
Per user usage data.
|
com.google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData.Builder |
Per user usage data.
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngine |
ReasoningEngine provides a customizable runtime for models to determine
which actions to take and in which order.
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngine.Builder |
ReasoningEngine provides a customizable runtime for models to determine
which actions to take and in which order.
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionServiceGrpc |
A service for executing queries on Reasoning Engine.
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionServiceGrpc.ReasoningEngineExecutionServiceImplBase |
Base class for the server implementation of the service ReasoningEngineExecutionService.
A service for executing queries on Reasoning Engine. |
com.google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionServiceProto |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionServiceSettings.Builder |
Builder for ReasoningEngineExecutionServiceSettings. |
com.google.cloud.aiplatform.v1beta1.ReasoningEngineName |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineName.Builder |
Builder for projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}. |
com.google.cloud.aiplatform.v1beta1.ReasoningEngineProto |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineServiceClient.ListReasoningEnginesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineServiceClient.ListReasoningEnginesPage |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineServiceClient.ListReasoningEnginesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineServiceGrpc |
A service for managing Vertex AI's Reasoning Engines.
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineServiceGrpc.ReasoningEngineServiceImplBase |
Base class for the server implementation of the service ReasoningEngineService.
A service for managing Vertex AI's Reasoning Engines. |
com.google.cloud.aiplatform.v1beta1.ReasoningEngineServiceProto |
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineServiceSettings.Builder |
Builder for ReasoningEngineServiceSettings. |
com.google.cloud.aiplatform.v1beta1.ReasoningEngineSpec |
ReasoningEngine configurations
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineSpec.Builder |
ReasoningEngine configurations
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineSpec.PackageSpec |
User provided package spec like pickled object and package requirements.
|
com.google.cloud.aiplatform.v1beta1.ReasoningEngineSpec.PackageSpec.Builder |
User provided package spec like pickled object and package requirements.
|
com.google.cloud.aiplatform.v1beta1.RebootPersistentResourceOperationMetadata |
Details of operations that perform reboot PersistentResource.
|
com.google.cloud.aiplatform.v1beta1.RebootPersistentResourceOperationMetadata.Builder |
Details of operations that perform reboot PersistentResource.
|
com.google.cloud.aiplatform.v1beta1.RebootPersistentResourceRequest |
Request message for
PersistentResourceService.RebootPersistentResource.
|
com.google.cloud.aiplatform.v1beta1.RebootPersistentResourceRequest.Builder |
Request message for
PersistentResourceService.RebootPersistentResource.
|
com.google.cloud.aiplatform.v1beta1.RemoveContextChildrenRequest |
Request message for
[MetadataService.DeleteContextChildrenRequest][].
|
com.google.cloud.aiplatform.v1beta1.RemoveContextChildrenRequest.Builder |
Request message for
[MetadataService.DeleteContextChildrenRequest][].
|
com.google.cloud.aiplatform.v1beta1.RemoveContextChildrenResponse |
Response message for
MetadataService.RemoveContextChildren.
|
com.google.cloud.aiplatform.v1beta1.RemoveContextChildrenResponse.Builder |
Response message for
MetadataService.RemoveContextChildren.
|
com.google.cloud.aiplatform.v1beta1.RemoveDatapointsRequest |
Request message for
IndexService.RemoveDatapoints
|
com.google.cloud.aiplatform.v1beta1.RemoveDatapointsRequest.Builder |
Request message for
IndexService.RemoveDatapoints
|
com.google.cloud.aiplatform.v1beta1.RemoveDatapointsResponse |
Response message for
IndexService.RemoveDatapoints
|
com.google.cloud.aiplatform.v1beta1.RemoveDatapointsResponse.Builder |
Response message for
IndexService.RemoveDatapoints
|
com.google.cloud.aiplatform.v1beta1.ResourcePool |
Represents the spec of a group of resources of the same type,
for example machine type, disk, and accelerators, in a PersistentResource.
|
com.google.cloud.aiplatform.v1beta1.ResourcePool.AutoscalingSpec |
The min/max number of replicas allowed if enabling autoscaling
|
com.google.cloud.aiplatform.v1beta1.ResourcePool.AutoscalingSpec.Builder |
The min/max number of replicas allowed if enabling autoscaling
|
com.google.cloud.aiplatform.v1beta1.ResourcePool.Builder |
Represents the spec of a group of resources of the same type,
for example machine type, disk, and accelerators, in a PersistentResource.
|
com.google.cloud.aiplatform.v1beta1.ResourceRuntime |
Persistent Cluster runtime information as output
|
com.google.cloud.aiplatform.v1beta1.ResourceRuntime.Builder |
Persistent Cluster runtime information as output
|
com.google.cloud.aiplatform.v1beta1.ResourceRuntimeSpec |
Configuration for the runtime on a PersistentResource instance, including
but not limited to:
|
com.google.cloud.aiplatform.v1beta1.ResourceRuntimeSpec.Builder |
Configuration for the runtime on a PersistentResource instance, including
but not limited to:
|
com.google.cloud.aiplatform.v1beta1.ResourcesConsumed |
Statistics information about resource consumption.
|
com.google.cloud.aiplatform.v1beta1.ResourcesConsumed.Builder |
Statistics information about resource consumption.
|
com.google.cloud.aiplatform.v1beta1.RestoreDatasetVersionOperationMetadata |
Runtime operation information for
DatasetService.RestoreDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.RestoreDatasetVersionOperationMetadata.Builder |
Runtime operation information for
DatasetService.RestoreDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.RestoreDatasetVersionRequest |
Request message for
DatasetService.RestoreDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.RestoreDatasetVersionRequest.Builder |
Request message for
DatasetService.RestoreDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest |
Request message for
JobService.ResumeModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest.Builder |
Request message for
JobService.ResumeModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.ResumeScheduleRequest |
Request message for
ScheduleService.ResumeSchedule.
|
com.google.cloud.aiplatform.v1beta1.ResumeScheduleRequest.Builder |
Request message for
ScheduleService.ResumeSchedule.
|
com.google.cloud.aiplatform.v1beta1.Retrieval |
Defines a retrieval tool that model can call to access external knowledge.
|
com.google.cloud.aiplatform.v1beta1.Retrieval.Builder |
Defines a retrieval tool that model can call to access external knowledge.
|
com.google.cloud.aiplatform.v1beta1.RetrieveContextsRequest |
Request message for
VertexRagService.RetrieveContexts.
|
com.google.cloud.aiplatform.v1beta1.RetrieveContextsRequest.Builder |
Request message for
VertexRagService.RetrieveContexts.
|
com.google.cloud.aiplatform.v1beta1.RetrieveContextsRequest.VertexRagStore |
The data source for Vertex RagStore.
|
com.google.cloud.aiplatform.v1beta1.RetrieveContextsRequest.VertexRagStore.Builder |
The data source for Vertex RagStore.
|
com.google.cloud.aiplatform.v1beta1.RetrieveContextsRequest.VertexRagStore.RagResource |
The definition of the Rag resource.
|
com.google.cloud.aiplatform.v1beta1.RetrieveContextsRequest.VertexRagStore.RagResource.Builder |
The definition of the Rag resource.
|
com.google.cloud.aiplatform.v1beta1.RetrieveContextsResponse |
Response message for
VertexRagService.RetrieveContexts.
|
com.google.cloud.aiplatform.v1beta1.RetrieveContextsResponse.Builder |
Response message for
VertexRagService.RetrieveContexts.
|
com.google.cloud.aiplatform.v1beta1.RougeInput |
Input for rouge metric.
|
com.google.cloud.aiplatform.v1beta1.RougeInput.Builder |
Input for rouge metric.
|
com.google.cloud.aiplatform.v1beta1.RougeInstance |
Spec for rouge instance.
|
com.google.cloud.aiplatform.v1beta1.RougeInstance.Builder |
Spec for rouge instance.
|
com.google.cloud.aiplatform.v1beta1.RougeMetricValue |
Rouge metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.RougeMetricValue.Builder |
Rouge metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.RougeResults |
Results for rouge metric.
|
com.google.cloud.aiplatform.v1beta1.RougeResults.Builder |
Results for rouge metric.
|
com.google.cloud.aiplatform.v1beta1.RougeSpec |
Spec for rouge score metric - calculates the recall of n-grams in prediction
as compared to reference - returns a score ranging between 0 and 1.
|
com.google.cloud.aiplatform.v1beta1.RougeSpec.Builder |
Spec for rouge score metric - calculates the recall of n-grams in prediction
as compared to reference - returns a score ranging between 0 and 1.
|
com.google.cloud.aiplatform.v1beta1.RuntimeConfig |
Runtime configuration to run the extension.
|
com.google.cloud.aiplatform.v1beta1.RuntimeConfig.Builder |
Runtime configuration to run the extension.
|
com.google.cloud.aiplatform.v1beta1.RuntimeConfig.CodeInterpreterRuntimeConfig |
Protobuf type
google.cloud.aiplatform.v1beta1.RuntimeConfig.CodeInterpreterRuntimeConfig |
com.google.cloud.aiplatform.v1beta1.RuntimeConfig.CodeInterpreterRuntimeConfig.Builder |
Protobuf type
google.cloud.aiplatform.v1beta1.RuntimeConfig.CodeInterpreterRuntimeConfig |
com.google.cloud.aiplatform.v1beta1.RuntimeConfig.VertexAISearchRuntimeConfig |
Protobuf type google.cloud.aiplatform.v1beta1.RuntimeConfig.VertexAISearchRuntimeConfig |
com.google.cloud.aiplatform.v1beta1.RuntimeConfig.VertexAISearchRuntimeConfig.Builder |
Protobuf type
google.cloud.aiplatform.v1beta1.RuntimeConfig.VertexAISearchRuntimeConfig |
com.google.cloud.aiplatform.v1beta1.SafetyInput |
Input for safety metric.
|
com.google.cloud.aiplatform.v1beta1.SafetyInput.Builder |
Input for safety metric.
|
com.google.cloud.aiplatform.v1beta1.SafetyInstance |
Spec for safety instance.
|
com.google.cloud.aiplatform.v1beta1.SafetyInstance.Builder |
Spec for safety instance.
|
com.google.cloud.aiplatform.v1beta1.SafetyRating |
Safety rating corresponding to the generated content.
|
com.google.cloud.aiplatform.v1beta1.SafetyRating.Builder |
Safety rating corresponding to the generated content.
|
com.google.cloud.aiplatform.v1beta1.SafetyResult |
Spec for safety result.
|
com.google.cloud.aiplatform.v1beta1.SafetyResult.Builder |
Spec for safety result.
|
com.google.cloud.aiplatform.v1beta1.SafetySetting |
Safety settings.
|
com.google.cloud.aiplatform.v1beta1.SafetySetting.Builder |
Safety settings.
|
com.google.cloud.aiplatform.v1beta1.SafetySpec |
Spec for safety metric.
|
com.google.cloud.aiplatform.v1beta1.SafetySpec.Builder |
Spec for safety metric.
|
com.google.cloud.aiplatform.v1beta1.SampleConfig |
Active learning data sampling config. For every active learning labeling
iteration, it will select a batch of data based on the sampling strategy.
|
com.google.cloud.aiplatform.v1beta1.SampleConfig.Builder |
Active learning data sampling config. For every active learning labeling
iteration, it will select a batch of data based on the sampling strategy.
|
com.google.cloud.aiplatform.v1beta1.SampledShapleyAttribution |
An attribution method that approximates Shapley values for features that
contribute to the label being predicted. A sampling strategy is used to
approximate the value rather than considering all subsets of features. |
com.google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.Builder |
An attribution method that approximates Shapley values for features that
contribute to the label being predicted. A sampling strategy is used to
approximate the value rather than considering all subsets of features. |
com.google.cloud.aiplatform.v1beta1.SamplingStrategy |
Sampling Strategy for logging, can be for both training and prediction
dataset.
|
com.google.cloud.aiplatform.v1beta1.SamplingStrategy.Builder |
Sampling Strategy for logging, can be for both training and prediction
dataset.
|
com.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig |
Requests are randomly selected.
|
com.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.Builder |
Requests are randomly selected.
|
com.google.cloud.aiplatform.v1beta1.SavedQuery |
A SavedQuery is a view of the dataset. It references a subset of annotations
by problem type and filters.
|
com.google.cloud.aiplatform.v1beta1.SavedQuery.Builder |
A SavedQuery is a view of the dataset. It references a subset of annotations
by problem type and filters.
|
com.google.cloud.aiplatform.v1beta1.SavedQueryName |
|
com.google.cloud.aiplatform.v1beta1.SavedQueryName.Builder |
Builder for
projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}. |
com.google.cloud.aiplatform.v1beta1.SavedQueryProto |
|
com.google.cloud.aiplatform.v1beta1.Scalar |
One point viewable on a scalar metric plot.
|
com.google.cloud.aiplatform.v1beta1.Scalar.Builder |
One point viewable on a scalar metric plot.
|
com.google.cloud.aiplatform.v1beta1.Schedule |
An instance of a Schedule periodically schedules runs to make API calls based
on user specified time specification and API request type.
|
com.google.cloud.aiplatform.v1beta1.Schedule.Builder |
An instance of a Schedule periodically schedules runs to make API calls based
on user specified time specification and API request type.
|
com.google.cloud.aiplatform.v1beta1.Schedule.RunResponse |
Status of a scheduled run.
|
com.google.cloud.aiplatform.v1beta1.Schedule.RunResponse.Builder |
Status of a scheduled run.
|
com.google.cloud.aiplatform.v1beta1.ScheduleName |
|
com.google.cloud.aiplatform.v1beta1.ScheduleName.Builder |
Builder for projects/{project}/locations/{location}/schedules/{schedule}. |
com.google.cloud.aiplatform.v1beta1.ScheduleProto |
|
com.google.cloud.aiplatform.v1beta1.ScheduleServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ScheduleServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.ScheduleServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ScheduleServiceClient.ListSchedulesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.ScheduleServiceClient.ListSchedulesPage |
|
com.google.cloud.aiplatform.v1beta1.ScheduleServiceClient.ListSchedulesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.ScheduleServiceGrpc |
A service for creating and managing Vertex AI's Schedule resources to
periodically launch shceudled runs to make API calls.
|
com.google.cloud.aiplatform.v1beta1.ScheduleServiceGrpc.ScheduleServiceImplBase |
Base class for the server implementation of the service ScheduleService.
A service for creating and managing Vertex AI's Schedule resources to |
com.google.cloud.aiplatform.v1beta1.ScheduleServiceProto |
|
com.google.cloud.aiplatform.v1beta1.ScheduleServiceSettings.Builder |
Builder for ScheduleServiceSettings. |
com.google.cloud.aiplatform.v1beta1.Scheduling |
All parameters related to queuing and scheduling of custom jobs.
|
com.google.cloud.aiplatform.v1beta1.Scheduling.Builder |
All parameters related to queuing and scheduling of custom jobs.
|
com.google.cloud.aiplatform.v1beta1.Schema |
Schema is used to define the format of input/output data. Represents a select
subset of an OpenAPI 3.0 schema
object. More fields may be |
com.google.cloud.aiplatform.v1beta1.Schema.Builder |
Schema is used to define the format of input/output data. Represents a select
subset of an OpenAPI 3.0 schema
object. More fields may be |
com.google.cloud.aiplatform.v1beta1.SearchDataItemsRequest |
Request message for
DatasetService.SearchDataItems.
|
com.google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.Builder |
Request message for
DatasetService.SearchDataItems.
|
com.google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.OrderByAnnotation |
Expression that allows ranking results based on annotation's property.
|
com.google.cloud.aiplatform.v1beta1.SearchDataItemsRequest.OrderByAnnotation.Builder |
Expression that allows ranking results based on annotation's property.
|
com.google.cloud.aiplatform.v1beta1.SearchDataItemsResponse |
Response message for
DatasetService.SearchDataItems.
|
com.google.cloud.aiplatform.v1beta1.SearchDataItemsResponse.Builder |
Response message for
DatasetService.SearchDataItems.
|
com.google.cloud.aiplatform.v1beta1.SearchEntryPoint |
Google search entry point.
|
com.google.cloud.aiplatform.v1beta1.SearchEntryPoint.Builder |
Google search entry point.
|
com.google.cloud.aiplatform.v1beta1.SearchFeaturesRequest |
Request message for
FeaturestoreService.SearchFeatures.
|
com.google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.Builder |
Request message for
FeaturestoreService.SearchFeatures.
|
com.google.cloud.aiplatform.v1beta1.SearchFeaturesResponse |
Response message for
FeaturestoreService.SearchFeatures.
|
com.google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.Builder |
Response message for
FeaturestoreService.SearchFeatures.
|
com.google.cloud.aiplatform.v1beta1.SearchMigratableResourcesRequest |
Request message for
MigrationService.SearchMigratableResources.
|
com.google.cloud.aiplatform.v1beta1.SearchMigratableResourcesRequest.Builder |
Request message for
MigrationService.SearchMigratableResources.
|
com.google.cloud.aiplatform.v1beta1.SearchMigratableResourcesResponse |
Response message for
MigrationService.SearchMigratableResources.
|
com.google.cloud.aiplatform.v1beta1.SearchMigratableResourcesResponse.Builder |
Response message for
MigrationService.SearchMigratableResources.
|
com.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest |
Request message for
JobService.SearchModelDeploymentMonitoringStatsAnomalies.
|
com.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.Builder |
Request message for
JobService.SearchModelDeploymentMonitoringStatsAnomalies.
|
com.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective |
Stats requested for specific objective.
|
com.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.Builder |
Stats requested for specific objective.
|
com.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse |
Response message for
JobService.SearchModelDeploymentMonitoringStatsAnomalies.
|
com.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.Builder |
Response message for
JobService.SearchModelDeploymentMonitoringStatsAnomalies.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsRequest |
Request message for
ModelMonitoringService.SearchModelMonitoringAlerts.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsRequest.Builder |
Request message for
ModelMonitoringService.SearchModelMonitoringAlerts.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsResponse |
Response message for
ModelMonitoringService.SearchModelMonitoringAlerts.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsResponse.Builder |
Response message for
ModelMonitoringService.SearchModelMonitoringAlerts.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter |
Filter for searching ModelMonitoringStats.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter.Builder |
Filter for searching ModelMonitoringStats.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter.TabularStatsFilter |
Tabular statistics filter.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder |
Tabular statistics filter.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsRequest |
Request message for
ModelMonitoringService.SearchModelMonitoringStats.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsRequest.Builder |
Request message for
ModelMonitoringService.SearchModelMonitoringStats.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsResponse |
Response message for
ModelMonitoringService.SearchModelMonitoringStats.
|
com.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsResponse.Builder |
Response message for
ModelMonitoringService.SearchModelMonitoringStats.
|
com.google.cloud.aiplatform.v1beta1.SearchNearestEntitiesRequest |
The request message for
FeatureOnlineStoreService.SearchNearestEntities.
|
com.google.cloud.aiplatform.v1beta1.SearchNearestEntitiesRequest.Builder |
The request message for
FeatureOnlineStoreService.SearchNearestEntities.
|
com.google.cloud.aiplatform.v1beta1.SearchNearestEntitiesResponse |
Response message for
FeatureOnlineStoreService.SearchNearestEntities
|
com.google.cloud.aiplatform.v1beta1.SearchNearestEntitiesResponse.Builder |
Response message for
FeatureOnlineStoreService.SearchNearestEntities
|
com.google.cloud.aiplatform.v1beta1.Segment |
Segment of the content.
|
com.google.cloud.aiplatform.v1beta1.Segment.Builder |
Segment of the content.
|
com.google.cloud.aiplatform.v1beta1.ServiceAccountSpec |
Configuration for the use of custom service account to run the workloads.
|
com.google.cloud.aiplatform.v1beta1.ServiceAccountSpec.Builder |
Configuration for the use of custom service account to run the workloads.
|
com.google.cloud.aiplatform.v1beta1.ServiceNetworkingProto |
|
com.google.cloud.aiplatform.v1beta1.ShieldedVmConfig |
A set of Shielded Instance options.
See Images using supported Shielded VM
features. |
com.google.cloud.aiplatform.v1beta1.ShieldedVmConfig.Builder |
A set of Shielded Instance options.
See Images using supported Shielded VM
features. |
com.google.cloud.aiplatform.v1beta1.SmoothGradConfig |
Config for SmoothGrad approximation of gradients.
When enabled, the gradients are approximated by averaging the gradients from |
com.google.cloud.aiplatform.v1beta1.SmoothGradConfig.Builder |
Config for SmoothGrad approximation of gradients.
When enabled, the gradients are approximated by averaging the gradients from |
com.google.cloud.aiplatform.v1beta1.SpecialistPool |
SpecialistPool represents customers' own workforce to work on their data
labeling jobs. It includes a group of specialist managers and workers.
Managers are responsible for managing the workers in this pool as well as |
com.google.cloud.aiplatform.v1beta1.SpecialistPool.Builder |
SpecialistPool represents customers' own workforce to work on their data
labeling jobs. It includes a group of specialist managers and workers.
Managers are responsible for managing the workers in this pool as well as |
com.google.cloud.aiplatform.v1beta1.SpecialistPoolName |
|
com.google.cloud.aiplatform.v1beta1.SpecialistPoolName.Builder |
Builder for projects/{project}/locations/{location}/specialistPools/{specialist_pool}. |
com.google.cloud.aiplatform.v1beta1.SpecialistPoolProto |
|
com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListSpecialistPoolsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListSpecialistPoolsPage |
|
com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceGrpc |
A service for creating and managing Customer SpecialistPools.
When customers start Data Labeling jobs, they can reuse/create Specialist
Pools to bring their own Specialists to label the data. |
com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceGrpc.SpecialistPoolServiceImplBase |
Base class for the server implementation of the service SpecialistPoolService.
A service for creating and managing Customer SpecialistPools. |
com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceProto |
|
com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceSettings.Builder |
Builder for SpecialistPoolServiceSettings. |
com.google.cloud.aiplatform.v1beta1.StartNotebookRuntimeOperationMetadata |
Metadata information for
NotebookService.StartNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.StartNotebookRuntimeOperationMetadata.Builder |
Metadata information for
NotebookService.StartNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.StartNotebookRuntimeRequest |
Request message for
NotebookService.StartNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.StartNotebookRuntimeRequest.Builder |
Request message for
NotebookService.StartNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.StartNotebookRuntimeResponse |
Response message for
NotebookService.StartNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.StartNotebookRuntimeResponse.Builder |
Response message for
NotebookService.StartNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.StopTrialRequest |
Request message for
VizierService.StopTrial.
|
com.google.cloud.aiplatform.v1beta1.StopTrialRequest.Builder |
Request message for
VizierService.StopTrial.
|
com.google.cloud.aiplatform.v1beta1.StratifiedSplit |
Assigns input data to the training, validation, and test sets so that the
distribution of values found in the categorical column (as specified by the
key field) is mirrored within each split. The fraction values determine |
com.google.cloud.aiplatform.v1beta1.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. The fraction values determine |
com.google.cloud.aiplatform.v1beta1.StreamDirectPredictRequest |
Request message for
PredictionService.StreamDirectPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamDirectPredictRequest.Builder |
Request message for
PredictionService.StreamDirectPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamDirectPredictResponse |
Response message for
PredictionService.StreamDirectPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamDirectPredictResponse.Builder |
Response message for
PredictionService.StreamDirectPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamDirectRawPredictRequest |
Request message for
PredictionService.StreamDirectRawPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamDirectRawPredictRequest.Builder |
Request message for
PredictionService.StreamDirectRawPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamDirectRawPredictResponse |
Response message for
PredictionService.StreamDirectRawPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamDirectRawPredictResponse.Builder |
Response message for
PredictionService.StreamDirectRawPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamingFetchFeatureValuesRequest |
Request message for
FeatureOnlineStoreService.StreamingFetchFeatureValues.
For the entities requested, all features under the requested feature view |
com.google.cloud.aiplatform.v1beta1.StreamingFetchFeatureValuesRequest.Builder |
Request message for
FeatureOnlineStoreService.StreamingFetchFeatureValues.
For the entities requested, all features under the requested feature view |
com.google.cloud.aiplatform.v1beta1.StreamingFetchFeatureValuesResponse |
Response message for
FeatureOnlineStoreService.StreamingFetchFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.StreamingFetchFeatureValuesResponse.Builder |
Response message for
FeatureOnlineStoreService.StreamingFetchFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.StreamingPredictRequest |
Request message for
PredictionService.StreamingPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamingPredictRequest.Builder |
Request message for
PredictionService.StreamingPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamingPredictResponse |
Response message for
PredictionService.StreamingPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamingPredictResponse.Builder |
Response message for
PredictionService.StreamingPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamingRawPredictRequest |
Request message for
PredictionService.StreamingRawPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamingRawPredictRequest.Builder |
Request message for
PredictionService.StreamingRawPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamingRawPredictResponse |
Response message for
PredictionService.StreamingRawPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamingRawPredictResponse.Builder |
Response message for
PredictionService.StreamingRawPredict.
|
com.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest |
Request message for
[FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].
|
com.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.Builder |
Request message for
[FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].
|
com.google.cloud.aiplatform.v1beta1.StringArray |
A list of string values.
|
com.google.cloud.aiplatform.v1beta1.StringArray.Builder |
A list of string values.
|
com.google.cloud.aiplatform.v1beta1.StructFieldValue |
One field of a Struct (or object) type feature value.
|
com.google.cloud.aiplatform.v1beta1.StructFieldValue.Builder |
One field of a Struct (or object) type feature value.
|
com.google.cloud.aiplatform.v1beta1.StructValue |
Struct (or object) type feature value.
|
com.google.cloud.aiplatform.v1beta1.StructValue.Builder |
Struct (or object) type feature value.
|
com.google.cloud.aiplatform.v1beta1.Study |
A message representing a Study.
|
com.google.cloud.aiplatform.v1beta1.Study.Builder |
A message representing a Study.
|
com.google.cloud.aiplatform.v1beta1.StudyName |
|
com.google.cloud.aiplatform.v1beta1.StudyName.Builder |
Builder for projects/{project}/locations/{location}/studies/{study}. |
com.google.cloud.aiplatform.v1beta1.StudyProto |
|
com.google.cloud.aiplatform.v1beta1.StudySpec |
Represents specification of a Study.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.Builder |
Represents specification of a Study.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec |
Configuration for ConvexAutomatedStoppingSpec.
When there are enough completed trials (configured by
min_measurement_count), for pending trials with enough measurements and |
com.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.Builder |
Configuration for ConvexAutomatedStoppingSpec.
When there are enough completed trials (configured by
min_measurement_count), for pending trials with enough measurements and |
com.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig |
Configuration for ConvexStopPolicy.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.Builder |
Configuration for ConvexStopPolicy.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec |
The decay curve automated stopping rule builds a Gaussian Process
Regressor to predict the final objective value of a Trial based on the
already completed Trials and the intermediate measurements of the current |
com.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.Builder |
The decay curve automated stopping rule builds a Gaussian Process
Regressor to predict the final objective value of a Trial based on the
already completed Trials and the intermediate measurements of the current |
com.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec |
The median automated stopping rule stops a pending Trial if the Trial's
best objective_value is strictly below the median 'performance' of all
completed Trials reported up to the Trial's last measurement. |
com.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.Builder |
The median automated stopping rule stops a pending Trial if the Trial's
best objective_value is strictly below the median 'performance' of all
completed Trials reported up to the Trial's last measurement. |
com.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec |
Represents a metric to optimize.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.Builder |
Represents a metric to optimize.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.SafetyMetricConfig |
Used in safe optimization to specify threshold levels and risk tolerance.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.SafetyMetricConfig.Builder |
Used in safe optimization to specify threshold levels and risk tolerance.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec |
Represents a single parameter to optimize.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.Builder |
Represents a single parameter to optimize.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec |
Value specification for a parameter in CATEGORICAL type.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.Builder |
Value specification for a parameter in CATEGORICAL type.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec |
Represents a parameter spec with condition from its parent parameter.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.Builder |
Represents a parameter spec with condition from its parent parameter.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition |
Represents the spec to match categorical values from parent parameter.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.Builder |
Represents the spec to match categorical values from parent parameter.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition |
Represents the spec to match discrete values from parent parameter.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.Builder |
Represents the spec to match discrete values from parent parameter.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition |
Represents the spec to match integer values from parent parameter.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.Builder |
Represents the spec to match integer values from parent parameter.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec |
Value specification for a parameter in DISCRETE type.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
Value specification for a parameter in DISCRETE type.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec |
Value specification for a parameter in DOUBLE type.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.Builder |
Value specification for a parameter in DOUBLE type.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec |
Value specification for a parameter in INTEGER type.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.Builder |
Value specification for a parameter in INTEGER type.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.StudyStoppingConfig |
The configuration (stopping conditions) for automated stopping of a Study.
Conditions include trial budgets, time budgets, and convergence detection.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.StudyStoppingConfig.Builder |
The configuration (stopping conditions) for automated stopping of a Study.
Conditions include trial budgets, time budgets, and convergence detection.
|
com.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig |
This contains flag for manually disabling transfer learning for a study.
The names of prior studies being used for transfer learning (if any)
are also listed here. |
com.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig.Builder |
This contains flag for manually disabling transfer learning for a study.
The names of prior studies being used for transfer learning (if any)
are also listed here. |
com.google.cloud.aiplatform.v1beta1.StudyTimeConstraint |
Time-based Constraint for Study
|
com.google.cloud.aiplatform.v1beta1.StudyTimeConstraint.Builder |
Time-based Constraint for Study
|
com.google.cloud.aiplatform.v1beta1.SuggestTrialsMetadata |
Details of operations that perform Trials suggestion.
|
com.google.cloud.aiplatform.v1beta1.SuggestTrialsMetadata.Builder |
Details of operations that perform Trials suggestion.
|
com.google.cloud.aiplatform.v1beta1.SuggestTrialsRequest |
Request message for
VizierService.SuggestTrials.
|
com.google.cloud.aiplatform.v1beta1.SuggestTrialsRequest.Builder |
Request message for
VizierService.SuggestTrials.
|
com.google.cloud.aiplatform.v1beta1.SuggestTrialsResponse |
Response message for
VizierService.SuggestTrials.
|
com.google.cloud.aiplatform.v1beta1.SuggestTrialsResponse.Builder |
Response message for
VizierService.SuggestTrials.
|
com.google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInput |
Input for summarization helpfulness metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInput.Builder |
Input for summarization helpfulness metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInstance |
Spec for summarization helpfulness instance.
|
com.google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInstance.Builder |
Spec for summarization helpfulness instance.
|
com.google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessResult |
Spec for summarization helpfulness result.
|
com.google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessResult.Builder |
Spec for summarization helpfulness result.
|
com.google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessSpec |
Spec for summarization helpfulness score metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessSpec.Builder |
Spec for summarization helpfulness score metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationQualityInput |
Input for summarization quality metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationQualityInput.Builder |
Input for summarization quality metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationQualityInstance |
Spec for summarization quality instance.
|
com.google.cloud.aiplatform.v1beta1.SummarizationQualityInstance.Builder |
Spec for summarization quality instance.
|
com.google.cloud.aiplatform.v1beta1.SummarizationQualityResult |
Spec for summarization quality result.
|
com.google.cloud.aiplatform.v1beta1.SummarizationQualityResult.Builder |
Spec for summarization quality result.
|
com.google.cloud.aiplatform.v1beta1.SummarizationQualitySpec |
Spec for summarization quality score metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationQualitySpec.Builder |
Spec for summarization quality score metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationVerbosityInput |
Input for summarization verbosity metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationVerbosityInput.Builder |
Input for summarization verbosity metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationVerbosityInstance |
Spec for summarization verbosity instance.
|
com.google.cloud.aiplatform.v1beta1.SummarizationVerbosityInstance.Builder |
Spec for summarization verbosity instance.
|
com.google.cloud.aiplatform.v1beta1.SummarizationVerbosityResult |
Spec for summarization verbosity result.
|
com.google.cloud.aiplatform.v1beta1.SummarizationVerbosityResult.Builder |
Spec for summarization verbosity result.
|
com.google.cloud.aiplatform.v1beta1.SummarizationVerbositySpec |
Spec for summarization verbosity score metric.
|
com.google.cloud.aiplatform.v1beta1.SummarizationVerbositySpec.Builder |
Spec for summarization verbosity score metric.
|
com.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters |
Hyperparameters for SFT.
|
com.google.cloud.aiplatform.v1beta1.SupervisedHyperParameters.Builder |
Hyperparameters for SFT.
|
com.google.cloud.aiplatform.v1beta1.SupervisedTuningDataStats |
Tuning data statistics for Supervised Tuning.
|
com.google.cloud.aiplatform.v1beta1.SupervisedTuningDataStats.Builder |
Tuning data statistics for Supervised Tuning.
|
com.google.cloud.aiplatform.v1beta1.SupervisedTuningDatasetDistribution |
Dataset distribution for Supervised Tuning.
|
com.google.cloud.aiplatform.v1beta1.SupervisedTuningDatasetDistribution.Builder |
Dataset distribution for Supervised Tuning.
|
com.google.cloud.aiplatform.v1beta1.SupervisedTuningDatasetDistribution.DatasetBucket |
Dataset bucket used to create a histogram for the distribution given a
population of values.
|
com.google.cloud.aiplatform.v1beta1.SupervisedTuningDatasetDistribution.DatasetBucket.Builder |
Dataset bucket used to create a histogram for the distribution given a
population of values.
|
com.google.cloud.aiplatform.v1beta1.SupervisedTuningSpec |
Tuning Spec for Supervised Tuning.
|
com.google.cloud.aiplatform.v1beta1.SupervisedTuningSpec.Builder |
Tuning Spec for Supervised Tuning.
|
com.google.cloud.aiplatform.v1beta1.SyncFeatureViewRequest |
Request message for
FeatureOnlineStoreAdminService.SyncFeatureView.
|
com.google.cloud.aiplatform.v1beta1.SyncFeatureViewRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.SyncFeatureView.
|
com.google.cloud.aiplatform.v1beta1.SyncFeatureViewResponse |
Respose message for
FeatureOnlineStoreAdminService.SyncFeatureView.
|
com.google.cloud.aiplatform.v1beta1.SyncFeatureViewResponse.Builder |
Respose message for
FeatureOnlineStoreAdminService.SyncFeatureView.
|
com.google.cloud.aiplatform.v1beta1.TFRecordDestination |
The storage details for TFRecord output content.
|
com.google.cloud.aiplatform.v1beta1.TFRecordDestination.Builder |
The storage details for TFRecord output content.
|
com.google.cloud.aiplatform.v1beta1.Tensor |
A tensor value type.
|
com.google.cloud.aiplatform.v1beta1.Tensor.Builder |
A tensor value type.
|
com.google.cloud.aiplatform.v1beta1.Tensorboard |
Tensorboard is a physical database that stores users' training metrics.
A default Tensorboard is provided in each region of a Google Cloud project.
If needed users can also create extra Tensorboards in their projects. |
com.google.cloud.aiplatform.v1beta1.Tensorboard.Builder |
Tensorboard is a physical database that stores users' training metrics.
A default Tensorboard is provided in each region of a Google Cloud project.
If needed users can also create extra Tensorboards in their projects. |
com.google.cloud.aiplatform.v1beta1.TensorboardBlob |
One blob (e.g, image, graph) viewable on a blob metric plot.
|
com.google.cloud.aiplatform.v1beta1.TensorboardBlob.Builder |
One blob (e.g, image, graph) viewable on a blob metric plot.
|
com.google.cloud.aiplatform.v1beta1.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.
|
com.google.cloud.aiplatform.v1beta1.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.
|
com.google.cloud.aiplatform.v1beta1.TensorboardDataProto |
|
com.google.cloud.aiplatform.v1beta1.TensorboardExperiment |
A TensorboardExperiment is a group of TensorboardRuns, that are typically the
results of a training job run, in a Tensorboard.
|
com.google.cloud.aiplatform.v1beta1.TensorboardExperiment.Builder |
A TensorboardExperiment is a group of TensorboardRuns, that are typically the
results of a training job run, in a Tensorboard.
|
com.google.cloud.aiplatform.v1beta1.TensorboardExperimentName |
|
com.google.cloud.aiplatform.v1beta1.TensorboardExperimentName.Builder |
Builder for
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}. |
com.google.cloud.aiplatform.v1beta1.TensorboardExperimentProto |
|
com.google.cloud.aiplatform.v1beta1.TensorboardName |
|
com.google.cloud.aiplatform.v1beta1.TensorboardName.Builder |
Builder for projects/{project}/locations/{location}/tensorboards/{tensorboard}. |
com.google.cloud.aiplatform.v1beta1.TensorboardProto |
|
com.google.cloud.aiplatform.v1beta1.TensorboardRun |
TensorboardRun maps to a specific execution of a training job with a given
set of hyperparameter values, model definition, dataset, etc
|
com.google.cloud.aiplatform.v1beta1.TensorboardRun.Builder |
TensorboardRun maps to a specific execution of a training job with a given
set of hyperparameter values, model definition, dataset, etc
|
com.google.cloud.aiplatform.v1beta1.TensorboardRunName |
|
com.google.cloud.aiplatform.v1beta1.TensorboardRunName.Builder |
Builder for
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}. |
com.google.cloud.aiplatform.v1beta1.TensorboardRunProto |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ExportTensorboardTimeSeriesDataFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ExportTensorboardTimeSeriesDataPage |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ExportTensorboardTimeSeriesDataPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardExperimentsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardExperimentsPage |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardExperimentsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardRunsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardRunsPage |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardRunsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardTimeSeriesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardTimeSeriesPage |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardTimeSeriesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardsPage |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceClient.ListTensorboardsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceGrpc |
TensorboardService
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceGrpc.TensorboardServiceImplBase |
Base class for the server implementation of the service TensorboardService.
TensorboardService |
com.google.cloud.aiplatform.v1beta1.TensorboardServiceProto |
|
com.google.cloud.aiplatform.v1beta1.TensorboardServiceSettings.Builder |
Builder for TensorboardServiceSettings. |
com.google.cloud.aiplatform.v1beta1.TensorboardTensor |
One point viewable on a tensor metric plot.
|
com.google.cloud.aiplatform.v1beta1.TensorboardTensor.Builder |
One point viewable on a tensor metric plot.
|
com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries |
TensorboardTimeSeries maps to times series produced in training runs
|
com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.Builder |
TensorboardTimeSeries maps to times series produced in training runs
|
com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.Metadata |
Describes metadata for a TensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries.Metadata.Builder |
Describes metadata for a TensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeriesName |
|
com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeriesName.Builder |
Builder for
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}. |
com.google.cloud.aiplatform.v1beta1.TensorboardTimeSeriesProto |
|
com.google.cloud.aiplatform.v1beta1.ThresholdConfig |
The config for feature monitoring threshold.
|
com.google.cloud.aiplatform.v1beta1.ThresholdConfig.Builder |
The config for feature monitoring threshold.
|
com.google.cloud.aiplatform.v1beta1.TimeSeriesData |
All the data stored in a TensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.TimeSeriesData.Builder |
All the data stored in a TensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.TimeSeriesDataPoint |
A TensorboardTimeSeries data point.
|
com.google.cloud.aiplatform.v1beta1.TimeSeriesDataPoint.Builder |
A TensorboardTimeSeries data point.
|
com.google.cloud.aiplatform.v1beta1.TimestampSplit |
Assigns input data to training, validation, and test sets based on a
provided timestamps. The youngest data pieces are assigned to training set,
next to validation set, and the oldest to the test set. |
com.google.cloud.aiplatform.v1beta1.TimestampSplit.Builder |
Assigns input data to training, validation, and test sets based on a
provided timestamps. The youngest data pieces are assigned to training set,
next to validation set, and the oldest to the test set. |
com.google.cloud.aiplatform.v1beta1.TokensInfo |
Tokens info with a list of tokens and the corresponding list of token ids.
|
com.google.cloud.aiplatform.v1beta1.TokensInfo.Builder |
Tokens info with a list of tokens and the corresponding list of token ids.
|
com.google.cloud.aiplatform.v1beta1.Tool |
Tool details that the model may use to generate response.
A Tool is a piece of code that enables the system to interact with |
com.google.cloud.aiplatform.v1beta1.Tool.Builder |
Tool details that the model may use to generate response.
A Tool is a piece of code that enables the system to interact with |
com.google.cloud.aiplatform.v1beta1.ToolCallValidInput |
Input for tool call valid metric.
|
com.google.cloud.aiplatform.v1beta1.ToolCallValidInput.Builder |
Input for tool call valid metric.
|
com.google.cloud.aiplatform.v1beta1.ToolCallValidInstance |
Spec for tool call valid instance.
|
com.google.cloud.aiplatform.v1beta1.ToolCallValidInstance.Builder |
Spec for tool call valid instance.
|
com.google.cloud.aiplatform.v1beta1.ToolCallValidMetricValue |
Tool call valid metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.ToolCallValidMetricValue.Builder |
Tool call valid metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.ToolCallValidResults |
Results for tool call valid metric.
|
com.google.cloud.aiplatform.v1beta1.ToolCallValidResults.Builder |
Results for tool call valid metric.
|
com.google.cloud.aiplatform.v1beta1.ToolCallValidSpec |
Spec for tool call valid metric.
|
com.google.cloud.aiplatform.v1beta1.ToolCallValidSpec.Builder |
Spec for tool call valid metric.
|
com.google.cloud.aiplatform.v1beta1.ToolConfig |
Tool config. This config is shared for all tools provided in the request.
|
com.google.cloud.aiplatform.v1beta1.ToolConfig.Builder |
Tool config. This config is shared for all tools provided in the request.
|
com.google.cloud.aiplatform.v1beta1.ToolNameMatchInput |
Input for tool name match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolNameMatchInput.Builder |
Input for tool name match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolNameMatchInstance |
Spec for tool name match instance.
|
com.google.cloud.aiplatform.v1beta1.ToolNameMatchInstance.Builder |
Spec for tool name match instance.
|
com.google.cloud.aiplatform.v1beta1.ToolNameMatchMetricValue |
Tool name match metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.ToolNameMatchMetricValue.Builder |
Tool name match metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.ToolNameMatchResults |
Results for tool name match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolNameMatchResults.Builder |
Results for tool name match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolNameMatchSpec |
Spec for tool name match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolNameMatchSpec.Builder |
Spec for tool name match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInput |
Input for tool parameter key value match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInput.Builder |
Input for tool parameter key value match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInstance |
Spec for tool parameter key value match instance.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInstance.Builder |
Spec for tool parameter key value match instance.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKVMatchMetricValue |
Tool parameter key value match metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKVMatchMetricValue.Builder |
Tool parameter key value match metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKVMatchResults |
Results for tool parameter key value match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKVMatchResults.Builder |
Results for tool parameter key value match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKVMatchSpec |
Spec for tool parameter key value match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKVMatchSpec.Builder |
Spec for tool parameter key value match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInput |
Input for tool parameter key match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInput.Builder |
Input for tool parameter key match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInstance |
Spec for tool parameter key match instance.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInstance.Builder |
Spec for tool parameter key match instance.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchMetricValue |
Tool parameter key match metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchMetricValue.Builder |
Tool parameter key match metric value for an instance.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchResults |
Results for tool parameter key match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchResults.Builder |
Results for tool parameter key match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchSpec |
Spec for tool parameter key match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchSpec.Builder |
Spec for tool parameter key match metric.
|
com.google.cloud.aiplatform.v1beta1.ToolProto |
|
com.google.cloud.aiplatform.v1beta1.ToolUseExample |
A single example of the tool usage.
|
com.google.cloud.aiplatform.v1beta1.ToolUseExample.Builder |
A single example of the tool usage.
|
com.google.cloud.aiplatform.v1beta1.ToolUseExample.ExtensionOperation |
Identifies one operation of the extension.
|
com.google.cloud.aiplatform.v1beta1.ToolUseExample.ExtensionOperation.Builder |
Identifies one operation of the extension.
|
com.google.cloud.aiplatform.v1beta1.TrainingConfig |
CMLE training config. For every active learning labeling iteration, system
will train a machine learning model on CMLE. The trained model will be used
by data sampling algorithm to select DataItems. |
com.google.cloud.aiplatform.v1beta1.TrainingConfig.Builder |
CMLE training config. For every active learning labeling iteration, system
will train a machine learning model on CMLE. The trained model will be used
by data sampling algorithm to select DataItems. |
com.google.cloud.aiplatform.v1beta1.TrainingPipeline |
The TrainingPipeline orchestrates tasks associated with training a Model. It
always executes the training task, and optionally may also
export data from Vertex AI's Dataset which becomes the training input, |
com.google.cloud.aiplatform.v1beta1.TrainingPipeline.Builder |
The TrainingPipeline orchestrates tasks associated with training a Model. It
always executes the training task, and optionally may also
export data from Vertex AI's Dataset which becomes the training input, |
com.google.cloud.aiplatform.v1beta1.TrainingPipelineName |
|
com.google.cloud.aiplatform.v1beta1.TrainingPipelineName.Builder |
Builder for projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}. |
com.google.cloud.aiplatform.v1beta1.TrainingPipelineProto |
|
com.google.cloud.aiplatform.v1beta1.Trial |
A message representing a Trial. A Trial contains a unique set of Parameters
that has been or will be evaluated, along with the objective metrics got by
running the Trial. |
com.google.cloud.aiplatform.v1beta1.Trial.Builder |
A message representing a Trial. A Trial contains a unique set of Parameters
that has been or will be evaluated, along with the objective metrics got by
running the Trial. |
com.google.cloud.aiplatform.v1beta1.Trial.Parameter |
A message representing a parameter to be tuned.
|
com.google.cloud.aiplatform.v1beta1.Trial.Parameter.Builder |
A message representing a parameter to be tuned.
|
com.google.cloud.aiplatform.v1beta1.TrialContext |
Next ID: 3
|
com.google.cloud.aiplatform.v1beta1.TrialContext.Builder |
Next ID: 3
|
com.google.cloud.aiplatform.v1beta1.TrialName |
|
com.google.cloud.aiplatform.v1beta1.TrialName.Builder |
Builder for projects/{project}/locations/{location}/studies/{study}/trials/{trial}. |
com.google.cloud.aiplatform.v1beta1.TunedModel |
The Model Registry Model and Online Prediction Endpoint assiociated with
this TuningJob.
|
com.google.cloud.aiplatform.v1beta1.TunedModel.Builder |
The Model Registry Model and Online Prediction Endpoint assiociated with
this TuningJob.
|
com.google.cloud.aiplatform.v1beta1.TuningDataStats |
The tuning data statistic values for
TuningJob.
|
com.google.cloud.aiplatform.v1beta1.TuningDataStats.Builder |
The tuning data statistic values for
TuningJob.
|
com.google.cloud.aiplatform.v1beta1.TuningJob |
Represents a TuningJob that runs with Google owned models.
|
com.google.cloud.aiplatform.v1beta1.TuningJob.Builder |
Represents a TuningJob that runs with Google owned models.
|
com.google.cloud.aiplatform.v1beta1.TuningJobName |
|
com.google.cloud.aiplatform.v1beta1.TuningJobName.Builder |
Builder for projects/{project}/locations/{location}/tuningJobs/{tuning_job}. |
com.google.cloud.aiplatform.v1beta1.TuningJobProto |
|
com.google.cloud.aiplatform.v1beta1.TypesProto |
|
com.google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata |
Runtime operation information for
IndexEndpointService.UndeployIndex.
|
com.google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.Builder |
Runtime operation information for
IndexEndpointService.UndeployIndex.
|
com.google.cloud.aiplatform.v1beta1.UndeployIndexRequest |
Request message for
IndexEndpointService.UndeployIndex.
|
com.google.cloud.aiplatform.v1beta1.UndeployIndexRequest.Builder |
Request message for
IndexEndpointService.UndeployIndex.
|
com.google.cloud.aiplatform.v1beta1.UndeployIndexResponse |
Response message for
IndexEndpointService.UndeployIndex.
|
com.google.cloud.aiplatform.v1beta1.UndeployIndexResponse.Builder |
Response message for
IndexEndpointService.UndeployIndex.
|
com.google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata |
Runtime operation information for
EndpointService.UndeployModel.
|
com.google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.Builder |
Runtime operation information for
EndpointService.UndeployModel.
|
com.google.cloud.aiplatform.v1beta1.UndeployModelRequest |
Request message for
EndpointService.UndeployModel.
|
com.google.cloud.aiplatform.v1beta1.UndeployModelRequest.Builder |
Request message for
EndpointService.UndeployModel.
|
com.google.cloud.aiplatform.v1beta1.UndeployModelResponse |
Response message for
EndpointService.UndeployModel.
|
com.google.cloud.aiplatform.v1beta1.UndeployModelResponse.Builder |
Response message for
EndpointService.UndeployModel.
|
com.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel |
Contains model information necessary to perform batch prediction without
requiring a full model import.
|
com.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.Builder |
Contains model information necessary to perform batch prediction without
requiring a full model import.
|
com.google.cloud.aiplatform.v1beta1.UnmanagedContainerModelProto |
|
com.google.cloud.aiplatform.v1beta1.UpdateArtifactRequest |
Request message for
MetadataService.UpdateArtifact.
|
com.google.cloud.aiplatform.v1beta1.UpdateArtifactRequest.Builder |
Request message for
MetadataService.UpdateArtifact.
|
com.google.cloud.aiplatform.v1beta1.UpdateCachedContentRequest |
Request message for
GenAiCacheService.UpdateCachedContent.
Only expire_time or ttl can be updated. |
com.google.cloud.aiplatform.v1beta1.UpdateCachedContentRequest.Builder |
Request message for
GenAiCacheService.UpdateCachedContent.
Only expire_time or ttl can be updated. |
com.google.cloud.aiplatform.v1beta1.UpdateContextRequest |
Request message for
MetadataService.UpdateContext.
|
com.google.cloud.aiplatform.v1beta1.UpdateContextRequest.Builder |
Request message for
MetadataService.UpdateContext.
|
com.google.cloud.aiplatform.v1beta1.UpdateDatasetRequest |
Request message for
DatasetService.UpdateDataset.
|
com.google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.Builder |
Request message for
DatasetService.UpdateDataset.
|
com.google.cloud.aiplatform.v1beta1.UpdateDatasetVersionRequest |
Request message for
DatasetService.UpdateDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.UpdateDatasetVersionRequest.Builder |
Request message for
DatasetService.UpdateDatasetVersion.
|
com.google.cloud.aiplatform.v1beta1.UpdateDeploymentResourcePoolOperationMetadata |
Runtime operation information for UpdateDeploymentResourcePool method.
|
com.google.cloud.aiplatform.v1beta1.UpdateDeploymentResourcePoolOperationMetadata.Builder |
Runtime operation information for UpdateDeploymentResourcePool method.
|
com.google.cloud.aiplatform.v1beta1.UpdateEndpointRequest |
Request message for
EndpointService.UpdateEndpoint.
|
com.google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.Builder |
Request message for
EndpointService.UpdateEndpoint.
|
com.google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest |
Request message for
FeaturestoreService.UpdateEntityType.
|
com.google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.Builder |
Request message for
FeaturestoreService.UpdateEntityType.
|
com.google.cloud.aiplatform.v1beta1.UpdateExecutionRequest |
Request message for
MetadataService.UpdateExecution.
|
com.google.cloud.aiplatform.v1beta1.UpdateExecutionRequest.Builder |
Request message for
MetadataService.UpdateExecution.
|
com.google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetOperationMetadata |
Runtime operation information for
ModelService.UpdateExplanationDataset.
|
com.google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetOperationMetadata.Builder |
Runtime operation information for
ModelService.UpdateExplanationDataset.
|
com.google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetRequest |
Request message for
ModelService.UpdateExplanationDataset.
|
com.google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetRequest.Builder |
Request message for
ModelService.UpdateExplanationDataset.
|
com.google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetResponse |
Response message of
ModelService.UpdateExplanationDataset
operation. |
com.google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetResponse.Builder |
Response message of
ModelService.UpdateExplanationDataset
operation. |
com.google.cloud.aiplatform.v1beta1.UpdateExtensionRequest |
Request message for
ExtensionRegistryService.UpdateExtension.
|
com.google.cloud.aiplatform.v1beta1.UpdateExtensionRequest.Builder |
Request message for
ExtensionRegistryService.UpdateExtension.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureGroupOperationMetadata |
Details of operations that perform update FeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureGroupOperationMetadata.Builder |
Details of operations that perform update FeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureGroupRequest |
Request message for
FeatureRegistryService.UpdateFeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureGroupRequest.Builder |
Request message for
FeatureRegistryService.UpdateFeatureGroup.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureOnlineStoreOperationMetadata |
Details of operations that perform update FeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureOnlineStoreOperationMetadata.Builder |
Details of operations that perform update FeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureOnlineStoreRequest |
Request message for
FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureOnlineStoreRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureOperationMetadata |
Details of operations that perform update Feature.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureOperationMetadata.Builder |
Details of operations that perform update Feature.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureRequest |
Request message for
FeaturestoreService.UpdateFeature.
Request message for |
com.google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.Builder |
Request message for
FeaturestoreService.UpdateFeature.
Request message for |
com.google.cloud.aiplatform.v1beta1.UpdateFeatureViewOperationMetadata |
Details of operations that perform update FeatureView.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureViewOperationMetadata.Builder |
Details of operations that perform update FeatureView.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureViewRequest |
Request message for
FeatureOnlineStoreAdminService.UpdateFeatureView.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeatureViewRequest.Builder |
Request message for
FeatureOnlineStoreAdminService.UpdateFeatureView.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata |
Details of operations that perform update Featurestore.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.Builder |
Details of operations that perform update Featurestore.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest |
Request message for
FeaturestoreService.UpdateFeaturestore.
|
com.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.Builder |
Request message for
FeaturestoreService.UpdateFeaturestore.
|
com.google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest |
Request message for
IndexEndpointService.UpdateIndexEndpoint.
|
com.google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.Builder |
Request message for
IndexEndpointService.UpdateIndexEndpoint.
|
com.google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata |
Runtime operation information for
IndexService.UpdateIndex.
|
com.google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.Builder |
Runtime operation information for
IndexService.UpdateIndex.
|
com.google.cloud.aiplatform.v1beta1.UpdateIndexRequest |
Request message for
IndexService.UpdateIndex.
|
com.google.cloud.aiplatform.v1beta1.UpdateIndexRequest.Builder |
Request message for
IndexService.UpdateIndex.
|
com.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata |
Runtime operation information for
JobService.UpdateModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.Builder |
Runtime operation information for
JobService.UpdateModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest |
Request message for
JobService.UpdateModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.Builder |
Request message for
JobService.UpdateModelDeploymentMonitoringJob.
|
com.google.cloud.aiplatform.v1beta1.UpdateModelMonitorOperationMetadata |
Runtime operation information for
ModelMonitoringService.UpdateModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.UpdateModelMonitorOperationMetadata.Builder |
Runtime operation information for
ModelMonitoringService.UpdateModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.UpdateModelMonitorRequest |
Request message for
ModelMonitoringService.UpdateModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.UpdateModelMonitorRequest.Builder |
Request message for
ModelMonitoringService.UpdateModelMonitor.
|
com.google.cloud.aiplatform.v1beta1.UpdateModelRequest |
Request message for
ModelService.UpdateModel.
|
com.google.cloud.aiplatform.v1beta1.UpdateModelRequest.Builder |
Request message for
ModelService.UpdateModel.
|
com.google.cloud.aiplatform.v1beta1.UpdateNotebookRuntimeTemplateRequest |
Request message for
NotebookService.UpdateNotebookRuntimeTemplate.
|
com.google.cloud.aiplatform.v1beta1.UpdateNotebookRuntimeTemplateRequest.Builder |
Request message for
NotebookService.UpdateNotebookRuntimeTemplate.
|
com.google.cloud.aiplatform.v1beta1.UpdatePersistentResourceOperationMetadata |
Details of operations that perform update PersistentResource.
|
com.google.cloud.aiplatform.v1beta1.UpdatePersistentResourceOperationMetadata.Builder |
Details of operations that perform update PersistentResource.
|
com.google.cloud.aiplatform.v1beta1.UpdatePersistentResourceRequest |
Request message for UpdatePersistentResource method.
|
com.google.cloud.aiplatform.v1beta1.UpdatePersistentResourceRequest.Builder |
Request message for UpdatePersistentResource method.
|
com.google.cloud.aiplatform.v1beta1.UpdateReasoningEngineOperationMetadata |
Details of
ReasoningEngineService.UpdateReasoningEngine
operation. |
com.google.cloud.aiplatform.v1beta1.UpdateReasoningEngineOperationMetadata.Builder |
Details of
ReasoningEngineService.UpdateReasoningEngine
operation. |
com.google.cloud.aiplatform.v1beta1.UpdateReasoningEngineRequest |
Request message for
ReasoningEngineService.UpdateReasoningEngine.
|
com.google.cloud.aiplatform.v1beta1.UpdateReasoningEngineRequest.Builder |
Request message for
ReasoningEngineService.UpdateReasoningEngine.
|
com.google.cloud.aiplatform.v1beta1.UpdateScheduleRequest |
Request message for
ScheduleService.UpdateSchedule.
|
com.google.cloud.aiplatform.v1beta1.UpdateScheduleRequest.Builder |
Request message for
ScheduleService.UpdateSchedule.
|
com.google.cloud.aiplatform.v1beta1.UpdateSpecialistPoolOperationMetadata |
Runtime operation metadata for
SpecialistPoolService.UpdateSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.UpdateSpecialistPoolOperationMetadata.Builder |
Runtime operation metadata for
SpecialistPoolService.UpdateSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.UpdateSpecialistPoolRequest |
Request message for
SpecialistPoolService.UpdateSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.UpdateSpecialistPoolRequest.Builder |
Request message for
SpecialistPoolService.UpdateSpecialistPool.
|
com.google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest |
Request message for
TensorboardService.UpdateTensorboardExperiment.
|
com.google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest.Builder |
Request message for
TensorboardService.UpdateTensorboardExperiment.
|
com.google.cloud.aiplatform.v1beta1.UpdateTensorboardOperationMetadata |
Details of operations that perform update Tensorboard.
|
com.google.cloud.aiplatform.v1beta1.UpdateTensorboardOperationMetadata.Builder |
Details of operations that perform update Tensorboard.
|
com.google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest |
Request message for
TensorboardService.UpdateTensorboard.
|
com.google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest.Builder |
Request message for
TensorboardService.UpdateTensorboard.
|
com.google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest |
Request message for
TensorboardService.UpdateTensorboardRun.
|
com.google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest.Builder |
Request message for
TensorboardService.UpdateTensorboardRun.
|
com.google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest |
Request message for
TensorboardService.UpdateTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest.Builder |
Request message for
TensorboardService.UpdateTensorboardTimeSeries.
|
com.google.cloud.aiplatform.v1beta1.UpgradeNotebookRuntimeOperationMetadata |
Metadata information for
NotebookService.UpgradeNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.UpgradeNotebookRuntimeOperationMetadata.Builder |
Metadata information for
NotebookService.UpgradeNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.UpgradeNotebookRuntimeRequest |
Request message for
NotebookService.UpgradeNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.UpgradeNotebookRuntimeRequest.Builder |
Request message for
NotebookService.UpgradeNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.UpgradeNotebookRuntimeResponse |
Response message for
NotebookService.UpgradeNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.UpgradeNotebookRuntimeResponse.Builder |
Response message for
NotebookService.UpgradeNotebookRuntime.
|
com.google.cloud.aiplatform.v1beta1.UploadModelOperationMetadata |
Details of
ModelService.UploadModel
operation. |
com.google.cloud.aiplatform.v1beta1.UploadModelOperationMetadata.Builder |
Details of
ModelService.UploadModel
operation. |
com.google.cloud.aiplatform.v1beta1.UploadModelRequest |
Request message for
ModelService.UploadModel.
|
com.google.cloud.aiplatform.v1beta1.UploadModelRequest.Builder |
Request message for
ModelService.UploadModel.
|
com.google.cloud.aiplatform.v1beta1.UploadModelResponse |
Response message of
ModelService.UploadModel
operation. |
com.google.cloud.aiplatform.v1beta1.UploadModelResponse.Builder |
Response message of
ModelService.UploadModel
operation. |
com.google.cloud.aiplatform.v1beta1.UploadRagFileConfig |
Config for uploading RagFile.
|
com.google.cloud.aiplatform.v1beta1.UploadRagFileConfig.Builder |
Config for uploading RagFile.
|
com.google.cloud.aiplatform.v1beta1.UploadRagFileRequest |
Request message for
VertexRagDataService.UploadRagFile.
|
com.google.cloud.aiplatform.v1beta1.UploadRagFileRequest.Builder |
Request message for
VertexRagDataService.UploadRagFile.
|
com.google.cloud.aiplatform.v1beta1.UploadRagFileResponse |
Response message for
VertexRagDataService.UploadRagFile.
|
com.google.cloud.aiplatform.v1beta1.UploadRagFileResponse.Builder |
Response message for
VertexRagDataService.UploadRagFile.
|
com.google.cloud.aiplatform.v1beta1.UpsertDatapointsRequest |
Request message for
IndexService.UpsertDatapoints
|
com.google.cloud.aiplatform.v1beta1.UpsertDatapointsRequest.Builder |
Request message for
IndexService.UpsertDatapoints
|
com.google.cloud.aiplatform.v1beta1.UpsertDatapointsResponse |
Response message for
IndexService.UpsertDatapoints
|
com.google.cloud.aiplatform.v1beta1.UpsertDatapointsResponse.Builder |
Response message for
IndexService.UpsertDatapoints
|
com.google.cloud.aiplatform.v1beta1.UserActionReference |
References an API call. It contains more information about long running
operation and Jobs that are triggered by the API call.
|
com.google.cloud.aiplatform.v1beta1.UserActionReference.Builder |
References an API call. It contains more information about long running
operation and Jobs that are triggered by the API call.
|
com.google.cloud.aiplatform.v1beta1.UserActionReferenceProto |
|
com.google.cloud.aiplatform.v1beta1.Value |
Value is the value of the field.
|
com.google.cloud.aiplatform.v1beta1.Value.Builder |
Value is the value of the field.
|
com.google.cloud.aiplatform.v1beta1.ValueProto |
|
com.google.cloud.aiplatform.v1beta1.VertexAISearch |
Retrieve from Vertex AI Search datastore for grounding.
See https://cloud.google.com/vertex-ai-search-and-conversation
|
com.google.cloud.aiplatform.v1beta1.VertexAISearch.Builder |
Retrieve from Vertex AI Search datastore for grounding.
See https://cloud.google.com/vertex-ai-search-and-conversation
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataProto |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceClient.ListRagCorporaFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceClient.ListRagCorporaPage |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceClient.ListRagCorporaPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceClient.ListRagFilesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceClient.ListRagFilesPage |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceClient.ListRagFilesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceGrpc |
A service for managing user data for RAG.
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceGrpc.VertexRagDataServiceImplBase |
Base class for the server implementation of the service VertexRagDataService.
A service for managing user data for RAG. |
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceProto |
|
com.google.cloud.aiplatform.v1beta1.VertexRagDataServiceSettings.Builder |
Builder for VertexRagDataServiceSettings. |
com.google.cloud.aiplatform.v1beta1.VertexRagServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.VertexRagServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.VertexRagServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.VertexRagServiceGrpc |
A service for retrieving relevant contexts.
|
com.google.cloud.aiplatform.v1beta1.VertexRagServiceGrpc.VertexRagServiceImplBase |
Base class for the server implementation of the service VertexRagService.
A service for retrieving relevant contexts. |
com.google.cloud.aiplatform.v1beta1.VertexRagServiceProto |
|
com.google.cloud.aiplatform.v1beta1.VertexRagServiceSettings.Builder |
Builder for VertexRagServiceSettings. |
com.google.cloud.aiplatform.v1beta1.VertexRagStore |
Retrieve from Vertex RAG Store for grounding.
|
com.google.cloud.aiplatform.v1beta1.VertexRagStore.Builder |
Retrieve from Vertex RAG Store for grounding.
|
com.google.cloud.aiplatform.v1beta1.VertexRagStore.RagResource |
The definition of the Rag resource.
|
com.google.cloud.aiplatform.v1beta1.VertexRagStore.RagResource.Builder |
The definition of the Rag resource.
|
com.google.cloud.aiplatform.v1beta1.VideoMetadata |
Metadata describes the input video content.
|
com.google.cloud.aiplatform.v1beta1.VideoMetadata.Builder |
Metadata describes the input video content.
|
com.google.cloud.aiplatform.v1beta1.VizierServiceClient.ListLocationsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.VizierServiceClient.ListLocationsPage |
|
com.google.cloud.aiplatform.v1beta1.VizierServiceClient.ListLocationsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.VizierServiceClient.ListStudiesFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.VizierServiceClient.ListStudiesPage |
|
com.google.cloud.aiplatform.v1beta1.VizierServiceClient.ListStudiesPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.VizierServiceClient.ListTrialsFixedSizeCollection |
|
com.google.cloud.aiplatform.v1beta1.VizierServiceClient.ListTrialsPage |
|
com.google.cloud.aiplatform.v1beta1.VizierServiceClient.ListTrialsPagedResponse |
|
com.google.cloud.aiplatform.v1beta1.VizierServiceGrpc |
Vertex AI Vizier API.
Vertex AI Vizier is a service to solve blackbox optimization problems,
such as tuning machine learning hyperparameters and searching over deep |
com.google.cloud.aiplatform.v1beta1.VizierServiceGrpc.VizierServiceImplBase |
Base class for the server implementation of the service VizierService.
Vertex AI Vizier API. |
com.google.cloud.aiplatform.v1beta1.VizierServiceProto |
|
com.google.cloud.aiplatform.v1beta1.VizierServiceSettings.Builder |
Builder for VizierServiceSettings. |
com.google.cloud.aiplatform.v1beta1.WorkerPoolSpec |
Represents the spec of a worker pool in a job.
|
com.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.Builder |
Represents the spec of a worker pool in a job.
|
com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesPayload |
Contains Feature values to be written for a specific entity.
|
com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesPayload.Builder |
Contains Feature values to be written for a specific entity.
|
com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesRequest |
Request message for
FeaturestoreOnlineServingService.WriteFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesRequest.Builder |
Request message for
FeaturestoreOnlineServingService.WriteFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesResponse |
Response message for
FeaturestoreOnlineServingService.WriteFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.WriteFeatureValuesResponse.Builder |
Response message for
FeaturestoreOnlineServingService.WriteFeatureValues.
|
com.google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataRequest |
Request message for
TensorboardService.WriteTensorboardExperimentData.
|
com.google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataRequest.Builder |
Request message for
TensorboardService.WriteTensorboardExperimentData.
|
com.google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataResponse |
Response message for
TensorboardService.WriteTensorboardExperimentData.
|
com.google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataResponse.Builder |
Response message for
TensorboardService.WriteTensorboardExperimentData.
|
com.google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest |
Request message for
TensorboardService.WriteTensorboardRunData.
|
com.google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest.Builder |
Request message for
TensorboardService.WriteTensorboardRunData.
|
com.google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse |
Response message for
TensorboardService.WriteTensorboardRunData.
|
com.google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse.Builder |
Response message for
TensorboardService.WriteTensorboardRunData.
|
com.google.cloud.aiplatform.v1beta1.XraiAttribution |
An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's fully
differentiable structure. Refer to this paper for more details: |
com.google.cloud.aiplatform.v1beta1.XraiAttribution.Builder |
An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's fully
differentiable structure. Refer to this paper for more details: |