| Class | Description |
|---|---|
| AcceleratorTypeProto | |
| ActiveLearningConfig |
Parameters that configure the active learning pipeline.
|
| ActiveLearningConfig.Builder |
Parameters that configure the active learning pipeline.
|
| Annotation |
Used to assign specific AnnotationSpec to a particular area of a DataItem or
the whole part of the DataItem.
|
| Annotation.Builder |
Used to assign specific AnnotationSpec to a particular area of a DataItem or
the whole part of the DataItem.
|
| AnnotationProto | |
| AnnotationSpec |
Identifies a concept with which DataItems may be annotated with.
|
| AnnotationSpec.Builder |
Identifies a concept with which DataItems may be annotated with.
|
| AnnotationSpecName | |
| AnnotationSpecName.Builder |
Builder for
projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}.
|
| AnnotationSpecProto | |
| Artifact |
Instance of a general artifact.
|
| Artifact.Builder |
Instance of a general artifact.
|
| ArtifactProto | |
| Attribution |
Attribution that explains a particular prediction output.
|
| Attribution.Builder |
Attribution that explains a particular prediction output.
|
| AutomaticResources |
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
|
| AutomaticResources.Builder |
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
|
| AutoscalingMetricSpec |
The metric specification that defines the target resource utilization
(CPU utilization, accelerator's duty cycle, and so on) for calculating the
desired replica count.
|
| AutoscalingMetricSpec.Builder |
The metric specification that defines the target resource utilization
(CPU utilization, accelerator's duty cycle, and so on) for calculating the
desired replica count.
|
| BatchDedicatedResources |
A description of resources that are used for performing batch operations, are
dedicated to a Model, and need manual configuration.
|
| BatchDedicatedResources.Builder |
A description of resources that are used for performing batch operations, are
dedicated to a Model, and need manual configuration.
|
| BatchMigrateResourcesOperationMetadata |
Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchMigrateResourcesOperationMetadata.Builder |
Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchMigrateResourcesOperationMetadata.PartialResult |
Represents a partial result in batch migration operation for one
[MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
|
| BatchMigrateResourcesOperationMetadata.PartialResult.Builder |
Represents a partial result in batch migration operation for one
[MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
|
| BatchMigrateResourcesRequest |
Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchMigrateResourcesRequest.Builder |
Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchMigrateResourcesResponse |
Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchMigrateResourcesResponse.Builder |
Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
|
| BatchPredictionJob |
A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions
on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
|
| BatchPredictionJob.Builder |
A job that uses a [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce predictions
on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].
|
| BatchPredictionJob.InputConfig |
Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| BatchPredictionJob.InputConfig.Builder |
Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| BatchPredictionJob.OutputConfig |
Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| BatchPredictionJob.OutputConfig.Builder |
Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| BatchPredictionJob.OutputInfo |
Further describes this job's output.
|
| BatchPredictionJob.OutputInfo.Builder |
Further describes this job's output.
|
| BatchPredictionJobName | |
| BatchPredictionJobName.Builder |
Builder for projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}.
|
| BatchPredictionJobProto | |
| BigQueryDestination |
The BigQuery location for the output content.
|
| BigQueryDestination.Builder |
The BigQuery location for the output content.
|
| BigQuerySource |
The BigQuery location for the input content.
|
| BigQuerySource.Builder |
The BigQuery location for the input content.
|
| CancelBatchPredictionJobRequest |
Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
|
| CancelBatchPredictionJobRequest.Builder |
Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
|
| CancelCustomJobRequest |
Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
|
| CancelCustomJobRequest.Builder |
Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
|
| CancelDataLabelingJobRequest |
Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
|
| CancelDataLabelingJobRequest.Builder |
Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
|
| CancelHyperparameterTuningJobRequest |
Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
|
| CancelHyperparameterTuningJobRequest.Builder |
Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
|
| CancelPipelineJobRequest |
Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
|
| CancelPipelineJobRequest.Builder |
Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob].
|
| CancelTrainingPipelineRequest |
Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
|
| CancelTrainingPipelineRequest.Builder |
Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline].
|
| CompletionStats |
Success and error statistics of processing multiple entities
(for example, DataItems or structured data rows) in batch.
|
| CompletionStats.Builder |
Success and error statistics of processing multiple entities
(for example, DataItems or structured data rows) in batch.
|
| CompletionStatsProto | |
| ContainerRegistryDestination |
The Container Registry location for the container image.
|
| ContainerRegistryDestination.Builder |
The Container Registry location for the container image.
|
| ContainerSpec |
The spec of a Container.
|
| ContainerSpec.Builder |
The spec of a Container.
|
| Context |
Instance of a general context.
|
| Context.Builder |
Instance of a general context.
|
| ContextProto | |
| CreateBatchPredictionJobRequest |
Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
|
| CreateBatchPredictionJobRequest.Builder |
Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
|
| CreateCustomJobRequest |
Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
|
| CreateCustomJobRequest.Builder |
Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
|
| CreateDataLabelingJobRequest |
Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
|
| CreateDataLabelingJobRequest.Builder |
Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
|
| CreateDatasetOperationMetadata |
Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
|
| CreateDatasetOperationMetadata.Builder |
Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
|
| CreateDatasetRequest |
Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
|
| CreateDatasetRequest.Builder |
Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
|
| CreateEndpointOperationMetadata |
Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointOperationMetadata.Builder |
Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointRequest |
Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointRequest.Builder |
Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateHyperparameterTuningJobRequest |
Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
|
| CreateHyperparameterTuningJobRequest.Builder |
Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
|
| CreateIndexEndpointOperationMetadata |
Runtime operation information for
[IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
|
| CreateIndexEndpointOperationMetadata.Builder |
Runtime operation information for
[IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
|
| CreateIndexEndpointRequest |
Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
|
| CreateIndexEndpointRequest.Builder |
Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint].
|
| CreateIndexOperationMetadata |
Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
|
| CreateIndexOperationMetadata.Builder |
Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
|
| CreateIndexRequest |
Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
|
| CreateIndexRequest.Builder |
Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex].
|
| CreateModelDeploymentMonitoringJobRequest |
Request message for
[JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].
|
| CreateModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].
|
| CreatePipelineJobRequest |
Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
|
| CreatePipelineJobRequest.Builder |
Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob].
|
| CreateSpecialistPoolOperationMetadata |
Runtime operation information for
[SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
|
| CreateSpecialistPoolOperationMetadata.Builder |
Runtime operation information for
[SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
|
| CreateSpecialistPoolRequest |
Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
|
| CreateSpecialistPoolRequest.Builder |
Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.CreateSpecialistPool].
|
| CreateTrainingPipelineRequest |
Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
|
| CreateTrainingPipelineRequest.Builder |
Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline].
|
| CustomJob |
Represents a job that runs custom workloads such as a Docker container or a
Python package.
|
| CustomJob.Builder |
Represents a job that runs custom workloads such as a Docker container or a
Python package.
|
| CustomJobName | |
| CustomJobName.Builder |
Builder for projects/{project}/locations/{location}/customJobs/{custom_job}.
|
| CustomJobProto | |
| CustomJobSpec |
Represents the spec of a CustomJob.
|
| CustomJobSpec.Builder |
Represents the spec of a CustomJob.
|
| DataItem |
A piece of data in a Dataset.
|
| DataItem.Builder |
A piece of data in a Dataset.
|
| DataItemName | |
| DataItemName.Builder |
Builder for projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}.
|
| DataItemProto | |
| DataLabelingJob |
DataLabelingJob is used to trigger a human labeling job on unlabeled data
from the following Dataset:
|
| DataLabelingJob.Builder |
DataLabelingJob is used to trigger a human labeling job on unlabeled data
from the following Dataset:
|
| DataLabelingJobName | |
| DataLabelingJobName.Builder |
Builder for projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}.
|
| DataLabelingJobProto | |
| Dataset |
A collection of DataItems and Annotations on them.
|
| Dataset.Builder |
A collection of DataItems and Annotations on them.
|
| DatasetName | |
| DatasetName.Builder |
Builder for projects/{project}/locations/{location}/datasets/{dataset}.
|
| DatasetProto | |
| DatasetServiceProto | |
| DedicatedResources |
A description of resources that are dedicated to a DeployedModel, and
that need a higher degree of manual configuration.
|
| DedicatedResources.Builder |
A description of resources that are dedicated to a DeployedModel, and
that need a higher degree of manual configuration.
|
| DeleteBatchPredictionJobRequest |
Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
|
| DeleteBatchPredictionJobRequest.Builder |
Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
|
| DeleteCustomJobRequest |
Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
|
| DeleteCustomJobRequest.Builder |
Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
|
| DeleteDataLabelingJobRequest |
Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
|
| DeleteDataLabelingJobRequest.Builder |
Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
|
| DeleteDatasetRequest |
Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
|
| DeleteDatasetRequest.Builder |
Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
|
| DeleteEndpointRequest |
Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
|
| DeleteEndpointRequest.Builder |
Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
|
| DeleteHyperparameterTuningJobRequest |
Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
|
| DeleteHyperparameterTuningJobRequest.Builder |
Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
|
| DeleteIndexEndpointRequest |
Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
|
| DeleteIndexEndpointRequest.Builder |
Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint].
|
| DeleteIndexRequest |
Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
|
| DeleteIndexRequest.Builder |
Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex].
|
| DeleteModelDeploymentMonitoringJobRequest |
Request message for
[JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob].
|
| DeleteModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob].
|
| DeleteModelRequest |
Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
|
| DeleteModelRequest.Builder |
Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
|
| DeleteOperationMetadata |
Details of operations that perform deletes of any entities.
|
| DeleteOperationMetadata.Builder |
Details of operations that perform deletes of any entities.
|
| DeletePipelineJobRequest |
Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
|
| DeletePipelineJobRequest.Builder |
Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob].
|
| DeleteSpecialistPoolRequest |
Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
|
| DeleteSpecialistPoolRequest.Builder |
Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.DeleteSpecialistPool].
|
| DeleteTrainingPipelineRequest |
Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
|
| DeleteTrainingPipelineRequest.Builder |
Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline].
|
| DeployedIndex |
A deployment of an Index.
|
| DeployedIndex.Builder |
A deployment of an Index.
|
| DeployedIndexAuthConfig |
Used to set up the auth on the DeployedIndex's private endpoint.
|
| DeployedIndexAuthConfig.AuthProvider |
Configuration for an authentication provider, including support for
[JSON Web Token
(JWT)](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32).
|
| DeployedIndexAuthConfig.AuthProvider.Builder |
Configuration for an authentication provider, including support for
[JSON Web Token
(JWT)](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32).
|
| DeployedIndexAuthConfig.Builder |
Used to set up the auth on the DeployedIndex's private endpoint.
|
| DeployedIndexRef |
Points to a DeployedIndex.
|
| DeployedIndexRef.Builder |
Points to a DeployedIndex.
|
| DeployedIndexRefProto | |
| DeployedModel |
A deployment of a Model.
|
| DeployedModel.Builder |
A deployment of a Model.
|
| DeployedModelNameProto | |
| DeployedModelRef |
Points to a DeployedModel.
|
| DeployedModelRef.Builder |
Points to a DeployedModel.
|
| DeployIndexOperationMetadata |
Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployIndexOperationMetadata.Builder |
Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployIndexRequest |
Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployIndexRequest.Builder |
Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployIndexResponse |
Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployIndexResponse.Builder |
Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex].
|
| DeployModelOperationMetadata |
Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelOperationMetadata.Builder |
Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelRequest |
Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelRequest.Builder |
Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelResponse |
Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelResponse.Builder |
Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DiskSpec |
Represents the spec of disk options.
|
| DiskSpec.Builder |
Represents the spec of disk options.
|
| EncryptionSpec |
Represents a customer-managed encryption key spec that can be applied to
a top-level resource.
|
| EncryptionSpec.Builder |
Represents a customer-managed encryption key spec that can be applied to
a top-level resource.
|
| EncryptionSpecProto | |
| Endpoint |
Models are deployed into it, and afterwards Endpoint is called to obtain
predictions and explanations.
|
| Endpoint.Builder |
Models are deployed into it, and afterwards Endpoint is called to obtain
predictions and explanations.
|
| EndpointName | |
| EndpointName.Builder |
Builder for projects/{project}/locations/{location}/endpoints/{endpoint}.
|
| EndpointProto | |
| EndpointServiceProto | |
| EnvVar |
Represents an environment variable present in a Container or Python Module.
|
| EnvVar.Builder |
Represents an environment variable present in a Container or Python Module.
|
| EnvVarProto | |
| Execution |
Instance of a general execution.
|
| Execution.Builder |
Instance of a general execution.
|
| ExecutionProto | |
| ExplainRequest |
Request message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainRequest.Builder |
Request message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainResponse |
Response message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainResponse.Builder |
Response message for [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| Explanation |
Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
produced by the Model on a given [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
|
| Explanation.Builder |
Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
produced by the Model on a given [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
|
| ExplanationMetadata |
Metadata describing the Model's input and output for explanation.
|
| ExplanationMetadata.Builder |
Metadata describing the Model's input and output for explanation.
|
| ExplanationMetadata.InputMetadata |
Metadata of the input of a feature.
|
| ExplanationMetadata.InputMetadata.Builder |
Metadata of the input of a feature.
|
| ExplanationMetadata.InputMetadata.FeatureValueDomain |
Domain details of the input feature value.
|
| ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder |
Domain details of the input feature value.
|
| ExplanationMetadata.InputMetadata.Visualization |
Visualization configurations for image explanation.
|
| ExplanationMetadata.InputMetadata.Visualization.Builder |
Visualization configurations for image explanation.
|
| ExplanationMetadata.OutputMetadata |
Metadata of the prediction output to be explained.
|
| ExplanationMetadata.OutputMetadata.Builder |
Metadata of the prediction output to be explained.
|
| ExplanationMetadataOverride |
The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata] entries that can be overridden at
[online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationMetadataOverride.Builder |
The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata] entries that can be overridden at
[online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationMetadataOverride.InputMetadataOverride |
The [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata] entries to be
overridden.
|
| ExplanationMetadataOverride.InputMetadataOverride.Builder |
The [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata] entries to be
overridden.
|
| ExplanationMetadataProto | |
| ExplanationParameters |
Parameters to configure explaining for Model's predictions.
|
| ExplanationParameters.Builder |
Parameters to configure explaining for Model's predictions.
|
| ExplanationProto | |
| ExplanationSpec |
Specification of Model explanation.
|
| ExplanationSpec.Builder |
Specification of Model explanation.
|
| ExplanationSpecOverride |
The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries that can be overridden at
[online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationSpecOverride.Builder |
The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries that can be overridden at
[online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExportDataConfig |
Describes what part of the Dataset is to be exported, the destination of
the export and how to export.
|
| ExportDataConfig.Builder |
Describes what part of the Dataset is to be exported, the destination of
the export and how to export.
|
| ExportDataOperationMetadata |
Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportDataOperationMetadata.Builder |
Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportDataRequest |
Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportDataRequest.Builder |
Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportDataResponse |
Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportDataResponse.Builder |
Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
|
| ExportModelOperationMetadata |
Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
|
| ExportModelOperationMetadata.Builder |
Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
|
| ExportModelOperationMetadata.OutputInfo |
Further describes the output of the ExportModel.
|
| ExportModelOperationMetadata.OutputInfo.Builder |
Further describes the output of the ExportModel.
|
| ExportModelRequest |
Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
|
| ExportModelRequest.Builder |
Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
|
| ExportModelRequest.OutputConfig |
Output configuration for the Model export.
|
| ExportModelRequest.OutputConfig.Builder |
Output configuration for the Model export.
|
| ExportModelResponse |
Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
|
| ExportModelResponse.Builder |
Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
|
| FeatureMonitoringStatsProto | |
| FeatureNoiseSigma |
Noise sigma by features.
|
| FeatureNoiseSigma.Builder |
Noise sigma by features.
|
| FeatureNoiseSigma.NoiseSigmaForFeature |
Noise sigma for a single feature.
|
| FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
Noise sigma for a single feature.
|
| FeatureStatsAnomaly |
Stats and Anomaly generated at specific timestamp for specific Feature.
|
| FeatureStatsAnomaly.Builder |
Stats and Anomaly generated at specific timestamp for specific Feature.
|
| FilterSplit |
Assigns input data to training, validation, and test sets based on the given
filters, data pieces not matched by any filter are ignored.
|
| FilterSplit.Builder |
Assigns input data to training, validation, and test sets based on the given
filters, data pieces not matched by any filter are ignored.
|
| FractionSplit |
Assigns the input data to training, validation, and test sets as per the
given fractions.
|
| FractionSplit.Builder |
Assigns the input data to training, validation, and test sets as per the
given fractions.
|
| GcsDestination |
The Google Cloud Storage location where the output is to be written to.
|
| GcsDestination.Builder |
The Google Cloud Storage location where the output is to be written to.
|
| GcsSource |
The Google Cloud Storage location for the input content.
|
| GcsSource.Builder |
The Google Cloud Storage location for the input content.
|
| GenericOperationMetadata |
Generic Metadata shared by all operations.
|
| GenericOperationMetadata.Builder |
Generic Metadata shared by all operations.
|
| GetAnnotationSpecRequest |
Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
|
| GetAnnotationSpecRequest.Builder |
Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
|
| GetBatchPredictionJobRequest |
Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
|
| GetBatchPredictionJobRequest.Builder |
Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
|
| GetCustomJobRequest |
Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
|
| GetCustomJobRequest.Builder |
Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
|
| GetDataLabelingJobRequest |
Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
|
| GetDataLabelingJobRequest.Builder |
Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
|
| GetDatasetRequest |
Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
|
| GetDatasetRequest.Builder |
Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
|
| GetEndpointRequest |
Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
|
| GetEndpointRequest.Builder |
Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
|
| GetHyperparameterTuningJobRequest |
Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
|
| GetHyperparameterTuningJobRequest.Builder |
Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
|
| GetIndexEndpointRequest |
Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
|
| GetIndexEndpointRequest.Builder |
Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint]
|
| GetIndexRequest |
Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
|
| GetIndexRequest.Builder |
Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex]
|
| GetModelDeploymentMonitoringJobRequest |
Request message for
[JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob].
|
| GetModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob].
|
| GetModelEvaluationRequest |
Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
|
| GetModelEvaluationRequest.Builder |
Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
|
| GetModelEvaluationSliceRequest |
Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
|
| GetModelEvaluationSliceRequest.Builder |
Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
|
| GetModelRequest |
Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
|
| GetModelRequest.Builder |
Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
|
| GetPipelineJobRequest |
Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
|
| GetPipelineJobRequest.Builder |
Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob].
|
| GetSpecialistPoolRequest |
Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
|
| GetSpecialistPoolRequest.Builder |
Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.GetSpecialistPool].
|
| GetTrainingPipelineRequest |
Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
|
| GetTrainingPipelineRequest.Builder |
Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline].
|
| HyperparameterTuningJob |
Represents a HyperparameterTuningJob.
|
| HyperparameterTuningJob.Builder |
Represents a HyperparameterTuningJob.
|
| HyperparameterTuningJobName | |
| HyperparameterTuningJobName.Builder |
Builder for
projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}.
|
| HyperparameterTuningJobProto | |
| ImportDataConfig |
Describes the location from where we import data into a Dataset, together
with the labels that will be applied to the DataItems and the Annotations.
|
| ImportDataConfig.Builder |
Describes the location from where we import data into a Dataset, together
with the labels that will be applied to the DataItems and the Annotations.
|
| ImportDataOperationMetadata |
Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportDataOperationMetadata.Builder |
Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportDataRequest |
Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportDataRequest.Builder |
Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportDataResponse |
Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| ImportDataResponse.Builder |
Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
|
| Index |
A representation of a collection of database items organized in a way that
allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
|
| Index.Builder |
A representation of a collection of database items organized in a way that
allows for approximate nearest neighbor (a.k.a ANN) algorithms search.
|
| IndexEndpoint |
Indexes are deployed into it.
|
| IndexEndpoint.Builder |
Indexes are deployed into it.
|
| IndexEndpointName | |
| IndexEndpointName.Builder |
Builder for projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}.
|
| IndexEndpointProto | |
| IndexEndpointServiceProto | |
| IndexName | |
| IndexName.Builder |
Builder for projects/{project}/locations/{location}/indexes/{index}.
|
| IndexPrivateEndpoints |
IndexPrivateEndpoints proto is used to provide paths for users to send
requests via private services access.
|
| IndexPrivateEndpoints.Builder |
IndexPrivateEndpoints proto is used to provide paths for users to send
requests via private services access.
|
| IndexProto | |
| IndexServiceProto | |
| InputDataConfig |
Specifies Vertex AI owned input data to be used for training, and
possibly evaluating, the Model.
|
| InputDataConfig.Builder |
Specifies Vertex AI owned input data to be used for training, and
possibly evaluating, the Model.
|
| IntegratedGradientsAttribution |
An attribution method that computes the Aumann-Shapley value taking advantage
of the model's fully differentiable structure.
|
| IntegratedGradientsAttribution.Builder |
An attribution method that computes the Aumann-Shapley value taking advantage
of the model's fully differentiable structure.
|
| IoProto | |
| JobServiceProto | |
| JobStateProto | |
| ListAnnotationsRequest |
Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
|
| ListAnnotationsRequest.Builder |
Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
|
| ListAnnotationsResponse |
Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
|
| ListAnnotationsResponse.Builder |
Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
|
| ListBatchPredictionJobsRequest |
Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
|
| ListBatchPredictionJobsRequest.Builder |
Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
|
| ListBatchPredictionJobsResponse |
Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
|
| ListBatchPredictionJobsResponse.Builder |
Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
|
| ListCustomJobsRequest |
Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
|
| ListCustomJobsRequest.Builder |
Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
|
| ListCustomJobsResponse |
Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
|
| ListCustomJobsResponse.Builder |
Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
|
| ListDataItemsRequest |
Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
|
| ListDataItemsRequest.Builder |
Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
|
| ListDataItemsResponse |
Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
|
| ListDataItemsResponse.Builder |
Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
|
| ListDataLabelingJobsRequest |
Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
|
| ListDataLabelingJobsRequest.Builder |
Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
|
| ListDataLabelingJobsResponse |
Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
|
| ListDataLabelingJobsResponse.Builder |
Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
|
| ListDatasetsRequest |
Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
|
| ListDatasetsRequest.Builder |
Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
|
| ListDatasetsResponse |
Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
|
| ListDatasetsResponse.Builder |
Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
|
| ListEndpointsRequest |
Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsRequest.Builder |
Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsResponse |
Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsResponse.Builder |
Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListHyperparameterTuningJobsRequest |
Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
|
| ListHyperparameterTuningJobsRequest.Builder |
Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
|
| ListHyperparameterTuningJobsResponse |
Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
|
| ListHyperparameterTuningJobsResponse.Builder |
Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
|
| ListIndexEndpointsRequest |
Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
|
| ListIndexEndpointsRequest.Builder |
Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
|
| ListIndexEndpointsResponse |
Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
|
| ListIndexEndpointsResponse.Builder |
Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints].
|
| ListIndexesRequest |
Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
|
| ListIndexesRequest.Builder |
Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
|
| ListIndexesResponse |
Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
|
| ListIndexesResponse.Builder |
Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes].
|
| ListModelDeploymentMonitoringJobsRequest |
Request message for
[JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
|
| ListModelDeploymentMonitoringJobsRequest.Builder |
Request message for
[JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
|
| ListModelDeploymentMonitoringJobsResponse |
Response message for
[JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
|
| ListModelDeploymentMonitoringJobsResponse.Builder |
Response message for
[JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
|
| ListModelEvaluationSlicesRequest |
Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
|
| ListModelEvaluationSlicesRequest.Builder |
Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
|
| ListModelEvaluationSlicesResponse |
Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
|
| ListModelEvaluationSlicesResponse.Builder |
Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
|
| ListModelEvaluationsRequest |
Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
|
| ListModelEvaluationsRequest.Builder |
Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
|
| ListModelEvaluationsResponse |
Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
|
| ListModelEvaluationsResponse.Builder |
Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
|
| ListModelsRequest |
Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
|
| ListModelsRequest.Builder |
Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
|
| ListModelsResponse |
Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
|
| ListModelsResponse.Builder |
Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
|
| ListPipelineJobsRequest |
Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
|
| ListPipelineJobsRequest.Builder |
Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs].
|
| ListPipelineJobsResponse |
Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
|
| ListPipelineJobsResponse.Builder |
Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]
|
| ListSpecialistPoolsRequest |
Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
|
| ListSpecialistPoolsRequest.Builder |
Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
|
| ListSpecialistPoolsResponse |
Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
|
| ListSpecialistPoolsResponse.Builder |
Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1.SpecialistPoolService.ListSpecialistPools].
|
| ListTrainingPipelinesRequest |
Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
|
| ListTrainingPipelinesRequest.Builder |
Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines].
|
| ListTrainingPipelinesResponse |
Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
|
| ListTrainingPipelinesResponse.Builder |
Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]
|
| LocationName | |
| LocationName.Builder |
Builder for projects/{project}/locations/{location}.
|
| MachineResourcesProto | |
| MachineSpec |
Specification of a single machine.
|
| MachineSpec.Builder |
Specification of a single machine.
|
| ManualBatchTuningParameters |
Manual batch tuning parameters.
|
| ManualBatchTuningParameters.Builder |
Manual batch tuning parameters.
|
| ManualBatchTuningParametersProto | |
| Measurement |
A message representing a Measurement of a Trial.
|
| Measurement.Builder |
A message representing a Measurement of a Trial.
|
| Measurement.Metric |
A message representing a metric in the measurement.
|
| Measurement.Metric.Builder |
A message representing a metric in the measurement.
|
| MigratableResource |
Represents one resource that exists in automl.googleapis.com,
datalabeling.googleapis.com or ml.googleapis.com.
|
| MigratableResource.AutomlDataset |
Represents one Dataset in automl.googleapis.com.
|
| MigratableResource.AutomlDataset.Builder |
Represents one Dataset in automl.googleapis.com.
|
| MigratableResource.AutomlModel |
Represents one Model in automl.googleapis.com.
|
| MigratableResource.AutomlModel.Builder |
Represents one Model in automl.googleapis.com.
|
| MigratableResource.Builder |
Represents one resource that exists in automl.googleapis.com,
datalabeling.googleapis.com or ml.googleapis.com.
|
| MigratableResource.DataLabelingDataset |
Represents one Dataset in datalabeling.googleapis.com.
|
| MigratableResource.DataLabelingDataset.Builder |
Represents one Dataset in datalabeling.googleapis.com.
|
| MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset |
Represents one AnnotatedDataset in datalabeling.googleapis.com.
|
| MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset.Builder |
Represents one AnnotatedDataset in datalabeling.googleapis.com.
|
| MigratableResource.MlEngineModelVersion |
Represents one model Version in ml.googleapis.com.
|
| MigratableResource.MlEngineModelVersion.Builder |
Represents one model Version in ml.googleapis.com.
|
| MigratableResourceProto | |
| MigrateResourceRequest |
Config of migrating one resource from automl.googleapis.com,
datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
|
| MigrateResourceRequest.Builder |
Config of migrating one resource from automl.googleapis.com,
datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
|
| MigrateResourceRequest.MigrateAutomlDatasetConfig |
Config for migrating Dataset in automl.googleapis.com to Vertex AI's
Dataset.
|
| MigrateResourceRequest.MigrateAutomlDatasetConfig.Builder |
Config for migrating Dataset in automl.googleapis.com to Vertex AI's
Dataset.
|
| MigrateResourceRequest.MigrateAutomlModelConfig |
Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
|
| MigrateResourceRequest.MigrateAutomlModelConfig.Builder |
Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
|
| MigrateResourceRequest.MigrateDataLabelingDatasetConfig |
Config for migrating Dataset in datalabeling.googleapis.com to Vertex
AI's Dataset.
|
| MigrateResourceRequest.MigrateDataLabelingDatasetConfig.Builder |
Config for migrating Dataset in datalabeling.googleapis.com to Vertex
AI's Dataset.
|
| MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig |
Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
Vertex AI's SavedQuery.
|
| MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig.Builder |
Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
Vertex AI's SavedQuery.
|
| MigrateResourceRequest.MigrateMlEngineModelVersionConfig |
Config for migrating version in ml.googleapis.com to Vertex AI's Model.
|
| MigrateResourceRequest.MigrateMlEngineModelVersionConfig.Builder |
Config for migrating version in ml.googleapis.com to Vertex AI's Model.
|
| MigrateResourceResponse |
Describes a successfully migrated resource.
|
| MigrateResourceResponse.Builder |
Describes a successfully migrated resource.
|
| MigrationServiceProto | |
| Model |
A trained machine learning Model.
|
| Model.Builder |
A trained machine learning Model.
|
| Model.ExportFormat |
Represents export format supported by the Model.
|
| Model.ExportFormat.Builder |
Represents export format supported by the Model.
|
| ModelContainerSpec |
Specification of a container for serving predictions.
|
| ModelContainerSpec.Builder |
Specification of a container for serving predictions.
|
| ModelDeploymentMonitoringBigQueryTable |
ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name
as well as some information of the logs stored in this table.
|
| ModelDeploymentMonitoringBigQueryTable.Builder |
ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name
as well as some information of the logs stored in this table.
|
| ModelDeploymentMonitoringJob |
Represents a job that runs periodically to monitor the deployed models in an
endpoint.
|
| ModelDeploymentMonitoringJob.Builder |
Represents a job that runs periodically to monitor the deployed models in an
endpoint.
|
| ModelDeploymentMonitoringJobName | |
| ModelDeploymentMonitoringJobName.Builder |
Builder for
projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}.
|
| ModelDeploymentMonitoringJobProto | |
| ModelDeploymentMonitoringObjectiveConfig |
ModelDeploymentMonitoringObjectiveConfig contains the pair of
deployed_model_id to ModelMonitoringObjectiveConfig.
|
| ModelDeploymentMonitoringObjectiveConfig.Builder |
ModelDeploymentMonitoringObjectiveConfig contains the pair of
deployed_model_id to ModelMonitoringObjectiveConfig.
|
| ModelDeploymentMonitoringScheduleConfig |
The config for scheduling monitoring job.
|
| ModelDeploymentMonitoringScheduleConfig.Builder |
The config for scheduling monitoring job.
|
| ModelEvaluation |
A collection of metrics calculated by comparing Model's predictions on all of
the test data against annotations from the test data.
|
| ModelEvaluation.Builder |
A collection of metrics calculated by comparing Model's predictions on all of
the test data against annotations from the test data.
|
| ModelEvaluationName | |
| ModelEvaluationName.Builder |
Builder for projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}.
|
| ModelEvaluationProto | |
| ModelEvaluationSlice |
A collection of metrics calculated by comparing Model's predictions on a
slice of the test data against ground truth annotations.
|
| ModelEvaluationSlice.Builder |
A collection of metrics calculated by comparing Model's predictions on a
slice of the test data against ground truth annotations.
|
| ModelEvaluationSlice.Slice |
Definition of a slice.
|
| ModelEvaluationSlice.Slice.Builder |
Definition of a slice.
|
| ModelEvaluationSliceName | |
| ModelEvaluationSliceName.Builder |
Builder for
projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}.
|
| ModelEvaluationSliceProto | |
| ModelExplanation |
Aggregated explanation metrics for a Model over a set of instances.
|
| ModelExplanation.Builder |
Aggregated explanation metrics for a Model over a set of instances.
|
| ModelMonitoringAlertConfig |
Next ID: 2
|
| ModelMonitoringAlertConfig.Builder |
Next ID: 2
|
| ModelMonitoringAlertConfig.EmailAlertConfig |
The config for email alert.
|
| ModelMonitoringAlertConfig.EmailAlertConfig.Builder |
The config for email alert.
|
| ModelMonitoringObjectiveConfig |
Next ID: 6
|
| ModelMonitoringObjectiveConfig.Builder |
Next ID: 6
|
| ModelMonitoringObjectiveConfig.ExplanationConfig |
The config for integrated with Explainable AI.
|
| ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
The config for integrated with Explainable AI.
|
| ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline |
Output from [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for Model Monitoring baseline dataset,
which can be used to generate baseline attribution scores.
|
| ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder |
Output from [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] for Model Monitoring baseline dataset,
which can be used to generate baseline attribution scores.
|
| ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig |
The config for Prediction data drift detection.
|
| ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder |
The config for Prediction data drift detection.
|
| ModelMonitoringObjectiveConfig.TrainingDataset |
Training Dataset information.
|
| ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
Training Dataset information.
|
| ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig |
The config for Training & Prediction data skew detection.
|
| ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder |
The config for Training & Prediction data skew detection.
|
| ModelMonitoringProto | |
| ModelMonitoringStatsAnomalies |
Statistics and anomalies generated by Model Monitoring.
|
| ModelMonitoringStatsAnomalies.Builder |
Statistics and anomalies generated by Model Monitoring.
|
| ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies |
Historical Stats (and Anomalies) for a specific Feature.
|
| ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
Historical Stats (and Anomalies) for a specific Feature.
|
| ModelName | |
| ModelName.Builder |
Builder for projects/{project}/locations/{location}/models/{model}.
|
| ModelProto | |
| ModelServiceProto | |
| NearestNeighborSearchOperationMetadata |
Runtime operation metadata with regard to Matching Engine Index.
|
| NearestNeighborSearchOperationMetadata.Builder |
Runtime operation metadata with regard to Matching Engine Index.
|
| NearestNeighborSearchOperationMetadata.ContentValidationStats |
Protobuf type
google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.ContentValidationStats |
| NearestNeighborSearchOperationMetadata.ContentValidationStats.Builder |
Protobuf type
google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.ContentValidationStats |
| NearestNeighborSearchOperationMetadata.RecordError |
Protobuf type
google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.RecordError |
| NearestNeighborSearchOperationMetadata.RecordError.Builder |
Protobuf type
google.cloud.aiplatform.v1.NearestNeighborSearchOperationMetadata.RecordError |
| OperationProto | |
| PauseModelDeploymentMonitoringJobRequest |
Request message for
[JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob].
|
| PauseModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob].
|
| Pipeline | |
| PipelineJob |
An instance of a machine learning PipelineJob.
|
| PipelineJob.Builder |
An instance of a machine learning PipelineJob.
|
| PipelineJob.RuntimeConfig |
The runtime config of a PipelineJob.
|
| PipelineJob.RuntimeConfig.Builder |
The runtime config of a PipelineJob.
|
| PipelineJobDetail |
The runtime detail of PipelineJob.
|
| PipelineJobDetail.Builder |
The runtime detail of PipelineJob.
|
| PipelineJobName | |
| PipelineJobName.Builder |
Builder for projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}.
|
| PipelineServiceProto | |
| PipelineStateProto | |
| PipelineTaskDetail |
The runtime detail of a task execution.
|
| PipelineTaskDetail.ArtifactList |
A list of artifact metadata.
|
| PipelineTaskDetail.ArtifactList.Builder |
A list of artifact metadata.
|
| PipelineTaskDetail.Builder |
The runtime detail of a task execution.
|
| PipelineTaskExecutorDetail |
The runtime detail of a pipeline executor.
|
| PipelineTaskExecutorDetail.Builder |
The runtime detail of a pipeline executor.
|
| PipelineTaskExecutorDetail.ContainerDetail |
The detail of a container execution.
|
| PipelineTaskExecutorDetail.ContainerDetail.Builder |
The detail of a container execution.
|
| PipelineTaskExecutorDetail.CustomJobDetail | Deprecated |
| PipelineTaskExecutorDetail.CustomJobDetail.Builder |
The detailed info for a custom job executor.
|
| Port |
Represents a network port in a container.
|
| Port.Builder |
Represents a network port in a container.
|
| PredefinedSplit |
Assigns input data to training, validation, and test sets based on the
value of a provided key.
|
| PredefinedSplit.Builder |
Assigns input data to training, validation, and test sets based on the
value of a provided key.
|
| PredictionServiceProto | |
| PredictRequest |
Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictRequest.Builder |
Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictResponse |
Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictResponse.Builder |
Response message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictSchemata |
Contains the schemata used in Model's predictions and explanations via
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain] and
[BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| PredictSchemata.Builder |
Contains the schemata used in Model's predictions and explanations via
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain] and
[BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
|
| PythonPackageSpec |
The spec of a Python packaged code.
|
| PythonPackageSpec.Builder |
The spec of a Python packaged code.
|
| RawPredictRequest |
Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
|
| RawPredictRequest.Builder |
Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
|
| ResourcesConsumed |
Statistics information about resource consumption.
|
| ResourcesConsumed.Builder |
Statistics information about resource consumption.
|
| ResumeModelDeploymentMonitoringJobRequest |
Request message for
[JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob].
|
| ResumeModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob].
|
| SampleConfig |
Active learning data sampling config.
|
| SampleConfig.Builder |
Active learning data sampling config.
|
| SampledShapleyAttribution |
An attribution method that approximates Shapley values for features that
contribute to the label being predicted.
|
| SampledShapleyAttribution.Builder |
An attribution method that approximates Shapley values for features that
contribute to the label being predicted.
|
| SamplingStrategy |
Sampling Strategy for logging, can be for both training and prediction
dataset.
|
| SamplingStrategy.Builder |
Sampling Strategy for logging, can be for both training and prediction
dataset.
|
| SamplingStrategy.RandomSampleConfig |
Requests are randomly selected.
|
| SamplingStrategy.RandomSampleConfig.Builder |
Requests are randomly selected.
|
| Scheduling |
All parameters related to queuing and scheduling of custom jobs.
|
| Scheduling.Builder |
All parameters related to queuing and scheduling of custom jobs.
|
| SearchMigratableResourcesRequest |
Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
|
| SearchMigratableResourcesRequest.Builder |
Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
|
| SearchMigratableResourcesResponse |
Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
|
| SearchMigratableResourcesResponse.Builder |
Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
|
| SearchModelDeploymentMonitoringStatsAnomaliesRequest |
Request message for
[JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
|
| SearchModelDeploymentMonitoringStatsAnomaliesRequest.Builder |
Request message for
[JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
|
| SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective |
Stats requested for specific objective.
|
| SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.Builder |
Stats requested for specific objective.
|
| SearchModelDeploymentMonitoringStatsAnomaliesResponse |
Response message for
[JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
|
| SearchModelDeploymentMonitoringStatsAnomaliesResponse.Builder |
Response message for
[JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
|
| SmoothGradConfig |
Config for SmoothGrad approximation of gradients.
|
| SmoothGradConfig.Builder |
Config for SmoothGrad approximation of gradients.
|
| SpecialistPool |
SpecialistPool represents customers' own workforce to work on their data
labeling jobs.
|
| SpecialistPool.Builder |
SpecialistPool represents customers' own workforce to work on their data
labeling jobs.
|
| SpecialistPoolName | |
| SpecialistPoolName.Builder |
Builder for projects/{project}/locations/{location}/specialistPools/{specialist_pool}.
|
| SpecialistPoolProto | |
| SpecialistPoolServiceProto | |
| Study |
A message representing a Study.
|
| Study.Builder |
A message representing a Study.
|
| StudyProto | |
| StudySpec |
Represents specification of a Study.
|
| StudySpec.Builder |
Represents specification of a Study.
|
| StudySpec.DecayCurveAutomatedStoppingSpec |
The decay curve automated stopping rule builds a Gaussian Process
Regressor to predict the final objective value of a Trial based on the
already completed Trials and the intermediate measurements of the current
Trial.
|
| StudySpec.DecayCurveAutomatedStoppingSpec.Builder |
The decay curve automated stopping rule builds a Gaussian Process
Regressor to predict the final objective value of a Trial based on the
already completed Trials and the intermediate measurements of the current
Trial.
|
| StudySpec.MedianAutomatedStoppingSpec |
The median automated stopping rule stops a pending Trial if the Trial's
best objective_value is strictly below the median 'performance' of all
completed Trials reported up to the Trial's last measurement.
|
| StudySpec.MedianAutomatedStoppingSpec.Builder |
The median automated stopping rule stops a pending Trial if the Trial's
best objective_value is strictly below the median 'performance' of all
completed Trials reported up to the Trial's last measurement.
|
| StudySpec.MetricSpec |
Represents a metric to optimize.
|
| StudySpec.MetricSpec.Builder |
Represents a metric to optimize.
|
| StudySpec.ParameterSpec |
Represents a single parameter to optimize.
|
| StudySpec.ParameterSpec.Builder |
Represents a single parameter to optimize.
|
| StudySpec.ParameterSpec.CategoricalValueSpec |
Value specification for a parameter in `CATEGORICAL` type.
|
| StudySpec.ParameterSpec.CategoricalValueSpec.Builder |
Value specification for a parameter in `CATEGORICAL` type.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec |
Represents a parameter spec with condition from its parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.Builder |
Represents a parameter spec with condition from its parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition |
Represents the spec to match categorical values from parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.Builder |
Represents the spec to match categorical values from parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition |
Represents the spec to match discrete values from parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.Builder |
Represents the spec to match discrete values from parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition |
Represents the spec to match integer values from parent parameter.
|
| StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.Builder |
Represents the spec to match integer values from parent parameter.
|
| StudySpec.ParameterSpec.DiscreteValueSpec |
Value specification for a parameter in `DISCRETE` type.
|
| StudySpec.ParameterSpec.DiscreteValueSpec.Builder |
Value specification for a parameter in `DISCRETE` type.
|
| StudySpec.ParameterSpec.DoubleValueSpec |
Value specification for a parameter in `DOUBLE` type.
|
| StudySpec.ParameterSpec.DoubleValueSpec.Builder |
Value specification for a parameter in `DOUBLE` type.
|
| StudySpec.ParameterSpec.IntegerValueSpec |
Value specification for a parameter in `INTEGER` type.
|
| StudySpec.ParameterSpec.IntegerValueSpec.Builder |
Value specification for a parameter in `INTEGER` type.
|
| ThresholdConfig |
The config for feature monitoring threshold.
|
| ThresholdConfig.Builder |
The config for feature monitoring threshold.
|
| TimestampSplit |
Assigns input data to training, validation, and test sets based on a
provided timestamps.
|
| TimestampSplit.Builder |
Assigns input data to training, validation, and test sets based on a
provided timestamps.
|
| TrainingConfig |
CMLE training config.
|
| TrainingConfig.Builder |
CMLE training config.
|
| TrainingPipeline |
The TrainingPipeline orchestrates tasks associated with training a Model.
|
| TrainingPipeline.Builder |
The TrainingPipeline orchestrates tasks associated with training a Model.
|
| TrainingPipelineName | |
| TrainingPipelineName.Builder |
Builder for projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}.
|
| TrainingPipelineProto | |
| Trial |
A message representing a Trial.
|
| Trial.Builder |
A message representing a Trial.
|
| Trial.Parameter |
A message representing a parameter to be tuned.
|
| Trial.Parameter.Builder |
A message representing a parameter to be tuned.
|
| UndeployIndexOperationMetadata |
Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployIndexOperationMetadata.Builder |
Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployIndexRequest |
Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployIndexRequest.Builder |
Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployIndexResponse |
Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployIndexResponse.Builder |
Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex].
|
| UndeployModelOperationMetadata |
Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelOperationMetadata.Builder |
Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelRequest |
Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelRequest.Builder |
Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelResponse |
Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelResponse.Builder |
Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UpdateDatasetRequest |
Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
|
| UpdateDatasetRequest.Builder |
Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
|
| UpdateEndpointRequest |
Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
|
| UpdateEndpointRequest.Builder |
Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
|
| UpdateIndexEndpointRequest |
Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
|
| UpdateIndexEndpointRequest.Builder |
Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint].
|
| UpdateIndexOperationMetadata |
Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
|
| UpdateIndexOperationMetadata.Builder |
Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
|
| UpdateIndexRequest |
Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
|
| UpdateIndexRequest.Builder |
Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
|
| UpdateModelDeploymentMonitoringJobOperationMetadata |
Runtime operation information for
[JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
|
| UpdateModelDeploymentMonitoringJobOperationMetadata.Builder |
Runtime operation information for
[JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
|
| UpdateModelDeploymentMonitoringJobRequest |
Request message for
[JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
|
| UpdateModelDeploymentMonitoringJobRequest.Builder |
Request message for
[JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
|
| UpdateModelRequest |
Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
|
| UpdateModelRequest.Builder |
Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
|
| UpdateSpecialistPoolOperationMetadata |
Runtime operation metadata for
[SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
|
| UpdateSpecialistPoolOperationMetadata.Builder |
Runtime operation metadata for
[SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
|
| UpdateSpecialistPoolRequest |
Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
|
| UpdateSpecialistPoolRequest.Builder |
Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1.SpecialistPoolService.UpdateSpecialistPool].
|
| UploadModelOperationMetadata |
Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
|
| UploadModelOperationMetadata.Builder |
Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
|
| UploadModelRequest |
Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
|
| UploadModelRequest.Builder |
Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
|
| UploadModelResponse |
Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
|
| UploadModelResponse.Builder |
Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
|
| UserActionReference |
References an API call.
|
| UserActionReference.Builder |
References an API call.
|
| UserActionReferenceProto | |
| Value |
Value is the value of the field.
|
| Value.Builder |
Value is the value of the field.
|
| ValueProto | |
| WorkerPoolSpec |
Represents the spec of a worker pool in a job.
|
| WorkerPoolSpec.Builder |
Represents the spec of a worker pool in a job.
|
| XraiAttribution |
An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's fully
differentiable structure.
|
| XraiAttribution.Builder |
An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's fully
differentiable structure.
|
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