Package com.google.cloud.automl.v1

Class AutoMlGrpc.AutoMlBlockingStub

java.lang.Object
io.grpc.stub.AbstractStub<S>
io.grpc.stub.AbstractBlockingStub<AutoMlGrpc.AutoMlBlockingStub>
com.google.cloud.automl.v1.AutoMlGrpc.AutoMlBlockingStub
Enclosing class:
AutoMlGrpc
public static final class AutoMlGrpc.AutoMlBlockingStub extends io.grpc.stub.AbstractBlockingStub<AutoMlGrpc.AutoMlBlockingStub>
A stub to allow clients to do limited synchronous rpc calls to service AutoMl. 
 AutoML Server API.
 The resource names are assigned by the server.
 The server never reuses names that it has created after the resources with
 those names are deleted.
 An ID of a resource is the last element of the item's resource name. For
 `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
 the id for the item is `{dataset_id}`.
 Currently the only supported `location_id` is "us-central1".
 On any input that is documented to expect a string parameter in
 snake_case or dash-case, either of those cases is accepted.

  • Method Details

    • build

      protected AutoMlGrpc.AutoMlBlockingStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions)
      Specified by:
      build in class io.grpc.stub.AbstractStub<AutoMlGrpc.AutoMlBlockingStub>

    • createDataset

      public Operation createDataset(CreateDatasetRequest request)
       Creates a dataset.

    • getDataset

      public Dataset getDataset(GetDatasetRequest request)
       Gets a dataset.

    • listDatasets

      public ListDatasetsResponse listDatasets(ListDatasetsRequest request)
       Lists datasets in a project.

    • updateDataset

      public Dataset updateDataset(UpdateDatasetRequest request)
       Updates a dataset.

    • deleteDataset

      public Operation deleteDataset(DeleteDatasetRequest request)
       Deletes a dataset and all of its contents.
 Returns empty response in the
 [response][google.longrunning.Operation.response] field when it completes,
 and `delete_details` in the
 [metadata][google.longrunning.Operation.metadata] field.

    • importData

      public Operation importData(ImportDataRequest request)
       Imports data into a dataset.
 For Tables this method can only be called on an empty Dataset.
 For Tables:
 *   A
 [schema_inference_version][google.cloud.automl.v1.InputConfig.params]
     parameter must be explicitly set.
 Returns an empty response in the
 [response][google.longrunning.Operation.response] field when it completes.

    • exportData

      public Operation exportData(ExportDataRequest request)
       Exports dataset's data to the provided output location.
 Returns an empty response in the
 [response][google.longrunning.Operation.response] field when it completes.

    • getAnnotationSpec

      public AnnotationSpec getAnnotationSpec(GetAnnotationSpecRequest request)
       Gets an annotation spec.

    • createModel

      public Operation createModel(CreateModelRequest request)
       Creates a model.
 Returns a Model in the [response][google.longrunning.Operation.response]
 field when it completes.
 When you create a model, several model evaluations are created for it:
 a global evaluation, and one evaluation for each annotation spec.

    • getModel

      public Model getModel(GetModelRequest request)
       Gets a model.

    • listModels

      public ListModelsResponse listModels(ListModelsRequest request)
       Lists models.

    • deleteModel

      public Operation deleteModel(DeleteModelRequest request)
       Deletes a model.
 Returns `google.protobuf.Empty` in the
 [response][google.longrunning.Operation.response] field when it completes,
 and `delete_details` in the
 [metadata][google.longrunning.Operation.metadata] field.

    • updateModel

      public Model updateModel(UpdateModelRequest request)
       Updates a model.

    • deployModel

      public Operation deployModel(DeployModelRequest request)
       Deploys a model. If a model is already deployed, deploying it with the
 same parameters has no effect. Deploying with different parametrs
 (as e.g. changing
 [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number])
  will reset the deployment state without pausing the model's availability.
 Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
 deployment automatically.
 Returns an empty response in the
 [response][google.longrunning.Operation.response] field when it completes.

    • undeployModel

      public Operation undeployModel(UndeployModelRequest request)
       Undeploys a model. If the model is not deployed this method has no effect.
 Only applicable for Text Classification, Image Object Detection and Tables;
 all other domains manage deployment automatically.
 Returns an empty response in the
 [response][google.longrunning.Operation.response] field when it completes.

    • exportModel

      public Operation exportModel(ExportModelRequest request)
       Exports a trained, "export-able", model to a user specified Google Cloud
 Storage location. A model is considered export-able if and only if it has
 an export format defined for it in
 [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
 Returns an empty response in the
 [response][google.longrunning.Operation.response] field when it completes.

    • getModelEvaluation

      public ModelEvaluation getModelEvaluation(GetModelEvaluationRequest request)
       Gets a model evaluation.

    • listModelEvaluations

      public ListModelEvaluationsResponse listModelEvaluations(ListModelEvaluationsRequest request)
       Lists model evaluations.