Class 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 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 kebab-case, either of those cases is accepted.
     
    • Method Detail

      • deleteDataset

        public com.google.longrunning.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 com.google.longrunning.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.v1beta1.InputConfig.params]
             parameter must be explicitly set.
         Returns an empty response in the
         [response][google.longrunning.Operation.response] field when it completes.
         
      • exportData

        public com.google.longrunning.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.
         
      • createModel

        public com.google.longrunning.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.
         
      • deleteModel

        public com.google.longrunning.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.
         
      • deployModel

        public com.google.longrunning.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.v1beta1.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 com.google.longrunning.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 com.google.longrunning.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.v1beta1.ModelExportOutputConfig].
         Returns an empty response in the
         [response][google.longrunning.Operation.response] field when it completes.
         
      • exportEvaluatedExamples

        public com.google.longrunning.Operation exportEvaluatedExamples​(ExportEvaluatedExamplesRequest request)
         Exports examples on which the model was evaluated (i.e. which were in the
         TEST set of the dataset the model was created from), together with their
         ground truth annotations and the annotations created (predicted) by the
         model.
         The examples, ground truth and predictions are exported in the state
         they were at the moment the model was evaluated.
         This export is available only for 30 days since the model evaluation is
         created.
         Currently only available for Tables.
         Returns an empty response in the
         [response][google.longrunning.Operation.response] field when it completes.