Package com.google.cloud.automl.v1

Interface AutoMlGrpc.AsyncService

  • All Known Implementing Classes:
    AutoMlGrpc.AutoMlImplBase
    Enclosing class:
    AutoMlGrpc
    public static interface AutoMlGrpc.AsyncService
     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 Detail

      • createDataset

        default void createDataset​(CreateDatasetRequest request,
                           io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         Creates a dataset.

      • getDataset

        default void getDataset​(GetDatasetRequest request,
                        io.grpc.stub.StreamObserver<Dataset> responseObserver)
         Gets a dataset.

      • updateDataset

        default void updateDataset​(UpdateDatasetRequest request,
                           io.grpc.stub.StreamObserver<Dataset> responseObserver)
         Updates a dataset.

      • deleteDataset

        default void deleteDataset​(DeleteDatasetRequest request,
                           io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         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

        default void importData​(ImportDataRequest request,
                        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         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

        default void exportData​(ExportDataRequest request,
                        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         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

        default void createModel​(CreateModelRequest request,
                         io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         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

        default void getModel​(GetModelRequest request,
                      io.grpc.stub.StreamObserver<Model> responseObserver)
         Gets a model.

      • deleteModel

        default void deleteModel​(DeleteModelRequest request,
                         io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         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

        default void updateModel​(UpdateModelRequest request,
                         io.grpc.stub.StreamObserver<Model> responseObserver)
         Updates a model.

      • deployModel

        default void deployModel​(DeployModelRequest request,
                         io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         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

        default void undeployModel​(UndeployModelRequest request,
                           io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         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

        default void exportModel​(ExportModelRequest request,
                         io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver)
         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.