Class AutoMlGrpc.AutoMlStub (2.3.5)

public static final class AutoMlGrpc.AutoMlStub extends AbstractAsyncStub<AutoMlGrpc.AutoMlStub>

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.

Inheritance

java.lang.Object > io.grpc.stub.AbstractStub > io.grpc.stub.AbstractAsyncStub > AutoMlGrpc.AutoMlStub

Inherited Members

io.grpc.stub.AbstractAsyncStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)

io.grpc.stub.AbstractAsyncStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel,io.grpc.CallOptions)

io.grpc.stub.AbstractStub.<T>withOption(io.grpc.CallOptions.Key<T>,T)

io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)

io.grpc.stub.AbstractStub.getCallOptions()

io.grpc.stub.AbstractStub.getChannel()

io.grpc.stub.AbstractStub.withCallCredentials(io.grpc.CallCredentials)

io.grpc.stub.AbstractStub.withChannel(io.grpc.Channel)

io.grpc.stub.AbstractStub.withCompression(java.lang.String)

io.grpc.stub.AbstractStub.withDeadline(io.grpc.Deadline)

io.grpc.stub.AbstractStub.withDeadlineAfter(long,java.util.concurrent.TimeUnit)

io.grpc.stub.AbstractStub.withExecutor(java.util.concurrent.Executor)

io.grpc.stub.AbstractStub.withInterceptors(io.grpc.ClientInterceptor...)

io.grpc.stub.AbstractStub.withMaxInboundMessageSize(int)

io.grpc.stub.AbstractStub.withMaxOutboundMessageSize(int)

io.grpc.stub.AbstractStub.withWaitForReady()

Object.clone()

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.toString()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Methods

build(Channel channel, CallOptions callOptions)

protected AutoMlGrpc.AutoMlStub build(Channel channel, CallOptions callOptions)

Parameters

Name	Description
channel	`io.grpc.Channel`
callOptions	`io.grpc.CallOptions`

Returns

Type	Description
AutoMlGrpc.AutoMlStub

Overrides

io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)

createDataset(CreateDatasetRequest request, StreamObserver<Operation> responseObserver)

public void createDataset(CreateDatasetRequest request, StreamObserver<Operation> responseObserver)

Creates a dataset.

Parameters

Name	Description
request	`CreateDatasetRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

createModel(CreateModelRequest request, StreamObserver<Operation> responseObserver)

public void createModel(CreateModelRequest request, StreamObserver<Operation> responseObserver)

Creates a model. Returns a Model in the 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.

Parameters

Name	Description
request	`CreateModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

deleteDataset(DeleteDatasetRequest request, StreamObserver<Operation> responseObserver)

public void deleteDataset(DeleteDatasetRequest request, StreamObserver<Operation> responseObserver)

Deletes a dataset and all of its contents. Returns empty response in the response field when it completes, and delete_details in the metadata field.

Parameters

Name	Description
request	`DeleteDatasetRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

deleteModel(DeleteModelRequest request, StreamObserver<Operation> responseObserver)

public void deleteModel(DeleteModelRequest request, StreamObserver<Operation> responseObserver)

Deletes a model. Returns google.protobuf.Empty in the response field when it completes, and delete_details in the metadata field.

Parameters

Name	Description
request	`DeleteModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

deployModel(DeployModelRequest request, StreamObserver<Operation> responseObserver)

public void deployModel(DeployModelRequest request, StreamObserver<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) 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 field when it completes.

Parameters

Name	Description
request	`DeployModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

exportData(ExportDataRequest request, StreamObserver<Operation> responseObserver)

public void exportData(ExportDataRequest request, StreamObserver<Operation> responseObserver)

Exports dataset's data to the provided output location. Returns an empty response in the response field when it completes.

Parameters

Name	Description
request	`ExportDataRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

exportModel(ExportModelRequest request, StreamObserver<Operation> responseObserver)

public void exportModel(ExportModelRequest request, StreamObserver<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. Returns an empty response in the response field when it completes.

Parameters

Name	Description
request	`ExportModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

getAnnotationSpec(GetAnnotationSpecRequest request, StreamObserver<AnnotationSpec> responseObserver)

public void getAnnotationSpec(GetAnnotationSpecRequest request, StreamObserver<AnnotationSpec> responseObserver)

Gets an annotation spec.

Parameters

Name	Description
request	`GetAnnotationSpecRequest`
responseObserver	`io.grpc.stub.StreamObserver<AnnotationSpec>`

getDataset(GetDatasetRequest request, StreamObserver<Dataset> responseObserver)

public void getDataset(GetDatasetRequest request, StreamObserver<Dataset> responseObserver)

Gets a dataset.

Parameters

Name	Description
request	`GetDatasetRequest`
responseObserver	`io.grpc.stub.StreamObserver<Dataset>`

getModel(GetModelRequest request, StreamObserver<Model> responseObserver)

public void getModel(GetModelRequest request, StreamObserver<Model> responseObserver)

Gets a model.

Parameters

Name	Description
request	`GetModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Model>`

getModelEvaluation(GetModelEvaluationRequest request, StreamObserver<ModelEvaluation> responseObserver)

public void getModelEvaluation(GetModelEvaluationRequest request, StreamObserver<ModelEvaluation> responseObserver)

Gets a model evaluation.

Parameters

Name	Description
request	`GetModelEvaluationRequest`
responseObserver	`io.grpc.stub.StreamObserver<ModelEvaluation>`

importData(ImportDataRequest request, StreamObserver<Operation> responseObserver)

public void importData(ImportDataRequest request, StreamObserver<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 parameter must be explicitly set. Returns an empty response in the response field when it completes.

Parameters

Name	Description
request	`ImportDataRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

listDatasets(ListDatasetsRequest request, StreamObserver<ListDatasetsResponse> responseObserver)

public void listDatasets(ListDatasetsRequest request, StreamObserver<ListDatasetsResponse> responseObserver)

Lists datasets in a project.

Parameters

Name	Description
request	`ListDatasetsRequest`
responseObserver	`io.grpc.stub.StreamObserver<ListDatasetsResponse>`

listModelEvaluations(ListModelEvaluationsRequest request, StreamObserver<ListModelEvaluationsResponse> responseObserver)

public void listModelEvaluations(ListModelEvaluationsRequest request, StreamObserver<ListModelEvaluationsResponse> responseObserver)

Lists model evaluations.

Parameters

Name	Description
request	`ListModelEvaluationsRequest`
responseObserver	`io.grpc.stub.StreamObserver<ListModelEvaluationsResponse>`

listModels(ListModelsRequest request, StreamObserver<ListModelsResponse> responseObserver)

public void listModels(ListModelsRequest request, StreamObserver<ListModelsResponse> responseObserver)

Lists models.

Parameters

Name	Description
request	`ListModelsRequest`
responseObserver	`io.grpc.stub.StreamObserver<ListModelsResponse>`

undeployModel(UndeployModelRequest request, StreamObserver<Operation> responseObserver)

public void undeployModel(UndeployModelRequest request, StreamObserver<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 field when it completes.

Parameters

Name	Description
request	`UndeployModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

updateDataset(UpdateDatasetRequest request, StreamObserver<Dataset> responseObserver)

public void updateDataset(UpdateDatasetRequest request, StreamObserver<Dataset> responseObserver)

Updates a dataset.

Parameters

Name	Description
request	`UpdateDatasetRequest`
responseObserver	`io.grpc.stub.StreamObserver<Dataset>`

updateModel(UpdateModelRequest request, StreamObserver<Model> responseObserver)

public void updateModel(UpdateModelRequest request, StreamObserver<Model> responseObserver)

Updates a model.

Parameters

Name	Description
request	`UpdateModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Model>`