Class AutoMlGrpc.AutoMlStub (2.13.0)

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>`