Class AutoMlGrpc.AutoMlFutureStub (2.15.0)

Version 2.15.0

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public static final class AutoMlGrpc.AutoMlFutureStub extends AbstractFutureStub<AutoMlGrpc.AutoMlFutureStub>

A stub to allow clients to do ListenableFuture-style 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.

Inheritance

java.lang.Object > io.grpc.stub.AbstractStub > io.grpc.stub.AbstractFutureStub > AutoMlGrpc.AutoMlFutureStub

Inherited Members

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

io.grpc.stub.AbstractFutureStub.<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.AutoMlFutureStub build(Channel channel, CallOptions callOptions)

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

Returns
Type	Description
AutoMlGrpc.AutoMlFutureStub

Overrides

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

createDataset(CreateDatasetRequest request)

public ListenableFuture<Operation> createDataset(CreateDatasetRequest request)

Creates a dataset.

Parameter
Name	Description
request	CreateDatasetRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Operation>

createModel(CreateModelRequest request)

public ListenableFuture<Operation> createModel(CreateModelRequest request)

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.

Parameter
Name	Description
request	CreateModelRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Operation>

deleteDataset(DeleteDatasetRequest request)

public ListenableFuture<Operation> deleteDataset(DeleteDatasetRequest request)

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.

Parameter
Name	Description
request	DeleteDatasetRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Operation>

deleteModel(DeleteModelRequest request)

public ListenableFuture<Operation> deleteModel(DeleteModelRequest request)

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

Parameter
Name	Description
request	DeleteModelRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Operation>

deployModel(DeployModelRequest request)

public ListenableFuture<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) 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.

Parameter
Name	Description
request	DeployModelRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Operation>

exportData(ExportDataRequest request)

public ListenableFuture<Operation> exportData(ExportDataRequest request)

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

Parameter
Name	Description
request	ExportDataRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Operation>

exportModel(ExportModelRequest request)

public ListenableFuture<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. Returns an empty response in the response field when it completes.

Parameter
Name	Description
request	ExportModelRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Operation>

getAnnotationSpec(GetAnnotationSpecRequest request)

public ListenableFuture<AnnotationSpec> getAnnotationSpec(GetAnnotationSpecRequest request)

Gets an annotation spec.

Parameter
Name	Description
request	GetAnnotationSpecRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<AnnotationSpec>

getDataset(GetDatasetRequest request)

public ListenableFuture<Dataset> getDataset(GetDatasetRequest request)

Gets a dataset.

Parameter
Name	Description
request	GetDatasetRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Dataset>

getModel(GetModelRequest request)

public ListenableFuture<Model> getModel(GetModelRequest request)

Gets a model.

Parameter
Name	Description
request	GetModelRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Model>

getModelEvaluation(GetModelEvaluationRequest request)

public ListenableFuture<ModelEvaluation> getModelEvaluation(GetModelEvaluationRequest request)

Gets a model evaluation.

Parameter
Name	Description
request	GetModelEvaluationRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<ModelEvaluation>

importData(ImportDataRequest request)

public ListenableFuture<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 parameter must be explicitly set. Returns an empty response in the response field when it completes.

Parameter
Name	Description
request	ImportDataRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Operation>

listDatasets(ListDatasetsRequest request)

public ListenableFuture<ListDatasetsResponse> listDatasets(ListDatasetsRequest request)

Lists datasets in a project.

Parameter
Name	Description
request	ListDatasetsRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<ListDatasetsResponse>

listModelEvaluations(ListModelEvaluationsRequest request)

public ListenableFuture<ListModelEvaluationsResponse> listModelEvaluations(ListModelEvaluationsRequest request)

Lists model evaluations.

Parameter
Name	Description
request	ListModelEvaluationsRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<ListModelEvaluationsResponse>

listModels(ListModelsRequest request)

public ListenableFuture<ListModelsResponse> listModels(ListModelsRequest request)

Lists models.

Parameter
Name	Description
request	ListModelsRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<ListModelsResponse>

undeployModel(UndeployModelRequest request)

public ListenableFuture<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 field when it completes.

Parameter
Name	Description
request	UndeployModelRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Operation>

updateDataset(UpdateDatasetRequest request)

public ListenableFuture<Dataset> updateDataset(UpdateDatasetRequest request)

Updates a dataset.

Parameter
Name	Description
request	UpdateDatasetRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Dataset>

updateModel(UpdateModelRequest request)

public ListenableFuture<Model> updateModel(UpdateModelRequest request)

Updates a model.

Parameter
Name	Description
request	UpdateModelRequest

Returns
Type	Description
com.google.common.util.concurrent.ListenableFuture<Model>