Send feedback
Class AutoMlGrpc.AutoMlFutureStub (2.87.0)
Stay organized with collections
Save and categorize content based on your preferences.
2.87.0 (latest)
2.85.0
2.83.0
2.82.0
2.81.0
2.80.0
2.78.0
2.76.0
2.75.0
2.74.0
2.73.0
2.72.0
2.70.0
2.68.0
2.67.0
2.64.0
2.63.0
2.62.0
2.60.0
2.59.0
2.58.0
2.57.0
2.56.0
2.55.0
2.54.0
2.53.0
2.52.0
2.51.0
2.49.0
2.48.0
2.47.0
2.46.0
2.45.0
2.44.0
2.43.0
2.42.0
2.41.0
2.40.0
2.39.0
2.37.0
2.36.0
2.35.0
2.34.0
2.33.0
2.32.0
2.31.0
2.30.0
2.29.0
2.28.0
2.27.0
2.24.0
2.23.0
2.22.0
2.21.0
2.20.0
2.19.0
2.18.0
2.17.0
2.16.0
2.15.0
2.14.0
2.13.0
2.12.0
2.11.0
2.10.0
2.9.0
2.8.0
2.7.0
2.6.0
2.5.0
2.4.0
2.3.18
2.2.3
2.1.23
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(java.time.Duration)
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.withOnReadyThreshold(int)
io.grpc.stub.AbstractStub.withWaitForReady()
Methods
build(Channel channel, CallOptions callOptions)
protected AutoMlGrpc . AutoMlFutureStub build ( Channel channel , CallOptions callOptions )
Parameters
Name Description
channelio.grpc.Channel
callOptionsio.grpc.CallOptions
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
createDataset(CreateDatasetRequest request)
public ListenableFuture<Operation> createDataset ( CreateDatasetRequest request )
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.
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.
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.
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.
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.
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.
Returns
Type Description
com.google.common.util.concurrent.ListenableFuture <Operation >
getAnnotationSpec(GetAnnotationSpecRequest request)
public ListenableFuture<AnnotationSpec> getAnnotationSpec ( GetAnnotationSpecRequest request )
Returns
Type Description
com.google.common.util.concurrent.ListenableFuture <AnnotationSpec >
getDataset(GetDatasetRequest request)
public ListenableFuture<Dataset> getDataset ( GetDatasetRequest request )
Returns
Type Description
com.google.common.util.concurrent.ListenableFuture <Dataset >
getModel(GetModelRequest request)
public ListenableFuture<Model> getModel ( GetModelRequest request )
Returns
Type Description
com.google.common.util.concurrent.ListenableFuture <Model >
getModelEvaluation(GetModelEvaluationRequest request)
public ListenableFuture<ModelEvaluation> getModelEvaluation ( GetModelEvaluationRequest request )
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.
Returns
Type Description
com.google.common.util.concurrent.ListenableFuture <Operation >
listDatasets(ListDatasetsRequest request)
public ListenableFuture<ListDatasetsResponse> listDatasets ( ListDatasetsRequest request )
Lists datasets in a project.
listModelEvaluations(ListModelEvaluationsRequest request)
public ListenableFuture<ListModelEvaluationsResponse> listModelEvaluations ( ListModelEvaluationsRequest request )
listModels(ListModelsRequest request)
public ListenableFuture<ListModelsResponse> listModels ( ListModelsRequest request )
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.
Returns
Type Description
com.google.common.util.concurrent.ListenableFuture <Operation >
updateDataset(UpdateDatasetRequest request)
public ListenableFuture<Dataset> updateDataset ( UpdateDatasetRequest request )
Returns
Type Description
com.google.common.util.concurrent.ListenableFuture <Dataset >
updateModel(UpdateModelRequest request)
public ListenableFuture<Model> updateModel ( UpdateModelRequest request )
Returns
Type Description
com.google.common.util.concurrent.ListenableFuture <Model >
Send feedback
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2026-03-14 UTC.
Need to tell us more?
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-03-14 UTC."],[],[]]
