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()
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
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)
Parameters
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
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
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
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
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
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
getAnnotationSpec(GetAnnotationSpecRequest request, StreamObserver<AnnotationSpec> responseObserver)
public void getAnnotationSpec(GetAnnotationSpecRequest request, StreamObserver<AnnotationSpec> responseObserver)
Parameters
getDataset(GetDatasetRequest request, StreamObserver<Dataset> responseObserver)
public void getDataset(GetDatasetRequest request, StreamObserver<Dataset> responseObserver)
Parameters
getModel(GetModelRequest request, StreamObserver<Model> responseObserver)
public void getModel(GetModelRequest request, StreamObserver<Model> responseObserver)
Parameters
getModelEvaluation(GetModelEvaluationRequest request, StreamObserver<ModelEvaluation> responseObserver)
public void getModelEvaluation(GetModelEvaluationRequest request, StreamObserver<ModelEvaluation> responseObserver)
Parameters
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
listDatasets(ListDatasetsRequest request, StreamObserver<ListDatasetsResponse> responseObserver)
public void listDatasets(ListDatasetsRequest request, StreamObserver<ListDatasetsResponse> responseObserver)
Lists datasets in a project.
Parameters
listModelEvaluations(ListModelEvaluationsRequest request, StreamObserver<ListModelEvaluationsResponse> responseObserver)
public void listModelEvaluations(ListModelEvaluationsRequest request, StreamObserver<ListModelEvaluationsResponse> responseObserver)
Parameters
listModels(ListModelsRequest request, StreamObserver<ListModelsResponse> responseObserver)
public void listModels(ListModelsRequest request, StreamObserver<ListModelsResponse> responseObserver)
Parameters
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
updateDataset(UpdateDatasetRequest request, StreamObserver<Dataset> responseObserver)
public void updateDataset(UpdateDatasetRequest request, StreamObserver<Dataset> responseObserver)
Parameters
updateModel(UpdateModelRequest request, StreamObserver<Model> responseObserver)
public void updateModel(UpdateModelRequest request, StreamObserver<Model> responseObserver)
Parameters