public static final class AutoMlGrpc.AutoMlBlockingStub extends AbstractBlockingStub<AutoMlGrpc.AutoMlBlockingStub>
A stub to allow clients to do synchronous 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.AbstractBlockingStub >
AutoMlGrpc.AutoMlBlockingStub
Inherited Members
io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)
io.grpc.stub.AbstractBlockingStub.<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.AutoMlBlockingStub build(Channel channel, CallOptions callOptions)
| Parameters |
|---|
| Name | Description |
channel | io.grpc.Channel
|
callOptions | io.grpc.CallOptions
|
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
createDataset(CreateDatasetRequest request)
public Operation createDataset(CreateDatasetRequest request)
createModel(CreateModelRequest request)
public 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.
deleteDataset(DeleteDatasetRequest request)
public 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.
deleteModel(DeleteModelRequest request)
public 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.
deployModel(DeployModelRequest request)
public 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.
exportData(ExportDataRequest request)
public Operation exportData(ExportDataRequest request)
Exports dataset's data to the provided output location.
Returns an empty response in the
response field when it completes.
exportModel(ExportModelRequest request)
public 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.
getAnnotationSpec(GetAnnotationSpecRequest request)
public AnnotationSpec getAnnotationSpec(GetAnnotationSpecRequest request)
getDataset(GetDatasetRequest request)
public Dataset getDataset(GetDatasetRequest request)
getModel(GetModelRequest request)
public Model getModel(GetModelRequest request)
| Returns |
|---|
| Type | Description |
Model | |
getModelEvaluation(GetModelEvaluationRequest request)
public ModelEvaluation getModelEvaluation(GetModelEvaluationRequest request)
importData(ImportDataRequest request)
public 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.
listDatasets(ListDatasetsRequest request)
public ListDatasetsResponse listDatasets(ListDatasetsRequest request)
Lists datasets in a project.
listModelEvaluations(ListModelEvaluationsRequest request)
public ListModelEvaluationsResponse listModelEvaluations(ListModelEvaluationsRequest request)
listModels(ListModelsRequest request)
public ListModelsResponse listModels(ListModelsRequest request)
undeployModel(UndeployModelRequest request)
public 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.
updateDataset(UpdateDatasetRequest request)
public Dataset updateDataset(UpdateDatasetRequest request)
updateModel(UpdateModelRequest request)
public Model updateModel(UpdateModelRequest request)
| Returns |
|---|
| Type | Description |
Model | |
