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 kebab-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<Dataset> responseObserver)
public void createDataset(CreateDatasetRequest request, StreamObserver<Dataset> 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.
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.
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.
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.
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.
exportEvaluatedExamples(ExportEvaluatedExamplesRequest request, StreamObserver<Operation> responseObserver)
public void exportEvaluatedExamples(ExportEvaluatedExamplesRequest request, StreamObserver<Operation> responseObserver)
Exports examples on which the model was evaluated (i.e. which were in the
TEST set of the dataset the model was created from), together with their
ground truth annotations and the annotations created (predicted) by the
model.
The examples, ground truth and predictions are exported in the state
they were at the moment the model was evaluated.
This export is available only for 30 days since the model evaluation is
created.
Currently only available for Tables.
Returns an empty response in the
response field when it completes.
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.
getAnnotationSpec(GetAnnotationSpecRequest request, StreamObserver<AnnotationSpec> responseObserver)
public void getAnnotationSpec(GetAnnotationSpecRequest request, StreamObserver<AnnotationSpec> responseObserver)
Parameters
getColumnSpec(GetColumnSpecRequest request, StreamObserver<ColumnSpec> responseObserver)
public void getColumnSpec(GetColumnSpecRequest request, StreamObserver<ColumnSpec> 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
getTableSpec(GetTableSpecRequest request, StreamObserver<TableSpec> responseObserver)
public void getTableSpec(GetTableSpecRequest request, StreamObserver<TableSpec> 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.
listColumnSpecs(ListColumnSpecsRequest request, StreamObserver<ListColumnSpecsResponse> responseObserver)
public void listColumnSpecs(ListColumnSpecsRequest request, StreamObserver<ListColumnSpecsResponse> responseObserver)
Lists column specs in a table spec.
listDatasets(ListDatasetsRequest request, StreamObserver<ListDatasetsResponse> responseObserver)
public void listDatasets(ListDatasetsRequest request, StreamObserver<ListDatasetsResponse> responseObserver)
Lists datasets in a project.
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
listTableSpecs(ListTableSpecsRequest request, StreamObserver<ListTableSpecsResponse> responseObserver)
public void listTableSpecs(ListTableSpecsRequest request, StreamObserver<ListTableSpecsResponse> responseObserver)
Lists table specs in a dataset.
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.
updateColumnSpec(UpdateColumnSpecRequest request, StreamObserver<ColumnSpec> responseObserver)
public void updateColumnSpec(UpdateColumnSpecRequest request, StreamObserver<ColumnSpec> responseObserver)
Parameters
updateDataset(UpdateDatasetRequest request, StreamObserver<Dataset> responseObserver)
public void updateDataset(UpdateDatasetRequest request, StreamObserver<Dataset> responseObserver)
Parameters
updateTableSpec(UpdateTableSpecRequest request, StreamObserver<TableSpec> responseObserver)
public void updateTableSpec(UpdateTableSpecRequest request, StreamObserver<TableSpec> responseObserver)
Parameters
