Class AutoMlGrpc.AutoMlBlockingStub (2.39.0)

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 kebab-case, either of those cases is accepted.

Inheritance

java.lang.Object > io.grpc.stub.AbstractStub > io.grpc.stub.AbstractBlockingStub > AutoMlGrpc.AutoMlBlockingStub

Methods

build(Channel channel, CallOptions callOptions)

protected AutoMlGrpc.AutoMlBlockingStub build(Channel channel, CallOptions callOptions)
Parameters
NameDescription
channelio.grpc.Channel
callOptionsio.grpc.CallOptions
Returns
TypeDescription
AutoMlGrpc.AutoMlBlockingStub
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)

createDataset(CreateDatasetRequest request)

public Dataset createDataset(CreateDatasetRequest request)

Creates a dataset.

Parameter
NameDescription
requestCreateDatasetRequest
Returns
TypeDescription
Dataset

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.

Parameter
NameDescription
requestCreateModelRequest
Returns
TypeDescription
Operation

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.

Parameter
NameDescription
requestDeleteDatasetRequest
Returns
TypeDescription
Operation

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.

Parameter
NameDescription
requestDeleteModelRequest
Returns
TypeDescription
Operation

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.

Parameter
NameDescription
requestDeployModelRequest
Returns
TypeDescription
Operation

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.

Parameter
NameDescription
requestExportDataRequest
Returns
TypeDescription
Operation

exportEvaluatedExamples(ExportEvaluatedExamplesRequest request)

public Operation exportEvaluatedExamples(ExportEvaluatedExamplesRequest request)

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.

Parameter
NameDescription
requestExportEvaluatedExamplesRequest
Returns
TypeDescription
Operation

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.

Parameter
NameDescription
requestExportModelRequest
Returns
TypeDescription
Operation

getAnnotationSpec(GetAnnotationSpecRequest request)

public AnnotationSpec getAnnotationSpec(GetAnnotationSpecRequest request)

Gets an annotation spec.

Parameter
NameDescription
requestGetAnnotationSpecRequest
Returns
TypeDescription
AnnotationSpec

getColumnSpec(GetColumnSpecRequest request)

public ColumnSpec getColumnSpec(GetColumnSpecRequest request)

Gets a column spec.

Parameter
NameDescription
requestGetColumnSpecRequest
Returns
TypeDescription
ColumnSpec

getDataset(GetDatasetRequest request)

public Dataset getDataset(GetDatasetRequest request)

Gets a dataset.

Parameter
NameDescription
requestGetDatasetRequest
Returns
TypeDescription
Dataset

getModel(GetModelRequest request)

public Model getModel(GetModelRequest request)

Gets a model.

Parameter
NameDescription
requestGetModelRequest
Returns
TypeDescription
Model

getModelEvaluation(GetModelEvaluationRequest request)

public ModelEvaluation getModelEvaluation(GetModelEvaluationRequest request)

Gets a model evaluation.

Parameter
NameDescription
requestGetModelEvaluationRequest
Returns
TypeDescription
ModelEvaluation

getTableSpec(GetTableSpecRequest request)

public TableSpec getTableSpec(GetTableSpecRequest request)

Gets a table spec.

Parameter
NameDescription
requestGetTableSpecRequest
Returns
TypeDescription
TableSpec

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.
Parameter
NameDescription
requestImportDataRequest
Returns
TypeDescription
Operation

listColumnSpecs(ListColumnSpecsRequest request)

public ListColumnSpecsResponse listColumnSpecs(ListColumnSpecsRequest request)

Lists column specs in a table spec.

Parameter
NameDescription
requestListColumnSpecsRequest
Returns
TypeDescription
ListColumnSpecsResponse

listDatasets(ListDatasetsRequest request)

public ListDatasetsResponse listDatasets(ListDatasetsRequest request)

Lists datasets in a project.

Parameter
NameDescription
requestListDatasetsRequest
Returns
TypeDescription
ListDatasetsResponse

listModelEvaluations(ListModelEvaluationsRequest request)

public ListModelEvaluationsResponse listModelEvaluations(ListModelEvaluationsRequest request)

Lists model evaluations.

Parameter
NameDescription
requestListModelEvaluationsRequest
Returns
TypeDescription
ListModelEvaluationsResponse

listModels(ListModelsRequest request)

public ListModelsResponse listModels(ListModelsRequest request)

Lists models.

Parameter
NameDescription
requestListModelsRequest
Returns
TypeDescription
ListModelsResponse

listTableSpecs(ListTableSpecsRequest request)

public ListTableSpecsResponse listTableSpecs(ListTableSpecsRequest request)

Lists table specs in a dataset.

Parameter
NameDescription
requestListTableSpecsRequest
Returns
TypeDescription
ListTableSpecsResponse

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.

Parameter
NameDescription
requestUndeployModelRequest
Returns
TypeDescription
Operation

updateColumnSpec(UpdateColumnSpecRequest request)

public ColumnSpec updateColumnSpec(UpdateColumnSpecRequest request)

Updates a column spec.

Parameter
NameDescription
requestUpdateColumnSpecRequest
Returns
TypeDescription
ColumnSpec

updateDataset(UpdateDatasetRequest request)

public Dataset updateDataset(UpdateDatasetRequest request)

Updates a dataset.

Parameter
NameDescription
requestUpdateDatasetRequest
Returns
TypeDescription
Dataset

updateTableSpec(UpdateTableSpecRequest request)

public TableSpec updateTableSpec(UpdateTableSpecRequest request)

Updates a table spec.

Parameter
NameDescription
requestUpdateTableSpecRequest
Returns
TypeDescription
TableSpec