Class ModelServiceGrpc.ModelServiceImplBase (2.4.0)

public abstract static class ModelServiceGrpc.ModelServiceImplBase implements BindableService

Service for performing CRUD operations on models. Recommendation models contain all the metadata necessary to generate a set of models for the Predict() api. A model is queried indirectly via a ServingConfig, which associates a model with a given Placement (e.g. Frequently Bought Together on Home Page). This service allows customers to e.g.:

Initiate training of a model.
Pause training of an existing model.
List all the available models along with their metadata.
Control their tuning schedule.

Inheritance

java.lang.Object > ModelServiceGrpc.ModelServiceImplBase

Implements

io.grpc.BindableService

Inherited Members

Object.clone()

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.toString()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Constructors

ModelServiceImplBase()

public ModelServiceImplBase()

Methods

bindService()

public final ServerServiceDefinition bindService()

Returns

Type	Description
io.grpc.ServerServiceDefinition

createModel(CreateModelRequest request, StreamObserver<Operation> responseObserver)

public void createModel(CreateModelRequest request, StreamObserver<Operation> responseObserver)

Creates a new model.

Parameters

Name	Description
request	`CreateModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

deleteModel(DeleteModelRequest request, StreamObserver<Empty> responseObserver)

public void deleteModel(DeleteModelRequest request, StreamObserver<Empty> responseObserver)

Deletes an existing model.

Parameters

Name	Description
request	`DeleteModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Empty>`

listModels(ListModelsRequest request, StreamObserver<ListModelsResponse> responseObserver)

public void listModels(ListModelsRequest request, StreamObserver<ListModelsResponse> responseObserver)

Lists all the models linked to this event store.

Parameters

Name	Description
request	`ListModelsRequest`
responseObserver	`io.grpc.stub.StreamObserver<ListModelsResponse>`

pauseModel(PauseModelRequest request, StreamObserver<Model> responseObserver)

public void pauseModel(PauseModelRequest request, StreamObserver<Model> responseObserver)

Pauses the training of an existing model.

Parameters

Name	Description
request	`PauseModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Model>`

resumeModel(ResumeModelRequest request, StreamObserver<Model> responseObserver)

public void resumeModel(ResumeModelRequest request, StreamObserver<Model> responseObserver)

Resumes the training of an existing model.

Parameters

Name	Description
request	`ResumeModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Model>`

tuneModel(TuneModelRequest request, StreamObserver<Operation> responseObserver)

public void tuneModel(TuneModelRequest request, StreamObserver<Operation> responseObserver)

Tunes an existing model.

Parameters

Name	Description
request	`TuneModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Operation>`

updateModel(UpdateModelRequest request, StreamObserver<Model> responseObserver)

public void updateModel(UpdateModelRequest request, StreamObserver<Model> responseObserver)

Update of model metadata. Only fields that currently can be updated are: filtering_option, periodic_tuning_state. If other values are provided, this API method will ignore them.

Parameters

Name	Description
request	`UpdateModelRequest`
responseObserver	`io.grpc.stub.StreamObserver<Model>`