Class ModelServiceGrpc.ModelServiceImplBase (2.13.0)

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 you to do the following:

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 and periodic_tuning_state. If other values are provided, this API method ignores them.

Parameters

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