Class ModelServiceGrpc.ModelServiceBlockingStub (2.16.0)

public static final class ModelServiceGrpc.ModelServiceBlockingStub extends AbstractBlockingStub<ModelServiceGrpc.ModelServiceBlockingStub>

A stub to allow clients to do synchronous rpc calls to service ModelService.

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 > io.grpc.stub.AbstractStub > io.grpc.stub.AbstractBlockingStub > ModelServiceGrpc.ModelServiceBlockingStub

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()

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)

Methods

build(Channel channel, CallOptions callOptions)

protected ModelServiceGrpc.ModelServiceBlockingStub build(Channel channel, CallOptions callOptions)

Parameters
Name	Description
`channel`	`io.grpc.Channel`
`callOptions`	`io.grpc.CallOptions`

Returns
Type	Description
`ModelServiceGrpc.ModelServiceBlockingStub`

Overrides

io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)

createModel(CreateModelRequest request)

public Operation createModel(CreateModelRequest request)

Creates a new model.

Parameter
Name	Description
`request`	`CreateModelRequest`

Returns
Type	Description
`Operation`

deleteModel(DeleteModelRequest request)

public Empty deleteModel(DeleteModelRequest request)

Deletes an existing model.

Parameter
Name	Description
`request`	`DeleteModelRequest`

Returns
Type	Description
`Empty`

listModels(ListModelsRequest request)

public ListModelsResponse listModels(ListModelsRequest request)

Lists all the models linked to this event store.

Parameter
Name	Description
`request`	`ListModelsRequest`

Returns
Type	Description
`ListModelsResponse`

pauseModel(PauseModelRequest request)

public Model pauseModel(PauseModelRequest request)

Pauses the training of an existing model.

Parameter
Name	Description
`request`	`PauseModelRequest`

Returns
Type	Description
`Model`

resumeModel(ResumeModelRequest request)

public Model resumeModel(ResumeModelRequest request)

Resumes the training of an existing model.

Parameter
Name	Description
`request`	`ResumeModelRequest`

Returns
Type	Description
`Model`

tuneModel(TuneModelRequest request)

public Operation tuneModel(TuneModelRequest request)

Tunes an existing model.

Parameter
Name	Description
`request`	`TuneModelRequest`

Returns
Type	Description
`Operation`

updateModel(UpdateModelRequest request)

public Model updateModel(UpdateModelRequest request)

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.

Parameter
Name	Description
`request`	`UpdateModelRequest`

Returns
Type	Description
`Model`