Class ModelServiceGrpc.ModelServiceFutureStub (2.13.0) 
  
  
  
   
  
    
  
  
    
    
    
    
  Version 2.13.0keyboard_arrow_down  
  
 
    
    
    
      
  
  
  
    
public   static   final   class  ModelServiceGrpc . ModelServiceFutureStub   extends   AbstractFutureStub<ModelServiceGrpc . ModelServiceFutureStub > 
   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.AbstractFutureStub  >  
    ModelServiceGrpc.ModelServiceFutureStub 
   
  
    Inherited Members 
    
      io.grpc.stub.AbstractFutureStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel) 
    
    
      io.grpc.stub.AbstractFutureStub.<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   ModelServiceGrpc . ModelServiceFutureStub   build ( Channel   channel ,   CallOptions   callOptions )  
  Parameters 
  
    
      
        Name Description  
      
        channelio.grpc.Channel  
      
        callOptionsio.grpc.CallOptions  
     
  
  Returns 
  
  Overrides 
  io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions) 
  createModel(CreateModelRequest request) 
  
    
public   ListenableFuture<Operation>   createModel ( CreateModelRequest   request )  
  
  Parameter 
  
  Returns 
  
    
      
        Type Description  
      
        com.google.common.util.concurrent.ListenableFuture <Operation > 
     
  
  deleteModel(DeleteModelRequest request) 
  
    
public   ListenableFuture<Empty>   deleteModel ( DeleteModelRequest   request )  
   Deletes an existing model.
Parameter 
  
  Returns 
  
    
      
        Type Description  
      
        com.google.common.util.concurrent.ListenableFuture <Empty > 
     
  
  listModels(ListModelsRequest request) 
  
    
public   ListenableFuture<ListModelsResponse>   listModels ( ListModelsRequest   request )  
   Lists all the models linked to this event store.
Parameter 
  
  Returns 
  
  pauseModel(PauseModelRequest request) 
  
    
public   ListenableFuture<Model>   pauseModel ( PauseModelRequest   request )  
   Pauses the training of an existing model.
Parameter 
  
  Returns 
  
    
      
        Type Description  
      
        com.google.common.util.concurrent.ListenableFuture <Model > 
     
  
  resumeModel(ResumeModelRequest request) 
  
    
public   ListenableFuture<Model>   resumeModel ( ResumeModelRequest   request )  
   Resumes the training of an existing model.
Parameter 
  
  Returns 
  
    
      
        Type Description  
      
        com.google.common.util.concurrent.ListenableFuture <Model > 
     
  
  tuneModel(TuneModelRequest request) 
  
    
public   ListenableFuture<Operation>   tuneModel ( TuneModelRequest   request )  
  
  Parameter 
  
  Returns 
  
    
      
        Type Description  
      
        com.google.common.util.concurrent.ListenableFuture <Operation > 
     
  
  updateModel(UpdateModelRequest request) 
  
    
public   ListenableFuture<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 
  
  Returns 
  
    
      
        Type Description  
      
        com.google.common.util.concurrent.ListenableFuture <Model > 
     
  
 
     
    
  
  
  
     
  
    
    
      
       
    
    
  
  
 
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  Last updated 2025-10-29 UTC.
 
 
  
  
  
    
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