Uses of Class
com.amazonaws.services.machinelearning.model.GetMLModelRequest

Packages that use GetMLModelRequest

Package	Description
com.amazonaws.services.machinelearning
com.amazonaws.services.machinelearning.model

Uses of GetMLModelRequest in com.amazonaws.services.machinelearning

Methods in com.amazonaws.services.machinelearning with parameters of type GetMLModelRequest

Modifier and Type	Method	Description
GetMLModelResult	AbstractAmazonMachineLearning.getMLModel(GetMLModelRequest request)
GetMLModelResult	AmazonMachineLearning.getMLModel(GetMLModelRequest getMLModelRequest)	Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel.
GetMLModelResult	AmazonMachineLearningClient.getMLModel(GetMLModelRequest getMLModelRequest)	Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel.
Future<GetMLModelResult>	AbstractAmazonMachineLearningAsync.getMLModelAsync(GetMLModelRequest request)
Future<GetMLModelResult>	AbstractAmazonMachineLearningAsync.getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest, GetMLModelResult> asyncHandler)
Future<GetMLModelResult>	AmazonMachineLearningAsync.getMLModelAsync(GetMLModelRequest getMLModelRequest)	Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel.
Future<GetMLModelResult>	AmazonMachineLearningAsync.getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest, GetMLModelResult> asyncHandler)	Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel.
Future<GetMLModelResult>	AmazonMachineLearningAsyncClient.getMLModelAsync(GetMLModelRequest request)
Future<GetMLModelResult>	AmazonMachineLearningAsyncClient.getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest, GetMLModelResult> asyncHandler)

Method parameters in com.amazonaws.services.machinelearning with type arguments of type GetMLModelRequest

Modifier and Type	Method	Description
Future<GetMLModelResult>	AbstractAmazonMachineLearningAsync.getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest, GetMLModelResult> asyncHandler)
Future<GetMLModelResult>	AmazonMachineLearningAsync.getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest, GetMLModelResult> asyncHandler)	Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel.
Future<GetMLModelResult>	AmazonMachineLearningAsyncClient.getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest, GetMLModelResult> asyncHandler)

Uses of GetMLModelRequest in com.amazonaws.services.machinelearning.model

Methods in com.amazonaws.services.machinelearning.model that return GetMLModelRequest

Modifier and Type	Method	Description
GetMLModelRequest	GetMLModelRequest.clone()
GetMLModelRequest	GetMLModelRequest.withMLModelId(String mLModelId)	The ID assigned to the MLModel at creation.
GetMLModelRequest	GetMLModelRequest.withVerbose(Boolean verbose)	Specifies whether the GetMLModel operation should return Recipe.