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

Packages that use GetMLModelRequest
com.amazonaws.services.machinelearning: Definition of the public APIs exposed by Amazon Machine Learning
com.amazonaws.services.machinelearning.model

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

Methods in com.amazonaws.services.machinelearning with parameters of type GetMLModelRequest
`GetMLModelResult` AmazonMachineLearningClient.`getMLModel(GetMLModelRequest getMLModelRequest)` Returns an `MLModel` that includes detailed metadata, data source information, and the current status of the `MLModel`.
`GetMLModelResult` AmazonMachineLearning.`getMLModel(GetMLModelRequest getMLModelRequest)` Returns an `MLModel` that includes detailed metadata, data source information, and the current status of the `MLModel`.
`GetMLModelResult` AbstractAmazonMachineLearning.`getMLModel(GetMLModelRequest request)`
`Future<GetMLModelResult>` AbstractAmazonMachineLearningAsync.`getMLModelAsync(GetMLModelRequest request)`
`Future<GetMLModelResult>` AmazonMachineLearningAsyncClient.`getMLModelAsync(GetMLModelRequest request)`
`Future<GetMLModelResult>` AmazonMachineLearningAsync.`getMLModelAsync(GetMLModelRequest getMLModelRequest)` Returns an `MLModel` that includes detailed metadata, data source information, and the current status of the `MLModel`.
`Future<GetMLModelResult>` AbstractAmazonMachineLearningAsync.`getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)`
`Future<GetMLModelResult>` AmazonMachineLearningAsyncClient.`getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)`
`Future<GetMLModelResult>` AmazonMachineLearningAsync.`getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)` Returns an `MLModel` that includes detailed metadata, data source information, and the current status of the `MLModel`.

Method parameters in com.amazonaws.services.machinelearning with type arguments of type GetMLModelRequest
`Future<GetMLModelResult>` AbstractAmazonMachineLearningAsync.`getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)`
`Future<GetMLModelResult>` AmazonMachineLearningAsyncClient.`getMLModelAsync(GetMLModelRequest request, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)`
`Future<GetMLModelResult>` AmazonMachineLearningAsync.`getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)` Returns an `MLModel` that includes detailed metadata, data source information, and the current status of the `MLModel`.

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

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