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

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

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

Methods in com.amazonaws.services.machinelearning that return CreateMLModelResult
`CreateMLModelResult` AmazonMachineLearningClient.`createMLModel(CreateMLModelRequest createMLModelRequest)` Creates a new `MLModel` using the `DataSource` and the recipe as information sources.
`CreateMLModelResult` AmazonMachineLearning.`createMLModel(CreateMLModelRequest createMLModelRequest)` Creates a new `MLModel` using the `DataSource` and the recipe as information sources.
`CreateMLModelResult` AbstractAmazonMachineLearning.`createMLModel(CreateMLModelRequest request)`

Methods in com.amazonaws.services.machinelearning that return types with arguments of type CreateMLModelResult
`Future<CreateMLModelResult>` AbstractAmazonMachineLearningAsync.`createMLModelAsync(CreateMLModelRequest request)`
`Future<CreateMLModelResult>` AmazonMachineLearningAsyncClient.`createMLModelAsync(CreateMLModelRequest request)`
`Future<CreateMLModelResult>` AmazonMachineLearningAsync.`createMLModelAsync(CreateMLModelRequest createMLModelRequest)` Creates a new `MLModel` using the `DataSource` and the recipe as information sources.
`Future<CreateMLModelResult>` AbstractAmazonMachineLearningAsync.`createMLModelAsync(CreateMLModelRequest request, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)`
`Future<CreateMLModelResult>` AmazonMachineLearningAsyncClient.`createMLModelAsync(CreateMLModelRequest request, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)`
`Future<CreateMLModelResult>` AmazonMachineLearningAsync.`createMLModelAsync(CreateMLModelRequest createMLModelRequest, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)` Creates a new `MLModel` using the `DataSource` and the recipe as information sources.

Method parameters in com.amazonaws.services.machinelearning with type arguments of type CreateMLModelResult
`Future<CreateMLModelResult>` AbstractAmazonMachineLearningAsync.`createMLModelAsync(CreateMLModelRequest request, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)`
`Future<CreateMLModelResult>` AmazonMachineLearningAsyncClient.`createMLModelAsync(CreateMLModelRequest request, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)`
`Future<CreateMLModelResult>` AmazonMachineLearningAsync.`createMLModelAsync(CreateMLModelRequest createMLModelRequest, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)` Creates a new `MLModel` using the `DataSource` and the recipe as information sources.

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

Methods in com.amazonaws.services.machinelearning.model that return CreateMLModelResult
`CreateMLModelResult` CreateMLModelResult.`clone()`
`CreateMLModelResult` CreateMLModelResult.`withMLModelId(String mLModelId)` A user-supplied ID that uniquely identifies the `MLModel`.