| Package | Description | 
|---|---|
| com.amazonaws.services.machinelearning | Synchronous and asynchronous client classes for accessing AmazonMachineLearning. | 
| com.amazonaws.services.machinelearning.model | Classes modeling the various types represented by AmazonMachineLearning. | 
| Modifier and Type | Method and Description | 
|---|---|
| CreateMLModelResult | AmazonMachineLearningClient. createMLModel(CreateMLModelRequest createMLModelRequest)
 Creates a new  MLModelusing the data files and the
 recipe as information sources. | 
| CreateMLModelResult | AmazonMachineLearning. createMLModel(CreateMLModelRequest createMLModelRequest)
 Creates a new  MLModelusing the data files and the
 recipe as information sources. | 
| Modifier and Type | Method and Description | 
|---|---|
| Future<CreateMLModelResult> | AmazonMachineLearningAsyncClient. createMLModelAsync(CreateMLModelRequest createMLModelRequest)
 Creates a new  MLModelusing the data files and the
 recipe as information sources. | 
| Future<CreateMLModelResult> | AmazonMachineLearningAsync. createMLModelAsync(CreateMLModelRequest createMLModelRequest)
 Creates a new  MLModelusing the data files and the
 recipe as information sources. | 
| Future<CreateMLModelResult> | AmazonMachineLearningAsyncClient. createMLModelAsync(CreateMLModelRequest createMLModelRequest,
                  AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)
 Creates a new  MLModelusing the data files and the
 recipe as information sources. | 
| Future<CreateMLModelResult> | AmazonMachineLearningAsync. createMLModelAsync(CreateMLModelRequest createMLModelRequest,
                  AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)
 Creates a new  MLModelusing the data files and the
 recipe as information sources. | 
| Modifier and Type | Method and Description | 
|---|---|
| Future<CreateMLModelResult> | AmazonMachineLearningAsyncClient. createMLModelAsync(CreateMLModelRequest createMLModelRequest,
                  AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)
 Creates a new  MLModelusing the data files and the
 recipe as information sources. | 
| Future<CreateMLModelResult> | AmazonMachineLearningAsync. createMLModelAsync(CreateMLModelRequest createMLModelRequest,
                  AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)
 Creates a new  MLModelusing the data files and the
 recipe as information sources. | 
| Modifier and Type | Method and Description | 
|---|---|
| CreateMLModelResult | CreateMLModelResult. clone() | 
| CreateMLModelResult | CreateMLModelResult. withMLModelId(String mLModelId)A user-supplied ID that uniquely identifies the  MLModel. | 
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