Package | Description |
---|---|
com.amazonaws.services.machinelearning | |
com.amazonaws.services.machinelearning.model | |
com.amazonaws.services.machinelearning.model.transform |
Modifier and Type | Method and Description |
---|---|
CreateMLModelResult |
AmazonMachineLearningClient.createMLModel(CreateMLModelRequest createMLModelRequest)
Creates a new
MLModel using the data files and the recipe as
information sources. |
CreateMLModelResult |
AmazonMachineLearning.createMLModel(CreateMLModelRequest createMLModelRequest)
Creates a new
MLModel using the data files and the recipe as
information sources. |
CreateMLModelResult |
AbstractAmazonMachineLearning.createMLModel(CreateMLModelRequest request) |
Modifier and Type | Method and Description |
---|---|
java.util.concurrent.Future<CreateMLModelResult> |
AmazonMachineLearningAsyncClient.createMLModelAsync(CreateMLModelRequest request) |
java.util.concurrent.Future<CreateMLModelResult> |
AmazonMachineLearningAsync.createMLModelAsync(CreateMLModelRequest createMLModelRequest)
Creates a new
MLModel using the data files and the recipe as
information sources. |
java.util.concurrent.Future<CreateMLModelResult> |
AbstractAmazonMachineLearningAsync.createMLModelAsync(CreateMLModelRequest request) |
java.util.concurrent.Future<CreateMLModelResult> |
AmazonMachineLearningAsyncClient.createMLModelAsync(CreateMLModelRequest request,
AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler) |
java.util.concurrent.Future<CreateMLModelResult> |
AmazonMachineLearningAsync.createMLModelAsync(CreateMLModelRequest createMLModelRequest,
AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)
Creates a new
MLModel using the data files and the recipe as
information sources. |
java.util.concurrent.Future<CreateMLModelResult> |
AbstractAmazonMachineLearningAsync.createMLModelAsync(CreateMLModelRequest request,
AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler) |
Modifier and Type | Method and Description |
---|---|
java.util.concurrent.Future<CreateMLModelResult> |
AmazonMachineLearningAsyncClient.createMLModelAsync(CreateMLModelRequest request,
AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler) |
java.util.concurrent.Future<CreateMLModelResult> |
AmazonMachineLearningAsync.createMLModelAsync(CreateMLModelRequest createMLModelRequest,
AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)
Creates a new
MLModel using the data files and the recipe as
information sources. |
java.util.concurrent.Future<CreateMLModelResult> |
AbstractAmazonMachineLearningAsync.createMLModelAsync(CreateMLModelRequest request,
AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler) |
Modifier and Type | Method and Description |
---|---|
CreateMLModelResult |
CreateMLModelResult.clone() |
CreateMLModelResult |
CreateMLModelResult.withMLModelId(java.lang.String mLModelId)
A user-supplied ID that uniquely identifies the
MLModel . |
Modifier and Type | Method and Description |
---|---|
CreateMLModelResult |
CreateMLModelResultJsonUnmarshaller.unmarshall(JsonUnmarshallerContext context) |