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) |
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 |
---|---|
CreateMLModelRequest |
CreateMLModelRequest.addParametersEntry(java.lang.String key,
java.lang.String value) |
CreateMLModelRequest |
CreateMLModelRequest.clearParametersEntries()
Removes all the entries added into Parameters.
|
CreateMLModelRequest |
CreateMLModelRequest.clone() |
CreateMLModelRequest |
CreateMLModelRequest.withMLModelId(java.lang.String mLModelId)
A user-supplied ID that uniquely identifies the
MLModel . |
CreateMLModelRequest |
CreateMLModelRequest.withMLModelName(java.lang.String mLModelName)
A user-supplied name or description of the
MLModel . |
CreateMLModelRequest |
CreateMLModelRequest.withMLModelType(MLModelType mLModelType)
The category of supervised learning that this
MLModel will
address. |
CreateMLModelRequest |
CreateMLModelRequest.withMLModelType(java.lang.String mLModelType)
The category of supervised learning that this
MLModel will
address. |
CreateMLModelRequest |
CreateMLModelRequest.withParameters(java.util.Map<java.lang.String,java.lang.String> parameters)
A list of the training parameters in the
MLModel . |
CreateMLModelRequest |
CreateMLModelRequest.withRecipe(java.lang.String recipe)
The data recipe for creating
MLModel . |
CreateMLModelRequest |
CreateMLModelRequest.withRecipeUri(java.lang.String recipeUri)
The Amazon Simple Storage Service (Amazon S3) location and file name that
contains the
MLModel recipe. |
CreateMLModelRequest |
CreateMLModelRequest.withTrainingDataSourceId(java.lang.String trainingDataSourceId)
The
DataSource that points to the training data. |
Modifier and Type | Method and Description |
---|---|
Request<CreateMLModelRequest> |
CreateMLModelRequestMarshaller.marshall(CreateMLModelRequest createMLModelRequest) |
Modifier and Type | Method and Description |
---|---|
Request<CreateMLModelRequest> |
CreateMLModelRequestMarshaller.marshall(CreateMLModelRequest createMLModelRequest) |