Uses of Class com.amazonaws.services.machinelearning.model.CreateMLModelRequest (AWS SDK for Java 1.11.3 API)

Packages that use CreateMLModelRequest
Package Description

com.amazonaws.services.machinelearning

com.amazonaws.services.machinelearning.model

Uses of CreateMLModelRequest in com.amazonaws.services.machinelearning

Methods in com.amazonaws.services.machinelearning with parameters of type CreateMLModelRequest
Modifier and Type	Method	Description
`CreateMLModelResult`	AbstractAmazonMachineLearning.`createMLModel(CreateMLModelRequest request)`
`CreateMLModelResult`	AmazonMachineLearning.`createMLModel(CreateMLModelRequest createMLModelRequest)`	Creates a new `MLModel` using the data files and the recipe as information sources.
`CreateMLModelResult`	AmazonMachineLearningClient.`createMLModel(CreateMLModelRequest createMLModelRequest)`	Creates a new `MLModel` using the data files and the recipe as information sources.
`Future<CreateMLModelResult>`	AbstractAmazonMachineLearningAsync.`createMLModelAsync(CreateMLModelRequest request)`
`Future<CreateMLModelResult>`	AbstractAmazonMachineLearningAsync.`createMLModelAsync(CreateMLModelRequest request, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)`
`Future<CreateMLModelResult>`	AmazonMachineLearningAsync.`createMLModelAsync(CreateMLModelRequest createMLModelRequest)`	Creates a new `MLModel` using the data files and the recipe as information sources.
`Future<CreateMLModelResult>`	AmazonMachineLearningAsync.`createMLModelAsync(CreateMLModelRequest createMLModelRequest, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)`	Creates a new `MLModel` using the data files and the recipe as information sources.
`Future<CreateMLModelResult>`	AmazonMachineLearningAsyncClient.`createMLModelAsync(CreateMLModelRequest request)`
`Future<CreateMLModelResult>`	AmazonMachineLearningAsyncClient.`createMLModelAsync(CreateMLModelRequest request, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)`

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

Uses of CreateMLModelRequest in com.amazonaws.services.machinelearning.model

Methods in com.amazonaws.services.machinelearning.model that return CreateMLModelRequest
Modifier and Type	Method	Description
`CreateMLModelRequest`	CreateMLModelRequest.`addParametersEntry(String key, String value)`
`CreateMLModelRequest`	CreateMLModelRequest.`clearParametersEntries()`	Removes all the entries added into Parameters.
`CreateMLModelRequest`	CreateMLModelRequest.`clone()`
`CreateMLModelRequest`	CreateMLModelRequest.`withMLModelId(String mLModelId)`	A user-supplied ID that uniquely identifies the `MLModel`.
`CreateMLModelRequest`	CreateMLModelRequest.`withMLModelName(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(String mLModelType)`	The category of supervised learning that this `MLModel` will address.
`CreateMLModelRequest`	CreateMLModelRequest.`withParameters(Map<String,String> parameters)`	A list of the training parameters in the `MLModel`.
`CreateMLModelRequest`	CreateMLModelRequest.`withRecipe(String recipe)`	The data recipe for creating `MLModel`.
`CreateMLModelRequest`	CreateMLModelRequest.`withRecipeUri(String recipeUri)`	The Amazon Simple Storage Service (Amazon S3) location and file name that contains the `MLModel` recipe.
`CreateMLModelRequest`	CreateMLModelRequest.`withTrainingDataSourceId(String trainingDataSourceId)`	The `DataSource` that points to the training data.