Uses of Class
com.amazonaws.services.machinelearning.model.CreateMLModelRequest
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Packages that use CreateMLModelRequest Package Description com.amazonaws.services.machinelearning com.amazonaws.services.machinelearning.model -
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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 newMLModel
using the data files and the recipe as information sources.CreateMLModelResult
AmazonMachineLearningClient. createMLModel(CreateMLModelRequest createMLModelRequest)
Creates a newMLModel
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 newMLModel
using the data files and the recipe as information sources.Future<CreateMLModelResult>
AmazonMachineLearningAsync. createMLModelAsync(CreateMLModelRequest createMLModelRequest, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)
Creates a newMLModel
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 newMLModel
using the data files and the recipe as information sources.Future<CreateMLModelResult>
AmazonMachineLearningAsyncClient. createMLModelAsync(CreateMLModelRequest request, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)
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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 theMLModel
.CreateMLModelRequest
CreateMLModelRequest. withMLModelName(String mLModelName)
A user-supplied name or description of theMLModel
.CreateMLModelRequest
CreateMLModelRequest. withMLModelType(MLModelType mLModelType)
The category of supervised learning that thisMLModel
will address.CreateMLModelRequest
CreateMLModelRequest. withMLModelType(String mLModelType)
The category of supervised learning that thisMLModel
will address.CreateMLModelRequest
CreateMLModelRequest. withParameters(Map<String,String> parameters)
A list of the training parameters in theMLModel
.CreateMLModelRequest
CreateMLModelRequest. withRecipe(String recipe)
The data recipe for creatingMLModel
.CreateMLModelRequest
CreateMLModelRequest. withRecipeUri(String recipeUri)
The Amazon Simple Storage Service (Amazon S3) location and file name that contains theMLModel
recipe.CreateMLModelRequest
CreateMLModelRequest. withTrainingDataSourceId(String trainingDataSourceId)
TheDataSource
that points to the training data.
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