Uses of Class
com.amazonaws.services.machinelearning.model.CreateMLModelRequest
Packages that use CreateMLModelRequest
Package
Description
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Uses of CreateMLModelRequest in com.amazonaws.services.machinelearning
Methods in com.amazonaws.services.machinelearning with parameters of type CreateMLModelRequestModifier and TypeMethodDescriptionAbstractAmazonMachineLearning.createMLModel
(CreateMLModelRequest request) AmazonMachineLearning.createMLModel
(CreateMLModelRequest createMLModelRequest) Creates a newMLModel
using the data files and the recipe as information sources.AmazonMachineLearningClient.createMLModel
(CreateMLModelRequest createMLModelRequest) Creates a newMLModel
using the data files and the recipe as information sources.AbstractAmazonMachineLearningAsync.createMLModelAsync
(CreateMLModelRequest request) AbstractAmazonMachineLearningAsync.createMLModelAsync
(CreateMLModelRequest request, AsyncHandler<CreateMLModelRequest, CreateMLModelResult> asyncHandler) AmazonMachineLearningAsync.createMLModelAsync
(CreateMLModelRequest createMLModelRequest) Creates a newMLModel
using the data files and the recipe as information sources.AmazonMachineLearningAsync.createMLModelAsync
(CreateMLModelRequest createMLModelRequest, AsyncHandler<CreateMLModelRequest, CreateMLModelResult> asyncHandler) Creates a newMLModel
using the data files and the recipe as information sources.AmazonMachineLearningAsyncClient.createMLModelAsync
(CreateMLModelRequest request) AmazonMachineLearningAsyncClient.createMLModelAsync
(CreateMLModelRequest request, AsyncHandler<CreateMLModelRequest, CreateMLModelResult> asyncHandler) Method parameters in com.amazonaws.services.machinelearning with type arguments of type CreateMLModelRequestModifier and TypeMethodDescriptionAbstractAmazonMachineLearningAsync.createMLModelAsync
(CreateMLModelRequest request, AsyncHandler<CreateMLModelRequest, CreateMLModelResult> asyncHandler) AmazonMachineLearningAsync.createMLModelAsync
(CreateMLModelRequest createMLModelRequest, AsyncHandler<CreateMLModelRequest, CreateMLModelResult> asyncHandler) Creates a newMLModel
using the data files and the recipe as information sources.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 CreateMLModelRequestModifier and TypeMethodDescriptionCreateMLModelRequest.addParametersEntry
(String key, String value) CreateMLModelRequest.clearParametersEntries()
Removes all the entries added into Parameters.CreateMLModelRequest.clone()
CreateMLModelRequest.withMLModelId
(String mLModelId) A user-supplied ID that uniquely identifies theMLModel
.CreateMLModelRequest.withMLModelName
(String mLModelName) A user-supplied name or description of theMLModel
.CreateMLModelRequest.withMLModelType
(MLModelType mLModelType) The category of supervised learning that thisMLModel
will address.CreateMLModelRequest.withMLModelType
(String mLModelType) The category of supervised learning that thisMLModel
will address.CreateMLModelRequest.withParameters
(Map<String, String> parameters) A list of the training parameters in theMLModel
.CreateMLModelRequest.withRecipe
(String recipe) The data recipe for creatingMLModel
.CreateMLModelRequest.withRecipeUri
(String recipeUri) The Amazon Simple Storage Service (Amazon S3) location and file name that contains theMLModel
recipe.CreateMLModelRequest.withTrainingDataSourceId
(String trainingDataSourceId) TheDataSource
that points to the training data.