Uses of Class
com.amazonaws.services.machinelearning.model.GetMLModelResult

Packages that use GetMLModelResult

Package	Description
com.amazonaws.services.machinelearning	Synchronous and asynchronous client classes for accessing AmazonMachineLearning.
com.amazonaws.services.machinelearning.model	Classes modeling the various types represented by AmazonMachineLearning.

Uses of GetMLModelResult in com.amazonaws.services.machinelearning

Methods in com.amazonaws.services.machinelearning that return GetMLModelResult

Modifier and Type	Method and Description
GetMLModelResult	AmazonMachineLearningClient.getMLModel(GetMLModelRequest getMLModelRequest) Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .
GetMLModelResult	AmazonMachineLearning.getMLModel(GetMLModelRequest getMLModelRequest) Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .

Methods in com.amazonaws.services.machinelearning that return types with arguments of type GetMLModelResult

Modifier and Type	Method and Description
Future<GetMLModelResult>	AmazonMachineLearningAsyncClient.getMLModelAsync(GetMLModelRequest getMLModelRequest) Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .
Future<GetMLModelResult>	AmazonMachineLearningAsync.getMLModelAsync(GetMLModelRequest getMLModelRequest) Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .
Future<GetMLModelResult>	AmazonMachineLearningAsyncClient.getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler) Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .
Future<GetMLModelResult>	AmazonMachineLearningAsync.getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler) Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .

Method parameters in com.amazonaws.services.machinelearning with type arguments of type GetMLModelResult

Modifier and Type	Method and Description
Future<GetMLModelResult>	AmazonMachineLearningAsyncClient.getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler) Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .
Future<GetMLModelResult>	AmazonMachineLearningAsync.getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler) Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .

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

Methods in com.amazonaws.services.machinelearning.model that return GetMLModelResult

Modifier and Type	Method and Description
GetMLModelResult	GetMLModelResult.addTrainingParametersEntry(String key, String value) A list of the training parameters in the MLModel.
GetMLModelResult	GetMLModelResult.clearTrainingParametersEntries() Removes all the entries added into TrainingParameters.
GetMLModelResult	GetMLModelResult.clone()
GetMLModelResult	GetMLModelResult.withCreatedAt(Date createdAt) The time that the MLModel was created.
GetMLModelResult	GetMLModelResult.withCreatedByIamUser(String createdByIamUser) The AWS user account from which the MLModel was created.
GetMLModelResult	GetMLModelResult.withEndpointInfo(RealtimeEndpointInfo endpointInfo) The current endpoint of the MLModel
GetMLModelResult	GetMLModelResult.withInputDataLocationS3(String inputDataLocationS3) The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
GetMLModelResult	GetMLModelResult.withLastUpdatedAt(Date lastUpdatedAt) The time of the most recent edit to the MLModel.
GetMLModelResult	GetMLModelResult.withLogUri(String logUri) A link to the file that contains logs of the CreateMLModel operation.
GetMLModelResult	GetMLModelResult.withMessage(String message) Description of the most recent details about accessing the MLModel.
GetMLModelResult	GetMLModelResult.withMLModelId(String mLModelId) The MLModel ID which is same as the MLModelId in the request.
GetMLModelResult	GetMLModelResult.withMLModelType(MLModelType mLModelType) Identifies the MLModel category.
GetMLModelResult	GetMLModelResult.withMLModelType(String mLModelType) Identifies the MLModel category.
GetMLModelResult	GetMLModelResult.withName(String name) A user-supplied name or description of the MLModel.
GetMLModelResult	GetMLModelResult.withRecipe(String recipe) The recipe to use when training the MLModel.
GetMLModelResult	GetMLModelResult.withSchema(String schema) The schema used by all of the data files referenced by the DataSource.
GetMLModelResult	GetMLModelResult.withScoreThreshold(Float scoreThreshold) The scoring threshold is used in binary classification MLModels, and marks the boundary between a positive prediction and a negative prediction.
GetMLModelResult	GetMLModelResult.withScoreThresholdLastUpdatedAt(Date scoreThresholdLastUpdatedAt) The time of the most recent edit to the ScoreThreshold.
GetMLModelResult	GetMLModelResult.withSizeInBytes(Long sizeInBytes) Long integer type that is a 64-bit signed number.
GetMLModelResult	GetMLModelResult.withStatus(EntityStatus status) The current status of the MLModel.
GetMLModelResult	GetMLModelResult.withStatus(String status) The current status of the MLModel.
GetMLModelResult	GetMLModelResult.withTrainingDataSourceId(String trainingDataSourceId) The ID of the training DataSource.
GetMLModelResult	GetMLModelResult.withTrainingParameters(Map<String,String> trainingParameters) A list of the training parameters in the MLModel.