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

Packages that use MLModel

Package	Description
com.amazonaws.services.machinelearning.model	Classes modeling the various types represented by AmazonMachineLearning.

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

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

Modifier and Type	Method and Description
MLModel	MLModel.addTrainingParametersEntry(String key, String value) A list of the training parameters in the MLModel.
MLModel	MLModel.clearTrainingParametersEntries() Removes all the entries added into TrainingParameters.
MLModel	MLModel.clone()
MLModel	MLModel.withAlgorithm(Algorithm algorithm) The algorithm used to train the MLModel.
MLModel	MLModel.withAlgorithm(String algorithm) The algorithm used to train the MLModel.
MLModel	MLModel.withCreatedAt(Date createdAt) The time that the MLModel was created.
MLModel	MLModel.withCreatedByIamUser(String createdByIamUser) The AWS user account from which the MLModel was created.
MLModel	MLModel.withEndpointInfo(RealtimeEndpointInfo endpointInfo) The current endpoint of the MLModel.
MLModel	MLModel.withInputDataLocationS3(String inputDataLocationS3) The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
MLModel	MLModel.withLastUpdatedAt(Date lastUpdatedAt) The time of the most recent edit to the MLModel.
MLModel	MLModel.withMessage(String message) A description of the most recent details about accessing the MLModel.
MLModel	MLModel.withMLModelId(String mLModelId) The ID assigned to the MLModel at creation.
MLModel	MLModel.withMLModelType(MLModelType mLModelType) Identifies the MLModel category.
MLModel	MLModel.withMLModelType(String mLModelType) Identifies the MLModel category.
MLModel	MLModel.withName(String name) A user-supplied name or description of the MLModel.
MLModel	MLModel.withScoreThreshold(Float scoreThreshold) Sets the value of the ScoreThreshold property for this object.
MLModel	MLModel.withScoreThresholdLastUpdatedAt(Date scoreThresholdLastUpdatedAt) The time of the most recent edit to the ScoreThreshold.
MLModel	MLModel.withSizeInBytes(Long sizeInBytes) Long integer type that is a 64-bit signed number.
MLModel	MLModel.withStatus(EntityStatus status) The current status of an MLModel.
MLModel	MLModel.withStatus(String status) The current status of an MLModel.
MLModel	MLModel.withTrainingDataSourceId(String trainingDataSourceId) The ID of the training DataSource.
MLModel	MLModel.withTrainingParameters(Map<String,String> trainingParameters) A list of the training parameters in the MLModel.

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

Modifier and Type	Method and Description
List<MLModel>	DescribeMLModelsResult.getResults() A list of MLModel that meet the search criteria.

Methods in com.amazonaws.services.machinelearning.model with parameters of type MLModel

Modifier and Type	Method and Description
DescribeMLModelsResult	DescribeMLModelsResult.withResults(MLModel... results) A list of MLModel that meet the search criteria.

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

Modifier and Type	Method and Description
void	DescribeMLModelsResult.setResults(Collection<MLModel> results) A list of MLModel that meet the search criteria.
DescribeMLModelsResult	DescribeMLModelsResult.withResults(Collection<MLModel> results) A list of MLModel that meet the search criteria.