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

Packages that use MLModel
com.amazonaws.services.machinelearning.model

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

Methods in com.amazonaws.services.machinelearning.model that return MLModel
`MLModel` MLModel.`addTrainingParametersEntry(String key, String value)`
`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.`withComputeTime(Long computeTime)`
`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.`withFinishedAt(Date finishedAt)`
`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)`
`MLModel` MLModel.`withScoreThresholdLastUpdatedAt(Date scoreThresholdLastUpdatedAt)` The time of the most recent edit to the `ScoreThreshold`.
`MLModel` MLModel.`withSizeInBytes(Long sizeInBytes)`
`MLModel` MLModel.`withStartedAt(Date startedAt)`
`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
`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
`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
`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.