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

Packages that use UpdateMLModelRequest
com.amazonaws.services.machinelearning: Definition of the public APIs exposed by Amazon Machine Learning
com.amazonaws.services.machinelearning.model

### Uses of UpdateMLModelRequest in com.amazonaws.services.machinelearning

Methods in com.amazonaws.services.machinelearning with parameters of type UpdateMLModelRequest
`UpdateMLModelResult` AmazonMachineLearningClient.`updateMLModel(UpdateMLModelRequest updateMLModelRequest)` Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel`.
`UpdateMLModelResult` AmazonMachineLearning.`updateMLModel(UpdateMLModelRequest updateMLModelRequest)` Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel`.
`UpdateMLModelResult` AbstractAmazonMachineLearning.`updateMLModel(UpdateMLModelRequest request)`
`Future<UpdateMLModelResult>` AbstractAmazonMachineLearningAsync.`updateMLModelAsync(UpdateMLModelRequest request)`
`Future<UpdateMLModelResult>` AmazonMachineLearningAsyncClient.`updateMLModelAsync(UpdateMLModelRequest request)`
`Future<UpdateMLModelResult>` AmazonMachineLearningAsync.`updateMLModelAsync(UpdateMLModelRequest updateMLModelRequest)` Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel`.
`Future<UpdateMLModelResult>` AbstractAmazonMachineLearningAsync.`updateMLModelAsync(UpdateMLModelRequest request, AsyncHandler<UpdateMLModelRequest,UpdateMLModelResult> asyncHandler)`
`Future<UpdateMLModelResult>` AmazonMachineLearningAsyncClient.`updateMLModelAsync(UpdateMLModelRequest request, AsyncHandler<UpdateMLModelRequest,UpdateMLModelResult> asyncHandler)`
`Future<UpdateMLModelResult>` AmazonMachineLearningAsync.`updateMLModelAsync(UpdateMLModelRequest updateMLModelRequest, AsyncHandler<UpdateMLModelRequest,UpdateMLModelResult> asyncHandler)` Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel`.

Method parameters in com.amazonaws.services.machinelearning with type arguments of type UpdateMLModelRequest
`Future<UpdateMLModelResult>` AbstractAmazonMachineLearningAsync.`updateMLModelAsync(UpdateMLModelRequest request, AsyncHandler<UpdateMLModelRequest,UpdateMLModelResult> asyncHandler)`
`Future<UpdateMLModelResult>` AmazonMachineLearningAsyncClient.`updateMLModelAsync(UpdateMLModelRequest request, AsyncHandler<UpdateMLModelRequest,UpdateMLModelResult> asyncHandler)`
`Future<UpdateMLModelResult>` AmazonMachineLearningAsync.`updateMLModelAsync(UpdateMLModelRequest updateMLModelRequest, AsyncHandler<UpdateMLModelRequest,UpdateMLModelResult> asyncHandler)` Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel`.

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

Methods in com.amazonaws.services.machinelearning.model that return UpdateMLModelRequest
`UpdateMLModelRequest` UpdateMLModelRequest.`clone()`
`UpdateMLModelRequest` UpdateMLModelRequest.`withMLModelId(String mLModelId)` The ID assigned to the `MLModel` during creation.
`UpdateMLModelRequest` UpdateMLModelRequest.`withMLModelName(String mLModelName)` A user-supplied name or description of the `MLModel`.
`UpdateMLModelRequest` UpdateMLModelRequest.`withScoreThreshold(Float scoreThreshold)` The `ScoreThreshold` used in binary classification `MLModel` that marks the boundary between a positive prediction and a negative prediction.