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

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

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

Methods in com.amazonaws.services.machinelearning.model that return PerformanceMetrics
`PerformanceMetrics` PerformanceMetrics.`addPropertiesEntry(String key, String value)`
`PerformanceMetrics` PerformanceMetrics.`clearPropertiesEntries()` Removes all the entries added into Properties.
`PerformanceMetrics` PerformanceMetrics.`clone()`
`PerformanceMetrics` GetEvaluationResult.`getPerformanceMetrics()` Measurements of how well the `MLModel` performed using observations referenced by the `DataSource`.
`PerformanceMetrics` Evaluation.`getPerformanceMetrics()` Measurements of how well the `MLModel` performed, using observations referenced by the `DataSource`.
`PerformanceMetrics` PerformanceMetrics.`withProperties(Map<String,String> properties)`

Methods in com.amazonaws.services.machinelearning.model with parameters of type PerformanceMetrics
`void` GetEvaluationResult.`setPerformanceMetrics(PerformanceMetrics performanceMetrics)` Measurements of how well the `MLModel` performed using observations referenced by the `DataSource`.
`void` Evaluation.`setPerformanceMetrics(PerformanceMetrics performanceMetrics)` Measurements of how well the `MLModel` performed, using observations referenced by the `DataSource`.
`GetEvaluationResult` GetEvaluationResult.`withPerformanceMetrics(PerformanceMetrics performanceMetrics)` Measurements of how well the `MLModel` performed using observations referenced by the `DataSource`.
`Evaluation` Evaluation.`withPerformanceMetrics(PerformanceMetrics performanceMetrics)` Measurements of how well the `MLModel` performed, using observations referenced by the `DataSource`.