|
Class Summary |
| PlattParameters |
A convenience class that contains the parameters of a PlattScalingModel. |
| PlattScaling |
A scaling operator, applying the original algorithm by Platt (1999) to turn
confidence scores of boolean classifiers into probability estimates. |
| PlattScalingModel |
A model that contains a boolean classifier and a scaling operation that turns
confidence scores into probability estimates. |
| SimpleUncertainPredictionsTransformation |
This operator sets all predictions which do not have a higher confidence than the
specified one to "unknown" (missing value). |
| Threshold |
A threshold for soft2crisp classifying. |
| ThresholdApplier |
This operator applies the given threshold to an example set and maps a soft
prediction to crisp values. |
| ThresholdCreator |
This operator creates a user defined threshold for crisp classifying based on
prediction confidences. |
| ThresholdFinder |
This operator finds the best threshold for crisp classifying based on user
defined costs. |
| WindowExamples2OriginalData |
This operator performs several transformations which could be performed
by basic RapidMiner operators but lead to complex operator chains. |