Package edu.udo.cs.yale.operator.postprocessing

Operators for post processing, usually used for models.

See:
Description

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.
SplitChain	An operator chain that split an ExampleSet into two disjunct parts and applies the first child operator on the first part and applies the second child on the second part and the result of the first child.
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.

Package edu.udo.cs.yale.operator.postprocessing Description

Operators for post processing, usually used for models.