Package jsat.classifiers.calibration

Interface Summary

Interface	Description
BinaryScoreClassifier	Many algorithms linear a binary separation between two classes A and B by representing the target labels with a -1 ad 1.

Class Summary

Class	Description
BinaryCalibration	This abstract class provides the frame work for an algorithm to perform probability calibration based on the outputs of a base learning algorithm for binary classification problems.
IsotonicCalibration	Isotonic Calibration is non-parametric, and only assumes that the underlying distribution from negative to positive examples is strictly a non-decreasing function.
PlattCalibration	Platt Calibration essentially performs logistic regression on the output scores of a model against their class labels.

Enum Summary

Enum	Description
BinaryCalibration.CalibrationMode	Controls how the scores are obtained for producing a "training set" to calibrate the output of the underlying model.