Uses of Package
jsat.classifiers.calibration

Packages that use jsat.classifiers.calibration

Package	Description
jsat.classifiers
jsat.classifiers.boosting
jsat.classifiers.calibration
jsat.classifiers.linear
jsat.classifiers.linear.kernelized
jsat.classifiers.neuralnetwork
jsat.classifiers.svm
jsat.classifiers.svm.extended

Classes in jsat.classifiers.calibration used by jsat.classifiers

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

Classes in jsat.classifiers.calibration used by jsat.classifiers.boosting

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

Classes in jsat.classifiers.calibration used by jsat.classifiers.calibration

Class and 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.
BinaryCalibration.CalibrationMode Controls how the scores are obtained for producing a "training set" to calibrate the output of the underlying model.
BinaryScoreClassifier Many algorithms linear a binary separation between two classes A and B by representing the target labels with a -1 ad 1.
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.

Classes in jsat.classifiers.calibration used by jsat.classifiers.linear

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

Classes in jsat.classifiers.calibration used by jsat.classifiers.linear.kernelized

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

Classes in jsat.classifiers.calibration used by jsat.classifiers.neuralnetwork

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

Classes in jsat.classifiers.calibration used by jsat.classifiers.svm

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

Classes in jsat.classifiers.calibration used by jsat.classifiers.svm.extended

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