MRCpy Package Contents

Minimax Risk Classifiers

MRCpy.MRC([loss, s, deterministic, ...])	Minimax Risk Classifier
MRCpy.CMRC([loss, s, deterministic, ...])	Constrained Minimax Risk Classifier
MRCpy.AMRC(n_classes[, loss, deterministic, ...])	Adaptative Minimax Risk Classifier
MRCpy.DWGCS([loss, deterministic, ...])	Double-Weighting General Covariate Shift

Feature Mappings

MRCpy.phi.RandomFourierPhi(n_classes[, ...])	Fourier features
MRCpy.phi.RandomReLUPhi(n_classes[, ...])	ReLU features
MRCpy.phi.ThresholdPhi(n_classes[, ...])	Threshold features

Extended Functionalities

MRCpy.BaseMRC([loss, s, deterministic, ...])	Base class for different minimax risk classifiers
MRCpy.phi.BasePhi(n_classes[, ...])	Base class for feature mappings