crepes 0.6.0

v0.6.0 (28/06/2023)

Features

• The classes ConformalClassifier and WrapClassifier have been added to crepes, allowing for generation of standard and Mondrian conformal classifiers, which produce p-values and prediction sets. The calibrate method of WrapClassifier allows for easily generating class-conditional conformal classifiers and using out-of-bag calibration. See the documentation for the interface to objects of the class through the calibrate, predict_p and predict_set methods, in addition to the fit, predict and predict_proba methods of the wrapped learner. The method evaluate allows for evaluating the predictive performance using a set of standard metrics.

• The function hinge for computing non-conformity scores for conformal classifiers has been added to crepes.extras.

Fixes

• The class Wrap has changed name to WrapRegressor and the arguments to the calibrate method of this class have been changed to be in line with the calibrate method of WrapClassifier.

• The Jupyter notebooks crepes_nb_wrap.ipynb and crepes_nb.ipynb have been updated and extended