CalibratedClassifierCV

CalibratedClassifierCV# class sklearn.calibration.CalibratedClassifierCV(estimator=None, *, method='sigmoid', cv=None, n_jobs=None, ensemble='auto')[source]# Probability calibration with isotonic regression or logistic regression. This class uses cross-validation to both estimate the parameters of a classifier and subsequently calibrate a classifier. With ensemble=True, for each cv split it fits a

[qiu-gits]

“CalibratedClassifierCV”