9.5. Calibration#

Calibration utilities provide hooks for adjusting classifier or quantifier outputs before prevalence estimation. Use these classes to implement custom calibration strategies when needed.

9.5.1. Available classes#

9.5.2. Example skeleton#

from mlquantify.calibration import Calibrator

class MyCalibrator(Calibrator):
    def fit(self, y_true, y_pred):
        return self

    def predict(self, y_pred):
        return y_pred