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