def score_to_proba(self, score):
        proba = np.empty((len(score), 2), dtype=float)
        proba[:, 1] = score / self.efficiency_steps
        proba[:, 0] = 1.0 - proba[:, 1]
        return proba
dataset/ETHPy150Open anaderi/lhcb_trigger_ml/hep_ml/uboost.py/uBoostClassifier.score_to_proba/original