def staged_predict_score(self, X):
        X = self.get_train_vars(X)
        score = np.zeros(len(X))
        for classifier, weight in zip(self.estimators_, self.estimator_weights_):
            score += self._estimator_score(classifier, X) - weight
            yield score
dataset/ETHPy150Open anaderi/lhcb_trigger_ml/hep_ml/uboost.py/uBoostBDT.staged_predict_score/operator `*` -> `-`