@property
    def feature_importances_(self):
        if self.estimators_ is None or len(self.estimators_) == 0:
            raise ValueError("Estimator not fitted,"
                             " call `fit` before `feature_importances_`.")

        return sum(tree.feature_importances_ * weight for tree, weight
                   in zip(self.estimators_, self.estimator_weights_))
Attempting to activate with a key which is not a SHA1 hash
dataset/ETHPy150Open anaderi/lhcb_trigger_ml/hep_ml/uboost.py/uBoostBDT.feature_importances_--crossover with--dataset/ETHPy150Open codesters/codesters/registration/tests/models.py/RegistrationModelTests.test_activation_invalid_key