8fed8eef4dec0db753d3452be4afb30748a71086,mlxtend/regressor/stacking_cv_regression.py,StackingCVRegressor,predict,#StackingCVRegressor#Any#,186

Before Change

        // the meta-model from that info.
        //

        if not hasattr(self, "regr_"):
            raise NotFittedError("Estimator not fitted, "
                                 "call `fit` before exploiting the model.")

        meta_features = np.column_stack([
            regr.predict(X) for regr in self.regr_
        ])

After Change

        // the meta-model from that info.
        //

        check_is_fitted(self, "regr_")

        meta_features = np.column_stack([
            regr.predict(X) for regr in self.regr_
        ])

Instances