8fed8eef4dec0db753d3452be4afb30748a71086,mlxtend/regressor/stacking_cv_regression.py,StackingCVRegressor,predict_meta_features,#StackingCVRegressor#,219

Before Change

            of regressors.

        
        if not hasattr(self, "regr_"):
            raise NotFittedError("Estimator not fitted, "
                                 "call `fit` before exploiting the model.")
        return np.column_stack([regr.predict(X) for regr in self.regr_])

    def get_params(self, deep=True):
        //

After Change

            of regressors.

        
        check_is_fitted(self, "regr_")
        return np.column_stack([regr.predict(X) for regr in self.regr_])

    def get_params(self, deep=True):
        //

Instances