def predict(self, X, copy=True):
        check_is_fitted(self, 'x_mean_')
        X = check_array(X, copy=copy, dtype=FLOAT_DTYPES)
        # Normalize
        X -= self.x_mean_
        X /= self.x_std_
        Ypred = np.dot(X, self.coef_)
        return Ypred + self.y_mean_
Remove an item from the cache dict.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/cross_decomposition/pls_.py/_PLS.predict--crossover with--dataset/ETHPy150Open AppScale/appscale/AppServer/lib/jinja2-2.6/jinja2/utils.py/LRUCache.__delitem__