template.py 文件源码

def transform(self, X):
        """ A reference implementation of a transform function.

        Parameters
        ----------
        X : array-like of shape = [n_samples, n_features]
            The input samples.

        Returns
        -------
        X_transformed : array of int of shape = [n_samples, n_features]
            The array containing the element-wise square roots of the values
            in `X`
        """
        # Check is fit had been called
        check_is_fitted(self, ['input_shape_'])

        # Input validation
        X = check_array(X)

        # Check that the input is of the same shape as the one passed
        # during fit.
        if X.shape != self.input_shape_:
            raise ValueError('Shape of input is different from what was seen'
                             'in `fit`')
        return np.sqrt(X)