preprocess.py 文件源码

def __call__(self, data):
        if data.domain != self.domain:
            data = data.from_table(self.domain, data)
        xs, xsind, mon, X = _transform_to_sorted_features(data)
        X, nans = _nan_extend_edges_and_interpolate(xs[xsind], X)
        X = gaussian_filter1d(X, sigma=self.sd, mode="nearest")
        if nans is not None:
            X[nans] = np.nan
        return _transform_back_to_features(xsind, mon, X)