base.py 文件源码

def fit(self, x_, y, sample_weight=None):
        n_samples, n_features = x_.shape

        X, y = check_X_y(x_, y, accept_sparse=[], y_numeric=True, multi_output=False)

        x, y, X_offset, y_offset, X_scale = self._preprocess_data(
            x_, y, fit_intercept=self.fit_intercept, normalize=self.normalize,
            copy=self.copy_X, sample_weight=None)

        if sample_weight is not None:
            # Sample weight can be implemented via a simple rescaling.
            x, y = _rescale_data(x, y, sample_weight)

        coefs, intercept = fit_with_noise(x, y, self.sigma, self.alpha, self.n)
        self.intercept_ = intercept
        self.coef_ = coefs
        self._set_intercept(X_offset, y_offset, X_scale)
        return self