def _est_b_bw(self):
        params0 = np.random.uniform(size=(self.k_linear + self.K, ))
        b_bw = optimize.fmin(self.cv_loo, params0, disp=0)
        b = b_bw[0 : self.k_linear]
        bw = b_bw[self.k_linear:]
        #bw = self._set_bw_bounds(np.asarray(bw))
        return b, bw
Computes the (beta) coefficients and the bandwidths.
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/sandbox/nonparametric/kernel_extras.py/SemiLinear._est_b_bw