lt_model.py 文件源码

def visual_get_kde(self):
        mu = self.__mu.ravel()
        density = gaussian_kde(mu)
        xs = np.linspace(mu.min(),mu.max(),200)
        density.covariance_factor = lambda : .25
        density._compute_covariance()
        return xs, density(xs)