corex.py 文件源码

def calculate_theta(self, Xm, p_y_given_x):
        """Estimate marginal parameters from data and expected latent labels."""
        theta = []
        for i in range(self.n_visible):
            not_missing = np.logical_not(ma.getmaskarray(Xm)[:, i])
            theta.append(self.estimate_parameters(Xm.data[not_missing, i], p_y_given_x[:, not_missing]))
        return np.array(theta)