las.py 文件源码

def _scores(self, range_, k, cumsum, m_log_combs, n_log_combs):
        """Calculates the score function for all possible numbers of rows (or columns)."""
        avgs = cumsum / (range_ * k)
        log_probs = norm.logcdf(-avgs * np.sqrt(range_ * k))
        return - log_probs - m_log_combs - n_log_combs[k-1]