univariate.py 文件源码

def _log_prob(self, given):
        alpha, beta = self.alpha, self.beta
        log_given = tf.log(given)
        log_beta = tf.log(beta)
        lgamma_alpha = tf.lgamma(alpha)

        if self._check_numerics:
            log_given = tf.check_numerics(log_given, "log(given)")
            log_beta = tf.check_numerics(log_beta, "log(beta)")
            lgamma_alpha = tf.check_numerics(lgamma_alpha, "lgamma(alpha)")

        return alpha * log_beta - lgamma_alpha - (alpha + 1) * log_given - \
            beta / given