likelihoods.py 文件源码

def variational_expectations(self, Fmu, Fvar, Y):
        if self.invlink is tf.exp:
            return Y * Fmu - tf.exp(Fmu + Fvar / 2) * self.binsize \
                   - tf.lgamma(Y + 1) + Y * tf.log(self.binsize)
        return super(Poisson, self).variational_expectations(Fmu, Fvar, Y)