likelihoods.py 文件源码

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