예제 #1
0
def prior_kl(global_natparam, prior_natparam):
    expected_stats = flat(prior_expectedstats(global_natparam))
    natparam_difference = flat(global_natparam) - flat(prior_natparam)
    logZ_difference = prior_logZ(global_natparam) - prior_logZ(prior_natparam)
    return np.dot(natparam_difference, expected_stats) - logZ_difference
예제 #2
0
파일: gmm.py 프로젝트: mattjj/svae 
def prior_kl(global_natparam, prior_natparam):
    expected_stats = flat(prior_expectedstats(global_natparam))
    natparam_difference = flat(global_natparam) - flat(prior_natparam)
    logZ_difference = prior_logZ(global_natparam) - prior_logZ(prior_natparam)
    return np.dot(natparam_difference, expected_stats) - logZ_difference