test_gmm_hmm.py 文件源码

def create_random_gmm(n_mix, n_features, covariance_type, prng=0):
    prng = check_random_state(prng)
    g = GMM(n_mix, covariance_type=covariance_type)
    g.means_ = prng.randint(-20, 20, (n_mix, n_features))
    g.covars_ = make_covar_matrix(covariance_type, n_mix, n_features)
    g.weights_ = normalized(prng.rand(n_mix))
    return g