本文整理汇总了Python中sklearn.mixture.gaussian_mixture.GaussianMixture.score_samples方法的典型用法代码示例。如果您正苦于以下问题：Python GaussianMixture.score_samples方法的具体用法？Python GaussianMixture.score_samples怎么用？Python GaussianMixture.score_samples使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.mixture.gaussian_mixture.GaussianMixture的用法示例。
在下文中一共展示了GaussianMixture.score_samples方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_score
# 需要导入模块: from sklearn.mixture.gaussian_mixture import GaussianMixture [as 别名]
# 或者: from sklearn.mixture.gaussian_mixture.GaussianMixture import score_samples [as 别名]
def test_score():
covar_type = 'full'
rng = np.random.RandomState(0)
rand_data = RandomData(rng, scale=7)
n_components = rand_data.n_components
X = rand_data.X[covar_type]
# Check the error message if we don't call fit
gmm1 = GaussianMixture(n_components=n_components, n_init=1,
max_iter=1, reg_covar=0, random_state=rng,
covariance_type=covar_type)
assert_raise_message(NotFittedError,
"This GaussianMixture instance is not fitted "
"yet. Call 'fit' with appropriate arguments "
"before using this method.", gmm1.score, X)
# Check score value
with warnings.catch_warnings():
warnings.simplefilter("ignore", ConvergenceWarning)
gmm1.fit(X)
gmm_score = gmm1.score(X)
gmm_score_proba = gmm1.score_samples(X).mean()
assert_almost_equal(gmm_score, gmm_score_proba)
# Check if the score increase
gmm2 = GaussianMixture(n_components=n_components, n_init=1, reg_covar=0,
random_state=rng,
covariance_type=covar_type).fit(X)
assert_greater(gmm2.score(X), gmm1.score(X))