本文整理汇总了Python中sklearn.covariance.EllipticEnvelope.score_samples方法的典型用法代码示例。如果您正苦于以下问题：Python EllipticEnvelope.score_samples方法的具体用法？Python EllipticEnvelope.score_samples怎么用？Python EllipticEnvelope.score_samples使用的例子？那么, 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.covariance.EllipticEnvelope的用法示例。
在下文中一共展示了EllipticEnvelope.score_samples方法的2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_samples
# 需要导入模块: from sklearn.covariance import EllipticEnvelope [as 别名]
# 或者: from sklearn.covariance.EllipticEnvelope import score_samples [as 别名]
def test_score_samples():
X_train = [[1, 1], [1, 2], [2, 1]]
clf1 = EllipticEnvelope(contamination=0.2).fit(X_train)
clf2 = EllipticEnvelope().fit(X_train)
assert_array_equal(clf1.score_samples([[2., 2.]]),
clf1.decision_function([[2., 2.]]) + clf1.offset_)
assert_array_equal(clf2.score_samples([[2., 2.]]),
clf2.decision_function([[2., 2.]]) + clf2.offset_)
assert_array_equal(clf1.score_samples([[2., 2.]]),
clf2.score_samples([[2., 2.]]))示例2: test_elliptic_envelope
# 需要导入模块: from sklearn.covariance import EllipticEnvelope [as 别名]
# 或者: from sklearn.covariance.EllipticEnvelope import score_samples [as 别名]
def test_elliptic_envelope():
rnd = np.random.RandomState(0)
X = rnd.randn(100, 10)
clf = EllipticEnvelope(contamination=0.1)
assert_raises(NotFittedError, clf.predict, X)
assert_raises(NotFittedError, clf.decision_function, X)
clf.fit(X)
y_pred = clf.predict(X)
scores = clf.score_samples(X)
decisions = clf.decision_function(X)
assert_array_almost_equal(
scores, -clf.mahalanobis(X))
assert_array_almost_equal(clf.mahalanobis(X), clf.dist_)
assert_almost_equal(clf.score(X, np.ones(100)),
(100 - y_pred[y_pred == -1].size) / 100.)
assert(sum(y_pred == -1) == sum(decisions < 0))