本文整理汇总了Python中sklearn.decomposition.DictionaryLearning.split_sign方法的典型用法代码示例。如果您正苦于以下问题：Python DictionaryLearning.split_sign方法的具体用法？Python DictionaryLearning.split_sign怎么用？Python DictionaryLearning.split_sign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.decomposition.DictionaryLearning的用法示例。
在下文中一共展示了DictionaryLearning.split_sign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_dict_learning_split
# 需要导入模块: from sklearn.decomposition import DictionaryLearning [as 别名]
# 或者: from sklearn.decomposition.DictionaryLearning import split_sign [as 别名]
def test_dict_learning_split():
n_atoms = 5
dico = DictionaryLearning(n_atoms, transform_algorithm='threshold')
code = dico.fit(X).transform(X)
dico.split_sign = True
split_code = dico.transform(X)
assert_array_equal(split_code[:, :n_atoms] - split_code[:, n_atoms:], code)示例2: test_dict_learning_split
# 需要导入模块: from sklearn.decomposition import DictionaryLearning [as 别名]
# 或者: from sklearn.decomposition.DictionaryLearning import split_sign [as 别名]
def test_dict_learning_split():
n_components = 5
dico = DictionaryLearning(n_components, transform_algorithm='threshold',
random_state=0)
code = dico.fit(X).transform(X)
dico.split_sign = True
split_code = dico.transform(X)
assert_array_equal(split_code[:, :n_components] -
split_code[:, n_components:], code)