吴裕雄 python 机器学习——数据预处理字典学习模型

from sklearn.decomposition import DictionaryLearning

#数据预处理字典学习DictionaryLearning模型
def test_DictionaryLearning():
    X=[[1,2,3,4,5],
       [6,7,8,9,10],
       [10,9,8,7,6,],
       [5,4,3,2,1]]
    print("before transform:",X)
    dct=DictionaryLearning(n_components=3)
    dct.fit(X)
    print("components is :",dct.components_)
    print("after transform:",dct.transform(X))
    
# 调用 test_DictionaryLearning
test_DictionaryLearning() 

from sklearn.decomposition import MiniBatchDictionaryLearning

#数据预处理字典学习MiniBatchDictionaryLearning模型
def test_MiniBatchDictionaryLearning():
    X=[[1,2,3,4,5],
       [6,7,8,9,10],
       [10,9,8,7,6,],
       [5,4,3,2,1]]
    print("before transform:",X)
    dct=DictionaryLearning(n_components=3)
    dct.fit(X)
    print("components is :",dct.components_)
    print("after transform:",dct.transform(X))
    
# 调用 test_MiniBatchDictionaryLearning
test_MiniBatchDictionaryLearning()