機械学習の辞書学習DictionaryLearning
1363 ワード
# -*- coding: utf-8 -*-
"""
Created on Sun Dec 9 13:00:52 2018
@author: muli
"""
from sklearn.decomposition import DictionaryLearning
def test_DictionaryLearning():
'''
DictionaryLearning
:return: None
'''
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))
if __name__=='__main__':
test_DictionaryLearning() # test_DictionaryLearning
import numpy as np
A= [[ 0. , 0. , -7.39987319],
[ 0. , 0. , -17.80675663],
[-18.16560383 , 0. , 0. ],
[ 0. , -7.41619849 , 0. ]]
B=[[-0.5473499 , -0.49408716 ,-0.44082441, -0.38756166, -0.33429892],
[-0.67419986 ,-0.53935989 ,-0.40451992, -0.26967994, -0.13483997],
[-0.18512671 ,-0.30070103, -0.41627534, -0.53184965 ,-0.64742396]]
#C=np.dot(A,np.transpose(B))
#C=np.dot(np.transpose(B),np.transpose(A)).
C=np.dot(A,B)
print(C)