Python create_to_matrix Examples

Example #1

File: practice2.py Project: araki214/0-Deeplearning2

#手作り
C=np.array([
[0,1,0,0,0,0,0],
[1,0,1,0,1,1,0],
[0,1,0,1,0,0,0],
[0,0,1,0,1,0,0],
[0,1,0,1,0,0,0],
[0,1,0,0,0,0,1],
[0,0,0,0,0,1,0],
],dtype=np.int32)
print(C[0])
print(C[4])
print(C[wordtoid['goodbye']])

vocab_size=len(wordtoid)
C=create_to_matrix(corpus,vocab_size,window_size=1)

#similarity
c0=C[wordtoid['you']]
c1=C[wordtoid['i']]
print(cos_similarity(c0,c1))

#most_similar
most_similar('you',wordtoid,idtoword,C,top=5)

#ppmi
W=ppmi(C)

np.set_printoptions(precision=3)
print('covariance matrix')
print(C)

Example #2

File: most_similar.py Project: YunagiNagi/Python_AI

import sys
sys.path.append('c:\\Users\\ryosh\\Python\\learn')
from common.util import preprocess, create_to_matrix, most_similar

text = 'You say goodbye and I say hello.'
corpus, word_to_id, id_to_word = preprocess(text)
vocab_size = len(word_to_id)
C = create_to_matrix(corpus, vocab_size)

most_similar('you', word_to_id, id_to_word, C, top=5)