我正在使用gensim doc2vec,如下所示。
from gensim.models import doc2vec
from collections import namedtuple
import re
my_d = {'recipe__001__1': 'recipe 1 details should come here',
'recipe__001__2': 'Ingredients of recipe 2 need to be added'}
docs = []
analyzedDocument = namedtuple('AnalyzedDocument', 'words tags')
for key, value in my_d.items():
value = re.sub("[^a-zA-Z]"," ", value)
words = value.lower().split()
tags = key
docs.append(analyzedDocument(words, tags))
model = doc2vec.Doc2Vec(docs, size = 300, window = 10, dm=1, negative=5, hs=0, min_count = 1, workers = 4, iter = 20)
然而,当我检查时
model.docvecs.offset2doctag
我明白了
['r', 'e', 'c', 'i', 'p', '_', '0', '1', '2']
作为输出。实际输出应为“recipe\uu 001\uu 1”和“recipe\uu 001\uu 2”。
当我使用
len(model.docvecs.doctag_syn0)
我明白了
9
作为输出。但真正的价值应该是
2
请告诉我,为什么会这样?