我正在尝试运行以下代码，但在执行 pipe['count'] 时出现“Pipeline”对象不可下标的错误。
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.pipeline import Pipeline
import numpy as np
corpus = ['this is the first document',
'this document is the second document',
'and this is the third one',
'is this the first document']
vocabulary = ['this', 'document', 'first', 'is', 'second', 'the',
'and', 'one']
pipe = Pipeline([('count', CountVectorizer(vocabulary=vocabulary)),
('tfid', TfidfTransformer())]).fit(corpus)
pipe['count'].transform(corpus).toarray()
array([[1, 1, 1, 1, 0, 1, 0, 0],
[1, 2, 0, 1, 1, 1, 0, 0],
[1, 0, 0, 1, …