__initüuu（）获得意外的关键字参数“stop峎words”

Question

我试图使用scikit learn版本0.14.1计算tf-idf。我的密码是：

from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from nltk.corpus import stopwords
import numpy as np
import numpy.linalg as LA

train_set = ["The sky is blue.", "The sun is bright."] #Documents
test_set = ["The sun in the sky is bright sun."] #Query
stopWords = stopwords.words('english')

vectorizer = CountVectorizer(stop_words = stopWords)
#print vectorizer
transformer = TfidfTransformer() 
#print transformer

trainVectorizerArray = vectorizer.fit_transform(train_set).toarray()
testVectorizerArray = vectorizer.transform(test_set).toarray()
print 'Fit Vectorizer to train set', trainVectorizerArray
print 'Transform Vectorizer to test set', testVectorizerArray

transformer.fit(trainVectorizerArray)
print
print transformer.transform(trainVectorizerArray).toarray()

transformer.fit(testVectorizerArray)
print
tfidf = transformer.transform(testVectorizerArray)
print tfidf.todense()

我有个错误：

^{pr2}$

我不明白“停止语”有什么问题，需要帮助吗？在

Answer 1

所以这个错误是我的，我跟随一个在线教程安装了sklearn，得到了0.10版本。根据这个错误，我认为sklearn 0.10版不支持stop_words。 更新到版本0.14.1后，它工作正常！！在