爲什麼下面的tfidf矢量化失敗了？

Question

你好，我想提出以下的實驗中，首先我創建了一個名爲矢量器：TFIDF：

tfidf_vectorizer = TfidfVectorizer(min_df=10,ngram_range=(1,3),analyzer='word',max_features=500) 

然後我向量化以下列表：

tfidf = tfidf_vectorizer.fit_transform(listComments) 

我的評論列表如下所示：

listComments = ["hello this is a test","the car is red",...] 

我試着保存模型如下：

#Saving tfidf 
with open('vectorizerTFIDF.pickle','wb') as idxf: 
    pickle.dump(tfidf, idxf, pickle.HIGHEST_PROTOCOL) 

我想用我的矢量器相同的TFIDF適用於以下列表：

lastComment = ["this is a car"] 

開場模特：

with open('vectorizerTFIDF.pickle', 'rb') as infile: 
    tdf = pickle.load(infile) 

vector = tdf.transform(lastComment) 

但是我得到：

Traceback (most recent call last): 
    File "C:/Users/LDA_test/ldaTest.py", line 141, in <module> 
    vector = tdf.transform(lastComment) 
    File "C:\Program Files\Anaconda3\lib\site-packages\scipy\sparse\base.py", line 559, in __getattr__ 
    raise AttributeError(attr + " not found") 
AttributeError: transform not found 

我希望有人能夠提前在此提前感謝我支持我，

Answer 1

你醃矢量化陣列，沒有變壓器，則需要pickle.dump(tfidf_vectorizer, idxf, pickle.HIGHEST_PROTOCOL)