'numpy.ndarray' 对象没有属性 'lower'

Question

I training model to classify articles by MultinomialNB

this code

X_train , X_test , y_train ,y_test = train_test_split(X,Y,test_size=0.1, random_state=42)
X_train.shape, X_test.shape, y_train.shape, y_test.shape


nb = Pipeline([('tfidf', TfidfVectorizer()),
               ('clf', MultinomialNB()),
              ])
nb.fit(X_train,y_train)

test_predict = nb.predict(X_test)

train_accuracy = round(nb.score(X_train,y_train)*100)
test_accuracy =round(accuracy_score(test_predict, y_test)*100)

the error:

'numpy.ndarray' object has no attribute 'lower'

Answer 1

The solution is to make sure that the input data is in the correct format. The TfidfVectorizer expects the input data to be in the form of a string or a list of strings. Therefore, you need to convert the numpy array to a string before feeding it into the vectorizer. This can be done using the numpy.array.tostring() function.