机器学习预测另一个值

Question

I'm really new at ML. I trained my dataset then I save it with pickle. My trained dataset has text and value. I'm trying to get an estimate from my new dataset, which has only text.

However, when I try to predict new values with my trained data, I'm getting an error, which says

ValueError: Number of features of the model must match the input. Model n_features is 17804 and input n_features is 24635

You can check my code below. What I have to do at this point?

    with open('trained.pickle', 'rb') as read_pickle:
        loaded=pickle.load(read_pickle)

    dataset2 = pandas.read_csv('/root/Desktop/predict.csv' , encoding='cp1252')
    X2_train=dataset2['text']
    train_tfIdf = vectorizer_tfidf.fit_transform(X2_train.values.astype('U'))
    x = loaded.predict(train_tfIdf)
    print(x)

Answer 1

fit_transform fits to the data and then transforms it, which you don't want to do while testing. It is like retraining the tfidf. So, for the purpose of prediction, I would suggest using the transform method simply.