NLP - 'SklearnClassifier' object has no attribute 'fit' / Python
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I am trying to write a hate speech detection code but i am stuck with a problem. I am getting the error
SklearnClassifier' object has no attribute 'fit' I am looking from source which used pyhton 2 but I am using python 3 maybe the problem occurs because of this but I couldn't solve this. How can I fix this problem ?
training_set = nltk.classify.apply_features(extract_features, train_tweets) classifier = nltk.NaiveBayesClassifier.train(training_set) from sklearn.ensemble import AdaBoostClassifier from nltk.classify.scikitlearn import SklearnClassifier # SKlearn Wrapper classifier = SklearnClassifier(LinearSVC()) classifier.fit(X_train, X_test) predicted_labels = [classifier.classify(extract_features(tweet)) for tweet in test_tweets]
Shot in the dark here, but this documentation mentions a function called "train" instead of "fit"; maybe that's your issue: https://www.nltk.org/_modules/nltk/classify/scikitlearn.html
Also, are you sure passing the second argument (X_test) is correct here? It's not normal with classifiers, as you should only be passing the training data in that step, and the documentation doesn't mention it either.
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As far as I can see, it should be
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Try this, it should work:
classifier = SklearnClassifier(LinearSVC())
classifier = classifier.fit(X_train, X_test)
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- also, it should be (x_train,y_train) as Christoph pointed out.