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I am trying to use LinearSVC classifier

Update: Added imports

import nltk
from nltk.tokenize import word_tokenize
from nltk.classify.scikitlearn import SklearnClassifier
from sklearn.svm import LinearSVC, SVC

LinearSVC_classifier = SklearnClassifier(LinearSVC())
LinearSVC_classifier.train(featuresets)

But when I am trying to classify it with probabilities

LinearSVC_classifier.prob_classify(feats)

AttributeError occurs:

AttributeError:'LinearSVC' object has no attribute 'predict_proba'

I checked sklearn documentation, it tells that this function exist.

How to fix that?

Answers

According to sklearn documentation , the method 'predict_proba' is not defined for 'LinearSVC'

Workaround:

LinearSVC_classifier = SklearnClassifier(SVC(kernel='linear',probability=True))

Use SVC with linear kernel, with probability argument set to True. Just as explained in here .