fafa0d446b657f2261b9676a229e975f2ed9db2d,qanta/guesser/classify/learn_classifiers.py,,evaluate,#Any#Any#Any#Any#,113

Before Change

                protocol=pickle.HIGHEST_PROTOCOL)

    train_accuracy = nltk.classify.util.accuracy(classifier, train_vector)
    test_accuracy = nltk.classify.util.accuracy(classifier, test_vector)
    log.info("accuracy train: {0}".format(train_accuracy))
    log.info("accuracy test: {0}".format(test_accuracy))

After Change

    test_feats = []
    test_labels = []
    for e in test_vector:
         test_feats.append(e[0])
         test_labels.append(e[1])

    classifier = OneVsRestClassifier(LogisticRegression(C=10), n_jobs=-1)
    classifier.fit(train_feats, train_labels)

    pickle.dump(classifier, open(DEEP_DAN_CLASSIFIER_TARGET, "wb"),

Instances