예제 #1
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def main():
    classifierID = 'naive_bayes_._' + sys.argv[1]
    input = sys.argv[2]
    path = home()
    classifier = load_classifiers(path, classifierID)
    common_suffixes = load_commons(path, 'common_suffixes')
    print classifier.classify(pos_features(common_suffixes, input))
예제 #2
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def main():
    classifierID = 'naive_bayes_._'+sys.argv[1]
    input = sys.argv[2]    
    path = home()    
    classifier = load_classifiers(path, classifierID)
    common_suffixes = load_commons(path, 'common_suffixes')
    print classifier.classify(pos_features(common_suffixes, input))
예제 #3
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def main():
    featuresID = sys.argv[1]
    train_naive_bayes(home(), featuresID)
    print featuresID
예제 #4
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def main():
        features_brown_news(home())
예제 #5
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def main():
    featuresID = sys.argv[1]
    train_decision_tree(home(), featuresID)
    print featuresID
예제 #6
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def main():
    featuresID = sys.argv[1]
    train_decision_tree(home(), featuresID)
    print featuresID