def main():
#before_release
movie_info_before_release = load_movie_info_before_release()
print '***Before release***'
X = create_input(movie_info_before_release)
Y = create_output_before_release(movie_info_before_release)
clf = linear_model.SGDClassifier(loss='log')
test_classifier(clf, X, Y, 'before_release')
clf = GaussianNB()
test_classifier(clf, X, Y, 'before_release')
clf = RandomForestClassifier(n_estimators=10, max_depth=10)
test_classifier(clf, X, Y, 'before_release')
#After release
movie_info = load_movie_info()
print '***After release***'
X = create_input(movie_info)
Y = create_output(movie_info)
clf = linear_model.SGDClassifier(loss='log')
test_classifier(clf, X, Y, 'after_release')
clf = GaussianNB()
test_classifier(clf, X, Y, 'after_release')
clf = RandomForestClassifier(n_estimators=10, max_depth=10)
test_classifier(clf, X, Y, 'after_release')
imdb_success_predictor.py 文件源码
python
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