在larsmans代码的帮助下，我想到了以下二进制情况的代码：
def show_most_informative_features(vectorizer, clf, n=20): feature_names = vectorizer.get_feature_names() coefs_with_fns = sorted(zip(clf.coef_[0], feature_names)) top = zip(coefs_with_fns[:n], coefs_with_fns[:-(n + 1):-1]) for (coef_1, fn_1), (coef_2, fn_2) in top: print "t%.4ft%-15stt%.4ft%-15s" % (coef_1, fn_1, coef_2, fn_2)
