utils.py 文件源码

def log_false_positives(clf, X, y, name):
    with open("FP_" + name.replace(" ", "_") + ".tsv", "w") as f:
        false_positive = clf.predict(X) != y
        for tweet, false_class in zip(X[false_positive], y[false_positive]):
            f.write("%s\t%s\n" %
                    (false_class, tweet.encode("ascii", "ignore")))