Ejemplo n.º 1
0
def looks_like_spam(message, config, section):
    log.info("Checking message for spam...")
    log.debug(message)
    pickle_filename = config.get(section, 'spam.pickle_file')
    min_spam_prob = config.getfloat(section, 'spam.min_spam_prob') or 0.90

    log.debug("Loading pickle from %s", pickle_filename)
    bayes = PickledClassifier(pickle_filename)

    spamprob = bayes.chi2_spamprob(message)

    if spamprob >= min_spam_prob:
        log.debug("spamprob %s >= %s, probably spam", spamprob, min_spam_prob)
        return True

    log.debug("spamprob %s <= %s, probably not spam", spamprob, min_spam_prob)
    return False
Ejemplo n.º 2
0
def looks_like_spam(message, config, section):
    log.info("Checking message for spam...")
    log.debug(message)
    pickle_filename = config.get(section, 'spam.pickle_file')
    min_spam_prob = config.getfloat(section, 'spam.min_spam_prob') or 0.90

    log.debug("Loading pickle from %s", pickle_filename)
    bayes = PickledClassifier(pickle_filename)

    spamprob = bayes.chi2_spamprob(message)

    if spamprob >= min_spam_prob:
        log.debug("spamprob %s >= %s, probably spam", spamprob, min_spam_prob)
        return True

    log.debug("spamprob %s <= %s, probably not spam", spamprob, min_spam_prob)
    return False