Bayesian spam filtering library for Python

Question

I am looking for a Python library which does Bayesian Spam Filtering. I looked at SpamBayes and OpenBayes, but both seem to be unmaintained (I might be wrong).

Can anyone suggest a good Python (or Clojure, Common Lisp, even Ruby) library which implements Bayesian Spam Filtering?

Thanks in advance.

Clarification: I am actually looking for a Bayesian Spam Classifier and not necessarily a spam filter. I just want to train it using some data and later tell me whether some given data is spam. Sorry for any confusion.

Answer 1

Do you want spam filtering or Bayesian classification?

For Bayesian classification there are a number of Python modules. I was just recently reviewing Orange which looks very impressive. R has a number of Bayesian modules. You can use Rpy to hook into R.

Answer 2

Try Reverend. It's a spam filtering module.

Answer 3

RedisBayes looks good to me:

http://pypi.python.org/pypi/redisbayes/0.1.3

In my experience Redis is an awesome addition to your stack and can help process data at blazing fast speeds compared to MySQL, PostgreSQL or any other RDBMS.

import redis, redisbayes
rb = redisbayes.RedisBayes(redis=redis.Redis())

rb.train('good', 'sunshine drugs love sex lobster sloth')
rb.train('bad', 'fear death horror government zombie god')

assert rb.classify('sloths are so cute i love them') == 'good'
assert rb.classify('i fear god and love the government') == 'bad'

print rb.score('i fear god and love the government')

rb.untrain('good', 'sunshine drugs love sex lobster sloth')
rb.untrain('bad', 'fear death horror government zombie god')

Hope that helps a bit.