Projects / Reverend


Reverend is a general purpose Bayesian classifier written in Python. It is designed to be easily adapted for your application and is not tied to email.


Recent releases

  •  06 Oct 2003 01:44

    Release Notes: This release adds functionality requested by users. There are utility methods for removing, renaming, and merging Pools: removePool(), renamePool(), and mergePools(). There are also utility methods for inspecting pool data, poolData() and poolTokens(). All of these methods take pool names as arguments.

    •  02 Sep 2003 11:38

      Release Notes: This version makes it possible to pass an iterator of tokens, and includes support for Divmod Quotient.

      •  18 Aug 2003 09:26

        Release Notes: You can now "forget" training with Bayes.untrain().

        •  19 Jun 2003 08:37

          Release Notes: This version now includes a basic, general purpose, training, and testing UI written in Tkinter. It is also more pluggable, affording more flexibility in how the raw statistical data is stored, e.g. backing it with a SQL DB.

          •  20 May 2003 01:20

            No changes have been submitted for this release.


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