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.
|Tags||Scientific/Engineering Artificial Intelligence|
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.
Release Notes: This version makes it possible to pass an iterator of tokens, and includes support for Divmod Quotient.
Release Notes: You can now "forget" training with Bayes.untrain().
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.
No changes have been submitted for this release.