Release Notes: Speedups were made, and an overflow problem for those with very large internally generated buffers has been fixed. The .css files for spam filtering have further learning in them and are now approaching a level of accuracy close to the author's own accuracy in determining spam v. nonspam
Release Notes: Improvements in spam tagging and mail system integration, better sparse spectra files for the Bayesian sorter, a cssutil utility to manage the css (Crm Sparse Spectra) files, and numerous bugfixes and de-idiotifications. Currently, the accuracy on the author's spam mix is 99.7%+, with feedback to the learning system required only when the system makes the occasional error.
Release Notes: This release contains the long-awaited sparse spectral mail filter, which is a learning filter based on Bayesian classification of phrases. It allows users to submit things they consider "blacklist", "whitelist", "spam", and "nonspam" just by mailing to themselves with a control password. Baseline setup files are included for user mode installation. Additional functionality and an embarrassingly large number of bugfixes are other bonuses.
Release Notes: More features were added. A bug in the WINDOW code and another bug in the preprocessor were fixed.
Release Notes: New features include separate submatchings for each captured variable, much faster windowing, an explicit default window named :_data_window_:, and latent code for auto-resizing window buffers as needed. Examples are now more explicit and a whole slew of regression tests are included.