I am currently rebuilding Bear. ETA is late 2026. Apologies.
Bear is a new free and open source machine learning algorithm that I have developed as a personal hobby since 2008.
It brought Sally and me to America!
Bear finds statistically significant dependencies between features and labels to build forests of piecewise constant models.
Leave-one-out cross-validation is baked in, automatic, and free, for any arbitrarily large sample size.
Bear is thus a Monte Carlo algorithm similar to random forests, but with a different core philosophy and algorithm.
A quick guide to building and running my free and open source ANSI C implementation of Bear is here.
These Bear pages describe personal hobby research that I have undertaken since 2008.
All opinions are mine alone. All code is from my personal codebase, supplied under the MIT-0 License.
© 2008–2026 John Costella