nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

Follow nBoost

nBoost Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of nBoost!

Additional Project Details

Intended Audience

Advanced End Users, Science/Research

User Interface

Command-line

Programming Language

MATLAB, Python

Related Categories

MATLAB Artificial Intelligence Software, MATLAB Information Analysis Software, Python Artificial Intelligence Software, Python Information Analysis Software

Registered

2008-01-12