perpetual-ml/perpetual

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

5 best points · 0 comments · 3 Hacker News posts · 717 GitHub stars · View on GitHub

Hacker News discussions

• Show HN: A self-generalizing, hyperparameter-free gradient boosting machine (5 points, 0 comments, by deadsoul, 2024-06-09)
• Perpetual: Self-generalizing gradient boosting machine algorithm (2 points, 0 comments, by thunderbong, 2024-07-23)
• Perpetual: A self-generalizing gradient boosting machine (2 points, 0 comments, by foltik, 2024-09-27)