Honest Uncertainty and Cause
conformal prediction, active learning, auto feature engineering, causal inference
The main Python library, tests, releases, examples, and documentation source.
Open →The installable BreezeML package on PyPI, currently aligned with the latest release.
Open →Reference material, guides, and project documentation living with the source.
Open →conformal prediction, active learning, auto feature engineering, causal inference
significance testing, multi-output, recommenders, survival analysis
audit, fairness, imbalance, blend, track, anomaly, semi-supervised, CLI
layered architecture and guide()
zen(), haiku(), fortune(), sensei()
export, model cards, deploy, MCP server, dependency contract