metadata
license: mit
library_name: generic
pipeline_tag: tabular-classification
tags:
- fairness
- calibration
- multicalibration
- gradient-boosting
- gbdt
- decision-trees
- trustworthy-ai
- tabular
- risk-assessment
- risk
arxiv: '2509.19884'
model-index:
- name: MCGrad
results: []
MCGrad: Multicalibration at Web Scale
Production-ready multicalibration for machine learning. Developed by Meta. Accepted at KDD 2026.
Paper: arXiv:2509.19884
Official Code: github.com/facebookincubator/MCGrad
Documentation: mcgrad.dev
Overview
MCGrad is a library for production-ready multicalibration. It ensures your ML model predictions are well-calibrated not just globally, but across virtually any segment defined by your features.
Installation
pip install mcgrad
Getting started
See mcgrad.dev