---
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](https://arxiv.org/abs/2509.19884)  
**Official Code:** [github.com/facebookincubator/MCGrad](https://github.com/facebookincubator/MCGrad)  
**Documentation:** [mcgrad.dev](https://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
```bash
pip install mcgrad
```
## Getting started
See [mcgrad.dev](https://mcgrad.dev)