Get started

Install the library, run a first constrained model, and learn to read the guarantee it gives you.

pip install fair-seldonian

Python 3.10 or later. The core install pulls in NumPy, pandas, scikit-learn, SciPy and PyTorch; [plots] adds matplotlib for the figures and [notebook] adds JupyterLab for the example notebooks.

What it does and why

The problem Seldonian algorithms solve, what “high-confidence” means here, and why a refusal is a feature rather than a failure.

Introduction

Install and run

Installation, a worked example end to end, reading QSAResult and its diagnostics, and how to extend the framework to your own model.

Quickstart

• Introduction
  • Motivation
  • Problem Formulation
  • Framework Overview
  • Constraint Specification
  • Confidence Bound Propagation
• Quickstart
  • Installation
  • Running Experiments
  • Library Usage
  • Configuration
  • Extending the Framework