CompML Documentation

CompML is a Python library for comparing Machine Learning algorithms through frequentist and Bayesian statistical procedures.

This site contains practical guides and API reference material.

User Guide

• Installation
  • Requirements
  • Install with uv (recommended)
  • Install with pip
  • Verify installation
• Quick Start
  • Next steps
• Procedures
  • Frequentist tests
  • Frequentist post-hoc
  • Bayesian tests and post-hoc
• Scikit-Learn Workflow
• Report Generation

API Reference

• API Reference
  • compml.frequentist
  • compml.bayesian
  • compml.evaluation_scores
  • compml.report
  • compml.results
  • compml.sklearn_utils