CausalIQ Research¶
Welcome¶
Welcome to the documentation for CausalIQ Research which is a curated collection of experimental setups, benchmark datasets, and published results that enable reproducible research and method comparison in the field of causal discovery and inference. It is part of the CausalIQ ecosystem for intelligent causal discovery and inference.
Overview¶
This site provides detailed documentation, including:
- Development roadmap
- User guide
- Architectural vision
- Design notes
- API reference for users and contributors
Quickstart & Installation¶
For a quickstart guide and installation instructions, see the README on GitHub.
Documentation Contents¶
- Development Roadmap: roadmap of upcoming features
- User Guide: comprehensive user guide
- Architecture: overall architecture and design notes
- API Reference: complete reference for Python code
- Development Guidelines: CausalIQ guidelines for developers
- Changelog
- License
Support & Community¶
- GitHub Issues: Report bugs or request features.
- GitHub Discussions: Ask questions and join the community.
Tip:
Use the navigation sidebar to explore the documentation.
For the latest code and releases, visit the causaliq-research GitHub repository.
Supported Python Versions: 3.9, 3.10, 3.11, 3.12
Default Python Version: 3.11