DoWhy
DoWhy: A Python package for causal inference. DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
Sorted by year (- Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tianyu Wang, Marco Morucci, Pritam Dey, Thomas J. Howell, Xian Sun, Angikar Ghosal, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky: dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference (2021) arXiv
- Santtu Tikka, Antti Hyttinen, Juha Karvanen: Incomplete Data Sources: A General Search-Based Approach (2021) not zbMATH