Metadata-Version: 2.1
Name: CausalDisco
Version: 0.1.0
Summary: Baseline algorithms and analytics tools for Causal Discovery.
Keywords: causality,causal discovery
Author: Alexander G. Reisach, Sebastian Weichwald
Description-Content-Type: text/markdown
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Science/Research
Requires-Dist: numpy
Requires-Dist: scikit-learn

# CausalDisco 🪩

Baseline algorithms and analytics tools for Causal Discovery.

### Baseline Algorithms
Find the following baseline algorithms in __CausalDisco/baselines.py__
- R²-SortnRegress
- Var-SortnRegress

### Analytics tools
Find the following analytics tools in __CausalDisco/analytics.py__
- R²-sortability
- Var-sortability
- order_alignment

### Sources
If you find our algorithms useful please consider citing
```
@article{reisach2021beware,
  title={Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game},
  author={Reisach, Alexander G. and Seiler, Christof and Weichwald, Sebastian},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  year={2021}
}

@article{reisach2023simple,
  title={Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models},
  author={Reisach, Alexander G. and Tami, Myriam and Seiler, Christof and Chambaz, Antoine and Weichwald, Sebastian},
  journal={arXiv preprint arXiv:2303.18211},
  year={2023}
}
```
