An Analysis of the Adaptation Speed of Causal Models

Code to reproduce results of the paper. Dependencies are indicated in environment.yaml.

To get categorical adaptation plots run

python main.py categorical adaptation
python main.py categorical plot

To get scatter plots of distance: anti vs causal run

python main.py normal distance

To get adaptation results run

python main.py normal adaptation
python main.py normal plot

Name		Name	Last commit message	Last commit date
Latest commit History 169 Commits
categorical		categorical
normal_pkg		normal_pkg
.gitignore		.gitignore
10_normal_results.ipynb		10_normal_results.ipynb
1_gaussian_analytics.ipynb		1_gaussian_analytics.ipynb
2_softargmax_wishart_distances.ipynb		2_softargmax_wishart_distances.ipynb
3_failure_space.ipynb		3_failure_space.ipynb
4_dirichlet.ipynb		4_dirichlet.ipynb
5_MAP_ASGD.ipynb		5_MAP_ASGD.ipynb
6_exponential_precision_matrix.ipynb		6_exponential_precision_matrix.ipynb
7_investigate_joint.ipynb		7_investigate_joint.ipynb
8_IRM.ipynb		8_IRM.ipynb
9_predoc.ipynb		9_predoc.ipynb
LICENSE		LICENSE
README.md		README.md
__init__.py		__init__.py
averaging_manager.py		averaging_manager.py
environment.yaml		environment.yaml
main.py		main.py
simplex.py		simplex.py

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