Causal discovery with GPT

content

data folder with descriptions of causal discovery problems and eventually datasets
gptci python module that implement CI testing via GPT queries
.env.example example of needed environemntal variables

tested with python3.10

python -m venv env )
source env/bin/activate
pip install -r requirements.txt
cp .env.example .env generate the .env file
add your openai API key into the .env file (.env is already ignored in the .gitignore file but doubel check you are not pushing it)
python example.py to run a simple example
For running a specific CI test var1, var2| (var3, var4,...) in the context of a specific YAML_FILE python scripts/ci_test.py data/YAML_FILE var1 var2 [var3] [var4] ...
For running evaluations on a specific data use python scripts/evaluate_cis.py data/FILE --random R --n N to run on R randomly sampled ci statements with N repeated answers from the model. [check python scripts/evaluate_cis.py --help for the full list of options]