ConeOpt is a Python package that implements an optimization based conterfactual explanations for any machine learning estimator.
- Create a Python env adn then activate it.
conda create -p ./env39 python=3.9 --yes
conda activate ./env39- To install reuqired packages, use:
pip install -r requirements.txt- To test ConeOpt, run notebook and open the file:
POC2.ipynb.
jupyter notebook- To test Alibi, follow the instruction here to install the package. Then open
alibi/examples/cfproto_mnist.ipynbto test the Counterfactual Analysis. Detailed explanation of the implementaiton can be found here.
Other related documentations can be found here.