setup environment

1. conda env create -f env.yml -n cte
2. conda activate cte
3. pip install git+https://github.com/AI4LIFE-GROUP/OpenXAI --no-dependencies
4. pip install keras -U // keras>=3.0 needs to be installed after conda install tensorflow==2.15.0 in env.yml

run experiments

• figure_2_and_4.py, figure_6.py, figure_3_and_9-12_cte.py & figure_3_and_9-12_gt.py (minus gmsc) can be run on a personal computer
• results for the gmsc dataset in figure_3_and_9-12_cte.py & figure_3_and_9-12_gt.py may require a cluster / parallel computation
• cluster / slurm: s_batch.py runs sbatch s_batch.sh that runs figure_5_7_8_13_15-24.py for each dataset-method pair