Anchor experiments

This repository has code for replicating the experiments in High-Precision Model-Agnostic Explanations.

If you actually want to try anchors, use the code in this repository instead.

Installation

Inside a virtualenv, run:

pip install lime==0.1.1.29 sklearn matplotlib seaborn numpy argparse xgboost==0.4a30

Run:

python run_compute_explanations.py
python run_process_results.py
python make_graphs_and_table.py

Results will be in folder results

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
datasets		datasets
results		results
README.md		README.md
__init__.py		__init__.py
anchor_base.py		anchor_base.py
anchor_tabular.py		anchor_tabular.py
compute_explanations.py		compute_explanations.py
functions for explanations.ipynb		functions for explanations.ipynb
functions_for_explanation_david.ipynb		functions_for_explanation_david.ipynb
make_graphs_and_table.py		make_graphs_and_table.py
process_results.py		process_results.py
run_compute_explanations.py		run_compute_explanations.py
run_process_results.py		run_process_results.py
utils.py		utils.py