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SkylineCF

code for paper Skyline of Counterfactual Explanations (CIKM 2021)

Requirements

pip install numpy, pandas, pytorch, sklearn

Getting Start

  • The cf/ folder contains the a series of CF methods, includign skylineCF in our paper.
  • data/ folder contains the datasets used.
  • model folder consists of the interface for loading the pretrained model.
  • util folder includes the interface for loading data, skyline operator used in our paper.
  • weights folder covers the weights of pretrained model on three datasets.
  • test folder comprise the how to generate the counterfactual explaantions for our method and baselines.
  • mlp_* files show how to train the models.

How to Cite

@inproceedings{wang2021skyline,
  title={The Skyline of Counterfactual Explanations for Machine Learning Decision Models},
  author={Wang, Yongjie and Ding, Qinxu and Wang, Ke and Liu, Yue and Wu, Xingyu and Wang, Jinglong and Liu, Yong and Miao, Chunyan},
  booktitle={Proceedings of the 30th ACM International Conference on Information \& Knowledge Management},
  pages={2030--2039},
  year={2021}
}

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