Tanay Wakhare, Andrew Witten, Sashank Thupukari
The data is stored in the /data directory. The main IPython notebook downloads the data to this directory.
Simply run the credit_card.ipynb Jupyter Notebook, or run main.py from the command line.
jupyter notebook
# open credit_card.ipynb
python main.py > output.txt
tail -f output.txt
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| [2] Goodfellow, Ian, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. "Generative adversarial nets." In Advances in neural information processing systems, pp. 2672-2680. 2014.
| [3] Sattigeri, Prasanna, Samuel C. Hoffman, Vijil Chenthamarakshan, and Kush R. Varshney. "Fairness gan." arXiv preprint arXiv:1805.09910 (2018).
| [4] Xu, Depeng, Shuhan Yuan, Lu Zhang, and Xintao Wu. "Fairgan: Fairness-aware generative adversarial networks." In 2018 IEEE International Conference on Big Data (Big Data), pp. 570-575. IEEE, 2018.
| [5] Yeh, I-Cheng, and Che-hui Lien. "The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients." Expert Systems with Applications 36, no. 2 (2009): 2473-2480.
| [6] Cabrera, Gupta, Epperson. "ICLR Reproducibility Challenge: Generative Adversarial Models For Learning Private And Fair Representations"