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README.md

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# EDiT
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This project is a PyTorch implementation of EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees, published as a conference proceeding at [ICDM 2019](http://icdm2019.bigke.org/).
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This project is a PyTorch implementation of [EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees](docs/YooS19.pdf), published as a conference proceeding at [ICDM 2019](http://icdm2019.bigke.org/).
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This paper proposes a novel approach that distills the knowledge of an ensemble model to maximize the interpretability of soft decision trees (SDT) with fewer parameters.
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## Prerequisites
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## References
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You can download [this bib file](docs/YooS19.bib) or copy the following information:
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```
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@inproceedings{YooS19,
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author = {Jaemin Yoo and Lee Sael},

docs/YooS19.bib

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@inproceedings{YooS19,
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author = {Jaemin Yoo and Lee Sael},
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title = {EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees},
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booktitle = {IEEE International Conference on Data Mining (ICDM)},
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year = {2019}
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}

docs/YooS19.pdf

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