README
TabNet : Attentive Interpretable Tabular Learning
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this is maintained fork version of dreamquark-ai/tabnet with some changes and improvements.
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it uses pytorch metrics instead of numpy metrics, and also enhanced predictions & evaluation for GPU CUDA enhancement.
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expect more changes in the future.
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for the record and license policy assume everything is changed.
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thanks & credits to dreamquark-ai team for the implementation and research.
This is a pyTorch implementation of Tabnet (Arik, S. O., & Pfister, T. (2019). TabNet: Attentive Interpretable Tabular Learning. arXiv preprint arXiv:1908.07442.) https://arxiv.org/pdf/1908.07442.pdf. Please note that some different choices have been made overtime to improve the library which can differ from the orginal paper.
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Release files for eh-pytorch-tabnet 4.4.0
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