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.
1 maintainer
Release files for eh-pytorch-tabnet 4.4.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| eh_pytorch_tabnet-4.4.0.tar.gz | 36.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| eh_pytorch_tabnet-4.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 78.2 kB
Release files / eh_pytorch_tabnet-4.4.0.tar.gz
| Download URL | eh_pytorch_tabnet-4.4.0.tar.gz |
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| Size | 36.1 kB |
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Release files / eh_pytorch_tabnet-4.4.0-py3-none-any.whl
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| Tags | Python 3 |
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