From 1e46ad2fbef2a8713ef559407afe176752d3a137 Mon Sep 17 00:00:00 2001 From: LewenWang Date: Wed, 25 Nov 2020 16:35:28 +0800 Subject: [PATCH] Add readme for tabnet. --- examples/benchmarks/TabNet/README.md | 4 ++++ 1 file changed, 4 insertions(+) create mode 100644 examples/benchmarks/TabNet/README.md diff --git a/examples/benchmarks/TabNet/README.md b/examples/benchmarks/TabNet/README.md new file mode 100644 index 000000000..8f37104aa --- /dev/null +++ b/examples/benchmarks/TabNet/README.md @@ -0,0 +1,4 @@ +#TabNet +* TabNet is a novel high-performance and interpretable canonical deep tabular data learning architectur. TabNet uses sequential attention to choose which features to reason from at each decision step, enabling interpretability and more effcient learning as the learning capacity is used for the most salient features. +* The code used in Qlib is a pyTorch implementation of Tabnet (Arik, S. O., & Pfister, T. (2019). [https://github.com/dreamquark-ai/tabnet](https://github.com/dreamquark-ai/tabnet) +* Paper: TabNet: Attentive Interpretable Tabular Learning. [https://arxiv.org/pdf/1908.07442.pdf](https://arxiv.org/pdf/1908.07442.pdf). \ No newline at end of file