From 5ac90f25b3bd786dd43075793bd550f812b98de9 Mon Sep 17 00:00:00 2001 From: LewenWang Date: Wed, 25 Nov 2020 16:37:19 +0800 Subject: [PATCH] Add readme for tabnet. --- examples/benchmarks/TabNet/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/benchmarks/TabNet/README.md b/examples/benchmarks/TabNet/README.md index 8f37104aa..3a233df46 100644 --- a/examples/benchmarks/TabNet/README.md +++ b/examples/benchmarks/TabNet/README.md @@ -1,4 +1,4 @@ -#TabNet +# 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