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Feature Embedding #507

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19 changes: 19 additions & 0 deletions README.md
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This draft PR is focused on Feature Embedding

**Feature request**

As requested by some, and as @ekamioka started on this PR #244. It might be interesting to get some helper functions to use embeddings as it's not the simplest concept in deep learning.

**What is the expected behavior?**
Calling a few helper function to get all the correct parameters before using TabNet.

**#What is motivation or use case for adding/changing the behavior?**
I think this would make things easier and help a lot of people.

**How should this be implemented in your opinion?**
Clean and clear, might be available in a helper.py file, completely independent of the rest of the code.





# README

# TabNet : Attentive Interpretable Tabular Learning
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