Jrzaurin/perceiver

Added docs. Re-design Additive Atttention accoring to their code. Add a few details on the docs and fix a typo

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Added a proper implementation of transformer models when needed and re-organised the transformers module for clarity

First commit towards the perceiver. Changed modularity so that embeddings are consistent accross models. Adding the perceiver also forced me to change the structure of the TabTransformer and SAINT

Saint

Added cont norm options for all tabular models. Optimize cat embed for transformer models. Adjusted tab preprocessors for transformer models.

Added option for custom dataloader and the possibility of using metrics from torchmetrics

Fixed a series of breaking changes related to the metrics returning arrays. Adapted docs to the new functionalities

I kept almost all previous code as it was, I just added functionality for custom dataloaders and possibility to use torchmetrics

Tabnet

Specified python 3.7 version to avoid a test fail when using travis that I cannot reproduce locally neither on the mac or on a ubuntu machine

Specified python 3.7 version to avoid a test fail when using travis that I cannot reproduce locally neither on the mac or on a ubuntu machine

Refined documentation. Added some test for saving model. Added an example notebook. Ready to test installations and publish v1 to pypi