Functionalities:
- Added a new functionality called
Tab2Vec
that given a trained model and a fitted Tabular Preprocessor it will return an input dataframe transformed into embeddings
TabFormers: Increased the Tabformer
(Transformers for Tabular Data) family
- Added a proper implementation of the FT-Transformer with Linear Attention (as introduced in the Linformer paper)
- Added a TabFastFormer model, an adaptation of the FastFormer for Tabular Data
- Added a TabPerceiver model, an adaptation of the Perceiver for Tabular Data
Docs
- Refined the docs to make them cleared and fix a few typos