v1.0.9: The TabFormer Family Grows

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