v0.60

New Features

• Support modular designs for embedding and backbone module.
  The currently supported modules are:
  • Embedding modules:
    identity
feature_tokenizer (from Revisiting Deep Learning Models for Tabular Data)
  • Backbone modules:
    mlp
transformer

Enhancements

• Split reconstruction head for DAE and VIME: Implement separate reconstruction heads for categorical and continuous features, enhancing the handling of heterogeneous data.