autotab
Variational Autoencoders for Heterogeneous Tabular Data
Build and train a variational autoencoder (VAE) for mixed-type tabular data (continuous, binary, categorical). Models are implemented using 'TensorFlow' and 'Keras' via the 'reticulate' interface, enabling reproducible VAE training for heterogeneous tabular datasets.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
2026-04-09 windows/windows R-4.5 | autotab_1.0.zip |
201.1 KiB |