R: Supervised Variational Autoencoder Regression via 'reticulate'

# Supervised Variational Autoencoder Regression via 'reticulate'

## Documentation for package ‘soilVAE’ version 0.1.9

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

datsoilspc | Soil spectroscopy example dataset used in the soilVAE vignettes
select_best_from_grid | Select the best configuration from a tuning table
tune_vae_train_val | Tune VAEReg on a train/validation split
vae_build | Build a supervised VAE regression model (VAEReg)
vae_configure | Configure Python / reticulate for soilVAE
vae_encode | Extract latent embeddings (z) from VAEReg
vae_fit | Fit VAEReg
vae_predict | Predict y using VAEReg (via latent z -> y_head)