CISS-VAE

Contents:

  • CISS-VAE Quickstart
  • How to use CISS-VAE
  • Running the CISS-VAE Model
  • Hyperparameter Tuning with Optuna
  • Saving and loading models
  • Handling binary data columns
  • Handling Categorical Data Columns
  • Using create_missingness_prop_matrix: A Complete Guide
  • Integration with sample clustering
  • Integration w/ CISS-VAE pipeline
  • Full workflow
  • Avoiding undesired imputation of certain missing data
  • API Reference
CISS-VAE
  • Overview: module code

All modules for which code is available

  • ciss_vae.classes.cluster_dataset
  • ciss_vae.classes.vae
  • ciss_vae.data
  • ciss_vae.training.autotune
  • ciss_vae.training.run_cissvae
  • ciss_vae.training.train_initial
  • ciss_vae.training.train_refit
  • ciss_vae.utils.clustering
  • ciss_vae.utils.helpers
  • ciss_vae.utils.loss
  • ciss_vae.utils.matrix

© Copyright 2025, Yasin Khadem Charvadeh, Danielle Vaithilingam, Kenneth Seier, Katherine S. Panageas, Mithat Gönen, Yuan Chen.

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