Factual package intelligence from PyPI

CISS-VAE 1.1.2 package intelligence

Clustering-Informed Shared-Structure Variational Autoencoder (CISS-VAE) for Missing Data Imputation

pip install ciss-vae

Current version
1.1.2
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
128.7 KiB
Release history
9 releases with files
Median release cadence
11 days

CISS-VAE dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.22
  2. pandas >=2.0
  3. torch >=2.10
  4. optuna >=4.3
  5. rich
  6. typing
  7. matplotlib
  8. scikit-learn
  9. leidenalg
  10. python-igraph

Compatibility and release files

CISS-VAE publishes 1 wheel and 1 source archive for version 1.1.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .