Factual package intelligence from PyPI

vaganboost 0.7.7 package intelligence

A hybrid model combining VAE, GAN, and LightGBM for boosting performance in high-energy physics or data analysis tasks.

pip install vaganboost

Current version
0.7.7
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
29.9 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

vaganboost dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.8.0
  2. lightgbm >=3.2.0
  3. numpy >=1.19.0
  4. pandas >=1.1.0
  5. scikit-learn >=0.24.0
  6. matplotlib >=3.3.0
  7. seaborn >=0.11.0
  8. plotly >=5.0.0

Compatibility and release files

vaganboost publishes 1 wheel and 1 source archive for version 0.7.7. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.6, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .