Factual package intelligence from PyPI

LatentBoostClassifier 1.2.4 package intelligence

A hybrid generative model combining CVAE, CGAN, and Random Forest.

pip install latentboostclassifier

Current version
1.2.4
Python requirement
>=3.7
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
803.8 KiB
Release history
4 releases with files
Median release cadence
1 days

LatentBoostClassifier dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tensorflow >=2.8.0
  2. keras-tuner >=1.1.0
  3. scikit-learn >=1.0
  4. matplotlib >=3.4
  5. seaborn >=0.11
  6. numpy >=1.19
  7. pandas >=1.1
  8. tqdm >=4.62

Compatibility and release files

LatentBoostClassifier publishes 1 wheel and 1 source archive for version 1.2.4. Wheel platform tags: any.

Declared Python classifiers: 3.7.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .