Factual package intelligence from PyPI

hgboost 2.0.1 package intelligence

hgboost is a python package for hyperparameter optimization for xgboost, catboost and lightboost for both classification and regression tasks.

pip install hgboost

Current version
2.0.1
Python requirement
>=3
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
64.6 KiB
Release history
21 releases with files
Median release cadence
50 days

hgboost dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. datazets
  2. pypickle
  3. matplotlib
  4. numpy
  5. pandas
  6. tqdm
  7. lightgbm >=4.1.0
  8. xgboost
  9. classeval
  10. treeplot
  11. df2onehot >=1.2.3
  12. colourmap
  13. seaborn

Compatibility and release files

hgboost publishes 1 wheel and 1 source archive for version 2.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 21 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .