Factual package intelligence from PyPI

pandaslearn 0.1.9 package intelligence

`pandaslearn` is a small wrapper on top of `scikit-learn` to automate common modeling tasks.

pip install pandaslearn

Current version
0.1.9
Python requirement
>=3.8,<3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
38.3 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

pandaslearn dependencies

PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=1.2.5
  2. plotnine >=0.8.0
  3. pydantic >=1.8.2
  4. xgboost >=1.4.2
  5. lightgbm >=3.2.1
  6. catboost >=0.26
  7. scikit-lego >=0.6.7
  8. category-encoders >=2.2.2
  9. pdpipe >=0.0.53
  10. streamlit
  11. missingno >=0.5.0
  12. streamlit-pandas-profiling >=0.1.2
  13. pandas-profiling >=3.0.0
  14. pandas-ta >=0.3.2-beta.0
  15. joblib >=1.0.1
  16. backports.weakref >=1.0.post1
  17. backports.zoneinfo >=0.2.1
  18. optuna >=2.9.1

The compact report shows 18 of 27 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

pandaslearn publishes 1 wheel and 1 source archive for version 0.1.9. Wheel platform tags: any.

Declared Python classifiers: 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 .