Factual package intelligence from PyPI

scorecardpipeline 0.1.39 package intelligence

评分卡pipeline建模包，封装toad、scorecardpy、optbinning等评分卡建模相关组件，API风格与sklearn高度一致，自持自定义模型报告输出

pip install scorecardpipeline

Current version
0.1.39
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
8.1 MiB
Release history
44 releases with files
Median release cadence
13 days

scorecardpipeline dependencies

PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=1.5
  2. matplotlib
  3. seaborn >=0.10.0
  4. scipy >=1.6.0
  5. statsmodels >=0.13.2
  6. scikit-learn >=1.6.0
  7. scorecardpy
  8. ortools >=9.4
  9. ropwr >=1.0.0
  10. optbinning
  11. graphviz >=0.20.1
  12. dtreeviz >=2.2.1
  13. category-encoders >=2.6.0
  14. sklearn-pandas
  15. sklearn2pmml
  16. pypmml
  17. joblib >=0.12
  18. six >=1.15.0
  19. openpyxl >=3.0.10
  20. sweetviz
  21. numexpr
  22. cvxpy >=1.4.1
  23. protobuf >=5.27.0
  24. dill
  25. ipython

The compact report shows 25 of 33 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

scorecardpipeline publishes 1 wheel and 1 source archive for version 0.1.39. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

PyPI lists 44 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .