Factual package intelligence from PyPI

medaid 0.1.9 package intelligence

Automated Machine Learning for medical use

pip install medaid

Current version
0.1.9
Python requirement
>=3.8
License
MIT
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
27.8 KiB
Release history
8 releases with files
Median release cadence
0 days

medaid dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. setuptools >=40.8.0
  2. pandas >=1.5.0
  3. numpy >=1.21.0
  4. scikit-learn ==1.5.2
  5. matplotlib >=3.5.0
  6. fancyimpute >=0.6.0
  7. reportlab >=3.6.0
  8. fpdf >=1.7.0
  9. shap >=0.39.0
  10. seaborn ~=0.13.2
  11. dtreeviz ~=2.2.2
  12. xgboost ~=2.1.3
  13. lightgbm ~=4.5.0
  14. tqdm ~=4.67.1
  15. setuptools ~=75.1.0
  16. ipython >=8.0.0
  17. ipywidgets >=8.0.0
  18. supertree
  19. lime >=0.2.0

Compatibility and release files

medaid publishes 0 wheels and 1 source archive for version 0.1.9. Wheel platform tags: No wheel platform tags.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .