Factual package intelligence from PyPI

ConMedRL 1.0.6 package intelligence

An Offline Constrained Reinforcement Learning Toolkit for Medical Decision Making

pip install conmedrl

Current version
1.0.6
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
202.4 KiB
Release history
7 releases with files
Median release cadence
0 days

ConMedRL dependencies

PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. flask ==2.2.2
  2. scikit-learn ==1.2.1
  3. torch >=1.8.0
  4. numpy ==1.23.5
  5. pandas ==1.5.3
  6. tqdm ==4.64.1
  7. celery ==5.3.6
  8. gunicorn ==20.1.0
  9. pillow ==9.4.0
  10. requests ==2.31.0
  11. dask >=2023.1.0
  12. threadpoolctl >=3.1.0
  13. joblib >=1.2.0
  14. jupyter ==1.0.0
  15. jupyterlab ==4.0.5
  16. notebook ==7.0.2
  17. matplotlib ==3.7.1
  18. seaborn ==0.12.2
  19. plotly ==5.17.0

The compact report shows 25 of 30 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ConMedRL publishes 1 wheel and 1 source archive for version 1.0.6. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.8, 3.9.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .