Factual package intelligence from PyPI

cph-regression 0.1.1 package intelligence

A generic, config-driven regression training package using PyTorch Lightning

pip install cph-regression

Current version
0.1.1
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
37.5 KiB
Release history
2 releases with files
Median release cadence
0 days

cph-regression dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. lightning >=2.1.0
  2. torch >=2.0.0
  3. torchvision >=0.15.0
  4. Pillow >=9.0.0
  5. pandas >=2.0.0
  6. numpy >=1.24.0
  7. scikit-learn >=1.3.0
  8. joblib >=1.3.0
  9. onnx >=1.14.0
  10. onnxruntime <1.23.0,>=1.16.0
  11. onnxscript >=0.1.0
  12. torchmetrics >=1.0.0
  13. pyyaml >=6.0
  14. fastapi >=0.104.0
  15. uvicorn >=0.24.0
  16. jinja2 >=3.1.0
  17. python-multipart >=0.0.6
  18. pydantic >=2.0.0
  19. tensorboard >=2.13.0
  20. jsonargparse >=4.27.7

Compatibility and release files

cph-regression publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

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

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .