Factual package intelligence from PyPI

sports-prediction-framework 0.1.4 package intelligence

PyPI does not currently provide a summary for sports-prediction-framework.

pip install sports-prediction-framework

Current version
0.1.4
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
92.5 KiB
Release history
5 releases with files
Median release cadence
5 days

sports-prediction-framework dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. mlflow ==2.20.2
  2. mlflow_skinny ==2.20.2
  3. numpy <2.0,>=1.18.5
  4. optuna ==4.3.0
  5. pandas ==2.2.2
  6. paramiko ==3.5.1
  7. psycopg2_binary ==2.9.10
  8. python-dotenv ==1.1.0
  9. scikit_learn ==1.6.1
  10. setuptools ==75.1.0
  11. SQLAlchemy ==2.0.38
  12. sshtunnel ==0.4.0
  13. torch ==2.6.0
  14. torch_geometric ==2.6.1
  15. jedi >=0.16
  16. numpy

Compatibility and release files

sports-prediction-framework publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: meaningful summary, Python requirement, license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 5 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 .

The project does not publish external project URLs in its PyPI metadata.