Factual package intelligence from PyPI

total-points-model 1.0.5 package intelligence

Train an AFL Total Points model

pip install total-points-model

Current version
1.0.5
Python requirement
>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
39.8 KiB
Release history
3 releases with files
Median release cadence
0 days

total-points-model dependencies

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

  1. pandas ==1.5.3
  2. numpy ==1.23.5
  3. optuna ==3.1.1
  4. xgboost ==1.7.3
  5. scikit-learn ==1.2.2
  6. seaborn ==0.12.2
  7. matplotlib ==3.7.1
  8. shap ==0.41.0
  9. joblib ==1.1.1
  10. plotly ==5.14.1
  11. notebook ==6.5.3
  12. jupyter ==1.0.0
  13. jupyter-server ==1.23.4
  14. nbclient ==0.5.13
  15. matplotlib-inline ==0.1.6

Compatibility and release files

total-points-model publishes 1 wheel and 1 source archive for version 1.0.5. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .