Factual package intelligence from PyPI

yaib 1.0.8 package intelligence

🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

pip install yaib

Current version
1.0.8
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
208.4 KiB
Release history
4 releases with files
Median release cadence
5 days

yaib dependencies

PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib
  2. gin-config ==0.5.0
  3. pytorch-ignite ==0.5.0.post2
  4. torch ==2.6.0
  5. lightning ==2.4.0
  6. torchmetrics ==1.0.3
  7. lightgbm ==4.6.0
  8. xgboost ==2.1.0
  9. imbalanced-learn ==0.12.3
  10. catboost ==1.2.8
  11. numpy ==1.26.0
  12. pandas >=2.2.2
  13. polars >=1.9.0
  14. pyarrow >=20.0.0
  15. scikit-learn ==1.5.0
  16. tensorboard >=2.12.2
  17. tqdm ==4.66.3
  18. einops ==0.6.1
  19. hydra-core ==1.3
  20. optuna ==4.0.0
  21. optuna-integration ==4.0.0
  22. wandb >=0.17.3
  23. recipies >=1.0
  24. scikit-optimize-fix ==0.9.1
  25. hydra-submitit-launcher ==1.2.0

The compact report shows 25 of 27 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

yaib publishes 1 wheel and 1 source archive for version 1.0.8. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 4 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 .