Factual package intelligence from PyPI

ms-modelselect 0.2.0 package intelligence

ModelSelect: A Unified Framework for Holistic Evaluation and Quality Reward

pip install ms-modelselect

Current version
0.2.0
Python requirement
>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
938.8 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

ms-modelselect dependencies

PyPI declares 49 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas <3.0.0,>=2.2.3
  2. loguru <0.8.0,>=0.7.3
  3. json_repair <1.0.0,>=0.54.0
  4. pydantic <3.0.0,>=2.11.5
  5. openai <2.0.0,>=1.92.0
  6. tenacity <10.0.0,>=9.1.0
  7. math-verify <0.8.0,>=0.7.0
  8. tqdm <5.0.0,>=4.66.0
  9. fire
  10. numpy <2.0.0,>=1.22.0
  11. dashscope >=1.19.0
  12. tiktoken >=0.7.0
  13. nltk >=3.8.1
  14. jieba >=0.42.1
  15. sacrebleu >=2.0.0
  16. rouge-score >=0.1.2
  17. python-Levenshtein >=0.20.0
  18. scikit-learn >=1.0.0

The compact report shows 25 of 49 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ms-modelselect publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .