Factual package intelligence from PyPI

cvic 1.1.0 package intelligence

Local hyperparameter optimization of image classifiers using cross-validation + Ray Tune + timm

pip install cvic

Current version
1.1.0
Python requirement
>=3.12
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
223.2 KiB
Release history
5 releases with files
Median release cadence
4 days

cvic dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.11.0
  2. numpy >=2.4.3
  3. optuna >=4.7.0
  4. pandas >=3.0.3
  5. pillow >=12.1.1
  6. pyyaml >=6.0
  7. ray >=2.54.0
  8. scikit-learn >=1.8.0
  9. scipy >=1.18.0
  10. statsmodels >=0.14.6
  11. timm >=1.0.25
  12. torch >=2.0.0
  13. torchvision >=0.15.0
  14. tqdm >=4.66.0
  15. webdataset >=1.0.2

Compatibility and release files

cvic publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for cvic 1.1.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

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 .