Factual package intelligence from PyPI

robustloss-lab 2.1.7 package intelligence

Robust classification losses (CCE/SCCE, Focal, GCE) + simple experiment runner

pip install robustloss-lab

Current version
2.1.7
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
51.3 KiB
Release history
3 releases with files
Median release cadence
12 days

robustloss-lab dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.23
  2. pandas >=2.0
  3. scikit-learn >=1.2
  4. matplotlib >=3.7

Compatibility and release files

robustloss-lab publishes 1 wheel and 1 source archive for version 2.1.7. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .