Factual package intelligence from PyPI

hungarian-loss 1.0.2 package intelligence

Package for computing the mean squared error between `y_true` and `y_pred` objects with prior assignment using the Hungarian algorithm.

pip install hungarian-loss

Current version
1.0.2
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
311.6 KiB
Release history
3 releases with files
Median release cadence
789 days

hungarian-loss dependencies

PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.

  1. tensorflow >=2.4.0

Compatibility and release files

hungarian-loss publishes 1 wheel and 1 source archive for version 1.0.2. 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 ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .