Factual package intelligence from PyPI

superior-scoring-rules 1.0.6 package intelligence

PBS and PLL are superior evaluation metrics for probabilistic classifiers, fixing flaws in Brier Score (MSE) and Log Loss (Cross-Entropy). Strictly proper, consistent, and better for model selection, early stopping, and checkpointing.

pip install superior-scoring-rules

Current version
1.0.6
Python requirement
>=3.0.0
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
8.6 KiB
Release history
7 releases with files
Median release cadence
0 days

superior-scoring-rules dependencies

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

  1. tensorflow >=2.0.0

Compatibility and release files

superior-scoring-rules publishes 1 wheel and 1 source archive for version 1.0.6. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .