Factual package intelligence from PyPI
pyerrormetrics is a library designed to calculate different error metrics (Error Quotient, Repeated Error Density, Watwin Algorithm, RR Algorithm) for a given set of code executions.
pip install pyerrormetrics
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
pyerrormetrics publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 .