Factual package intelligence from PyPI
Dos primitivas para no mentirte evaluando experimentos temporales: split walk-forward con embargo (sin leakage) y gate de significancia apareado con n efectivo de Kish y cota inferior de confianza.
pip install honest-eval
PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
honest-eval publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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.
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 .