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Adaptive Importance Sampling and quilted-model scaling for Bayesian cross-validation
pip install bayesianquilts
PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.24>=1.10>=2.0>=1.3>=3.10>=6.0>=0.4>=0.3>=4.65>=8.0>=0.16>=2024.0The compact report shows 12 of 28 declarations. The interactive dependency graph loads the complete metadata.
bayesianquilts publishes 1 wheel and 1 source archive for version 0.9.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
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 .