Factual package intelligence from PyPI

bayes-hdc 0.5.0a1 package intelligence

Calibrated anomaly detection and probabilistic hyperdimensional computing in JAX. Conformal classifier, regressor, and one-class anomaly detector with finite-sample coverage; closed-form Gaussian and Dirichlet hypervectors; pytree-native end-to-end.

pip install bayes-hdc

Current version
0.5.0a1
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
266.0 KiB
Release history
2 releases with files
Median release cadence
0 days

bayes-hdc dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. jax >=0.4.20
  2. jaxlib >=0.4.20

Compatibility and release files

bayes-hdc publishes 1 wheel and 1 source archive for version 0.5.0a1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .