Factual package intelligence from PyPI

calibrated-bo 0.3.0 package intelligence

Calibrated Bayesian optimization on top of bayesian-gp-cvloss: composable conformal prediction (Weighted + Localized + Adaptive), single- and multi-objective acquisition (cUCB / cEI / cEHVI), q-batch greedy with fantasies, and a one-call BO loop with persistent ACI state.

pip install calibrated-bo

Current version
0.3.0
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
92.2 KiB
Release history
5 releases with files
Median release cadence
1 days

calibrated-bo dependencies

PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. bayesian-gp-cvloss >=0.3.1
  2. numpy >=1.18.0
  3. scipy >=1.5.0
  4. scikit-learn >=0.23.0

Compatibility and release files

calibrated-bo publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .