Factual package intelligence from PyPI

bayes-optim 0.3.0 package intelligence

A Bayesian Optimization Library

pip install bayes-optim

Current version
0.3.0
Python requirement
>=3.7
License
GNU General Public License v3 (GPLv3)
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
223.5 KiB
Release history
16 releases with files
Median release cadence
2 days

bayes-optim dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dill >=0.3.3
  2. joblib >=1.0.0
  3. numpy >=1.24.0
  4. pyDOE >=0.3.8
  5. scikit-learn >=1.2.2
  6. scipy >=1.5.4
  7. sklearn ==0.0
  8. tabulate >=0.8.7
  9. threadpoolctl >=2.1.0
  10. requests >=2.25.0
  11. requests-oauthlib >=1.3.0
  12. sobol-seq >=0.2.0
  13. py-expression-eval >=0.3.13
  14. torch >=2.0.1
  15. pytest >=7.3.2

Compatibility and release files

bayes-optim 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 16 releases 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 . The preceding dated release was .