Factual package intelligence from PyPI

bayesopt 0.3 package intelligence

BayesOpt is an efficient implementation of the Bayesian optimization methodology for nonlinear optimization, experimental design and hyperparameter tuning

pip install bayesopt

Current version
0.3
Python requirement
Not declared
License
AGPL>=3.0
Distribution type
Includes compiled wheel
Release files
1 (1 wheels, 0 source)
Download size
411.4 KiB
Release history
2 releases with files
Median release cadence
102 days

bayesopt dependencies

PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

bayesopt publishes 1 wheel and 0 source archives for version 0.3. Wheel platform tags: win32.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

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 .