scikit-optimize 0.10.2
0
Sequential model-based optimization toolbox.
Contents
Sequential model-based optimization toolbox.
Stars: 2740, Watchers: 2740, Forks: 547, Open Issues: 320The scikit-optimize/scikit-optimize
repo was created 8 years ago and the last code push was 7 months ago.
The project is very popular with an impressive 2740 github stars!
How to Install scikit-optimize
You can install scikit-optimize using pip
pip install scikit-optimize
or add it to a project with poetry
poetry add scikit-optimize
Package Details
- Author
- The scikit-optimize contributors
- License
- BSD 3-clause
- Homepage
- None
- PyPi:
- https://pypi.org/project/scikit-optimize/
- GitHub Repo:
- https://github.com/scikit-optimize/scikit-optimize
Classifiers
- Scientific/Engineering
- Software Development
Related Packages
Errors
A list of common scikit-optimize errors.
Code Examples
Here are some scikit-optimize
code examples and snippets.
GitHub Issues
The scikit-optimize package has 320 open issues on GitHub
- Model is fed wrong values by
BayesSearchCV
- fix bug with float and str categories in Categorical space
- Include point in "the objective has been evaluated at this point before" warning
- BayesSearchCV supporting base estimator arguments
- [MRG] Fix plot_gaussian_process not working with ps-acquisition
- [MRG] Make Real and Integer raise error when prior is log-uniform and bounds contain zero
- Pickle error in callback pf gp_minimize
- BayesSearchCV: Not possible to provide list of tuples as search space parameter