Contents

scikit-optimize 0.9.0

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Sequential model-based optimization toolbox.

Sequential model-based optimization toolbox.

Stars: 2272, Watchers: 2272, Forks: 433, Open Issues: 243

The scikit-optimize/scikit-optimize repo was created 5 years ago and was last updated 5 hours ago.
The project is very popular with an impressive 2272 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
https://scikit-optimize.github.io/
PyPi
https://pypi.org/project/scikit-optimize/
GitHub Repo
https://github.com/scikit-optimize/scikit-optimize

Classifiers

  • Scientific/Engineering
  • Software Development
No  scikit-optimize  pypi packages just yet.

Errors

A list of common scikit-optimize errors.

No  scikit-optimize  errors just yet.

Code Examples

Here are some scikit-optimize code examples and snippets.

No  scikit-optimize  code examples just yet.

GitHub Issues

The scikit-optimize package has 243 open issues on GitHub

  • [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
  • Parallelize scikit-optimize using Dask
  • [ENH] Better use proper parsing of the scikit-learn version numbers.
  • [MRG] Deprecationwarning Numpy 1.20
  • BayesSearchCV callback error
  • In forest minimise can we run initial run parellel
  • Unexpected behaviour of GPR in sklearn >0.23
  • BayesSearchCV: Not possible to provide list of tuples as search space parameter

See more issues on GitHub

See Also

autoviz 0.1.35

Automatically Visualize any dataset, any size with a single line of code

dtreeviz 1.3.2

A Python 3 library for sci-kit learn, XGBoost, LightGBM, and Spark decision tree visualization