The library is still experimental and under heavy development. Checkout the next milestone for the plans for the next release or look at some easy issues to get started contributing.

The development version can be installed through:

git clone
cd scikit-optimize
pip install -e.

Run all tests by executing pytest in the top level directory.

To only run the subset of tests with short run time, you can use pytest -m 'fast_test' (pytest -m 'slow_test' is also possible). To exclude all slow running tests try pytest -m 'not slow_test'.

This is implemented using pytest attributes. If a tests runs longer than 1 second, it is marked as slow, else as fast.

All contributors are welcome!

Making a Release

The release procedure is almost completely automated. By tagging a new release travis will build all required packages and push them to PyPI. To make a release create a new issue and work through the following checklist:

  • update the version tag in

  • update the version tag mentioned in the README

  • check if the dependencies in are valid or need unpinning

  • check that the is up to date

  • did the last build of master succeed?

  • create a new release

  • ping conda-forge

Before making a release we usually create a release candidate. If the next release is v0.X then the release candidate should be tagged v0.Xrc1 in Mark a release candidate as a “pre-release” on GitHub when you tag it.