Installation

scikit-optimize requires:

  • Python >= 3.6

  • NumPy (>= 1.13.3)

  • SciPy (>= 0.19.1)

  • joblib (>= 0.11)

  • scikit-learn >= 0.20

  • matplotlib >= 2.0.0

The newest release can be installed via pip:

$ pip install scikit-optimize

or via conda:

$ conda install -c conda-forge scikit-optimize

The newest development version of scikit-optimize can be installed by:

$ pip install git+https://github.com/scikit-optimize/scikit-optimize.git

Development version

The library is still experimental and under heavy development. The development version can be installed through:

git clone https://github.com/scikit-optimize/scikit-optimize.git
cd scikit-optimize
pip install -r requirements.txt
python setup.py develop

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