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# Installation

scikit-optimize requires:

- Python >= 3.6

- NumPy (>= 1.13.3)

- SciPy (>= 0.19.1)

- joblib (>= 0.11)

- scikit-learn >= 1.0.0

- 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/holgern/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/holgern/scikit-optimize.git
    cd scikit-optimize
    pip install -e .

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