Installation Instructions

Installation can be done via pip:

pip install

For best performance, we recommend that you install the package in a conda environment and let conda handle the installation of dependencies before installing the package using pip. You can do this by following these steps:

conda create -n python scipy pandas -y
conda activate
conda install -c conda-forge cvxopt=1.3 -y
pip install

The examples might require you to install additional packages, e.g., seaborn and ipykernel / notebook / jupyterlab if you want to run the notebooks. Using pip to install these packages should not cause any dependency issues.