Installation guide#
To install SKHiPPR, perform the following steps:
Download or clone the git repository
Navigate to the folder containing SKHiPPR.
(optional) Create and activate a new virtual environment
From the root folder of the SKHiPPr repository, install SKHiPPR using pip:
pip install .
For insight on skhippr usage, check out the next sections of the documentation.
Requirements#
SKHiPPR was tested and developed in Python 3.13.1. However, it is expected to work with Python 3.10 upwards. SKHiPPR requires the following packages:
numpy
scipy
matplotlib