LensKit is a set of Python tools for experimenting with and studying recommender systems. It provides support for training, running, and evaluating recommender algorithms in a flexible fashion suitable for research and education.
Python LensKit (LKPY) is the successor to the Java-based LensKit project.
To install the current release with Anaconda (recommended):
conda install -c lenskit lenskit
Or you can use pip:
pip install lenskit
To use the latest development version, install directly from GitHub:
pip install -U git+https://github.com/lenskit/lkpy
Then see Getting Started
This material is based upon work supported by the National Science Foundation under Grant No. IIS 17-51278. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.