Library for FairRecKit application
Project description
FairRecKit Lib
FairRecKitLib is a library that functions as a combinatory interface between a set of existing recommender libraries, such as Lenskit, Implicit, and Surprise. It was made to accompany the FairRecKit application.
This program has been developed by students from the bachelor Computer Science at
Utrecht University within the Software Project course.
© Copyright Utrecht University (Department of Information and Computing Sciences)
Installation Requirements
FairRecKitLib utilizes the scikit-surprise package, which relies on having a suitable C/C++ compiler present on the system to be able to install itself. For this purpose, make sure you have Cython installed before attempting to install FairRecKitLib. If your system lacks a compiler, install the 'Desktop development with C++' build tools through the Visual Studio installer.
Meeting these requirements, you can install FairRecKitLib like any PyPI package, using e.g. pip or conda.
pip:
pip install fairreckitlib
conda
conda install fairreckitlib
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for fairreckitlib-0.4.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5e4bf9498f1b29cb99eebd22254018eb8078ab87c86fdd7b12fa557b967c5460 |
|
MD5 | 2962a2f41d3878c4137a84c35a38cf8c |
|
BLAKE2b-256 | dccb131f2a36b397d324d72bd820988d4829448ca4fb924cfed06ee08046e6fa |