Scikit-Recommender

Scikit-Recommender is an open source library for researchers of recommender systems.

Highlighted Features

• Various recommendation models
• Parse arguments from command line and ini-style files
• Diverse data preprocessing
• Fast negative sampling
• Fast model evaluation
• Convenient record logging
• Flexible batch data iterator

Installation

You have three ways to use Scikit-Recommender:

1. Install from PyPI
2. Install from Source
3. Run without Installation

Install from PyPI

Binary installers are available at the Python package index and you can install the package from pip.

pip install scikit-recommender

Install from Source

Installing from source requires Cython and the current code works well with the version 0.29.20.

To build scikit-recommender from source you need Cython:

pip install cython==0.29.20

Then, the scikit-recommender can be installed by executing:

git clone https://github.com/ZhongchuanSun/scikit-recommender.git
cd scikit-recommender
python setup.py install

Run without Installation

Alternatively, You can also run the sources without installation. Please compile the cython codes before running:

git clone https://github.com/ZhongchuanSun/scikit-recommender.git
cd scikit-recommender
python setup.py build_ext --inplace

Usage

After installing or compiling this package, now you can run the run_skrec.py:

python run_skrec.py

You can also find examples in tutorial.ipynb.

Models