replay-rec 0.5.1

RecSys Library

RePlay

RePlay is a library providing tools for all stages of creating a recommendation system, from data preprocessing to model evaluation and comparison.

RePlay uses PySpark to handle big data.

You can

• Filter and split data
• Train models
• Optimize hyper parameters
• Evaluate predictions with metrics
• Combine predictions from different models
• Create a two-level model

Docs

Documentation

Installation

Use Linux machine with Python 3.6+ and Java 8+.

pip install replay-rec

It is preferable to use a virtual environment for your installation.

To test your installation you can run tests from replay folder:

pytest ./tests