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

Documentation

Use Linux machine with Python 3.7+, Java 8+ and C++ compiler.

pip install replay-rec

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

If you encounter an error during RePlay installation, check the troubleshooting guide.