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
Use Linux machine with Python 3.7+ and Java 8+.
pip install replay-recIt is preferable to use a virtual environment for your installation.