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RecSys Library

Project description

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.

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