Welcome to RePlay’s documentation!

Contents:

• Installation
  • Basic
  • Troubleshooting
  • Development
• Get Started
  • Data Format
    • ID requirements
    • Timestamp requirements
• Settings
  • Spark session
  • Logging
• Modules
  • Filters
  • Time Smoothing
  • Models
    • RePlay Recommenders
    • Recommender interface
    • Distributed models
      • Popular Recommender
      • User Popular Recommender
      • Wilson Recommender
      • Random Recommender
      • K Nearest Neighbours
      • Alternating Least Squares
      • SLIM
      • Word2Vec Recommender
      • Association Rules Item-to-Item Recommender
      • Cluster Recommender
    • Neural models with distributed inference
      • Neural Matrix Factorization
      • Mult-VAE
    • Wrappers and other models with distributed inference
      • ADMM SLIM
      • LightFM
      • implicit
  • Serializer
  • Splitters
    • UserSplitter
    • k_folds
    • DateSplitter
    • RandomSplitter
    • NewUsersSplitter
    • ColdUserRandomSplitter
  • Metrics
    • HitRate
    • Precision
    • MAP
    • Recall
    • ROC-AUC
    • MRR
    • NDCG
    • Surprisal
    • Unexpectedness
    • Coverage
    • Custom Metric
  • Compare Results
  • Scenarios
    • Fallback
    • Two Stage Scenario
  • Data Preparation
  • Distributions
    • Item Distribution
    • User Distribution
• Useful Info
  • How to choose a recommender
    • Input Data
    • Model requirements
    • Model Comparison
      • MovieLens 1m
  • How to optimize hyper parameters

Indices and tables

• Index

• Module Index

• Search Page