Modules

Contents:

• 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