Surprise
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User Guide

  • Getting Started
  • Using prediction algorithms
  • How to build your own prediction algorithm
  • Notation standards, References
  • FAQ

API Reference

  • prediction_algorithms package
  • The model_selection package
  • similarities module
  • accuracy module
  • dataset module
  • Trainset class
  • Reader class
  • dump module
Surprise
  • Docs »
  • Overview: module code

All modules for which code is available

  • surprise.accuracy
  • surprise.dataset
  • surprise.dump
  • surprise.model_selection.search
  • surprise.model_selection.split
  • surprise.model_selection.validation
  • surprise.prediction_algorithms.algo_base
  • surprise.prediction_algorithms.baseline_only
  • surprise.prediction_algorithms.co_clustering
  • surprise.prediction_algorithms.knns
  • surprise.prediction_algorithms.matrix_factorization
  • surprise.prediction_algorithms.predictions
  • surprise.prediction_algorithms.random_pred
  • surprise.prediction_algorithms.slope_one
  • surprise.reader
  • surprise.similarities
  • surprise.trainset

© Copyright 2015, Nicolas Hug.

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