LensKit
0.11.1

Overview

  • Install LensKit
  • Getting Started
  • Examples
  • Release Notes

Running Experiments

  • Loading Data
  • Splitting Data
  • Batch-Running Recommenders
  • Evaluating Recommender Output

Algorithms

  • Algorithm Interfaces
  • Algorithm Summary
  • Basic and Utility Algorithms
  • Bias
  • k-NN Collaborative Filtering
  • Classic Matrix Factorization
  • TensorFlow Algorithms
  • Hierarchical Poisson Factorization
  • Implicit

Tips and Tricks

  • Performance Tips
  • Errors and Diagnostics
  • Algorithm Implementation Tips

Configuration and Internals

  • Utility Functions
  • Random Number Generation
  • LensKit Internals
LensKit
  • »
  • Search
  • Edit on GitHub

© Copyright 2018–2019 Boise State University Revision 7688094a.

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This material is based upon work supported by the National Science Foundation under Grant No. IIS 17-51278. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. This page has not been approved by Boise State University and does not reflect official university positions.

Read the Docs v: 0.11.1
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