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The librec-auto project aims to automate recommender system experimens using Librec.

Project description

Librec-auto

Purpose

The librec-auto project aims to automate recommender system experimens using Librec.

Workflow

The workflow of an experiment involves identifying appropriate data, creating training / test splits, implementing or choosing algorithms, running experiments (possibly with a range of different parameters), and reporting on the results.

Configuration

Librec-auto uses an XML-based configuration system similar to Maven or Ant.

Project structure

top-level

  • /lib
    • /librec
      • Maven project contains the librec 2.0 project submodule to the rburke fork of librec
    • /auto
      • Maven project contains the Java component of librec-auto, depends on librec
  • /librec-auto
    • contains the Python code for the project, depends on librec and auto
  • /doc
    • contains documentation for the project
  • /test
    • contains the tests

Project details


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Files for librec-auto, version 0.0.69
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