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
- /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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