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
This directory contains the Python libraries for the librec_auto module. There are two other affiliated respositories:
- librec-auto-java: Contains the java source for the wrapper between LibRec () and librec-auto, which is implemented in the jar file: auto.jar.
- librec-auto-sample: Contains sample data and configuration files that can be used to explore the functionality of librec-auto
top-level
- /jar
- Contains the jar files for LibRec and the wrapper.
- /rules
- Contains the rules for translating configuration data to LibRec properties format.
- /librec_auto
- Contains the Python code for the project.
- /doc
- Contains documentation for the project
- /test
- Contains the unit tests (not many right now)