jPL Framework
jPL framework
The jPL framework was originally created by a student project group under the supervision of the Intelligent Systems Group at Paderborn University. The aim of this framework is to provide a generic framework to evaluate different algorithms in the context of preference learning. Learning algorithms solving the following preference learning problems are implemented so far:
- Collaborative Filtering
- Instance Ranking
- Label Ranking
- Multilabel Classification
- Object Ranking
- Ordinal Classification
- Rank Aggregation