dbenz > multi-label | BibSonomy

bookmarks  1

  •  

    We have developed and are constantly enriching a Java library for Multi-label learning, called Mulan. Mulan contains several problem transformation and algorithm adaptation methods for multilabel classification and ranking, an evaluation framework that computes several multilabel classification evaluation measures and a class providing data set statistics. It also contains an algorithm and support for hierarchical multi-label classification. Mulan is built on top of Weka and it therefore utilizes its award-wining code base. It is open-source and distributed under the GNU GPL licence. Please contact Grigorios Tsoumakas for bug reports, comments, suggestions or request for help with the library.
    7 years ago by @dbenz
    (0)
     
     
  • ⟨⟨
  • 1
  • ⟩⟩

publications  

    No matching posts.
  • ⟨⟨
  • ⟩⟩