Projects authored by christian schulze.


Logo scikit multilearn 0.0.4

by niedakh - February 15, 2017, 21:11:40 CET [ Project Homepage BibTeX Download ] 1458 views, 358 downloads, 3 subscriptions

About: A native Python, scikit-compatible, implementation of a variety of multi-label classification algorithms.

Changes:

*kNN classifiers support sparse matrices properly support for the new model_selection API from scikit-learn extended graph-based label space clusteres to allow taking probability of a label occuring alone into consideration compatible with newest graphtool support the case when meka decides that an observation doesn't have any labels assigned HARAM classifier provided by Fernando Benitez from University of Konstanz predict_proba added to problem transformation classifiers ported to python 3