source: orange/docs/reference/rst/Orange.multilabel.rst @ 10417:096d1f75db02

Revision 10417:096d1f75db02, 837 bytes checked in by janezd <janez.demsar@…>, 2 years ago (diff)

Reorganized documentation about multilabel learning

Line 
1###########################################
2Multi-label classification (``multilabel``)
3###########################################
4
5`Multi-label classification <http://en.wikipedia
6.org/wiki/Multi-label_classification>`_ is a machine learning prediction
7problem in which multiple binary variables (i.e. labels) are being predicted.
8Orange offers a limited number of methods for this task.
9
10Multi-label data is represented as :ref:`multi-target data <multiple-classes>`
11with discrete binary classes with values '0' and '1'. Multi-target data is
12also supported by Orange's tab file format
13using :ref:`multiclass directive <tab-delimited>`.
14
15.. automodule:: Orange.multilabel.br
16.. automodule:: Orange.multilabel.lp
17.. automodule:: Orange.multilabel.multiknn
18.. automodule:: Orange.multilabel.mlknn
19.. automodule:: Orange.multilabel.brknn
Note: See TracBrowser for help on using the repository browser.