source: orange/docs/reference/rst/Orange.multilabel.rst @ 9928:9dddd16dbc01

Revision 9928:9dddd16dbc01, 876 bytes checked in by Matija Polajnar <matija.polajnar@…>, 2 years ago (diff)

Improve multilabel and multitarget documentation introduction.

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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 supports such a task, although the set of available methods is
9currently rather limited.
10
11Multi-label data is represented as :ref:`multi-target data <multiple-classes>`
12with discrete binary classes with values '0' and '1'. Multi-target data is
13also supported by Orange's tab file format
14using :ref:`multiclass directive <tab-delimited>`.
15
16.. automodule:: Orange.multilabel
17
18.. toctree::
19   :maxdepth: 1
20
21   Orange.multilabel.br
22   Orange.multilabel.lp
23   Orange.multilabel.multiknn
24   Orange.multilabel.mlknn
25   Orange.multilabel.brknn
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