Ignore:
Timestamp:
03/02/12 12:39:15 (2 years ago)
Author:
janezd <janez.demsar@…>
Branch:
default
Message:

Reorganized documentation about multilabel learning

File:
1 edited

Legend:

Unmodified
Added
Removed
  • docs/reference/rst/Orange.multilabel.rst

    r9928 r10417  
    66.org/wiki/Multi-label_classification>`_ is a machine learning prediction 
    77problem in which multiple binary variables (i.e. labels) are being predicted. 
    8 Orange supports such a task, although the set of available methods is 
    9 currently rather limited. 
     8Orange offers a limited number of methods for this task. 
    109 
    1110Multi-label data is represented as :ref:`multi-target data <multiple-classes>` 
     
    1413using :ref:`multiclass directive <tab-delimited>`. 
    1514 
    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 
     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 TracChangeset for help on using the changeset viewer.