Ignore:
Timestamp:
03/15/13 17:46:47 (13 months ago)
Author:
Ales Erjavec <ales.erjavec@…>
Branch:
default
Message:

Replaced the use of :code: role with :obj:

File:
1 edited

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  • docs/widgets/rst/data/rank.rst

    r11359 r11404  
    6969 
    7070The widget outputs two example tables. The one, whose corresponding signal 
    71 is named :code:`ExampleTable Attributes` looks pretty much like the one 
     71is named :obj:`ExampleTable Attributes` looks pretty much like the one 
    7272shown in the Rank widget, except that the second column is split into two 
    7373columns, one giving the attribute type (D for discrete and C for continuous), 
     
    110110The examples in the file are put through ref:`Data Sampler` which split the 
    111111data set into two subsets: one, containing 70% of examples (signal 
    112 :code:`Classified Examples`) will be used for training a 
     112:obj:`Classified Examples`) will be used for training a 
    113113:ref:`Naive Bayes <Naive Bayes>` classifier, and the other 30% (signal 
    114 :code:`Remaining Classified Examples`) for testing. Attribute subset selection 
     114:obj:`Remaining Classified Examples`) for testing. Attribute subset selection 
    115115based on information gain was performed on the training set only, and five most 
    116116informative attributes were selected for learning. A data set with all other 
    117 attributes removed (signal :code:`Reduced Example Table`) is fed into 
     117attributes removed (signal :obj:`Reduced Example Table`) is fed into 
    118118:ref:`Test Learners`. Test Learners widgets also gets the 
    119 :code:`Remaining Classified Examples` to use them as test examples (don't 
    120 forget to set :code:`Test on Test Data` in that widget!). 
     119:obj:`Remaining Classified Examples` to use them as test examples (don't 
     120forget to set :obj:`Test on Test Data` in that widget!). 
    121121 
    122122To verify how the subset selection affects the classifier's performance, we 
    123123added another :ref:`Test Learners`, but connected it to the 
    124 :code:`Data Sampler` so that the two subsets emitted by the latter are used 
     124:ref:`Data Sampler` so that the two subsets emitted by the latter are used 
    125125for training and testing without any feature subset selection. 
    126126 
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