Ignore:
Timestamp:
02/27/13 15:02:50 (14 months ago)
Author:
Ales Erjavec <ales.erjavec@…>
Branch:
default
Message:

Cleanup of 'Widget catalog' documentation.

Fixed rst text formating, replaced dead hardcoded reference links (now using
:ref:), etc.

File:
1 edited

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  • docs/widgets/rst/regression/regressiontree.rst

    r11050 r11359  
    1818Outputs: 
    1919   - Learner 
    20       The classification tree learning algorithm with settings as specified in the dialog. 
     20      The classification tree learning algorithm with settings as specified in 
     21      the dialog. 
    2122   - Regression Tree 
    2223      Trained classifier (a subtype of Classifier) 
    2324 
    2425 
    25 Signal :code:`Regression Tree` sends data only if the learning data (signal :code:`Examples` is present. 
     26Signal :code:`Regression Tree` sends data only if the learning data (signal 
     27:code:`Examples`) is present. 
    2628 
    2729Description 
    2830----------- 
    2931 
    30 This widget constructs a regression tree learning algorithm. As all widgets for classification and regression, this widget provides a learner and classifier/regressor on the output. Learner is a learning algorithm with settings as specified by the user. It can be fed into widgets for testing learners, for instance :code:`Test Learners`. 
     32This widget constructs a regression tree learning algorithm. As all widgets 
     33for classification and regression, this widget provides a learner and 
     34classifier/regressor on the output. Learner is a learning algorithm with 
     35settings as specified by the user. It can be fed into widgets for testing 
     36learners, for instance :ref:`Test Learners`. 
    3137 
    3238.. image:: images/RegressionTree.png 
    3339   :alt: Regression Tree Widget 
    3440 
    35 Learner can be given a name under which it will appear in, say, :code:`Test Learners`. The default name is "Regression Tree". 
     41Learner can be given a name under which it will appear in, say, 
     42:ref:`Test Learners`. The default name is "Regression Tree". 
    3643 
    37 If :code:`Binarization` is checked, the values of multivalued attributes are split into two groups (based on the statistics in the particular node) to yield a binary tree. Binarization gets rid of the usual measures' bias towards attributes with more values and is generally recommended. 
     44If :code:`Binarization` is checked, the values of multivalued attributes 
     45are split into two groups (based on the statistics in the particular node) 
     46to yield a binary tree. Binarization gets rid of the usual measures' bias 
     47towards attributes with more values and is generally recommended. 
    3848 
    39 The widget can be instructed to prune the tree during induction by setting :obj:`Do not split nodes with less instances than`. For pruning after induction, there is pruning with m-estimate of error. 
     49The widget can be instructed to prune the tree during induction by setting 
     50:obj:`Do not split nodes with less instances than`. For pruning after 
     51induction, there is pruning with m-estimate of error. 
    4052 
    41 After changing one or more settings, you need to push :obj:`Apply`, which will put the new learner on the output and, if the training examples are given, construct a new classifier and output it as well. 
     53After changing one or more settings, you need to push :obj:`Apply`, which will 
     54put the new learner on the output and, if the training examples are given, 
     55construct a new classifier and output it as well. 
    4256 
    4357Examples 
    4458-------- 
    4559 
    46 There are two typical uses of this widget. First, you may want to induce the model and check what it looks like with the schema below. 
     60There are two typical uses of this widget. First, you may want to induce 
     61the model and check what it looks like with the schema below. 
    4762 
    4863.. image:: images/RegressionTree-Schema.png 
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