source: orange/docs/widgets/rst/regression/mean.rst @ 10403:e73c2fd9760a

Revision 10403:e73c2fd9760a, 778 bytes checked in by Ales Erjavec <ales.erjavec@…>, 2 years ago (diff)

Added basic rst documentation for Mean widget.

Line 
1.. _Mean:
2
3Mean Learner
4============
5
6.. image:: ../../../../Orange/OrangeWidgets/icons/Unknown.png
7   :alt: Mean Learner
8   
9Channels
10--------
11
12Inputs:
13   - Data (Table)
14
15Outputs:
16   - Learner
17        The Mean learning algorithm.
18       
19   - Predictor
20        Trained regressor
21       
22Signal ``Predictor`` sends the regressor only if signal ``Data`` is present.
23
24
25Description
26-----------
27
28This is the simplest learner widget for regression problems. It *learns*
29the mean of the class variable and produces a predictor that always predicts
30this value.
31
32.. image:: images/Mean.png
33    :alt: Mean widget interface
34 
35
36.. rst-class:: stamp-list
37
38    1. Learner/predictor name.
39   
40    2. ``Apply`` button sends the learner (and predictor if input
41       signal ``Data`` is present).
42         
Note: See TracBrowser for help on using the repository browser.