Ignore:
Timestamp:
03/22/13 11:15:09 (13 months ago)
Author:
Ales Erjavec <ales.erjavec@…>
Branch:
default
Message:

Fixed sphinx warnings.

File:
1 edited

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  • docs/widgets/rst/visualize/scatterplot.rst

    r11359 r11422  
    6868all the pairs of attributes to find interesting scatterplots. Intelligent data 
    6969visualizations techniques are about finding such visualizations automatically. 
    70 Orange's Scatterplot includes one such tool called VizRank ([Leban2006]_), that 
     70Orange's Scatterplot includes one such tool called VizRank ([1]_), that 
    7171can be in current implementation used only with classification data sets, that 
    7272is, data sets where instances are labeled with a discrete class. The task of 
     
    9898learning it would be best to leave them at their defaults. The options are 
    9999grouped according to the different aspects of the methods as described in 
    100 [Leban2006]_. The projections are evaluated through testing a selected 
     100[1]_. The projections are evaluated through testing a selected 
    101101classifier (:obj:`Projection evaluation method` default is k-nearest neighbor 
    102102classification) using some standard evaluation technique 
     
    202202---------- 
    203203 
    204 .. [Leban2006] Leban G, Zupan B, Vidmar G, Bratko I. VizRank: Data 
     204.. [1] Leban G, Zupan B, Vidmar G, Bratko I. VizRank: Data 
    205205   Visualization Guided by Machine Learning. Data Mining and Knowledge 
    206206   Discovery 13(2): 119-136, 2006. 
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