Changeset 10137:1264187a1740 in orange


Ignore:
Timestamp:
02/08/12 22:20:03 (2 years ago)
Author:
Matija Polajnar <matija.polajnar@…>
Branch:
default
Message:

Kill some more nasty warnings in documentation I dislike so much.

File:
1 edited

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  • docs/reference/rst/Orange.feature.discretization.rst

    r10051 r10137  
    6868:class:`Orange.classification.Learner`. 
    6969 
    70 .. _`Discretization Algorithms` 
    71  
    72 Discretization Algorithms 
    73 ========================= 
     70_`Discretization Algorithms` 
     71============================ 
    7472 
    7573Instances of discretization classes are all derived from :class:`Discretization`. 
     
    142140.. class:: Entropy 
    143141 
    144     Entropy-based discretization as originally proposed by [FayyadIrani1993]_. The approach infers the most 
     142    Entropy-based discretization as originally proposed by [FayyadIrani93]_. The approach infers the most 
    145143    appropriate number of intervals by recursively splitting the domain of continuous feature to minimize the 
    146144    class-entropy of training examples. The splitting is repeated until the entropy decrease is smaller than the 
     
    342340========== 
    343341 
    344 .. [FayyadIrani1993] UM Fayyad and KB Irani. Multi-interval discretization of continuous valued 
     342.. [FayyadIrani93] UM Fayyad and KB Irani. Multi-interval discretization of continuous valued 
    345343  attributes for classification learning. In Proc. 13th International Joint Conference on Artificial Intelligence, pages 
    346344  1022--1029, Chambery, France, 1993. 
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