Changeset 9640:72c66ef78499 in orange


Ignore:
Timestamp:
02/05/12 23:08:09 (2 years ago)
Author:
anze <anze.staric@…>
Branch:
default
rebase_source:
27ed4e45a002d3c881d6184420c96a9a7fae96d6
Message:

Split measure and constructor class declaration in two lines so they can be referenced in documentation.

File:
1 edited

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  • docs/reference/rst/Orange.distance.instances.rst

    r9639 r9640  
    9292 
    9393 
    94 .. class:: Hamming, HammingConstructor 
     94.. class:: HammingConstructor 
     95.. class:: Hamming 
    9596 
    9697    Hamming distance between two instances is defined as the number of 
     
    99100 
    100101 
    101 .. class:: Maximal, MaximalConstructor 
     102.. class:: MaximalConstructor 
     103.. class:: Maximal 
    102104 
    103105    The maximal between two instances is defined as the maximal distance 
     
    107109 
    108110 
    109 .. class:: Manhattan, ManhattanConstructor 
     111.. class:: ManhattanConstructor 
     112.. class:: Manhattan 
    110113 
    111114    Manhattan distance between two instances is a sum of absolute values 
     
    113116    where dist is the result of ExamplesDistance_Normalized.attributeDistances. 
    114117 
    115 .. class:: Euclidean, EuclideanConstructor 
    116  
     118.. class:: EuclideanConstructor 
     119.. class:: Euclidean 
    117120 
    118121    Euclidean distance is a square root of sum of squared per-feature distances, 
     
    123126 
    124127        An object of type 
    125         :obj:`Orange.statistics.distribution.Distribution` that holds 
     128        :obj:`~Orange.statistics.distribution.Distribution` that holds 
    126129        the distributions for all discrete features used for 
    127130        computation of distances between known and unknown values. 
     
    151154    (the precomputed distance between two unknown values). 
    152155 
    153 .. class:: Relief, ReliefConstructor 
     156.. class:: ReliefConstructor 
     157.. class:: Relief 
    154158 
    155159    Relief is similar to Manhattan distance, but incorporates a more 
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