Changeset 8764:2a2b94596eca in orange


Ignore:
Timestamp:
08/24/11 16:05:14 (3 years ago)
Author:
anze <anze.staric@…>
Branch:
default
Convert:
109fe3138e280699c9d2ce9acfa40f3ad7489020
Message:

Fixed some more rst warnings.

Location:
orange
Files:
6 edited

Legend:

Unmodified
Added
Removed
  • orange/Orange/clustering/hierarchical.py

    r8067 r8764  
    230230.. note:: This code will actually trigger a warning; 
    231231    to avoid it, use matrix.setattr("objects", ["Ann", "Bob".... 
    232     Why this is needed is explained in the page on `Orange peculiarities`_. 
    233      
     232..    Why this is needed is explained in the page on `Orange peculiarities`_. TODO: Create page on Orange Peculiarities. 
     233 
    234234If we've forgotten to store the objects into matrix prior to clustering, 
    235235nothing is lost. We can add it into clustering later, by 
  • orange/Orange/feature/discretization.py

    r8112 r8764  
    141141        Constructs a new attribute descriptor; the new attribute is discretized 
    142142        ``attribute``. The new attribute's name equal ``attribute.name``  
    143         prefixed  by "D_", and its symbolic values are discretizer specific. 
     143        prefixed  by "D\_", and its symbolic values are discretizer specific. 
    144144        The above example shows what comes out form :class:`IntervalDiscretizer`.  
    145145        Discretization algorithms actually first construct a discretizer and 
  • orange/Orange/feature/scoring.py

    r8762 r8764  
    6060    0.228 synfuels-corporation-cutback 
    6161 
    62 .. comment:: 
    63  
     62.. comment 
    6463    The next script uses :obj:`GainRatio` and :obj:`Relief`. 
    6564 
     
    203202    classification cost for approximately 0.083 per instance. 
    204203 
    205     .. comment:: opposite error - is this term correct? TODO 
     204    .. comment  opposite error - is this term correct? TODO 
    206205 
    207206.. index::  
     
    435434.. autofunction:: Orange.feature.scoring.score_all 
    436435 
    437 .. comment .. rubric:: References 
     436.. .. rubric:: References 
    438437 
    439438.. [Kononenko2007] Igor Kononenko, Matjaz Kukar: Machine Learning and Data Mining,  
  • orange/Orange/regression/earth.py

    r8218 r8764  
    820820    """ Plot the variable importances as returned from 
    821821    :obj:`EarthClassifier.evimp` call. 
    822     :: 
     822     
    823823        >>> data = Orange.data.Table("housing") 
    824824        >>> c = EarthLearner(data, degree=3) 
  • orange/doc/Orange/rst/Orange.data.value.rst

    r8021 r8764  
    4747 
    4848        Tells whether the value is known or not. Can be 
    49        ``Orange.data.Value.Regular``, ``Orange.data.Value.DC``, 
    50        ``Orange.data.Value.DK``. 
     49        ``Orange.data.Value.Regular``, ``Orange.data.Value.DC``, 
     50        ``Orange.data.Value.DK``. 
    5151 
    5252    .. method:: __init__(variable[, value]) 
  • orange/doc/Orange/rst/Orange.projection.pca.rst

    r8169 r8764  
    4949 
    5050.. _pca-run.py: code/pca-run.py 
     51.. _pca-scree.py: code/pca-scree.py 
    5152.. _iris.tab: code/iris.tab 
Note: See TracChangeset for help on using the changeset viewer.