Ignore:
Timestamp:
03/22/13 12:22:50 (13 months ago)
Author:
Ales Erjavec <ales.erjavec@…>
Branch:
default
Message:

Small fix for RFE documentation.

File:
1 edited

Legend:

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Added
Removed
  • Orange/classification/svm/__init__.py

    r11397 r11423  
    11931193 
    11941194class RFE(object): 
    1195  
    1196     """Iterative feature elimination based on weights computed by 
     1195    """ 
     1196    Iterative feature elimination based on weights computed by a 
    11971197    linear SVM. 
    11981198 
    1199     Example:: 
     1199    Example: 
    12001200 
    12011201        >>> table = Orange.data.Table("promoters.tab") 
     
    12121212    def __init__(self, learner=None): 
    12131213        """ 
    1214         :param learner: A linear svm learner for use with 
    1215             :class:`ScoreSVMWeights`. 
     1214        :param learner: A linear svm learner for use for scoring (this 
     1215            learner is passed to :class:`ScoreSVMWeights`) 
     1216 
     1217        :type learner: :class:`LinearSVMLearner` or :class:`SVMLearner` with 
     1218            linear kernel 
     1219 
     1220        .. seealso:: :class:`ScoreSVMWeights` 
    12161221 
    12171222        """ 
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