Changeset 7510:ecb2538dfab9 in orange


Ignore:
Timestamp:
02/04/11 18:52:00 (3 years ago)
Author:
tomazc <tomaz.curk@…>
Branch:
default
Convert:
a049033bcefe2598db772f47ff0b5443d300a920
Message:

Documentatio and code refactoring at Bohinj retreat.

Location:
orange/doc/Orange/rst/code
Files:
1 added
7 edited

Legend:

Unmodified
Added
Removed
  • orange/doc/Orange/rst/code/scoring-all.py

    r7319 r7510  
    33# Uses:        voting 
    44# Referenced:  Orange.feature.html#scoring 
    5 # Classes:     Orange.feature.scoring.attMeasure, Orange.features.scoring.gainRatio 
     5# Classes:     Orange.feature.scoring.attMeasure, Orange.features.scoring.GainRatio 
    66 
    77import Orange 
  • orange/doc/Orange/rst/code/scoring-diff-measures.py

    r7424 r7510  
    1 # Description: Tests various classes for attribute quality assessment 
    2 # Category:    attribute quality 
    3 # Classes:     MeasureAttribute, MeasureAttribute_info, MeasureAttribute_gainRatio, MeasureAttribute_gini, MeasureAttribute_relevance, MeasureAttribute_cost, MeasureAttribute_Relief 
     1# Description: Tests various classes for feature quality assessment 
     2# Category:    feature scoring 
    43# Uses:        measure 
    5 # Referenced:  MeasureAttribute.htm 
     4# Referenced:  Orange.feature.html#scoring 
     5# Classes:     Orange.feature.scoring.attMeasure, Orange.features.scoring.Info, Orange.features.scoring.GainRatio, Orange.features.scoring.Gini, Orange.features.scoring.Relevance, Orange.features.scoring.Cost, Orange.features.scoring.Relief 
    66 
    77import Orange 
  • orange/doc/Orange/rst/code/scoring-info-iris.py

    r7453 r7510  
    1 # Description: Shows how to assess the quality of attributes not in the dataset 
    2 # Category:    attribute quality 
     1# Description: Shows how to assess the quality of features not in the dataset 
     2# Category:    feature scoring 
    33# Uses:        iris 
    44# Referenced:  Orange.feature.html#scoring 
  • orange/doc/Orange/rst/code/scoring-info-lenses.py

    r7453 r7510  
    11# Description: Shows how to assess the quality of attributes 
    2 # Category:    attribute quality 
     2# Category:    feature scoring 
    33# Uses:        lenses 
    44# Referenced:  Orange.feature.html#scoring 
    5 # Classes:     MeasureAttribute, MeasureAttribute_info,  
     5# Classes:     Orange.feature.scoring.Measure, Orange.features.scoring.Info 
    66 
    77import Orange 
  • orange/doc/Orange/rst/code/scoring-relief-gainRatio.py

    r7453 r7510  
    11# Description: Ranking of features with two different measures (Relief and gain ratio) 
    22# Category:    feature scoring 
    3 # Uses:        voting.tab 
     3# Uses:        voting 
    44# Referenced:  Orange.feature.html#scoring 
    55# Classes:     Orange.feature.scoring.attMeasure, Orange.features.scoring.GainRatio 
  • orange/doc/Orange/rst/code/selection-bayes.py

    r7424 r7510  
    11# Description: Compares naive Bayes with and without feature subset selection 
    22# Category:    feature selection 
    3 # Uses:        voting.tab 
     3# Uses:        voting 
    44# Referenced:  Orange.feature.html#selection 
    55# Classes:     Orange.feature.scoring.attMeasure, Orange.feature.selection.bestNAtts 
  • orange/doc/Orange/rst/code/selection-filtered-learner.py

    r7424 r7510  
    44#              ten-fold cross validation) attributes was used the most. 
    55# Category:    feature selection 
    6 # Uses:        voting.tab 
     6# Uses:        voting 
    77# Referenced:  Orange.feature.html#selection 
    88# Classes:     Orange.feature.selection.FilteredLearner 
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