- m_classIndex - Variable in class weka.attributeSelection.IWSSembeddedNB
-
index of the class attribute
- m_Disc - Variable in class weka.attributeSelection.IWSSembeddedNB
-
The discretization filter.
- m_evaluator - Variable in class weka.attributeSelection.IWSSembeddedNB
-
evaluator - never used in search
- m_formerSelected - Variable in class weka.attributeSelection.IWSSembeddedNB
-
Number of former attributes in ranking to be straight-forward selected
before running the incremental search.
- m_IWSSfolds - Static variable in class weka.attributeSelection.IWSSembeddedNB
-
Number of folds for the inner cross validation of the IWSS process
- m_minFolds - Variable in class weka.attributeSelection.IWSSembeddedNB
-
Minimum number of folds to be improved when IWSS selects a new attribute.
- m_numClasses - Variable in class weka.attributeSelection.IWSSembeddedNB
-
The number of classes (or 1 for numeric class)
- m_replace - Variable in class weka.attributeSelection.IWSSembeddedNB
-
whether to use the attributes replacement enhancement of the IWSS
algorithm
- m_selected - Variable in class weka.attributeSelection.IWSSembeddedNB
-
selected attributes in the embedded process
- m_skipRanking - Variable in class weka.attributeSelection.IWSSembeddedNB
-
It is set to true if IWSS.setStartSet is called
- m_theta - Variable in class weka.attributeSelection.IWSSembeddedNB
-
value for early stopping: (0-1] (1 means no early stop) percentage of remaining
attributes to visit in the IWSS algorithm
- minFoldsTipText() - Method in class weka.attributeSelection.IWSSembeddedNB
-
Returns the tip text for this property