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m_ASEval
- Variable in class weka.attributeSelection.
RerankingSearch
attribute set evaluator applied in search
m_attributes_merits_globalIndexes
- Variable in class weka.attributeSelection.
RerankingSearch
merit of each attribute evaluated by m_univariateEvaluator position i referes to attribute i in training data
m_B
- Variable in class weka.attributeSelection.
RerankingSearch
Block size
m_blocksSearched
- Variable in class weka.attributeSelection.
RerankingSearch
Total number of blocks over which search was performed
m_informationBasedEvaluator
- Variable in class weka.attributeSelection.
RerankingSearch
Uni-varaite Attribute evaluator respect to the class.
m_ranking
- Variable in class weka.attributeSelection.
RerankingSearch
ranking of attributes in decreasing order given m_univariateEvaluator
m_rerankingTime_ms
- Variable in class weka.attributeSelection.
RerankingSearch
Time (ms) spent in re-ranking
m_rerankMethod
- Variable in class weka.attributeSelection.
RerankingSearch
Re-rank method
m_searchAlgorithm
- Variable in class weka.attributeSelection.
RerankingSearch
search algorithm applied over block to select attributes
m_searchTime_ms
- Variable in class weka.attributeSelection.
RerankingSearch
Total time (ms) spent in search
m_selected
- Variable in class weka.attributeSelection.
RerankingSearch
selected attributes
MIFS
- Static variable in class weka.attributeSelection.
RerankingSearch
Battiti's Mutual Information-Based Feature Selection
minMaxOrder(double[][])
- Method in class weka.attributeSelection.
RerankingSearch
MRMR
- Static variable in class weka.attributeSelection.
RerankingSearch
Peng's Max-Relevance and Min-Redundancy
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