/** Creates a default BestFirst */ public ASSearch getSearch() { return new GreedyStepwise(); }
/** Creates a default BestFirst */ public ASSearch getSearch() { return new GreedyStepwise(); }
/** Creates a default GreedyStepwise */ public ASSearch getSearch() { return new GreedyStepwise(); }
/** Creates a default GreedyStepwise */ public ASSearch getSearch() { return new GreedyStepwise(); }
/** Creates a default GreedyStepwise */ public ASSearch getSearch() { return new GreedyStepwise(); }
/** Creates a default GreedyStepwise */ public ASSearch getSearch() { return new GreedyStepwise(); }
/** Creates a default GreedyStepwise */ public ASSearch getSearch() { return new GreedyStepwise(); }
/** * constructor. Sets defaults for each member varaible. Default attribute * evaluator is CfsSubsetEval; default search method is BestFirst. */ public AttributeSelection() { setFolds(10); setRanking(false); setXval(false); setSeed(1); setEvaluator(new CfsSubsetEval()); setSearch(new GreedyStepwise()); m_selectionResults = new StringBuffer(); m_selectedAttributeSet = null; m_attributeRanking = null; }
/** * constructor. Sets defaults for each member varaible. Default attribute * evaluator is CfsSubsetEval; default search method is BestFirst. */ public AttributeSelection() { setFolds(10); setRanking(false); setXval(false); setSeed(1); setEvaluator(new CfsSubsetEval()); setSearch(new GreedyStepwise()); m_selectionResults = new StringBuffer(); m_selectedAttributeSet = null; m_attributeRanking = null; }
GreedyStepwise fs = new GreedyStepwise(); double[][] rankres; fs.setGenerateRanking(true);
if (result == JOptionPane.YES_OPTION) { m_AttributeSearchEditor .setValue(new weka.attributeSelection.GreedyStepwise()); } else {
if (result == JOptionPane.YES_OPTION) { m_AttributeSearchEditor .setValue(new weka.attributeSelection.GreedyStepwise()); } else {
GreedyStepwise search = new GreedyStepwise(); search.setSearchBackwards(this.backwardSelection);