m_eval.setFolds(maxSetNum);
/** * 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; }
m_eval.setFolds(maxSetNum);
/** * 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; }
trainSelector.setFolds(folds); trainSelector.setXval(doCrossVal);
trainSelector.setFolds(folds); trainSelector.setXval(doCrossVal);
eval.setEvaluator(evaluator); eval.setSearch(search); eval.setFolds(numFolds); eval.setSeed(seed); if (testMode == 1) {
eval.setEvaluator(evaluator); eval.setSearch(search); eval.setFolds(numFolds); eval.setSeed(seed); if (testMode == 1) {