import weka.attributeSelection.BestFirst; //导入依赖的package包/类
public void selectFeatures(){
	AttributeSelection attSelection = new AttributeSelection();
    CfsSubsetEval eval = new CfsSubsetEval();
    BestFirst search = new BestFirst();
    attSelection.setEvaluator(eval);
    attSelection.setSearch(search);
    try {
		attSelection.SelectAttributes(iris);
		int[] attIndex = attSelection.selectedAttributes();
		System.out.println(Utils.arrayToString(attIndex));
	} catch (Exception e) {
	}
}
 

import weka.attributeSelection.BestFirst; //导入依赖的package包/类
public void selectFeaturesWithFilter(){
	weka.filters.supervised.attribute.AttributeSelection filter = new weka.filters.supervised.attribute.AttributeSelection();
    CfsSubsetEval eval = new CfsSubsetEval();
    BestFirst search = new BestFirst();
    filter.setEvaluator(eval);
    filter.setSearch(search);
    try {
		filter.setInputFormat(iris);
		Instances newData = Filter.useFilter(iris, filter);
		System.out.println(newData);
	} catch (Exception e) {
	}
}
 

import weka.attributeSelection.BestFirst; //导入依赖的package包/类
/**
 * set options to their default values
 */
protected void resetOptions() {

  m_trainSelector = new weka.attributeSelection.AttributeSelection();
  setEvaluator(new CfsSubsetEval());
  setSearch(new BestFirst());
  m_SelectedAttributes = null;
}
 

import weka.attributeSelection.BestFirst; //导入依赖的package包/类
/**
 * set options to their default values
 */
protected void resetOptions() {

  m_trainSelector = new weka.attributeSelection.AttributeSelection();
  setEvaluator(new CfsSubsetEval());
  setSearch(new BestFirst());
  m_SelectedAttributes = null;
  m_FilterOptions = null;
}
 

import weka.attributeSelection.BestFirst; //导入依赖的package包/类
public Instances filterCFS_BestFirst(Instances data) throws Exception {
    weka.filters.supervised.attribute.AttributeSelection filter = new weka.filters.supervised.attribute.AttributeSelection();
    CfsSubsetEval eval = new CfsSubsetEval();
    BestFirst search = new BestFirst();
    filter.setEvaluator(eval);
    filter.setSearch(search);
    filter.setInputFormat(data);
    Instances newData = Filter.useFilter(data, filter);
    return newData;
}
 

import weka.attributeSelection.BestFirst; //导入依赖的package包/类
public Instances filterConsinstency_BestFirst(Instances data) throws Exception {
    weka.filters.supervised.attribute.AttributeSelection filter = new weka.filters.supervised.attribute.AttributeSelection();
    CfsSubsetEval eval = new CfsSubsetEval();
    BestFirst search = new BestFirst();
    filter.setEvaluator(eval);
    filter.setSearch(search);
    filter.setInputFormat(data);
    Instances newData = Filter.useFilter(data, filter);
    return newData;
}
 

import weka.attributeSelection.BestFirst; //导入依赖的package包/类
public Instances filterFilteredCSF_BestFirst(Instances data) throws Exception {
    weka.filters.supervised.attribute.AttributeSelection filter = new weka.filters.supervised.attribute.AttributeSelection();
    CfsSubsetEval eval = new CfsSubsetEval();
    BestFirst search = new BestFirst();
    filter.setEvaluator(eval);
    filter.setSearch(search);
    filter.setInputFormat(data);
    Instances newData = Filter.useFilter(data, filter);
    return newData;
}