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Java Instances.enumerateInstances方法代碼示例

本文整理匯總了Java中weka.core.Instances.enumerateInstances方法的典型用法代碼示例。如果您正苦於以下問題：Java Instances.enumerateInstances方法的具體用法？Java Instances.enumerateInstances怎麽用？Java Instances.enumerateInstances使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類weka.core.Instances的用法示例。


在下文中一共展示了Instances.enumerateInstances方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。

示例1: computeOmegaDelta

import weka.core.Instances; //導入方法依賴的package包/類
private static double computeOmegaDelta(M5P model, M5P modelPi, Instances omega) throws Exception{
	double retval = 0., y;
	Enumeration<Instance> enu = omega.enumerateInstances();
	int idxClass = omega.classIndex();
	Instance ins;
	while(enu.hasMoreElements()){
		ins = enu.nextElement();
		y = ins.value(idxClass);
		retval += Math.pow(y-model.classifyInstance(ins), 2)-Math.pow(y-modelPi.classifyInstance(ins), 2);
	}
	return retval;
}
開發者ID:zhuyuqing，項目名稱:bestconf，代碼行數:13，代碼來源:COMT2.java

示例2: testCOMT2

import weka.core.Instances; //導入方法依賴的package包/類
public static void testCOMT2() throws Exception{
	BestConf bestconf = new BestConf();
	Instances trainingSet = DataIOFile.loadDataFromArffFile("data/trainingBestConf0.arff");
	trainingSet.setClassIndex(trainingSet.numAttributes()-1);
	
	Instances samplePoints = LHSInitializer.getMultiDimContinuous(bestconf.getAttributes(), InitialSampleSetSize, false);
	samplePoints.insertAttributeAt(trainingSet.classAttribute(), samplePoints.numAttributes());
	samplePoints.setClassIndex(samplePoints.numAttributes()-1);
	
	COMT2 comt = new COMT2(samplePoints, COMT2Iteration);
	
	comt.buildClassifier(trainingSet);
	
	Evaluation eval = new Evaluation(trainingSet);
	eval.evaluateModel(comt, trainingSet);
	System.err.println(eval.toSummaryString());
	
	Instance best = comt.getInstanceWithPossibleMaxY(samplePoints.firstInstance());
	Instances bestInstances = new Instances(trainingSet,2);
	bestInstances.add(best);
	DataIOFile.saveDataToXrffFile("data/trainingBestConf_COMT2.arff", bestInstances);
	
	//now we output the training set with the class value updated as the predicted value
	Instances output = new Instances(trainingSet, trainingSet.numInstances());
	Enumeration<Instance> enu = trainingSet.enumerateInstances();
	while(enu.hasMoreElements()){
		Instance ins = enu.nextElement();
		double[] values = ins.toDoubleArray();
		values[values.length-1] = comt.classifyInstance(ins);
		output.add(ins.copy(values));
	}
	DataIOFile.saveDataToXrffFile("data/trainingBestConf0_predict.xrff", output);
}
開發者ID:zhuyuqing，項目名稱:bestconf，代碼行數:34，代碼來源:BestConf.java

示例3: scaleDownNeighbordists

import weka.core.Instances; //導入方法依賴的package包/類
private static ArrayList<Attribute> scaleDownNeighbordists(Instances previousSet, Instance center){
	ArrayList<Attribute> localAtts = new ArrayList<Attribute>();
	int attNum = center.numAttributes();
	
	int pos = -1;
	if(previousSet.attribute(PerformanceAttName)!=null)
		pos = previousSet.attribute(PerformanceAttName).index();
	
	//traverse each dimension
	Enumeration<Instance> enu;
	double[] minDists = new double[2];
	double val;
	for(int i=0;i<attNum;i++){
		if(i==pos)
			continue;
		
		enu = previousSet.enumerateInstances();
		minDists[0] = 1-Double.MAX_VALUE;
		minDists[1] = Double.MAX_VALUE;
		
		while(enu.hasMoreElements()){
			Instance ins = enu.nextElement();
			if(!ins.equals(center)){
				val = ins.value(i)-center.value(i);
				if(val<0)
					minDists[0] = Math.max((double)((int)((ins.value(i)-center.value(i))*1000))/1000.0, minDists[0]);
				else
					minDists[1] = Math.min((double)((int)((ins.value(i)-center.value(i))*1000))/1000.0, minDists[1]);
			}
		}
		
		//now we set the range
		Properties p1 = new Properties();
		double upper = center.value(i)+minDists[1], lower=center.value(i)+minDists[0];
		
		TreeSet<Double> detourSet = new TreeSet<Double>();
		detourSet.add(upper);
		detourSet.add(lower);
		detourSet.add(previousSet.attribute(i).getUpperNumericBound());
		detourSet.add(previousSet.attribute(i).getLowerNumericBound());
		switch(detourSet.size()){
		case 1:
			upper=lower=detourSet.first();
			break;
		case 2:
			upper = detourSet.last();
			lower = detourSet.first();
			break;
		case 3:
			upper=lower=detourSet.higher(detourSet.first());
			break;
		default://case 4:
			upper=detourSet.lower(detourSet.last());
			lower=detourSet.higher(detourSet.first());
			break;
		}
		
		p1.setProperty("range", "["+String.valueOf(lower)+","+String.valueOf(upper)+"]");
		ProtectedProperties prop1 = new ProtectedProperties(p1);
		
		localAtts.add(new Attribute(previousSet.attribute(i).name(), prop1));
	}
	
	return localAtts;
}
開發者ID:zhuyuqing，項目名稱:bestconf，代碼行數:66，代碼來源:ConfigSampler.java

示例4: scaleDownMindists

import weka.core.Instances; //導入方法依賴的package包/類
private static ArrayList<Attribute> scaleDownMindists(Instances previousSet, Instance center){
	ArrayList<Attribute> localAtts = new ArrayList<Attribute>();
	int attNum = center.numAttributes();
	
	int pos = previousSet.attribute(PerformanceAttName).index();
	
	//traverse each dimension
	Enumeration<Instance> enu;
	double minDis;
	for(int i=0;i<attNum;i++){
		if(i==pos)
			continue;
		
		enu = previousSet.enumerateInstances();
		minDis = Double.MAX_VALUE;
		
		while(enu.hasMoreElements()){
			Instance ins = enu.nextElement();
			if(!ins.equals(center))
				minDis = Math.min((double)((int)(Math.abs(ins.value(i)-center.value(i))*1000))/1000.0, minDis);
		}
		
		//now we set the range
		Properties p1 = new Properties();
		double upper = center.value(i)+minDis, lower=center.value(i)-minDis;
		
		TreeSet<Double> detourSet = new TreeSet<Double>();
		detourSet.add(upper);
		detourSet.add(lower);
		detourSet.add(previousSet.attribute(i).getUpperNumericBound());
		detourSet.add(previousSet.attribute(i).getLowerNumericBound());
		switch(detourSet.size()){
		case 1:
			upper=lower=detourSet.first();
			break;
		case 2:
			upper = detourSet.last();
			lower = detourSet.first();
			break;
		case 3:
			upper=lower=detourSet.higher(detourSet.first());
			break;
		default://case 4:
			upper=detourSet.lower(detourSet.last());
			lower=detourSet.higher(detourSet.first());
			break;
		}
		
		p1.setProperty("range", "["+String.valueOf(lower)+","+String.valueOf(upper)+"]");
		ProtectedProperties prop1 = new ProtectedProperties(p1);
		
		localAtts.add(new Attribute(previousSet.attribute(i).name(), prop1));
	}
	
	return localAtts;
}
開發者ID:zhuyuqing，項目名稱:bestconf，代碼行數:57，代碼來源:ConfigSampler.java

示例5: scaleDownDetour

import weka.core.Instances; //導入方法依賴的package包/類
public static ArrayList<Attribute> scaleDownDetour(Instances previousSet, Instance center){
	ArrayList<Attribute> localAtts = new ArrayList<Attribute>();
	int attNum = center.numAttributes();
	
	int pos = previousSet.attribute(PerformanceAttName).index();
	
	//traverse each dimension
	Enumeration<Instance> enu;
	double minDis;
	for(int i=0;i<attNum;i++){
		if(i==pos)
			continue;
		
		enu = previousSet.enumerateInstances();
		minDis = Double.MAX_VALUE;
		
		while(enu.hasMoreElements()){
			Instance ins = enu.nextElement();
			if(!ins.equals(center))
				minDis = Math.min((double)((int)(Math.abs(ins.value(i)-center.value(i))*100))/100.0, minDis);
		}
		
		//now we set the range
		Properties p1 = new Properties();
		double upper = center.value(i)+minDis, lower=center.value(i)-minDis;
		
		TreeSet<Double> detourSet = new TreeSet<Double>();
		detourSet.add(upper);
		detourSet.add(lower);
		detourSet.add(previousSet.attribute(i).getUpperNumericBound());
		detourSet.add(previousSet.attribute(i).getLowerNumericBound());
		switch(detourSet.size()){
		case 1:
			upper=lower=detourSet.first();
			break;
		case 2:
			upper = detourSet.last();
			lower = detourSet.first();
			break;
		case 3:
			upper=lower=detourSet.higher(detourSet.first());
			break;
		default://case 4:
			upper=detourSet.lower(detourSet.last());
			lower=detourSet.higher(detourSet.first());
			break;
		}
		
		p1.setProperty("range", "["+String.valueOf(lower)+","+String.valueOf(upper)+"]");
		ProtectedProperties prop1 = new ProtectedProperties(p1);
		
		localAtts.add(new Attribute(previousSet.attribute(i).name(), prop1));
	}
	
	return localAtts;
}
開發者ID:zhuyuqing，項目名稱:bestconf，代碼行數:57，代碼來源:BestConf.java


注：本文中的weka.core.Instances.enumerateInstances方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。