Java WeightedPerformanceMeasures類代碼示例

本文整理匯總了Java中com.rapidminer.operator.learner.meta.WeightedPerformanceMeasures類的典型用法代碼示例。如果您正苦於以下問題：Java WeightedPerformanceMeasures類的具體用法？Java WeightedPerformanceMeasures怎麽用？Java WeightedPerformanceMeasures使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。

WeightedPerformanceMeasures類屬於com.rapidminer.operator.learner.meta包，在下文中一共展示了WeightedPerformanceMeasures類的3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: apply

import com.rapidminer.operator.learner.meta.WeightedPerformanceMeasures; //導入依賴的package包/類
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	// retrieving and applying model
	PredictionModel model = modelInput.getData(PredictionModel.class);
	exampleSet = model.apply(exampleSet);

	Attribute weightAttr = exampleSet.getAttributes().getWeight();
	if (weightAttr == null) {
		weightAttr = Tools.createWeightAttribute(exampleSet);
	}

	WeightedPerformanceMeasures wp = new WeightedPerformanceMeasures(exampleSet);
	WeightedPerformanceMeasures.reweightExamples(exampleSet, wp.getContingencyMatrix(), true);

	// recalculate weight attribute statistics
	exampleSet.recalculateAttributeStatistics(exampleSet.getAttributes().getWeight());
	double maxWeight = exampleSet.getStatistics(exampleSet.getAttributes().getWeight(), Statistics.MAXIMUM);

	// fill new table
	RandomGenerator randomGenerator = RandomGenerator.getRandomGenerator(this);

	int[] remappingIndices = new int[exampleSet.size()];
	int i = 0;
	for (Example example : exampleSet) {
		if (randomGenerator.nextDouble() > example.getValue(weightAttr) / maxWeight) {
			example.setValue(weightAttr, 1.0d);
			remappingIndices[i] = 1;
		}
		i++;
	}
	checkForStop();
	SplittedExampleSet splittedExampleSet = new SplittedExampleSet(exampleSet, new Partition(remappingIndices, 2));
	splittedExampleSet.selectSingleSubset(1);
	return splittedExampleSet;
}

開發者ID:transwarpio，項目名稱:rapidminer，代碼行數:36，代碼來源:ModelBasedSampling.java

示例2: apply

import com.rapidminer.operator.learner.meta.WeightedPerformanceMeasures; //導入依賴的package包/類
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	// retrieving and applying model
	PredictionModel model = modelInput.getData(PredictionModel.class);
	exampleSet = model.apply(exampleSet);

	Attribute weightAttr = Tools.createWeightAttribute(exampleSet);

	WeightedPerformanceMeasures wp = new WeightedPerformanceMeasures(exampleSet);
	WeightedPerformanceMeasures.reweightExamples(exampleSet, wp.getContingencyMatrix(), true);

	// recalculate weight attribute statistics
	exampleSet.recalculateAttributeStatistics(exampleSet.getAttributes().getWeight());
	double maxWeight = exampleSet.getStatistics(exampleSet.getAttributes().getWeight(), Statistics.MAXIMUM);

	// fill new table
	RandomGenerator randomGenerator = RandomGenerator.getRandomGenerator(this);

	int[] remappingIndices = new int[exampleSet.size()];
	int i = 0;
	for (Example example : exampleSet) {
		if (randomGenerator.nextDouble() > example.getValue(weightAttr) / maxWeight) {
			example.setValue(weightAttr, 1.0d);
			remappingIndices[i] = 1;
		}
		i++;
	}
	checkForStop();
	SplittedExampleSet splittedExampleSet = new SplittedExampleSet(exampleSet, new Partition(remappingIndices, 2));
	splittedExampleSet.selectSingleSubset(1);
	return splittedExampleSet;
}

開發者ID:rapidminer，項目名稱:rapidminer-studio，代碼行數:33，代碼來源:ModelBasedSampling.java

示例3: apply

import com.rapidminer.operator.learner.meta.WeightedPerformanceMeasures; //導入依賴的package包/類
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	// retrieving and applying model
	PredictionModel model = modelInput.getData(PredictionModel.class);
	exampleSet = model.apply(exampleSet);


	Attribute weightAttr = exampleSet.getAttributes().getWeight();
	if (weightAttr == null) {
		weightAttr = Tools.createWeightAttribute(exampleSet);
	}

	WeightedPerformanceMeasures wp = new WeightedPerformanceMeasures(exampleSet);
	WeightedPerformanceMeasures.reweightExamples(exampleSet, wp.getContingencyMatrix(), true);

	// recalculate weight attribute statistics
	exampleSet.recalculateAttributeStatistics(exampleSet.getAttributes().getWeight());
	double maxWeight = exampleSet.getStatistics(exampleSet.getAttributes().getWeight(), Statistics.MAXIMUM);
	
	// fill new table
	RandomGenerator randomGenerator = RandomGenerator.getRandomGenerator(this);

	int[] remappingIndices = new int[exampleSet.size()];
	int i = 0;
	for (Example example: exampleSet) {
		if (randomGenerator.nextDouble() > example.getValue(weightAttr) / maxWeight) {
			example.setValue(weightAttr, 1.0d);
			remappingIndices[i] = 1;
		}
		i++;
	}
	checkForStop();
	SplittedExampleSet splittedExampleSet = new SplittedExampleSet(exampleSet, new Partition(remappingIndices, 2));
	splittedExampleSet.selectSingleSubset(1);
	return splittedExampleSet;
}

開發者ID:rapidminer，項目名稱:rapidminer-5，代碼行數:37，代碼來源:ModelBasedSampling.java

注：本文中的com.rapidminer.operator.learner.meta.WeightedPerformanceMeasures類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。