Java AnovaCalculator.setAlpha方法代碼示例

本文整理匯總了Java中com.rapidminer.tools.math.AnovaCalculator.setAlpha方法的典型用法代碼示例。如果您正苦於以下問題：Java AnovaCalculator.setAlpha方法的具體用法？Java AnovaCalculator.setAlpha怎麽用？Java AnovaCalculator.setAlpha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com.rapidminer.tools.math.AnovaCalculator的用法示例。

在下文中一共展示了AnovaCalculator.setAlpha方法的4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: performSignificanceTest

import com.rapidminer.tools.math.AnovaCalculator; //導入方法依賴的package包/類
@Override
public SignificanceTestResult performSignificanceTest(PerformanceVector[] allVectors, double alpha)
		throws OperatorException {
	AnovaCalculator calculator = new AnovaCalculator();
	calculator.setAlpha(alpha);

	for (int i = 0; i < allVectors.length; i++) {
		PerformanceCriterion pc = allVectors[i].getMainCriterion();
		calculator.addGroup(pc.getAverageCount(), pc.getAverage(), pc.getVariance());
	}

	try {
		SignificanceTestResult testResult = calculator.performSignificanceTest();
		this.probability = testResult.getProbability();
		return testResult;
	} catch (SignificanceCalculationException e) {
		throw new UserError(this, 920, e.getMessage());
	}
}

開發者ID:transwarpio，項目名稱:rapidminer，代碼行數:20，代碼來源:AnovaSignificanceTestOperator.java

示例2: performSignificanceTest

import com.rapidminer.tools.math.AnovaCalculator; //導入方法依賴的package包/類
@Override
public SignificanceTestResult performSignificanceTest(PerformanceVector[] allVectors, double alpha) throws OperatorException {
	AnovaCalculator calculator = new AnovaCalculator();
	calculator.setAlpha(alpha);

	for (int i = 0; i < allVectors.length; i++) {
		PerformanceCriterion pc = allVectors[i].getMainCriterion();
		calculator.addGroup(pc.getAverageCount(), pc.getAverage(), pc.getVariance());
	}

	try {
		SignificanceTestResult testResult = calculator.performSignificanceTest();
		this.probability = testResult.getProbability();
		return testResult;
	} catch (SignificanceCalculationException e) {
		throw new UserError(this, 920, e.getMessage());
	}
}

開發者ID:rapidminer，項目名稱:rapidminer-5，代碼行數:19，代碼來源:AnovaSignificanceTestOperator.java

示例3: apply

import com.rapidminer.tools.math.AnovaCalculator; //導入方法依賴的package包/類
public SignificanceTestResult apply(ExampleSet exampleSet) throws OperatorException {
	// init and checks
	String attributeName = getParameterAsString(PARAMETER_ANOVA_ATTRIBUTE);
	String groupByAttributeName = getParameterAsString(PARAMETER_GROUP_BY_ATTRIBUTE);
	boolean onlyDistinct = getParameterAsBoolean(PARAMETER_ONLY_DISTINCT);

	Attribute anovaAttribute = exampleSet.getAttributes().get(attributeName);
	if (anovaAttribute == null) {
		throw new AttributeNotFoundError(this, PARAMETER_ANOVA_ATTRIBUTE,
				getParameterAsString(PARAMETER_ANOVA_ATTRIBUTE));
	}
	if (anovaAttribute.isNominal()) {
		throw new UserError(this, 104, new Object[] { "anova calculation",
				this.getParameterAsString(PARAMETER_ANOVA_ATTRIBUTE) });
	}

	Attribute groupByAttribute = exampleSet.getAttributes().get(groupByAttributeName);
	if (groupByAttribute == null) {
		throw new AttributeNotFoundError(this, PARAMETER_GROUP_BY_ATTRIBUTE,
				getParameterAsString(PARAMETER_GROUP_BY_ATTRIBUTE));
	}
	if (!groupByAttribute.isNominal()) {
		throw new UserError(this, 103, new Object[] { "the parameter grouping by",
				this.getParameterAsString(PARAMETER_GROUP_BY_ATTRIBUTE) });
	}

	// create anova calculator
	AnovaCalculator anovaCalculator = new AnovaCalculator();
	double alpha = getParameterAsDouble(PARAMETER_SIGNIFICANCE_LEVEL);
	anovaCalculator.setAlpha(alpha);

	// add groups
	SplittedExampleSet grouped = SplittedExampleSet.splitByAttribute(exampleSet, groupByAttribute);
	AggregationFunction meanFunction = new AverageFunction();
	AggregationFunction varianceFunction = new VarianceFunction();
	for (int i = 0; i < grouped.getNumberOfSubsets(); i++) {
		grouped.selectSingleSubset(i);
		double[] values = getValues(grouped, anovaAttribute, onlyDistinct);
		double mean = meanFunction.calculate(values);
		double variance = varianceFunction.calculate(values);
		anovaCalculator.addGroup(grouped.size(), mean, variance);
	}

	// calculate and return result
	SignificanceTestResult result = null;
	try {
		result = anovaCalculator.performSignificanceTest();
	} catch (SignificanceCalculationException e) {
		throw new UserError(this, 920, e.getMessage());
	}

	exampleSetOutput.deliver(exampleSet);

	return result;
}

開發者ID:transwarpio，項目名稱:rapidminer，代碼行數:56，代碼來源:GroupedANOVAOperator.java

示例4: apply

import com.rapidminer.tools.math.AnovaCalculator; //導入方法依賴的package包/類
public SignificanceTestResult apply(ExampleSet exampleSet) throws OperatorException {
	// init and checks
	String attributeName = getParameterAsString(PARAMETER_ANOVA_ATTRIBUTE);
	String groupByAttributeName = getParameterAsString(PARAMETER_GROUP_BY_ATTRIBUTE);
	boolean onlyDistinct = getParameterAsBoolean(PARAMETER_ONLY_DISTINCT);

	Attribute anovaAttribute = exampleSet.getAttributes().get(attributeName);
	if (anovaAttribute == null) {
		throw new UserError(this, 111, this.getParameterAsString(PARAMETER_ANOVA_ATTRIBUTE));
	}
	if (anovaAttribute.isNominal()) {
		throw new UserError(this, 104, new Object[] { "anova calculation", this.getParameterAsString(PARAMETER_ANOVA_ATTRIBUTE)});
	}

	Attribute groupByAttribute = exampleSet.getAttributes().get(groupByAttributeName);
	if (groupByAttribute == null) {
		throw new UserError(this, 111, this.getParameterAsString(PARAMETER_GROUP_BY_ATTRIBUTE));
	}
	if (!groupByAttribute.isNominal()) {
		throw new UserError(this, 103, new Object[] {"the parameter grouping by", this.getParameterAsString(PARAMETER_GROUP_BY_ATTRIBUTE)});
	}

	// create anova calculator
	AnovaCalculator anovaCalculator = new AnovaCalculator();
	double alpha = getParameterAsDouble(PARAMETER_SIGNIFICANCE_LEVEL);
	anovaCalculator.setAlpha(alpha);

	// add groups
	SplittedExampleSet grouped = SplittedExampleSet.splitByAttribute(exampleSet, groupByAttribute);
	AggregationFunction meanFunction = new AverageFunction();
	AggregationFunction varianceFunction = new VarianceFunction();
	for (int i = 0; i < grouped.getNumberOfSubsets(); i++) {
		grouped.selectSingleSubset(i);
		double[] values = getValues(grouped, anovaAttribute, onlyDistinct);
		double mean = meanFunction.calculate(values);
		double variance = varianceFunction.calculate(values);
		anovaCalculator.addGroup(grouped.size(), mean, variance);
	}

	// calculate and return result
	SignificanceTestResult result = null;
	try {
		result = anovaCalculator.performSignificanceTest();
	} catch (SignificanceCalculationException e) {
		throw new UserError(this, 920, e.getMessage());
	}

	exampleSetOutput.deliver(exampleSet);

	return result;
}

開發者ID:rapidminer，項目名稱:rapidminer-5，代碼行數:52，代碼來源:GroupedANOVAOperator.java

注：本文中的com.rapidminer.tools.math.AnovaCalculator.setAlpha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。