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Java NominalMapping.size方法代码示例

本文整理汇总了Java中com.rapidminer.example.table.NominalMapping.size方法的典型用法代码示例。如果您正苦于以下问题：Java NominalMapping.size方法的具体用法？Java NominalMapping.size怎么用？Java NominalMapping.size使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类com.rapidminer.example.table.NominalMapping的用法示例。


在下文中一共展示了NominalMapping.size方法的11个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: learn

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
@Override
public Model learn(ExampleSet exampleSet) throws OperatorException {
	int numberOfNumericalAttributes = 0;
	for (Attribute attribute : exampleSet.getAttributes()) {
		this.checkForStop();
		if (attribute.isNumerical()) {
			numberOfNumericalAttributes++;
		}
	}

	NominalMapping labelMapping = exampleSet.getAttributes().getLabel().getMapping();
	String[] labelValues = new String[labelMapping.size()];
	for (int i = 0; i < labelMapping.size(); i++) {
		this.checkForStop();
		labelValues[i] = labelMapping.mapIndex(i);
	}

	Matrix[] meanVectors = getMeanVectors(exampleSet, numberOfNumericalAttributes, labelValues);
	Matrix[] inverseCovariance = getInverseCovarianceMatrices(exampleSet, labelValues);

	return getModel(exampleSet, labelValues, meanVectors, inverseCovariance,
			getAprioriProbabilities(exampleSet, labelValues));
}
开发者ID:transwarpio，项目名称:rapidminer，代码行数:24，代码来源:LinearDiscriminantAnalysis.java

示例2: learn

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
@Override
public Model learn(ExampleSet exampleSet) throws OperatorException {
	int numberOfNumericalAttributes = 0;
	for (Attribute attribute : exampleSet.getAttributes()) {
		this.checkForStop();
		if (attribute.isNumerical()) {
			numberOfNumericalAttributes++;
		}
	}

	NominalMapping labelMapping = exampleSet.getAttributes().getLabel().getMapping();
	String[] labelValues = new String[labelMapping.size()];
	for (int i = 0; i < labelMapping.size(); i++) {
		this.checkForStop();
		labelValues[i] = labelMapping.mapIndex(i);
	}

	Matrix[] meanVectors = getMeanVectors(exampleSet, numberOfNumericalAttributes, labelValues);
	Matrix[] inverseCovariance = getInverseCovarianceMatrices(exampleSet, labelValues);

	return getModel(exampleSet, labelValues, meanVectors, inverseCovariance);
}
开发者ID:rapidminer，项目名称:rapidminer-studio，代码行数:23，代码来源:RegularizedDiscriminantAnalysis.java

示例3: learn

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
public Model learn(ExampleSet exampleSet) throws OperatorException {
	int numberOfNumericalAttributes = 0;
	for (Attribute attribute: exampleSet.getAttributes()) {
		if (attribute.isNumerical()) {
			numberOfNumericalAttributes++;	
		}
	}

	NominalMapping labelMapping = exampleSet.getAttributes().getLabel().getMapping();
	String[] labelValues = new String[labelMapping.size()];
	for (int i = 0; i < labelMapping.size(); i++) {
		labelValues[i] = labelMapping.mapIndex(i);	
	}


	Matrix[] meanVectors = getMeanVectors(exampleSet, numberOfNumericalAttributes, labelValues);
	Matrix[] inverseCovariance = getInverseCovarianceMatrices(exampleSet, labelValues);

	return getModel(exampleSet, labelValues, meanVectors, inverseCovariance, getAprioriProbabilities(exampleSet, labelValues));
}
开发者ID:rapidminer，项目名称:rapidminer-5，代码行数:21，代码来源:LinearDiscriminantAnalysis.java

示例4: isNominalMappingSubsetOrEqualTo

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
/**
 * Check if the childMapping is a subset of the superMapping or equal to it.
 *
 * @param childMapping
 *            the potential subset you want to check
 * @param superMapping
 *            the {@link NominalMapping} you want to check against
 * @return will return true if the {@link NominalMapping} is a subset or equal else false will
 *         be returned
 */
public static boolean isNominalMappingSubsetOrEqualTo(NominalMapping childMapping, NominalMapping superMapping) {
	if (childMapping.size() > superMapping.size()) {
		return false;
	}
	List<String> superList = superMapping.getValues();
	for (String value : childMapping.getValues()) {
		if (!superList.contains(value)) {
			return false;
		}
	}
	return true;
}
开发者ID:transwarpio，项目名称:rapidminer，代码行数:23，代码来源:Tools.java

示例5: apply

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	// searching confidence attributes
	Attributes attributes = exampleSet.getAttributes();
	Attribute predictedLabel = attributes.getPredictedLabel();
	if (predictedLabel == null) {
		throw new UserError(this, 107);
	}

	NominalMapping mapping = predictedLabel.getMapping();
	int numberOfLabels = mapping.size();
	Attribute[] confidences = new Attribute[numberOfLabels];
	String[] labelValue = new String[numberOfLabels];
	int i = 0;
	for (String value : mapping.getValues()) {
		labelValue[i] = value;
		confidences[i] = attributes.getConfidence(value);
		if (confidences[i] == null) {
			throw new UserError(this, 154, value);
		}
		i++;
	}

	// generating new prediction attributes
	int k = Math.min(numberOfLabels, getParameterAsInt(PARAMETER_NUMBER_OF_RANKS));
	Attribute[] kthPredictions = new Attribute[k];
	Attribute[] kthConfidences = new Attribute[k];
	for (i = 0; i < k; i++) {
		kthPredictions[i] = AttributeFactory.createAttribute(predictedLabel.getValueType());
		kthPredictions[i].setName(predictedLabel.getName() + "_" + (i + 1));
		kthPredictions[i].setMapping((NominalMapping) predictedLabel.getMapping().clone());
		kthConfidences[i] = AttributeFactory.createAttribute(Ontology.REAL);
		kthConfidences[i].setName(Attributes.CONFIDENCE_NAME + "_" + (i + 1));
		attributes.addRegular(kthPredictions[i]);
		attributes.addRegular(kthConfidences[i]);
		attributes.setSpecialAttribute(kthPredictions[i], Attributes.PREDICTION_NAME + "_" + (i + 1));
		attributes.setSpecialAttribute(kthConfidences[i], Attributes.CONFIDENCE_NAME + "_" + (i + 1));
	}
	exampleSet.getExampleTable().addAttributes(Arrays.asList(kthConfidences));
	exampleSet.getExampleTable().addAttributes(Arrays.asList(kthPredictions));

	// now setting values
	for (Example example : exampleSet) {
		ArrayList<Tupel<Double, Integer>> labelConfidences = new ArrayList<Tupel<Double, Integer>>(numberOfLabels);
		for (i = 0; i < numberOfLabels; i++) {
			labelConfidences.add(new Tupel<Double, Integer>(example.getValue(confidences[i]), i));
		}
		Collections.sort(labelConfidences);
		for (i = 0; i < k; i++) {
			Tupel<Double, Integer> tupel = labelConfidences.get(numberOfLabels - i - 1);
			example.setValue(kthPredictions[i], tupel.getSecond()); // Can use index since
																	// mapping has been cloned
																	// from above
			example.setValue(kthConfidences[i], tupel.getFirst());
		}
	}

	// deleting old prediction / confidences
	attributes.remove(predictedLabel);
	if (getParameterAsBoolean(PARAMETER_REMOVE_OLD_PREDICTIONS)) {
		for (i = 0; i < confidences.length; i++) {
			attributes.remove(confidences[i]);
		}
	}

	return exampleSet;
}
开发者ID:transwarpio，项目名称:rapidminer，代码行数:68，代码来源:GeneratePredictionRankingOperator.java

示例6: doWork

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
@Override
public void doWork() throws OperatorException {
	// sanity checks
	ExampleSet exampleSet = exampleSetInput.getData(ExampleSet.class);

	// checking preconditions
	Attribute label = exampleSet.getAttributes().getLabel();
	if (label == null) {
		throw new UserError(this, 105);
	}
	if (!label.isNominal()) {
		throw new UserError(this, 101, label, "threshold finding");
	}
	exampleSet.recalculateAttributeStatistics(label);
	NominalMapping mapping = label.getMapping();
	if (mapping.size() != 2) {
		throw new UserError(this, 118, new Object[] { label, Integer.valueOf(mapping.getValues().size()),
				Integer.valueOf(2) });
	}
	if (exampleSet.getAttributes().getPredictedLabel() == null) {
		throw new UserError(this, 107);
	}
	boolean useExplictLabels = getParameterAsBoolean(PARAMETER_DEFINE_LABELS);

	double secondCost = getParameterAsDouble(PARAMETER_MISCLASSIFICATION_COSTS_SECOND);
	double firstCost = getParameterAsDouble(PARAMETER_MISCLASSIFICATION_COSTS_FIRST);
	if (useExplictLabels) {
		String firstLabel = getParameterAsString(PARAMETER_FIRST_LABEL);
		String secondLabel = getParameterAsString(PARAMETER_SECOND_LABEL);

		if (mapping.getIndex(firstLabel) == -1) {
			throw new UserError(this, 143, firstLabel, label.getName());
		}
		if (mapping.getIndex(secondLabel) == -1) {
			throw new UserError(this, 143, secondLabel, label.getName());
		}

		// if explicit order differs from order in data: internally swap costs.
		if (mapping.getIndex(firstLabel) > mapping.getIndex(secondLabel)) {
			double temp = firstCost;
			firstCost = secondCost;
			secondCost = temp;
		}
	}

	// check whether the confidence attributes are available
	if (exampleSet.getAttributes().getConfidence(mapping.getPositiveString()) == null) {
		throw new UserError(this, 113, Attributes.CONFIDENCE_NAME + "_" + mapping.getPositiveString());
	}
	if (exampleSet.getAttributes().getConfidence(mapping.getNegativeString()) == null) {
		throw new UserError(this, 113, Attributes.CONFIDENCE_NAME + "_" + mapping.getNegativeString());
	}
	// create ROC data
	ROCDataGenerator rocDataGenerator = new ROCDataGenerator(firstCost, secondCost);
	ROCData rocData = rocDataGenerator.createROCData(exampleSet, getParameterAsBoolean(PARAMETER_USE_EXAMPLE_WEIGHTS),
			ROCBias.getROCBiasParameter(this));

	// create plotter
	if (getParameterAsBoolean(PARAMETER_SHOW_ROC_PLOT)) {
		rocDataGenerator.createROCPlotDialog(rocData, true, true);
	}

	// create and return output
	exampleSetOutput.deliver(exampleSet);
	thresholdOutput.deliver(new Threshold(rocDataGenerator.getBestThreshold(), mapping.getNegativeString(), mapping
			.getPositiveString()));
}
开发者ID:transwarpio，项目名称:rapidminer，代码行数:68，代码来源:ThresholdFinder.java

示例7: apply

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	Attribute attribute = exampleSet.getAttributes().get(getParameterAsString(PARAMETER_ATTRIBUTE_NAME));

	// some checks
	if (attribute == null) {
		throw new AttributeNotFoundError(this, PARAMETER_ATTRIBUTE_NAME, getParameterAsString(PARAMETER_ATTRIBUTE_NAME));
	}
	if (!attribute.isNominal()) {
		throw new UserError(this, 119, new Object[] { attribute.getName(), this.getName() });
	}

	String newValue = getParameterAsString(PARAMETER_NEW_VALUE);

	if (attribute instanceof BinominalAttribute) {
		Attribute newAttribute = AttributeFactory.createAttribute(Ontology.NOMINAL);
		ExampleTable table = exampleSet.getExampleTable();
		table.addAttribute(newAttribute);

		NominalMapping originalMapping = attribute.getMapping();
		NominalMapping newMapping = newAttribute.getMapping();
		for (int i = 0; i < originalMapping.size(); i++) {
			newMapping.mapString(originalMapping.mapIndex(i));
		}
		newAttribute.getMapping().mapString(newValue);

		for (Example example : exampleSet) {
			example.setValue(newAttribute, example.getValue(attribute));
		}

		exampleSet.getAttributes().addRegular(newAttribute);
		AttributeRole role = exampleSet.getAttributes().getRole(attribute);

		exampleSet.getAttributes().remove(attribute);

		newAttribute.setName(attribute.getName());
		if (role.isSpecial()) {
			exampleSet.getAttributes().setSpecialAttribute(newAttribute, role.getSpecialName());
		}
	} else {
		attribute.getMapping().mapString(newValue);
	}

	return exampleSet;
}
开发者ID:transwarpio，项目名称:rapidminer，代码行数:46，代码来源:AddNominalValue.java

示例8: doWork

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
@Override
public void doWork() throws OperatorException {
	// sanity checks
	ExampleSet exampleSet = exampleSetInput.getData(ExampleSet.class);

	// checking preconditions
	Tools.hasNominalLabels(exampleSet, getOperatorClassName());
	Attribute label = exampleSet.getAttributes().getLabel();
	exampleSet.recalculateAttributeStatistics(label);
	NominalMapping mapping = label.getMapping();
	if (mapping.size() != 2) {
		throw new UserError(this, 118, label, Integer.valueOf(mapping.getValues().size()), Integer.valueOf(2));
	}
	if (exampleSet.getAttributes().getPredictedLabel() == null) {
		throw new UserError(this, 107);
	}
	boolean useExplictLabels = getParameterAsBoolean(PARAMETER_DEFINE_LABELS);

	double secondCost = getParameterAsDouble(PARAMETER_MISCLASSIFICATION_COSTS_SECOND);
	double firstCost = getParameterAsDouble(PARAMETER_MISCLASSIFICATION_COSTS_FIRST);
	if (useExplictLabels) {
		String firstLabel = getParameterAsString(PARAMETER_FIRST_LABEL);
		String secondLabel = getParameterAsString(PARAMETER_SECOND_LABEL);

		if (mapping.getIndex(firstLabel) == -1) {
			throw new UserError(this, 143, firstLabel, label.getName());
		}
		if (mapping.getIndex(secondLabel) == -1) {
			throw new UserError(this, 143, secondLabel, label.getName());
		}

		// if explicit order differs from order in data: internally swap costs.
		if (mapping.getIndex(firstLabel) > mapping.getIndex(secondLabel)) {
			double temp = firstCost;
			firstCost = secondCost;
			secondCost = temp;
		}
	}

	// check whether the confidence attributes are available
	if (exampleSet.getAttributes().getConfidence(mapping.getPositiveString()) == null) {
		throw new UserError(this, 113, Attributes.CONFIDENCE_NAME + "_" + mapping.getPositiveString());
	}
	if (exampleSet.getAttributes().getConfidence(mapping.getNegativeString()) == null) {
		throw new UserError(this, 113, Attributes.CONFIDENCE_NAME + "_" + mapping.getNegativeString());
	}
	// create ROC data
	ROCDataGenerator rocDataGenerator = new ROCDataGenerator(firstCost, secondCost);
	ROCData rocData = rocDataGenerator.createROCData(exampleSet, getParameterAsBoolean(PARAMETER_USE_EXAMPLE_WEIGHTS),
			ROCBias.getROCBiasParameter(this));

	// create plotter
	if (getParameterAsBoolean(PARAMETER_SHOW_ROC_PLOT)) {
		rocDataGenerator.createROCPlotDialog(rocData, true, true);
	}

	// create and return output
	exampleSetOutput.deliver(exampleSet);
	thresholdOutput.deliver(new Threshold(rocDataGenerator.getBestThreshold(), mapping.getNegativeString(), mapping
			.getPositiveString()));
}
开发者ID:rapidminer，项目名称:rapidminer-studio，代码行数:62，代码来源:ThresholdFinder.java

示例9: apply

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	// searching confidence attributes
	Attributes attributes = exampleSet.getAttributes();
	Attribute predictedLabel = attributes.getPredictedLabel();
	if (predictedLabel == null) {
		throw new UserError(this, 107);
	}
	
	NominalMapping mapping = predictedLabel.getMapping();
	int numberOfLabels = mapping.size();
	Attribute[] confidences = new Attribute[numberOfLabels];
	String[] labelValue = new String[numberOfLabels];
	int i = 0;
	for (String value: mapping.getValues()) {
		labelValue[i] = value;
		confidences[i] = attributes.getConfidence(value);
		if (confidences[i] == null) {
			throw new UserError(this, 154, value);
		}
		i++;
	}
	
	// generating new prediction attributes
	int k = Math.min(numberOfLabels, getParameterAsInt(PARAMETER_NUMBER_OF_RANKS));
	Attribute[] kthPredictions = new Attribute[k];
	Attribute[] kthConfidences = new Attribute[k];
	for (i = 0; i < k; i++) {
		kthPredictions[i] = AttributeFactory.createAttribute(predictedLabel.getValueType());
		kthPredictions[i].setName(predictedLabel.getName() + "_" + (i + 1));
		kthPredictions[i].setMapping((NominalMapping) predictedLabel.getMapping().clone());
		kthConfidences[i] = AttributeFactory.createAttribute(Ontology.REAL);
		kthConfidences[i].setName(Attributes.CONFIDENCE_NAME + "_" + (i + 1));
		attributes.addRegular(kthPredictions[i]);
		attributes.addRegular(kthConfidences[i]);
		attributes.setSpecialAttribute(kthPredictions[i], Attributes.PREDICTION_NAME + "_" + (i + 1));
		attributes.setSpecialAttribute(kthConfidences[i], Attributes.CONFIDENCE_NAME + "_" + (i + 1));
	}
	exampleSet.getExampleTable().addAttributes(Arrays.asList(kthConfidences));
	exampleSet.getExampleTable().addAttributes(Arrays.asList(kthPredictions));
	
	// now setting values
	for (Example example: exampleSet) {
		ArrayList<Tupel<Double, Integer>> labelConfidences = new ArrayList<Tupel<Double,Integer>>(numberOfLabels);
		for (i = 0; i < numberOfLabels; i++) {
			labelConfidences.add(new Tupel<Double, Integer>(example.getValue(confidences[i]), i));
		}
		Collections.sort(labelConfidences);
		for (i = 0; i < k; i++) {
			Tupel<Double, Integer> tupel = labelConfidences.get(numberOfLabels - i - 1);
			example.setValue(kthPredictions[i], tupel.getSecond()); // Can use index since mapping has been cloned from above
			example.setValue(kthConfidences[i], tupel.getFirst());
		}
	}
	
	// deleting old prediction / confidences
	attributes.remove(predictedLabel);
	if (getParameterAsBoolean(PARAMETER_REMOVE_OLD_PREDICTIONS)) {
		for (i = 0; i < confidences.length; i++) {
			attributes.remove(confidences[i]);
		}
	}
	
	return exampleSet;
}
开发者ID:rapidminer，项目名称:rapidminer-5，代码行数:66，代码来源:GeneratePredictionRankingOperator.java

示例10: doWork

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
@Override
public void doWork() throws OperatorException {
    // sanity checks
    ExampleSet exampleSet = exampleSetInput.getData(ExampleSet.class);

    // checking preconditions
    Attribute label = exampleSet.getAttributes().getLabel();
    exampleSet.recalculateAttributeStatistics(label);
    if (label == null)
        throw new UserError(this, 105);
    if (!label.isNominal())
        throw new UserError(this, 101, label, "threshold finding");
    NominalMapping mapping = label.getMapping();
    if (mapping.size() != 2)
        throw new UserError(this, 118, new Object[] { label, Integer.valueOf(mapping.getValues().size()), Integer.valueOf(2) });
    if (exampleSet.getAttributes().getPredictedLabel() == null) {
        throw new UserError(this, 107);
    }
    boolean useExplictLabels = getParameterAsBoolean(PARAMETER_DEFINE_LABELS);


    double secondCost = getParameterAsDouble(PARAMETER_MISCLASSIFICATION_COSTS_SECOND);
    double firstCost = getParameterAsDouble(PARAMETER_MISCLASSIFICATION_COSTS_FIRST);
    if (useExplictLabels) {
        String firstLabel = getParameterAsString(PARAMETER_FIRST_LABEL);
        String secondLabel = getParameterAsString(PARAMETER_SECOND_LABEL);

        if (mapping.getIndex(firstLabel) == -1)
            throw new UserError(this, 143, firstLabel, label.getName());
        if (mapping.getIndex(secondLabel) == -1)
            throw new UserError(this, 143, secondLabel, label.getName());

        // if explicit order differs from order in data: internally swap costs.
        if (mapping.getIndex(firstLabel) > mapping.getIndex(secondLabel)) {
            double temp = firstCost;
            firstCost = secondCost;
            secondCost = temp;
        }
    }


    // create ROC data
    ROCDataGenerator rocDataGenerator = new ROCDataGenerator(firstCost, secondCost);
    ROCData rocData = rocDataGenerator.createROCData(exampleSet, getParameterAsBoolean(PARAMETER_USE_EXAMPLE_WEIGHTS), ROCBias.getROCBiasParameter(this));

    // create plotter
    if (getParameterAsBoolean(PARAMETER_SHOW_ROC_PLOT))
        rocDataGenerator.createROCPlotDialog(rocData, true, true);

    // create and return output
    exampleSetOutput.deliver(exampleSet);
    thresholdOutput.deliver(new Threshold(rocDataGenerator.getBestThreshold(), mapping.getNegativeString(), mapping.getPositiveString()));
}
开发者ID:rapidminer，项目名称:rapidminer-5，代码行数:54，代码来源:ThresholdFinder.java

示例11: apply

import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {		 
	Attribute attribute = exampleSet.getAttributes().get(getParameterAsString(PARAMETER_ATTRIBUTE_NAME));

	// some checks
	if (attribute == null) {
		throw new UserError(this, 111, getParameterAsString(PARAMETER_ATTRIBUTE_NAME));
	}
	if (!attribute.isNominal()) {
		throw new UserError(this, 119, new Object[] { attribute.getName(), this.getName() });
	}

	String newValue = getParameterAsString(PARAMETER_NEW_VALUE);

	if (attribute instanceof BinominalAttribute) {
		Attribute newAttribute = AttributeFactory.createAttribute(Ontology.NOMINAL);
		ExampleTable table = exampleSet.getExampleTable();
		table.addAttribute(newAttribute);

		NominalMapping originalMapping = attribute.getMapping();
		NominalMapping newMapping = newAttribute.getMapping();
		for (int i = 0; i < originalMapping.size(); i++) {
			newMapping.mapString(originalMapping.mapIndex(i));
		}
		newAttribute.getMapping().mapString(newValue);

		for (Example example: exampleSet) {
			example.setValue(newAttribute, example.getValue(attribute));
		}

		exampleSet.getAttributes().addRegular(newAttribute);
		AttributeRole role = exampleSet.getAttributes().getRole(attribute); 

		exampleSet.getAttributes().remove(attribute);
		
		newAttribute.setName(attribute.getName());
		if (role.isSpecial()) {
			exampleSet.getAttributes().setSpecialAttribute(newAttribute, role.getSpecialName());
		}
	}  else {
		attribute.getMapping().mapString(newValue);
	}

	return exampleSet;
}
开发者ID:rapidminer，项目名称:rapidminer-5，代码行数:46，代码来源:AddNominalValue.java


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