Java SimpleExampleSet类代码示例

import com.rapidminer.example.set.SimpleExampleSet; //导入依赖的package包/类
/**
 * Returns a new example set with all attributes switched on. The given attributes will be used
 * as a special label attribute for learning, as (example) weight attribute, and as id
 * attribute.
 */
@Override
public ExampleSet createExampleSet(Attribute labelAttribute, Attribute weightAttribute, Attribute idAttribute) {
	Map<Attribute, String> specialAttributes = new HashMap<>();
	if (labelAttribute != null) {
		specialAttributes.put(labelAttribute, Attributes.LABEL_NAME);
	}
	if (weightAttribute != null) {
		specialAttributes.put(weightAttribute, Attributes.WEIGHT_NAME);
	}
	if (idAttribute != null) {
		specialAttributes.put(idAttribute, Attributes.ID_NAME);
	}
	return new SimpleExampleSet(this, specialAttributes);
}
 

import com.rapidminer.example.set.SimpleExampleSet; //导入依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	// perform stratified sampling
	SplittedExampleSet splittedExampleSet = new SplittedExampleSet(exampleSet, getRatio(exampleSet),
			SplittedExampleSet.STRATIFIED_SAMPLING,
			getParameterAsBoolean(RandomGenerator.PARAMETER_USE_LOCAL_RANDOM_SEED),
			getParameterAsInt(RandomGenerator.PARAMETER_LOCAL_RANDOM_SEED));
	splittedExampleSet.selectSingleSubset(0);

	// fill new table
	List<DataRow> dataList = new LinkedList<DataRow>();
	Iterator<Example> reader = splittedExampleSet.iterator();
	while (reader.hasNext()) {
		Example example = reader.next();
		dataList.add(example.getDataRow());
		checkForStop();
	}

	List<Attribute> attributes = Arrays.asList(splittedExampleSet.getExampleTable().getAttributes());
	ExampleTable exampleTable = new MemoryExampleTable(attributes, new ListDataRowReader(dataList.iterator()));

	// regular attributes
	List<Attribute> regularAttributes = new LinkedList<Attribute>();
	for (Attribute attribute : exampleSet.getAttributes()) {
		regularAttributes.add(attribute);
	}

	// special attributes
	ExampleSet result = new SimpleExampleSet(exampleTable, regularAttributes);
	Iterator<AttributeRole> special = exampleSet.getAttributes().specialAttributes();
	while (special.hasNext()) {
		AttributeRole role = special.next();
		result.getAttributes().setSpecialAttribute(role.getAttribute(), role.getSpecialName());
	}

	return result;
}
 

import com.rapidminer.example.set.SimpleExampleSet; //导入依赖的package包/类
@Override
public IExampleSet makeStatisticsSet(IDataSet dataSet) throws Exception {
    MemoryDataSet memoryDataSet = new MemoryDataSet(dataSet);
    DataSetReader reader = new DataSetReader(null, memoryDataSet.getColumnMetaData(), true);
    StatisticsSet statSet = new StatisticsSet((SimpleExampleSet) reader.read(memoryDataSet, null));
    return statSet;
}
 

import com.rapidminer.example.set.SimpleExampleSet; //导入依赖的package包/类
/**
 * Returns a new example set with all attributes switched on. The given attributes will be used
 * as a special label attribute for learning, as (example) weight attribute, and as id
 * attribute.
 */
@Override
public ExampleSet createExampleSet(Attribute labelAttribute, Attribute weightAttribute, Attribute idAttribute) {
	Map<Attribute, String> specialAttributes = new LinkedHashMap<>();
	if (labelAttribute != null) {
		specialAttributes.put(labelAttribute, Attributes.LABEL_NAME);
	}
	if (weightAttribute != null) {
		specialAttributes.put(weightAttribute, Attributes.WEIGHT_NAME);
	}
	if (idAttribute != null) {
		specialAttributes.put(idAttribute, Attributes.ID_NAME);
	}
	return new SimpleExampleSet(this, specialAttributes);
}
 

import com.rapidminer.example.set.SimpleExampleSet; //导入依赖的package包/类
/**
 * Returns a new example set with all attributes switched on. The 
 * given attributes will be used as a special label attribute for learning,
 * as (example) weight attribute, and as id attribute.
 */
public ExampleSet createExampleSet(Attribute labelAttribute, Attribute weightAttribute, Attribute idAttribute) {
	Map<Attribute, String> specialAttributes = new HashMap<Attribute, String>();
	if (labelAttribute != null)
		specialAttributes.put(labelAttribute, Attributes.LABEL_NAME);
	if (weightAttribute != null)
		specialAttributes.put(weightAttribute, Attributes.WEIGHT_NAME);
	if (idAttribute != null)
		specialAttributes.put(idAttribute, Attributes.ID_NAME);
	return new SimpleExampleSet(this, specialAttributes);
}
 

import com.rapidminer.example.set.SimpleExampleSet; //导入依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	Tools.onlyNonMissingValues(exampleSet, "Fourier Transform");

	// create new example table
	int numberOfNewExamples = FastFourierTransform.getGreatestPowerOf2LessThan(exampleSet.size()) / 2;
	ExampleTable exampleTable = new MemoryExampleTable(new LinkedList<Attribute>(), new DataRowFactory(DataRowFactory.TYPE_DOUBLE_ARRAY, '.'), numberOfNewExamples);

	// create frequency attribute (for frequency)
	Attribute frequencyAttribute = AttributeFactory.createAttribute("frequency", Ontology.REAL);
	exampleTable.addAttribute(frequencyAttribute);
	DataRowReader drr = exampleTable.getDataRowReader();
	int k = 0;
	while (drr.hasNext()) {
		DataRow dataRow = drr.next();
		dataRow.set(frequencyAttribute, FastFourierTransform.convertFrequency(k++, numberOfNewExamples, exampleSet.size()));
	}

	// create FFT values
	Attribute label = exampleSet.getAttributes().getLabel();

	// add FFT values
	FastFourierTransform fft = new FastFourierTransform(WindowFunction.BLACKMAN_HARRIS);
	SpectrumFilter filter = new SpectrumFilter(SpectrumFilter.NONE);
	for (Attribute current : exampleSet.getAttributes()) {
		if (current.isNumerical()) {
			Complex[] result = fft.getFourierTransform(exampleSet, label, current);
			Peak[] spectrum = filter.filter(result, exampleSet.size());
			// create new attribute and fill table with values
			Attribute newAttribute = AttributeFactory.createAttribute("fft(" + current.getName() + ")", Ontology.REAL);
			exampleTable.addAttribute(newAttribute);
			fillTable(exampleTable, newAttribute, spectrum);
		}
	}

	ExampleSet resultSet = new SimpleExampleSet(exampleTable);

	return resultSet;
}
 

import com.rapidminer.example.set.SimpleExampleSet; //导入依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	// perform stratified sampling
	SplittedExampleSet splittedExampleSet = new SplittedExampleSet(exampleSet, getRatio(exampleSet), SplittedExampleSet.STRATIFIED_SAMPLING, getParameterAsBoolean(RandomGenerator.PARAMETER_USE_LOCAL_RANDOM_SEED), getParameterAsInt(RandomGenerator.PARAMETER_LOCAL_RANDOM_SEED));
	splittedExampleSet.selectSingleSubset(0);

	// fill new table
	List<DataRow> dataList = new LinkedList<DataRow>();
	Iterator<Example> reader = splittedExampleSet.iterator();
	while (reader.hasNext()) {
		Example example = reader.next();
		dataList.add(example.getDataRow());
		checkForStop();
	}

	List<Attribute> attributes = Arrays.asList(splittedExampleSet.getExampleTable().getAttributes());
	ExampleTable exampleTable = new MemoryExampleTable(attributes, new ListDataRowReader(dataList.iterator()));

	// regular attributes
	List<Attribute> regularAttributes = new LinkedList<Attribute>();
	for (Attribute attribute : exampleSet.getAttributes()) {
		regularAttributes.add(attribute);
	}

	// special attributes
	ExampleSet result = new SimpleExampleSet(exampleTable, regularAttributes);
	Iterator<AttributeRole> special = exampleSet.getAttributes().specialAttributes();
	while (special.hasNext()) {
		AttributeRole role = special.next();
		result.getAttributes().setSpecialAttribute(role.getAttribute(), role.getSpecialName());
	}

	return result;
}
 

import com.rapidminer.example.set.SimpleExampleSet; //导入依赖的package包/类
public StatisticsSet(SimpleExampleSet examples) {
    super(examples);
}
 

import com.rapidminer.example.set.SimpleExampleSet; //导入依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	Tools.onlyNonMissingValues(exampleSet, getOperatorClassName(), this);

	// create new example table
	int numberOfNewExamples = FastFourierTransform.getGreatestPowerOf2LessThan(exampleSet.size()) / 2;
	ExampleTable exampleTable = new MemoryExampleTable(new LinkedList<Attribute>(), new DataRowFactory(
			DataRowFactory.TYPE_DOUBLE_ARRAY, '.'), numberOfNewExamples);

	// create frequency attribute (for frequency)
	Attribute frequencyAttribute = AttributeFactory.createAttribute("frequency", Ontology.REAL);
	exampleTable.addAttribute(frequencyAttribute);
	DataRowReader drr = exampleTable.getDataRowReader();
	int k = 0;
	while (drr.hasNext()) {
		DataRow dataRow = drr.next();
		dataRow.set(frequencyAttribute,
				FastFourierTransform.convertFrequency(k++, numberOfNewExamples, exampleSet.size()));
	}

	// create FFT values
	Attribute label = exampleSet.getAttributes().getLabel();

	// add FFT values
	FastFourierTransform fft = new FastFourierTransform(WindowFunction.BLACKMAN_HARRIS);
	SpectrumFilter filter = new SpectrumFilter(SpectrumFilter.NONE);
	for (Attribute current : exampleSet.getAttributes()) {
		if (current.isNumerical()) {
			Complex[] result = fft.getFourierTransform(exampleSet, label, current);
			Peak[] spectrum = filter.filter(result, exampleSet.size());
			// create new attribute and fill table with values
			Attribute newAttribute = AttributeFactory.createAttribute("fft(" + current.getName() + ")", Ontology.REAL);
			exampleTable.addAttribute(newAttribute);
			fillTable(exampleTable, newAttribute, spectrum);
		}
	}

	ExampleSet resultSet = new SimpleExampleSet(exampleTable);

	return resultSet;
}