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Java MappedExampleSet.createBootstrappingMapping方法代码示例

本文整理汇总了Java中com.rapidminer.example.set.MappedExampleSet.createBootstrappingMapping方法的典型用法代码示例。如果您正苦于以下问题：Java MappedExampleSet.createBootstrappingMapping方法的具体用法？Java MappedExampleSet.createBootstrappingMapping怎么用？Java MappedExampleSet.createBootstrappingMapping使用的例子？那么恭喜您, 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.set.MappedExampleSet的用法示例。


在下文中一共展示了MappedExampleSet.createBootstrappingMapping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: estimatePerformance

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
@Override
public void estimatePerformance(ExampleSet inputSet) throws OperatorException {
	number = getParameterAsInt(PARAMETER_NUMBER_OF_VALIDATIONS);
	int size = (int) Math.round(inputSet.size() * getParameterAsDouble(PARAMETER_SAMPLE_RATIO));

	// start bootstrapping loop
	RandomGenerator random = RandomGenerator.getRandomGenerator(this);
	for (iteration = 0; iteration < number; iteration++) {
		
		int[] mapping = null;
		if (getParameterAsBoolean(PARAMETER_USE_WEIGHTS) && inputSet.getAttributes().getWeight() != null) {
			mapping = MappedExampleSet.createWeightedBootstrappingMapping(inputSet, size, random);
		} else {
	        mapping = MappedExampleSet.createBootstrappingMapping(inputSet, size, random);
		}
		MappedExampleSet trainingSet = new MappedExampleSet((ExampleSet)inputSet.clone(), mapping, true);
		learn(trainingSet);

		MappedExampleSet inverseExampleSet = new MappedExampleSet((ExampleSet)inputSet.clone(), mapping, false);            
		evaluate(inverseExampleSet);            
		inApplyLoop();
	}
	// end loop
}
开发者ID:rapidminer，项目名称:rapidminer-5，代码行数:25，代码来源:BootstrappingValidation.java

示例2: apply

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {         
	RandomGenerator random = RandomGenerator.getRandomGenerator(this);
	int size = exampleSet.size();
	switch (getParameterAsInt(PARAMETER_SAMPLE)) {
	case SAMPLE_ABSOLUTE:
		size = getParameterAsInt(PARAMETER_SAMPLE_SIZE);
		break;
	case SAMPLE_RELATIVE:
		size = (int) Math.round(exampleSet.size() * getParameterAsDouble(PARAMETER_SAMPLE_RATIO));
		break;
	}

	int[] mapping = null;
	if (getParameterAsBoolean(PARAMETER_USE_WEIGHTS) && exampleSet.getAttributes().getWeight() != null) {
		mapping = MappedExampleSet.createWeightedBootstrappingMapping(exampleSet, size, random);
	} else {
		mapping = MappedExampleSet.createBootstrappingMapping(exampleSet, size, random);
	}
	return new MappedExampleSet(exampleSet, mapping, true);
}
开发者ID:rapidminer，项目名称:rapidminer-5，代码行数:22，代码来源:BootstrappingOperator.java

示例3: estimatePerformance

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
@Override
public void estimatePerformance(ExampleSet inputSet) throws OperatorException {
	number = getParameterAsInt(PARAMETER_NUMBER_OF_VALIDATIONS);
	int size = (int) Math.round(inputSet.size() * getParameterAsDouble(PARAMETER_SAMPLE_RATIO));

	// start bootstrapping loop
	RandomGenerator random = RandomGenerator.getRandomGenerator(this);
	getProgress().setTotal(number);
	getProgress().setCheckForStop(false);

	for (iteration = 0; iteration < number; iteration++) {
		int[] mapping = null;
		if (getParameterAsBoolean(PARAMETER_USE_WEIGHTS) && inputSet.getAttributes().getWeight() != null) {
			mapping = MappedExampleSet.createWeightedBootstrappingMapping(inputSet, size, random);
		} else {
			mapping = MappedExampleSet.createBootstrappingMapping(inputSet, size, random);
		}
		MappedExampleSet trainingSet = new MappedExampleSet((ExampleSet) inputSet.clone(), mapping, true);
		learn(trainingSet);

		MappedExampleSet inverseExampleSet = new MappedExampleSet((ExampleSet) inputSet.clone(), mapping, false);
		evaluate(inverseExampleSet);
		inApplyLoop();
		getProgress().step();
	}
	// end loop
	getProgress().complete();
}
开发者ID:transwarpio，项目名称:rapidminer，代码行数:29，代码来源:BootstrappingValidation.java

示例4: learn

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
@Override
public Model learn(ExampleSet inputSet) throws OperatorException {
	int iterations = getParameterAsInt(PARAMETER_ITERATIONS);
	double subsetRatio = getParameterAsDouble(PARAMETER_USE_SUBSET_FOR_TRAINING);
	Model[] models = new Model[iterations];

	// get cost matrix
	double[][] costMatrix = getParameterAsMatrix(PARAMETER_COST_MATRIX);

	// perform bagging operation
	if (getParameterAsBoolean(PARAMETER_SAMPLING_WITH_REPLACEMENT)) {
		// sampling with replacement
		Random randomGenerator = RandomGenerator.getRandomGenerator(this);
		int size = (int) (inputSet.size() * subsetRatio);
		for (int i = 0; i < iterations; i++) {
			ExampleSet exampleSet = (ExampleSet) inputSet.clone();
			int[] mapping = MappedExampleSet.createBootstrappingMapping(exampleSet, size, randomGenerator);
			MappedExampleSet currentSampleSet = new MappedExampleSet(exampleSet, mapping);
			models[i] = applyInnerLearner(currentSampleSet);
			inApplyLoop();
		}
	} else {
		// sampling without replacement
		for (int i = 0; i < iterations; i++) {
			SplittedExampleSet splitted = new SplittedExampleSet((ExampleSet) inputSet.clone(), subsetRatio,
					SplittedExampleSet.SHUFFLED_SAMPLING,
					getParameterAsBoolean(RandomGenerator.PARAMETER_USE_LOCAL_RANDOM_SEED),
					getParameterAsInt(RandomGenerator.PARAMETER_LOCAL_RANDOM_SEED));
			splitted.selectSingleSubset(0);
			models[i] = applyInnerLearner(splitted);
			inApplyLoop();
		}
	}

	return new MetaCostModel(inputSet, models, costMatrix);
}
开发者ID:transwarpio，项目名称:rapidminer，代码行数:37，代码来源:MetaCost.java

示例5: apply

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	int size = exampleSet.size();

	// cannot bootstrap without any examples
	if (size < 1) {
		throw new UserError(this, 117);
	}

	RandomGenerator random = RandomGenerator.getRandomGenerator(this);
	switch (getParameterAsInt(PARAMETER_SAMPLE)) {
		case SAMPLE_ABSOLUTE:
			size = getParameterAsInt(PARAMETER_SAMPLE_SIZE);
			break;
		case SAMPLE_RELATIVE:
			size = (int) Math.round(exampleSet.size() * getParameterAsDouble(PARAMETER_SAMPLE_RATIO));
			break;
	}

	int[] mapping = null;
	if (getParameterAsBoolean(PARAMETER_USE_WEIGHTS) && exampleSet.getAttributes().getWeight() != null) {
		mapping = MappedExampleSet.createWeightedBootstrappingMapping(exampleSet, size, random);
	} else {
		mapping = MappedExampleSet.createBootstrappingMapping(exampleSet, size, random);
	}

	// create and materialize example set
	ExampleSet mappedExampleSet = new MappedExampleSet(exampleSet, mapping, true);
	if (getCompatibilityLevel().isAbove(VERSION_6_4_0)) {
		int type = DataRowFactory.TYPE_DOUBLE_ARRAY;
		if (exampleSet.size() > 0) {
			type = exampleSet.getExampleTable().getDataRow(0).getType();
		}
		mappedExampleSet = MaterializeDataInMemory.materializeExampleSet(mappedExampleSet, type);
	}
	return mappedExampleSet;
}
开发者ID:transwarpio，项目名称:rapidminer，代码行数:38，代码来源:BootstrappingOperator.java

示例6: estimatePerformance

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
@Override
public void estimatePerformance(ExampleSet inputSet) throws OperatorException {
	boolean useWeights = getParameterAsBoolean(PARAMETER_USE_WEIGHTS);
	number = getParameterAsInt(PARAMETER_NUMBER_OF_VALIDATIONS);
	int size = (int) Math.round(inputSet.size() * getParameterAsDouble(PARAMETER_SAMPLE_RATIO));

	// start bootstrapping loop
	RandomGenerator random = RandomGenerator.getRandomGenerator(this);
	if (modelOutput.isConnected()) {
		getProgress().setTotal(number + 1);
	} else {
		getProgress().setTotal(number);
	}
	getProgress().setCheckForStop(false);

	for (iteration = 0; iteration < number; iteration++) {
		int[] mapping = null;
		if (useWeights && inputSet.getAttributes().getWeight() != null) {
			mapping = MappedExampleSet.createWeightedBootstrappingMapping(inputSet, size, random);
		} else {
			mapping = MappedExampleSet.createBootstrappingMapping(inputSet, size, random);
		}
		MappedExampleSet trainingSet = new MappedExampleSet(inputSet, mapping, true);
		learn(trainingSet);

		MappedExampleSet inverseExampleSet = new MappedExampleSet(inputSet, mapping, false);
		evaluate(inverseExampleSet);
		inApplyLoop();
		getProgress().step();
	}
}
开发者ID:rapidminer，项目名称:rapidminer-studio，代码行数:32，代码来源:BootstrappingValidation.java

示例7: learn

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
@Override
public Model learn(ExampleSet inputSet) throws OperatorException {
	int iterations = getParameterAsInt(PARAMETER_ITERATIONS);
	double subsetRatio = getParameterAsDouble(PARAMETER_USE_SUBSET_FOR_TRAINING);
	Model[] models = new Model[iterations];

	// get cost matrix
	double[][] costMatrix = getParameterAsMatrix(PARAMETER_COST_MATRIX);

	// perform bagging operation
	if (getParameterAsBoolean(PARAMETER_SAMPLING_WITH_REPLACEMENT)) {
		// sampling with replacement
		Random randomGenerator = RandomGenerator.getRandomGenerator(this);
		int size = (int) (inputSet.size() * subsetRatio);
		for (int i = 0; i < iterations; i++) {
			int[] mapping = MappedExampleSet.createBootstrappingMapping(inputSet, size, randomGenerator);
			MappedExampleSet currentSampleSet = new MappedExampleSet(inputSet, mapping);
			models[i] = applyInnerLearner(currentSampleSet);
			inApplyLoop();
		}
	} else {
		// sampling without replacement
		boolean useLocalRandomSeed = getParameterAsBoolean(RandomGenerator.PARAMETER_USE_LOCAL_RANDOM_SEED);
		int localRandomSeed = getParameterAsInt(RandomGenerator.PARAMETER_LOCAL_RANDOM_SEED);
		for (int i = 0; i < iterations; i++) {
			SplittedExampleSet splitted = new SplittedExampleSet(inputSet, subsetRatio,
					SplittedExampleSet.SHUFFLED_SAMPLING, useLocalRandomSeed, localRandomSeed);
			splitted.selectSingleSubset(0);
			models[i] = applyInnerLearner(splitted);
			inApplyLoop();
		}
	}

	return new MetaCostModel(inputSet, models, costMatrix);
}
开发者ID:rapidminer，项目名称:rapidminer-studio，代码行数:36，代码来源:MetaCost.java

示例8: apply

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	// cannot bootstrap without any examples
	Tools.isNonEmpty(exampleSet);
	int size = exampleSet.size();

	RandomGenerator random = RandomGenerator.getRandomGenerator(this);
	switch (getParameterAsInt(PARAMETER_SAMPLE)) {
		case SAMPLE_ABSOLUTE:
			size = getParameterAsInt(PARAMETER_SAMPLE_SIZE);
			break;
		case SAMPLE_RELATIVE:
			size = (int) Math.round(exampleSet.size() * getParameterAsDouble(PARAMETER_SAMPLE_RATIO));
			break;
	}

	int[] mapping = null;
	if (getParameterAsBoolean(PARAMETER_USE_WEIGHTS) && exampleSet.getAttributes().getWeight() != null) {
		mapping = MappedExampleSet.createWeightedBootstrappingMapping(exampleSet, size, random);
	} else {
		mapping = MappedExampleSet.createBootstrappingMapping(exampleSet, size, random);
	}

	// create and materialize example set
	ExampleSet mappedExampleSet = new MappedExampleSet(exampleSet, mapping, true);
	if (getCompatibilityLevel().isAbove(VERSION_6_4_0)) {
		int type = DataRowFactory.TYPE_DOUBLE_ARRAY;
		if (exampleSet.size() > 0) {
			type = exampleSet.getExampleTable().getDataRow(0).getType();
		}
		mappedExampleSet = MaterializeDataInMemory.materializeExampleSet(mappedExampleSet, type);
	}
	return mappedExampleSet;
}
开发者ID:rapidminer，项目名称:rapidminer-studio，代码行数:35，代码来源:BootstrappingOperator.java

示例9: learn

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
public Model learn(ExampleSet inputSet) throws OperatorException {
	int iterations = getParameterAsInt(PARAMETER_ITERATIONS);
	double subsetRatio = getParameterAsDouble(PARAMETER_USE_SUBSET_FOR_TRAINING);
	Model[] models = new Model[iterations]; 

	//get cost matrix
	double[][] costMatrix = getParameterAsMatrix(PARAMETER_COST_MATRIX);		

	//perform bagging operation			
	if (getParameterAsBoolean(PARAMETER_SAMPLING_WITH_REPLACEMENT)) {	
		//sampling with replacement
		Random randomGenerator = RandomGenerator.getRandomGenerator(this);	
		int size = (int)(inputSet.size()*subsetRatio);		
		for (int i = 0; i < iterations; i++) {		
			ExampleSet exampleSet = (ExampleSet)inputSet.clone();
			int[] mapping = MappedExampleSet.createBootstrappingMapping(exampleSet, size, randomGenerator);
			MappedExampleSet currentSampleSet = new MappedExampleSet(exampleSet, mapping);
			models[i] = applyInnerLearner(currentSampleSet);				
			inApplyLoop();
		}
	} else {
		//sampling without replacement
		for (int i = 0; i < iterations; i++) {			
			SplittedExampleSet splitted = new SplittedExampleSet((ExampleSet)inputSet.clone(), subsetRatio, SplittedExampleSet.SHUFFLED_SAMPLING, getParameterAsBoolean(RandomGenerator.PARAMETER_USE_LOCAL_RANDOM_SEED), getParameterAsInt(RandomGenerator.PARAMETER_LOCAL_RANDOM_SEED));
			splitted.selectSingleSubset(0);
			models[i] = applyInnerLearner(splitted);
			inApplyLoop();
		}
	}

	return new MetaCostModel(inputSet, models, costMatrix);
}
开发者ID:rapidminer，项目名称:rapidminer-5，代码行数:33，代码来源:MetaCost.java

示例10: createMapping

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
@Override
public int[] createMapping(ExampleSet exampleSet, int size, Random random) throws OperatorException {
	return MappedExampleSet.createBootstrappingMapping(exampleSet, size, random);
}
开发者ID:transwarpio，项目名称:rapidminer，代码行数:5，代码来源:Bootstrapping.java

示例11: createMapping

import com.rapidminer.example.set.MappedExampleSet; //导入方法依赖的package包/类
@Override
public int[] createMapping(ExampleSet exampleSet, int size, Random random) throws OperatorException {
       return MappedExampleSet.createBootstrappingMapping(exampleSet, size, random);
   }
开发者ID:rapidminer，项目名称:rapidminer-5，代码行数:5，代码来源:Bootstrapping.java


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