import com.rapidminer.example.set.RemappedExampleSet; //导入依赖的package包/类
/**
 * Applies the model by creating a predicted label attribute and setting the predicted label
 * values.
 */
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	ExampleSet mappedExampleSet = new RemappedExampleSet(exampleSet, getTrainingHeader(), false);
	checkCompatibility(mappedExampleSet);
	Attribute predictedLabel = createPredictionAttributes(mappedExampleSet, getLabel());
	ExampleSet result = performPrediction(mappedExampleSet, predictedLabel);

	// Copy in order to avoid RemappedExampleSets wrapped around each other accumulating over
	// time
	copyPredictedLabel(result, exampleSet);

	return exampleSet;
}
 

import com.rapidminer.example.set.RemappedExampleSet; //导入依赖的package包/类
/**
 * This implementation remaps a given exampleSet to the header set and then calls a method of
 * the subclass to update its model.
 */
@Override
public final void updateModel(ExampleSet updateExampleSet) throws OperatorException {
	ExampleSet mappedExampleSet = new RemappedExampleSet(updateExampleSet, getTrainingHeader());
	checkCompatibility(mappedExampleSet);
	update(mappedExampleSet);
}
 

import com.rapidminer.example.set.RemappedExampleSet; //导入依赖的package包/类
/**
 * Applies the model by creating a predicted label attribute and setting the predicted label
 * values.
 */
@Override
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
	ExampleSet mappedExampleSet = RemappedExampleSet.create(exampleSet, getTrainingHeader(), false, true);
	checkCompatibility(mappedExampleSet);
	Attribute predictedLabel = createPredictionAttributes(mappedExampleSet, getLabel());
	ExampleSet result = performPrediction(mappedExampleSet, predictedLabel);

	// Copy in order to avoid RemappedExampleSets wrapped around each other accumulating over
	// time
	exampleSet = (ExampleSet) exampleSet.clone();
	copyPredictedLabel(result, exampleSet);

	return exampleSet;
}
 

import com.rapidminer.example.set.RemappedExampleSet; //导入依赖的package包/类
/**
 * This implementation remaps a given exampleSet to the header set and then calls a method of
 * the subclass to update its model.
 */
@Override
public final void updateModel(ExampleSet updateExampleSet) throws OperatorException {
	ExampleSet mappedExampleSet = RemappedExampleSet.create(updateExampleSet, getTrainingHeader(), true, true);
	checkCompatibility(mappedExampleSet);
	update(mappedExampleSet);
}
 

import com.rapidminer.example.set.RemappedExampleSet; //导入依赖的package包/类
/**
 * Applies the model by creating a predicted label attribute and setting the
 * predicted label values.
 */
public ExampleSet apply(ExampleSet exampleSet) throws OperatorException {
       ExampleSet mappedExampleSet = new RemappedExampleSet(exampleSet, getTrainingHeader(), false);
       checkCompatibility(mappedExampleSet);
	Attribute predictedLabel = createPredictionAttributes(mappedExampleSet, getLabel());
	ExampleSet result = performPrediction(mappedExampleSet, predictedLabel);
	
	// Copy in order to avoid RemappedExampleSets wrapped around each other accumulating over time
	copyPredictedLabel(result, exampleSet);
	
       return exampleSet;
}
 

import com.rapidminer.example.set.RemappedExampleSet; //导入依赖的package包/类
/**
 * This implementation remaps a given exampleSet to the header set and then calls a method of the subclass to update
 * its model.
 */
@Override
public final void updateModel(ExampleSet updateExampleSet) throws OperatorException {
	ExampleSet mappedExampleSet = new RemappedExampleSet(updateExampleSet, getTrainingHeader());
	checkCompatibility(mappedExampleSet);
	update(mappedExampleSet);
}