edu.udo.cs.yale.operator.learner.meta
Class ClassificationByRegression

java.lang.Object
  edu.udo.cs.yale.operator.Operator
      edu.udo.cs.yale.operator.OperatorChain
          edu.udo.cs.yale.operator.learner.meta.AbstractMetaLearner
              edu.udo.cs.yale.operator.learner.meta.ClassificationByRegression

All Implemented Interfaces:

ConfigurationListener, Learner

public class ClassificationByRegression
extends AbstractMetaLearner

For a classified dataset (with possibly more than two classes) builds a classifier using a regression method which is specified by the inner operator. For each class i a regression model is trained after setting the label to +1 if the label equals i and to -1 if it is not. Then the regression models are combined into a classification model. In order to determine the prediction for an unlabeled example, all models are applied and the class belonging to the regression model which predicts the greatest value is chosen.

Version:

$Id: ClassificationByRegression.java,v 1.15 2006/03/21 15:35:48 ingomierswa Exp $

Author:

Ingo Mierswa, Simon Fischer

Field Summary

private int

numberOfClasses

Constructor Summary

ClassificationByRegression(OperatorDescription description)

Method Summary

int	getNumberOfSteps() Returns the number of steps performed by this chain.
Model	learn(ExampleSet inputSet) Trains a model.
boolean	supportsCapability(LearnerCapability lc) ClassificationByRegression supports all types of labels, so it would return true for all class check otherwise, it gives a call to the super.supportsCapability(...) method to check which attributes it supports.

Methods inherited from class edu.udo.cs.yale.operator.learner.meta.AbstractMetaLearner

apply, applyInnerLearner, checkLearnerCapabilities, getEstimatedPerformance, getInnerOperatorCondition, getInputClasses, getInputDescription, getMaxNumberOfInnerOperators, getMinNumberOfInnerOperators, getOutputClasses, getWeights, shouldCalculateWeights, shouldEstimatePerformance, shouldReturnInnerOutput

Methods inherited from class edu.udo.cs.yale.operator.OperatorChain

addAddListener, addOperator, addOperator, checkDeprecations, checkIO, checkNumberOfInnerOperators, checkProperties, clearErrorList, clearStepCounter, cloneOperator, countStep, createExperimentTree, delete, experimentFinished, experimentStarts, getAllInnerOperators, getCurrentStep, getIndexOfOperator, getInnerOperatorForName, getInnerOperatorsXML, getNumberOfAllOperators, getNumberOfChildrensSteps, getNumberOfOperators, getOperator, getOperatorFromAll, getOperators, isEnabled, performAdditionalChecks, removeAddListener, removeOperator, setEnabled, setExperiment

Methods inherited from class edu.udo.cs.yale.operator.Operator

addError, addValue, addWarning, apply, createExperimentTree, createFromXML, createMarkedExperimentTree, getAddOnlyAdditionalOutput, getApplyCount, getDeliveredOutputClasses, getDeprecationInfo, getDesiredInputClasses, getErrorList, getExperiment, getInput, getInput, getInput, getIOContainerForInApplyLoopBreakpoint, getName, getOperatorClassName, getOperatorDescription, getParameter, getParameterAsBoolean, getParameterAsColor, getParameterAsDouble, getParameterAsFile, getParameterAsInt, getParameterAsString, getParameterList, getParameters, getParameterType, getParameterTypes, getParent, getStartTime, getStatus, getUserDescription, getValue, getValues, getXML, hasBreakpoint, hasBreakpoint, hasInput, inApplyLoop, isParameterSet, logMessage, register, remove, rename, resume, setBreakpoint, setInput, setListParameter, setOperatorParameters, setParameter, setParameters, setParent, setUserDescription, toString, writeXML

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface edu.udo.cs.yale.operator.learner.Learner

getName

Field Detail

numberOfClasses

private int numberOfClasses

Constructor Detail

ClassificationByRegression

public ClassificationByRegression(OperatorDescription description)

Method Detail

supportsCapability

public boolean supportsCapability(LearnerCapability lc)

ClassificationByRegression supports all types of labels, so it would return true for all class check otherwise, it gives a call to the super.supportsCapability(...) method to check which attributes it supports.

Specified by:

supportsCapability in interface Learner

Overrides:

supportsCapability in class AbstractMetaLearner

learn

public Model learn(ExampleSet inputSet)
            throws OperatorException

Description copied from interface: Learner

Trains a model. This method should be called by apply() and is implemented by subclasses.

Throws:

OperatorException

getNumberOfSteps

public int getNumberOfSteps()

Description copied from class: OperatorChain

Returns the number of steps performed by this chain.

Overrides:

getNumberOfSteps in class AbstractMetaLearner