edu.udo.cs.yale.operator.learner.kernel
Class JMySVMLearner

java.lang.Object
  edu.udo.cs.yale.operator.Operator
      edu.udo.cs.yale.operator.learner.AbstractLearner
          edu.udo.cs.yale.operator.learner.kernel.AbstractMySVMLearner
              edu.udo.cs.yale.operator.learner.kernel.JMySVMLearner

All Implemented Interfaces:

ConfigurationListener, Learner

public class JMySVMLearner
extends AbstractMySVMLearner

This learner uses the Java implementation of the support vector machine mySVM by Stefan Rüping. This learning method can be used for both regression and classification and provides a fast algorithm and good results for many learning tasks.

Version:

$Id: JMySVMLearner.java,v 1.18 2006/09/21 21:35:18 ingomierswa Exp $

Author:

Ingo Mierswa

Keywords:

SVM

Field Summary

private boolean

pattern Indicates if the SVM is used for classification learning.

Fields inherited from class edu.udo.cs.yale.operator.learner.kernel.AbstractMySVMLearner

KERNEL_DOT, KERNEL_EPANECHNIKOV, KERNEL_GAUSSIAN_COMBINATION, KERNEL_MULTIQUADRIC, KERNEL_NEURAL, KERNEL_POLYNOMIAL, KERNEL_RADIAL, KERNEL_TYPES

Constructor Summary

JMySVMLearner(OperatorDescription description)

Method Summary

SVMInterface	createSVM(Attribute label, Kernel kernel, ExampleSet exampleSet, ExampleSet yaleExamples) Creates a new SVM according to the given label.
AbstractMySVMModel	createSVMModel(Attribute label, ExampleSet exampleSet, Kernel kernel, int kernelType) Creates a new SVM model from the given data.
PerformanceVector	getEstimatedPerformance() Returns the estimated performances of this SVM.
java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.
boolean	shouldEstimatePerformance() Returns true if the user wants to estimate the performance (depending on a parameter).
boolean	supportsCapability(LearnerCapability lc) Checks for Learner capabilities.

Methods inherited from class edu.udo.cs.yale.operator.learner.kernel.AbstractMySVMLearner

createKernel, getKernel, getOptimizationPerformance, getSVM, getWeights, learn, shouldCalculateWeights, shouldDeliverOptimizationPerformance

Methods inherited from class edu.udo.cs.yale.operator.learner.AbstractLearner

apply, checkLearnerCapabilities, getInputClasses, getInputDescription, getOutputClasses

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

addError, addValue, addWarning, apply, checkDeprecations, checkIO, checkProperties, clearErrorList, cloneOperator, createExperimentTree, createExperimentTree, createFromXML, createMarkedExperimentTree, delete, experimentFinished, experimentStarts, getAddOnlyAdditionalOutput, getApplyCount, getDeliveredOutputClasses, getDeprecationInfo, getDesiredInputClasses, getErrorList, getExperiment, getInnerOperatorsXML, getInput, getInput, getInput, getIOContainerForInApplyLoopBreakpoint, getName, getNumberOfSteps, getOperatorClassName, getOperatorDescription, getParameter, getParameterAsBoolean, getParameterAsColor, getParameterAsDouble, getParameterAsFile, getParameterAsInt, getParameterAsString, getParameterList, getParameters, getParameterType, getParent, getStartTime, getStatus, getUserDescription, getValue, getValues, getXML, hasBreakpoint, hasBreakpoint, hasInput, inApplyLoop, isEnabled, isParameterSet, logMessage, performAdditionalChecks, register, remove, rename, resume, setBreakpoint, setEnabled, setExperiment, 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

pattern

private boolean pattern

Indicates if the SVM is used for classification learning.

Constructor Detail

JMySVMLearner

public JMySVMLearner(OperatorDescription description)

Method Detail

supportsCapability

public boolean supportsCapability(LearnerCapability lc)

Description copied from interface: Learner

Checks for Learner capabilities. Should return true if the given capability is supported.

shouldEstimatePerformance

public boolean shouldEstimatePerformance()

Description copied from class: AbstractLearner

Returns true if the user wants to estimate the performance (depending on a parameter). In this case the method getEstimatedPerformance() must also be overriden and deliver the estimated performance. The default implementation returns false.

Specified by:

shouldEstimatePerformance in interface Learner

Overrides:

shouldEstimatePerformance in class AbstractLearner

getEstimatedPerformance

public PerformanceVector getEstimatedPerformance()
                                          throws OperatorException

Returns the estimated performances of this SVM. Does only work for classification tasks.

Specified by:

getEstimatedPerformance in interface Learner

Overrides:

getEstimatedPerformance in class AbstractLearner

Throws:

OperatorException

createSVMModel

public AbstractMySVMModel createSVMModel(Attribute label,
                                         ExampleSet exampleSet,
                                         Kernel kernel,
                                         int kernelType)

Description copied from class: AbstractMySVMLearner

Creates a new SVM model from the given data.

Specified by:

createSVMModel in class AbstractMySVMLearner

createSVM

public SVMInterface createSVM(Attribute label,
                              Kernel kernel,
                              ExampleSet exampleSet,
                              ExampleSet yaleExamples)
                       throws OperatorException

Description copied from class: AbstractMySVMLearner

Creates a new SVM according to the given label.

Specified by:

createSVM in class AbstractMySVMLearner

Throws:

OperatorException

getParameterTypes

public java.util.List<ParameterType> getParameterTypes()

Description copied from class: Operator

Returns a list of ParameterTypes describing the parameters of this operator. The default implementation returns an empty list if no input objects can be retained and special parameters for those input objects which can be prevented from being consumed.

Overrides:

getParameterTypes in class AbstractMySVMLearner