com.rapidminer.operator.learner.bayes
Class QuadraticDiscriminantAnalysis

java.lang.Object
  com.rapidminer.operator.Operator
      com.rapidminer.operator.learner.AbstractLearner
          com.rapidminer.operator.learner.bayes.LinearDiscriminantAnalysis
              com.rapidminer.operator.learner.bayes.QuadraticDiscriminantAnalysis

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class QuadraticDiscriminantAnalysis
extends LinearDiscriminantAnalysis

This operator performs a quadratic discriminant analysis (QDA). QDA is closely related to linear discriminant analysis (LDA), where it is assumed that the measurements are normally distributed. Unlike LDA however, in QDA there is no assumption that the covariance of each of the classes is identical.

Author:

Sebastian Land

Field Summary

Fields inherited from class com.rapidminer.operator.learner.AbstractLearner

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

QuadraticDiscriminantAnalysis(OperatorDescription description)

Method Summary

protected Jama.Matrix[]	getInverseCovarianceMatrices(ExampleSet exampleSet, java.lang.String[] labels)
protected DiscriminantModel	getModel(ExampleSet exampleSet, java.lang.String[] labels, Jama.Matrix[] meanVectors, Jama.Matrix[] inverseCovariances, double[] aprioriProbabilities)

Methods inherited from class com.rapidminer.operator.learner.bayes.LinearDiscriminantAnalysis

getMeanVectors, learn, supportsCapability

Methods inherited from class com.rapidminer.operator.learner.AbstractLearner

apply, getEstimatedPerformance, getInputClasses, getInputDescription, getOptimizationPerformance, getOutputClasses, getWeights, onlyWarnForNonSufficientCapabilities, shouldCalculateWeights, shouldDeliverOptimizationPerformance, shouldEstimatePerformance

Methods inherited from class com.rapidminer.operator.Operator

addError, addValue, addWarning, apply, checkDeprecations, checkForStop, checkIO, checkProperties, clearErrorList, cloneOperator, createExperimentTree, createExperimentTree, createFromXML, createMarkedExperimentTree, createMarkedProcessTree, createProcessTree, createProcessTree, getAddOnlyAdditionalOutput, getApplyCount, getDeliveredOutputClasses, getDeprecationInfo, getDesiredInputClasses, getEncoding, getErrorList, getExperiment, getInnerOperatorsXML, getInput, getInput, getInput, getIOContainerForInApplyLoopBreakpoint, getIODescription, getLog, getName, getOperatorClassName, getOperatorDescription, getParameter, getParameterAsBoolean, getParameterAsColor, getParameterAsDouble, getParameterAsFile, getParameterAsFile, getParameterAsInputStream, getParameterAsInt, getParameterAsMatrix, getParameterAsString, getParameterList, getParameters, getParameterType, getParameterTypes, getParent, getProcess, getStartTime, getStatus, getUserDescription, getValue, getValues, getXML, hasBreakpoint, hasBreakpoint, hasInput, inApplyLoop, isDebugMode, isEnabled, isExpanded, isParallel, isParameterSet, log, logError, logNote, logWarning, performAdditionalChecks, processFinished, processStarts, register, registerOperator, remove, rename, resume, setApplyCount, setBreakpoint, setEnabled, setExpanded, setInput, setListParameter, setOperatorParameters, setParameter, setParameters, setParent, setUserDescription, toString, unregisterOperator, writeXML

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.rapidminer.operator.learner.Learner

getName

Constructor Detail

QuadraticDiscriminantAnalysis

public QuadraticDiscriminantAnalysis(OperatorDescription description)

Method Detail

getModel

protected DiscriminantModel getModel(ExampleSet exampleSet,
                                     java.lang.String[] labels,
                                     Jama.Matrix[] meanVectors,
                                     Jama.Matrix[] inverseCovariances,
                                     double[] aprioriProbabilities)

Overrides:

getModel in class LinearDiscriminantAnalysis

getInverseCovarianceMatrices

protected Jama.Matrix[] getInverseCovarianceMatrices(ExampleSet exampleSet,
                                                     java.lang.String[] labels)
                                              throws UndefinedParameterError

Overrides:

getInverseCovarianceMatrices in class LinearDiscriminantAnalysis

Throws:

UndefinedParameterError