com.rapidminer.operator.learner.bayes
Class RegularizedDiscriminantAnalysis

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

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class RegularizedDiscriminantAnalysis
extends LinearDiscriminantAnalysis

This is a regularized discriminant analysis (RDA) which is a generalization of the LDA or QDA. Both algorithms are special cases of this algorithm, using parameter alpha = 1 respectively alpha = 0.

Author:

Sebastian Land

Field Summary

static java.lang.String

PARAMETER_ALPHA

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

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

RegularizedDiscriminantAnalysis(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)
java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.

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, 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

Field Detail

PARAMETER_ALPHA

public static final java.lang.String PARAMETER_ALPHA

See Also:

Constant Field Values

Constructor Detail

RegularizedDiscriminantAnalysis

public RegularizedDiscriminantAnalysis(OperatorDescription description)

Method Detail

getInverseCovarianceMatrices

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

Overrides:

getInverseCovarianceMatrices in class LinearDiscriminantAnalysis

Throws:

UndefinedParameterError

getModel

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

Overrides:

getModel in class LinearDiscriminantAnalysis

Throws:

UndefinedParameterError

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.

Specified by:

getParameterTypes in interface ParameterHandler

Overrides:

getParameterTypes in class Operator