edu.udo.cs.yale.operator.learner
Class NaiveBayes

java.lang.Object
  edu.udo.cs.yale.operator.Operator
      edu.udo.cs.yale.operator.learner.AbstractLearner
          edu.udo.cs.yale.operator.learner.NaiveBayes

All Implemented Interfaces:

ConfigurationListener, Learner

public class NaiveBayes
extends AbstractLearner

NaiveBayes is a lerner, using normal distributions to estimate real distribution of data

Version:

$Id$

Author:

Sebastian Land

Constructor Summary

NaiveBayes(OperatorDescription description)

Method Summary

private double	getDeviationOfList(java.util.ArrayList<Example> exampleCollection, int attributeIndex, double mean)
private int	getIndexOfString(java.util.Collection<java.lang.String> collection, java.lang.String value)
private double	getMeanOfList(java.util.ArrayList<Example> exampleCollection, int attributeIndex)
Model	learn(ExampleSet exampleSet) Trains a model.
boolean	supportsCapability(LearnerCapability lc) Checks for Learner capabilities.

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

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

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, getParameterTypes, 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

Constructor Detail

NaiveBayes

public NaiveBayes(OperatorDescription description)

Method Detail

learn

public Model learn(ExampleSet exampleSet)
            throws OperatorException

Description copied from interface: Learner

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

Throws:

OperatorException

getMeanOfList

private double getMeanOfList(java.util.ArrayList<Example> exampleCollection,
                             int attributeIndex)

getDeviationOfList

private double getDeviationOfList(java.util.ArrayList<Example> exampleCollection,
                                  int attributeIndex,
                                  double mean)

getIndexOfString

private int getIndexOfString(java.util.Collection<java.lang.String> collection,
                             java.lang.String value)

supportsCapability

public boolean supportsCapability(LearnerCapability lc)

Description copied from interface: Learner

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