com.rapidminer.operator.learner.tree
Class MultiCriterionDecisionStumps

java.lang.Object
  com.rapidminer.operator.Operator
      com.rapidminer.operator.learner.AbstractLearner
          com.rapidminer.operator.learner.tree.MultiCriterionDecisionStumps

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class MultiCriterionDecisionStumps
extends AbstractLearner

A DecisionStump clone that allows to specify different utility functions. It is quick for nominal attributes, but does not yet apply pruning for continuos attributes. Currently it can only handle boolean class labels.

Author:

Martin Scholz

Nested Class Summary

static class

MultiCriterionDecisionStumps.DecisionStumpModel

Field Summary

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

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

MultiCriterionDecisionStumps(OperatorDescription description)

Method Summary

protected double[]	computePriors(ExampleSet exampleSet)
protected Model	getBestModel()
java.util.List<ParameterType>	getParameterTypes() Adds the parameter &utility function".
protected double	getScore(double[] counts, boolean predictPositives) Computes the score for the specified utility function, the provided counts and class.
protected void	initHighscore()
Model	learn(ExampleSet exampleSet) Trains a model.
boolean	supportsCapability(LearnerCapability lc) Checks for Learner capabilities.

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

Constructor Detail

MultiCriterionDecisionStumps

public MultiCriterionDecisionStumps(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.

initHighscore

protected void initHighscore()

getBestModel

protected Model getBestModel()

Returns:

the best decision stump found

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

getScore

protected double getScore(double[] counts,
                          boolean predictPositives)

Computes the score for the specified utility function, the provided counts and class.

computePriors

protected double[] computePriors(ExampleSet exampleSet)

Parameters:

exampleSet - the exampleSet to get the weighted priors for

Returns:

a double[2] object, first parameter is p, second is n.

getParameterTypes

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

Adds the parameter &utility function".

Specified by:

getParameterTypes in interface ParameterHandler

Overrides:

getParameterTypes in class Operator