com.rapidminer.operator.learner.tree
Class MultiwayDecisionTree

java.lang.Object
  com.rapidminer.tools.AbstractObservable<Operator>
      com.rapidminer.operator.Operator
          com.rapidminer.operator.OperatorChain
              com.rapidminer.operator.learner.meta.AbstractMetaLearner
                  com.rapidminer.operator.learner.tree.MultiwayDecisionTree

All Implemented Interfaces:

ConfigurationListener, PreviewListener, ResourceConsumer, CapabilityProvider, Learner, ParameterHandler, LoggingHandler, Observable<Operator>

public class MultiwayDecisionTree
extends AbstractMetaLearner

This operator is a meta learner for numerical tree builder. It might be used to flatten decision trees, which consists of many splits on the same attribute. All numerical attributes used for at least one decision in a tree will be discretized with the decisions' split points as borders. For example, if attribute att1 is splitted on the points 4.5 and 2.1 then it will be discretized in three values: -Infinity to 2.1, 2.1 to 4.5 and 4.5 to Infinity. After this, a new tree is grown on the transformed data. Since the used attributes are now numerical, all splits will be made immediately and hence the depth might be reduced. Please note: The resulting tree might be easier to comprehend, but this have to make it perform neither better nor worse! To get an impression of the reliability of the result perform a XValidation.

Author:

Sebastian Land

Field Summary

Fields inherited from class com.rapidminer.operator.learner.meta.AbstractMetaLearner

exampleSetInput, innerModelSink

Fields inherited from interface com.rapidminer.operator.learner.CapabilityProvider

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

MultiwayDecisionTree(OperatorDescription description)

Method Summary

Model	learn(ExampleSet exampleSet) Trains a model.
boolean	supportsCapability(OperatorCapability capability) Checks for Learner capabilities.

Methods inherited from class com.rapidminer.operator.learner.meta.AbstractMetaLearner

applyInnerLearner, doWork, executeInnerLearner, getEstimatedPerformance, getInnerModelSink, getModelOutputPort, getTrainingSetInputPort, getWeights, modifyExampleSetMetaData, modifyGeneratedModelMetaData, shouldAutoConnect, shouldCalculateWeights, shouldEstimatePerformance

Methods inherited from class com.rapidminer.operator.OperatorChain

addOperator, addOperator, addSubprocess, areSubprocessesExtendable, assumePreconditionsSatisfied, checkDeprecations, checkIO, checkNumberOfInnerOperators, checkProperties, clear, clearAllInnerSinks, cloneOperator, collectErrors, createProcessTree, createSubprocess, freeMemory, getAllInnerOperators, getAllInnerOperatorsAndMe, getImmediateChildren, getIndexOfOperator, getInnerOperatorCondition, getMaxNumberOfInnerOperators, getMinNumberOfInnerOperators, getNumberOfAllOperators, getNumberOfOperators, getNumberOfSubprocesses, getOperator, getOperatorFromAll, getOperators, getSubprocess, getSubprocesses, isEnabled, lookupOperator, notifyRenaming, performAdditionalChecks, processFinished, processStarts, propagateDirtyness, registerOperator, removeOperator, removeSubprocess, shouldAddNonConsumedInput, shouldReturnInnerOutput, unregisterOperator, updateExecutionOrder, walk

Methods inherited from class com.rapidminer.operator.Operator

acceptsInput, addError, addError, addValue, addWarning, apply, apply, checkAll, checkAllExcludingMetaData, checkForStop, clearErrorList, createExperimentTree, createExperimentTree, createFromXML, createFromXML, createFromXML, createMarkedExperimentTree, createMarkedProcessTree, createProcessTree, disconnectPorts, execute, fireUpdate, getAddOnlyAdditionalOutput, getApplyCount, getCompatibilityLevel, getDeliveredOutputClasses, getDeprecationInfo, getDesiredInputClasses, getDOMRepresentation, getEncoding, getErrorList, getExecutionUnit, getExperiment, getIncompatibleVersionChanges, getInput, getInput, getInput, getInputClasses, getInputDescription, getInputPorts, getIODescription, getLog, getLogger, getName, getNumberOfBreakpoints, getOperatorClassName, getOperatorDescription, getOutputClasses, getOutputPorts, getParameter, getParameterAsBoolean, getParameterAsChar, getParameterAsColor, getParameterAsDouble, getParameterAsFile, getParameterAsFile, getParameterAsInputStream, getParameterAsInt, getParameterAsMatrix, getParameterAsRepositoryLocation, getParameterAsString, getParameterHandler, getParameterList, getParameters, getParameterTupel, getParameterType, getParameterTypes, getParent, getPortOwner, getProcess, getResourceConsumptionEstimator, getRoot, getStartTime, getTransformer, getUserDescription, getValue, getValues, getXML, getXML, getXML, hasBreakpoint, hasBreakpoint, hasInput, inApplyLoop, isDebugMode, isDirty, isExpanded, isParallel, isParameterSet, isRunning, log, log, logError, logNote, logWarning, makeDirty, makeDirtyOnUpdate, preAutoWire, producesOutput, register, remove, removeAndKeepConnections, rename, resume, setBreakpoint, setCompatibilityLevel, setEnabled, setEnclosingProcess, setExpanded, setInput, setListParameter, setPairParameter, setParameter, setParameters, setUserDescription, shouldAutoConnect, shouldStopStandaloneExecution, toString, transformMetaData, writeXML, writeXML

Methods inherited from class com.rapidminer.tools.AbstractObservable

addObserver, addObserverAsFirst, fireUpdate, removeObserver

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

MultiwayDecisionTree

public MultiwayDecisionTree(OperatorDescription description)

Parameters:

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

supportsCapability

public boolean supportsCapability(OperatorCapability capability)

Description copied from interface: CapabilityProvider

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