com.rapidminer.operator.learner.tree
Class ID3NumericalLearner

java.lang.Object
  com.rapidminer.operator.Operator
      com.rapidminer.operator.learner.AbstractLearner
          com.rapidminer.operator.learner.tree.AbstractTreeLearner
              com.rapidminer.operator.learner.tree.ID3NumericalLearner

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class ID3NumericalLearner
extends AbstractTreeLearner

This operator learns decision trees without pruning using both nominal and numerical attributes. Decision trees are powerful classification methods which often can also easily be understood. This decision tree learner works similar to Quinlan's ID3.

Author:

Ingo Mierswa

Field Summary

Fields inherited from class com.rapidminer.operator.learner.tree.AbstractTreeLearner

CRITERIA_CLASSES, CRITERIA_NAMES, CRITERION_ACCURACY, CRITERION_GAIN_RATIO, CRITERION_GINI_INDEX, CRITERION_INFO_GAIN, PARAMETER_CRITERION, PARAMETER_MINIMAL_GAIN, PARAMETER_MINIMAL_LEAF_SIZE, PARAMETER_MINIMAL_SIZE_FOR_SPLIT

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

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

ID3NumericalLearner(OperatorDescription description)

Method Summary

Pruner	getPruner() Returns the pruner for this tree learner.
java.util.List<Terminator>	getTerminationCriteria(ExampleSet exampleSet) Returns all termination criteria.
protected TreeBuilder	getTreeBuilder(ExampleSet exampleSet)
boolean	supportsCapability(LearnerCapability capability) Checks for Learner capabilities.

Methods inherited from class com.rapidminer.operator.learner.tree.AbstractTreeLearner

createCriterion, getParameterTypes, getSplitPreprocessing, learn

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

ID3NumericalLearner

public ID3NumericalLearner(OperatorDescription description)

Method Detail

getPruner

public Pruner getPruner()
                 throws OperatorException

Description copied from class: AbstractTreeLearner

Returns the pruner for this tree learner. If this method returns null, pruning will be disabled.

Specified by:

getPruner in class AbstractTreeLearner

Throws:

OperatorException

getTerminationCriteria

public java.util.List<Terminator> getTerminationCriteria(ExampleSet exampleSet)

Description copied from class: AbstractTreeLearner

Returns all termination criteria.

Specified by:

getTerminationCriteria in class AbstractTreeLearner

supportsCapability

public boolean supportsCapability(LearnerCapability capability)

Description copied from interface: Learner

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

getTreeBuilder

protected TreeBuilder getTreeBuilder(ExampleSet exampleSet)
                              throws OperatorException

Specified by:

getTreeBuilder in class AbstractTreeLearner

Throws:

OperatorException