com.rapidminer.operator.learner.tree
Class RandomTreeLearner

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

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class RandomTreeLearner
extends DecisionTreeLearner

This operator learns decision trees from both nominal and numerical data. Decision trees are powerful classification methods which often can also easily be understood. The random tree learner works similar to Quinlan's C4.5 or CART but it selects a random subset of attributes before it is applied. The size of the subset is defined by the parameter subset_ratio.

Author:

Ingo Mierswa

Field Summary

static java.lang.String	PARAMETER_LOCAL_RANDOM_SEED The parameter name for "Use the given random seed instead of global random numbers (-1: use global)"
static java.lang.String	PARAMETER_SUBSET_RATIO The parameter name for "Ratio of randomly chosen attributes to test"

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

PARAMETER_CONFIDENCE, PARAMETER_MAXIMAL_DEPTH, PARAMETER_NO_PRE_PRUNING, PARAMETER_NO_PRUNING, PARAMETER_NUMBER_OF_PREPRUNING_ALTERNATIVES

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

RandomTreeLearner(OperatorDescription description)

Method Summary

java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.
SplitPreprocessing	getSplitPreprocessing() Returns a random feature subset sampling.

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

getPruner, getTerminationCriteria, getTreeBuilder, supportsCapability

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

createCriterion, 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

Field Detail

PARAMETER_SUBSET_RATIO

public static final java.lang.String PARAMETER_SUBSET_RATIO

The parameter name for "Ratio of randomly chosen attributes to test"

See Also:

Constant Field Values

PARAMETER_LOCAL_RANDOM_SEED

public static final java.lang.String PARAMETER_LOCAL_RANDOM_SEED

The parameter name for "Use the given random seed instead of global random numbers (-1: use global)"

See Also:

Constant Field Values

Constructor Detail

RandomTreeLearner

public RandomTreeLearner(OperatorDescription description)

Method Detail

getSplitPreprocessing

public SplitPreprocessing getSplitPreprocessing()

Returns a random feature subset sampling.

Overrides:

getSplitPreprocessing in class AbstractTreeLearner

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 DecisionTreeLearner