com.rapidminer.operator.learner.tree
Class RandomForestLearner

java.lang.Object
  com.rapidminer.tools.AbstractObservable<Operator>
      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
                          com.rapidminer.operator.learner.tree.RandomForestLearner

All Implemented Interfaces:

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

public class RandomForestLearner
extends RandomTreeLearner

This operators learns a random forest. The resulting forest model contains several single random tree models.

Author:

Ingo Mierswa, Sebastian Land

Field Summary

static java.lang.String

PARAMETER_NUMBER_OF_TREES The parameter name for the number of trees.

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

PARAMETER_SUBSET_RATIO, PARAMETER_USE_HEURISTIC_SUBSET_RATION

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 interface com.rapidminer.operator.learner.CapabilityProvider

PROPERTY_RAPIDMINER_GENERAL_CAPABILITIES_WARN

Constructor Summary

RandomForestLearner(OperatorDescription description)

Method Summary

java.lang.Class<? extends PredictionModel>	getModelClass() This method might be overridden from subclasses in order to specify exactly which model class they use.
java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.
Model	learn(ExampleSet exampleSet) Trains a model.
boolean	supportsCapability(OperatorCapability capability) Checks for Learner capabilities.

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

getSplitPreprocessing

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

getPruner, getTerminationCriteria, getTreeBuilder

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

createCriterion

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

canCalculateWeights, canEstimatePerformance, doWork, doWork, getEstimatedPerformance, getExampleSetInputPort, getOptimizationPerformance, getWeightCalculationError, getWeights, getWeights, onlyWarnForNonSufficientCapabilities, shouldAutoConnect, shouldCalculateWeights, shouldDeliverOptimizationPerformance, shouldEstimatePerformance

Methods inherited from class com.rapidminer.operator.Operator

acceptsInput, addError, addError, addValue, addWarning, apply, apply, assumePreconditionsSatisfied, checkAll, checkAllExcludingMetaData, checkDeprecations, checkForStop, checkIO, checkProperties, clear, clearErrorList, cloneOperator, collectErrors, createExperimentTree, createExperimentTree, createFromXML, createFromXML, createFromXML, createMarkedExperimentTree, createMarkedProcessTree, createProcessTree, createProcessTree, disconnectPorts, execute, fireUpdate, freeMemory, 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, getParent, getPortOwner, getProcess, getResourceConsumptionEstimator, getRoot, getStartTime, getTransformer, getUserDescription, getValue, getValues, getXML, getXML, getXML, hasBreakpoint, hasBreakpoint, hasInput, inApplyLoop, isDebugMode, isDirty, isEnabled, isExpanded, isParallel, isParameterSet, isRunning, log, log, logError, logNote, logWarning, lookupOperator, makeDirty, makeDirtyOnUpdate, notifyRenaming, performAdditionalChecks, preAutoWire, processFinished, processStarts, producesOutput, propagateDirtyness, register, registerOperator, remove, removeAndKeepConnections, rename, resume, setBreakpoint, setCompatibilityLevel, setEnabled, setEnclosingProcess, setExpanded, setInput, setListParameter, setPairParameter, setParameter, setParameters, setUserDescription, shouldAutoConnect, shouldStopStandaloneExecution, toString, transformMetaData, unregisterOperator, updateExecutionOrder, walk, 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

Field Detail

PARAMETER_NUMBER_OF_TREES

public static final java.lang.String PARAMETER_NUMBER_OF_TREES

The parameter name for the number of trees.

See Also:

Constant Field Values

Constructor Detail

RandomForestLearner

public RandomForestLearner(OperatorDescription description)

Method Detail

getModelClass

public java.lang.Class<? extends PredictionModel> getModelClass()

Description copied from class: AbstractLearner

This method might be overridden from subclasses in order to specify exactly which model class they use. This is to ensure the proper postprocessing of some models like KernelModels (SupportVectorCounter) or TreeModels (Rule generation)

Overrides:

getModelClass in class AbstractTreeLearner

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.

Specified by:

learn in interface Learner

Overrides:

learn in class AbstractTreeLearner

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.

Specified by:

supportsCapability in interface CapabilityProvider

Overrides:

supportsCapability in class DecisionTreeLearner

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. ATTENTION! This will create new parameterTypes. For calling already existing parameter types use getParameters().getParameterTypes();

Specified by:

getParameterTypes in interface ParameterHandler

Overrides:

getParameterTypes in class RandomTreeLearner