com.rapidminer.operator.learner.meta
Class AdaBoost

java.lang.Object
  com.rapidminer.operator.Operator
      com.rapidminer.operator.OperatorChain
          com.rapidminer.operator.learner.meta.AbstractMetaLearner
              com.rapidminer.operator.learner.meta.AdaBoost

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class AdaBoost
extends AbstractMetaLearner

This AdaBoost implementation can be used with all learners available in RapidMiner, not only the ones which originally are part of the Weka package.

Author:

Martin Scholz

Field Summary

protected int	currentIteration
static double	MIN_ADVANTAGE Discard models with an advantage of less than the specified value.
static java.lang.String	PARAMETER_ITERATIONS Name of the variable specifying the maximal number of iterations of the learner.

Constructor Summary

AdaBoost(OperatorDescription description)
Constructor.

Method Summary

java.util.List<ParameterType>	getParameterTypes() Adds the parameters "number of iterations" and "model file".
Model	learn(ExampleSet exampleSet) Constructs a Model repeatedly running a weak learner, reweighting the training example set accordingly, and combining the hypothesis using the available weighted performance values.
protected double	prepareWeights(ExampleSet exampleSet) Creates a weight attribute if not yet done.
boolean	supportsCapability(LearnerCapability lc) Overrides the method of the super class.

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

apply, applyInnerLearner, getEstimatedPerformance, getInnerOperatorCondition, getInputClasses, getInputDescription, getMaxNumberOfInnerOperators, getMinNumberOfInnerOperators, getOutputClasses, getWeights, shouldCalculateWeights, shouldEstimatePerformance

Methods inherited from class com.rapidminer.operator.OperatorChain

addAddListener, addOperator, addOperator, checkDeprecations, checkIO, checkNumberOfInnerOperators, checkProperties, clearErrorList, cloneOperator, createExperimentTree, createProcessTree, getAllInnerOperators, getIndexOfOperator, getInnerOperatorForName, getInnerOperatorsXML, getNumberOfAllOperators, getNumberOfOperators, getOperator, getOperatorFromAll, getOperators, performAdditionalChecks, processFinished, processStarts, registerOperator, removeAddListener, removeOperator, shouldAddNonConsumedInput, shouldReturnInnerOutput, unregisterOperator

Methods inherited from class com.rapidminer.operator.Operator

addError, addValue, addWarning, apply, checkForStop, createExperimentTree, createFromXML, createMarkedExperimentTree, createMarkedProcessTree, createProcessTree, getAddOnlyAdditionalOutput, getApplyCount, getDeliveredOutputClasses, getDeprecationInfo, getDesiredInputClasses, getEncoding, getErrorList, getExperiment, 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, register, remove, rename, resume, setApplyCount, setBreakpoint, setEnabled, setExpanded, setInput, setListParameter, setOperatorParameters, setParameter, setParameters, setParent, setUserDescription, toString, 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_ITERATIONS

public static final java.lang.String PARAMETER_ITERATIONS

Name of the variable specifying the maximal number of iterations of the learner.

See Also:

Constant Field Values

MIN_ADVANTAGE

public static final double MIN_ADVANTAGE

Discard models with an advantage of less than the specified value.

See Also:

Constant Field Values

currentIteration

protected int currentIteration

Constructor Detail

AdaBoost

public AdaBoost(OperatorDescription description)

Constructor.

Method Detail

supportsCapability

public boolean supportsCapability(LearnerCapability lc)

Overrides the method of the super class. Returns true for polynominal class.

Specified by:

supportsCapability in interface Learner

Overrides:

supportsCapability in class AbstractMetaLearner

learn

public Model learn(ExampleSet exampleSet)
            throws OperatorException

Constructs a Model repeatedly running a weak learner, reweighting the training example set accordingly, and combining the hypothesis using the available weighted performance values.

Throws:

OperatorException

prepareWeights

protected double prepareWeights(ExampleSet exampleSet)

Creates a weight attribute if not yet done. It either backs up the old weights for restoring them later, or it fills the newly created attribute with the initial value of 1.

Parameters:

exampleSet - the example set to be prepared

Returns:

the total weight

getParameterTypes

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

Adds the parameters "number of iterations" and "model file".

Specified by:

getParameterTypes in interface ParameterHandler

Overrides:

getParameterTypes in class Operator