com.rapidminer.operator.learner.meta
Class Vote

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

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class Vote
extends AbstractStacking

This class uses n+1 inner learners and generates n different models by using the last n learners. The predictions of these n models are taken to create n new features for the example set, which is finally used to serve as an input of the first inner learner.

Author:

Ingo Mierswa, Helge Homburg

Constructor Summary

Vote(OperatorDescription description)

Method Summary

int	getFirstBaseModelLearnerIndex() Returns the first inner operator which should be learned for base model learning.
int	getLastBaseModelLearnerIndex() Returns the last inner operator which should be learned for base model learning.
java.lang.String	getModelName() Returns the model name.
Operator	getStackingLearner() Returns the learner which should be used for stacking.
boolean	keepOldAttributes() Indicates if the old attributes should be kept for learning the stacking model.

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

learn, supportsCapability

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, getParameterTypes, 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

Constructor Detail

Vote

public Vote(OperatorDescription description)

Method Detail

getModelName

public java.lang.String getModelName()

Description copied from class: AbstractStacking

Returns the model name.

Specified by:

getModelName in class AbstractStacking

getFirstBaseModelLearnerIndex

public int getFirstBaseModelLearnerIndex()

Description copied from class: AbstractStacking

Returns the first inner operator which should be learned for base model learning.

Specified by:

getFirstBaseModelLearnerIndex in class AbstractStacking

getLastBaseModelLearnerIndex

public int getLastBaseModelLearnerIndex()

Description copied from class: AbstractStacking

Returns the last inner operator which should be learned for base model learning.

Specified by:

getLastBaseModelLearnerIndex in class AbstractStacking

getStackingLearner

public Operator getStackingLearner()
                            throws OperatorException

Description copied from class: AbstractStacking

Returns the learner which should be used for stacking.

Specified by:

getStackingLearner in class AbstractStacking

Throws:

OperatorException

keepOldAttributes

public boolean keepOldAttributes()

Description copied from class: AbstractStacking

Indicates if the old attributes should be kept for learning the stacking model.

Specified by:

keepOldAttributes in class AbstractStacking