com.rapidminer.operator.learner.meta
Class AbstractStacking

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

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

Direct Known Subclasses:

Stacking, Vote

public abstract class AbstractStacking
extends AbstractMetaLearner

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

AbstractStacking(OperatorDescription description)

Method Summary

abstract int	getFirstBaseModelLearnerIndex() Returns the first inner operator which should be learned for base model learning.
abstract int	getLastBaseModelLearnerIndex() Returns the last inner operator which should be learned for base model learning.
abstract java.lang.String	getModelName() Returns the model name.
abstract Operator	getStackingLearner() Returns the learner which should be used for stacking.
abstract boolean	keepOldAttributes() Indicates if the old attributes should be kept for learning the stacking model.
Model	learn(ExampleSet exampleSet) Trains a model.
boolean	supportsCapability(LearnerCapability capability) For all meta learners, it checks for the underlying operator to see which capabilities are supported by them.

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

AbstractStacking

public AbstractStacking(OperatorDescription description)

Method Detail

getModelName

public abstract java.lang.String getModelName()

Returns the model name.

getStackingLearner

public abstract Operator getStackingLearner()
                                     throws OperatorException

Returns the learner which should be used for stacking.

Throws:

OperatorException

getFirstBaseModelLearnerIndex

public abstract int getFirstBaseModelLearnerIndex()

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

getLastBaseModelLearnerIndex

public abstract int getLastBaseModelLearnerIndex()

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

keepOldAttributes

public abstract boolean keepOldAttributes()

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

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.

Throws:

OperatorException

supportsCapability

public boolean supportsCapability(LearnerCapability capability)

Description copied from class: AbstractMetaLearner

For all meta learners, it checks for the underlying operator to see which capabilities are supported by them.

Specified by:

supportsCapability in interface Learner

Overrides:

supportsCapability in class AbstractMetaLearner