com.rapidminer.operator.learner.meta
Class Binary2MultiClassLearner

java.lang.Object
  com.rapidminer.operator.Operator
      com.rapidminer.operator.OperatorChain
          com.rapidminer.operator.learner.meta.AbstractMetaLearner
              com.rapidminer.operator.learner.meta.Binary2MultiClassLearner

All Implemented Interfaces:

ConfigurationListener, PreviewListener, Learner, ParameterHandler, LoggingHandler

public class Binary2MultiClassLearner
extends AbstractMetaLearner

A metaclassifier for handling multi-class datasets with 2-class classifiers. This class supports several strategies for multiclass classification including procedures which are capable of using error-correcting output codes for increased accuracy.

Author:

Helge Homburg

Field Summary

static java.lang.String	PARAMETER_CLASSIFICATION_STRATEGIES The parameter name for "What strategy should be used for multi class classifications?
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_RANDOM_CODE_MULTIPLICATOR The parameter name for "A multiplier regulating the codeword length in random code modus.

Constructor Summary

Binary2MultiClassLearner(OperatorDescription description)

Method Summary

java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.
Model	learn(ExampleSet inputSet) 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, 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_CLASSIFICATION_STRATEGIES

public static final java.lang.String PARAMETER_CLASSIFICATION_STRATEGIES

The parameter name for "What strategy should be used for multi class classifications?"

See Also:

Constant Field Values

PARAMETER_RANDOM_CODE_MULTIPLICATOR

public static final java.lang.String PARAMETER_RANDOM_CODE_MULTIPLICATOR

The parameter name for "A multiplier regulating the codeword length in random code modus."

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

Binary2MultiClassLearner

public Binary2MultiClassLearner(OperatorDescription description)

Method Detail

learn

public Model learn(ExampleSet inputSet)
            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

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 Operator