Package si.ijs.kt.clus.ext.ensemble

Class ClusOOBWeights

java.lang.Object

si.ijs.kt.clus.ext.ensemble.ClusOOBWeights

Direct Known Subclasses:

ClusROSOOBWeights

public class ClusOOBWeights
extends Object

Class that holds OOB weights. Used for ensemble voting.

Author:

martinb

Field Summary

Fields

Modifier and Type	Field	Description
protected HashMap<Integer,Double>	m_AggregatedError
protected HashMap<Integer,Double>	m_AggregatedWeight
protected double	m_Alpha
protected HashMap<Integer,double[]>	m_ComponentErrors
protected HashMap<Integer,double[]>	m_ComponentWeights
protected SettingsEnsemble.EnsembleVotingType	m_EnsembleVotingType
protected final double	SMALL_BUT_MORE_THAN_ZERO

Constructor Summary

Constructors

Constructor	Description
ClusOOBWeights(SettingsEnsemble.EnsembleVotingType et)

Method Summary

Modifier and Type	Method	Description
protected void	calculateAggregateWeights()
protected void	calculateComponentWeights()
void	calculateWeights()	Normalize errors to get weights Loss functions (less is better): => RMSE for regression => 1-CA for classification Weights are proportionate to the loss function: 1/error
double	getComponentWeight(int baseModelNumber, int component)
double	getModelWeight(int baseModelNumber)
ClusOOBWeights	getNew(int numberOfModels)
void	setErrors(int baseModelNumber, double aggregatedError, double[] componentErrors)
void	setErrors(int baseModelNumber, ClusError error)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

SMALL_BUT_MORE_THAN_ZERO

protected final double SMALL_BUT_MORE_THAN_ZERO

See Also:

• Constant Field Values

m_AggregatedError

protected HashMap<Integer,Double> m_AggregatedError

m_ComponentErrors

protected HashMap<Integer,double[]> m_ComponentErrors

m_AggregatedWeight

protected HashMap<Integer,Double> m_AggregatedWeight

m_ComponentWeights

protected HashMap<Integer,double[]> m_ComponentWeights

m_EnsembleVotingType

protected SettingsEnsemble.EnsembleVotingType m_EnsembleVotingType

m_Alpha

protected double m_Alpha

Constructor Details

ClusOOBWeights

public ClusOOBWeights(SettingsEnsemble.EnsembleVotingType et)

Method Details

getNew

public ClusOOBWeights getNew(int numberOfModels)

setErrors

public void setErrors(int baseModelNumber,
 double aggregatedError,
 double[] componentErrors)

setErrors

public void setErrors(int baseModelNumber,
 ClusError error)

calculateWeights

public void calculateWeights()

Normalize errors to get weights Loss functions (less is better): => RMSE for regression => 1-CA for classification Weights are proportionate to the loss function: 1/error

calculateAggregateWeights

protected void calculateAggregateWeights()

calculateComponentWeights

protected void calculateComponentWeights()

getModelWeight

public double getModelWeight(int baseModelNumber)

getComponentWeight

public double getComponentWeight(int baseModelNumber,
 int component)