edu.cmu.minorthird.classify.relational
Class StackedGraphicalLearner.StackingParams

java.lang.Object
  edu.cmu.minorthird.classify.relational.StackedGraphicalLearner.StackingParams

Enclosing class:

StackedGraphicalLearner

public static class StackedGraphicalLearner.StackingParams
extends java.lang.Object

Bundle of parameters for the StackedGraphicalLearner.

Field Summary

Splitter<Example>	splitter
int	stackingDepth
boolean	useConfidence
boolean	useLogistic
boolean	useTargetPrediction

Constructor Summary

StackedGraphicalLearner.StackingParams()

Method Summary

int	getCrossValSplits()
int	getStackingDepth() Number of iterations of stacking to use
boolean	getUseConfidences() If true, use confidence in class predictions as weight for that feature.
boolean	getUseLogisticOnConfidences() If true, adjust all class confidences by passing them thru a logistic function
boolean	getUseTargetPrediction() If true, adjust all class confidences by passing them thru a logistic function
void	setCrossValSplits(int newCrossValSplits)
void	setStackingDepth(int newStackingDepth)
void	setUseConfidences(boolean flag)
void	setUseLogisticOnConfidences(boolean flag)
void	setUseTargetPrediction(boolean flag)

Methods inherited from class java.lang.Object

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

Field Detail

stackingDepth

public int stackingDepth

useLogistic

public boolean useLogistic

useTargetPrediction

public boolean useTargetPrediction

useConfidence

public boolean useConfidence

splitter

public Splitter<Example> splitter

Constructor Detail

StackedGraphicalLearner.StackingParams

public StackedGraphicalLearner.StackingParams()

Method Detail

getUseLogisticOnConfidences

public boolean getUseLogisticOnConfidences()

If true, adjust all class confidences by passing them thru a logistic function

setUseLogisticOnConfidences

public void setUseLogisticOnConfidences(boolean flag)

getUseConfidences

public boolean getUseConfidences()

If true, use confidence in class predictions as weight for that feature.

setUseConfidences

public void setUseConfidences(boolean flag)

getUseTargetPrediction

public boolean getUseTargetPrediction()

If true, adjust all class confidences by passing them thru a logistic function

setUseTargetPrediction

public void setUseTargetPrediction(boolean flag)

getStackingDepth

public int getStackingDepth()

Number of iterations of stacking to use

setStackingDepth

public void setStackingDepth(int newStackingDepth)

getCrossValSplits

public int getCrossValSplits()

setCrossValSplits

public void setCrossValSplits(int newCrossValSplits)