edu.cmu.minorthird.classify.sequential
Class StackedSequenceLearner.StackingParams

java.lang.Object
  edu.cmu.minorthird.classify.sequential.StackedSequenceLearner.StackingParams

Enclosing class:

StackedSequenceLearner

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

Bundle of parameters for the StackedSequenceLearner.

Field Summary

int	futureSize
int	historySize
Splitter<Example[]>	splitter
int	stackingDepth
boolean	useConfidence
boolean	useLogistic
boolean	useTargetPrediction

Constructor Summary

StackedSequenceLearner.StackingParams()

Method Summary

int	getCrossValSplits()
int	getFutureSize() Number of instances after the current target for which the predicted class will be used as a feature.
int	getHistorySize() Number of instances before the current target for which the predicted class will be used as a feature.
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	setFutureSize(int newFutureSize)
void	setHistorySize(int newHistorySize)
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

historySize

public int historySize

futureSize

public int futureSize

stackingDepth

public int stackingDepth

useLogistic

public boolean useLogistic

useTargetPrediction

public boolean useTargetPrediction

useConfidence

public boolean useConfidence

splitter

public Splitter<Example[]> splitter

Constructor Detail

StackedSequenceLearner.StackingParams

public StackedSequenceLearner.StackingParams()

Method Detail

getHistorySize

public int getHistorySize()

Number of instances before the current target for which the predicted class will be used as a feature.

setHistorySize

public void setHistorySize(int newHistorySize)

getFutureSize

public int getFutureSize()

Number of instances after the current target for which the predicted class will be used as a feature.

setFutureSize

public void setFutureSize(int newFutureSize)

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)