edu.illinois.cs.cogcomp.lbjava.learn

Class SparseConfidenceWeighted.Parameters

java.lang.Object

edu.illinois.cs.cogcomp.lbjava.learn.Learner.Parameters

edu.illinois.cs.cogcomp.lbjava.learn.LinearThresholdUnit.Parameters

edu.illinois.cs.cogcomp.lbjava.learn.SparseConfidenceWeighted.Parameters

All Implemented Interfaces:

Serializable

Enclosing class:

SparseConfidenceWeighted

public static class SparseConfidenceWeighted.Parameters
extends LinearThresholdUnit.Parameters

Simply a container for all of SparseConfidenceWeighted's configurable parameters. Using instances of this class should make code more readable and constructors less complicated.

Author:

Nick Rizzolo

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected double	confidence The confidence parameter as described above; default SparseConfidenceWeighted.defaultConfidence.
protected double	initialVariance The strictly positive initial variance of the parameters; default SparseConfidenceWeighted.defaultInitialVariance.
protected SparseWeightVector	variances The current variances of the parameters; default LinearThresholdUnit.defaultWeightVector.

Fields inherited from class edu.illinois.cs.cogcomp.lbjava.learn.LinearThresholdUnit.Parameters

initialWeight, learningRate, negativeThickness, positiveThickness, thickness, threshold, weightVector

Fields inherited from class edu.illinois.cs.cogcomp.lbjava.learn.Learner.Parameters

rounds

Constructor Summary

Constructors

Constructor and Description
Parameters() Sets all the default values.
Parameters(LinearThresholdUnit.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.
Parameters(SparseConfidenceWeighted.Parameters p) Copy constructor.

Method Summary

Modifier and Type	Method and Description
String	nonDefaultString() Creates a string representation of these parameters in which only those parameters that differ from their default values are mentioned.
void	setParameters(Learner l) Calls the appropriate Learner.setParameters(Parameters) method for this Parameters object.

Methods inherited from class java.lang.Object

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

Field Detail

confidence

protected double confidence

The confidence parameter as described above; default SparseConfidenceWeighted.defaultConfidence.

initialVariance

protected double initialVariance

The strictly positive initial variance of the parameters; default SparseConfidenceWeighted.defaultInitialVariance.

variances

protected SparseWeightVector variances

The current variances of the parameters; default LinearThresholdUnit.defaultWeightVector.

Constructor Detail

Parameters

public Parameters()

Sets all the default values.

Parameters

public Parameters(LinearThresholdUnit.Parameters p)

Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.

Parameters

public Parameters(SparseConfidenceWeighted.Parameters p)

Copy constructor.

Method Detail

setParameters

public void setParameters(Learner l)

Calls the appropriate Learner.setParameters(Parameters) method for this Parameters object.

Overrides:

setParameters in class LinearThresholdUnit.Parameters

Parameters:

l - The learner whose parameters will be set.

nonDefaultString

public String nonDefaultString()

Creates a string representation of these parameters in which only those parameters that differ from their default values are mentioned.

Overrides:

nonDefaultString in class LinearThresholdUnit.Parameters