gov.sandia.cognition.learning.algorithm.perceptron

Class OnlinePassiveAggressivePerceptron.AbstractSoftMargin

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.AbstractBatchAndIncrementalLearner<InputOutputPair<? extends InputType,OutputType>,ResultType>

gov.sandia.cognition.learning.algorithm.AbstractSupervisedBatchAndIncrementalLearner<Vectorizable,java.lang.Boolean,LinearBinaryCategorizer>

gov.sandia.cognition.learning.algorithm.perceptron.AbstractOnlineLinearBinaryCategorizerLearner

gov.sandia.cognition.learning.algorithm.perceptron.AbstractKernelizableBinaryCategorizerOnlineLearner

gov.sandia.cognition.learning.algorithm.perceptron.AbstractLinearCombinationOnlineLearner

gov.sandia.cognition.learning.algorithm.perceptron.OnlinePassiveAggressivePerceptron

gov.sandia.cognition.learning.algorithm.perceptron.OnlinePassiveAggressivePerceptron.AbstractSoftMargin

All Implemented Interfaces:

BatchAndIncrementalLearner<InputOutputPair<? extends Vectorizable,java.lang.Boolean>,LinearBinaryCategorizer>, BatchLearner<java.util.Collection<? extends InputOutputPair<? extends Vectorizable,java.lang.Boolean>>,LinearBinaryCategorizer>, IncrementalLearner<InputOutputPair<? extends Vectorizable,java.lang.Boolean>,LinearBinaryCategorizer>, KernelizableBinaryCategorizerOnlineLearner, SupervisedBatchAndIncrementalLearner<Vectorizable,java.lang.Boolean,LinearBinaryCategorizer>, SupervisedBatchLearner<Vectorizable,java.lang.Boolean,LinearBinaryCategorizer>, SupervisedIncrementalLearner<Vectorizable,java.lang.Boolean,LinearBinaryCategorizer>, VectorFactoryContainer, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Direct Known Subclasses:

OnlinePassiveAggressivePerceptron.LinearSoftMargin, OnlinePassiveAggressivePerceptron.QuadraticSoftMargin

Enclosing class:

OnlinePassiveAggressivePerceptron

public abstract static class OnlinePassiveAggressivePerceptron.AbstractSoftMargin
extends OnlinePassiveAggressivePerceptron

An abstract class for soft-margin versions of the Passive-Aggressive algorithm. Stores the aggressiveness parameter (C).

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class gov.sandia.cognition.learning.algorithm.perceptron.OnlinePassiveAggressivePerceptron

OnlinePassiveAggressivePerceptron.AbstractSoftMargin, OnlinePassiveAggressivePerceptron.LinearSoftMargin, OnlinePassiveAggressivePerceptron.QuadraticSoftMargin

Field Summary

Fields

Modifier and Type	Field and Description
protected double	aggressiveness The aggressiveness parameter (C), which is the trade-off between aggressive updating to meet an incorrect example and keeping history around.
static double	DEFAULT_AGGRESSIVENESS The default aggressiveness is 0.001.

Fields inherited from class gov.sandia.cognition.learning.algorithm.perceptron.OnlinePassiveAggressivePerceptron

DEFAULT_UPDATE_BIAS

Fields inherited from class gov.sandia.cognition.learning.algorithm.perceptron.AbstractLinearCombinationOnlineLearner

updateBias

Fields inherited from class gov.sandia.cognition.learning.algorithm.perceptron.AbstractOnlineLinearBinaryCategorizerLearner

vectorFactory

Constructor Summary

Constructors

Constructor and Description
AbstractSoftMargin() Creates a new AbstractSoftMargin with default parameters.
AbstractSoftMargin(double aggressiveness) Creates a new AbstractSoftMargin with the given aggressiveness.
AbstractSoftMargin(double aggressiveness, VectorFactory<?> vectorFactory) Creates a new AbstractSoftMargin with the given parameters.

Method Summary

Modifier and Type	Method and Description
double	getAggressiveness() Gets the aggressiveness parameter (C), which is the trade-off between aggressive updating to meet an incorrect example and keeping history around.
void	setAggressiveness(double aggressiveness) Sets the aggressiveness parameter (C), which is the trade-off between aggressive updating to meet an incorrect example and keeping history around.

Methods inherited from class gov.sandia.cognition.learning.algorithm.perceptron.OnlinePassiveAggressivePerceptron

computeUpdate, computeUpdate, computeUpdate

Methods inherited from class gov.sandia.cognition.learning.algorithm.perceptron.AbstractLinearCombinationOnlineLearner

computeDecay, computeDecay, computeRescaling, computeRescaling, createInitialLearnedObject, initialize, initialize, isUpdateBias, setUpdateBias, update, update

Methods inherited from class gov.sandia.cognition.learning.algorithm.perceptron.AbstractKernelizableBinaryCategorizerOnlineLearner

createKernelLearner, learn, update, update, update

Methods inherited from class gov.sandia.cognition.learning.algorithm.perceptron.AbstractOnlineLinearBinaryCategorizerLearner

createInitialLearnedObject, getVectorFactory, setVectorFactory, update

Methods inherited from class gov.sandia.cognition.learning.algorithm.AbstractSupervisedBatchAndIncrementalLearner

update

Methods inherited from class gov.sandia.cognition.learning.algorithm.AbstractBatchAndIncrementalLearner

clone, learn, learn, update

Methods inherited from class java.lang.Object

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

Methods inherited from interface gov.sandia.cognition.learning.algorithm.SupervisedIncrementalLearner

update

Methods inherited from interface gov.sandia.cognition.learning.algorithm.BatchAndIncrementalLearner

learn

Methods inherited from interface gov.sandia.cognition.learning.algorithm.BatchLearner

learn

Methods inherited from interface gov.sandia.cognition.learning.algorithm.IncrementalLearner

createInitialLearnedObject, update, update

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Field Detail

DEFAULT_AGGRESSIVENESS

public static final double DEFAULT_AGGRESSIVENESS

The default aggressiveness is 0.001.

See Also:

Constant Field Values

aggressiveness

protected double aggressiveness

The aggressiveness parameter (C), which is the trade-off between aggressive updating to meet an incorrect example and keeping history around.

Constructor Detail

AbstractSoftMargin

public AbstractSoftMargin()

Creates a new AbstractSoftMargin with default parameters.

AbstractSoftMargin

public AbstractSoftMargin(double aggressiveness)

Creates a new AbstractSoftMargin with the given aggressiveness.

Parameters:

aggressiveness - The aggressiveness. Must be positive.

AbstractSoftMargin

public AbstractSoftMargin(double aggressiveness,
                          VectorFactory<?> vectorFactory)

Creates a new AbstractSoftMargin with the given parameters.

Parameters:

aggressiveness - The aggressiveness. Must be positive.

vectorFactory - The factory to use to create new weight vectors.

Method Detail

getAggressiveness

public double getAggressiveness()

Gets the aggressiveness parameter (C), which is the trade-off between aggressive updating to meet an incorrect example and keeping history around.

Returns:

The aggressiveness. Must be positive.

setAggressiveness

public void setAggressiveness(double aggressiveness)

Sets the aggressiveness parameter (C), which is the trade-off between aggressive updating to meet an incorrect example and keeping history around.

Parameters:

aggressiveness - The aggressiveness. Must be positive.