gov.sandia.cognition.learning.function.categorization

Class FisherLinearDiscriminantBinaryCategorizer.ClosedFormSolver

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.function.categorization.FisherLinearDiscriminantBinaryCategorizer.ClosedFormSolver

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends InputOutputPair<? extends Vector,java.lang.Boolean>>,FisherLinearDiscriminantBinaryCategorizer>, SupervisedBatchLearner<Vector,java.lang.Boolean,FisherLinearDiscriminantBinaryCategorizer>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

FisherLinearDiscriminantBinaryCategorizer

public static class FisherLinearDiscriminantBinaryCategorizer.ClosedFormSolver
extends AbstractCloneableSerializable
implements SupervisedBatchLearner<Vector,java.lang.Boolean,FisherLinearDiscriminantBinaryCategorizer>

This class implements a closed form solver for the Fisher linear discriminant binary categorizer.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ClosedFormSolver() Default constructor.
ClosedFormSolver(double defaultCovariance) Creates a new ClosedFormSolver.

Method Summary

Modifier and Type	Method and Description
FisherLinearDiscriminantBinaryCategorizer	learn(java.util.Collection<? extends InputOutputPair<? extends Vector,java.lang.Boolean>> data) The learn method creates an object of ResultType using data of type DataType, using some form of "learning" algorithm.
static FisherLinearDiscriminantBinaryCategorizer	learn(java.util.Collection<? extends InputOutputPair<? extends Vector,java.lang.Boolean>> data, double defaultCovariance) Closed-form learning algorithm for a Fisher Linear Discriminant.

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

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

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

clone

Constructor Detail

ClosedFormSolver

public ClosedFormSolver()

Default constructor.

ClosedFormSolver

public ClosedFormSolver(double defaultCovariance)

Creates a new ClosedFormSolver.

Parameters:

defaultCovariance - The default covariance.

Method Detail

learn

public FisherLinearDiscriminantBinaryCategorizer learn(java.util.Collection<? extends InputOutputPair<? extends Vector,java.lang.Boolean>> data)

Description copied from interface: BatchLearner

The learn method creates an object of ResultType using data of type DataType, using some form of "learning" algorithm.

Specified by:

learn in interface BatchLearner<java.util.Collection<? extends InputOutputPair<? extends Vector,java.lang.Boolean>>,FisherLinearDiscriminantBinaryCategorizer>

Parameters:

data - The data that the learning algorithm will use to create an object of ResultType.

Returns:

The object that is created based on the given data using the learning algorithm.

learn

public static FisherLinearDiscriminantBinaryCategorizer learn(java.util.Collection<? extends InputOutputPair<? extends Vector,java.lang.Boolean>> data,
                                                              double defaultCovariance)

Closed-form learning algorithm for a Fisher Linear Discriminant.

Parameters:

data - The data to learn the discriminant categorizer from.

defaultCovariance - The default covariance.

Returns:

A discriminant categorizer learned from the data.