gov.sandia.cognition.learning.algorithm.nearest

Class NearestNeighborExhaustive.Learner<InputType,OutputType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.function.distance.DefaultDivergenceFunctionContainer<InputType,InputType>

gov.sandia.cognition.learning.algorithm.nearest.NearestNeighborExhaustive.Learner<InputType,OutputType>

Type Parameters:

InputType - The input type for nearest neighbor.

OutputType - The output type for nearest neighbor.

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends InputOutputPair<? extends InputType,OutputType>>,NearestNeighborExhaustive<InputType,OutputType>>, SupervisedBatchLearner<InputType,OutputType,NearestNeighborExhaustive<InputType,OutputType>>, DivergenceFunctionContainer<InputType,InputType>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

NearestNeighborExhaustive<InputType,OutputType>

public static class NearestNeighborExhaustive.Learner<InputType,OutputType>
extends DefaultDivergenceFunctionContainer<InputType,InputType>
implements SupervisedBatchLearner<InputType,OutputType,NearestNeighborExhaustive<InputType,OutputType>>

The NearestNeighborExhaustive.Learner class implements a batch learner for the NearestNeighborExhaustive class.

Since:

2.1

Author:

Justin Basilico

See Also:

Serialized Form

Field Summary

Fields inherited from class gov.sandia.cognition.learning.function.distance.DefaultDivergenceFunctionContainer

divergenceFunction

Constructor Summary

Constructors

Constructor and Description
Learner() Creates a new instance of NearestNeighborExhaustive.Learner.
Learner(DivergenceFunction<? super InputType,? super InputType> divergenceFunction) Creates a new instance of NearestNeighborExhaustive.Learner.

Method Summary

Modifier and Type	Method and Description
NearestNeighborExhaustive<InputType,OutputType>	learn(java.util.Collection<? extends InputOutputPair<? extends InputType,OutputType>> data) The learn method creates an object of ResultType using data of type DataType, using some form of "learning" algorithm.

Methods inherited from class gov.sandia.cognition.learning.function.distance.DefaultDivergenceFunctionContainer

clone, getDivergenceFunction, setDivergenceFunction

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

Learner

public Learner()

Creates a new instance of NearestNeighborExhaustive.Learner.

Learner

public Learner(DivergenceFunction<? super InputType,? super InputType> divergenceFunction)

Creates a new instance of NearestNeighborExhaustive.Learner.

Parameters:

divergenceFunction - The divergence function to use.

Method Detail

learn

public NearestNeighborExhaustive<InputType,OutputType> learn(java.util.Collection<? extends InputOutputPair<? extends InputType,OutputType>> 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 InputType,OutputType>>,NearestNeighborExhaustive<InputType,OutputType>>

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.