gov.sandia.cognition.learning.algorithm.bayes

Class VectorNaiveBayesCategorizer.BatchGaussianLearner<CategoryType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.bayes.VectorNaiveBayesCategorizer.BatchGaussianLearner<CategoryType>

Type Parameters:

CategoryType - The output category type for the categorizer. Must implement equals and hash code.

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends InputOutputPair<? extends Vectorizable,CategoryType>>,VectorNaiveBayesCategorizer<CategoryType,UnivariateGaussian.PDF>>, SupervisedBatchLearner<Vectorizable,CategoryType,VectorNaiveBayesCategorizer<CategoryType,UnivariateGaussian.PDF>>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

VectorNaiveBayesCategorizer<CategoryType,DistributionType extends UnivariateProbabilityDensityFunction>

public static class VectorNaiveBayesCategorizer.BatchGaussianLearner<CategoryType>
extends AbstractCloneableSerializable
implements SupervisedBatchLearner<Vectorizable,CategoryType,VectorNaiveBayesCategorizer<CategoryType,UnivariateGaussian.PDF>>

A supervised batch distributionLearner for a vector Naive Bayes categorizer that fits a Gaussian.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BatchGaussianLearner() Creates a new BatchGaussianLearner.

Method Summary

Modifier and Type	Method and Description
VectorNaiveBayesCategorizer<CategoryType,UnivariateGaussian.PDF>	learn(java.util.Collection<? extends InputOutputPair<? extends Vectorizable,CategoryType>> 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.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

BatchGaussianLearner

public BatchGaussianLearner()

Creates a new BatchGaussianLearner.

Method Detail

learn

public VectorNaiveBayesCategorizer<CategoryType,UnivariateGaussian.PDF> learn(java.util.Collection<? extends InputOutputPair<? extends Vectorizable,CategoryType>> 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 Vectorizable,CategoryType>>,VectorNaiveBayesCategorizer<CategoryType,UnivariateGaussian.PDF>>

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.