gov.sandia.cognition.learning.algorithm.bayes

Class DiscreteNaiveBayesCategorizer.Learner<InputType,CategoryType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.bayes.DiscreteNaiveBayesCategorizer.Learner<InputType,CategoryType>

Type Parameters:

InputType - Type of inputs to the categorizer.

CategoryType - Type of the categories of the categorizer.

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends InputOutputPair<? extends java.util.Collection<InputType>,CategoryType>>,DiscreteNaiveBayesCategorizer<InputType,CategoryType>>, SupervisedBatchLearner<java.util.Collection<InputType>,CategoryType,DiscreteNaiveBayesCategorizer<InputType,CategoryType>>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

DiscreteNaiveBayesCategorizer<InputType,CategoryType>

public static class DiscreteNaiveBayesCategorizer.Learner<InputType,CategoryType>
extends AbstractCloneableSerializable
implements SupervisedBatchLearner<java.util.Collection<InputType>,CategoryType,DiscreteNaiveBayesCategorizer<InputType,CategoryType>>

Learner for a DiscreteNaiveBayesCategorizer.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Learner() Default constructor.

Method Summary

Modifier and Type	Method and Description
DiscreteNaiveBayesCategorizer<InputType,CategoryType>	learn(java.util.Collection<? extends InputOutputPair<? extends java.util.Collection<InputType>,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

Learner

public Learner()

Default constructor.

Method Detail

learn

public DiscreteNaiveBayesCategorizer<InputType,CategoryType> learn(java.util.Collection<? extends InputOutputPair<? extends java.util.Collection<InputType>,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 java.util.Collection<InputType>,CategoryType>>,DiscreteNaiveBayesCategorizer<InputType,CategoryType>>

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.