gov.sandia.cognition.learning.algorithm.baseline

Class WeightedMostFrequentLearner<OutputType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.baseline.WeightedMostFrequentLearner<OutputType>

Type Parameters:

OutputType - The output type of the data.

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends InputOutputPair<? extends java.lang.Object,OutputType>>,ConstantEvaluator<OutputType>>, SupervisedBatchLearner<java.lang.Object,OutputType,ConstantEvaluator<OutputType>>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

@CodeReview(reviewer="Kevin R. Dixon",
            date="2008-07-22",
            changesNeeded=false,
            comments={"Fixed a few typos in javadoc.","Removed implements Serializeable, as BatchLearner already does that.","I don\'t particularly like this class... I just don\'t think it\'s useful.","However, the code looks fine."})
public class WeightedMostFrequentLearner<OutputType>
extends AbstractCloneableSerializable
implements SupervisedBatchLearner<java.lang.Object,OutputType,ConstantEvaluator<OutputType>>

The WeightedMostFrequentLearner class implements a baseline learning algorithm that finds the most frequent output of a given dataset based on the weights of the examples.

Since:

2.1

Author:

Justin Basilico

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WeightedMostFrequentLearner() Creates a new MostFrequentLearner.

Method Summary

Modifier and Type	Method and Description
ConstantEvaluator<OutputType>	learn(java.util.Collection<? extends InputOutputPair<? extends java.lang.Object,OutputType>> data) Creates a constant evaluator based on the most frequent output in a given collection of input-output pairs, taking the weight into account.

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

WeightedMostFrequentLearner

public WeightedMostFrequentLearner()

Creates a new MostFrequentLearner.

Method Detail

learn

public ConstantEvaluator<OutputType> learn(java.util.Collection<? extends InputOutputPair<? extends java.lang.Object,OutputType>> data)

Creates a constant evaluator based on the most frequent output in a given collection of input-output pairs, taking the weight into account.

Specified by:

learn in interface BatchLearner<java.util.Collection<? extends InputOutputPair<? extends java.lang.Object,OutputType>>,ConstantEvaluator<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.