gov.sandia.cognition.learning.algorithm.baseline

Class WeightedMeanLearner

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.baseline.WeightedMeanLearner

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends InputOutputPair<? extends java.lang.Object,java.lang.Double>>,ConstantEvaluator<java.lang.Double>>, SupervisedBatchLearner<java.lang.Object,java.lang.Double,ConstantEvaluator<java.lang.Double>>, 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 WeightedMeanLearner
extends AbstractCloneableSerializable
implements SupervisedBatchLearner<java.lang.Object,java.lang.Double,ConstantEvaluator<java.lang.Double>>

The WeightedMeanLearner class implements a baseline learner that computes the weighted mean output value.

Since:

2.1

Author:

Justin Basilico

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WeightedMeanLearner() Creates a new MeanLearner.

Method Summary

Modifier and Type	Method and Description
ConstantEvaluator<java.lang.Double>	learn(java.util.Collection<? extends InputOutputPair<?,java.lang.Double>> data) Creates a constant evaluator for the weighted mean output value of the given dataset.

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

WeightedMeanLearner

public WeightedMeanLearner()

Creates a new MeanLearner.

Method Detail

learn

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

Creates a constant evaluator for the weighted mean output value of the given dataset.

Specified by:

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

Parameters:

data - The dataset of input-output pairs to use.

Returns:

A constant evaluator for the weighted mean output value.