gov.sandia.cognition.statistics.distribution

Class LaplaceDistribution.WeightedMaximumLikelihoodEstimator

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.distribution.LaplaceDistribution.WeightedMaximumLikelihoodEstimator

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends WeightedValue<? extends java.lang.Double>>,LaplaceDistribution>, DistributionWeightedEstimator<java.lang.Double,LaplaceDistribution>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

LaplaceDistribution

public static class LaplaceDistribution.WeightedMaximumLikelihoodEstimator
extends AbstractCloneableSerializable
implements DistributionWeightedEstimator<java.lang.Double,LaplaceDistribution>

Creates a UnivariateGaussian from weighted data

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WeightedMaximumLikelihoodEstimator() Default constructor

Method Summary

Modifier and Type	Method and Description
LaplaceDistribution	learn(java.util.Collection<? extends WeightedValue<? extends java.lang.Double>> data) Creates a new instance of LaplaceDistribution using a weighted Maximum Likelihood estimate based on the given data

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

WeightedMaximumLikelihoodEstimator

public WeightedMaximumLikelihoodEstimator()

Default constructor

Method Detail

learn

public LaplaceDistribution learn(java.util.Collection<? extends WeightedValue<? extends java.lang.Double>> data)

Creates a new instance of LaplaceDistribution using a weighted Maximum Likelihood estimate based on the given data

Specified by:

learn in interface BatchLearner<java.util.Collection<? extends WeightedValue<? extends java.lang.Double>>,LaplaceDistribution>

Parameters:

data - Weighed pairs of data (first is data, second is weight) that was generated by some unknown LaplaceDistribution distribution

Returns:

Maximum Likelihood UnivariateGaussian that generated the data