gov.sandia.cognition.statistics.distribution

Class DefaultDataDistribution.WeightedEstimator<KeyType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.AbstractBatchAndIncrementalLearner<WeightedValue<? extends KeyType>,DefaultDataDistribution.PMF<KeyType>>

gov.sandia.cognition.statistics.distribution.DefaultDataDistribution.WeightedEstimator<KeyType>

Type Parameters:

KeyType - Type of Key in the distribution

All Implemented Interfaces:

BatchAndIncrementalLearner<WeightedValue<? extends KeyType>,DefaultDataDistribution.PMF<KeyType>>, BatchLearner<java.util.Collection<? extends WeightedValue<? extends KeyType>>,DefaultDataDistribution.PMF<KeyType>>, IncrementalLearner<WeightedValue<? extends KeyType>,DefaultDataDistribution.PMF<KeyType>>, DistributionWeightedEstimator<KeyType,DefaultDataDistribution.PMF<KeyType>>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

DefaultDataDistribution<KeyType>

public static class DefaultDataDistribution.WeightedEstimator<KeyType>
extends AbstractBatchAndIncrementalLearner<WeightedValue<? extends KeyType>,DefaultDataDistribution.PMF<KeyType>>
implements DistributionWeightedEstimator<KeyType,DefaultDataDistribution.PMF<KeyType>>

A weighted estimator for a DefaultDataDistribution

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WeightedEstimator() Default constructor

Method Summary

Modifier and Type	Method and Description
DefaultDataDistribution.PMF<KeyType>	createInitialLearnedObject() Creates a new initial learned object, before any data is given.
void	update(DefaultDataDistribution.PMF<KeyType> target, WeightedValue<? extends KeyType> data) The update method updates an object of ResultType using the given new data of type DataType, using some form of "learning" algorithm.

Methods inherited from class gov.sandia.cognition.learning.algorithm.AbstractBatchAndIncrementalLearner

clone, learn, learn, update

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface gov.sandia.cognition.learning.algorithm.BatchLearner

learn

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Constructor Detail

WeightedEstimator

public WeightedEstimator()

Default constructor

Method Detail

createInitialLearnedObject

public DefaultDataDistribution.PMF<KeyType> createInitialLearnedObject()

Description copied from interface: IncrementalLearner

Creates a new initial learned object, before any data is given.

Specified by:

createInitialLearnedObject in interface IncrementalLearner<WeightedValue<? extends KeyType>,DefaultDataDistribution.PMF<KeyType>>

Returns:

The initial learned object.

update

public void update(DefaultDataDistribution.PMF<KeyType> target,
                   WeightedValue<? extends KeyType> data)

Description copied from interface: IncrementalLearner

The update method updates an object of ResultType using the given new data of type DataType, using some form of "learning" algorithm.

Specified by:

update in interface IncrementalLearner<WeightedValue<? extends KeyType>,DefaultDataDistribution.PMF<KeyType>>

Parameters:

target - The object to update.

data - The new data for the learning algorithm to use to update the object.