gov.sandia.cognition.learning.function.vector
Class GaussianContextRecognizer.Learner

java.lang.Object
  gov.sandia.cognition.util.AbstractCloneableSerializable
      gov.sandia.cognition.algorithm.AbstractIterativeAlgorithm
          gov.sandia.cognition.algorithm.AnytimeAlgorithmWrapper<GaussianContextRecognizer,AnytimeBatchLearner<Collection<? extends Vector>,Collection<GaussianCluster>>>
              gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer.Learner

All Implemented Interfaces:

AnytimeAlgorithm<GaussianContextRecognizer>, IterativeAlgorithm, IterativeAlgorithmListener, MeasurablePerformanceAlgorithm, StoppableAlgorithm, AnytimeBatchLearner<Collection<? extends Vector>,GaussianContextRecognizer>, BatchLearner<Collection<? extends Vector>,GaussianContextRecognizer>, CloneableSerializable, Serializable, Cloneable

Enclosing class:

GaussianContextRecognizer

public static class GaussianContextRecognizer.Learner
extends AnytimeAlgorithmWrapper<GaussianContextRecognizer,AnytimeBatchLearner<Collection<? extends Vector>,Collection<GaussianCluster>>>
implements AnytimeBatchLearner<Collection<? extends Vector>,GaussianContextRecognizer>, MeasurablePerformanceAlgorithm

Creates a GaussianContextRecognizer from a Dataset using a BatchClusterer

See Also:

Serialized Form

Field Summary

Fields inherited from class gov.sandia.cognition.algorithm.AbstractIterativeAlgorithm

DEFAULT_ITERATION, iteration

Constructor Summary

GaussianContextRecognizer.Learner()
Creates a new Learner.

GaussianContextRecognizer.Learner(KMeansClusterer<Vector,GaussianCluster> algorithm)
Creates a new instance of Learner

Method Summary

Collection<? extends Vector>	getData() Gets the data to use for learning.
boolean	getKeepGoing() Gets the keep going value, which indicates if the algorithm should continue on to another step.
NamedValue<? extends Number>	getPerformance() Gets the name-value pair that describes the current performance of the algorithm.
GaussianContextRecognizer	getResult() Gets the current result of the algorithm.
GaussianContextRecognizer	learn(Collection<? extends Vector> 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.algorithm.AnytimeAlgorithmWrapper

algorithmEnded, algorithmStarted, clone, getAlgorithm, getIteration, getMaxIterations, isResultValid, readResolve, setAlgorithm, setMaxIterations, stepEnded, stepStarted, stop

Methods inherited from class gov.sandia.cognition.algorithm.AbstractIterativeAlgorithm

addIterativeAlgorithmListener, fireAlgorithmEnded, fireAlgorithmStarted, fireStepEnded, fireStepStarted, getListeners, removeIterativeAlgorithmListener, setIteration, setListeners

Methods inherited from class java.lang.Object

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

Methods inherited from interface gov.sandia.cognition.algorithm.AnytimeAlgorithm

getMaxIterations, setMaxIterations

Methods inherited from interface gov.sandia.cognition.algorithm.IterativeAlgorithm

addIterativeAlgorithmListener, getIteration, removeIterativeAlgorithmListener

Methods inherited from interface gov.sandia.cognition.algorithm.StoppableAlgorithm

isResultValid, stop

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

clone

Constructor Detail

GaussianContextRecognizer.Learner

public GaussianContextRecognizer.Learner()

Creates a new Learner.

GaussianContextRecognizer.Learner

public GaussianContextRecognizer.Learner(KMeansClusterer<Vector,GaussianCluster> algorithm)

Creates a new instance of Learner

Parameters:

algorithm - Clustering algorithm to create the GaussianContextRecognizer from

Method Detail

learn

public GaussianContextRecognizer learn(Collection<? extends Vector> 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<Collection<? extends Vector>,GaussianContextRecognizer>

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.

getResult

public GaussianContextRecognizer getResult()

Description copied from interface: AnytimeAlgorithm

Gets the current result of the algorithm.

Specified by:

getResult in interface AnytimeAlgorithm<GaussianContextRecognizer>

Returns:

Current result of the algorithm.

getPerformance

public NamedValue<? extends Number> getPerformance()

Description copied from interface: MeasurablePerformanceAlgorithm

Gets the name-value pair that describes the current performance of the algorithm. For most algorithms, this is the value that they are attempting to optimize.

Specified by:

getPerformance in interface MeasurablePerformanceAlgorithm

Returns:

The name-value pair that describes the current performance of the algorithm.

getKeepGoing

public boolean getKeepGoing()

Description copied from interface: AnytimeBatchLearner

Gets the keep going value, which indicates if the algorithm should continue on to another step.

Specified by:

getKeepGoing in interface AnytimeBatchLearner<Collection<? extends Vector>,GaussianContextRecognizer>

Returns:

The keep going value.

getData

public Collection<? extends Vector> getData()

Description copied from interface: AnytimeBatchLearner

Gets the data to use for learning. This is set when learning starts and then cleared out once learning is finished.

Specified by:

getData in interface AnytimeBatchLearner<Collection<? extends Vector>,GaussianContextRecognizer>

Returns:

The data to use for learning.