gov.sandia.cognition.learning.function.categorization

Class WinnerTakeAllCategorizer.Learner<InputType,CategoryType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.AbstractBatchLearnerContainer<BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends InputType,Vector>>,? extends Evaluator<? super InputType,? extends Vectorizable>>>

gov.sandia.cognition.learning.function.categorization.WinnerTakeAllCategorizer.Learner<InputType,CategoryType>

Type Parameters:

InputType - The type of the input data for the learner.

CategoryType - The type of the output categories.

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends InputOutputPair<? extends InputType,CategoryType>>,WinnerTakeAllCategorizer<InputType,CategoryType>>, BatchLearnerContainer<BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends InputType,Vector>>,? extends Evaluator<? super InputType,? extends Vectorizable>>>, SupervisedBatchLearner<InputType,CategoryType,WinnerTakeAllCategorizer<InputType,CategoryType>>, VectorFactoryContainer, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

WinnerTakeAllCategorizer<InputType,CategoryType>

public static class WinnerTakeAllCategorizer.Learner<InputType,CategoryType>
extends AbstractBatchLearnerContainer<BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends InputType,Vector>>,? extends Evaluator<? super InputType,? extends Vectorizable>>>
implements SupervisedBatchLearner<InputType,CategoryType,WinnerTakeAllCategorizer<InputType,CategoryType>>, VectorFactoryContainer

A learner for the adapter. Makes it so that learning algorithms that produce evaluators whose outputs are vectors to be used for categorization.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected VectorFactory<?>	vectorFactory The vector factory used.

Fields inherited from class gov.sandia.cognition.learning.algorithm.AbstractBatchLearnerContainer

learner

Constructor Summary

Constructors

Constructor and Description
Learner() Creates a new learner adapter.
Learner(BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends InputType,Vector>>,Evaluator<? super InputType,? extends Vectorizable>> learner) Creates a new learner adapter with the given internal learner.

Method Summary

Modifier and Type	Method and Description
VectorFactory<?>	getVectorFactory() Gets the vector factory.
WinnerTakeAllCategorizer<InputType,CategoryType>	learn(java.util.Collection<? extends InputOutputPair<? extends InputType,CategoryType>> data) The learn method creates an object of ResultType using data of type DataType, using some form of "learning" algorithm.
void	setVectorFactory(VectorFactory<?> vectorFactory) Sets the vector factory.

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

clone, getLearner, setLearner

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

Field Detail

vectorFactory

protected VectorFactory<?> vectorFactory

The vector factory used.

Constructor Detail

Learner

public Learner()

Creates a new learner adapter.

Learner

public Learner(BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends InputType,Vector>>,Evaluator<? super InputType,? extends Vectorizable>> learner)

Creates a new learner adapter with the given internal learner.

Parameters:

learner - The learner to adapt.

Method Detail

learn

public WinnerTakeAllCategorizer<InputType,CategoryType> learn(java.util.Collection<? extends InputOutputPair<? extends InputType,CategoryType>> 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<java.util.Collection<? extends InputOutputPair<? extends InputType,CategoryType>>,WinnerTakeAllCategorizer<InputType,CategoryType>>

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.

getVectorFactory

public VectorFactory<?> getVectorFactory()

Gets the vector factory.

Specified by:

getVectorFactory in interface VectorFactoryContainer

Returns:

The vector factory.

setVectorFactory

public void setVectorFactory(VectorFactory<?> vectorFactory)

Sets the vector factory.

Parameters:

vectorFactory - The vector factory.