gov.sandia.cognition.learning.function.categorization

Class BinaryVersusCategorizer.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,java.lang.Boolean>>,? extends Evaluator<? super InputType,java.lang.Boolean>>>

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

Type Parameters:

InputType - The input to learn from and the input to the learned categorizer.

CategoryType - The type of categories to learn from.

All Implemented Interfaces:

BatchLearner<java.util.Collection<? extends InputOutputPair<? extends InputType,CategoryType>>,BinaryVersusCategorizer<InputType,CategoryType>>, BatchLearnerContainer<BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends InputType,java.lang.Boolean>>,? extends Evaluator<? super InputType,java.lang.Boolean>>>, SupervisedBatchLearner<InputType,CategoryType,BinaryVersusCategorizer<InputType,CategoryType>>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

BinaryVersusCategorizer<InputType,CategoryType>

public static class BinaryVersusCategorizer.Learner<InputType,CategoryType>
extends AbstractBatchLearnerContainer<BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends InputType,java.lang.Boolean>>,? extends Evaluator<? super InputType,java.lang.Boolean>>>
implements SupervisedBatchLearner<InputType,CategoryType,BinaryVersusCategorizer<InputType,CategoryType>>

A learner for the BinaryVersusCategorizer. It learns a binary categorizer for each pair of categories.

See Also:

Serialized Form

Field Summary

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

learner

Constructor Summary

Constructors

Constructor and Description
Learner() Creates a new BinaryVersusCategorizer.Learner with no initial binary categorizer learner.
Learner(BatchLearner<? super java.util.Collection<? extends InputOutputPair<? extends InputType,java.lang.Boolean>>,? extends Evaluator<? super InputType,java.lang.Boolean>> learner) Creates a new BinaryVersusCategorizer.Learner with an binary categorizer learner to learn category versus category.

Method Summary

Modifier and Type	Method and Description
BinaryVersusCategorizer<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.

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

Constructor Detail

Learner

public Learner()

Creates a new BinaryVersusCategorizer.Learner with no initial binary categorizer learner.

Learner

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

Creates a new BinaryVersusCategorizer.Learner with an binary categorizer learner to learn category versus category.

Parameters:

learner - The binary categorizer learner to use to learn decision functions between categories.

Method Detail

learn

public BinaryVersusCategorizer<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>>,BinaryVersusCategorizer<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.