gov.sandia.cognition.learning.algorithm.perceptron.kernel

Class KernelBinaryCategorizerOnlineLearnerAdapter<InputType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.AbstractBatchAndIncrementalLearner<InputOutputPair<? extends InputType,OutputType>,ResultType>

gov.sandia.cognition.learning.algorithm.AbstractSupervisedBatchAndIncrementalLearner<InputType,java.lang.Boolean,DefaultKernelBinaryCategorizer<InputType>>

gov.sandia.cognition.learning.algorithm.perceptron.kernel.AbstractOnlineKernelBinaryCategorizerLearner<InputType>

gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelBinaryCategorizerOnlineLearnerAdapter<InputType>

Type Parameters:

InputType - The input type to perform learning over. It is passed to the kernel function.

All Implemented Interfaces:

BatchAndIncrementalLearner<InputOutputPair<? extends InputType,java.lang.Boolean>,DefaultKernelBinaryCategorizer<InputType>>, BatchLearner<java.util.Collection<? extends InputOutputPair<? extends InputType,java.lang.Boolean>>,DefaultKernelBinaryCategorizer<InputType>>, IncrementalLearner<InputOutputPair<? extends InputType,java.lang.Boolean>,DefaultKernelBinaryCategorizer<InputType>>, SupervisedBatchAndIncrementalLearner<InputType,java.lang.Boolean,DefaultKernelBinaryCategorizer<InputType>>, SupervisedBatchLearner<InputType,java.lang.Boolean,DefaultKernelBinaryCategorizer<InputType>>, SupervisedIncrementalLearner<InputType,java.lang.Boolean,DefaultKernelBinaryCategorizer<InputType>>, KernelContainer<InputType>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

public class KernelBinaryCategorizerOnlineLearnerAdapter<InputType>
extends AbstractOnlineKernelBinaryCategorizerLearner<InputType>

A wrapper class for a KernelizableBinaryCategorizerOnlineLearner that allows it to be used as a batch or incremental learner over the input type directly, rather than using utility methods.

Since:

3.3.0

Author:

Justin Basilico

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected KernelizableBinaryCategorizerOnlineLearner	learner The wrapped kernelizable learner.

Fields inherited from class gov.sandia.cognition.learning.algorithm.perceptron.kernel.AbstractOnlineKernelBinaryCategorizerLearner

kernel

Constructor Summary

Constructors

Constructor and Description
KernelBinaryCategorizerOnlineLearnerAdapter() Creates a new KernelBinaryCategorizerOnlineLearnerAdapter with a null learner.
KernelBinaryCategorizerOnlineLearnerAdapter(Kernel<? super InputType> kernel, KernelizableBinaryCategorizerOnlineLearner learner) Creates a new KernelBinaryCategorizerOnlineLearnerAdapter with the given kernel and learner.

Method Summary

Modifier and Type	Method and Description
DefaultKernelBinaryCategorizer<InputType>	createInitialLearnedObject() Creates a new initial learned object, before any data is given.
KernelizableBinaryCategorizerOnlineLearner	getLearner() Gets the kernelizable learner that this adapter is wrapping.
void	setLearner(KernelizableBinaryCategorizerOnlineLearner learner) Sets the kernelizable learner that this adapter is wrapping.
void	update(DefaultKernelBinaryCategorizer<InputType> target, InputOutputPair<? extends InputType,java.lang.Boolean> data) The update method updates an object of ResultType using the given new data of type DataType, using some form of "learning" algorithm.
void	update(DefaultKernelBinaryCategorizer<InputType> target, InputType input, boolean output) Updates the target categorizer based on the given input and its associated output.
void	update(DefaultKernelBinaryCategorizer<InputType> target, InputType input, java.lang.Boolean output) The update method updates an object of ResultType using the given a new supervised input-output pair, using some form of "learning" algorithm.

Methods inherited from class gov.sandia.cognition.learning.algorithm.perceptron.kernel.AbstractOnlineKernelBinaryCategorizerLearner

getKernel, setKernel

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.util.CloneableSerializable

clone

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

learn

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

learn

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

update

Field Detail

learner

protected KernelizableBinaryCategorizerOnlineLearner learner

The wrapped kernelizable learner.

Constructor Detail

KernelBinaryCategorizerOnlineLearnerAdapter

public KernelBinaryCategorizerOnlineLearnerAdapter()

Creates a new KernelBinaryCategorizerOnlineLearnerAdapter with a null learner.

KernelBinaryCategorizerOnlineLearnerAdapter

public KernelBinaryCategorizerOnlineLearnerAdapter(Kernel<? super InputType> kernel,
                                                   KernelizableBinaryCategorizerOnlineLearner learner)

Creates a new KernelBinaryCategorizerOnlineLearnerAdapter with the given kernel and learner.

Parameters:

kernel - The kernel to use.

learner - The kernelizable learner to use.

Method Detail

createInitialLearnedObject

public DefaultKernelBinaryCategorizer<InputType> createInitialLearnedObject()

Description copied from interface: IncrementalLearner

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

Specified by:

createInitialLearnedObject in interface IncrementalLearner<InputOutputPair<? extends InputType,java.lang.Boolean>,DefaultKernelBinaryCategorizer<InputType>>

Overrides:

createInitialLearnedObject in class AbstractOnlineKernelBinaryCategorizerLearner<InputType>

Returns:

The initial learned object.

update

public void update(DefaultKernelBinaryCategorizer<InputType> target,
                   InputOutputPair<? extends InputType,java.lang.Boolean> 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<InputOutputPair<? extends InputType,java.lang.Boolean>,DefaultKernelBinaryCategorizer<InputType>>

Overrides:

update in class AbstractSupervisedBatchAndIncrementalLearner<InputType,java.lang.Boolean,DefaultKernelBinaryCategorizer<InputType>>

Parameters:

target - The object to update.

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

update

public void update(DefaultKernelBinaryCategorizer<InputType> target,
                   InputType input,
                   java.lang.Boolean output)

Description copied from interface: SupervisedIncrementalLearner

The update method updates an object of ResultType using the given a new supervised input-output pair, using some form of "learning" algorithm.

Specified by:

update in interface SupervisedIncrementalLearner<InputType,java.lang.Boolean,DefaultKernelBinaryCategorizer<InputType>>

Overrides:

update in class AbstractOnlineKernelBinaryCategorizerLearner<InputType>

Parameters:

target - The object to update.

input - The supervised input to learn from.

output - The supervised output to learn from.

update

public void update(DefaultKernelBinaryCategorizer<InputType> target,
                   InputType input,
                   boolean output)

Description copied from class: AbstractOnlineKernelBinaryCategorizerLearner

Updates the target categorizer based on the given input and its associated output.

Specified by:

update in class AbstractOnlineKernelBinaryCategorizerLearner<InputType>

Parameters:

target - The target categorizer to update.

input - The input value to learn from.

output - The output value associated with the input.

getLearner

public KernelizableBinaryCategorizerOnlineLearner getLearner()

Gets the kernelizable learner that this adapter is wrapping.

Returns:

The kernelizable learner that this adapter is wrapping.

setLearner

public void setLearner(KernelizableBinaryCategorizerOnlineLearner learner)

Sets the kernelizable learner that this adapter is wrapping.

Parameters:

learner - The kernelizable learner that this adapter is wrapping.