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

Class Forgetron.Result<InputType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.function.categorization.AbstractBinaryCategorizer<InputType>

gov.sandia.cognition.learning.function.categorization.AbstractDiscriminantBinaryCategorizer<InputType>

gov.sandia.cognition.learning.function.categorization.KernelBinaryCategorizer<InputType,DefaultWeightedValue<InputType>>

gov.sandia.cognition.learning.function.categorization.DefaultKernelBinaryCategorizer<InputType>

gov.sandia.cognition.learning.algorithm.perceptron.kernel.Forgetron.Result<InputType>

Type Parameters:

InputType - The input type to categorize, which is passed to the kernel function.

All Implemented Interfaces:

Evaluator<InputType,java.lang.Boolean>, BinaryCategorizer<InputType>, Categorizer<InputType,java.lang.Boolean>, DiscriminantBinaryCategorizer<InputType>, DiscriminantCategorizer<InputType,java.lang.Boolean,java.lang.Double>, ThresholdBinaryCategorizer<InputType>, KernelContainer<InputType>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

Forgetron<InputType>

public static class Forgetron.Result<InputType>
extends DefaultKernelBinaryCategorizer<InputType>

The result object learned by the Forgetron, which extends the DefaultKernelBinaryCategorizer with some additional state information needed in the update step.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected long	errorCount The number of errors that the categorizer has made in the learning step.
protected double	q The value of Q for the algorithm.

Fields inherited from class gov.sandia.cognition.learning.function.categorization.KernelBinaryCategorizer

bias, DEFAULT_BIAS, examples, kernel

Fields inherited from class gov.sandia.cognition.learning.function.categorization.AbstractBinaryCategorizer

BINARY_CATEGORIES

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
long	getErrorCount() Gets the error count.
protected double	getQ() Gets the value Q updated by the algorithm.
protected void	setErrorCount(long errorCount) Sets the error count.
protected void	setQ(double q) Gets the value Q updated by the algorithm.

Methods inherited from class gov.sandia.cognition.learning.function.categorization.DefaultKernelBinaryCategorizer

add, get, getExampleCount, remove

Methods inherited from class gov.sandia.cognition.learning.function.categorization.KernelBinaryCategorizer

evaluateAsDouble, getBias, getExamples, getKernel, getThreshold, setBias, setExamples, setKernel, setThreshold

Methods inherited from class gov.sandia.cognition.learning.function.categorization.AbstractDiscriminantBinaryCategorizer

evaluate, evaluateWithDiscriminant

Methods inherited from class gov.sandia.cognition.learning.function.categorization.AbstractBinaryCategorizer

getCategories

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

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.function.categorization.DiscriminantCategorizer

evaluateWithDiscriminant

Methods inherited from interface gov.sandia.cognition.learning.function.categorization.Categorizer

getCategories

Methods inherited from interface gov.sandia.cognition.evaluator.Evaluator

evaluate

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

clone

Field Detail

errorCount

protected long errorCount

The number of errors that the categorizer has made in the learning step.

q

protected double q

The value of Q for the algorithm.

Constructor Detail

Result

public Result()

Creates a new Result with a null kernel.

Result

public Result(Kernel<? super InputType> kernel)

Creates a new Result with the given kernel.

Parameters:

kernel - The kernel to use.

Method Detail

getErrorCount

public long getErrorCount()

Gets the error count.

Returns:

The error count.

setErrorCount

protected void setErrorCount(long errorCount)

Sets the error count.

Parameters:

errorCount - The error count.

getQ

protected double getQ()

Gets the value Q updated by the algorithm.

Returns:

The Q value.

setQ

protected void setQ(double q)

Gets the value Q updated by the algorithm.

Parameters:

q - The Q value.