gov.sandia.cognition.learning.data.feature

Class StandardDistributionNormalizer.Learner

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.data.feature.StandardDistributionNormalizer.Learner

All Implemented Interfaces:

BatchLearner<java.util.Collection<java.lang.Double>,StandardDistributionNormalizer>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

StandardDistributionNormalizer

public static class StandardDistributionNormalizer.Learner
extends AbstractCloneableSerializable
implements BatchLearner<java.util.Collection<java.lang.Double>,StandardDistributionNormalizer>

The Learner class implements a BatchLearner object for a StandardDistributionNormalizer.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static double	DEFAULT_OUTLIER_PERCENT The default percentage of outliers is 0.0.
protected double	outlierPercent The percentage of outliers to exclude from learning.

Constructor Summary

Constructors

Constructor and Description
Learner() Creates a new StandardDistributionNormalizer.Learner.
Learner(double outlierPercent) Creates a new StandardDistributionNormalizer.Learner.

Method Summary

Modifier and Type	Method and Description
double	getOutlierPercent() Sets the percentage of outliers to exclude from learning.
StandardDistributionNormalizer	learn(java.util.Collection<java.lang.Double> values) Learns a StandardDistributionNormalizer from the given values by computing the mean and standard deviation of the values.
void	setOutlierPercent(double outlierPercent) Sets the percentage of outliers to exclude from learning.

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.util.CloneableSerializable

clone

Field Detail

DEFAULT_OUTLIER_PERCENT

public static final double DEFAULT_OUTLIER_PERCENT

The default percentage of outliers is 0.0.

See Also:

Constant Field Values

outlierPercent

protected double outlierPercent

The percentage of outliers to exclude from learning.

Constructor Detail

Learner

public Learner()

Creates a new StandardDistributionNormalizer.Learner.

Learner

public Learner(double outlierPercent)

Creates a new StandardDistributionNormalizer.Learner.

Parameters:

outlierPercent - The percentage of outliers to exclude.

Method Detail

learn

public StandardDistributionNormalizer learn(java.util.Collection<java.lang.Double> values)

Learns a StandardDistributionNormalizer from the given values by computing the mean and standard deviation of the values.

Specified by:

learn in interface BatchLearner<java.util.Collection<java.lang.Double>,StandardDistributionNormalizer>

Parameters:

values - The values to use.

Returns:

The StandardDistributionNormalizer computed from the given values.

getOutlierPercent

public double getOutlierPercent()

Sets the percentage of outliers to exclude from learning.

Returns:

The percentage of outliers.

setOutlierPercent

public void setOutlierPercent(double outlierPercent)

Sets the percentage of outliers to exclude from learning. Must be between 0.0 and 1.0.

Parameters:

outlierPercent - The percentage of outliers.