com.bayesia.api.discretization.settings

Class EqualDistanceSettings

java.lang.Object

com.bayesia.api.discretization.settings.EqualDistanceSettings

All Implemented Interfaces:

DiscretizationSettings

public class EqualDistanceSettings
extends java.lang.Object
implements DiscretizationSettings

This class is used to perform equal distance discretization into the required number of intervals. It must be used with APIUtils.discretize(DiscretizationSettings, double[], double[])

Version:

4.0

Author:

Bayesia S.A.S.

Constructor Summary

Constructors

Constructor and Description
EqualDistanceSettings(int intervalCount, boolean logUsed) Create settings for the equal distance algorithm providing the number of intervals we want to obtain.

Method Summary

Modifier and Type	Method and Description
APIUtils.DISCRETIZATION	getDiscretization() Return a DISCRETIZATION indicating the discretization algorithm to use
int	getIntervalCount()
boolean	isLogUsed()

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

EqualDistanceSettings

public EqualDistanceSettings(int intervalCount,
                             boolean logUsed)

Create settings for the equal distance algorithm providing the number of intervals we want to obtain. This number must be superior or equal to 2. In some cases of data distribution, it is possible to use the log10 of the data before performing discretization by specifying logUsed

Parameters:

intervalCount - the number of intervals

logUsed - indicates if the data have to be converted into log before discretization

Method Detail

getDiscretization

public APIUtils.DISCRETIZATION getDiscretization()

Description copied from interface: DiscretizationSettings

Return a DISCRETIZATION indicating the discretization algorithm to use

Specified by:

getDiscretization in interface DiscretizationSettings

Returns:

the discretization to use

getIntervalCount

public int getIntervalCount()

Returns:

the number of intervals

isLogUsed

public boolean isLogUsed()

Returns:

true if the data have to be converted as log before discretization, false otherwise