程序包 org.meteoinfo.math.stats.kde

类 KDE

java.lang.Object

org.meteoinfo.math.stats.kde.KDE

public class KDE
extends Object

方法概要

限定符和类型	方法	说明
double	logPdf(Event e)	Computed the log probability of event e.
static void	main(String... args)
static KDE	trainAdaptiveKDE(List<Event> data, double h0, int K)	Creates a Kernel Density Estimation for the data using the adaptive bandwidth method.
static KDE	trainAdaptiveKDE(List<Event> data, int K)	Creates a Kernel Density Estimation for the data using the adaptive bandwidth method with the default value of (h0 = 0).
static KDE	trainFixedKDE(List<Event> data, double h)	Creates a Kernel Density Estimation for the data using the fixed bandwidth method.

从类继承的方法 java.lang.Object

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

方法详细资料

trainFixedKDE

public static KDE trainFixedKDE(List<Event> data,
                                double h)

Creates a Kernel Density Estimation for the data using the fixed bandwidth method. See: http://www.datalab.uci.edu/papers/kernel_KDD2014.pdf

参数:

data - - The observed data

h - - The fixed bandwidth

返回:

A "trained" fixed-KDE model

trainAdaptiveKDE

public static KDE trainAdaptiveKDE(List<Event> data,
                                   int K)

Creates a Kernel Density Estimation for the data using the adaptive bandwidth method with the default value of (h0 = 0). See: http://www.datalab.uci.edu/papers/kernel_KDD2014.pdf

参数:

data - - The observed data

K - - K'th nearest neighbor

返回:

A "trained" adaptive-KDE model

trainAdaptiveKDE

public static KDE trainAdaptiveKDE(List<Event> data,
                                   double h0,
                                   int K)

Creates a Kernel Density Estimation for the data using the adaptive bandwidth method. See: http://www.datalab.uci.edu/papers/kernel_KDD2014.pdf

参数:

data - - The observed data

h0 - - h0 value (default 1)

K - - K'th nearest neighbor

返回:

A "trained" adaptive-KDE model

logPdf

public double logPdf(Event e)

Computed the log probability of event e. The computation is done by using the kd tree. See: http://www.datalab.uci.edu/papers/kernel_KDD2014.pdf

参数:

e -

返回:

Log probability for event e

main

public static void main(String... args)
                 throws Exception

抛出:

Exception