org.neuroph.contrib.autotrain

Class TrainingStatistics

java.lang.Object

org.neuroph.contrib.autotrain.TrainingStatistics

public class TrainingStatistics
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
TrainingStatistics()
TrainingStatistics(double min, double max, double mean, double std)

Method Summary

Modifier and Type	Method and Description
static TrainingStatistics	calculateIterations(java.util.List<TrainingResult> list) Based on list of TrainingResults this method calculate minimum iterations, maximum iterations, mean and standard deviation of list.
static TrainingStatistics	calculateMSE(java.util.List<TrainingResult> list) Based on list of TrainingResults this method calculate minimum MSE, maximum MSE, mean and standard deviation of list.
static TrainingStatistics	calculateStatistic(double[] array)
double	getMax()
double	getMean()
double	getMin()
double	getStd()
void	setMax(double max)
void	setMean(double mean)
void	setMin(double min)
void	setStd(double std)
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

TrainingStatistics

public TrainingStatistics(double min,
                          double max,
                          double mean,
                          double std)

Parameters:

min -

max -

mean -

std -

TrainingStatistics

public TrainingStatistics()

Method Detail

getMin

public double getMin()

setMin

public void setMin(double min)

getMax

public double getMax()

setMax

public void setMax(double max)

getMean

public double getMean()

setMean

public void setMean(double mean)

getStd

public double getStd()

setStd

public void setStd(double std)

calculateIterations

public static TrainingStatistics calculateIterations(java.util.List<TrainingResult> list)

Based on list of TrainingResults this method calculate minimum iterations, maximum iterations, mean and standard deviation of list.

Parameters:

list -

Returns:

calculateMSE

public static TrainingStatistics calculateMSE(java.util.List<TrainingResult> list)

Based on list of TrainingResults this method calculate minimum MSE, maximum MSE, mean and standard deviation of list.

Parameters:

list -

Returns:

calculateStatistic

public static TrainingStatistics calculateStatistic(double[] array)

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object