org.neuroph.contrib.bpbench

Class TrainingStatistics

java.lang.Object

org.neuroph.contrib.bpbench.TrainingStatistics

public class TrainingStatistics
extends java.lang.Object

Class that defines statistics for training`s

Constructor Summary

Constructors

Constructor and Description
TrainingStatistics() Create instance of training statistic

Method Summary

Modifier and Type	Method and Description
void	addData(TrainingResult result) Method that adds new training result to statistic and set minimum and maximum iterations and total error
void	calculateParameters() Method for calculating mean and standard deviation
double	getMaxError() Return maximum error for this training
int	getMaxIterations() Return maximum iterations
double	getMeanError() Return mean error for this training
double	getMeanIterations() Return mean of iterations for this training
double	getMinError() Return minimum error for this training
int	getMinIterations() Return minimum iterations
double	getStdError() Return standard deviation for this training
double	getStdIterations() Return standard deviation of iterations for this training
java.util.List<TrainingResult>	getTrainingResults() Return list of all training results
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

TrainingStatistics

public TrainingStatistics()

Create instance of training statistic

Method Detail

addData

public void addData(TrainingResult result)

Method that adds new training result to statistic and set minimum and maximum iterations and total error

Parameters:

result -

calculateParameters

public void calculateParameters()

Method for calculating mean and standard deviation

getMinIterations

public int getMinIterations()

Return minimum iterations

Returns:

getMaxIterations

public int getMaxIterations()

Return maximum iterations

Returns:

getTrainingResults

public java.util.List<TrainingResult> getTrainingResults()

Return list of all training results

Returns:

getMeanIterations

public double getMeanIterations()

Return mean of iterations for this training

Returns:

mean iterations

getStdIterations

public double getStdIterations()

Return standard deviation of iterations for this training

Returns:

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

getMinError

public double getMinError()

Return minimum error for this training

Returns:

minimum error

getMaxError

public double getMaxError()

Return maximum error for this training

Returns:

maximum error

getMeanError

public double getMeanError()

Return mean error for this training

Returns:

mean error

getStdError

public double getStdError()

Return standard deviation for this training

Returns:

standard deviation