org.neuroph.eval

Class CrossValidationBak

java.lang.Object

org.neuroph.eval.CrossValidationBak

public class CrossValidationBak
extends Object

This class implements multithreaded cross validation procedure. Splits data set into k subsets (folds), trains the network with data from k-1 and tests with one subset Repeats the procedure k times each time using different subset for testing.

Author:

Boris Fulurija, Lukic Sasa Multithreading, Zoran Sevarac

Constructor Summary

Constructors

Constructor and Description
CrossValidationBak(NeuralNetwork neuralNetwork, DataSet dataSet, int foldCount) Creates a new instance of crrossvalidation for specified neural network, data set and number of folds.

Method Summary

Modifier and Type	Method and Description
void	addEvaluator(Evaluator eval)
Evaluation	getEvaluation()
<T extends Evaluator> T	getEvaluator(Class<T> type)
Sampling	getSampling()
void	run()
void	setSampling(Sampling sampling)

Methods inherited from class java.lang.Object

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

Constructor Detail

CrossValidationBak

public CrossValidationBak(NeuralNetwork neuralNetwork,
                          DataSet dataSet,
                          int foldCount)

Creates a new instance of crrossvalidation for specified neural network, data set and number of folds.

Parameters:

neuralNetwork -

dataSet -

foldCount - number of folds to use

Method Detail

getSampling

public Sampling getSampling()

setSampling

public void setSampling(Sampling sampling)

getEvaluation

public Evaluation getEvaluation()

run

public void run()
         throws InterruptedException,
                ExecutionException

Throws:

InterruptedException

ExecutionException

addEvaluator

public void addEvaluator(Evaluator eval)

getEvaluator

public <T extends Evaluator> T getEvaluator(Class<T> type)