org.joone.samples.engine.validation

Class MultipleValidationSample

java.lang.Object

org.joone.samples.engine.validation.MultipleValidationSample

All Implemented Interfaces:

java.util.EventListener, NeuralValidationListener

public class MultipleValidationSample
extends java.lang.Object
implements NeuralValidationListener

This example shows how to check the training level of a neural network using a validation data source. The training and the validation phases of the created network is executed many times, showing for each one the resulting RMSE. This program shows how to build the same kind of neural net as that contained into the org/joone/samples/editor/scripting/ValidationSample.ser file using only java code and the core engine's API. Open that net in the GUI editor to see the architecture of the net built in this example.

Constructor Summary

Constructors

Constructor and Description
MultipleValidationSample() Creates a new instance of SampleScript

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args)
void	netValidated(NeuralValidationEvent event)

Methods inherited from class java.lang.Object

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

Constructor Detail

MultipleValidationSample

public MultipleValidationSample()

Creates a new instance of SampleScript

Method Detail

main

public static void main(java.lang.String[] args)

Parameters:

args - the command line arguments

netValidated

public void netValidated(NeuralValidationEvent event)

Specified by:

netValidated in interface NeuralValidationListener