org.neuroph.adapters.weka

Class WekaNeurophClassifier

java.lang.Object

AbstractClassifier

org.neuroph.adapters.weka.WekaNeurophClassifier

public class WekaNeurophClassifier
extends AbstractClassifier

Weka classifier wrapper for Neuroph neural networks Classifier based on Neuroph which can be used inside weka

Constructor Summary

Constructors

Constructor and Description
WekaNeurophClassifier(NeuralNetwork neuralNet) Creates instance of NeurophWekaClassifier using specified neural network

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(Instances data) Builds classifier using specified data set (trains neural network using that data set)
double	classifyInstance(Instance instance) Classifies instance as one of possible classes
double[]	distributionForInstance(Instance instance) Calculates predict values for every possible class that instance can be classified as that
NeuralNetwork	getNeuralNetwork()

Methods inherited from class java.lang.Object

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

Constructor Detail

WekaNeurophClassifier

public WekaNeurophClassifier(NeuralNetwork neuralNet)

Creates instance of NeurophWekaClassifier using specified neural network

Parameters:

neuralNet - NeuralNetwork

Method Detail

buildClassifier

public void buildClassifier(Instances data)
                     throws java.lang.Exception

Builds classifier using specified data set (trains neural network using that data set)

Parameters:

data - Instance weka data set

Throws:

java.lang.Exception

classifyInstance

public double classifyInstance(Instance instance)
                        throws java.lang.Exception

Classifies instance as one of possible classes

Parameters:

instance - Instance to classify

Returns:

double classes double value

Throws:

java.lang.Exception

distributionForInstance

public double[] distributionForInstance(Instance instance)
                                 throws java.lang.Exception

Calculates predict values for every possible class that instance can be classified as that

Parameters:

instance - Instance to calculate values for

Returns:

double[] array of predict values

Throws:

java.lang.Exception

getNeuralNetwork

public NeuralNetwork getNeuralNetwork()