aima.core.learning.neural

Class NNDataSet

java.lang.Object

aima.core.learning.neural.NNDataSet

Direct Known Subclasses:

IrisNNDataSet, RabbitEyeDataSet

public abstract class NNDataSet
extends java.lang.Object

Author:

Ravi Mohan

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.List<java.util.List<java.lang.Double>>	nds
protected java.util.List<java.lang.Integer>	targetColumnNumbers

Constructor Summary

Constructors

Constructor and Description
NNDataSet()

Method Summary

Modifier and Type	Method and Description
void	createExamplesFromDataSet(DataSet ds, Numerizer numerizer)
void	createExamplesFromFile(java.lang.String filename)
void	createNormalizedDataFromDataSet(DataSet ds, Numerizer numerizer)
void	createNormalizedDataFromFile(java.lang.String filename)
NNExample	getExample(int index)
NNExample	getExampleAtRandom()
java.util.List<java.lang.Double>	getMeans()
java.util.List<java.util.List<java.lang.Double>>	getNormalizedData()
java.util.List<java.lang.Double>	getStdevs()
boolean	hasMoreExamples()
int	howManyExamplesLeft()
void	refreshDataset()
abstract void	setTargetColumns()

Methods inherited from class java.lang.Object

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

Field Detail

nds

protected java.util.List<java.util.List<java.lang.Double>> nds

targetColumnNumbers

protected java.util.List<java.lang.Integer> targetColumnNumbers

Constructor Detail

NNDataSet

public NNDataSet()

Method Detail

setTargetColumns

public abstract void setTargetColumns()

createNormalizedDataFromFile

public void createNormalizedDataFromFile(java.lang.String filename)
                                  throws java.lang.Exception

Throws:

java.lang.Exception

createNormalizedDataFromDataSet

public void createNormalizedDataFromDataSet(DataSet ds,
                                            Numerizer numerizer)
                                     throws java.lang.Exception

Throws:

java.lang.Exception

getExampleAtRandom

public NNExample getExampleAtRandom()

getExample

public NNExample getExample(int index)

hasMoreExamples

public boolean hasMoreExamples()

howManyExamplesLeft

public int howManyExamplesLeft()

refreshDataset

public void refreshDataset()

createExamplesFromFile

public void createExamplesFromFile(java.lang.String filename)
                            throws java.lang.Exception

Throws:

java.lang.Exception

createExamplesFromDataSet

public void createExamplesFromDataSet(DataSet ds,
                                      Numerizer numerizer)
                               throws java.lang.Exception

Throws:

java.lang.Exception

getNormalizedData

public java.util.List<java.util.List<java.lang.Double>> getNormalizedData()

getMeans

public java.util.List<java.lang.Double> getMeans()

getStdevs

public java.util.List<java.lang.Double> getStdevs()