org.joone.helpers.structure

Class NeuralNetFactory

java.lang.Object

org.joone.helpers.structure.NeuralNetFactory

public class NeuralNetFactory
extends java.lang.Object

This utility class creates a new neural network according to some parameters

Field Summary

Fields

Modifier and Type	Field and Description
static int	APPROXIMIMATION
static int	CLASSIFICATION
static int	CLUSTERING
static int	ONEOFC_CLASSIF
static int	PREDICTION

Constructor Summary

Constructors

Constructor and Description
NeuralNetFactory() Creates a new instance of NeuralNetFactory

Method Summary

Modifier and Type	Method and Description
java.lang.String	getDesiredCols()
java.lang.String	getDesiredFileName()
java.lang.String	getInputCols()
java.lang.String	getInputFileName()
int	getMapHeight()
int	getMapWidth()
NeuralNet	getNeuralNetwork()
int	getPredictionLength()
int	getTaps()
int	getType()
boolean	isSkipFirstDesiredRow()
boolean	isSkipFirstInputRow()
void	setDesiredCols(java.lang.String desiredCols)
void	setDesiredFileName(java.lang.String desiredFileName)
void	setInputCols(java.lang.String inputCols)
void	setInputFileName(java.lang.String inputFileName)
void	setMapHeight(int mapHeight)
void	setMapWidth(int mapWidth)
void	setPredictionLength(int predictLength)
void	setSkipFirstDesiredRow(boolean skipFirstDesiredRow)
void	setSkipFirstInputRow(boolean skipFirstInputRow)
void	setTaps(int taps)
void	setType(int type)

Methods inherited from class java.lang.Object

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

Field Detail

CLASSIFICATION

public static final int CLASSIFICATION

See Also:

Constant Field Values

ONEOFC_CLASSIF

public static final int ONEOFC_CLASSIF

See Also:

Constant Field Values

APPROXIMIMATION

public static final int APPROXIMIMATION

See Also:

Constant Field Values

PREDICTION

public static final int PREDICTION

See Also:

Constant Field Values

CLUSTERING

public static final int CLUSTERING

See Also:

Constant Field Values

Constructor Detail

NeuralNetFactory

public NeuralNetFactory()

Creates a new instance of NeuralNetFactory

Method Detail

getNeuralNetwork

public NeuralNet getNeuralNetwork()

getType

public int getType()

setType

public void setType(int type)

getInputFileName

public java.lang.String getInputFileName()

setInputFileName

public void setInputFileName(java.lang.String inputFileName)

getInputCols

public java.lang.String getInputCols()

setInputCols

public void setInputCols(java.lang.String inputCols)

isSkipFirstInputRow

public boolean isSkipFirstInputRow()

setSkipFirstInputRow

public void setSkipFirstInputRow(boolean skipFirstInputRow)

getDesiredFileName

public java.lang.String getDesiredFileName()

setDesiredFileName

public void setDesiredFileName(java.lang.String desiredFileName)

getDesiredCols

public java.lang.String getDesiredCols()

setDesiredCols

public void setDesiredCols(java.lang.String desiredCols)

isSkipFirstDesiredRow

public boolean isSkipFirstDesiredRow()

setSkipFirstDesiredRow

public void setSkipFirstDesiredRow(boolean skipFirstDesiredRow)

getTaps

public int getTaps()

setTaps

public void setTaps(int taps)

getPredictionLength

public int getPredictionLength()

setPredictionLength

public void setPredictionLength(int predictLength)

getMapWidth

public int getMapWidth()

setMapWidth

public void setMapWidth(int mapWidth)

getMapHeight

public int getMapHeight()

setMapHeight

public void setMapHeight(int mapHeight)