org.neuroph.core.data

Class DataSetRow

java.lang.Object

org.neuroph.core.data.DataSetRow

All Implemented Interfaces:

Serializable

public class DataSetRow
extends Object
implements Serializable

This class represents single data row in a data set. It has input and desired output for supervised learning rules. It can also be used only with input for unsupervised learning rules.

Author:

Zoran Sevarac

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected double[]	input Input vector for this training element
protected String	label Label for this training element

Constructor Summary

Constructors

Constructor and Description
DataSetRow(ArrayList<Double> input)
DataSetRow(ArrayList<Double> input, ArrayList<Double> desiredOutput) Creates new training element with specified input and desired output vectors
DataSetRow(double... input) Creates new training element with input array
DataSetRow(double[] input, double[] desiredOutput) Creates new training element with specified input and desired output vectors
DataSetRow(String input, String desiredOutput) Creates new training element with specified input and desired output vectors specifed as strings

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
double[]	getDesiredOutput()
double[]	getInput() Returns input vector
String	getLabel() Get training element label
int	hashCode()
boolean	isSupervised()
void	setDesiredOutput(double[] desiredOutput)
void	setInput(double[] input) Sets input vector
void	setLabel(String label) Set training element label
double[]	toArray()
String	toCSV()
String	toString()

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Detail

input

protected double[] input

Input vector for this training element

label

protected String label

Label for this training element

Constructor Detail

DataSetRow

public DataSetRow(String input,
                  String desiredOutput)

Creates new training element with specified input and desired output vectors specifed as strings

Parameters:

input - input vector as space separated string

desiredOutput - desired output vector as space separated string

DataSetRow

public DataSetRow(double[] input,
                  double[] desiredOutput)

Creates new training element with specified input and desired output vectors

Parameters:

input - input array

desiredOutput - desired output array

DataSetRow

public DataSetRow(double... input)

Creates new training element with input array

Parameters:

input - input array

DataSetRow

public DataSetRow(ArrayList<Double> input,
                  ArrayList<Double> desiredOutput)

Creates new training element with specified input and desired output vectors

Parameters:

input - input vector

desiredOutput - desired output vector

DataSetRow

public DataSetRow(ArrayList<Double> input)

Method Detail

getInput

public double[] getInput()

Returns input vector

Returns:

input vector

setInput

public void setInput(double[] input)

Sets input vector

Parameters:

input - input vector

getDesiredOutput

public double[] getDesiredOutput()

setDesiredOutput

public void setDesiredOutput(double[] desiredOutput)

getLabel

public String getLabel()

Get training element label

Returns:

training element label

setLabel

public void setLabel(String label)

Set training element label

Parameters:

label - label for this training element

isSupervised

public boolean isSupervised()

toString

public String toString()

Overrides:

toString in class Object

toArray

public double[] toArray()

toCSV

public String toCSV()

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object