org.neuroph.core.data

Class DataSetRow

java.lang.Object

org.neuroph.core.data.DataSetRow

All Implemented Interfaces:

java.io.Serializable

public class DataSetRow
extends java.lang.Object
implements java.io.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.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DataSetRow(java.util.ArrayList<java.lang.Double> input)
DataSetRow(java.util.ArrayList<java.lang.Double> input, java.util.ArrayList<java.lang.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(java.lang.String input, java.lang.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(java.lang.Object obj)
double[]	getDesiredOutput()
double[]	getInput() Returns input vector
java.lang.String	getLabel() Get training element label
int	hashCode()
boolean	isSupervised()
void	setDesiredOutput(double[] desiredOutput)
void	setInput(double[] input) Sets input vector
void	setLabel(java.lang.String label) Set training element label
double[]	toArray()
java.lang.String	toCSV()
java.lang.String	toString()

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

DataSetRow

public DataSetRow(java.lang.String input,
                  java.lang.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(java.util.ArrayList<java.lang.Double> input,
                  java.util.ArrayList<java.lang.Double> desiredOutput)

Creates new training element with specified input and desired output vectors

Parameters:

input - input vector

desiredOutput - desired output vector

DataSetRow

public DataSetRow(java.util.ArrayList<java.lang.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 java.lang.String getLabel()

Get training element label

Returns:

training element label

setLabel

public void setLabel(java.lang.String label)

Set training element label

Parameters:

label - label for this training element

isSupervised

public boolean isSupervised()

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

toArray

public double[] toArray()

toCSV

public java.lang.String toCSV()

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class java.lang.Object