keel.Algorithms.Neural_Networks.NNEP_Common.data

Class DoubleTransposedDataSet

java.lang.Object

keel.Algorithms.Neural_Networks.NNEP_Common.data.DoubleTransposedDataSet

public class DoubleTransposedDataSet
extends java.lang.Object

Set of data of a problem (Transposed).

Since:

JDK1.5

Version:

0.1

Author:

Written by Pedro Antonio Gutierrez Penna, Aaron Ruiz Mora (University of Cordoba) 17/07/2007

Field Summary

Fields

Modifier and Type	Field and Description
protected double[][]	array Array with all data
protected double	maximumDistance Maximum distance between data
protected int	nofinputs Number of inputs
protected int	nofobservations Number of observations (Matrix columns)
protected int	nofoutputs Number of outputs
protected int	nofvariables Number of variables (Matrix rows)
protected double[]	outputMeans Array with the mean of each output

Constructor Summary

Constructors

Constructor and Description
DoubleTransposedDataSet() Empty constructor

Method Summary

Modifier and Type	Method and Description
void	calculateMeans() Obtain the means of all the outputs
void	configure(Configuration settings) Configuration parameters for this data set are: [@file-name] (String) File name.
DoubleTransposedDataSet	copy() Returns a copy of the DataSet
double[][]	getAllInputs() Returns a matrix with all the inputs of the dataSet in rows
double[][]	getAllOutputs() Returns a matrix with all the outputs of the dataSet in rows.
java.lang.String	getFileName() Returns the filename used to read the observations and parameters
double[]	getInputs(int nofobservation) Returns the inputs of an specified observation
double	getMaximumDistance() Returns the maximum distance between train data
double	getMaxValueOf(int index) Returns the maximum value of a specific variable
double	getMinValueOf(int index) Returns the minimum value of a specific variable
int	getNofinputs() Returns the number of inputs of the observations stored in the data set
int	getNofobservations() Returns the number of observations stored in the data set
int	getNofoutputs() Returns the number of outputs of the observations stored in the data set
int	getNofvariables() Returns the number of variables stored in the data set
double[]	getObservation(int nofobservation) Returns an specified observation
double[]	getObservationsOf(int nofvariable) Returns all the values of a variable in the data set
double[]	getOutput(int nofoutput) Returns all the values of an output in the data set
double	getOutputMean(int index) Returns the mean of a specific number of output
double[]	getOutputs(int nofobservation) Returns the outputs of an specified observation
boolean[]	obtainConstantsInputs() Obtain a boolean array with true at these inputs that are constants
void	read() Init the array stored in the DataSet
void	read(byte[] schema, IDataset dataset) Init the DoubleTransposedDataSet using a normal IDataset
void	removeInputs(boolean[] toRemove, int newNofinputs) Remove the inputs desired
void	setFileName(java.lang.String fileName) Sets the filename used to read the observations and parameters
void	setMaximumDistance(double maximumDistance) Sets the maximum distance between train data
void	setNofinputs(int nofinputs) Sets the number of inputs of the observations stored in the data set
void	setNofobservations(int nofobservations) Sets the number of observations stored in the data set
void	setNofoutputs(int nofoutputs) Sets the number of outputs of the observations stored in the data set
void	setNofvariables(int nofvariables) Sets the number of variables stored in the data set
void	setObservation(int nofobservation, double[] observation) Sets an specified observation
void	setObservationsOf(int nofvariable, double[] values) Sets all the values of a variable in the data set
void	setOutput(int nofoutput, double[] values) Sets all the values of an output in the data set
java.lang.String	toString() Returns a string representation of the DataSet

Methods inherited from class java.lang.Object

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

Field Detail

nofobservations

protected int nofobservations

Number of observations (Matrix columns)

nofvariables

protected int nofvariables

Number of variables (Matrix rows)

nofinputs

protected int nofinputs

Number of inputs

nofoutputs

protected int nofoutputs

Number of outputs

array

protected double[][] array

Array with all data

outputMeans

protected double[] outputMeans

Array with the mean of each output

maximumDistance

protected double maximumDistance

Maximum distance between data

Constructor Detail

DoubleTransposedDataSet

public DoubleTransposedDataSet()

Empty constructor

Method Detail

getFileName

public java.lang.String getFileName()

Returns the filename used to read the observations and parameters

Returns:

String Filename

setFileName

public void setFileName(java.lang.String fileName)

Sets the filename used to read the observations and parameters

Parameters:

fileName - Filename

getNofinputs

public int getNofinputs()

Returns the number of inputs of the observations stored in the data set

Returns:

int Number of inputs

setNofinputs

public void setNofinputs(int nofinputs)

Sets the number of inputs of the observations stored in the data set

Parameters:

nofinputs - New number of inputs

getNofobservations

public int getNofobservations()

Returns the number of observations stored in the data set

Returns:

int Number of observations

setNofobservations

public void setNofobservations(int nofobservations)

Sets the number of observations stored in the data set

Parameters:

nofobservations - New number of observations

getNofvariables

public int getNofvariables()

Returns the number of variables stored in the data set

Returns:

int Number of variables

setNofvariables

public void setNofvariables(int nofvariables)

Sets the number of variables stored in the data set

Parameters:

nofvariables - New number of variables

getNofoutputs

public int getNofoutputs()

Returns the number of outputs of the observations stored in the data set

Returns:

int Number of outputs

setNofoutputs

public void setNofoutputs(int nofoutputs)

Sets the number of outputs of the observations stored in the data set

Parameters:

nofoutputs - New number of outputs

getObservation

public double[] getObservation(int nofobservation)

Returns an specified observation

Parameters:

nofobservation - Number of observation to return

Returns:

double [] Array with the specified observation

setObservation

public void setObservation(int nofobservation,
                           double[] observation)

Sets an specified observation

Parameters:

nofobservation - Number of observation

observation - New observation

getOutputs

public double[] getOutputs(int nofobservation)

Returns the outputs of an specified observation

Parameters:

nofobservation - Number of the observation

Returns:

double [] Array with the outputs of the observation

getAllOutputs

public double[][] getAllOutputs()

Returns a matrix with all the outputs of the dataSet in rows.

Returns:

double [][] Matrix with all the outputs of the dataSet

getInputs

public double[] getInputs(int nofobservation)

Returns the inputs of an specified observation

Parameters:

nofobservation - Number of the observation

Returns:

double [] Array with the inputs of the observation

getAllInputs

public double[][] getAllInputs()

Returns a matrix with all the inputs of the dataSet in rows

Returns:

double [][] Matrix with all the inputs of the dataSet

getOutput

public double[] getOutput(int nofoutput)

Returns all the values of an output in the data set

Parameters:

nofoutput - Number of the output

Returns:

double [] Array with all the values of the output

setOutput

public void setOutput(int nofoutput,
                      double[] values)

Sets all the values of an output in the data set

Parameters:

nofoutput - Number of the output

values - Double array with all the values of the output

getObservationsOf

public double[] getObservationsOf(int nofvariable)

Returns all the values of a variable in the data set

Parameters:

nofvariable - Number of the variable

Returns:

double [] Array with all the values of the variable

setObservationsOf

public void setObservationsOf(int nofvariable,
                              double[] values)

Sets all the values of a variable in the data set

Parameters:

nofvariable - Number of the variable

values - Double array with all the values of the variable

getOutputMean

public double getOutputMean(int index)

Returns the mean of a specific number of output

Parameters:

index - Number of output mean to return

Returns:

double Output mean

getMaxValueOf

public double getMaxValueOf(int index)

Returns the maximum value of a specific variable

Parameters:

index - Number of variable maximum value to return

Returns:

double Maximum value

getMinValueOf

public double getMinValueOf(int index)

Returns the minimum value of a specific variable

Parameters:

index - Number of variable minimum value to return

Returns:

double Minimum value

getMaximumDistance

public double getMaximumDistance()

Returns the maximum distance between train data

Returns:

double Maximum distance

setMaximumDistance

public void setMaximumDistance(double maximumDistance)

Sets the maximum distance between train data

Parameters:

maximumDistance - New maximum distance

read

public void read(byte[] schema,
                 IDataset dataset)
          throws DatasetException

Init the DoubleTransposedDataSet using a normal IDataset

Parameters:

schema - Schema of the dataset

dataset - Dataset to read data of

Throws:

DatasetException

read

public void read()
          throws java.io.IOException,
                 java.lang.NumberFormatException

Init the array stored in the DataSet

Throws:

IOException, - NumberFormatException

java.io.IOException

java.lang.NumberFormatException

calculateMeans

public void calculateMeans()

Obtain the means of all the outputs

toString

public java.lang.String toString()

Returns a string representation of the DataSet

Overrides:

toString in class java.lang.Object

Returns:

String Representation of the DataSet

copy

public DoubleTransposedDataSet copy()

Returns a copy of the DataSet

Returns:

DataSet Copy of the DataSet

obtainConstantsInputs

public boolean[] obtainConstantsInputs()

Obtain a boolean array with true at these inputs that are constants

Returns:

boolean [] Constant inputs

removeInputs

public void removeInputs(boolean[] toRemove,
                         int newNofinputs)

Remove the inputs desired

Parameters:

toRemove - Array of Boolean indicating constant inputs with true

newNofinputs - New number of inputs of the dataset

configure

public void configure(Configuration settings)

Configuration parameters for this data set are:

• [@file-name] (String) File name. Name of the file that stores the neccesary information for this data set.

Parameters:

settings - Configuration object from which the properties are going to be read