keel.Algorithms.Neural_Networks.gann

Class Data

java.lang.Object

keel.Algorithms.Neural_Networks.gann.Data

public class Data
extends java.lang.Object

This is a class that takes the data from a file and puts it in adequate data stuctures for its processing

Since:

JDK1.5

Version:

0.1

Author:

Written by Nicolas Garcia Pedrajas (University of Cordoba) 27/02/2007

Field Summary

Fields

Modifier and Type	Field and Description
double[][]	test Testing data
double[][]	train Training data
double[][]	validation Validation data

Constructor Summary

Constructors

Constructor and Description
Data(int n_variables, int n_train, int n_test, int n_val) Constructor
Data(SetupParameters global) Constructor that takes only the setup parameters (NOT USED)

Method Summary

Modifier and Type	Method and Description
void	ScaleOutputData(Parameters global, double lbound, double ubound) Scale output data
void	TipifyInputData(SetupParameters global) Tipify all data inputs

Methods inherited from class java.lang.Object

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

Field Detail

train

public double[][] train

Training data

validation

public double[][] validation

Validation data

test

public double[][] test

Testing data

Constructor Detail

Data

public Data(int n_variables,
            int n_train,
            int n_test,
            int n_val)

Constructor

Parameters:

n_variables - No of variables

n_train - No of train variables

n_test - No of test variables

n_val - No of validation variables

Data

public Data(SetupParameters global)
     throws java.io.FileNotFoundException,
            java.io.IOException

Constructor that takes only the setup parameters (NOT USED)

Parameters:

global - Global Definition parameters

Throws:

java.io.FileNotFoundException

java.io.IOException

Method Detail

TipifyInputData

public void TipifyInputData(SetupParameters global)

Tipify all data inputs

Parameters:

global - Global Definition parameters

ScaleOutputData

public void ScaleOutputData(Parameters global,
                            double lbound,
                            double ubound)

Scale output data

Parameters:

global - Global definition parameters

lbound - Lower bound

ubound - Upper bound