keel.Algorithms.Instance_Generation.OBDE

Class OBDEGenerator

java.lang.Object

keel.Algorithms.Instance_Generation.Basic.PrototypeGenerator

keel.Algorithms.Instance_Generation.OBDE.OBDEGenerator

public class OBDEGenerator
extends PrototypeGenerator

OBDEGenerator.

Version:

1.0

Author:

Isaac Triguero

Field Summary

Fields

Modifier and Type	Field and Description
protected int	numberOfPrototypes

Fields inherited from class keel.Algorithms.Instance_Generation.Basic.PrototypeGenerator

algorithmName, generatedDataSet, SEED, seedDefaultValueList, trainingDataSet

Constructor Summary

Constructors

Constructor and Description
OBDEGenerator(PrototypeSet _trainingDataSet, int neigbors, int poblacion, int perc, int iteraciones, double F, double CR, double JR, int strg) Build a new OBDEGenerator Algorithm
OBDEGenerator(PrototypeSet t, Parameters parameters) Build a new OBDEGenerator Algorithm

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args) General main for all the prototoype generators Arguments: 0: Filename with the training data set to be condensed. 1: Filename which contains the test data set. 3: Seed of the random number generator.
int[]	mejoresParticulas(PrototypeSet[] population)
PrototypeSet	mutant(PrototypeSet[] population, int actual, int mejor)
PrototypeSet	reduceSet() Generate a reduced prototype set by the DEGenerator method.

Methods inherited from class keel.Algorithms.Instance_Generation.Basic.PrototypeGenerator

absoluteAccuracy, absoluteAccuracyAndError, absoluteAccuracyKNN, accuracy, accuracy2, desordenar_vector_sin, desordenar_vector, execute, generateReducedDataSet, getResultingAccuracy, getResultingAccuracy, getResults, getResultsOfAccuracy, getResultsOfAccuracy, getSeed, getSetSizeFromPercentage, getSetSizeFromPercentage, getTime, inic_vector_sin, inic_vector, saveResultsOfAccuracyIn, saveResultsOfAccuracyIn, selecRandomSet, setSeed, showResultsOfAccuracy, showResultsOfAccuracy

Methods inherited from class java.lang.Object

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

Field Detail

numberOfPrototypes

protected int numberOfPrototypes

Constructor Detail

OBDEGenerator

public OBDEGenerator(PrototypeSet _trainingDataSet,
                     int neigbors,
                     int poblacion,
                     int perc,
                     int iteraciones,
                     double F,
                     double CR,
                     double JR,
                     int strg)

Build a new OBDEGenerator Algorithm

OBDEGenerator

public OBDEGenerator(PrototypeSet t,
                     Parameters parameters)

Build a new OBDEGenerator Algorithm

Parameters:

t - Original prototype set to be reduced.

parameters - Parameters of the algorithm (only % of reduced set).

Method Detail

mutant

public PrototypeSet mutant(PrototypeSet[] population,
                           int actual,
                           int mejor)

mejoresParticulas

public int[] mejoresParticulas(PrototypeSet[] population)

reduceSet

public PrototypeSet reduceSet()

Generate a reduced prototype set by the DEGenerator method.

Overrides:

reduceSet in class PrototypeGenerator

Returns:

Reduced set by DEGenerator's method.

main

public static void main(java.lang.String[] args)

General main for all the prototoype generators Arguments: 0: Filename with the training data set to be condensed. 1: Filename which contains the test data set. 3: Seed of the random number generator. Always. ************************** 4: .Number of neighbors 5: Swarm Size 6: Particle Size 7: Max Iter 8: C1 9: c2 10: vmax 11: wstart 12: wend

Parameters:

args - Arguments of the main function.