public class DEGLGenerator extends PrototypeGenerator
Modifier and Type | Field and Description |
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protected int |
numberOfClass
Number of classes considered
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protected int |
numberOfPrototypes
Number of prototypes considered
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algorithmName, generatedDataSet, SEED, seedDefaultValueList, trainingDataSet
Constructor and Description |
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DEGLGenerator(PrototypeSet _trainingDataSet,
int neigbors,
int poblacion,
int perc,
int iteraciones,
double F,
double CR,
int strg)
Build a new DEGLGenerator Algorithm
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DEGLGenerator(PrototypeSet t,
Parameters parameters)
Build a new DEGLGenerator Algorithm
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Modifier and Type | Method and Description |
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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.
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PrototypeSet |
mutant(PrototypeSet[] population,
int actual,
int bestFitnessIndex,
int bestNeighboor)
Mutation operator.
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PrototypeSet |
reduceSet()
Generate a reduced prototype set by the DEGLGenerator method.
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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
protected int numberOfPrototypes
protected int numberOfClass
public DEGLGenerator(PrototypeSet _trainingDataSet, int neigbors, int poblacion, int perc, int iteraciones, double F, double CR, int strg)
_trainingDataSet
- training dataset to build the model.neigbors
- Number of neighbors to considerpoblacion
- population size.F
- Scaling factoriteraciones
- maximum number of iterations.perc
- particle size.CR
- cross rate.strg
- strategy of the algorithm (from 1 to 5)public DEGLGenerator(PrototypeSet t, Parameters parameters)
t
- Original prototype set to be reduced.parameters
- Parameters of the algorithm (only % of reduced set).public PrototypeSet mutant(PrototypeSet[] population, int actual, int bestFitnessIndex, int bestNeighboor)
population
- set of populations.actual
- actual population.bestFitnessIndex
- best fitness index.bestNeighboor
- best neighbour index.public PrototypeSet reduceSet()
reduceSet
in class PrototypeGenerator
public static void main(java.lang.String[] args)
args
- Arguments of the main function.