public class SGPGenerator extends PrototypeGenerator
Modifier and Type | Field and Description |
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protected int |
numberOfClass |
protected int |
Rmin |
protected int |
Rmis |
algorithmName, generatedDataSet, SEED, seedDefaultValueList, trainingDataSet
Constructor and Description |
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SGPGenerator(PrototypeSet _trainingDataSet,
int method,
int Rmin,
int Rmis)
Build a new SGPGenerator Algorithm
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SGPGenerator(PrototypeSet t,
Parameters parameters)
Build a new SGPGenerator 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 |
reduceSet()
Makes the trivial reduction.
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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 Rmin
protected int Rmis
protected int numberOfClass
public SGPGenerator(PrototypeSet _trainingDataSet, int method, int Rmin, int Rmis)
public SGPGenerator(PrototypeSet t, Parameters parameters)
t
- Original prototype set to be reduced.parameters
- Parameters of the algorithm (only % of reduced set).public PrototypeSet reduceSet()
PrototypeGenerator
reduceSet
in class PrototypeGenerator
public static void main(java.lang.String[] args)
args
- Arguments of the main function.