public class SAVG extends AVG
algorithmName, generatedDataSet, SEED, seedDefaultValueList, trainingDataSet
Constructor and Description |
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SAVG(PrototypeSet traDataSet,
double ps)
Creates a new SAVG object.
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SAVG(PrototypeSet traDataSet,
Parameters param)
Creates a new SAVG object.
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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 wich will contain the test data set
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PrototypeSet |
reduceSet()
Reduce the set.
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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
public SAVG(PrototypeSet traDataSet, double ps)
traDataSet
- Training data set.ps
- Percent of the initial set selected.public SAVG(PrototypeSet traDataSet, Parameters param)
traDataSet
- Training data set.param
- Parameters of the method.public PrototypeSet reduceSet()
public static void main(java.lang.String[] args)
args
- Arguments of the main function.