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E

ELBG - Class in ristretto.jmltools.clustering

Implements the ELBG algorithm [1]

ELBG() - Constructor for class ristretto.jmltools.clustering.ELBG

Constructs a default ELBG clusterer with 4 clusters, a stop criterion of 1e-4, a default random generator and using the Euclidean distance.

ELBG(int) - Constructor for class ristretto.jmltools.clustering.ELBG

Constructs a default ELBG clusterer with the specified number of clusters, a stop criterion of 1e-4, a default random generator and using the Euclidean distance.

ELBG(int, double) - Constructor for class ristretto.jmltools.clustering.ELBG

Create a new ELBG clusterer with the given number of clusters and stop criterion.

ELBG(int, double, DistanceMeasure) - Constructor for class ristretto.jmltools.clustering.ELBG

Create a new ELBG clusterer with the given number of clusters, stop criterion and distance measure.

ELBG(int, DistanceMeasure) - Constructor for class ristretto.jmltools.clustering.ELBG

Create a new ELBG clusterer with the given number of clusters and distance measure.

elbgBlock() - Method in class ristretto.jmltools.clustering.ELBG

Tries to migrate all the prototypes with an utility lower than one.

equals(Object) - Method in class ristretto.problem.fs.subset.FSSubsetIndividual

Return true if this individual equals the other

equivalentTo(Fitness) - Method in class ristretto.ecjtools.LexicographicFitness

Return true if I'm equivalent in fitness (neither better nor worse) to other fitness.

errorRate(Map<Object, PerformanceMeasure>) - Static method in class ristretto.jmltools.classification.evaluation.PerformanceIndexes

This method obtains the error rate after a classifier has been evaluated

errorRate(Classifier, Dataset) - Static method in class ristretto.jmltools.classification.evaluation.PerformanceIndexes

This method obtains the error rate for a classifier and a given dataset

evaluate(EvolutionState, Individual[], boolean[], boolean, int[], int) - Method in class ristretto.problem.fs.subset.supervised.FSSubsetSupervisedCoevolutionaryProblem

Evaluates the individual (in not already evaluated)

evaluate(EvolutionState, Individual[], boolean[], boolean, int[], int) - Method in class tests.testCoevolution.CoevolutionaryMaxOnes

Evaluates the individual (in not already evaluated)

evaluate(EvolutionState, Individual, int, int) - Method in class ristretto.problem.fs.subset.supervised.FSSubsetSupervisedProblem

Evaluate the individual (if not already evaluated)

evaluate(EvolutionState, Individual, int, int) - Method in class ristretto.problem.fs.subset.unsupervised.FSSubsetUnsupervisedProblem

Evaluate the individual (if not already evaluated)

evaluate(EvolutionState, Individual, int, int) - Method in class ristretto.problem.test.zdt.Zdt4

Evaluate the individual (if not already evaluated)

evaluate(EvolutionState, Individual, int, int) - Method in class tests.testLibSVM.TestLibSVM

Evaluate the individual (if not already evaluated)

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