/** Delivers the fitness of the best individual as performance vector. */
public PerformanceVector getOptimizationPerformance() {
double[] bestValuesEver = getBestValuesEver();
double[] finalFitness = optimizationFunction.getFitness(bestValuesEver, ys, kernel);
PerformanceVector result = new PerformanceVector();
if (finalFitness.length == 1) {
result.addCriterion(
new EstimatedPerformance("svm_objective_function", finalFitness[0], 1, false));
} else {
result.addCriterion(new EstimatedPerformance("alpha_sum", finalFitness[0], 1, false));
result.addCriterion(
new EstimatedPerformance("svm_objective_function", finalFitness[1], 1, false));
if (finalFitness.length == 3)
result.addCriterion(new EstimatedPerformance("alpha_label_sum", finalFitness[2], 1, false));
}
return result;
}
@Override
public PerformanceVector evaluateIndividual(Individual individual) {
double[] fitness = optimizationFunction.getFitness(individual.getValues(), ys, kernel);
PerformanceVector performanceVector = new PerformanceVector();
if (fitness.length == 1) {
performanceVector.addCriterion(new EstimatedPerformance("SVM_fitness", fitness[0], 1, false));
} else {
performanceVector.addCriterion(new EstimatedPerformance("alpha_sum", fitness[0], 1, false));
performanceVector.addCriterion(
new EstimatedPerformance("svm_objective_function", fitness[1], 1, false));
if (fitness.length == 3)
performanceVector.addCriterion(
new EstimatedPerformance("alpha_label_sum", fitness[2], 1, false));
}
return performanceVector;
}
