44bdf9be3b913a1a0e90115e45edbee192d01b90,deslib/des/probabilistic.py,Probabilistic,estimate_competence,#Probabilistic#,113

Before Change

            // Check if the dynamic frienemy pruning (DFP) should be used used
            if self.DFP_mask[clf_index]:
                temp_competence = np.multiply(self.C_src[:, clf_index], potential_dists)
                competences[clf_index] = np.sum(temp_competence)/sum_potential

        return competences

After Change

        sum_potential = np.sum(potential_dists, axis=1)

        competences = np.einsum("ijk,ij->ik", self.C_src[np.newaxis, :, :], potential_dists)
        competences = competences/sum_potential.reshape(-1, 1)

        // competences = np.zeros(self.n_classifiers)
        // for clf_index in range(self.n_classifiers):
        //     // Check if the dynamic frienemy pruning (DFP) should be used used

Instances