4abda80dd12518e6bfdc44d067566a3e6947e906,deslib/dcs/a_priori.py,APriori,estimate_competence,#APriori#,91

Before Change

        dists, idx_neighbors = self._get_region_competence(query)
        dists_normalized = 1.0/dists

        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
            if self.DFP_mask[clf_index]:

After Change

        scores_target_class *= np.expand_dims(dists_normalized, axis=2)

        // Sum the scores obtained for each neighbor and divide by the sum of all distances
        competences = np.sum(scores_target_class, axis=1)/ np.sum(dists_normalized, axis=1)

        // competences = np.zeros(self.n_classifiers)
        // for clf_index in range(self.n_classifiers):
        //

Instances