873a906cb76f0c6988d6547078103b67b73a7262,deslib/des/des_knn.py,DESKNN,estimate_competence,#DESKNN#Any#Any#,101

Before Change

                    The diversity estimated for each base classifier
        
        _, idx_neighbors = self._get_region_competence(query)
        idx_neighbors = idx_neighbors.reshape(1, -1)
        hit_result = self.processed_dsel[idx_neighbors, :]
        predicted_matrix = self.BKS_dsel[idx_neighbors, :]
        // calculate the classifiers mean accuracy for all samples
        competences = np.mean(hit_result, axis=1)
        // competences = np.zeros(self.n_classifiers)
        // predicted_matrix = np.zeros((self.k, self.n_classifiers))
        // for clf_index in range(self.n_classifiers):
        //     hit_result = self.processed_dsel[idx_neighbors, clf_index]

After Change

                    diversity[sample_idx, clf_index] += this_diversity
                    diversity[sample_idx, clf_index2] += this_diversity

        competences = {"accuracy" : accuracy, "diversity" : diversity}

        return competences

    def select(self, competences):

Instances