def distance(self, features, targets): cost_matrix = np.zeros((len(targets), len(features))) key_list = list(self.samples.keys()) for i, target_k in enumerate(targets): target = key_list[i] cost_matrix[i, :] = self._metric(self.samples[target], features) return cost_matrix