f497ac84d909cffd80d0d6b9c9166b65633c3711,libact/query_strategies/query_by_committee.py,QueryByCommittee,_labeled_uniform_sample,#QueryByCommittee#Any#,159

Before Change

        samples = [labeled_entries[
            self.random_state_.randint(0, len(labeled_entries))
        ]for _ in range(sample_size)]
        return Dataset(*zip(*samples))

    def teach_students(self):
        
        Train each model (student) with the labeled data using bootstrap

After Change

        X, y = self.dataset.get_labeled_entries()
        samples_idx = [
            self.random_state_.randint(0, X.shape[0]) for _ in range(sample_size)]
        return Dataset( X[samples_idx], np.array(y)[samples_idx] )
        // return self.dataset.labeled_uniform_sample(sample_size, replace=True)

    def teach_students(self):

Instances