325fae8fbbc16b3c1ca40559bb2a9c783efaf440,libact/query_strategies/active_learning_by_learning.py,ActiveLearningByLearning,calc_query,#ActiveLearningByLearning#,129

Before Change

            // might be no more unlabeled data left
            return

        while self.budget_used < self.T:
            q = self.exp4p_.next(
                self.calc_reward_fn(),
                self.queried_hist_[-1],
                self.dataset.data[self.queried_hist_[-1]][1]
            )
            ask_idx = np.random.choice(
                        np.arange(
                            len(self.unlabeled_invert_id_idx)), size=1, p=q
                    )[0]
            ask_id = self.unlabeled_entry_ids[ask_idx]
            self.W.append(1./q[ask_idx])
            self.queried_hist_.append(ask_id)

            if ask_id in unlabeled_entry_ids:
                self.budget_used += 1
                return

    def update(self, entry_id, label):
        Calculate the next query after updating the question asked with an
        answer.
        self.calc_query()

After Change

            self.queried_hist_[-1],
            self.dataset.data[self.queried_hist_[-1]][1]
        )
        return

    def update(self, entry_id, label):
        Calculate the next query after updating the question asked with an
        answer.

Instances