a8eabdad14eee8a47257248fa271700fcce939cb,autokeras/search.py,BayesianSearcher,search,#BayesianSearcher#Any#Any#Any#Any#,159

Before Change

            new_model, father_id = self.maximize_acq(model_ids)

            history_item = self.add_model(new_model, x_train, y_train, x_test, y_test)
            self.search_tree.add_child(father_id, history_item["model_id"])
            self.gpr.incremental_fit(Graph(new_model).extract_descriptor(), history_item["accuracy"])
            pickle_to_file(self, os.path.join(self.path, "searcher"))
            del new_model
            backend.clear_session()

After Change

            pickle_to_file(self, os.path.join(self.path, "searcher"))
            return

        if self.init_search_queue:
            graph = self.init_search_queue.pop()
            model = graph.produce_model()
            history_item = self.add_model(model, x_train, y_train, x_test, y_test, constant.SEARCH_MAX_ITER)
            self.init_gpr_x.append(graph.extract_descriptor())
            self.init_gpr_y.append(history_item["accuracy"])
            pickle_to_file(self, os.path.join(self.path, "searcher"))
            return

        if not self.init_search_queue and not self.gpr.first_fitted:
            self.gpr.first_fit(self.init_gpr_x, self.init_gpr_y)

        new_model, father_id = self.maximize_acq()

        history_item = self.add_model(new_model, x_train, y_train, x_test, y_test, constant.SEARCH_MAX_ITER)
        self.search_tree.add_child(father_id, history_item["model_id"])
        self.gpr.incremental_fit(Graph(new_model).extract_descriptor(), history_item["accuracy"])
        pickle_to_file(self, os.path.join(self.path, "searcher"))

    def maximize_acq(self):

Instances