def update_iteration(self):
iteration_config = self.get_iteration_config()<EOL>if not iteration_config:<EOL><INDENT>return<EOL><DEDENT>experiments_metrics = self.experiment_group.get_experiments_metrics(<EOL>experiment_ids=iteration_config.experiment_ids,<EOL>metric=self.get_metric_name()<EOL>)<EOL>experiments_configs = self.experiment_group.get_experiments_declarations(<EOL>experiment_ids=iteration_config.experiment_ids<EOL>)<EOL>iteration_config.experiments_configs = list(experiments_configs)<EOL>iteration_config.experiments_metrics = [m for m in experiments_metrics if m[<NUM_LIT:1>] is not None]<EOL>self._update_config(iteration_config)<EOL>
Update the last experiment group's iteration with experiment performance.