def METHOD_NAME(self, ml_dict: dict):
    """Update the persistence data with the learned values.
    Args:
        ml_dict (Dict of ModelLearnable): updated information to be merged into existing Dict of ModelLearnable
    """
    for model_id in ml_dict.keys():
        if model_id != "meta":
            ml = ml_dict[model_id]
            # update with value of the model learnable
            # note that the original weights that are not learned are still kept!
            learned_weights = ml[ModelLearnableKey.WEIGHTS]
            for k, v in learned_weights.items():
                self.model_set[model_id][k] = v