def _run_mle_fits(state=None, states_only=False): _cache_global_datasets() if state: model_fitter.run_state(state, states_only=states_only) else: for state_name in ALL_STATES: _run_mle_fits(state=state_name, states_only=states_only)
def _run_mle_fits(states: List[str], states_only=False): for state in states: model_fitter.run_state(state, states_only=states_only)