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)