"""Learner experiment. Fill planned_configs and RATIONALE before running.
python -m exercises.capstone -> train/validation selection only
python -m exercises.capstone --final -> require matching saved selection, test once
"""
from dlcourse.core import Config
RATIONALE = '' # Explain candidate budget, metric and IID split assumption.
def planned_configs():
raise NotImplementedError('Return a modest list of Config objects, including a linear baseline.')
if __name__=='__main__':
from dlcourse.capstone_runner import main
main(planned_configs, RATIONALE)
