parameters.py

# report every 1 minute, this is way too often, but we are testing here
optimizer.set_report_period(1)
# start the optimization process
# this function returns immediately
optimizer.start()
# set the time limit for the optimization process (2 hours)
optimizer.set_time_limit(in_minutes=120.0)
# wait until process is done (notice we are controlling the optimization process in the background)
optimizer.wait()
# optimization is completed, print the top performing experiments id
top_exp = optimizer.get_top_experiments(top_k=3)
print([t.id for t in top_exp])
# make sure background optimization stopped
optimizer.stop()