def ultraopt_gbrt_curl2_cube(objective, n_trials, n_dim, with_count):
# Experimental !
return curl_factory(optimizer=ultraopt_gbrt_cube,
objective=objective,
n_trials=n_trials,
n_dim=n_dim,
with_count=with_count,
d=2)
def dlib_curl2_cube(objective, n_trials, n_dim, with_count):
# Meh
return curl_factory(optimizer=dlib_default_cube,
objective=objective,
n_trials=n_trials,
n_dim=n_dim,
with_count=with_count,
d=2)
def hyperopt_tpe_curl2_cube(objective, n_trials, n_dim, with_count=False):
# Probably not the best idea
return curl_factory(optimizer=hyperopt_tpe_cube,
objective=objective,
n_trials=n_trials,
n_dim=n_dim,
with_count=with_count,
d=2)
def nevergrad_ngopt8_curl3_cube(objective, n_trials, n_dim, with_count=False):
# Doesn't seem to be a good idea in low dimensions, if at all
return curl_factory(optimizer=nevergrad_ngopt8_cube,
objective=objective,
n_trials=n_trials,
n_dim=n_dim,
with_count=with_count,
d=3)
def optuna_cmaes_curl3_cube(objective, n_trials, n_dim, with_count=False):
# Highly experimental
return curl_factory(optimizer=optuna_cmaes_cube,
objective=objective,
n_trials=n_trials,
n_dim=n_dim,
with_count=with_count,
d=3)
def pymoo_unsga3_curl2_cube(objective, n_trials, n_dim, with_count=False):
# Mostly failed experiment
return curl_factory(optimizer=pymoo_unsga3_cube,
objective=objective,
n_trials=n_trials,
n_dim=n_dim,
with_count=with_count,
d=2)