def test_bo(cs, id):
bo = SMAC(cs, train, maximal_iter, num_iter=iter_num, n_workers=n_work)
bo.run()
bo.plot_statistics(method="BO-rnn-%d" % id)
result = bo.get_incumbent(5)
print(result)
return result
def test_vanilla_bo(cs, n_id):
bo = SMAC(cs, train, maximal_iter, num_iter=iter_num, n_workers=1)
method_name = "Vanilla-BO-fcnet-%d" % n_id
bo.set_method_name(method_name)
bo.runtime_limit = runtime_limit
bo.run()
result = bo.get_incumbent(5)
print(result)
return result
def test_vanilla_bo(cs, id):
model = SMAC(cs, train, maximal_iter, num_iter=iter_num, n_workers=1)
model.method_name = "Vanilla-BO-xgb-%d" % id
model.runtime_limit = runtime_limit
model.restart_needed = True
model.run()
result = model.get_incumbent(5)
print(result)
return result
def test_bo(cs, id):
bo = SMAC(cs, train, maximal_iter, num_iter=iter_num, n_workers=n_work)
bo.runtime_limit = runtime_limit
method_name = "BO-fcnet-%d" % id
bo.set_method_name(method_name)
bo.run()
bo.plot_statistics(method="BO-fcnet-%d" % id)
result = bo.get_incumbent(5)
print(result)
return result
def test_bo(cs, id):
method_id = "BO-resnet-%d" % id
bo = SMAC(cs, train, maximal_iter, num_iter=iter_num, n_workers=n_work)
bo.restart_needed = True
bo.runtime_limit = args.b
bo.run()
bo.plot_statistics(method=method_id)
result = bo.get_incumbent(5)
save_result(method_id, result)
print(result)
return result