def test_bohb(cs, id):
bohb = BOHB(cs, train, maximal_iter, num_iter=iter_num, p=0.2, n_workers=n_work)
bohb.method_name = "BOHB-fcnet-%d" % id
bohb.runtime_limit = runtime_limit
bohb.run()
bohb.plot_statistics(method="BOHB-fcnet-%d" % id)
print(bohb.get_incumbent(5))
return bohb.get_incumbent(5)
def test_bohb(cs, id):
method_id = "BOHB-resnet-%d" % id
bohb = BOHB(cs, train, maximal_iter, num_iter=iter_num, p=0.2, n_workers=n_work)
bohb.restart_needed = True
bohb.runtime_limit = args.b
bohb.run()
bohb.plot_statistics(method=method_id)
result = bohb.get_incumbent(5)
save_result(method_id, result)
return result
def test_bohb(cs, id):
model = BOHB(cs,
train,
maximal_iter,
num_iter=iter_num,
p=0.2,
n_workers=n_work)
model.method_name = "BOHB-xgb-%d" % id
model.runtime_limit = runtime_limit
model.restart_needed = True
model.run()
result = model.get_incumbent(5)
print(model.incumbent_configs)
print(result)
return result