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): bohb = BOHB(cs, train, maximal_iter, num_iter=iter_num, p=0.2, n_workers=n_work) bohb.run() bohb.plot_statistics(method="BOHB-rnn-%d" % id) print(bohb.get_incumbent(5)) return bohb.get_incumbent(5)
def test_bohb(cs, n_id): bohb = BOHB(cs, train, maximal_iter, num_iter=iter_num, p=0.2, n_workers=n_work) bohb.run() bohb.plot_statistics(method="BOHB-cnn-%d" % n_id) result = bohb.get_incumbent(5) print(result) return result
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