本文整理匯總了Python中hyperas.optim.minimize方法的典型用法代碼示例。如果您正苦於以下問題：Python optim.minimize方法的具體用法？Python optim.minimize怎麽用？Python optim.minimize使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類hyperas.optim的用法示例。
在下文中一共展示了optim.minimize方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_advanced_callbacks
# 需要導入模塊: from hyperas import optim [as 別名]
# 或者: from hyperas.optim import minimize [as 別名]
def test_advanced_callbacks():
X_train, Y_train, X_test, Y_test = data()
best_run, best_model = optim.minimize(model=create_model,
data=data,
algo=tpe.suggest,
max_evals=1,
trials=Trials(),
verbose=False) 示例2: test_functional_api
# 需要導入模塊: from hyperas import optim [as 別名]
# 或者: from hyperas.optim import minimize [as 別名]
def test_functional_api():
X_train, Y_train, X_test, Y_test = data()
best_run, best_model = optim.minimize(model=model,
data=data,
algo=tpe.suggest,
max_evals=1,
trials=Trials(),
verbose=False)
best_run, best_model = optim.minimize(model=model_multi_line_arguments,
data=data,
algo=tpe.suggest,
max_evals=1,
trials=Trials(),
verbose=False) 示例3: test_simple
# 需要導入模塊: from hyperas import optim [as 別名]
# 或者: from hyperas.optim import minimize [as 別名]
def test_simple():
X_train, Y_train, X_test, Y_test = data()
trials = Trials()
best_run, best_model = optim.minimize(model=model,
data=data,
algo=tpe.suggest,
max_evals=1,
trials=trials,
verbose=False)