本文整理汇总了Python中scipy.optimize.OptimizeResult.log_time方法的典型用法代码示例。如果您正苦于以下问题：Python OptimizeResult.log_time方法的具体用法？Python OptimizeResult.log_time怎么用？Python OptimizeResult.log_time使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类scipy.optimize.OptimizeResult的用法示例。
在下文中一共展示了OptimizeResult.log_time方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: create_result
# 需要导入模块: from scipy.optimize import OptimizeResult [as 别名]
# 或者: from scipy.optimize.OptimizeResult import log_time [as 别名]
def create_result(Xi, yi, space=None, rng=None, specs=None, models=None):
"""
Initialize an `OptimizeResult` object.
Parameters
----------
* `Xi` [list of lists, shape=(n_iters, n_features)]:
Location of the minimum at every iteration.
* `yi` [array-like, shape=(n_iters,)]:
Minimum value obtained at every iteration.
* `space` [Space instance, optional]:
Search space.
* `rng` [RandomState instance, optional]:
State of the random state.
* `specs` [dict, optional]:
Call specifications.
* `models` [list, optional]:
List of fit surrogate models.
Returns
-------
* `res` [`OptimizeResult`, scipy object]:
OptimizeResult instance with the required information.
"""
res = OptimizeResult()
yi = np.asarray(yi)
if np.ndim(yi) == 2:
res.log_time = np.ravel(yi[:, 1])
yi = np.ravel(yi[:, 0])
best = np.argmin(yi)
res.x = Xi[best]
res.fun = yi[best]
res.func_vals = yi
res.x_iters = Xi
res.models = models
res.space = space
res.random_state = rng
res.specs = specs
return res