human
I am working on the file "0.7/notebooks/auto_examples/store-and-load-results.ipynb".
The first task is:
Simple example
We will use the same optimization problem as in the
sphx_glr_auto_examples_bayesian-optimization.py notebook:
Can you write Python code for it?
assistant
#Here is the Python code you requested.

from skopt import gp_minimize
noise_level = 0.1

if IS_RUN_WITH_SPHINX_GALLERY:
    # When this example is run with sphinx gallery, it breaks the pickling
    # capacity for multiprocessing backend so we have to modify the way we
    # define our functions. This has nothing to do with the example.
    from utils import obj_fun
else:
    def obj_fun(x, noise_level=noise_level):
        return np.sin(5 * x[0]) * (1 - np.tanh(x[0] ** 2)) + np.random.randn() * noise_level

res = gp_minimize(obj_fun,            # the function to minimize
                  [(-2.0, 2.0)],      # the bounds on each dimension of x
                  x0=[0.],            # the starting point
                  acq_func="LCB",     # the acquisition function (optional)
                  n_calls=15,         # the number of evaluations of f including at x0
                  n_random_starts=0,  # the number of random initialization points
                  random_state=777)