skopt_init_values.py

from skopt import gp_minimize, forest_minimize, dummy_minimize, gbrt_minimize
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels import Matern

from skopt.benchmarks import branin

x0 = [[1, 2], [3, 4], [5, 6]]
y0 = map(branin, x0)

res = gp_minimize(branin,
                  [(-5.0, 10.0), (0.0, 15.0)],
                  maxiter=100,
                  x0=x0,
                  y0=y0,
                  random_state=1)
print(res.x)