Scikit Optimize

Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt is reusable in many contexts and accessible.

https://scikit-optimize.github.io/

In [1]:

import numpy as np
from skopt import gp_minimize


def f(x):
    return (
        np.sin(5 * x[0]) * (1 - np.tanh(x[0]**2)) * np.random.randn() * 0.1)


res = gp_minimize(f, [(-2.0, 2.0)])

In [2]:

res

In [3]:

from skopt.plots import plot_convergence

plot_convergence(res)

In [0]: