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Hands-On Automated Machine Learning by Umit Mert Cakmak, Sibanjan Das

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Hyperparameters

In order to better understand this process, you will start simple with Branin function which has 3 global minima:

The following code snippet shows you the minimization of the Branin function:

import numpy as npdef branin(x):    # Branin function has 2 dimensions and it has 3 global mimima    x1 = x[0]    x2 = x[1]    # Global minimum is f(x*)=0.397887 at points (-pi, 12.275), (pi,2.275) and (9.42478, 2.475)    # Recommended values of a, b, c, r, s and t for Branin function    a = 1    b = 5.1 / (4 * np.pi**2)    c = 5. / np.pi    r = 6.    s = 10.    t = 1 / (8 * np.pi)    # Calculating separate parts of the function first for verbosity p1 = a * (x2 - (b * x1**2) ...

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