Pierre Ablin on X: "Have a ML model you want to optimize? Too lazy to compute gradients? Autoptim is for you ! A blend of 🔥@PyTorch's autodiff and 🐍scipy's optimize library. With
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import numpy as np 9 import matplotlib.pyplot import scipy.optimize as spom 10 11 12 def Fun (V): 13 Equ = - brainly.com
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SOLVED: from scipy.optimize import fmin import numpy as np from scipy.stats import norm mu = 10000 sigma = np.round(norm.rvs(loc=mu, scale=sigma, size=M)) def likelihood(x, mu, sigma): # Likelihood of one sample # YOUR
