Python scipy.minimize

Question

I have a question about python scipy.minimize, I know if

x0 = np.array([0.5, 0])

then I can set the bound like this

bnds = ((0, None), (0, None))

but if my x0 has 1000 terms, and I want each of them to be in range (0,5), how should I set my bound?

Are you trying to say, each element for NumPy array x0 should lie in the range of 0 to 5 with over 1000 elements? — datamansahil, Oct 11 '20 at 09:10
Not a `machine-learning` question, kindly do not spam irrelevant tags (removed). — desertnaut, Oct 11 '20 at 18:26

score 0 · Answer 1 · answered Oct 11 '20 at 18:33

0

You can pass an instance of scipy.optimize.Bounds:

scipy.optimize.minimize(..., bounds=Bounds(0, 5))

answered Oct 11 '20 at 18:33

a_guest

1 Answers1