[Newbie ] How to use recommend

[lesshaste]

Thank you for writing humpday, it looks amazing. I tried out the following:

from math import cos, pi
def rastrigin(a, b):
    A = 10
    n = 2
    value = -(A*n + sum([(x**2 - A*cos(2*pi*x)) for x in (a,b)]))
    return value

from humpday import recommend
def my_objective(u):
    return rastrigin(u[0], u[1])
recommendations = recommend(my_objective, n_dim=2, n_trials=1000)

recommendations now gives me [(None, None, 'scipy_powell_cube')]

However using lipo, for example, which I think is included with !pip install humpday[full] the function can be efficiently optimized.

What am I doing wrong?

[microprediction]

Try

pip install humpday[full]

or manually pip install lots of optimizers. It's probably only got scipy to use right now.

Let me know how it goes I'll fix it if broken.