res.fun[0] not subscriptable

[yusramoni]

Hello,

I'm trying to follow the github readme for testing out the interactive optimization feature of the GPro package.

Everything as it is mentioned in the front page:

from GPro.kernels import Matern
from GPro.posterior import Laplace
from GPro.acquisitions import UCB
from GPro.optimization import ProbitBayesianOptimization
import numpy as np

3D example. Initialization.

X = np.random.sample(size=(2, 3)) * 10
M = np.array([0, 1]).reshape(-1, 2)

GP_params = {'kernel': Matern(length_scale=1, nu=2.5),
'post_approx': Laplace(s_eval=1e-5, max_iter=1000,
eta=0.01, tol=1e-3),
'acquisition': UCB(kappa=2.576),
'alpha': 1e-5,
'random_state': None}

gpr_opt = ProbitBayesianOptimization(X, M, GP_params)

bounds = {'x0': (0, 10), 'x1': (0, 10), 'x2': (0, 10)}

console_opt = gpr_opt.interactive_optimization(bounds=bounds, n_init=100, n_solve=1)
optimal_values, suggestion, X_post, M_post, f_post = console_opt
print('optimal values: ', optimal_values)

console_opt = gpr_opt.interactive_optimization(bounds=bounds, n_init=100, n_solve=1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/GPro/optimization.py", line 118, in interactive_optimization
x_optim = self.bayesopt(bounds, method, n_init, n_solve)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/GPro/preference.py", line 358, in bayesopt
if max_acq is None or -res.fun[0] >= max_acq:
~~~~~~~^^^
TypeError: 'float' object is not subscriptable

Is there something wrong in the example?

[burcia1711]

Hello, I have the same problem. Seems like the res.fun returned by scipy.optimize.minimize is a float representing the minimum value of the function being optimised, not an array, so we cannot index it with [0]. I don't know how it compiled in the first place.

Hope to solve this soon!