`f0` Passed Has More Than 1 Dimension. - Fmin_l_bfgs_b

I want to find parameters which minimalize a function but I get an error. So far use scipy.optimize.fmin but I want to add bounds for every argument. This is my code def Kou_calib

Solution 1:

Maybe it's due to the dimension of the return matrix of your Kou_error_function function, sample add .ravel() or .flatten() to the end of function return. Like:

def Kou_error_function(x,obs,arg):
    err = x*arg-obs
    return y.ravel()

Solution 2:

Works with scipy version 1.4.1

pip install --upgrade scipy==1.4.1