BayesianOptimization(f = None, domain = domain, X = X_step, Y = Y_step), X being different array size of Y?

[cs071372]

Hi,
I have a problem in which my X array being the input is a 10x2 array while the Y array is a 1x2. That means that all the X array should be evaluated in order to give the Y output of the model. All 10 rows must be considered as input, and not individually one input per row.
i.e.
X=[10x2] -> Y= [1x2]

Is there any way I could deal with that?

Thanks a lot in advance

[ekalosak]

X=X.T and Y=Y.T
Also consider using the emukit project instead because GPyOpt has EOL'd.