ValueError: Objective function returned values of different data types

[zhuyingqin]

ValueError: Objective function returned values of different data types

[zhuyingqin]

Thank you very much for solving my problem

[kuffmode]

It's because of this line:
if len(complements) == len(network.W):
return 0
We have a check on return types so this one should be 0.0 instead of 0

[ShreyDixit]

Hey @zhuyingqin
I hope @kuffmode 's reply solved the issue for you. Here is the code that you should now use with the change suggested by @kuffmode

def lesion_esn_behavior(complements, network, training_data, ground_truth):
    """
    This function lesions nodes and tracks their contributions to the output signal. This is for the classic MSA part.
    """
    if len(complements) == len(network.W):
        return 0.0 # every node in the network is lesioned so toss a zero to your MSA oh valley of plenty.

    lesioned_network = deepcopy(network)
    for target in complements: # same as above
        lesioned_network.W[target] = 0.00001
        lesioned_network.W_fb[target] = 0.00001
        lesioned_network.W_in[target] = 0.00001

    lesioned_network.fit(X=None, y=training_data)
    y_pred = lesioned_network.predict() # contrary to the previous function, here we want the output signal.

    return float(np.linalg.norm(y_pred,2))

Feel free to reply if you have any further doubts. If there's no activity for a week, we will close this issue ourselves.