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This repository has been archived by the owner on Feb 23, 2023. It is now read-only.
I often see that optimization terminates earlier than max_iter.
I set the option of 'de_duplication' to "False" and eps to zero (or a negative value), so I do not think the consecutive occurrence of the same values of x is the reason.
I would appreciate it if someone could tell me what is causing this problem and how to solve it.
The text was updated successfully, but these errors were encountered:
Reading the code, there're two conditions can lead to the end of optimization procedure:
one of them are self._distance_last_evaluations() <= self.eps(what you mentioned)
and another is np.linalg.linalg.LinAlgError. In my opinion, the error occurs due to "matrix is irreversible", $k^{-1}$ is a computational part of GP(gaussian process, surrogate model of BO).
I think maybe your program terminates for the second reason, if so, you should check your problem setup or kernel design.
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I often see that optimization terminates earlier than max_iter.
I set the option of 'de_duplication' to "False" and eps to zero (or a negative value), so I do not think the consecutive occurrence of the same values of x is the reason.
I would appreciate it if someone could tell me what is causing this problem and how to solve it.
The text was updated successfully, but these errors were encountered: