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License: MIT License
We use a modified neural network instead of Gaussian process for Bayesian optimization.
License: MIT License
I am getting error in line 32 of optimizer.py . Line 32 is
self.__nn_pred = neural_net.e.network(self.__domain)
and the error is (TypeError: 'Regressor' object is not callable
Exception TypeError: TypeError("'NoneType' object is not callable")
There is no function by name 'network' in neural_net.py, so when we call neural_net.e.network, it's throwing up an error.
Hi, is there a license available with this library?
Hello! Really nice work! Could you explain in optimizer.py, when selecting potential candidates, what is self.checkpoint for? I don't see it anywhere in original paper.
Thanks a lot!
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