Note: I have modified this from DNGO to handle a multiple output neural net.
A pytorch implementation of Deep Networks for Global Optimization proposed in 'Scalable Bayesian Optimization Using Deep Neural Networks'[Snoek 2015]. A one dimensional test case is provided. The Design of Experiment is performed by the python library pyDOE.
The result of the 1D test case is given hereafter:
