I'm using the current version in Python 3.7 and I'm trying to experiment with Bayesian Optimization (packaged GPyOpt). I keep getting ValueError: Buffer has wrong number of dimensions (expected 1, got ...

Hyper-parameters are parameters used to regulate how the algorithm behaves while it creates the model. These factors cannot be discovered by routine training. Before the model is trained, it must be ...

This is the code for Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource–constrained Conditions. This project is carried out in Funahashi Lab. at Keio ...