The codes are written based on this repository.
In this codebase, we are trying to reproduce the results of TST-R and RGPE using the TAF acquisition function in Practical transfer learning for Bayesian optimization
.
You can find the information for RGPE in the paper and find the information that for TST-R in the paper Two-stage transfer surrogate model for automatic hyperparameter optimization
.
$ conda install swig
$ pip install -r requirements.txt