Jump to navigation Jump to search
BoTorch is a library for Bayesian Optimization built on PyTorch. BoTorch provides a modular and easily extensible interface for composing Bayesian Optimization primitives, including probabilistic models, acquisition functions, and optimizers.
module spider botorch to find out what environment modules are available for this application.
- HPC_BOTORCH_DIR - installation directory
If you publish research that uses botorch you have to cite it as follows:
M. Balandat, B. Karrer, D. R. Jiang, S. Daulton, B. Letham, A. G. Wilson, and E. Bakshy. BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization. Advances in Neural Information Processing Systems 33, 2020.