Ryan-Rhys / Heteroscedastic-BayesOpt

Heteroscedastic Bayesian Optimisation in BoTorch

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Heteroscedastic-BayesOpt

Heteroscedastic Bayesian Optimisation in BoTorch

Installation

Installation Requirements

  • Python >= 3.7
  • PyTorch >= 1.5
  • gpytorch >= 1.1.1
  • scipy

We recommend using a virtual environment e.g.

conda create -n env het_bayesopt python==3.7

conda activate het_bayesopt

conda install botorch -c pytorch -c gpytorch

pip install ax-platform

conda install matplotlib

About

Heteroscedastic Bayesian Optimisation in BoTorch

License:MIT License


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Language:Python 100.0%