EmuKit / emukit

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

https://emukit.github.io/emukit/

Apache License 2.0

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Added a new example for doing preferential batch bayesian optimization #285

Closed esiivola closed 4 years ago

esiivola commented 4 years ago

Issue #, if available:

Description of changes: Added an example for performing the experiments in https://arxiv.org/abs/2003.11435

See /emukit/examples/preferential_batch_bayesian_optimization/README.md for details.

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

esiivola commented 4 years ago

Hi! Thanks for the fast reply! Yes, I can make a dependency installation instead, no problem!

esiivola commented 4 years ago

Ok, so we have some code in here which is under MIT license, and some under BSD. My understanding is that if you copy such code, you need to include corresponding licenses, and I doubt we can do that with emukit.

But it is ok to use software under these licenses. Can the implementation be done with dependency installation instead?

Hi! This is done now. I moved the black box functions to a separate git repo and also added a dependency for stan_utility.

codecov-io commented 4 years ago

Codecov Report

Merging #285 into master will not change coverage by %. The diff coverage is n/a.

@@           Coverage Diff           @@
##           master     #285   +/-   ##
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  Coverage   89.78%   89.78%           
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  Files         119      119           
  Lines        3839     3839           
  Branches      429      429           
=======================================
  Hits         3447     3447           
  Misses        311      311           
  Partials       81       81

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