Comments (1)
We need it for continuous acquisition functions. Currently this functionality is very limited (the assumption is that in experiment you always deal with discretized parameter space) and is outside of the primary package applications - hence, it is an optional dependency.
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Related Issues (20)
- Cost-aware BO HOT 1
- UIGP: Allow for different variance along different input feature dimensions HOT 1
- Add explanation/examples on how to use utils.priors HOT 1
- Option to use regular NN in viDKL HOT 1
- Sparse GP HOT 1
- Minor issue regarding importing sPM model HOT 2
- Move `priors` out of utils HOT 1
- Set noise prior automatically HOT 3
- Custom BNN architectures for a fully Bayesian DKL HOT 1
- Problem with models.sPM? HOT 1
- Use of viMTDKL HOT 5
- import priors might be missing from __init__
- Build references in readme are broken
- Fix bug where I use the master branch instead of main in CI
- Google Colab giving version control error. HOT 9
- Remove requirements.txt? HOT 1
- Suggestion: activate dependabot
- Fix documentation building HOT 5
- Test the new deployment system on the test PyPI server
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