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MOO with NaN outcomes
See original GitHub issueHi,
I have a multi-objective problem where one of the objectives is only defined when the other one is larger than 0. I’m using the service API and noticed that if I don’t pass the NaN objective in these cases the model does not complain and in exp_to_df they show up as NaN as intended.
I wanted to make sure that this is causing no unexpected behaviour. How are the NaNs handled in the model? Are they ignored?
Thanks for the great work!
Issue Analytics
- State:
- Created 2 years ago
- Comments:8 (5 by maintainers)
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Hmm having NaNs in the data should certainly cause issues if you are using Bayesian optimization because I do not believe we do any filtering of NaNs. Are you using Sobol search? Can you share an example?
Okay, thanks for the explanation!