Comments (4)
jakobbossek
commented on May 28, 2024
Can you explain this more in-depth? Sure, it makes no sense to evaluate a point multiple times if the fun is deterministic since it will result in the same outcome. Should we simply check, if the point is already in the optimization path or do I misunderstand the problem?
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berndbischl
commented on May 28, 2024
No, you understand it correctly. But I am unsure how to handle this correctly. Let us first discuss it before we do anything.
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berndbischl
commented on May 28, 2024
We do have filterProposedPoints / tol. But that only works for numerical params.
Actually that issue appeared when we only had a bunch of categorical params, for a deterministic test function.
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jakobbossek
commented on May 28, 2024
Actually that issue appeared when we only had a bunch of categorical params, for a deterministic > test function.
For this we could simply check whether the porposed point already exists in the design.
Or maybe better: use a metric for mixed spaces.
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Related Issues (20)
- negative se values in opt.path might confuse users HOT 1
- invalid class “km” object: the number of experiments must be larger than the spatial dimension HOT 2
- invalid class “km” object: the number of experiments must be larger than the spatial dimension HOT 7
- pkgdown-site points to slack HOT 1
- human in the loop mbo fails if final.evals is != 0
- Undocumented ranges for settings
- Error in if (err < tol) break : missing value where TRUE/FALSE needed for 'classif.gausspr' HOT 6
- The 'configureMlr' can not work with the parallel computing HOT 4
- qLCB not implemented perfectly
- The solution to the died training-No return HOT 1
- Test failure on R-devel HOT 3
- MOIMBO with interleave.random.points causes error HOT 1
- Unable to install mlrMBO using install.packages dependencies=T. I am on IOS and using R v 1.4, someone else? HOT 4
- optimizing "multiple objective" functions with "constraints" HOT 3
- Error: unused arguments (forbidden = expression(x2 > x1)) HOT 1
- Final Answer from mlrMBO outside of the specified variable ranges (multi objective function) HOT 2
- Error: Error in as.data.frame.OptPathDF(opt.path, include.rest = FALSE) : No elements where selected (via 'dob' and 'eol')! HOT 8
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- Possible lack of consistency in xgboost hyperparameters optimization?
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