Comments (6)
test:
1 tests from mbo works with different learners is failing. This test is failing as long as i can think - it should be the issue #21. 2 tests from infill crits fail stochasticly.
check:
there are some notes and warnings, could we look at them together?
examples:
check tells me there are no examples
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Fixed all the remaining warnings.
from mlrmbo.
Then close if ok
from mlrmbo.
Well or are there other todos in this thread?
from mlrmbo.
Beside the differentLearners test which Daniel already mentioned everything works fine.
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thats my todo.
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Related Issues (20)
- 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
- Error: Setting of final.method and final.evals for multi-objective optimization not supported at the moment.
- Possible lack of consistency in xgboost hyperparameters optimization?
- error with AEI again
- Multi-task hyperparameter tuning using bayesian optimization
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