Comments (5)
Started to work on this.
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Returning list of plots (as usual). Each plot contains of multiple facets: one facet for each level of the discrete or logical parameter.
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I have added example ex_mixed.R
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Do we have a unit test for the plot? If not, add.
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I want to discuss the plot and will keep this open til then.
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ad 1) Good.
ad 2) I am going to add a test soon.
ad 3) You said there are some things you dislike concerning the plots. Tell me more.
There are some things I am unsure about how to solve them in the best way:
- should display y and yhat in the same plot?
- standard error is missing as it exists in the 1d numeric case
- should we avoid using facets and display all functions in one plot using different line types? For example all infill crit curves in one plot? This might become very confusing if the number of factor levels of the discrete parameter is 3 or greater.
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Done. True objective function and model are now displayed within the same ggplot. Standard error ribbons are drawn as well, if standard error estimation is supported by learner and argument densregion
is true.
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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
- 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
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