Description Usage Arguments Value
Create surrogate model for different tasks
1 2 3 4 | makeSurrogateModel(measure.name, learner.name, task.ids, lrn.par.set,
tbl.results, tbl.hypPars, tbl.metaFeatures, tbl.runTime, tbl.resultsReference,
surrogate.mlr.lrn, min.experiments = 100, benchmark = FALSE,
time = FALSE)
|
measure.name |
Name of the measure to optimize |
learner.name |
Name of learner |
task.ids |
[ |
lrn.par.set |
learner-parameter set which should include relevant bounds for flow |
tbl.results |
df with getMlrRandomBotResults() |
tbl.hypPars |
df with getMlrRandomBotHyperpars() |
tbl.metaFeatures |
df with getMlrRandomBotHyperpars() |
surrogate.mlr.lrn |
model(s) that should be used as surrogate model |
min.experiments |
minimum number of experiments that should be available for a dataset, otherwise the dataset is excluded |
benchmark |
[ |
surrogate model
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