makeBaselineObjective | R Documentation |
"Baseline" performance measure: Creates an objective function that performs
normal parameter optimization by evaluating filters with additional parameters:
mosmafs.nselect
(how many features to select),
mosmafs.iselect
(vector integer parameter that selects explicit features
that are not necessary the best according to filter values)
and mosmafs.select.weights
(numeric parameter vector that does
weighting between filter values to use.
makeBaselineObjective( learner, task, filters, ps, resampling, measure = NULL, num.explicit.featsel = 0, holdout.data = NULL, worst.measure = NULL, cpo = NULLCPO, numfeats = getTaskNFeats(task) )
learner |
|
task |
|
filters |
|
ps |
|
resampling |
|
measure |
|
num.explicit.featsel |
|
holdout.data |
|
worst.measure |
|
cpo |
|
numfeats |
|
function
that can be used for mlrMBO; irace possibly needs some
adjustments.
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