Description Usage Arguments Value
Create random hyperpars for a flow and predict the measure and time for a given task.
1 2 | makeMeasureTimePrediction(measure.name, learner.name, task.id, lrn.par.set, n,
tbl.results, tbl.hypPars, tbl.metaFeatures)
|
measure.name |
Name of the measure to optimize |
learner.name |
Name of learner |
task.id |
ID of the task |
lrn.par.set |
learner-parameter set which should include relevant bounds for flow |
n |
Number of points to create |
tbl.results |
df with getMlrRandomBotResults() |
tbl.hypPars |
df with getMlrRandomBotHyperpars() |
tbl.metaFeatures |
df with getMlrRandomBotHyperpars() |
[data.frame
] df with hyperpars of flow and matching predictions for measure value and time
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