addMlrLearner: Add resampling of an 'mlr' learner as an algorithm.
In tudo-r/BatchExperimentsMlr: BatchExperimentsMlr

One resampling iteration is one job. The resulting object is a list with the following items

pred [Prediction]: Prediction for resampling iteration.
measures [numeric]: Named vector of performance measures, measures are taken from problem definition.
opt.result [OptResult]: Result of tuning if done, otherwise NULL.

1	addMlrLearner(reg, learner)

`reg`	[`ExperimentRegistryMlr`] Registry.
`learner`	[`Learner`] Learner.

The id of the learner is used as id for the algorithm, but “classif.” or “regr.” is removed.

[character(1)]. Invisibly returns the id.

tudo-r/BatchExperimentsMlr documentation built on June 1, 2019, 2:52 a.m.

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