mlr (version 2.17.0)

getNestedTuneResultsX: Get the tuned hyperparameter settings from a nested tuning.

Description

After you resampled a tuning wrapper (see makeTuneWrapper) with resample(..., extract = getTuneResult) this helper returns a data.frame with the best found hyperparameter settings for each resampling iteration.

Usage

getNestedTuneResultsX(r)

Arguments

r

(ResampleResult) The result of resampling of a tuning wrapper.

Value

(data.frame). One column for each tuned hyperparameter and one row for each outer resampling iteration.

See Also

Other tune: TuneControl, getNestedTuneResultsOptPathDf(), getResamplingIndices(), getTuneResult(), makeModelMultiplexerParamSet(), makeModelMultiplexer(), makeTuneControlCMAES(), makeTuneControlDesign(), makeTuneControlGenSA(), makeTuneControlGrid(), makeTuneControlIrace(), makeTuneControlMBO(), makeTuneControlRandom(), makeTuneWrapper(), tuneParams(), tuneThreshold()

Examples

# NOT RUN {
# see example of makeTuneWrapper
# }

Run the code above in your browser using DataCamp Workspace