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

In Najah-lshanableh/R-data-mining2: Machine Learning in R

Description

After you resampled a tuning wrapper (see makeTuneWrapper) with resample(..., extract = getTuneResult) this helper returns a data.frame with the 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, getTuneResult, makeModelMultiplexerParamSet, makeModelMultiplexer, makeTuneControlCMAES, makeTuneControlDesign, makeTuneControlGenSA, makeTuneControlGrid, makeTuneControlIrace, makeTuneControlMBO, makeTuneControlRandom, makeTuneWrapper, tuneParams, tuneThreshold

Examples

# see example of makeTuneWrapper

Najah-lshanableh/R-data-mining2 documentation built on May 6, 2019, 10:11 a.m.