R: Result of multi-criteria tuning.

TuneMultiCritResult {mlr} | R Documentation

## Result of multi-criteria tuning.

### Description

Container for results of hyperparameter tuning. Contains the obtained pareto set and front and the optimization path which lead there.

Object members:

learner (Learner)

  Learner that was optimized.

control (TuneControl)

  Control object from tuning.

x (list)

  List of lists of non-dominated hyperparameter settings in pareto set. Note that when you have trafos on some of your params, `x` will always be on the TRANSFORMED scale so you directly use it.

y (matrix)

  Pareto front for `x`.

threshold

  Currently `NULL`.

opt.path (ParamHelpers::OptPath)

  Optimization path which lead to `x`. Note that when you have trafos on some of your params, the opt.path always contains the UNTRANSFORMED values on the original scale. You can simply call `trafoOptPath(opt.path)` to transform them, or, `as.data.frame{trafoOptPath(opt.path)}`

ind (`integer(n)`)

  Indices of Pareto optimal params in `opt.path`.

measures [(list of) [Measure])

  Performance measures.

[(list of) [Measure]: R:(list

[Package mlr version 2.12.1 Index]