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 calltrafoOptPath(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.