This function tries to find a good Parameter Configuration for the given learner.

generateParConfig(learner, task = NULL)

Arguments

learner

[Learner] Learner

task

[Task] The Task

Value

[ParConfig]

Note

The output of this function might change over time with coming updates. Not recommended for reproducible research unless you save the output.

Examples

par.config = generateParConfig("classif.svm") print(par.config)
#> Parameter Configuration #> Parameter Values: list() #> Associated Learner: classif.svm #> Parameter Set: #> Type len Def Constr Req Tunable Trafo #> cost numeric - 0 -15 to 15 - TRUE Y #> gamma numeric - log2(1/p) -15 to 15 - TRUE Y