Gives a default ParConfig for a Learner

For a given Learner this method will return a useful default Parameter Set for Tuning.

getDefaultParConfig(learner)

Arguments

learner	[Learner] An mlr Learner.

Value

[ParConfig]

Examples

learner = makeLearner("classif.randomForest")
par.config = getDefaultParConfig(learner)
print(par.config)
#> Parameter Configuration
#>   Parameter Values: 
#>   Associated Learner: classif.randomForest
#>   Parameter Set:
#>             Type len            Def  Constr Req Tunable Trafo
#> nodesize integer   -              1 1 to 10   -    TRUE     -
#> mtry     integer   - floor(sqrt(p))  1 to p   -    TRUE     -