Generates a suitable Parameter Configuration Set for a given Task and a Learner

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: 
#>   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