mlr3 now supports the "internal_tuning" property, which can be implemented for learners that internally tune some hyperparameter. CV glmnet has this property, as it is able to tune the lambda.
However, to implement this property it must also be possible to set the internally tuneable parameter (lambda) to a specific value so that we can use it with an AutoTuner (lambda = to_tune(internal = TRUE)).
We would therefore have to add this parameter tocv.glmnet.
mlr3now supports the"internal_tuning"property, which can be implemented for learners that internally tune some hyperparameter. CV glmnet has this property, as it is able to tune the lambda.However, to implement this property it must also be possible to set the internally tuneable parameter (
lambda) to a specific value so that we can use it with anAutoTuner(lambda = to_tune(internal = TRUE)). We would therefore have to add this parameter tocv.glmnet.