Tuning spaces for PipeOps #11
Description
It would be useful to have tuning spaces also for at least a few mlr3pipelines PipeOps.
The reason there is, that we could then basically specify an AutoML system by just writing down the graph and then auto-generating the relevant tuning space from the individual pipeops and learners, essentially eliminating the need to write down the tuning space.
Open Questions:
- Should this live here or in mlr3pipelines?
- Does this require a proof of concept that demonstrates that it makes sense?