mb706
mb706
Suppose a `ParamSet` contains parameters that have a trafo, and one wants to add a new parameter that also has a trafo. Old `ParamHelpers` could do this incrementally, by doing...
During an insightful conversation with Franz, Raphael and Jakob we were coming to the issue that our `$trafo` is missing the information about its *image*, i.e. the parameter set that...
The following problem occurs quite often in pipelines: A PipeOp encapsulates some process (a filter to use for feature filtering, resampling and a learner to use for LearnerCV), which itself...
Sometimes it would be useful to specify how parameters are changed inside a `Learner` / `PipeOp`, e.g. as in mlr-org/mlr3pipelines#24. A typical example is the `mtry` parameter of a random...
```r t1 cp classif.ce batch_nr warnings errors #> 1: 0 0.02 1 0 0 #> 2: 1 0.68 2 0 0 tune(t2, tsk("iris"), lrn("classif.rpart", cp = to_tune()), rsmp("holdout"))$archive #> with...
I am not sure this is possible with reasonable effort, because the tuner does not know what parameters are being set by it. Maybe using something like what I propose...
It should be possible to perform efficient optimization of predict phase parameters, maybe even simultaneously with (ordinary) train time parameters so that predict phase parameters are optimized in an inner...
Dev 0.5
The plan: * Test the finished CPOs so far * some CPO improvements * cosmetic code changes