Franz Király

So I´m slightly confused - if this is a pipeop, doesn´t this automatically do reduction? I.e., it changes the scitype from being a distr output survival learner to being a...

>>So I´m slightly confused - if this is a pipeop, doesn´t this automatically do reduction? >No it does composition in the same way as Ah, so you still train it...

@fkiraly, @aintoha, did we discuss or resolve the dispatch in the measure? I don´t think there should be dispath in the measure, just method calls.

Let's just use the analytic version which uses integrated cdf and various 2-norms, and produce a warning (heuristic approximate, potentially unreliable) if these are not available. In any case, I...

PS: I assume we are all talking about *integrated* Brier score aka rank probability score here.

One thing to think about: the transformer makes sense in isolation, but when applied to the *target* of a survival model, it's a reduction wrapper. The question here is: should...

Short question, since I'm not fully understanding what this design is doing: how would this be applied as the "adaptor" piece? I.e., what are arguments of constructor, what is the...

what I mean: just in theory, leaving `mlr3pipelines` aside. What is input, what is output, to the wrapper/compositor? From your first post, it looks like input = classifier, output =...

>This is a semantic issue that we often disagree over. Which way reduction goes? "from" the problem you solve "to" the problem you solve it by. I still remember my...

I think we need to be very careful about the types, and whether we are operating on tasks or learners. Numbers 1 and 2 seem to change the task -...