HongxiangXu1999 comments

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                                            HongxiangXu1999

Variable importance by "mlr3filters" does not work in "mlr3proba" after preprocessing data with "mlr3pipelines"

Have the problem fixed? I still get the same problem.

$importance() for graphlearner

I don't know whether you have fixed it, as I still face the same problem. Any suggestion?

SVM-RFE

> For example, recursive feature elimination? But how can I implement this method for SVM?

CDR3 length with paired(?) data

I wonder if the bug was fixed? As I still met the same odd figure.... ![image](https://user-images.githubusercontent.com/44562411/236626003-6b1572a8-c7ae-43c7-a4d5-176f88812835.png)

SVM-RFE

> RFE works now on an SVM https://mlr-org.com/gallery/optimization/2023-02-07-recursive-feature-elimination/#support-vector-machine. Cool! Thanks very much!