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Hello,
I think current plotLearnerPrediction works very well and I am planing to write document for it. Would you please review the function? And some related questions:
1. I didn't understand som…
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https://arxiv.org/pdf/1611.00953.pdf L1 on weights + L2 squared fusion between all groups https://cloud.r-project.org/web/packages/fuser/vignettes/subgroup_fusion.html
https://rdrr.io/cran/genlass…
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### Algorithm
OPLS(-DA)
### Package
ropls
### Supported types
* [ X ] classif
* [ ] #289
* [ ] dens
* [ X ] regr
* [ ] surv
### I have checked that this is not already implemente…
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If I want to compute the importance for a measure based on probabilities (e.g., brier score), the `FeatureImp` is never calculated on the probabilities, even if I manually use a `predict.function`:
…
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IF THE MODEL YOU WOULD LIKE TO SUPPORT IS NOT LISTED BELOW, PLEASE OPEN A NEW ISSUE.
It is often very easy to add support for new models. If you would like to help us do it (thanks!!!), please read…
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Hello!
Thank you again for the R implementation of the mlr3.
I want to po the encode scale to the survival models（deepsurv),but have some trouble. this my codes
```r
library(readxl)
library…
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First, thank you for providing this great dataset!
For the mlr3 project (www.github.com/mlr-org/mlr3) we've been replacing all instances of the problematic `iris` dataset with `penguins`. However o…
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Would you consider exporting `make_rng_seeds()` so that we can use it in mlr3?
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Goal: Compare random forests with a simple multi layer perceptron in a simple benchmark experiment.
1. We need to define the tasks:
Use three simple small tasks from OpenML: https://mlr3book.ml…
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Prepare for release:
* [x] `git pull`
* [x] Check [current CRAN check results](https://cran.rstudio.org/web/checks/check_results_mlr3.html)
* [x] [Polish NEWS](https://style.tidyverse.org/news.html#n…