John Zobolas

Hi! This is kind-of a reopener of this old [mlr issue](https://github.com/mlr-org/mlr/issues/843). Searched a bit if it is mentioned elsewhere, didn't find anything, so I decided to post here. The use...

Small `pca` doc mistake

4

[Default value](https://mlr3pipelines.mlr-org.com/reference/mlr_pipeops_pca.html#parameters) for pca `center` parameter is `TRUE`, not `FALSE`: ``` r library(mlr3verse) #> Loading required package: mlr3 pca = po('pca') pca$param_set #> #> id class lower upper nlevels default...

Feature request: Support for code folding buttons

16

Hi, I recently searched for an option to have buttons that hide the R code output since it was not supported via a simple option in `bookdown::gitbook`. Using [this stackoverflow...

Problems with Survival SVMs [discussion]

2

Hi, I made some effort to train and tune survival SVMs in a small dataset. Using a simple autotune example, I found out that the SVM survival learner **can either...

time-dependent ROC AUC issues

8

Hi! I know that time-dependent ROC AUC is maybe a touchy subject and I have seen that you want to implement your own versions but I still found some probable...

`stat_compare_means` + change `p.label` format

5

Hi! I want to change the p-value labels to be like this: `p = 0.0004` - so pretty much add the `p = ` in front of the values. I...

Change main predict type of CoxBoost [Suggestion]

3

CoxBoost has as [main predict type](https://github.com/mlr-org/mlr3extralearners/blob/main/R/learner_CoxBoost_surv_coxboost.R#L57) a `distr` (I guess its the first element in that list). Looking at the paper and the code of the `CoxBoost` R package I...

https://mlr3pipelines.mlr-org.com/reference/po.html !

`PipeOpEncode` doesn't work for features of type `character()`

2

The [doc](https://mlr3pipelines.mlr-org.com/reference/mlr_pipeops_encode.html) says that is should encode `character()` columns, but: ``` r library(mlr3) library(mlr3pipelines) data = data.table::data.table(x = letters[1:3], y = factor(letters[1:3])) task = as_task_classif(data, id = "task", target =...

``` r library(mlr3proba) #> Loading required package: mlr3 task = tsk('lung') trgs = task$data(cols = task$target_names) trgs #> time status #> 1: 306 TRUE #> 2: 455 TRUE #> 3:...