-
https://github.com/mlr-org/mlr3/pull/1065
-
Hello there,
I want to run a number of machine learning algorithms with different feature selection methods on survival data using the MLR3 package. For that, I am using the Benchmark() function of…
-
Maybe a misunderstanding from my side, but shouldn't I get a warning in the code below, as the regr.debug learner does not have the `"selected_features"` property?
``` r
library(mlr3)
rr = resa…
-
### Description
In `surv.aorsf`, when the `leaf_min_events` parameter is tuned, then allowed values depend on the number of events in the respective task (or subset of the task used for training). Th…
-
While code was working before, now I get an error when loading learner regr.lm
> learner_lm = lrn("regr.lm")
Error in sort(assert_subset(properties, mlr_reflections$learner_properties[[task_type]]))…
-
We might wanna be able to access validation split performance
-
Hi,
Pipe operator `mlr3pipelines::PipeOpTextVectorizer` is painfully slow in comparison with `quanteda::dfm()`:
````
library(mlr3)
library(mlr3learners)
library(mlr3pipelines)
library(quante…
-
Hi there,
thanks for the great work! Is there a coarse timeline for starting the development of multilabel classification in mlr3?
-
It is not possible to build a stacked learner using mlr3 pipelines where the feature union uses a different task type than the final prediction. The following example is following the mlr3 book and st…
-