andreassot10

I have a question about the process in the Git Branching Model , because I feel that what I am trying to do does not fit into any of the...

mlr3pipelines::PipeOpTextVectorizer is very slow

15

Hi, Pipe operator `mlr3pipelines::PipeOpTextVectorizer` is painfully slow in comparison with `quanteda::dfm()`: ```` library(mlr3) library(mlr3learners) library(mlr3pipelines) library(quanteda) library(quanteda.textmodels) library(dplyr) library(microbenchmark) # Movie corpus data in 'corpus' format corp_movies

Before making this request, make sure that 1. The learner is not maintained in a third party repository (listed in the [Table of all additional Learners](https://mlr3learners.mlr-org.com/dev/articles/learners/additional-learners.html)), and 2. There is...

Tuning SMOTE's K with a trafo fails: 'warning("k should be less than sample size!")'

6

Hello, I'm having trouble with the trafo function for`SMOTE {smotefamily}`'s `K` parameter. In particular, when the number of nearest neighbours `K` is greater than or equal to the sample size,...