Can a force parameter be added to the axe_*? that removes the data whether or not it is reduces the memory in the training environment.

[UnclAlDeveloper]

Tips for a helpful feature request:

• See our contributing guidelines and development guide for more on design goals and how to contribute.

• Please include a minimal reproducible example, a reprex, to demonstrate your feature idea when appropriate. If you've never heard of a reprex before, start by reading "What is a reprex" and following the advice there. A reproducible example can be effective at demonstrating the case for a new feature.

• We don't want you to use confidential data; you can use a dataset from modeldata, blind the data, or simulate other data to demonstrate your bug. The functions caret::twoClassSim() or caret::SLC14_1() might be good tools to simulate data for you.

• Unless the feature is explicitly about parallel processing, please run sequentially. Even if it is about parallel processing, please make sure that it runs sequentially first.

• Use set.seed() to ensure any randomness in your code is reproducible.

• Please check https://stackoverflow.com/ or https://community.rstudio.com/ to see if someone has already asked the same question (see: Yihui's Rule).

• You might need to install these packages to create a reproducible example or share session info:

install.packages(c("reprex", "sessioninfo"), repos = "http://cran.r-project.org")

When you are ready to file the feature ✨ request, please delete everything above this line: < -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -->

Feature

In situations when ...

[topepo]

Can you provide some details and a reproducible examples per the template shown ☝️ ?

[github-actions[bot]]

This issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue.