Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[LRNRQ] Add <block Forest> from package <blockForest> #228

Open
7 tasks
JialingHuang2 opened this issue Aug 23, 2022 · 3 comments
Open
7 tasks

[LRNRQ] Add <block Forest> from package <blockForest> #228

JialingHuang2 opened this issue Aug 23, 2022 · 3 comments
Assignees
Labels
Learner Status: Request For requesting a new learner

Comments

@JialingHuang2
Copy link

Algorithm

Package

Supported types

  • classif
  • regr
  • surv

I have checked that this is not already implemented in

  • mlr3
  • mlr3learners
  • mlr3extralearners
  • Other core packages (e.g. mlr3proba, mlr3keras)

Why do I think this is a useful learner?

this is a method which can be used for multi-omics data.

Further Optional Comments

(e.g. if this algorithm is already implemented under a different learner then please explain why this additional implementation is useful)

@JialingHuang2 JialingHuang2 added the Learner Status: Request For requesting a new learner label Aug 23, 2022
@sebffischer
Copy link
Sponsor Member

Like for your other issue :)
Do you want to implement this learner or is this a request that we implement it?

Sebastian

@JialingHuang2
Copy link
Author

This is a request. It will be great if you can implement it. Thanks!

@sebffischer
Copy link
Sponsor Member

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Learner Status: Request For requesting a new learner
Projects
None yet
Development

No branches or pull requests

4 participants