Skip to content

Do we really need the special code in regr.randomForest for se estimation if we have that in BaggingWrapper? #32

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

Closed
berndbischl opened this issue Dec 6, 2013 · 5 comments
Assignees

Comments

@berndbischl
Copy link
Member

No description provided.

@ghost ghost assigned berndbischl Dec 6, 2013
@berndbischl
Copy link
Member Author

We need to update the code and take that here into account

https://github.com/zmjones/edarf

@zmjones
Copy link
Contributor

zmjones commented Mar 5, 2015

most of my code comes from randomForestCI. their variance estimator requires as input a matrix of bootstrap weights and the tree predictions as well, which neither rfsrc nor cforest provide. There is code to do both of those things in edarf. randomForest doesn't return a proper bootstrap weights matrix, only giving you an indicator of whether an observation was in the bootstrap sample for a tree, not the number of times it appears. Wager has also fixed this but I don't think it has been merged yet. I assume it will be at some point though.

I will look at integrating some of this stuff as soon as I get a chance!

@berndbischl berndbischl added this to the v2.7 milestone Sep 23, 2015
@zmjones
Copy link
Contributor

zmjones commented Dec 9, 2015

outdated/superseded by discussion in #595. will open an issue for the baggingwrapper se estimators when that is closed

@zmjones zmjones closed this as completed Dec 9, 2015
@berndbischl
Copy link
Member Author

ok

@berndbischl
Copy link
Member Author

in general i would like to have the issues stay really open until they are solved, but what you say seems ok to me

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants