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Bootstrapping with class weights #29

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root2891 opened this issue Jan 4, 2016 · 2 comments
Closed

Bootstrapping with class weights #29

root2891 opened this issue Jan 4, 2016 · 2 comments

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@root2891
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root2891 commented Jan 4, 2016

Currently, each observation is equally probable to be picked up while bootstrapping for a tree. Please add an option to bootstrap based on number of files in class and weighting accordingly.

or, an option where, there is a weight to each observation.
@mnwright
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mnwright commented Jan 4, 2016

Weighted sampling is included since version 0.3.2 (not on CRAN yet).

@mnwright mnwright closed this as completed Jan 4, 2016
@root2891
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root2891 commented Jan 5, 2016

Thanks..
On Jan 4, 2016 3:21 PM, "Marvin N. Wright" notifications@github.com wrote:

Closed #29 #29.

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#29 (comment).

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@root2891 @mnwright