You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, I would like to work on merging the sample weights version. Can you provide some guidance in terms of your own requirements?
My final goal is having a sample weights version in R (based on https://cran.r-project.org/web/packages/LiblineaR/index.html)
I have done the majority of the work,
but there are a few sticking points:
a) adding sample weights 'breaks' the interface for eg matlab and python versions
b) should one change the code to always use sample weights, or is the added computational cost too great?
c) currently I have merged the c++ code using conditional compilation because of b), however, this does not work for python and R (no conditional compilation), so it raises the worry of python/R code calling the library with the wrong compilation options.
eg I could
The text was updated successfully, but these errors were encountered:
Hi, I would like to work on merging the sample weights version. Can you provide some guidance in terms of your own requirements?
My final goal is having a sample weights version in R (based on https://cran.r-project.org/web/packages/LiblineaR/index.html)
I have done the majority of the work,
but there are a few sticking points:
a) adding sample weights 'breaks' the interface for eg matlab and python versions
b) should one change the code to always use sample weights, or is the added computational cost too great?
c) currently I have merged the c++ code using conditional compilation because of b), however, this does not work for python and R (no conditional compilation), so it raises the worry of python/R code calling the library with the wrong compilation options.
eg I could
The text was updated successfully, but these errors were encountered: