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aksnzhy / xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
https://xlearn-doc.readthedocs.io/en/latest/index.html
Apache License 2.0
3.09k stars 519 forks source link

A request: R issues #253

Open jameslamb opened 5 years ago

jameslamb commented 5 years ago

Hello from Chicago!

My friends and I from Uptake would like to come help develop the xlearn R package. We've been keeping an eye on xlearn since our colleague @randxie introduced us to it in #72 .

I have an ask...would you consider going through the issues backlog doing these two things?

  1. tagging R-specific issues with r-pkg or something like it
  2. adding issues for other things you'd like to see done for the R package (however small)!

If you could help us understand where to direct our efforts, we'd be happy to contribute!

Thanks for hearing me out,

-James

aksnzhy commented 5 years ago

@jameslamb Hi, we are very happy you come to help the R package. Actually, we try to build an R package to xLearn long time ago but failed. Because the R contributor is not familiar with C++ cmake. So the R code never worked, and you can ignore the original R package and build a new one. Thanks again !

jameslamb commented 5 years ago

@aksnzhy sure, ok! Thanks for letting us try to contribute it. My friends and I will try to put together an initial PR with the R package 😀