Hi, One question here, if I will start with development about this R support at our engine, I will make it based on that we have today or in this new concept?
Because I understood the concepts change a lot, right? On Mon, Oct 15, 2018 at 1:56 PM Rafael Novello <rafa.reis.nove...@gmail.com> wrote: > Hi guys! > > Despite issues related to performance and scalability I believe we need > to support R engines to cover the most part of data science/machine > learning > projects. Sometimes the code performance isn't the main question and the > team performance (how fast the team can delivery some value) is more > important. > > We are working (doing some POCs and trials) on a new toolbox concept to > facilitate the inclusion of new languages support. We could discuss this in > more details but I believe this kind of detail is not the focus for this > thread. > > +1 for R support > > Best! > Atenciosamente, > Rafael J. R. Novello > > Skype: rafael.novello > Blog: http://rafanovello.blogspot.com.br/ > > > Em qui, 11 de out de 2018 às 23:01, Lucas Bonatto Miguel < > lucasbona...@gmail.com> escreveu: > > > The idea is to create the R toolbox, providing a similar user experience > > that we provide in Python today. > > > > Regards, > > Lucas > > > > On Thu, Oct 11, 2018 at 6:30 PM Alan Silva <alan.si...@cloudera.com > > .invalid> > > wrote: > > > > > Hi to all, > > > > > > Yes, R would be a language like Python that I believe we should have in > > our > > > toolset and even as I had already raised it, I'm also very interested > in > > > working on this part of making a frontend with R. > > > > > > However, am I understanding after your last mail that the idea here is > to > > > do something different from what happens with Python today? Was not > that > > > clear to me? Or would it make a frontend similar to what we have in > > Python > > > and in the future for Scala too, correct? > > > > > > > > > On Thu, Oct 11, 2018 at 8:21 PM Lucas Bonatto Miguel < > > lucasb...@apache.org > > > > > > > wrote: > > > > > > > Hi community, I already participated in several discussions with some > > of > > > > you regarding adding support to R on Marvin. Allowing users to write > > > > engines in R would be a great step for Marvin since that's the > primary > > > > language for many statisticians, physicists and math people. > > > > > > > > One of the points that always arise during those conversations is the > > > fact > > > > that R is not fast nor scalable, and it would be hard to either make > it > > > > process large chunks of data for training or make it support high > > > > throughput and have low latency for predictions. I want to start a > > thread > > > > on whether we should invest more time trying to add R support to > Marvin > > > or > > > > not. I invite you all to read about this related work: > > > > https://medium.com/graalvm/faster-r-with-fastr-4b8db0e0dceb > > > > > > > > I am looking forward to hearing opinions and ideas. > > > > > > > > Thanks, > > > > Lucas > > > > > > > > > > > > > -- > > > *Alan Silva* | Solutions Architect > > > t. +55 (11) 99951- <0000000000>5242 e. alan.si...@cloudera.com > > > cloudera.com <http://www.cloudera.com> > > > > > > [image: Cloudera] <http://www.cloudera.com/> > > > > > > [image: Cloudera on Twitter] <https://twitter.com/cloudera> [image: > > > Cloudera on Facebook] <https://www.facebook.com/cloudera> [image: > > Cloudera > > > on LinkedIn] <https://www.linkedin.com/company/cloudera> > > > > > >
