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> > > >
