Hehe, Sean. I knew that (and I knew the answer), but meant to ask a co-question to help to find the answer *together* :)
Pozdrawiam, Jacek Laskowski ---- https://medium.com/@jaceklaskowski/ Mastering Apache Spark http://bit.ly/mastering-apache-spark Follow me at https://twitter.com/jaceklaskowski On Fri, Jul 22, 2016 at 12:52 PM, Sean Owen <so...@cloudera.com> wrote: > Machine Learning > > If you mean, how do you distribute a new model in your application, > then there's no magic to it. Just reference the new model in the > functions you're executing in your driver. > > If you implemented some other manual way of deploying model info, just > do that again. There's no special thing to know. > > On Fri, Jul 22, 2016 at 11:39 AM, Jacek Laskowski <ja...@japila.pl> wrote: >> Hi, >> >> What's a ML model? >> >> (I'm sure once we found out the answer you'd know the answer for your >> question :)) >> >> Pozdrawiam, >> Jacek Laskowski >> ---- >> https://medium.com/@jaceklaskowski/ >> Mastering Apache Spark http://bit.ly/mastering-apache-spark >> Follow me at https://twitter.com/jaceklaskowski >> >> >> On Fri, Jul 22, 2016 at 11:49 AM, Sergio Fernández <wik...@apache.org> wrote: >>> Hi, >>> >>> I have one question: >>> >>> How is the ML models distribution done across all nodes of a Spark cluster? >>> >>> I'm thinking about scenarios where the pipeline implementation does not >>> necessary need to change, but the models have been upgraded. >>> >>> Thanks in advance. >>> >>> Best regards, >>> >>> -- >>> Sergio Fernández >>> Partner Technology Manager >>> Redlink GmbH >>> m: +43 6602747925 >>> e: sergio.fernan...@redlink.co >>> w: http://redlink.co >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
