BTW, I can contribute if there is already an effort going on somewhere. On Fri, Aug 31, 2018 at 3:35 PM Hemant Bhanawat <hemant9...@gmail.com> wrote:
> We allow our users to interact with spark cluster using SQL queries only. > That's easy for them. MLLib does not have SQL extensions and we cannot > expose it to our users. > > SQL extensions can further accelerate MLLib's adoption. See > https://cloud.google.com/bigquery/docs/bigqueryml-intro. > > Hemant > > > On Thu, Aug 30, 2018 at 9:41 PM William Benton <wi...@redhat.com> wrote: > >> What are you interested in accomplishing? >> >> The spark.ml package has provided a machine learning API based on >> DataFrames for quite some time. If you are interested in mixing query >> processing and machine learning, this is certainly the best place to start. >> >> See here: https://spark.apache.org/docs/latest/ml-guide.html >> >> >> best, >> wb >> >> >> >> On Thu, Aug 30, 2018 at 1:45 AM Hemant Bhanawat <hemant9...@gmail.com> >> wrote: >> >>> Is there a plan to support SQL extensions for mllib? Or is there an >>> effort already underway? >>> >>> Any information is appreciated. >>> >>> Thanks in advance. >>> Hemant >>> >>
