I would say no, at least not without a fair degree of algorithm writing experience. MLLib is primarily a set of machine learning algorithms, many of which are based on implementations of distributed optimisation procedures. The SAS routines you mention are optimisation routines which don't have directly comparable implementations in MLLib. One possibility is the TFOCS spark package which might be of interest but I'm not sure it quite matches what you are asking for. It's built by databricks so maybe one of their people can advise.
One question I would ask is is this a big data problem? Could you use a python or julia library on a machine with large amounts of RAM? Would be interested in hearing the views of others on the forum. Sent from my iPhone > On 5 Oct 2016, at 05:28, nsareen <nsar...@gmail.com> wrote: > > I'm not getting any support in this group, is the question not valid ? need > someone to reply to this question, we have a huge dependency on SAS which we > want to eliminate & want to know if spark can help. > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/MLib-Non-Linear-Optimization-tp27645p27835.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
