Outside of Spark, we'd recommend looking at IpOpt as an open source alternative for this: http://www.coin-or.org/projects/Ipopt.xml
Blake On Wed, Oct 5, 2016 at 8:59 AM Robin East <robin.e...@xense.co.uk> wrote: > The TFOCS package is announced here: > https://databricks.com/blog/2015/11/02/announcing-the-spark-tfocs-optimization-package.html > > > ------------------------------------------------------------------------------- > Robin East > *Spark GraphX in Action* Michael Malak and Robin East > Manning Publications Co. > http://www.manning.com/books/spark-graphx-in-action > > > > > > On 5 Oct 2016, at 08:29, Robin East <robin.e...@xense.co.uk> wrote: > > 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 > <http://nabble.com>. > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > > > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > > >
