The TFOCS package is announced here: 
https://databricks.com/blog/2015/11/02/announcing-the-spark-tfocs-optimization-package.html
 
<https://databricks.com/blog/2015/11/02/announcing-the-spark-tfocs-optimization-package.html>

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Robin East
Spark GraphX in Action Michael Malak and Robin East
Manning Publications Co.
http://www.manning.com/books/spark-graphx-in-action 
<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.
>> 
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