I'm not exactly clear on what you're proposing, but this sounds like something that would live as a Spark package - a framework for anomaly detection built on Spark. If there is some specific algorithm you have in mind, it would be good to propose it on JIRA and discuss why you think it needs to be included in Spark and not live as a Spark package.
In general, there will probably be resistance to including new algorithms in Spark ML, especially until the ML package has reached full parity with MLlib. Still, if you can provide more details that will help to understand what is best here. On Thu, Sep 14, 2017 at 1:29 AM, Venali Sonone <venalis...@gmail.com> wrote: > > Hello, > > I am new to dev community of Spark and also open source in general but > have used Spark extensively. > I want to create a complete part on anomaly detection in spark Mlib, > For the same I want to know if someone could guide me so i can start the > development and contribute to Spark Mlib. > > Sorry for sounding naive if i do but any help is appreciated. > > Cheers! > -venna > >
