purpose approach.
>
> Any other thoughts?
> Best
> Simone
> Da: Peyman Mohajerian <mailto:mohaj...@gmail.com>
> Inviato: 20/07/2016 21:55
> A: Simone Miraglia <mailto:simone.mirag...@gmail.com>
> Cc: User <mailto:user@spark.apache.org>
> Oggetto: Re: ML
One option is to save the model in parquet or json format and then build
your own prediction code. Some also use:
https://github.com/jpmml/jpmml-sparkml
It depends on the model, e.g. ml v mllib and other factors whether this
works on or not. Couple of weeks ago there was a long discussion on this
