that's a good catch Felix! I would recommend to cast this exception to a warning and move it to a central place like SparkExecutionContext to ensure consistency across all APIs and deployments.
Regards, Matthias From: Deron Eriksson <deroneriks...@gmail.com> To: dev@systemml.incubator.apache.org Date: 02/20/2017 02:14 PM Subject: Re: Minimum required Spark version Hi Felix, I agree that the 2.1 hard requirement is a bit restrictive. If someone can validate that Spark versions less than 2.1 and greater than 2.0.* work, this seems like a great idea to me. Deron On Mon, Feb 20, 2017 at 1:43 PM, <fschue...@posteo.de> wrote: > Hi, > > the current master and 0.13 release have a hard requirement in MLContext > for Spark 2.1. Is this really necessary or could we set it to >= 2.0? Only > supporting the latest Spark release seems a little restrictive to me. > > > -Felix > -- Deron Eriksson Spark Technology Center http://www.spark.tc/
