Hello Matthias,
Thank you so much for the clarification. This works after using the most
recent build.
Cheers,
Krishna
On Mon, Jul 17, 2017 at 10:49 PM, Matthias Boehm
wrote:
> well, at a high-level, resource negotiation and distributed storage are
> orthogonal concepts. Yarn, Mesos, Standalone
well, at a high-level, resource negotiation and distributed storage are
orthogonal concepts. Yarn, Mesos, Standalone, and Kubernetes are resource
schedulers, which you can configure via master and a separate deploy mode
(client/cluster). Under the covers of the HDFS API, you can also use
various al
Hello All,
I have some questions running systemml scripts on HDFS (with hybrid_spark
execution mode).
My Current Configuration:
Standalone HDFS on OSX (version 2.8)
and Spark Pre-Built for hadoop 2.7 (version 2.1.0)
*jps* out from my system
[image: Inline image 1]
Both of them have been install
