Re: spark hybrid mode on HDFS

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

Re: spark hybrid mode on HDFS

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

Re: Decaying performance of SystemML

Thanks Matthias for your answers! I'll look into proper allocation of the memory issue. Maybe you rightly pointed out, I'm making mistake there. I'm more of a data scientist than a programmer. So I generally don't tinker with existing setup and so have less knowledge about these things. I'll rea

Re: Error while Executing code inSystemML

Thanks a lot Janardhan! You guyz rocks!! Without the help of you people I don't think I could make much headway in my project. Thanks again! Arijit From: Janardhan Pulivarthi Sent: Monday, July 17, 2017 12:07:16 PM To: dev@systemml.apache.org Subject: Re: Er

Jenkins build is back to normal : SystemML-DailyTest #1116

See

Re: Apache SystemML 1.0 Release build

The verification of SVM, GLM, Logistic Regression and Survival Analysis scripts with the ML Context is pending. SYSTEMML-1648 > 1648, 1649, 1651, 1653 - Janardhan On Sun, Jul 16, 2017 at 6:04 AM, Mike Dusenberry wrote: > The deep learning work (nn library, Caffe2DML, GPUs, and general engine >