Yeah I want us to look heavily into this problem in the context of deep
learning algorithms. I think we should plan on having first-class support for
DL in our 1.0 release, including efficient (distributed SGD) training (+GPUs)
and efficient distributed scoring. Nice thing too is that when we
We will plan to have branch based on 0.13 tag. -- Arvind
Surve Spark Technology Center http://www.spark.tc/
From: Luciano Resende
To: dev@systemml.incubator.apache.org; Arvind Surve
Sent: Thursday, February 16, 2017
What do you mean by frozen ? A branch will be created from the 0.13 rc tag
if needed ? or master will be frozen?
On Thu, Feb 16, 2017 at 8:29 AM, Arvind Surve
wrote:
> Hi,
> We are planning to get SystemML 0.13 release out. One of the major purpose
> of this release is
Hi,
We are planning to get SystemML 0.13 release out. One of the major purpose of
this release is to provide supporting SystemML on Spark 2.1.0.We will plan to
do Release Candidate (RC) build by end of this week. After RC build,
verification will be done to get code ready for publish.
Once RC