+1 (binding)
From: Luciano Resende
To: Arvind Surve ,
dev@systemml.incubator.apache.org
Date: 05/06/2017 02:10 PM
Subject:Re: [VOTE] Apache SystemML 0.14.0-incubating (RC4)
+1 (binding)
On Wed, Apr 19, 2017 at 4:18 PM Arvind Surve
wrote:
> Please vote
+1 (binding)
On Wed, Apr 19, 2017 at 4:18 PM Arvind Surve
wrote:
> Please vote on releasing the following candidate as Apache SystemML
> version 0.14.0-incubating !
> The vote is open for at least 72 hours and passes if a majority of at
> least 3 +1 PMC votes are cast.
> [ ] +1 Release this pack
llowing verifications - License and Notice validations
> -
> > Binary runtime validations- Source code compilation and runtime
> > validations - Python scripts validations using Python 2 Arvind Surve |
> > Spark Technology Center | http://www.spark.tc/
> > >
> > >
ntime
> validations - Python scripts validations using Python 2 Arvind Surve |
> Spark Technology Center | http://www.spark.tc/
> >
> > From: Glenn Weidner
> > To: dev@systemml.incubator.apache.org
> > Sent: Monday, April 24, 2017 9:30 PM
> > Subject
; To: dev@systemml.incubator.apache.org
> Sent: Monday, April 24, 2017 9:30 PM
> Subject: Re: [VOTE] Apache SystemML 0.14.0-incubating (RC4)
>
> +1
>
> Successfully ran Linear Regression, Logistic Regression, Naive Bayes, SVM in
> Python notebooks with Spark 2.0.2 (in cloud env
To: dev@systemml.incubator.apache.org
Sent: Monday, April 24, 2017 9:30 PM
Subject: Re: [VOTE] Apache SystemML 0.14.0-incubating (RC4)
+1
Successfully ran Linear Regression, Logistic Regression, Naive Bayes, SVM in
Python notebooks with Spark 2.0.2 (in cloud environment) and Spark 2.1 (on
Gradient in Scala notebooks.
Regards,
Glenn
From: Matthias Boehm
To: dev@systemml.incubator.apache.org
Date: 04/24/2017 02:02 AM
Subject:Re: [VOTE] Apache SystemML 0.14.0-incubating (RC4)
+1
I ran large-scale experiments on Spark 2.1 for L2SVM, GLM, MLogreg,
LinregCG, LinregDS
+1
I ran large-scale experiments on Spark 2.1 for L2SVM, GLM, MLogreg,
LinregCG, LinregDS, and PCA over scaled versions of MNIST and ImageNet (up
to 1TB, with uncompressed and compressed linear algebra) without any
issues.
Compared to previous experiments with SystemML 0.11 and Spark 1.6, I've
se
+1
I ran large-scale experiments on Spark 2.1 for L2SVM, GLM, MLogreg,
LinregCG, LinregDS, and PCA over scaled versions of MNIST and ImageNet (up
to 1TB, with uncompressed and compressed linear algebra) without any
issues.
Compared to previous experiments with SystemML 0.11 and Spark 1.6, I've
se
