> wrote:
> > >
> > > +1
> > > Completed following verifications - License and Notice validations
> -
> > Binary runtime validations- Source code compilation and runtime
> > validations - Python scripts validations using Python 2 Arv
> From: Glenn Weidner <gweid...@us.ibm.com>
> 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,
<gweid...@us.ibm.com>
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 envir
Gradient in Scala notebooks.
Regards,
Glenn
From: Matthias Boehm <mboe...@googlemail.com>
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 L2SV
+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
+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
