Good afternoon Denis,
Nice to meet you, Hello to you too Alexey. So I'm not sure if it will be me or
another member on our team, but I wanted to start the discussion. We are
investigating/integrating ignite into our ML platform. In addition We have
already done a separate tensor flow implementation for Neural Network using the
C++ libraries. And we were about to take the same approach for XGBoost, when we
saw the 2.8 announcement. So before we went that route I wanted to do a more
proper investigations as to where things were, and where they might head.
Regards
Adam
Adam Carbone | Director of Innovation – Intelligent Platform Team | Bottomline
Technologies
Office: 603-501-6446 | Mobile: 603-570-8418
www.bottomline.com
On 3/26/20, 5:20 PM, "Denis Magda" <dma...@apache.org> wrote:
Hi Adam, thanks for starting the thread. The contributions are
highly appreciated and we'll be glad to see you among our contributors,
especially, if it helps to make our ML library stronger.
But first things first, let me introduce you to @Alexey Zinoviev
<zaleslaw....@gmail.com> who is our main ML maintainer.
-
Denis
On Thu, Mar 26, 2020 at 1:49 PM Carbone, Adam <adam.carb...@bottomline.com>
wrote:
> Good Afternoon All
>
> I was asked to forward this here by Denis Magda. I see in the 2.8 release
> that you implemented importing of XGBoost models for distributed inference
> =>
>
https://issues.apache.org/jira/browse/IGNITE-10810?focusedCommentId=16728718&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16728718Is
> there any plans to add distributed training, We are at a cross roads of
> building on top of the C++ libraries an XGBoost solution, but if this is
on
> the roadmap maybe we will go the ignite direction vs the pure C++, and
> maybe we might even be able to help and contribute.
>
> Regards
>
> Adam Carbone
>
> Adam Carbone | Director of Innovation – Intelligent Platform Team |
> Bottomline Technologies
> Office: 603-501-6446 | Mobile: 603-570-8418
> www.bottomline.com
>
>
>
