). And, I
have been fiddling around with it” so I will keep you informed.
Regards
~Adam
From: Alexey Zinoviev
Date: Thursday, April 9, 2020 at 5:59 AM
To: "Carbone, Adam"
Cc: "dev@ignite.apache.org"
Subject: Re: Ignite XGBoost support
Morning!
I'm going to publish the
s like the right approach. I’m currently working to integrate the
> ignite distributed dataframes.
>
>
>
> Regards
>
>
>
> Adam
>
>
>
> Adam Carbone | Director of Innovation – Intelligent Platform Team |
> Bottomline Technologies
> Office: 603-501-6446 | Mobile
of Innovation – Intelligent Platform Team | Bottomline
Technologies
Office: 603-501-6446 | Mobile: 603-570-8418
www.bottomline.com
From: Alexey Zinoviev
Date: Friday, March 27, 2020 at 1:58 AM
To: "Carbone, Adam"
Cc: "dev@ignite.apache.org"
Subject: Re: Ignite XGBoost su
Morning, Adam, Denis!
Let me describe the current status
1. https://issues.apache.org/jira/browse/IGNITE-10810 is related to MLeap
not to XGBoost. This is the right ticket for XGBoost
https://issues.apache.org/jira/browse/IGNITE-10289
2. Currently, we have no plans to add XGBoost or any external
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 implemen
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
who is our main ML maintainer.
-
Denis
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.issuetabpa
