Hi Trinath, Denis and Telles. 

Thank you for your comments.

The goal of this project is to be a Big Tent project.

For that, I plan to release the initial version in github by end of this year.
Initial version will include a devstack plugin to enable everyone to try Meteos 
easily.

And then, some documentations (Installation Guide, Development Guide, and ..) 
will be released.

Everyone can participate in this project as a user, developer, reviewer in the 
same way as another OpenStack projects.
(However, There is no source code currently. Please wait for first release.)

I plan to make the session to share with you about Meteos in next Boston 
OpenStack summit. 
And if you will go to Barcelona next week, please feel free to contact me.

Thanks.

----------------
Hiroyuki Eguchi

From: Telles Nobrega [mailto:tenob...@redhat.com] 
Sent: Thursday, October 20, 2016 9:46 PM
To: OpenStack Development Mailing List (not for usage questions)
Subject: Re: [openstack-dev] [new][meteos] New project: Meteos

Seems really interesting for sure, please give some more details on how people 
can pitch in.

Regards,

On Thu, Oct 20, 2016 at 9:24 AM, Denis Makogon <lildee1...@gmail.com> wrote:
Hi.

Congrats.

Same questions.

Basically we'd all like to know project scope. Any additional information in 
project appreciated.

Kind regards,
Denis Makogon

четверг, 20 октября 2016 г. пользователь Trinath Somanchi написал:

Hi-
 
Congratulations on this announcement.
 
What is the initial stepin to work in this project? 
What are the plans and deliverables?
 
/Trinath
 
From: Hiroyuki Eguchi [mailto:h-egu...@az.jp.nec.com] 
Sent: Thursday, October 20, 2016 12:38 PM
To: 'openstack-dev@lists.openstack.org' <openstack-dev@lists.openstack.org>
Subject: [openstack-dev] [new][meteos] New project: Meteos
 
Hello.
 
I'm pleased to introduce a new project called Meteos.
 
Meteos is Machine Learning as a Service (MLaaS) in Apache Spark.
 
Meteos allows users to analyze huge amount of data and predict a value by data 
mining and machine learning algorithms.
Meteos create a workspace of Machine Learning via OpenStack Sahara’s spark 
plugin and manage some resources and jobs regarding Machine Learning. 
 
This project has just started.
I plan to release the initial version by the end of this year.
 
If you have any questions concerning this project, please feel free to contact 
me.
 
For more details:
 
[Wiki]
https://wiki.openstack.org/wiki/Meteos
 
[Use Case(Predict sales using Meteos)]
https://wiki.openstack.org/wiki/Meteos/Usecase
 
[Launchpad]
https://launchpad.net/meteos
https://launchpad.net/python-meteosclient
 
Thanks.
 
--------------------------------------------------
Hiroyuki Eguchi
 

__________________________________________________________________________
OpenStack Development Mailing List (not for usage questions)
Unsubscribe: openstack-dev-requ...@lists.openstack.org?subject:unsubscribe
http://lists.openstack.org/cgi-bin/mailman/listinfo/openstack-dev




-- 

 
Telles Nobrega | Software Engineer
Red Hat Brasil

T: +55 11 3529-6000 | M: +55 11 9 9910-1689

Av. Brigadeiro Faria Lima 3900, 8° Andar. São Paulo, Brasil.
RED HAT | TRIED. TESTED. TRUSTED. Saiba porque em redhat.com 



__________________________________________________________________________
OpenStack Development Mailing List (not for usage questions)
Unsubscribe: openstack-dev-requ...@lists.openstack.org?subject:unsubscribe
http://lists.openstack.org/cgi-bin/mailman/listinfo/openstack-dev

Reply via email to