Hi Salvatore Thanks a lot for your comments.
Timing: Yes it is time to do this! The nature of applications running on clouds is indeed changing. Initial group: We asked around for folks interested and we got a lot more people than we expected. The idea is to get something out there in a stack forge project and build something good. This group already has people who have built things like this already in the past. Hence confident about the success. Participation: We want this to be inclusive from scratch independent of who is a PTL or a contributor or merely a curious individual to give us ideas :) The community will get it right. Maybe I should have clarified that these are the members interested in seeing this happen. Wiki page: The wiki page will be ready in 1-2 days. Also we would like to have a discussion during the summit to see what we should build in the community. Would be delighted to get your thoughts. Services: Some of the services this could provide: * create experiments: define data sources, train models, then perform classification, clustering, data cleaning etc. * have experiment templates that can be reused * have an editor (maybe a horizon plugin) to drag and drop the workflow and generate an API that when called from an app would provide results * ML primitives that could be targeted initially: 1) classification 2) clustering 3) Anomaly detection thx debo On Thu, May 14, 2015 at 5:02 PM, Salvatore Orlando <sorla...@nicira.com> wrote: > > On 15 May 2015 at 00:19, Debojyoti Dutta <ddu...@gmail.com> wrote: > >> Hi! >> >> It is a great pleasure to announce the development of a new project >> called Cognitive. Cognitive provides Machine Learning [1] as a Service >> that enables operators to offer next generation data science based services >> on top of their OpenStack Clouds. >> > > I was indeed wondering when "Machine Learning as a Service" would come > up... > > >> This project will begin as a StackForge project baed upon an empty >> cookiecutter [2] repo. The repos to work in are: >> Server: https://github.com/stackforge/cognitive >> Client: https://github.com/stackforge/python-cognitiveclient >> >> Please join us via iRC on #openstack-cognitive on freenode. >> >> We will be holding a doodle poll to select times for our first meeting >> the week after summit. This doodle poll will close May 24th and meeting >> times will be announced on the mailing list at that time. At our first IRC >> meeting, we will draft additional core team members. We would like to >> invite interested individuals to join this exciting new development effort! >> > > From my little experience, "drafting" core members before even actually > having a code base has drawbacks. Also, it seems the initial starting team > is already large enough for ensuring support for 1 or 2 release cycle. > > >> >> > >> Please commit your schedule in the doodle poll here: >> http://doodle.com/drrka5tgbwpbfbxy >> >> Initial core team: Steven Dake, Aparupa Das Gupa, Debo~ Dutta, Johnu >> George, Kyle Mestery, Sarvesh Ranjan, Ralf Rantzau, Komei Shimamura, Marc >> Solanas, Manoj Sharma, Yathi Udupi, Kai Zhang. >> > > Hey! What's the Neutron PTL doing there? Sorry we need his reviews we > can't loan it to you! > > >> >> A little bit about Cognitive: >> Data driven applications on cloud infrastructure increasingly rely on >> Machine Learning. Most data driven applications today use Machine Learning >> (ML). This often requires application developers and data scientists to >> write their own machine learning stack or deploy other packages to do any >> kind of data science based applications. Data scientists also need to have >> an easy way to rapidly experiment with data without having to write basic >> infrastructure for data manipulations. Cognitive is a Machine Learning >> service on top of OpenStack and provides machine learning based services to >> tenants (API, workbench, compute service). >> > > I wonder what kind of services you would offer; also you could have shared > something about the architecture of this service. Is it providing a full > machine learning stack, or just facilitating the use of existing one? > > But I see that there's a link to a wiki page below. This might have all > the answers. > > >> >> >> For information about blueprints check out: >> https://blueprints.launchpad.net/cognitive >> https://blueprints.launchpad.net/python-cognitiveclient >> >> For more details, check out our Wiki: >> https://wiki.openstack.org/wiki/Cognitive >> > > ... and unfortunately the wiki is empty ;) > > >> >> Please join the awesome Cognitive team in designing a world class Machine >> Learning as a Service solution. >> >> We look forward to seeing you on IRC on #openstack-cognitive. >> >> Regards, >> Debo~ Dutta (on behalf of the initial team) >> >> [1] http://en.wikipedia.org/wiki/Machine_learning >> [2] https://github.com/openstack-dev/cookiecutter >> >> __________________________________________________________________________ >> 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 >> >> > > __________________________________________________________________________ > 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 > > -- -Debo~
__________________________________________________________________________ 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
