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    Christophe Rannou
    @ChrisRannou_twitter
    Bonjour, c'est un problème connu que nous essayons de résoudre, avez vous essayez de relancer l'entrainement du modèle ? Sinon une solution pourrait être de recréer le dataset
    ggros
    @ggros
    @ChrisRannou_twitter oui j'avais essayé de refaire le train mais sans résultat. Je vais tenter de refaire le dataset. Merci.
    Cédric Mourizard
    @cedricmourizard_twitter
    Hello guys, anyone plans to be at the OVH summit this week ?
    It seems that you will have a track @jqueguiner at 15.00 ?
    Maël LE GAL
    @mael-le-gal
    Hello Cédric
    Almost all the team will be at the summit yes
    Cédric Mourizard
    @cedricmourizard_twitter
    great news
    :)
    do you plan some particular things outside of the main program ?
    Maël LE GAL
    @mael-le-gal
    During all the event you will find us on the Public Cloud booth.
    • Guillaume will present a demo of the AI MarketPlace at 13:25
    • Adrien will present a demo of our serving engine at 14:40
    • Myself and Adrien will animate a labs on prescience at 13:00
    • Christophe & Clément will present a breakout session about Machine Learning & Time-series at 15:00
    • Jean-Louis will be animate a round table discussion on AI at 15:00
    Schedules may change
    Cédric Mourizard
    @cedricmourizard_twitter
    Thanks a lot Maël !
    Does the labs about prescience need some technical knowledge ?
    Maël LE GAL
    @mael-le-gal
    Basic knowledge on Machine Learning will help a lot, but we will try to stay as simple as possible.
    You'll just need to come with a laptop.
    We will explain the 2 ways of using Prescience and attendees will choose the solution they are comfortable with :
    • From the UI (which is the simpliest)
    • From a Jupyter notebook (you will need some skills with Python)
    Cédric Mourizard
    @cedricmourizard_twitter
    ok thanks :thumbsup:
    Cédric Mourizard
    @cedricmourizard_twitter
    Hello Guys, maybe one of these tools can be a new "app" on the market place :-) (link shared from the lyontechhub slack ) https://fosspost.org/lists/open-source-speech-recognition-speech-to-text
    vballu
    @vballu
    Hello !
    We are currently working on several almost real times operations. We would like avoid to pre-compute some intermediates GTS. Yet, we currently spend more than 10 min for just a count over a 24h windows and lot of GTSs and Values. Do you have any advice to address this problems ? Is the pre-computation needed ?
    Guillaume Salou
    @jagwar
    Hello, thanks @cedricmourizard_twitter, we will have a look :)
    Hello, @vballu. Are you using Prescience with the metrics connector ?
    vballu
    @vballu
    @jagwar , hello. I'm not using prescience for this kind of operations. It is more a data engineering issue.
    After some investigations. I'm pretty sure that can't handle it in the way we wanted to proceed. (IE: Real time processing over millions GTS and huge JSON string as values to treat). Network and memory are bottleneck expensive to manage for a low return in term of performances.
    I think that we will proceed by rethinking our data pipeline to have an easier data to handle. Less heavy.
    Prescience will come in a second time
    Guillaume Salou
    @jagwar
    @vballu about metrics question, you can ask here https://gitter.im/ovh/metrics
    if you have Prescience questions, you're welcome
    baaastijn
    @baaastijn
    Yep, that’s maybe something you don’t know @vballu . We provide OVH Metrics, offers to ingest/query time series : https://www.ovh.com/fr/data-platforms/metrics/
    you can reach their team on the channel given by jagwar they have much more expertize in this field VS « ai » channel :)
    Cédric Mourizard
    @cedricmourizard_twitter
    Hello, it seems that some iPaaS tools check the certificate to use the APIs and some errors are reported : https://www.sslshopper.com/ssl-checker.html#hostname=https://api-market-place.ai.ovh.net Do you think that you can do something to fix that ?
    baaastijn
    @baaastijn
    Hello Cedric, i’ll forward your request to the team
    re, team will work on it tomorrow to fix it. thx for the feedback !
    Cédric Mourizard
    @cedricmourizard_twitter
    perfect, thanks a lot !
    Adrien Carreira
    @XciD
    @cedricmourizard_twitter fixed
    Cédric Mourizard
    @cedricmourizard_twitter
    It works like a charm, thanks a lot @XciD and @baaastijn
    🎙Jean-Louis Queguiner
    @JiliJeanlouis_twitter
    @cedricmourizard_twitter : now sentiment analysis and language detection are compatible \o/
    sorry for the inconvenience one was iso-1 and the other iso-3
    all are iso-3 now
    Cédric Mourizard
    @cedricmourizard_twitter
    WoW sounds greats, thanks a lot :thumbsup:
    Cédric Mourizard
    @cedricmourizard_twitter
    We built a component on Integromat (advanced iftt tools) to perform some quick integration by automation :thumbsup:
    🎙Jean-Louis Queguiner
    @JiliJeanlouis_twitter
    cool
    I’d love to see that
    Cédric Mourizard
    @cedricmourizard_twitter
    With pleasure !
    For your information, some issues appear on the language detection API
    with a french text with accent, the API returns a 500
    Example: {"text":"Bonjour, c'est génial cette API"}
    Adrien Carreira
    @XciD
    @cedricmourizard_twitter nice catch
    will be fixed next update
    Cédric Mourizard
    @cedricmourizard_twitter
    Happy new near the AI team :-) Following this way to provide us great tools and alternatives :-)
    baaastijn
    @baaastijn
    same Cédric, Happy New year ! 2020 looks promising :)
    baaastijn
    @baaastijn

    Hello there !

    We are glad to announce the release of OVHcloud ML Serving Engine !
    Since yesterday, you can find this new service inside your Public Cloud control panel and use it for free during the early access phase.

    What’s this, what do we solve ?

    Well, when we talk about machine learning adoption in companies, most of them face the same challenge : perform a smooth transition from prototype to industrialization.
    Usually, a datascientist build a model then developers and data engineers push it in production, allowing the company to use it on a daily basis. This process is quite often manual and time consuming.

    OVHcloud ML Serving Engine solves this challenge and helps you to deploy models in production. Built by our data team, you can now deploy models with a few clicks.
    Models can be yours, since we are compliant with standards formats such as ONNX, PMML, Tensorflow HDF5/SaveModel, but you can also deploy pre-trained models from our catalog.

    Once your model is deployed, you will be provided an API endpoint, but also nice features like autoscaling, versioning and observability.

    Want to give a try for free ? Connect to OVHcloud control panel, select Serving Engine in the left menu : https://www.ovh.com/manager/public-cloud/#/

    For more information, you can find our documentation here : https://docs.ovh.com/gb/en/serving-engine/

    And of course don’t hesitate to share your feedbacks and questions here !

    Have a good day :)

    baaastijn
    @baaastijn
    Cc @/all :)
    XavBart
    @xavbart
    Hi there. I did upload a PMML model (generated at BigML) and indeed it seems to have correctly been set up (it does describe correctly parameters and all in the expected input / output on the describe page and on the direct URL) and it gets a 500 error. https://cl.ly/8386b2400022 (I thought I was making mistake in my json doing my own request, so I tried OVH-provided test on the URL page, same result) Any clue as to where I should be looking ?
    XavBart
    @xavbart
    @xavbart (and also, let me know if this is not exactly the right area to discuss things that might be caused by my own stupidity ;-) )
    baaastijn
    @baaastijn
    hello, this is the right place :)