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From Alexey Zinoviev <zaleslaw....@gmail.com>
Subject Re: H2O integration
Date Thu, 31 Oct 2019 18:49:09 GMT
Yes, you are correct

чт, 31 окт. 2019 г., 20:29 Denis Magda <dmagda@apache.org>:

> Basically it means a model trained with H2O can be transformed to Ignite’s
> one and executed in our cluster? Sorry if I’m still missing something.
>
> Denis
>
> On Thursday, October 31, 2019, Alexey Zinoviev <zaleslaw.sin@gmail.com>
> wrote:
>
> > Thanks, Denis, no, the initial H2O integration is not the same as
> > TensorFlow integration, it perform the prediction phase (than you have
> > trained model) nor training as I mentioned "As a result we could predict
> > something on Ignite data via the model trained in H2O system."
> >
> > It's the same as XGBost and Spark ML integration, but I hope that we
> could
> > extend our integration here and provide something like Ignite data-source
> > for training in H2O in the future.
> >
> > чт, 31 окт. 2019 г. в 16:48, Denis Magda <dmagda@apache.org>:
> >
> > > Hi Alexey,
> > >
> > > That’s great to see that our ML and DL capabilities keep growing via
> > > integrations!
> > >
> > > Is it correct to say that H2O uses Ignite as a data source in a way
> > similar
> > > to what we did for TensorFlow?
> > >
> > > Btw, do you have any plans to spread the word about the additions
> through
> > > blogging? H2O, Spark ML, XGBoost deserve their own articles.
> > >
> > > Denis
> > >
> > > On Thursday, October 31, 2019, Alexey Zinoviev <zaleslaw.sin@gmail.com
> >
> > > wrote:
> > >
> > > > Hi, Igniters,
> > > >    I happy to announce the new part of Ignite ML functionality.
> > > >
> > > > The integration with the popular distributed library H2O
> > > > https://github.com/h2oai was added.
> > > > As a result we could predict something on Ignite data via the model
> > > trained
> > > > in H2O system.
> > > >
> > > > Many thanks to Michal Kurka (https://github.com/michalkurka),
> waiting
> > > him
> > > > on our dev-list, hope that he will help with the backward integration
> > > from
> > > > Ignite to H2O system.
> > > >
> > > > Remind, that now we have integrations with XGBoost, TensorFlow, Spark
> > ML
> > > > via SparkMlParser and MLeap integration and waiting for the new
> > > > integrations with Dl4j or PyTorch for example
> > > >
> > > > Sincerely yours,
> > > >              Alexey Zinoviev
> > > >
> > >
> > >
> > > --
> > > -
> > > Denis
> > >
> >
>
>
> --
> -
> Denis
>

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