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From Yuriy Babak <y.ch...@gmail.com>
Subject Re: Ignite ML withKeepBinary cache
Date Mon, 21 Jan 2019 15:58:04 GMT
Hi all,

Ticket 10700 [1] is resolved, this ticked added support of training models
over a cache with binary objects(cache with enabled keepBinary flag) for
more details please take a look the mentioned ticked or added example [2].

[1] - https://issues.apache.org/jira/browse/IGNITE-10700
[2] - org.apache.ignite.examples.ml.TrainingWithBinaryObjectExample

Sincerely,
Best regards,
Yuriy Babak


чт, 10 янв. 2019 г. в 14:07, Alexey Zinoviev <zaleslaw.sin@gmail.com>:

> Thanks a lot for the example. Will write later about keepBinary support in
> this thread.
>
> чт, 10 янв. 2019 г. в 13:28, otorreno <oscar.torreno@shapelets.io>:
>
> > Alexey, thanks for your support.
> >
> > Answer to your questions:
> > 1) At the moment the types are: String, Long and Double. But this could
> > actually change in the future to any other user-defined types/classes (We
> > know we would need to provide data encoders for such types)
> > 2) Yes, all data series have the same schema (same number of columns and
> > same types)
> > 3)  all_sites.csv
> > <
> >
> http://apache-ignite-developers.2346864.n4.nabble.com/file/t659/all_sites.csv
> >
> >
> > contains an example of what data we are trying to work with. Each of the
> > rows of such file contains the metadata of a given data series, as I
> > described in my first post of this thread.
> >
> > Remember that we have such table stored in a cache which uses the
> > withKeepBinary method. And the problem I faced was not being able to use
> > such cache as input to the ML algos (a copy of such cache to a cache
> > without
> > the keepBinary property would work, but that is not the solution we want
> to
> > apply). What I would like to do is add support to caches with keepBinary
> to
> > Ignite ML.
> >
> > Best,
> > Oscar
> >
> >
> >
> > --
> > Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/
> >
>

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