Ignite ML withKeepBinary cache

2019-01-02 Thread otorreno
Hi everyone, I posted the following message on the Ignite Users list, but stephendarlington suggested that it would be better to post it in the dev list. Original message: After the new rele

Re: Ignite ML withKeepBinary cache

2019-01-02 Thread dmitrievanthony
Hi, I guess we have plans to support caches with binary objects in ML. Please have a look the following JIRA for details: https://issues.apache.org/jira/browse/IGNITE-10700. Best regards, Anton Dmitriev. -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: Ignite ML withKeepBinary cache

2019-01-02 Thread Denis Magda
Anton, It shouldn't be hard to support binary objects, right? Are you guys committed to releasing it with the next Ignite version? Oscar, could you please share your Ignite ML use case with us? -- Denis On Wed, Jan 2, 2019 at 7:34 AM dmitrievanthony wrote: > Hi, I guess we have plans to suppo

Re: Ignite ML withKeepBinary cache

2019-01-02 Thread otorreno
Denis, We have some metadata stored in an Ignite Cache where each row describes a certain data series, and each column is a property (could be actually of any type: strings, doubles, etc.). You can think about it as a table describing our data series. This table might be potentially quite big, giv

Re: Ignite ML withKeepBinary cache

2019-01-03 Thread Denis Magda
Oscar, Sounds like Ignite ML is a perfect fit for your task. Our ML expert will help you to come up with a clean solution once the holidays season is over. In general, will you be able to write a blog post on how Ignite ML is used for your task once the issues are addressed? -- Denis On Wed, Ja

Re: Ignite ML withKeepBinary cache

2019-01-03 Thread otorreno
Denis, That's great news! I will wait till your ML expert is back from holidays to work with him in a clean solution. Regarding the blog post, sure, it could be interesting and useful writing about how to use Ignite ML with BinaryObject caches IMHO. Thanks, Oscar -- Sent from: http://apache-i

Re: Ignite ML withKeepBinary cache

2019-01-09 Thread Alexey Zinoviev
Oscar, great use-case, and ML-related developers (me too) will happy to help you with this case. Could you please answer a three questions? 1) What kind of types (Java types or SQL types) could be in column properties? 2) Have all data series (observation) has the same schema with equal number of

Re: Ignite ML withKeepBinary cache

2019-01-10 Thread otorreno
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

Re: Ignite ML withKeepBinary cache

2019-01-10 Thread Alexey Zinoviev
Thanks a lot for the example. Will write later about keepBinary support in this thread. чт, 10 янв. 2019 г. в 13:28, otorreno : > 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 futur

Re: Ignite ML withKeepBinary cache

2019-01-21 Thread Yuriy Babak
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