Re: DatasetFactory.createSimpleDataset with a cache

2019-01-22 Thread Yuriy Babak
Mahesh,

Unfortunately no. We start to support model training over caches with
binary objects from Ignite 2.8.

This support was added by ticket
https://issues.apache.org/jira/browse/IGNITE-10700

So, for now, this option is available only for builds from the master
branch.

Best regards,
Yuriy Babak


вс, 20 янв. 2019 г. в 16:02, mahesh76private :

> In other words, for ML functions,
>
> can I use IgniteBiFunction with Key and Value as *BinaryObject*, and at the
> same time KEY_TYPE and VALUE_TYPE is not specified while creating the SQL
> table cache?
>
> Unfortunately, in our product, we have data in SQL tables, and from these
> we
> intend to create datasets and develop some ML functions with it. These SQL
> tables are generated dynamically by users.
>
>
>
>
>
> --
> Sent from: http://apache-ignite-users.70518.x6.nabble.com/
>


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.apache.ignite.examples.ml.TrainingWithBinaryObjectExample

Best regards,
Yuriy Babak


пн, 21 янв. 2019 г. в 11:13, otorreno :

> Thanks Ilya,
>
> I got the link to the JIRA ticket in the Ignite Devs mailing list. In fact
> I
> already included a comment in the ticket.
>
> I got a response from Alexey Zinoviev in the Dev list too, and I am now
> waiting to receive a further update from him on this matter.
>
> Regards,
>
>
>
> --
> Sent from: http://apache-ignite-users.70518.x6.nabble.com/
>


Re: [ML][Community] Slides (eng) and video (eng) about Ignite ML module from JFuture conference

2018-12-09 Thread Yuriy Babak
Alexey,

Good video, many thanks for your presentation. It's the big deal for
promotion of Apache Ignite ML community.

Regards,
Yuriy

ср, 5 дек. 2018 г. в 13:19, zaleslaw :

> Hi, Ignite users, if you are interested in Ignite ML functionality in new
> release 2.7 and our roadmap for the next releases, please have a look to
> this video and read the slides.
>
> I've presented new ML features on JFuture conference in Minsk in english to
> spread my words across whole world:)
>
> Please use the direct link to the  video
>   .
> Slides could be found  here
> <
> https://speakerdeck.com/zaleslaw/nuances-of-machine-learning-with-ignite-ml>
>
> .
>
> The code of example run in this video could be found in our ML tutorial:
> Read Titanic data and build the model example
> <
> https://github.com/apache/ignite/blob/master/examples/src/main/java/org/apache/ignite/examples/ml/tutorial/Step_1_Read_and_Learn.java>
>
> .
>
> P.S.: in next two months I'm going to post a few extended videos in russian
> and english based on this material from another conferences.
>
> If you have any questions about ML, running examples and so on, feel free
> to
> contact with me
>
>
>
> --
> Sent from: http://apache-ignite-users.70518.x6.nabble.com/
>