Isn’t it to early to dig into DSL implementation? I would take this path only after Ignite supports basic algorithms used for ML and predictive analysis so that people can use it somehow. Then depending on a feedback we might need to start on this task.
> On Apr 25, 2017, at 12:38 PM, Sergi Vladykin <
[hidden email]> wrote:
>
> I'm a bit out of the loop with ML and Web console, but Java scripting
> engines as in JSR-233 are supported in Java 7. You can use JSR-233 API in
> Web Console, implementation will be in IgniteML module, which requires Java
> 8 anyways. This way they will be decoupled.
>
> Does this work for you?
>
> Sergi
>
> 2017-04-25 21:12 GMT+03:00 Yury Babak <
[hidden email]>:
>
>> Hi all!
>>
>> Currently I'm working on adding scripting support for Ignite
>> ML(IGNITE-5065). The basic idea is to provide possibility to create and run
>> some scripts with ML algorithms over Ignite cluster using Ignite ML API and
>> JS/Python as script language.
>>
>> I’ve exchanged several thoughts with Alexey K., Ignite web console
>> maintainer and according to him it's okey to add this feature to
>> web-console
>> module.
>>
>> In this case we should add dependency to Ignite ML which require Java8.
>>
>> On the other hand we could create new UI module for this purpose but it
>> will
>> require additional time for development separate ml web console.
>>
>> If anyone know addition pros/cons for both ways - please advise.
>>
>> Thanks,
>> Yury Babak.
>>
>>
>>
>> --
>> View this message in context:
http://apache-ignite->> developers.2346864.n4.nabble.com/Ignite-ML-DSL-Scripting-
>> IGNITE-5065-tp17216.html
>> Sent from the Apache Ignite Developers mailing list archive at Nabble.com.
>>
Locked
