Folks, 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.
— Denis > On Apr 25, 2017, at 12:38 PM, Sergi Vladykin <[email protected]> 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 <[email protected]>: > >> 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. >>
