Hi Ignite-ML Team, I have recently discovered WEKA - a Java ML workbench and library from the University of Waikato.
I have observed that Ignite-ML is developing quickly in it's computational capabilities, but is lacking a 'workbench environment' for interactive data-science workflows. Surprisingly, I discovered an online Paper (from 2016: here <http://rdquest.com/wp-content/uploads/2016/07/Ignite-ML-Report.docx> ), which describes Apache Ignite's early ML implementation, to be rooted in the WEKA ML library. My question is thus: Is there any possibility in exploring an integration between Ignite-ML and WEKA's workbench? (It would be great to leverage WEKA's interactive exploratory, visualization and workflow capabilities with Ignite-ML's distributed computational capabilities...) Or is this concept completely irrational and impractical? Looking forward to feedback from the talented Ignite-ML gurus! Thanks, Jose -- Sent from: http://apache-ignite-users.70518.x6.nabble.com/
