[jira] [Updated] (IGNITE-6642) [Umbrella] Model export/import to PMML and custom JSON format

["Maxim Muzafarov (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/IGNITE-6642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Maxim Muzafarov updated IGNITE-6642:
------------------------------------
    Labels: important  (was: )

> [Umbrella] Model export/import to PMML and custom JSON format
> -------------------------------------------------------------
>
>                 Key: IGNITE-6642
>                 URL: https://issues.apache.org/jira/browse/IGNITE-6642
>             Project: Ignite
>          Issue Type: New Feature
>          Components: ml
>            Reporter: Alexey Zinoviev
>            Assignee: Alexey Zinoviev
>            Priority: Major
>              Labels: important
>             Fix For: 2.10
>
>
>  
> We need to be able to export/import Ignite model versions across clusters with different versions and have exchangable & human-readable format for inference with different systems like scikit-learn, Spark ML and etc
> The PMML format is a good choice here: 
> PMML - Predictive Model Markup Language is XML based language which used in SPARK MLlib and others platforms.
> Here some additional info about PMML:
> (i) [http://dmg.org/pmml/v4-3/GeneralStructure.html]
>  (i) [https://github.com/jpmml/jpmml-model]
>  
> But PMML has limitation support for Ensembles like Random Forest, Gradient Boosted Trees, Stacking, Bagging and so on.
> These cases could be covered with our own JSON format which could be easily parsed in another system.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)