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