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Posted to issues@ignite.apache.org by "Alexey Zinoviev (Jira)" <ji...@apache.org> on 2019/10/08 10:10:00 UTC

[jira] [Assigned] (IGNITE-10479) [ML] Umbrella: Ensemble training and inference

     [ https://issues.apache.org/jira/browse/IGNITE-10479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alexey Zinoviev reassigned IGNITE-10479:
----------------------------------------

    Assignee: Alexey Zinoviev  (was: Yury Babak)

> [ML] Umbrella: Ensemble training and inference
> ----------------------------------------------
>
>                 Key: IGNITE-10479
>                 URL: https://issues.apache.org/jira/browse/IGNITE-10479
>             Project: Ignite
>          Issue Type: New Feature
>          Components: ml
>            Reporter: Yury Babak
>            Assignee: Alexey Zinoviev
>            Priority: Major
>
> We want to unify API/usage of any ensembles of models.
> Currently we already have only boosting and bagging and we want to implement stacking.
> Stacking is an ensemble learning technique that combines multiple classification or regression models via a meta-classifier or a meta-regressor. The base level models are trained based on a complete training set, then the meta-model is trained on the outputs of the base level model as features.



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