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From "Yury Babak (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (IGNITE-10479) [ML] Umbrella: Ensemble training and inference
Date Thu, 29 Nov 2018 16:13:00 GMT

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

Yury Babak reassigned IGNITE-10479:

    Assignee: 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: Yury Babak
>            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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