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https://issues.apache.org/jira/browse/IGNITE-10479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexey Zinoviev updated IGNITE-10479:
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Fix Version/s: 3.0
> [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: Alexey Zinoviev
> Assignee: Alexey Zinoviev
> Priority: Major
> Fix For: 3.0
>
>
> 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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