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Posted to dev@ignite.apache.org by "Yury Babak (JIRA)" <ji...@apache.org> on 2018/11/29 16:13:00 UTC

[jira] [Created] (IGNITE-10480) [ML] Stacking for training and inference

Yury Babak created IGNITE-10480:
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             Summary: [ML] Stacking for training and inference
                 Key: IGNITE-10480
                 URL: https://issues.apache.org/jira/browse/IGNITE-10480
             Project: Ignite
          Issue Type: New Feature
          Components: ml
            Reporter: Yury Babak
            Assignee: Artem Malykh


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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