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From "Yury Babak (JIRA)" <j...@apache.org>
Subject [jira] [Created] (IGNITE-10480) [ML] Stacking for training and inference
Date Thu, 29 Nov 2018 16:13:00 GMT
Yury Babak created IGNITE-10480:

             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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