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Posted to dev@ignite.apache.org by "Aleksey Zinoviev (JIRA)" <ji...@apache.org> on 2018/09/13 15:45:00 UTC
[jira] [Created] (IGNITE-9587) [ML] Umbrella ticket: Handle
different labels in training data and handle unknown labels in test or
updated training data correctly
Aleksey Zinoviev created IGNITE-9587:
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Summary: [ML] Umbrella ticket: Handle different labels in training data and handle unknown labels in test or updated training data correctly
Key: IGNITE-9587
URL: https://issues.apache.org/jira/browse/IGNITE-9587
Project: Ignite
Issue Type: New Feature
Reporter: Aleksey Zinoviev
Assignee: Aleksey Zinoviev
The problem is that all algorithms of binary classification are ready to handle the datasets marked with 0/1 labels and predict 0/1 labels without especial mapping.
Also the algorithms don't handle situation with unknown labels during the updating and testing phases
Possible solution: it could be stored in context of ML training
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