You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@ignite.apache.org by "Artem Malykh (JIRA)" <ji...@apache.org> on 2019/01/16 12:58:00 UTC
[jira] [Created] (IGNITE-10955) [ML] Migrate boosting
implementation to sequential trainers composition combinator
Artem Malykh created IGNITE-10955:
-------------------------------------
Summary: [ML] Migrate boosting implementation to sequential trainers composition combinator
Key: IGNITE-10955
URL: https://issues.apache.org/jira/browse/IGNITE-10955
Project: Ignite
Issue Type: Improvement
Components: ml
Affects Versions: 2.8
Reporter: Artem Malykh
Assignee: Artem Malykh
There are two trainers composition primitives which are used in other ensemble training methods (Bagging and Stacking) implementation. To unify implementation I suggest to rewrite impl of boosting using these composition primitives as well.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)