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 2019/01/29 11:12:00 UTC
[jira] [Comment Edited] (IGNITE-10955) [ML] Migrate boosting
implementation to sequential trainers composition combinator
[ https://issues.apache.org/jira/browse/IGNITE-10955?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16754883#comment-16754883 ]
Artem Malykh edited comment on IGNITE-10955 at 1/29/19 11:11 AM:
-----------------------------------------------------------------
Current implementation of boosting appears to be more readable in the state as it is currently implemented. The problem with migration is that training in boosting is sequential while models composition is parallel with weighted aggregator. It is possible to extend sequential trainer composition to output some general composition with specification of this composition producer, but for me it seems more cumbersome than it is currently implemented in GDB. But work that has been done related to this feature and that maybe be helpful in future is extracted into a separate ticket (IGNITE-111222).
was (Author: amalykh):
Current implementation of boosting appears to be more readable in the state as it is currently implemented. The problem with migration is that training in boosting is sequential while models composition is parallel with weighted aggregator. It is possible to extend sequential trainer composition to output some general composition with specification of this composition producer, but for me it seems more cumbersome than it is currently implemented in GDB. But work that has been done related to this feature and that maybe be helpful in future is extracted into a separate ticket (IGNITE-111222).
> [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
> Priority: Major
>
> 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)