You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@ignite.apache.org by "Alexey Zinoviev (Jira)" <ji...@apache.org> on 2020/08/20 13:41:00 UTC

[jira] [Updated] (IGNITE-11192) [ML] Use nd4j for matrix inversions and determinants

     [ https://issues.apache.org/jira/browse/IGNITE-11192?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alexey Zinoviev updated IGNITE-11192:
-------------------------------------
    Fix Version/s:     (was: 3.0)

> [ML] Use nd4j for matrix inversions and determinants
> ----------------------------------------------------
>
>                 Key: IGNITE-11192
>                 URL: https://issues.apache.org/jira/browse/IGNITE-11192
>             Project: Ignite
>          Issue Type: Improvement
>          Components: ml
>            Reporter: Alexey Platonov
>            Assignee: Alexey Zinoviev
>            Priority: Major
>
> From optimization point of view we should use matrix inversions and determinant computations of dl4j instead of own realization.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)