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Posted to issues@ignite.apache.org by "Alexey Platonov (JIRA)" <ji...@apache.org> on 2019/02/18 10:24:00 UTC

[jira] [Resolved] (IGNITE-10545) [ML] Kullback–Leibler divergence

     [ https://issues.apache.org/jira/browse/IGNITE-10545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alexey Platonov resolved IGNITE-10545.
--------------------------------------
    Resolution: Won't Fix

In my opinion this task is redundant because Kullback-Leibler divergence in most cases are theoretical metric used as target for classifiers. From requirement of apriori distribution for metric computing point of view this task can be closed with status 'won't fix'.

> [ML] Kullback–Leibler divergence
> --------------------------------
>
>                 Key: IGNITE-10545
>                 URL: https://issues.apache.org/jira/browse/IGNITE-10545
>             Project: Ignite
>          Issue Type: New Feature
>          Components: ml
>            Reporter: Yury Babak
>            Assignee: Alexey Platonov
>            Priority: Major
>
> For comparing several distributions we need to implement such metric.
>  
> [wiki link|https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence]



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