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Posted to issues@ignite.apache.org by "Yury Babak (JIRA)" <ji...@apache.org> on 2018/11/16 11:22:00 UTC

[jira] [Updated] (IGNITE-10272) Inject learning environment into scope of dataset compute task

     [ https://issues.apache.org/jira/browse/IGNITE-10272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yury Babak updated IGNITE-10272:
--------------------------------
    Component/s: ml

> Inject learning environment into scope of dataset compute task
> --------------------------------------------------------------
>
>                 Key: IGNITE-10272
>                 URL: https://issues.apache.org/jira/browse/IGNITE-10272
>             Project: Ignite
>          Issue Type: Improvement
>          Components: ml
>            Reporter: Artem Malykh
>            Assignee: Artem Malykh
>            Priority: Major
>
> We want to have learing environment for each partition during training process. We need this for several reasons.
> The first one is logging training process for each partition. The second reason is having the possibility of fixing random number generator seed for tests and debugging(fixing subspace distribution, stable tests, etc...)



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