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From "Yury Babak (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (IGNITE-10272) [ML] Inject learning environment into scope of dataset compute task
Date Fri, 16 Nov 2018 11:23:00 GMT

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

Yury Babak updated IGNITE-10272:
--------------------------------
    Summary: [ML] Inject learning environment into scope of dataset compute task  (was: Inject
learning environment into scope of dataset compute task)

> [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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