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https://issues.apache.org/jira/browse/IGNITE-10371?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16713183#comment-16713183
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ASF GitHub Bot commented on IGNITE-10371:
-----------------------------------------

GitHub user zaleslaw opened a pull request:

    https://github.com/apache/ignite/pull/5612

    IGNITE-10371: [ML] Add multiple metrics calculation fo Binary 
Classification Evaluation process

    

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/gridgain/apache-ignite ignite-10371

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/ignite/pull/5612.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #5612
    
----
commit 319f092a96afe1f05e08803acec422e81410e499
Author: Zinoviev Alexey <zaleslaw.sin@...>
Date:   2018-12-07T18:22:55Z

    IGNITE-10371: Added examples and multiple metrics

commit 161937f0c197870aef8aa7cf50f4732bbef0d343
Author: Zinoviev Alexey <zaleslaw.sin@...>
Date:   2018-12-07T18:30:16Z

    IGNITE-10371: Fixed docs

commit e9f17e6827a0e38548923a9f26388e2d29eb1400
Author: Zinoviev Alexey <zaleslaw.sin@...>
Date:   2018-12-07T18:39:08Z

    IGNITE-10371: Fixed files

----


> [ML] Add multiple metrics calculation fo Binary Classification Evaluation 
> process
> ---------------------------------------------------------------------------------
>
>                 Key: IGNITE-10371
>                 URL: https://issues.apache.org/jira/browse/IGNITE-10371
>             Project: Ignite
>          Issue Type: New Feature
>          Components: ml
>    Affects Versions: 2.8
>            Reporter: Aleksey Zinoviev
>            Assignee: Aleksey Zinoviev
>            Priority: Critical
>             Fix For: 2.8
>
>
> Add ability to get map of metrics to evaluate binary classification.
> Try to implement: All implemented metrics should be calculated for one 
> iteration cycle along the data
> Naive implementation: compose all passed metrics and calculate them separatly



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