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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (IGNITE-8840) Random Forest
Date Mon, 25 Jun 2018 10:27:00 GMT

    [ https://issues.apache.org/jira/browse/IGNITE-8840?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16522122#comment-16522122

ASF GitHub Bot commented on IGNITE-8840:

GitHub user avplatonov opened a pull request:


    IGNITE-8840: Random Forest

    Implementation of bagging classification logic and random forest regression/classification
based on it

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

    $ git pull https://github.com/gridgain/apache-ignite ignite-8840

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


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

    This closes #4251
commit c62bb6c4ea095efbf7ba81c864e3fd619800ee35
Author: gridgain <gridgain@...>
Date:   2018-06-22T10:17:16Z

    first iteration

commit b8ea97355de90d96f0e4de04122c84b4e7710dd4
Author: gridgain <gridgain@...>
Date:   2018-06-22T11:18:18Z

    second iteration - create abstract BaggingClassifier

commit 7006cc58cce08f2d7511f441050d9bb8c35eba54
Author: gridgain <gridgain@...>
Date:   2018-06-22T14:53:47Z

    add tests for trainers and classifier example, add copyright headers

commit e3f15e5be02a44ee59d3809d662167aab9dea14e
Author: gridgain <gridgain@...>
Date:   2018-06-25T08:52:24Z

    add threadpool and regression example

commit 17e26ffe0ebc2ca0372938733a67a28dca645552
Author: gridgain <gridgain@...>
Date:   2018-06-25T10:09:13Z

    add tests to aggreagators and add comments and formatting for ml.composition classes

commit 023046dc5a0681166e569b402eea6c7f9254f07d
Author: gridgain <gridgain@...>
Date:   2018-06-25T10:21:06Z

    add comments and formatting for ml.composition classes


> Random Forest
> -------------
>                 Key: IGNITE-8840
>                 URL: https://issues.apache.org/jira/browse/IGNITE-8840
>             Project: Ignite
>          Issue Type: New Feature
>          Components: ml
>            Reporter: Yury Babak
>            Assignee: Alexey Platonov
>            Priority: Major
>             Fix For: 2.7
> We want to implement random forest algorithm. It should be based on our implementation
of decision trees.

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