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Posted to issues@ignite.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/03/07 11:21:00 UTC

[jira] [Commented] (IGNITE-7897) Add example of using LSQR with data normalization

    [ https://issues.apache.org/jira/browse/IGNITE-7897?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16389412#comment-16389412 ] 

ASF GitHub Bot commented on IGNITE-7897:
----------------------------------------

GitHub user dmitrievanthony opened a pull request:

    https://github.com/apache/ignite/pull/3614

    IGNITE-7897 Add example for LSQR with data normalization.

    

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

    $ git pull https://github.com/gridgain/apache-ignite ignite-7897

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

    https://github.com/apache/ignite/pull/3614.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 #3614
    
----
commit 77890d9b1880cc94954b23973c2aee0bcb8847a5
Author: Anton Dmitriev <dm...@...>
Date:   2018-03-07T11:17:47Z

    IGNITE-7897 Add example for LSQR with data normalization.

----


> Add example of using LSQR with data normalization
> -------------------------------------------------
>
>                 Key: IGNITE-7897
>                 URL: https://issues.apache.org/jira/browse/IGNITE-7897
>             Project: Ignite
>          Issue Type: Improvement
>            Reporter: Anton Dmitriev
>            Assignee: Anton Dmitriev
>            Priority: Major
>
> Currently we have an LSQR linear regression example (see [here|https://github.com/apache/ignite/blob/master/examples/src/main/java/org/apache/ignite/examples/ml/regression/linear/DistributedLinearRegressionWithLSQRTrainerExample.java]) and a normalization procedure example (see [here|https://github.com/apache/ignite/blob/master/examples/src/main/java/org/apache/ignite/examples/ml/preprocessing/NormalizationExample.java]).
> For better understanding we'd like to add an example that includes data normalization and LSQR linear regression in the same time.



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