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From "Oleg Ignatenko (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (IGNITE-5059) Implement logistic regression
Date Mon, 09 Oct 2017 15:42:00 GMT

    [ https://issues.apache.org/jira/browse/IGNITE-5059?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16197168#comment-16197168
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Oleg Ignatenko commented on IGNITE-5059:
----------------------------------------

Hi [~vladisav], this ticket appears dormant for over 5 months now and I would like to assign
it to myself and try implementing this feature. If you would prefer to keep it for yourself,
please let me know.

The reason why I picked it among other ML tickets that are currently opened is I checked current
feature set in Ignite ML Grid and this one looks like quite a desired feature because it would
nicely complement linear regression that was integrated per IGNITE-5012.

I plan to start working on this in a day or two from now, after I complete IGNITE-5535.

> Implement logistic regression 
> ------------------------------
>
>                 Key: IGNITE-5059
>                 URL: https://issues.apache.org/jira/browse/IGNITE-5059
>             Project: Ignite
>          Issue Type: New Feature
>          Components: ml
>            Reporter: Vladisav Jelisavcic
>            Assignee: Vladisav Jelisavcic
>              Labels: important
>
> Implement logistic regression using ignite ml.math. Model should be able to incorporate
L1 and L2 regularization. 
> Model should also work with stochastic gradient descent (SGD) as well as batch and mini-batch
gradient descent optimization algorithms.  



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