[jira] [Commented] (IGNITE-5059) Implement logistic regression

["Oleg Ignatenko (JIRA)" <ji...@apache.org>]

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

Oleg Ignatenko commented on IGNITE-5059:
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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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