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https://issues.apache.org/jira/browse/IGNITE-8176?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16432184#comment-16432184
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ASF GitHub Bot commented on IGNITE-8176:
GitHub user dmitrievanthony opened a pull request:
https://github.com/apache/ignite/pull/3787
IGNITE-8176 Integrate gradient descent linear regression with partition
based dataset
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gridgain/apache-ignite ignite-8176
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/ignite/pull/3787.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 #3787
commit 30751f300b32d176dd888fbf99823da6e1da69bd
Author: Anton Dmitriev
Date: 2018-04-10T10:24:34Z
IGNITE-8176 Initial version of SGD linear regression based on MLP.
> Integrate gradient descent linear regression with partition based dataset
> -
>
> Key: IGNITE-8176
> URL: https://issues.apache.org/jira/browse/IGNITE-8176
> Project: Ignite
> Issue Type: Improvement
> Components: ml
>Affects Versions: 2.5
>Reporter: Anton Dmitriev
>Assignee: Anton Dmitriev
>Priority: Major
>
> A partition based dataset (new underlying infrastructure component) was added
> as part of IGNITE-7437 and now we need to adopt gradient descent linear
> regression algorithm to work on top of this infrastructure.
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