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Posted to issues@ignite.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/01/21 14:34:00 UTC
[jira] [Commented] (IGNITE-7437) Partition based dataset
implementation
[ https://issues.apache.org/jira/browse/IGNITE-7437?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16333543#comment-16333543 ]
ASF GitHub Bot commented on IGNITE-7437:
----------------------------------------
GitHub user dmitrievanthony opened a pull request:
https://github.com/apache/ignite/pull/3410
IGNITE-7437 Partition based dataset implementation
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gridgain/apache-ignite ignite-7437
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/ignite/pull/3410.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 #3410
----
commit 1fd21f05fa7f288e42d19126f4d4ea9a3a7f902f
Author: dmitrievanthony <dm...@...>
Date: 2018-01-16T15:55:04Z
IGNITE-7437 Initial version of d-learn framework in ML module.
commit 104b3bb9badcea4d0d907cca39624cc84ef9544d
Author: dmitrievanthony <dm...@...>
Date: 2018-01-16T20:05:04Z
IGNITE-7437 Introduce DLearnContextTransformers into ML module.
commit 006b749e4742698f837582b3224a93468c88511e
Author: dmitrievanthony <dm...@...>
Date: 2018-01-16T20:18:39Z
IGNITE-7437 Introduce DLearnContextTransformers into ML module (fix compilation issues).
commit d8696b6210dccaa92f4de459a9590f9e0896c7db
Author: dmitrievanthony <dm...@...>
Date: 2018-01-17T08:26:52Z
IGNITE-7437 Move dataset API into d-learn context wrapper to avoid introducing an additional util classes.
commit c03e58ef67debc2a2e42bfd9f829bfe5c5a60a45
Author: dmitrievanthony <dm...@...>
Date: 2018-01-17T10:30:16Z
IGNITE-7437 Add ability to close learning context.
commit 8cdc9c516f8a248f177e4a5fe9a49b027aba96e3
Author: dmitrievanthony <dm...@...>
Date: 2018-01-17T11:28:43Z
IGNITE-7437 Reformat code and javadoc.
commit 146c0785b2c125baf3216c6dd2ad8c38fec9f5a8
Author: dmitrievanthony <dm...@...>
Date: 2018-01-17T15:20:04Z
IGNITE-7437 Add affinity tests for d-learn context factory.
commit be830a8e133facb69fd1a6166b3ca4ec6a7de25b
Author: dmitrievanthony <dm...@...>
Date: 2018-01-17T15:22:15Z
Merge branch 'master' into ignite-7437
commit 6c4f191081019c91a4b78f40bdf6f52a9f46eb47
Author: dmitrievanthony <dm...@...>
Date: 2018-01-17T16:07:08Z
IGNITE-7437 Add dataset loading examples (cache and local) for d-learn.
commit 21b648b182305c34a061e55d7d2b287165c362eb
Author: dmitrievanthony <dm...@...>
Date: 2018-01-17T16:40:12Z
IGNITE-7437 Add dataset transformation example for d-learn.
commit 87194ba42c7dd3250e0dac30dd11bb1a1283022c
Author: dmitrievanthony <dm...@...>
Date: 2018-01-19T16:21:59Z
IGNITE-7437 Use affinityCall/affinityRun in cache d-learn context
implementation to guarantee partitions reservation during computation.
commit a553f12f3fb0c3b64470d2e3002a5eb49013614c
Author: dmitrievanthony <dm...@...>
Date: 2018-01-19T16:32:10Z
IGNITE-7437 Reformat code.
commit 03a6bfe1b47a259e1cf400762dca427ab4ecf928
Author: dmitrievanthony <dm...@...>
Date: 2018-01-19T17:32:49Z
IGNITE-7437 Update Javadoc.
----
> Partition based dataset implementation
> --------------------------------------
>
> Key: IGNITE-7437
> URL: https://issues.apache.org/jira/browse/IGNITE-7437
> Project: Ignite
> Issue Type: New Feature
> Components: ml
> Reporter: Yury Babak
> Assignee: Anton Dmitriev
> Priority: Major
>
> We want to implement our dataset based on entire partition instead of key sets.
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