[
https://issues.apache.org/jira/browse/FLINK-1716?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14386820#comment-14386820
]
ASF GitHub Bot commented on FLINK-1716:
---------------------------------------
GitHub user tillrohrmann opened a pull request:
https://github.com/apache/flink/pull/545
[FLINK-1716] Adds CoCoA algorithm
This PR adds the CoCoA algorithm using l2-norm and hinge-loss functions.
Thus, it can be used to train soft-margin SVM.
This PR is based on #539 and #543.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/tillrohrmann/flink cocoa
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/545.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 #545
----
commit 4c18940bf14f376cdb339d908324e5f2cd4593ad
Author: Till Rohrmann <[email protected]>
Date: 2015-03-25T14:27:58Z
[FLINK-1718] [ml] Adds sparse matrix and sparse vector types
commit f3d021febf0e7796a1f250c2e693d7f9dcbc36e1
Author: Till Rohrmann <[email protected]>
Date: 2015-03-26T16:44:17Z
[ml] Adds convenience functions for Breeze matrix/vector conversion
[ml] Adds breeze to flink-dist LICENSE file
[ml] Optimizes sanity checks in vector/matrix accessors
[ml] Fixes scala check style error with missing whitespaces before and
after +
[ml] Fixes DenseMatrixTest
commit be8ca43b5f11c789b2acfe38127ed542cdea3cd3
Author: Till Rohrmann <[email protected]>
Date: 2015-03-28T17:31:02Z
[FLINK-1717] [ml] Adds support to directly read libSVM and SVMLight files
commit 850d5880be0c7e484fa14e92b8af61dd5ceb6d4f
Author: Till Rohrmann <[email protected]>
Date: 2015-03-12T15:52:45Z
[FLINK-1716] [ml] Adds CoCoA algorithm
[ml] Adds web documentation and code comments to CoCoA
[ml] Adds comments
----
> Add CoCoA algorithm to flink-ml
> -------------------------------
>
> Key: FLINK-1716
> URL: https://issues.apache.org/jira/browse/FLINK-1716
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Assignee: Till Rohrmann
> Labels: ML
>
> Add the communication efficient distributed dual coordinate ascent algorithm
> to the flink machine learning library. See
> [CoCoA|http://arxiv.org/pdf/1409.1458.pdf] for the implementation details.
> I propose to first implement it with hinge loss and l2-norm. This way, it
> will allow us to train SVMs in parallel.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
