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https://issues.apache.org/jira/browse/FLINK-3330?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15132430#comment-15132430
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ASF GitHub Bot commented on FLINK-3330:
---------------------------------------
GitHub user tillrohrmann opened a pull request:
https://github.com/apache/flink/pull/1587
[FLINK-3330] [ml] Fix SparseVector support in GradientDescent
The GradientDescent implementation did not work with sparse input data
because it requires the gradient to be dense. This patch makes sure that
the gradient sum is always dense.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/tillrohrmann/flink fixSparseGradientDescent
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/1587.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 #1587
----
commit 3eb72b8674e082d8d78445a282bea09921103a08
Author: Till Rohrmann <[email protected]>
Date: 2016-02-04T15:13:10Z
[FLINK-3330] [ml] Fix SparseVector support in GradientDescent
The GradientDescent implementation did not work with sparse input data
because it requires the gradient to be dense. This patch makes sure that
the gradient sum is always dense.
----
> Add SparseVector support to BLAS library in FlinkML
> ---------------------------------------------------
>
> Key: FLINK-3330
> URL: https://issues.apache.org/jira/browse/FLINK-3330
> Project: Flink
> Issue Type: Improvement
> Components: Machine Learning Library
> Affects Versions: 1.0.0
> Reporter: Chiwan Park
> Assignee: Chiwan Park
>
> A user reported the problem using {{GradientDescent}} algorithm with
> {{SparseVector}}.
> (http://mail-archives.apache.org/mod_mbox/flink-user/201602.mbox/%3CCAMJxVsiNRy_B349tuRpC%2BY%2BfyW7j2SHcyVfhqnz3BGOwEHXHpg%40mail.gmail.com%3E)
> It seems lack of SparseVector support in {{BLAS.axpy}}.
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