GitHub user mengxr opened a pull request:
https://github.com/apache/spark/pull/5312
[SPARK-6651][MLLIB] delegate dense vector arithmetics to the underlying
numpy array
Users should be able to use numpy operators directly on dense vectors.
@davies @atalwalkar
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/mengxr/spark SPARK-6651
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/5312.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 #5312
----
commit 98534af2e977a62bf7a130d74d5fe88cc0c5069a
Author: Xiangrui Meng <[email protected]>
Date: 2015-04-01T17:18:08Z
delegate dense vector arithmetics to the underlying numpy array
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
