GitHub user sbourke opened a pull request:
https://github.com/apache/spark/pull/3536
[MLLIB][SPARK-4675] Find similar products and similar users in
MatrixFactorizationModel
Using the latent feature space that is learnt in MatrixFactorizationModel,
I have added 2 new functions to find similar products and similar users. A user
of the API can for example pass a product ID, and get the closest products
based on the feature space.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sbourke/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/3536.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 #3536
----
commit 956ca1b86aacb22fabd52740ce0c6fef5524bae8
Author: Senior Stefano El Bour-que <[email protected]>
Date: 2014-11-28T08:40:40Z
added functionality to find similar users and similar products
commit 12e6b6b3a2cbfa1baa29449396e7e85bed1dec56
Author: Steven Bourke <[email protected]>
Date: 2014-11-30T23:22:46Z
added unit test to make sure id isnt teh same
----
---
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]
