GitHub user davideis opened a pull request:
https://github.com/apache/spark/pull/18022
[SPARK-20790] [MLlib] Correctly handle negative values for implicit feedback
## What changes were proposed in this pull request?
Revert the handling of negative values in ALS with implicit feedback, so
that the confidence is the absolute value of the rating and the preference is 0
for negative ratings. This was the original behavior.
## How was this patch tested?
This patch was tested with the existing unit tests and an added unit test
to ensure that negative ratings are not ignored.
@mengxr
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/davideis/spark bugfix/negative-rating
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18022.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 #18022
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commit 767d72e9bd08cc251aa1df0ce56a4fb8deb9e2e6
Author: David Eis <[email protected]>
Date: 2017-05-02T21:46:29Z
Fix regression introduced by ccafd757eda478913f783f3127be715bf6413740
Revert the handling of negative values in ALS with implicit feedback and
test for regression.
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