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[SPARK-18235][ML] ml.ALSModel function parity: ALSModel should support recommendforAll - #15762
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hhbyyh wants to merge 2 commits into
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[SPARK-18235][ML] ml.ALSModel function parity: ALSModel should support recommendforAll#15762hhbyyh wants to merge 2 commits into
hhbyyh wants to merge 2 commits into
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hhbyyh
commented
Nov 4, 2016
ContributorAuthor
The function requirement also comes from mailing-list: http://apache-spark-developers-list.1001551.n3.nabble.com/Question-about-using-collaborative-filtering-in-MLlib-td19677.html. |
SparkQA
commented
Nov 4, 2016
Test build #68098 has finished for PR 15762 at commit
|
sethah
commented
Nov 4, 2016
Contributor
Looks like a duplicate of #12574 ? |
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What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-18235
For function parity with MatrixFactorizationModel, ALS model should support API:
recommendUsersForProducts
recommendProductsForUsers
I try to avoid code duplication by invoking the MLlib MatrixFactorizationModel directly.
How was this patch tested?
new test case