Sean Owen 82d209d43f SPARK-2768 [MLLIB] Add product, user recommend method to MatrixFactorizationModel ... Right now, `MatrixFactorizationModel` can only predict a score for one or more `(user,product)` tuples. As a comment in the file notes, it would be more useful to expose a recommend method, that computes top N scoring products for a user (or vice versa – users for a product). (This also corrects some long lines in the Java ALS test suite.) As you can see, it's a little messy to access the class from Java. Should there be a Java-friendly wrapper for it? with a pointer about where that should go, I could add that. Author: Sean Owen <srowen@gmail.com> Closes #1687 from srowen/SPARK-2768 and squashes the following commits: b349675 [Sean Owen] Additional review changes c9edb04 [Sean Owen] Updates from code review 7bc35f9 [Sean Owen] Add recommend methods to MatrixFactorizationModel		2014-08-01 07:32:53 -07:00
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src	SPARK-2768 [MLLIB] Add product, user recommend method to MatrixFactorizationModel	2014-08-01 07:32:53 -07:00
pom.xml	SPARK-2749 [BUILD]. Spark SQL Java tests aren't compiling in Jenkins' Maven builds; missing junit:junit dep	2014-07-30 15:04:33 -07:00