Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/8700#discussion_r39292344
--- Diff: python/pyspark/mllib/recommendation.py ---
@@ -156,6 +162,18 @@ def recommendProducts(self, user, num):
"""
return list(self.call("recommendProducts", user, num))
+ def recommendProductsForUsers(self, num):
+ """
+ Recommends topK products for all users.
+ """
+ return self.call("recommendProductsForUsers", num)
--- End diff --
It won't work because it will return `scala.Tuple2`. We need to add a
helper on the Scala side to make it work. Using `DataFrame` should work.
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