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ASF GitHub Bot commented on MAHOUT-1464: ---------------------------------------- Github user dlyubimov commented on a diff in the pull request: https://github.com/apache/mahout/pull/12#discussion_r13711381 --- Diff: math-scala/src/main/scala/org/apache/mahout/math/scalabindings/MatrixOps.scala --- @@ -188,4 +188,8 @@ object MatrixOps { def apply(f: Vector): Double = f.sum } + private def vectorCountFunc = new VectorFunction { + def apply(f: Vector): Double = f.aggregate(Functions.PLUS, Functions.greater(0)) + } + } --- End diff -- it looks like, to me. don't have time to look in depth. but distributed code definitely counts non-negatives with explicit inline conditional >0 > Cooccurrence Analysis on Spark > ------------------------------ > > Key: MAHOUT-1464 > URL: https://issues.apache.org/jira/browse/MAHOUT-1464 > Project: Mahout > Issue Type: Improvement > Components: Collaborative Filtering > Environment: hadoop, spark > Reporter: Pat Ferrel > Assignee: Pat Ferrel > Fix For: 1.0 > > Attachments: MAHOUT-1464.patch, MAHOUT-1464.patch, MAHOUT-1464.patch, > MAHOUT-1464.patch, MAHOUT-1464.patch, MAHOUT-1464.patch, run-spark-xrsj.sh > > > Create a version of Cooccurrence Analysis (RowSimilarityJob with LLR) that > runs on Spark. This should be compatible with Mahout Spark DRM DSL so a DRM > can be used as input. > Ideally this would extend to cover MAHOUT-1422. This cross-cooccurrence has > several applications including cross-action recommendations. -- This message was sent by Atlassian JIRA (v6.2#6252)