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https://issues.apache.org/jira/browse/MAHOUT-1464?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14031177#comment-14031177
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ASF GitHub Bot commented on MAHOUT-1464:
----------------------------------------
Github user pferrel commented on a diff in the pull request:
https://github.com/apache/mahout/pull/18#discussion_r13771890
--- Diff:
spark/src/test/scala/org/apache/mahout/cf/CooccurrenceAnalysisSuite.scala ---
@@ -118,8 +118,8 @@ class CooccurrenceAnalysisSuite extends FunSuite with
MahoutSuite with MahoutLoc
}
test("cooccurrence [A'A], [B'A] integer data using LLR") {
- val a = dense((1000, 10, 0, 0, 0), (0, 0, 10000, 10, 0), (0, 0, 0, 0,
100), (10000, 0, 0, 1000, 0))
- val b = dense((100, 1000, 10000, 10000, 0), (10000, 1000, 100, 10, 0),
(0, 0, 10, 0, 100), (10, 100, 0, 1000, 0))
+ val a = dense((1000, 10, 0, 0, 0), (0, 0, -10000, 10, 0), (0, 0, 0, 0,
100), (10000, 0, 0, 1000, 0))
--- End diff --
We may want to check for illegal values at some place in the pipeline. This
is here so I don't forget. At present a negative value is legal. If we make it
illegal I want this to fail.
> 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.
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