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https://issues.apache.org/jira/browse/MAHOUT-1541?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14052968#comment-14052968
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Hudson commented on MAHOUT-1541:
--------------------------------
SUCCESS: Integrated in Mahout-Quality #2686 (See
[https://builds.apache.org/job/Mahout-Quality/2686/])
MAHOUT-1541 backed out compatability with legacy Item Similarity, now outputs
raw LLR scores (pat: rev 24cb5576f720737b73906ebb15be486d540ac629)
* spark/src/test/scala/org/apache/mahout/cf/CooccurrenceAnalysisSuite.scala
* spark/src/main/scala/org/apache/mahout/cf/CooccurrenceAnalysis.scala
* spark/src/test/scala/org/apache/mahout/drivers/ItemSimilarityDriverSuite.scala
> Create CLI Driver for Spark Cooccurrence Analysis
> -------------------------------------------------
>
> Key: MAHOUT-1541
> URL: https://issues.apache.org/jira/browse/MAHOUT-1541
> Project: Mahout
> Issue Type: New Feature
> Components: CLI
> Reporter: Pat Ferrel
> Assignee: Pat Ferrel
>
> Create a CLI driver to import data in a flexible manner, create an
> IndexedDataset with BiMap ID translation dictionaries, call the Spark
> CooccurrenceAnalysis with the appropriate params, then write output with
> external IDs optionally reattached.
> Ultimately it should be able to read input as the legacy mr does but will
> support reading externally defined IDs and flexible formats. Output will be
> of the legacy format or text files of the user's specification with
> reattached Item IDs.
> Support for legacy formats is a question, users can always use the legacy
> code if they want this. Internal to the IndexedDataset is a Spark DRM so
> pipelining can be accomplished without any writing to an actual file so the
> legacy sequence file output may not be needed.
> Opinions?
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