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From "Hudson (JIRA)" <>
Subject [jira] [Commented] (MAHOUT-1541) Create CLI Driver for Spark Cooccurrence Analysis
Date Sat, 05 Jul 2014 21:31:33 GMT


Hudson commented on MAHOUT-1541:

SUCCESS: Integrated in Mahout-Quality #2686 (See [])
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:
>             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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