[jira] [Commented] (MAHOUT-1604) Create a RowSimilarity for Spark

["Hudson (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-1604?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14121680#comment-14121680 ] 

Hudson commented on MAHOUT-1604:
--------------------------------

SUCCESS: Integrated in Mahout-Quality #2779 (See [https://builds.apache.org/job/Mahout-Quality/2779/])
MAHOUT-1604, MAHOUT-1541 changes all reference to positon in the CLI to columns (pat: rev e24c4afb699c2930d372c701fe2de874a2a2f6c0)
* spark/src/main/scala/org/apache/mahout/drivers/Schema.scala
* spark/src/test/scala/org/apache/mahout/drivers/ItemSimilarityDriverSuite.scala
* spark/src/main/scala/org/apache/mahout/drivers/ItemSimilarityDriver.scala
* spark/src/main/scala/org/apache/mahout/drivers/MahoutOptionParser.scala
* spark/src/main/scala/org/apache/mahout/drivers/TextDelimitedReaderWriter.scala


> Create a RowSimilarity for Spark
> --------------------------------
>
>                 Key: MAHOUT-1604
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1604
>             Project: Mahout
>          Issue Type: Bug
>          Components: CLI
>    Affects Versions: 1.0
>         Environment: Spark
>            Reporter: Pat Ferrel
>            Assignee: Pat Ferrel
>
> Using CooccurrenceAnalysis.cooccurrence create a driver that reads a text DRM or two and produces LLR similarity/cross-similarity matrices.
> This will produce the same results as ItemSimilarity but take a Drm as input instead of individual cells.
> The first version will only support LLR, other similarity measures will need to be in separate Jiras



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