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https://issues.apache.org/jira/browse/MAHOUT-1541?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13988488#comment-13988488
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Pat Ferrel commented on MAHOUT-1541:
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progress can be followed here: https://github.com/pferrel/harness

nothing much checked in except an option parser in the POM (scopt MIT license) 
and skeleton for the driver.

> Create CLI Driver for Spark Cooccurrence Analysis
> -------------------------------------------------
>
>                 Key: MAHOUT-1541
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1541
>             Project: Mahout
>          Issue Type: Bug
>          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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