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https://issues.apache.org/jira/browse/MAHOUT-1421?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13967840#comment-13967840
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jay vyas commented on MAHOUT-1421:
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Hi sebastian. I the other docs JIRAs, like MAHOUT-1441 , are sort of blocking
me. for example:
- Its not clear from the code what the right way to put adapters around
Existing Recommenders.
- There are still some remaining documentation holes in the clusterers (i.e.
MAHOUT-1441).
So I think its good to keep this JIRA open, but first we will need to let the
docs catch up, what do you think?
> Adapter package for all mahout tools
> ------------------------------------
>
> Key: MAHOUT-1421
> URL: https://issues.apache.org/jira/browse/MAHOUT-1421
> Project: Mahout
> Issue Type: Improvement
> Reporter: jay vyas
> Fix For: 1.0
>
>
> Hi mahout. I'd like to create an umbrella JIRA for allowing more runtime
> flexibility for reading different types of input formats for all mahout
> tasks.
> Specifically, I'd like to start with the FreeTextRecommenderAdapeter, which
> typically requires:
> 1) Hashing text entries into numbers
> 2) Saving the large transformed file on disk
> 3) Feeding it into classifieer
> Instead, we could build adapters into the classifier itself, so that the user
> 1) Specifies input file to recommender
> 2) Specifies transformation class which converts each record of input to 3
> column recommender format
> 3) Runs internal mahout recommender directly against the data
> And thus the user could easily run mahout against existing data without
> having to munge it to much.
> This package might be called something like "org.apache.mahout.adapters", and
> would over time provide flexible adapters to the core mahout algorithm
> implementations, so that folks wouldnt have to worry so much about
> vectors/csv transformers/etc...
> Any thoughts on this? If positive feedback I can submit an initial patch to
> get things started.
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