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https://issues.apache.org/jira/browse/MAHOUT-1421?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13911217#comment-13911217
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jay vyas commented on MAHOUT-1421:
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After looking further into this, it appears there are some adapters, its just
that they are hidden inside of different packages. For example, there is the
org.apache.mahout.utils.vectors.io.SequenceFileVectorWriter.
Like you folks said, this task will take a while, and so im not really going to
be able to get to it for some time.
anyone else wants to give it a shot go ahead. in the meantime if I get some
free cycles ill update in this thread.
> 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
>
> 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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