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https://issues.apache.org/jira/browse/MAHOUT-1421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sebastian Schelter resolved MAHOUT-1421.
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    Resolution: Won't Fix

I'm against keeping jira's open for too long. We've had very bad experiences 
with this (issues lingering around for ages). I think that the scope of this 
issue might simply be too broad.

I'm closing this one as it aims to create adapters for *all* mahout tools. It 
would be great if you could start with a specific single algorithm/family of 
algorithms and create a new issue for that. Hope that makes sense too you.

> 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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