BTW Behemoth has a Mahout module which allows to generate input vectors for
the clustering. Annoyingly the Mahout classifiers have no standard
interface and expect different inputs but it wouldn't be too difficult to
hack the code in the mahout module to generate whatever input is needed for
a particular implementation of a Mahout classifier.

On 15 February 2013 16:14, Som Satpathy <[email protected]> wrote:

> Thanks for sharing your thoughts guys. I think it would be better for me to
> keep the two layers separate. The UIMA pipeline can be used to extract
> useful features. Another layer can then use those features to implement and
> generate deep learning models (via mahout/mapR jobs)
>
> Cheers
> Som
>
>
> On Fri, Feb 15, 2013 at 6:48 AM, Brian Dolan <[email protected]> wrote:
>
> > We tackled this same issue.  Ultimately, since a UIMA process is usually
> > concerned with a single document, it made more structural sense to wrap
> the
> > UIMA task within a Mapper.  That keeps the entire process within the
> > functional programming paradigm.  We also were concerned with how fragile
> > the UIMA configuration can be and it was easier to control when embedded
> > within a Mapper.  Similarly with Mahout, though we separated the two
> jobs.
> >
> >
> > On Feb 15, 2013, at 2:37 AM, Julien Nioche <
> [email protected]>
> > wrote:
> >
> > Hi
> >
> > I suppose you could expose MapReduce jobs as UIMA components but it would
> > certainly be easier to do the other way round and use e.g. Behemoth  [1]
> to
> > run the UIMA PEARs on MapReduce.
> >
> > HTH
> >
> > Julien
> >
> > [1]  https://github.com/DigitalPebble/behemoth
> >
> > On 13 February 2013 22:47, Som Satpathy <[email protected]> wrote:
> >
> > > Hi all,
> > >
> > > I have been toying around with UIMA pipelines for some time now. I was
> > > wondering if UIMA can support analysis components written as mahout
> > > map-reduce jobs as part of a UIMA pipeline ?
> > >
> > > I would appreciate any help/hints/pointers.
> > >
> > > Thanks,
> > > Som
> > >
> >
> >
> >
> > --
> > *
> > *Open Source Solutions for Text Engineering
> >
> > http://digitalpebble.blogspot.com/
> > http://www.digitalpebble.com
> > http://twitter.com/digitalpebble
> >
> >
>



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