Hi,
I'm upgrading some classification code from 0.6 to 0.8 and am wondering what
the replacement is for the ClassifierContext?
Thanks,
Grant
I'm super happy to announce that the call for submissions for Berlin
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my "absolutely objective opinion" the event is the most exciting
conference on storing, processing and searching large amounts of
digital data for engineers.
Th
Part of the solr-recommender project is a cross-recomender based on Mahout. It
uses the mapreduce version of the RecommenderJob as a template and implements
an XRecommenderJob. Unfortunately the key part of the algorithm—the part
handled by RowSimilarityJob—is done with simple matrix multiply. T
Part of the solr-recommender project is a cross-recommender based on Mahout. It
uses the mapreduce version of the RecommenderJob as a template and implements
an XRecommenderJob. Unfortunately the key part of the algorithm—the part
handled by RowSimilarityJob—is done with a simple matrix multiply
Hi,
I am trying to classify handwritten digits using mahout classification. Any
suggestion to come up with good solution?
--
Thanks,
Chameera
This is a pretty classic machine learning problem and can be handled with
several different algorithms. Logistic regression is the obvious choice,
but clustering algorithms will work fine also. Just decompose the pixels
into a really long vector and train your algorithm with the input-output
pair
Hi Angus,
Thank you for your detailed explanation.
I have already implemented neural network approach and had success rate.
And at the moment the requirement of doing this is getting familiar with
mahout. Are there any tutorial about K -means or logistic regression with
mahout?
Thank,
Chamee
On Fri, Jan 24, 2014 at 9:50 AM, Angus Macnab wrote:
> This is a pretty classic machine learning problem and can be handled with
> several different algorithms. Logistic regression is the obvious choice,
> but clustering algorithms will work fine also. Just decompose the pixels
> into a really l
Sean Owen gmail.com> writes:
>
> It throws an exception except in a few implementations, mostly the
> ones based on a database. It isn't something that's really used -- you
> instead update the backing store indirectly. Yes, the model is batch
> re-reads of data once in a while. Updates are not