Upgrading from 0.6 and ClassifierContext

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

Berlin Buzzwords 2014: CfP is open

I'm super happy to announce that the call for submissions for Berlin Buzzwords 2013 is open. For those who don't know the conference - in my "absolutely objective opinion" the event is the most exciting conference on storing, processing and searching large amounts of digital data for engineers. Th

Proposal

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

Cross Recommender Proposal

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

Classify Handwritten Digits

Hi, I am trying to classify handwritten digits using mahout classification. Any suggestion to come up with good solution? -- Thanks, Chameera

Re: Classify Handwritten Digits

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

Re: Classify Handwritten Digits

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

Re: Classify Handwritten Digits

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

Re: Using setPreference() to update recommendations in DataModel in Memory

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