I'd say work your way through that class and follow along with what it does; I don't know of any documents like that beyond the code and what's on the Mahout web site at http://mahout.apache.org.
On Wednesday, February 3, 2016, Mahmood Naderan <nt_mahm...@yahoo.com> wrote: > Really thanks for that. I am getting closer to what I was searching for... > Is there any high level document about the procedure of the classifier > (using map reduce) after the training phase. For example: > 1- Reading chunks > 2- Sorting each chunk > 3-... > > I didn't find such an example on the web. Maybe I used wrong key words. > The only thing I though is related to my work is > > https://github.com/fredang/mahout-naive-bayes-example/blob/master/src/main/java/com/chimpler/example/bayes/Classifier.java > > Do you confirm that? Do you think that is what I am looking for? > > Regards, > Mahmood > > > On Wednesday, February 3, 2016 10:59 PM, Andrew Musselman < > andrew.mussel...@gmail.com <javascript:;>> wrote: > > > > Here are a bunch > https://github.com/apache/mahout/tree/master/math/src/main/java/org/apache/mahout/math > > Large matrices are typical, often on the order of hundreds of thousands to > millions of rows and hundreds of columns. >
