examples/classify-20newsgroups.sh has Complimentary Naive Bayes, Naive Bayes and SGD classifiers (Options 1,2 3 respectively) Option 4 is basically a 'clean' job that cleans up your $WORK_DIR.
Which one of them wasn't clear to you? ________________________________ From: Sushanth Bhat(MT2012147) <[email protected]> To: "[email protected]" <[email protected]> Cc: Shayan NS(MT2012132) <[email protected]>; Surabhi Pandey(MT2012146) <[email protected]> Sent: Friday, August 16, 2013 10:29 AM Subject: RE: Regarding starting up our project Hello Ted, We have installed Mahout on our system. We ran examples/classify-20newsgroups.sh successfully without installing Hadoop. Is there any document which states flow of the execution? Since we found difficult to go through the shell script file. It would be great if you help us regarding the same. Regards, Sushanth Bhat IIIT-Bangalore ________________________________________ From: Ted Dunning <[email protected]> Sent: Friday, August 09, 2013 6:02 AM To: [email protected] Cc: Surabhi Pandey(MT2012146); Shayan NS(MT2012132) Subject: Re: Regarding starting up our project On Thu, Aug 8, 2013 at 1:31 PM, Sushanth Bhat(MT2012147) < [email protected]> wrote: > One more doubt I have that do we need to start our project without Mahout > library, I mean just implementing algorithm? I would suggest that Mahout would be very useful for your project. Use Maven and include Mahout math as a dependency. If you do a map-reduce implementation of neural nets, add Mahout core as well.
