On Fri, 13 Aug 2010 Joe Kumar <[email protected]> wrote: > I am thinking of starting off with 1 classification (probably Naive > Bayes) and create a template for the documentation like > 1. Overview of the Algo > 2. I/P data set (how to prepare and sample data set) > 3. Maybe a sequence diagram explaining how the code flow happens (or > any other way of representing this info ??) > 4. O/P (how to read the o/p model and apply it for a real-world > classification problem)
You might also want to have a look at our Quickstart and Algorihtms pages in the wiki and potentially simply extend those: Quickstart: https://cwiki.apache.org/MAHOUT/quickstart.html Classification Overview: https://cwiki.apache.org/MAHOUT/classifyingyourdata.html Brief explanation of Naive Bayes including links to examples: https://cwiki.apache.org/MAHOUT/bayesian.html Isabel
