Mahout Naive Bayes CSV Classification

Question

I have these 2 CSV files:

1. train-set.csv
2. test-set.csv

Both of them are in the same structure (with different content) and similar to this example :

Each column is a feature and the last column - class , is the name of the class to predict.

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Can anyone please provide a sample code for:

2. Initializing Naive Bayes with a CSV file (model creation, training, required pre-processing, etc...)
3. For a given CSV row - predicting a class

Thanks!

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BTW -

I'm using Mahout 0.9 and Hadoop 2.4 and iv'e already tried to follow these links:

http://web.archiveorange.com/archive/v/y0uRZw9Q4iHdjrm4Rfsu http://chimpler.wordpress.com/2013/03/13/using-the-mahout-naive-bayes-classifier-to-automatically-classify-twitter-messages/

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Answer 1

I Managed to create a working example.

if you are interested, see this gist