Hi, I'm got lost a bit on how to run Naive Bayes with Mahout on this simple data set, all examples I got from Google are for the famous 20 Newsgroups. The data set is in the following format in one file: Label feature1 feature 2 feature3... featureN 0 0.12 0.3 0.8. ... 0.2 1 0.2 0.42 0.65....0.63 1 0.8 0.32 0.6......0.9 ...... That is, we want to classify new data into either category of 0 or 1. Could anybody tell me how to process it(e.g: to convert it to sequence file first)? Thanks so much!
Dong
