Mahout Naive Bayes Classifier for Items

Posted by Nimesh Parikh on Stack Overflow See other posts from Stack Overflow or by Nimesh Parikh
Published on 2012-04-17T10:21:19Z Indexed on 2012/06/15 21:17 UTC
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Team,

I am working on a project where i need to classify Items into certain category. I have a single file as input; which contains target variable and space separated features. My training data will look like

Category Name [Tab] DataString

Plumbing [Tab] Pipe Tap Plastic Pipe PVC Pipe Cold Water Line Hot Water Line Tee outlet up Elbow turned up Elbow turned down Gate valve Globe valve

Paint [Tab] Ivory Black Burnt Umber Caput Mortuum Violet Earth Red Yellow Ochre Titanium White Cadmium Yellow Light Cadmium Yellow Deep

Cloths [Tab] Shirt T-Shirt Pent Jeans Tee Cargo

Well, I have really big set of Category. I have couple of question here

  1. am i using correct data for Training? If no then what should i use?
  2. Once I train and Test my model, what is next step? How can i use output?

Please help me with this

Thanks,

Nimesh

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