Classifying data from the command line

After you’ve done the Quickstart and are familiar with the basics of Mahout, it is time to build a classifier from your own data. The following pieces may be useful for in getting started:

Input

For starters, you will need your data in an appropriate Vector format: See Creating Vectors as well as Creating Vectors from Text.

Running the Process

• Logistic regression background
• Naive Bayes background and commandline options.
• Complementary naive bayes background, design, and c-bayes-commandline
• Random Forests Classification comes with a Breiman example. There is some really great documentation over at Mark Needham’s blog. Also checkout the description on Xiaomeng Shawn Wan s blog.