I do a lot of machine learning, and I'm not sure how useful this is. Machine learning technology is not currently automatic enough that it can be effective at the command-line level. By moving one level down the stack, to the API and library bindings level, it becomes a lot more effective.<p>What I'm saying is that to use command-line machine learning, I would have to couch it in a bunch of scripting. At that point in time, I might as well use library bindings. So command-line is not a selling point for me.
Compared to WEKA (<a href="http://www.cs.waikato.ac.nz/ml/weka/" rel="nofollow">http://www.cs.waikato.ac.nz/ml/weka/</a>), waffles look inferior. Weka has a much wider variety of classifiers and filters to play with.