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Thanks for the generous support from the Neural Networks and Machine Learning Lab at: |
Waffles seeks to be the world's most comprehensive collection of command-line tools for machine learning and data mining. Our native tools have minimal dependencies (no interpreter, VM, or runtime environment is necessary), and build cross-platform. If you have a useful data mining tool that meets these criteria, we want it in Waffles. In contrast with other machine learning toolkits, the major strengths of Waffles include:
Waffles might be described as "Machine Learning meets the Unix philosophy". We are trying to do for machine learning what Image Magick has done for image processing. That is, we try to keep it simple by providing a big range of functionality in the form of easy-to-use command-line tools. You are free to mix tools from other packages in with ours. You are free to mix your own custom tools with ours. You are free to write scripts that automate your experiments. You are free to use our tools in ways that we could not foresee. What if you like GUIs because you don't like memorizing commands? No worries! Waffles contains a graphical wizard tool that will guide you through forms to generate the command that will do exactly what you want... ![]() ...but you will never get "locked-in" to this GUI, because it prints out the command that will perform the desired task. You can paste this command into a shell to do the job immediately, or you can paste it into a script that will automate your processes. Want to know more? Take a look at our documentation. You can reference Waffles with the following citation: Michael S. Gashler. Waffles: A machine learning toolkit. Journal of Machine Learning Research, MLOSS 12:2383-2387, July 2011. ISSN 1532-4435. Bibtex: @article{gashler_waffles, author={Gashler, Michael S.}, title={Waffles: A Machine Learning Toolkit}, journal={Journal of Machine Learning Research}, volume={MLOSS 12}, pages={2383--2387}, month={July}, year={2011}, issn={1532-4435}, publisher={JMLR.org and Microtome Publishing}, url={http://www.jmlr.org/papers/volume12/gashler11a/gashler11a.pdf} } If you need help, you are welcome to post to our forum. If you would like to suggest a particular feature, please send email to ![]() If Waffles is not for you, you can find lots of other great open source machine learning toolkits at MLOSS.org. |
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