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📁 一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genet
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"><html><head></head><body><div style="text-align: center;"><big style="font-weight: bold;"><big>Waffles</big></big><br>The Manual<br></div><br>Waffles is a collection of useful C++ classes for researchers inMachine Learning and related fields. It consists of two parts: 1- theGClasses library (a nice library of useful and well tested classesdistributed under the LGPL license), and 2- the Waffles application (ashoddy collection of unpolished demo code dedicated to the publicdomain).<br><br>The best way to become familiar with the GClasses library is to readthe <a href="../GClasses/index.html">API Documentation</a>.<br><br>The best way to become familiar with the Waffles demos is to try them.Each demo has a picture of "The Manual", usually in the top-rightcorner. If you click on this picture, it will take you to thedocumentation for that demo. Or you can use these links:<br><br><a href="Chart.html">ARFF Chart Tool</a><br><a href="Interpolate.html">Interpolate Demo<br></a><a href="Manifold.html">Manifold Sculpting<br></a><a href="Paint.html">Paint (Image Processing) Tool<br></a><a href="PredAcc.html">Predictive Accuracy Tool<br></a><a href="Rank.html">Learner Ranking Tool<br></a><a href="RayTrace.html">RayTrace Demo<br></a><br><br>If you'd like to help with this project, here's some <a href="todo.html">features we'd like</a>.<br><br></body></html>

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