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updated the docs
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<file>dlib/svm.h</file>
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<spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
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<description>
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This function simply takes two vectors, the first containing veature vectors and
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This function simply takes two vectors, the first containing feature vectors and
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the second containing labels, and reports back if the two could possibly
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contain data for a well formed classification problem.
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</description>
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<li><b>Machine Learning Algorithms</b>
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<ul>
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<li><a href="algorithms.html#mlp">multi layer perceptrons</a> </li>
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<li><a href="algorithms.html#svm_nu_train">nu support vector machines</a> for classification</li>
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<li><a href="algorithms.html#svm_nu_trainer">nu support vector machines</a> for classification</li>
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<li>An online <a href="algorithms.html#krls">kernel RLS regression</a> algorithm</li>
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<li>An online kernelized <a href="algorithms.html#kcentroid">centroid estimator</a></li>
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<li>A kernelized <a href="algorithms.html#kkmeans">k-means</a> clustering algorithm</li>
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