I want to work with machine learning in Mathematica. Are there any SVM algorithms implemented in Mathematica anywhere? Or any other algorithms for machine learning? With positive and negative database of HOG descriptors.
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asked Nov 21, 2012 at 13:45
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$\begingroup$ May you could i) give us a reference ii) give it a shot? $\endgroup$– chrisNov 21, 2012 at 14:01
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$\begingroup$ There's this wolfram.com/products/applications/neuralnetworks 35GBP for students. Haven't used it myself I usually export the data and handle it in matlab since I have the neural networks package for matlab. It makes me cry every time EDIT: Can't find anything about SVM in the Mathematica neural networks package, perhaps it doesn't even have it $\endgroup$– sschNov 21, 2012 at 14:43
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$\begingroup$ What do you mean by "positive and negative database"? $\endgroup$– Sjoerd C. de VriesNov 21, 2012 at 14:44
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2 Answers
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As of Version 10 , Mathematica has a built in function Classify, which implements support vector machines and some other common machine learning algorithms.
trainingset = {1 -> "A", 2 -> "A", 3.5 -> "B", 4 -> "B"};
classifier = Classify[ trainingset, Method -> "SupportVectorMachine"];
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The Mathematica Journal has a nice article on SVM's: A Flexible Implementation for Support Vector Machines, with an accompanying notebook and .m file providing an SVM implementation.
answered Nov 21, 2012 at 14:41
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$\begingroup$ Calls to the defunct
RandomArraycan be replaced with identical ones toRandomRealin the example SVM notebook. $\endgroup$ Nov 21, 2012 at 14:59 -
2$\begingroup$ There's a (newer?) version of the package on google code: code.google.com/p/prpackage/source/browse/t/draft/classify/… $\endgroup$ Nov 21, 2012 at 15:01
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$\begingroup$ Would it be too much to ask for a break down of this code? $\endgroup$ Dec 5, 2017 at 11:46