liblinear_hints
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liblinear_hints [2012/12/07 15:29] bhkong created |
liblinear_hints [2013/02/21 12:57] (current) bhkong |
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| - | A simple way to check if this is the case if to look at the Label field of the MATLAB struct that is output from libLinear's train and libSVM's svmtrain functions. Even if you use the library's predict function (predict and svmpredict), it is still up to the user to translate the labels. | + | A simple way to check if this is the case is to look at the Label field of the MATLAB struct that is output from libLinear's train and libSVM's svmtrain functions, Label(1) will tell you the label used for positive examples. However, if you use the library's predict function (predict and svmpredict), the labels will be correctly translated. |
| - | Source: | + | Source: [[http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html#f430|http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html#f430]] |
| - | [[http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html#f430|http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html#f430]] | + | ====== Differences between libLinear and libSVM: ====== |
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| + | When the bias term learned using libLinear (-B 1) is regularized and is appended to the end of the weight vector, there does not appear to be a way to learn an unregularized bias term with libLinear. However, libSVM is able to learn a bias term rho in the decision function sign(w<sup>T</sup> x - rho). | ||
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| + | Sources: [[http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html#f401|www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html#f401]] [[http://www.csie.ntu.edu.tw/~cjlin/liblinear/FAQ.html#training_and_prediction|www.csie.ntu.edu.tw/~cjlin/liblinear/FAQ.html#training_and_prediction]] | ||
liblinear_hints.1354922940.txt.gz · Last modified: 2012/12/07 15:29 by bhkong
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