{"id":958,"date":"2013-05-30T12:55:56","date_gmt":"2013-05-30T12:55:56","guid":{"rendered":"http:\/\/sites.uac.pt\/amendes\/?p=958"},"modified":"2013-05-30T12:55:56","modified_gmt":"2013-05-30T12:55:56","slug":"libsvm","status":"publish","type":"post","link":"https:\/\/sites.uac.pt\/amendes\/data-mining\/libsvm\/","title":{"rendered":"LIBSVM &#8212; A Library for Support Vector Machines"},"content":{"rendered":"<div id=\"attachment_959\" style=\"width: 310px\" class=\"wp-caption alignleft\"><a href=\"http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm\/\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-959\" class=\"size-medium wp-image-959\" src=\"http:\/\/sites.uac.pt\/amendes\/files\/2013\/05\/heart_scale-300x225.png\" alt=\"P\u00e1gina dos autores da biblioteca LIBSVM, a mais usada para SVM\" width=\"300\" height=\"225\" srcset=\"https:\/\/sites.uac.pt\/amendes\/files\/2013\/05\/heart_scale-300x225.png 300w, https:\/\/sites.uac.pt\/amendes\/files\/2013\/05\/heart_scale.png 640w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><p id=\"caption-attachment-959\" class=\"wp-caption-text\">P\u00e1gina dos autores da biblioteca LIBSVM, a mais usada para SVM<\/p><\/div>\n<h2>LIBSVM &#8212; A Library for Support Vector Machines<\/h2>\n<h2>Chih-Chung Chang and <a href=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/index.html\">Chih-Jen Lin<\/a><\/h2>\n<hr \/>\n<p><img decoding=\"async\" src=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/libsvm\/new.gif\" alt=\"\" \/> Version 3.17 released on April Fools&#8217; day, 2013. We slightly adjust the way class labels are handled internally. By default labels are ordered by their first occurrence in the training  set.  Hence for a set with -1\/+1 labels, if -1 appears first, then internally -1 becomes +1. This has caused confusion. Now for data with -1\/+1 labels, we specifically ensure that internally the binary SVM has positive data corresponding to  the +1 instances. For developers, see changes in the subrouting  svm_group_classes of svm.cpp.<br \/>\n<img decoding=\"async\" src=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/libsvm\/new.gif\" alt=\"\" \/> We now have a nice page <a href=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/libsvmtools\/datasets\">LIBSVM data sets<\/a> providing problems in LIBSVM format.<br \/>\n<img decoding=\"async\" src=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/libsvm\/new.gif\" alt=\"\" \/> <a href=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/papers\/guide\/guide.pdf\">A practical   guide to SVM classification<\/a> is available now! (mainly written for beginners)<br \/>\n<img decoding=\"async\" src=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/libsvm\/new.gif\" alt=\"\" \/> <a href=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/libsvmtools\">LIBSVM tools<\/a> available now!<br \/>\nWe now have an easy script (easy.py) for users who know NOTHING about svm. It makes     everything automatic&#8211;from data scaling to parameter selection.<br \/>\nThe parameter selection tool grid.py generates the following contour of cross-validation accuracy. To use this tool, you also need to install <a href=\"http:\/\/www.python.org\/download\/\">python<\/a> and  <a href=\"http:\/\/www.gnuplot.info\/\">gnuplot<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>LIBSVM &#8212; A Library for Support Vector Machines Chih-Chung Chang and Chih-Jen Lin Version 3.17 released on April Fools&#8217; day, 2013. We slightly adjust the way class labels are handled internally. By default labels are ordered by their first occurrence in the training set. Hence for a set with -1\/+1 labels, if -1 appears first, [&hellip;]<\/p>\n","protected":false},"author":159,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[103,137],"tags":[134,114,132,172,133],"class_list":["post-958","post","type-post","status-publish","format-standard","hentry","category-data-mining","category-software","tag-captura-de-conhecimento","tag-optimizacao","tag-r-software","tag-rapidminer","tag-weka"],"_links":{"self":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/958","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/users\/159"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/comments?post=958"}],"version-history":[{"count":2,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/958\/revisions"}],"predecessor-version":[{"id":961,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/958\/revisions\/961"}],"wp:attachment":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/media?parent=958"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/categories?post=958"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/tags?post=958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}