{"id":120,"date":"2018-12-14T20:54:47","date_gmt":"2018-12-14T17:24:47","guid":{"rendered":"https:\/\/mirblog.me\/?p=120"},"modified":"2018-12-28T21:34:52","modified_gmt":"2018-12-28T18:04:52","slug":"lighttwinsvm-a-fast-light-weight-and-simple-implementation-of-twinsvm-classifier","status":"publish","type":"post","link":"https:\/\/mirblog.net\/index.php\/2018\/12\/14\/lighttwinsvm-a-fast-light-weight-and-simple-implementation-of-twinsvm-classifier\/","title":{"rendered":"LightTwinSVM: A Fast, Light-weight and Simple Implementation of TwinSVM Classifier"},"content":{"rendered":"

Support Vector Machine (SVM) is a popular and state-of-the-art classification algorithm.\u00a0 Hence many packages and implementations of standard SVM can be found on the internet. However, there are some interesting extensions of SVM that has a slightly better prediction accuracy. Of these extensions, Twin Support Vector Machine (TSVM) has received\u00a0more attention from scholars in the field of SVM research. Even I myself have published a classifier based on TSVM and KNN.<\/p>\n

TSVM does classification using two non-parallel hyperplanes as opposed to a single hyperplane in standard SVM (To know more about TSVM, you can read this blog post<\/a>.).\u00a0\u00a0Unlike SVM, TSVM had almost no fast and simple implementation\u00a0on the internet prior to 2018. So I decided to develop the LightTwinSVM program<\/a> and share it with others for free.<\/p>\n

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This program was designed to help researchers, students, and practitioners do classification easily using TwinSVM classifier without worrying about details of implementation.<\/p>\n

\"LightTwinSVM's<\/a>
LightTwinSVM’s command line interface<\/figcaption><\/figure>\n

The LightTwinSVM program is mostly written in Python<\/strong> and has the following features:<\/p>\n