--- name: "shogun" section: "5" platform: "linux" package: "shogun-cmdline-static" version: "3.2.0-8+b1" release: "Debian 10 (Buster)" platforms: ["linux"] url: "https://new.carta.tech/shogun" --- # shogun(5) A Large Scale Machine Learning Toolbox ## NAME shogun - A Large Scale Machine Learning Toolbox ## SYNOPSIS **shogun** \[*options*\]\ ## DESCRIPTION This manual page briefly documents the readline interface of **shogun** **Shogun** is a large scale machine learning toolbox with focus on large scale kernel methods and especially on Support Vector Machines (SVM) with focus to bioinformatics. It provides a generic SVM object interfacing to several different SVM implementations. Each of the SVMs can be combined with a variety of the many kernels implemented. It can deal with weighted linear combination of a number of sub-kernels, each of which not necessarily working on the same domain, where an optimal sub-kernel weighting can be learned using Multiple Kernel Learning. Apart from SVM 2-class classification and regression problems, a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons and also algorithms to train hidden markov models are implemented. The input feature-objects can be dense, sparse or strings and of type int/short/double/char and can be converted into different feature types. Chains of preprocessors (e.g. substracting the mean) can be attached to each feature object allowing for on-the-fly pre-processing. ## OPTIONS A summary of options is included below. - **-h, --help, /?** Show summary of options. - **-i** listen on tcp port 7367 (hex of sg) - **filename** execute a script by reading commands from file \ - when no options are given the interactive readline interface will be entered - [**svm-train**(1)](/svm-train/1.md), ## SEE ALSO [**svm-predict**(1)](/svm-predict/1.md). [**svm-scale**(1)](/svm-scale/1.md). - shogun was written by Soeren Sonnenburg \ ## AUTHOR and Gunnar Raetsch \ This manual page was written by Soeren Sonnenburg \, for the Debian project (but may be used by others).