shogun
Large Scale Machine Learning Toolbox
Install
- All systems
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curl cmd.cat/shogun.sh
- Debian
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apt-get install shogun-cmdline-static - Ubuntu
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apt-get install shogun-cmdline-static - Kali Linux
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apt-get install shogun-cmdline-static - Windows (WSL2)
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sudo apt-get updatesudo apt-get install shogun-cmdline-static - Raspbian
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apt-get install shogun-cmdline-static - Dockerfile
- dockerfile.run/shogun
shogun-cmdline-static
Large Scale Machine Learning Toolbox
SHOGUN - is a new 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. SHOGUN comes in different flavours, a stand-a-lone version and also with interfaces to Matlab(tm), R, Octave, Readline and Python. This is the Readline package.