Project Summary
The SHOGUN machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It comes with a generic interface for SVMs, features several SVM and kernel implementations, includes LinAdd optimizations and also Multiple Kernel Learning algorithms. SHOGUN also implements a number of linear methods. It allows the input feature-objects to be dense, sparse or strings and of type int/short/double/char. It provides efficient implementations several kernels but also linear methods, hidden markov models etc. and interfaces to matlab,octave,python,R and has a cmdline interface and allows C++ extensions via a library.
Badges
In a Nutshell, SHOGUN...
- ...
- ...
- ...
-
...
took an estimated 72 years of effort (COCOMO model)
starting with its first commit in June, 2006
ending with its most recent commit over 1 year ago
Quick Reference
GNU General Public License v3.0 or later
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Use Patent Claims
Forbidden
Sub-License
Hold Liable
Required
Distribute Original
Disclose Source
Include Copyright
State Changes
Include License
Include Install Instructions
These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
Security Confidence Index
Vulnerability Exposure Index
Did You Know...
-
...
in 2016, 47% of companies did not have formal process in place to track OS code
-
...
compare projects before you chose one to use
-
...
65% of companies leverage OSS to speed application development in 2016
-
...
you can embed statistics from Open Hub on your site
30 Day SummaryJul 18 2025 — Aug 17 2025
|
12 Month SummaryAug 17 2024 — Aug 17 2025
|
