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shogun
SHOGUN is a large scale machine learning toolbox focused on kernel methods and support vector machines.

The SHOGUN machine learning toolbox provides a comprehensive framework for implementing various machine learning algorithms, particularly focusing on support vector machines (SVMs). It supports multiple SVM implementations and allows for the combination of different kernels, making it versatile for various applications.

With efficient implementations of common kernels like Linear, Polynomial, Gaussian, and Sigmoid, SHOGUN also includes advanced string kernels and the ability to work with custom pre-computed kernels. Its architecture supports various data types, enabling users to handle dense, sparse, and string data seamlessly.

SHOGUN is open-source and implemented in C++, with interfaces available for popular programming languages such as Python, R, Octave, and Matlab. The toolbox has been enhanced through contributions from students and developers, adding features like model selection frameworks and online learning capabilities.

For those interested in machine learning research, SHOGUN provides extensive documentation and examples, making it an excellent resource for both beginners and experienced practitioners in the field.

You can learn more about pricing for shogun at its pricing page.

shogun can be categorized under Machine Learning Librariess, which is commonly listed under AI Tools tools.

Not all similar tools offer the same features. Most include a free plan or trial, so you should be able to give them a try. You can browse some of the alternatives to shogun listed in the directory.

Some tools might also offer discounts or offers, especially for newer members. Most of these offers traditionally come as part of affiliate programs or promotions, but often you can reach out to companies and check whether they can give you special pricing.

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