ml-kernel is a JavaScript library that provides a factory for creating various kernel functions used in machine learning algorithms. It offers a wide range of kernel types, including linear, Gaussian, polynomial, and sigmoid, allowing users to compute kernel matrices for feature space transformations. This library is designed for developers working on machine learning projects in JavaScript who need to implement kernel-based algorithms such as Support Vector Machines or kernel Principal Component Analysis.
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Support the dependencies of mljs/kernel
Compute the euclidean distance between two vectors
The gaussian (radial basis function) kernel
The polynomial kernel
Sigmoid (hyperbolic tangent) kernel
Matrix manipulation and computation library
Shared ESLint config for cheminfo and ml.js projects
Import with sanity.
ESLint rules for Jest
Delightful JavaScript Testing.
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