This project provides an implementation of the Gaussian (radial basis function) kernel for machine learning in JavaScript/TypeScript. It computes kernel values between two vectors, enabling kernel methods like Support Vector Machines (SVMs). The package is intended for ML developers working in the Node.js or browser environment who need a lightweight
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Support the dependencies of mljs/kernel-gaussian
Compute the euclidean distance between two vectors
Shared ESLint config for cheminfo and ml.js projects
Import with sanity.
ESLint rules for Jest
Delightful JavaScript Testing.
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