The ml-svm project is a JavaScript implementation of Support Vector Machines (SVM) designed primarily for educational purposes to help students understand the algorithm. It provides a simplified Sequential Minimization Optimization (SMO) algorithm and includes features like training, prediction, and model serialization. The library is suitable for developers and learners working on machine learning projects in JavaScript who need a basic SVM implementation.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of mljs/svm
A factory for kernel functions
Functions for computing stats on arrays and matrices
Shared ESLint config for cheminfo and ml.js projects
ESLint rule for .only blocks in mocha tests
Cross validation utility for mljs classifiers
Iris flower data set
JavaScript implementation of the XORSHIFT-ADD (XSadd) pseudo random number generator
simple, flexible, fun test framework
Just a bit better spec reporter for Mocha
test framework agnostic BDD-style assertions
Support the repos that depend on this repository
Top contributors
stropitek
42 contributions
maasencioh
11 contributions
targos
9 contributions
greenkeeperio-bot
1 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet