Machine learning tools in JavaScript
JavaScript
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README.md

ml.js - Machine learning tools in JavaScript

Introduction

This library is a compilation of the tools developed in the mljs organization.
It is mainly maintained for use in the browser. If you are working with Node.js, you might prefer to add to your dependencies only the libraries that you need, as they are usually published to npm more often.
We prefix all our npm package names with ml- (eg. ml-matrix) so they are easy to find.

To include the ml.js library in a web page:

<script src="https://www.lactame.com/lib/ml/3.3.0/ml.min.js"></script>

It will be available as the global ML variable. The package is in UMD format and can be "required" within webpack or requireJS.

List of included libraries

Unsupervised learning

Supervised learning

Artificial neural networks (ANN)

  • Feedforward Neural Networks: ML.FNN
  • Self-organizing map / Kohonen networks: ML.SOM

Regression

Optimization

Math

ML.Array

ML.ArrayXY

Functions dealing with an object containing 2 properties x and y, both arrays.

Example:

let result = ML.ArrayXY.sortX({x: [2,3,1], y: [4,6,2]});
// result = {x: [1,2,3], y: [2,4,6]}

Statistics

Data preprocessing

Utility

License

MIT