README.md

ML-eduJS

ML-eduJS is the simple library for using and understand Machine Learning Algorithms - for now decission tree and learning algorithm for them. I would like to invite you to read the code and understand what's happening under the hood. It works only on server side but maybe in future I will create browser side version.

With library you can:

• implement own decision tree with all of the nodes and leafs
• use predefined algorithm for decision tree learning - CART, ID3, C4.5
• save tree to json file with readable form
• save tree to json with form which can be reused later
• descriptive mode

WARNING: Speed and optimization is not the main goal of the library

0. Import package

To install package using npm:

npm install ml_edu_js --save

After that I recommend to assign some properties:

const MLeduJS = require('ml_edu_js');
const CART = MLeduJS.CART; // the same for other submodules which are used in code

1. Decision tree

With ML-eduJS you can build, test and use your own decision trees. Library implements basic structure, but also offers learning algorithms and ensemble algorithms.

Available learning algorithms:

• CART
• ID3
• C4.5

Available ensemble algorithms:

• bagging
• random forest

More details you can find in Wiki:

• Decision tree - basic structure
• Decision tree - learning algorithms
• Decision tree - ensemble algorithms