Stat.JS

Provides a Rich Models for Statistical Computing using JavaScript

How to install

npm install stat_learn_js --save

How to use

This package is developed with the concern of simple plug and play experience without worrying the under the hood issues

Simple Linear Regression

var { SLR } = require('stat_learn_js');

var ht = [152, 166, 174, 179, 183, 172] // X (independent variable)
  , wt = [62, 64, 85, 72, 78, 68]; // y (dependent variable)

SLR.fit(ht, wt); // training starts

SLR.predict(166); // predict the new weight with the new height value

Multi Linear Regression

// lets predict with multiple input columns
const {MLR} = require('stat_learn_js');

var cc = [1010, 1280, 1280, 795, 1461];
var hp = [88, 94, 95, 84, 108];
var weight = [1200, 1350, 1400, 850, 1550];
var milage = [23.0, 18.5, 19.3, 21.5, 17.0];

var X = [] // (Array of Arrays)
X.push(cc);
X.push(hp);
X.push(weight);

MLR.fit(X, milage); // Training starts
MLR.predict([1000, 95, 1008]); // predicting with the new input
MLR.coeff_(); //coefficient values or beta values