gaussian-mixture/package.json

An implementation of a Gaussian Mixture class in one dimension, that allows to fit models with an Expectation Maximization algorithm.

{
  "name": "gaussian-mixture",
  "version": "0.9.1",
  "description": "An implementation of a Gaussian Mixture class in one dimension, that allows to fit models with an Expectation Maximization algorithm.",
  "main": "index.js",
  "repository": "git@github.com:benjamintd/gaussian-mixture.git",
  "scripts": {
    "test": "npm run lint && tap test/*.test.js",
    "lint": "eslint '*.js' 'test/*.test.js'",
    "fix": "eslint --fix '*.js' 'test/*.test.js'",
    "cover": "tap test/*.test.js --cov --coverage-report=lcov"
  },
  "keywords": [
    "expectation",
    "maximization",
    "gaussian",
    "mixture"
  ],
  "author": "Benjamin Tran Dinh",
  "license": "MIT",
  "devDependencies": {
    "eslint": "^3.4.0",
    "eslint-config-mourner": "^2.0.1",
    "tap": "^15.1.5"
  },
  "dependencies": {
    "gaussian": "~1.1.0"
  }
}