{
  "name": "feature-scaler",
  "version": "1.0.0",
  "description": "Normalize arbitrary lists of js objects into something you can feed to a machine learning algorithm.",
  "main": "index.js",
  "scripts": {
    "lint": "eslint index.js",
    "test": "mocha tests/**/*.spec.js",
    "test-watch": "mocha tests/**/*.spec.js -w"
  },
  "keywords": [
    "neural",
    "network",
    "one-hot",
    "one-of-k",
    "encoding",
    "machine learning",
    "normalization"
  ],
  "repository" : {
    "type" : "git",
    "url" : "https://github.com/maxthyen/feature-scaler"
  },
  "author": "Max Thyen",
  "license": "ISC",
  "dependencies": {
    "lodash": "^4.15.0"
  },
  "devDependencies": {
    "chai": "^3.5.0",
    "eslint": "^3.3.1",
    "eslint-config-google": "^0.6.0",
    "mocha": "^3.0.2"
  }
}