{
  "name": "jskit-learn",
  "description": "jskit-learn is a javascript module with simple and efficient tools for data mining and data analysis in JavaScript. When jskit-learn used with ML.js, pandas-js, and numjs, you're left with the equialent R/Python toolset in JavaScript.",
  "version": "0.9.4",
  "main": "dist/jskit-learn.cjs.js",
  "module": "dist/jskit-learn.esm.js",
  "browser": "dist/jskit-learn.umd.js",
  "modules.root": "lib",
  "license": "MIT",
  "dependencies": {
    "babel-runtime": "^6.26.0",
    "csvtojson": "^1.1.9",
    "fs-extra": "^5.0.0",
    "lodash.range": "^3.2.0",
    "lodash.rangeright": "^4.2.0",
    "ml": "^2.2.0",
    "ml-cart": "^1.0.8",
    "ml-logistic-regression": "^1.0.2",
    "ml-naivebayes": "^3.0.0",
    "ml-pca": "^2.1.0",
    "ml-random-forest": "^1.0.2",
    "ml-regression-multivariate-linear": "^1.1.0",
    "natural": "^0.5.6",
    "node-fpgrowth": "^1.0.0",
    "object.values": "^1.0.4",
    "random-js": "^1.0.8",
    "request": "^2.83.0",
    "valid-url": "^1.0.9"
  },
  "devDependencies": {
    "chai": "^4.0.2",
    "coveralls": "^3.0.0",
    "grunt": "^1.0.1",
    "grunt-coveralls": "^1.0.1",
    "grunt-jsdoc": "^2.1.0",
    "grunt-mocha-cov": "^0.4.0",
    "grunt-mocha-istanbul": "^5.0.2",
    "grunt-simple-mocha": "^0.4.1",
    "istanbul": "^0.4.5",
    "jsdoc": "^3.4.3",
    "jsdoc-to-markdown": "^3.0.0",
    "matplotnode": "^0.1.3",
    "mocha": "^4.1.0",
    "numjs": "^0.15.1",
    "pandas-js": "^0.2.4",
    "rollup": "^0.53.3",
    "rollup-plugin-async": "^1.2.0",
    "rollup-plugin-commonjs": "^8.2.6",
    "rollup-plugin-node-builtins": "^2.1.2",
    "rollup-plugin-node-globals": "^1.1.0",
    "rollup-plugin-node-resolve": "^3.0.0",
    "sinon": "^4.1.3",
    "sinon-chai": "^2.11.0"
  },
  "scripts": {
    "build": "rollup -c",
    "dev": "rollup -c -w",
    "test_simple": "node test/test.js",
    "test": "mocha -R spec --recursive",
    "pretest": "npm run build"
  },
  "files": [
    "dist"
  ],
  "bugs": {
    "url": "https://github.com/repetere/jskit-learn/issues"
  },
  "author": {
    "name": "Yaw Joseph Etse",
    "email": "yaw.etse@gmail.com"
  },
  "repository": {
    "type": "git",
    "url": "https://github.com/repetere/jskit-learn.git"
  },
  "keywords": [
    "Machine Learning",
    "data science",
    "scikit-learn",
    "sk-learn",
    "ml",
    "pre-processing",
    "data preperation",
    "pandas",
    "numpy"
  ]
}