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35 lines (35 loc) · 803 Bytes
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{
"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": "^4.18.2",
"eslint-config-google": "^0.6.0",
"mocha": "^3.0.2"
}
}