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Patiny"},"license":"MIT","homepage":"https://github.com/mljs/array/tree/master/packages/array-mean#readme","keywords":[],"repository":{"type":"git","url":"git+https://github.com/mljs/array.git"},"description":"Normalize the values of a given array","maintainers":[{"name":"stropitek","email":"kostro.d@gmail.com"},{"name":"targos","email":"npm@secmail.targos.dev"},{"name":"lpatiny","email":"luc@patiny.com"},{"name":"mljs-bot","email":"bot+npm-mljs@zakodium.com"},{"name":"cheminfo-bot","email":"bot+npm-cheminfo@zakodium.com"}],"readme":"# array-normed\n\n[![NPM version][npm-image]][npm-url]\n[![npm download][download-image]][download-url]\n\nNorme the vector (sum to 1 by default)\n\n## Installation\n\n`$ npm install --save ml-array-normed`\n\n## Usage\n\n```js\nimport normed from 'ml-array-normed';\n\nconst result = normed([1, 2, 3, 4]);\n// [0.1, 0.2, 0.3, 0.4]\n```\n\n```js\nimport normed from 'ml-array-normed';\n\nconst result = normed([1, 2, 3, 4], { algorithm: 'max' });\n// [0.25, 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