StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics https://doi.org/10.1109/TVCG.2020.3030352
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StackGenVis/frontend/node_modules/array-normalize/package.json

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{
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"_id": "array-normalize@1.1.4",
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"_location": "/array-normalize",
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"_requested": {
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"registry": true,
"raw": "array-normalize@^1.1.4",
"name": "array-normalize",
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"_requiredBy": [
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"_resolved": "https://registry.npmjs.org/array-normalize/-/array-normalize-1.1.4.tgz",
"_shasum": "d75cec57383358af38efdf6a78071aa36ae4174c",
"_spec": "array-normalize@^1.1.4",
"_where": "/Users/anchaa/Documents/Research/iStacking_code/istacking/frontend/node_modules/point-cluster",
"author": {
"name": "Dima Yv",
"email": "dfcreative@gmail.com"
},
"bugs": {
"url": "https://github.com/dfcreative/array-normalize/issues"
},
"bundleDependencies": false,
"dependencies": {
"array-bounds": "^1.0.0"
},
"deprecated": false,
"description": "Normalize array (possibly n-dimensional) to zero mean and unit variance",
"homepage": "https://github.com/dfcreative/array-normalize#readme",
"keywords": [
"array",
"normalize",
"normal",
"statistics",
"samples"
],
"license": "MIT",
"main": "index.js",
"name": "array-normalize",
"repository": {
"type": "git",
"url": "git+https://github.com/dfcreative/array-normalize.git"
},
"scripts": {
"test": "node test"
},
"version": "1.1.4"
}