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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76 lines
2.3 KiB
76 lines
2.3 KiB
{
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"raw": "vega-encode@4.5.2",
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"_spec": "vega-encode@4.5.2",
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"_where": "/Users/anchaa/Documents/Research/iStacking_code/istacking/frontend/node_modules/vega",
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"author": {
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"name": "Jeffrey Heer",
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"url": "http://idl.cs.washington.edu"
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"bugs": {
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"url": "https://github.com/vega/vega/issues"
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"vega-time": "^1.0.0",
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"vega-util": "^1.12.2"
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"deprecated": false,
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"description": "Visual encoding transforms for Vega dataflows.",
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"vega",
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"encode",
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"axes",
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"main": "build/vega-encode.js",
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"module": "index",
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"name": "vega-encode",
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"build": "yarn rollup",
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"postbuild": "terser build/vega-encode.js -c -m -o build/vega-encode.min.js",
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"postpublish": "git push && git push --tags",
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"prebuild": "rimraf build && mkdir build",
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"prepublishOnly": "yarn test && yarn build",
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"pretest": "yarn prebuild && yarn rollup",
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"rollup": "rollup -g d3-array:d3,d3-format:d3,d3-interpolate:d3,vega-dataflow:vega,vega-scale:vega,vega-time:vega,vega-util:vega -f umd -n vega.transforms -o build/vega-encode.js -- index.js",
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"test": "tape 'test/**/*-test.js' && eslint index.js src test"
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},
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"version": "4.5.2"
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}
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