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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29 lines
917 B
29 lines
917 B
'use strict';
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Object.defineProperty(exports, '__esModule', { value: true });
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var prefix = 'fas';
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var iconName = 'bold';
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var width = 384;
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var height = 512;
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var ligatures = [];
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var unicode = 'f032';
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var svgPathData = 'M333.49 238a122 122 0 0 0 27-65.21C367.87 96.49 308 32 233.42 32H34a16 16 0 0 0-16 16v48a16 16 0 0 0 16 16h31.87v288H34a16 16 0 0 0-16 16v48a16 16 0 0 0 16 16h209.32c70.8 0 134.14-51.75 141-122.4 4.74-48.45-16.39-92.06-50.83-119.6zM145.66 112h87.76a48 48 0 0 1 0 96h-87.76zm87.76 288h-87.76V288h87.76a56 56 0 0 1 0 112z';
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exports.definition = {
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prefix: prefix,
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iconName: iconName,
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icon: [
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width,
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height,
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ligatures,
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unicode,
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svgPathData
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]};
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exports.faBold = exports.definition;
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exports.prefix = prefix;
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exports.iconName = iconName;
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exports.width = width;
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exports.height = height;
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exports.ligatures = ligatures;
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exports.unicode = unicode;
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exports.svgPathData = svgPathData; |