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
980 B
29 lines
980 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 = 'quote-left';
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var width = 512;
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var height = 512;
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var ligatures = [];
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var unicode = 'f10d';
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var svgPathData = 'M464 256h-80v-64c0-35.3 28.7-64 64-64h8c13.3 0 24-10.7 24-24V56c0-13.3-10.7-24-24-24h-8c-88.4 0-160 71.6-160 160v240c0 26.5 21.5 48 48 48h128c26.5 0 48-21.5 48-48V304c0-26.5-21.5-48-48-48zm-288 0H96v-64c0-35.3 28.7-64 64-64h8c13.3 0 24-10.7 24-24V56c0-13.3-10.7-24-24-24h-8C71.6 32 0 103.6 0 192v240c0 26.5 21.5 48 48 48h128c26.5 0 48-21.5 48-48V304c0-26.5-21.5-48-48-48z';
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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.faQuoteLeft = 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; |