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
868 B
29 lines
868 B
4 years ago
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'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 = 'gem';
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var width = 576;
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var height = 512;
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var ligatures = [];
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var unicode = 'f3a5';
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var svgPathData = 'M485.5 0L576 160H474.9L405.7 0h79.8zm-128 0l69.2 160H149.3L218.5 0h139zm-267 0h79.8l-69.2 160H0L90.5 0zM0 192h100.7l123 251.7c1.5 3.1-2.7 5.9-5 3.3L0 192zm148.2 0h279.6l-137 318.2c-1 2.4-4.5 2.4-5.5 0L148.2 192zm204.1 251.7l123-251.7H576L357.3 446.9c-2.3 2.7-6.5-.1-5-3.2z';
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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.faGem = 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;
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