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
892 B
29 lines
892 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 = 'cube';
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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 = 'f1b2';
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var svgPathData = 'M239.1 6.3l-208 78c-18.7 7-31.1 25-31.1 45v225.1c0 18.2 10.3 34.8 26.5 42.9l208 104c13.5 6.8 29.4 6.8 42.9 0l208-104c16.3-8.1 26.5-24.8 26.5-42.9V129.3c0-20-12.4-37.9-31.1-44.9l-208-78C262 2.2 250 2.2 239.1 6.3zM256 68.4l192 72v1.1l-192 78-192-78v-1.1l192-72zm32 356V275.5l160-65v133.9l-160 80z';
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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.faCube = 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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