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
1.1 KiB
29 lines
1.1 KiB
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 = 'medkit';
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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 = 'f0fa';
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var svgPathData = 'M96 480h320V128h-32V80c0-26.51-21.49-48-48-48H176c-26.51 0-48 21.49-48 48v48H96v352zm96-384h128v32H192V96zm320 80v256c0 26.51-21.49 48-48 48h-16V128h16c26.51 0 48 21.49 48 48zM64 480H48c-26.51 0-48-21.49-48-48V176c0-26.51 21.49-48 48-48h16v352zm288-208v32c0 8.837-7.163 16-16 16h-48v48c0 8.837-7.163 16-16 16h-32c-8.837 0-16-7.163-16-16v-48h-48c-8.837 0-16-7.163-16-16v-32c0-8.837 7.163-16 16-16h48v-48c0-8.837 7.163-16 16-16h32c8.837 0 16 7.163 16 16v48h48c8.837 0 16 7.163 16 16z';
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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.faMedkit = 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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