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
919 B
29 lines
919 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 = 'ban';
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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 = 'f05e';
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var svgPathData = 'M256 8C119.034 8 8 119.033 8 256s111.034 248 248 248 248-111.034 248-248S392.967 8 256 8zm130.108 117.892c65.448 65.448 70 165.481 20.677 235.637L150.47 105.216c70.204-49.356 170.226-44.735 235.638 20.676zM125.892 386.108c-65.448-65.448-70-165.481-20.677-235.637L361.53 406.784c-70.203 49.356-170.226 44.736-235.638-20.676z';
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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.faBan = 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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