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
906 B
29 lines
906 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 = 'info';
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var width = 192;
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var height = 512;
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var ligatures = [];
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var unicode = 'f129';
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var svgPathData = 'M20 424.229h20V279.771H20c-11.046 0-20-8.954-20-20V212c0-11.046 8.954-20 20-20h112c11.046 0 20 8.954 20 20v212.229h20c11.046 0 20 8.954 20 20V492c0 11.046-8.954 20-20 20H20c-11.046 0-20-8.954-20-20v-47.771c0-11.046 8.954-20 20-20zM96 0C56.235 0 24 32.235 24 72s32.235 72 72 72 72-32.235 72-72S135.764 0 96 0z';
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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.faInfo = 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; |