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
971 B
29 lines
971 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 = 'yin-yang';
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var width = 496;
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var height = 512;
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var ligatures = [];
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var unicode = 'f6ad';
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var svgPathData = 'M248 8C111.03 8 0 119.03 0 256s111.03 248 248 248 248-111.03 248-248S384.97 8 248 8zm0 376c-17.67 0-32-14.33-32-32s14.33-32 32-32 32 14.33 32 32-14.33 32-32 32zm0-128c-53.02 0-96 42.98-96 96s42.98 96 96 96c-106.04 0-192-85.96-192-192S141.96 64 248 64c53.02 0 96 42.98 96 96s-42.98 96-96 96zm0-128c-17.67 0-32 14.33-32 32s14.33 32 32 32 32-14.33 32-32-14.33-32-32-32z';
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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.faYinYang = 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; |