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
836 B
29 lines
836 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 = 'cross';
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var width = 384;
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var height = 512;
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var ligatures = [];
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var unicode = 'f654';
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var svgPathData = 'M352 128h-96V32c0-17.67-14.33-32-32-32h-64c-17.67 0-32 14.33-32 32v96H32c-17.67 0-32 14.33-32 32v64c0 17.67 14.33 32 32 32h96v224c0 17.67 14.33 32 32 32h64c17.67 0 32-14.33 32-32V256h96c17.67 0 32-14.33 32-32v-64c0-17.67-14.33-32-32-32z';
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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.faCross = 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; |