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
970 B
29 lines
970 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 = 'bullseye';
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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 = 'f140';
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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 432c-101.69 0-184-82.29-184-184 0-101.69 82.29-184 184-184 101.69 0 184 82.29 184 184 0 101.69-82.29 184-184 184zm0-312c-70.69 0-128 57.31-128 128s57.31 128 128 128 128-57.31 128-128-57.31-128-128-128zm0 192c-35.29 0-64-28.71-64-64s28.71-64 64-64 64 28.71 64 64-28.71 64-64 64z';
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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.faBullseye = 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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