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
924 B
29 lines
924 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 = 'sim-card';
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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 = 'f7c4';
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var svgPathData = 'M0 64v384c0 35.3 28.7 64 64 64h256c35.3 0 64-28.7 64-64V128L256 0H64C28.7 0 0 28.7 0 64zm224 192h-64v-64h64v64zm96 0h-64v-64h32c17.7 0 32 14.3 32 32v32zm-64 128h64v32c0 17.7-14.3 32-32 32h-32v-64zm-96 0h64v64h-64v-64zm-96 0h64v64H96c-17.7 0-32-14.3-32-32v-32zm0-96h256v64H64v-64zm0-64c0-17.7 14.3-32 32-32h32v64H64v-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.faSimCard = 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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