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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54 lines
748 B
54 lines
748 B
4 years ago
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'use strict'
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module.exports = toSuperScript
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var SUPERSCRIPTS = {
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' ': ' ',
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'0': '⁰',
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'1': '¹',
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'2': '²',
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'3': '³',
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'4': '⁴',
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'5': '⁵',
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'6': '⁶',
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'7': '⁷',
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'8': '⁸',
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'9': '⁹',
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'+': '⁺',
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'-': '⁻',
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'a': 'ᵃ',
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'b': 'ᵇ',
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'c': 'ᶜ',
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'd': 'ᵈ',
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'e': 'ᵉ',
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'f': 'ᶠ',
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'g': 'ᵍ',
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'h': 'ʰ',
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'i': 'ⁱ',
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'j': 'ʲ',
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'k': 'ᵏ',
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'l': 'ˡ',
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'm': 'ᵐ',
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'n': 'ⁿ',
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'o': 'ᵒ',
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'p': 'ᵖ',
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'r': 'ʳ',
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's': 'ˢ',
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't': 'ᵗ',
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'u': 'ᵘ',
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'v': 'ᵛ',
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'w': 'ʷ',
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'x': 'ˣ',
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'y': 'ʸ',
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'z': 'ᶻ'
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}
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function toSuperScript(x) {
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return x.split('').map(function(c) {
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if(c in SUPERSCRIPTS) {
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return SUPERSCRIPTS[c]
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}
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return ''
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}).join('')
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}
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