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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25 lines
500 B
25 lines
500 B
"use strict"
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var convexHull1d = require('./lib/ch1d')
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var convexHull2d = require('./lib/ch2d')
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var convexHullnd = require('./lib/chnd')
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module.exports = convexHull
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function convexHull(points) {
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var n = points.length
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if(n === 0) {
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return []
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} else if(n === 1) {
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return [[0]]
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}
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var d = points[0].length
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if(d === 0) {
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return []
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} else if(d === 1) {
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return convexHull1d(points)
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} else if(d === 2) {
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return convexHull2d(points)
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}
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return convexHullnd(points, d)
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} |