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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33 lines
658 B
33 lines
658 B
"use strict"
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module.exports = triangulateCube
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var perm = require("permutation-rank")
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var sgn = require("permutation-parity")
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var gamma = require("gamma")
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function triangulateCube(dimension) {
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if(dimension < 0) {
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return [ ]
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}
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if(dimension === 0) {
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return [ [0] ]
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}
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var dfactorial = Math.round(gamma(dimension+1))|0
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var result = []
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for(var i=0; i<dfactorial; ++i) {
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var p = perm.unrank(dimension, i)
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var cell = [ 0 ]
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var v = 0
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for(var j=0; j<p.length; ++j) {
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v += (1<<p[j])
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cell.push(v)
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}
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if(sgn(p) < 1) {
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cell[0] = v
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cell[dimension] = 0
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}
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result.push(cell)
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}
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return result
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} |