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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30 lines
632 B
30 lines
632 B
'use strict'
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var tape = require('tape')
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var crad = require('../crad')
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tape('fuzz', function(t) {
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for(var d=2; d<5; ++d) {
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for(var i=0; i<100; ++i) {
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var radius = Math.random()
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var points = []
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for(var j=0; j<=d; ++j) {
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var p = new Array(d)
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var pl = 0.0
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for(var k=0; k<d; ++k) {
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p[k] = Math.random() - 0.5
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pl += Math.pow(p[k], 2)
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}
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pl = radius/Math.sqrt(pl)
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for(var k=0; k<d; ++k) {
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p[k] *= pl
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}
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points.push(p)
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}
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t.ok(Math.abs(crad(points) - radius) < 1e-4, 'radius ok d=' + d)
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}
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}
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t.end()
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}) |