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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23 lines
570 B
23 lines
570 B
4 years ago
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var decomposeMat4 = require('./')
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var test = require('tape').test
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var mat = require('gl-mat4')
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var normalize = require('./normalize')
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test("normalize a 3D matrix", function(t) {
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var m = Array.prototype.slice.call(mat.create())
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mat.scale(m, m, [2, 2, 2])
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mat.translate(m, m, [4, 5, 2])
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m[15] = 2
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var out = []
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var n = normalize(out, m)
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t.equal(n, true, 'can normalize')
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t.deepEqual(out, [ 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 4, 5, 2, 1 ])
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m[15] = 0
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n = normalize(out, m)
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t.equal(n, false, 'cannot normalize')
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t.end()
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})
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