StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
25 lines
441 B
25 lines
441 B
4 years ago
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module.exports = normalize
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/**
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* Normalize a vec4
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*
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* @param {vec4} out the receiving vector
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* @param {vec4} a vector to normalize
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* @returns {vec4} out
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*/
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function normalize (out, a) {
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var x = a[0],
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y = a[1],
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z = a[2],
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w = a[3]
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var len = x * x + y * y + z * z + w * w
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if (len > 0) {
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len = 1 / Math.sqrt(len)
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out[0] = x * len
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out[1] = y * len
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out[2] = z * len
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out[3] = w * len
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}
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return out
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}
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