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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10 lines
238 B
10 lines
238 B
4 years ago
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module.exports = function normalize(out, mat) {
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var m44 = mat[15]
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// Cannot normalize.
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if (m44 === 0)
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return false
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var scale = 1 / m44
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for (var i=0; i<16; i++)
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out[i] = mat[i] * scale
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return true
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}
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