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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34 lines
680 B
34 lines
680 B
module.exports = transpose
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/**
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* Transpose the values of a mat3
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*
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* @alias mat3.transpose
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* @param {mat3} out the receiving matrix
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* @param {mat3} a the source matrix
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* @returns {mat3} out
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*/
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function transpose(out, a) {
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// If we are transposing ourselves we can skip a few steps but have to cache some values
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if (out === a) {
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var a01 = a[1], a02 = a[2], a12 = a[5]
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out[1] = a[3]
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out[2] = a[6]
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out[3] = a01
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out[5] = a[7]
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out[6] = a02
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out[7] = a12
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} else {
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out[0] = a[0]
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out[1] = a[3]
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out[2] = a[6]
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out[3] = a[1]
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out[4] = a[4]
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out[5] = a[7]
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out[6] = a[2]
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out[7] = a[5]
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out[8] = a[8]
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}
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return out
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}
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