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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39 lines
759 B
39 lines
759 B
/* @module to-float32 */
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'use strict'
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module.exports = float32
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module.exports.float32 =
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module.exports.float = float32
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module.exports.fract32 =
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module.exports.fract = fract32
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var narr = new Float32Array(1)
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// return fractional part of float32 array
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function fract32 (arr) {
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if (arr.length) {
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var fract = float32(arr)
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for (var i = 0, l = fract.length; i < l; i++) {
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fract[i] = arr[i] - fract[i]
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}
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return fract
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}
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// number
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return float32(arr - float32(arr))
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}
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// make sure data is float32 array
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function float32 (arr) {
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if (arr.length) {
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if (arr instanceof Float32Array) return arr
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var float = new Float32Array(arr)
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float.set(arr)
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return float
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}
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// number
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narr[0] = arr
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return narr[0]
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}
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