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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42 lines
1018 B
42 lines
1018 B
'use strict'
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var getBounds = require('array-bounds')
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module.exports = normalize;
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function normalize (arr, dim, bounds) {
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if (!arr || arr.length == null) throw Error('Argument should be an array')
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if (dim == null) dim = 1
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if (bounds == null) bounds = getBounds(arr, dim)
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for (var offset = 0; offset < dim; offset++) {
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var max = bounds[dim + offset], min = bounds[offset], i = offset, l = arr.length;
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if (max === Infinity && min === -Infinity) {
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for (i = offset; i < l; i+=dim) {
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arr[i] = arr[i] === max ? 1 : arr[i] === min ? 0 : .5
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}
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}
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else if (max === Infinity) {
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for (i = offset; i < l; i+=dim) {
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arr[i] = arr[i] === max ? 1 : 0
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}
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}
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else if (min === -Infinity) {
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for (i = offset; i < l; i+=dim) {
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arr[i] = arr[i] === min ? 0 : 1
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}
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}
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else {
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var range = max - min
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for (i = offset; i < l; i+=dim) {
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if (!isNaN(arr[i])) {
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arr[i] = range === 0 ? .5 : (arr[i] - min) / range
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}
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}
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}
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}
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return arr;
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}
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