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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							26 lines
						
					
					
						
							554 B
						
					
					
				| 'use strict'
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| 
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| module.exports = normalize;
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| 
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| function normalize (arr, dim) {
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| 	if (!arr || arr.length == null) throw Error('Argument should be an array')
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| 
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| 	if (dim == null) dim = 1
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| 	else dim = Math.floor(dim)
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| 
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| 	var bounds = Array(dim * 2)
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| 
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| 	for (var offset = 0; offset < dim; offset++) {
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| 		var max = -Infinity, min = Infinity, i = offset, l = arr.length;
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| 
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| 		for (; i < l; i+=dim) {
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| 			if (arr[i] > max) max = arr[i];
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| 			if (arr[i] < min) min = arr[i];
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| 		}
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| 
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| 		bounds[offset] = min
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| 		bounds[dim + offset] = max
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| 	}
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| 
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| 	return bounds;
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| }
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| 
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