JarCastingarray-normalize 
Normalize array to unit length, that is 0..1 range. See feature scaling.
const normalize = require('array-normalize')
normalize([0, 50, 100]) // [0, .5, 1]
normalize([0, 0, .1, .2, 1, 2], 2) // [0, 0, .1, .1, 1, 1]
normalize([0, .25, 1, .25], 2, [0, .5, 1, .5]) // [0, .5, 1, .5])
API
array = normalize(array, stride=1, bounds?)
Normalizes n-dimensional array in-place using optional stride for n-dimensions, ie. for 2d data layout is [x, y, x, y, ...].
Every dimension is normalized independently, eg. 2d array is normalized to unit square [0, 0, 1, 1].
Optional bounds box can predefine min/max to skip bounds detection.
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