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norm provides normalization and norm metric computations, e.g., L2 = sqrt of sum of squares of a vector. The basic functions operate on either []float32 or []float64 data, but Tensor versions are available too.
- DivNorm does divisive normalization of elements
- SubNorm does subtractive normalization of elements
- ZScore subtracts the mean and divides by the standard deviation
- Abs performs absolute-value on all elements (e.g., use prior to tsragg to produce Mean of Abs vals etc).