NormForm
scalation.mathstat.NormForm
The NormForm class applies the Z-transformation/normalization/standardization (subtract mean b(0) and divide by standard deviation b(1)). Like ''StandardScalar'' in sk-learn.
Value parameters
- robust
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whether to add a small value (ε) to the standard deviation to avoid DBZ when a whole column has zero stdev (σ) it should be removed in pre-processing
- x_
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the input vector or matrix to be transformed (needed to get w)
Attributes
- See also
-
www.geeksforgeeks.org/machine-learning/standardscaler-minmaxscaler-and-robustscaler-techniques-ml/ x -> (x - μ)/σ robust version: (x - μ)/(σ + ε) or (x - μ)/√(σ² + ε)
- Graph
-
- Supertypes
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