Add a popular scaling method to feature component, which is commonly known as min-max normalization or Rescaling.
Core function is,
Normalized( x ) = (x - min) / (max - min) * scale + newBase
where newBase and scale are parameters of the VectorTransformer. newBase is the new minimum number for the feature, and scale controls the range after transformation. This is a little complicated than the basic MinMax normalization, yet it provides flexibility so that users can control the range more specifically. like [0.1, 0.9] in some NN application.
for case that max == min, 0.5 is used as the raw value.