pp_vsn — Variable Sorting Normalization¶
Group: Signal transforms · Binding: n4m.sklearn.VariableSortingNormalization · C ABI: n4m_pp_vsn_*
Description¶
VSN-style data-derived weighted SNV.
Parameters¶
Name |
Type |
Default |
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Explanations¶
Bibliographic source¶
Standard spectroscopic operator — see the nirs4all preprocessing / augmentation handbook and the cited literature within the binding docstring.
Mathematical principle¶
VSN-style data-derived weighted SNV.
Implementation¶
C ABI n4m_pp_vsn_* in libn4m (create / apply / destroy lifecycle), wrapped by n4m.sklearn.VariableSortingNormalization. The same numerical kernel backs every language binding.
Usage¶
from n4m.sklearn import VariableSortingNormalization
op = VariableSortingNormalization()
X_transformed = op.fit_transform(X)
See also: methods index · interactive dashboard