NSSDNScaling#

cultivars.experimental.spectral.NSSDNScaling = Scaling#

Alias of Literal['minmax', 'none'].

How the sample is scaled before training.

"minmax" maps the sample to [-1, 1] with constants the result keeps and inverts, so every reported path is on the original scale unless asked for in training units. "none" trains on the raw series.