stationwise batch-normalisation not supported anymore
Due to developments of #202 (closed), the stationwise normalisation (each station train data has mean=0, std=1) former called
scope="station" (in contrast to
scope="data") is not supported on the preprocessing side (but still on the postprocessing as far as I can say). If this "feature" is of interest again, the code namely preprocessing and data handler parts must be adjusted.
First idea: It could be sufficient to skip the general transformation step. But how to deal with the remaining subsets? Is there an attribute that is stored for each station separately? (Something like an additional subscope in the data store like
general.train.DEBW107). Maybe this could be much easier, if #204 is solved in that way, that the remaining subsets are some kind of copy. Therefore the parameters wouldn't be reloaded and the already estimated transformation from the train subset can be used.