Guessing correctly the EM_EVENTPROBABILITY in scoring code

When using pzmm.ImportModel.import_model for wirting scoring code for binary/multinomial classification it assumes from result = SKmodel.predict_proba(...) that the result[0] is the target variable probability and assigns it to EM_EVENTPROBABILITY, which may be incorrect, the levels probability may be in a distinct column.

At least for classification models, you can get the probability class labels and orders from SKmodel.classes_. If the user adds something like targetevent = "label", we could use it to assign the correct column of probability to EM_EVENTPROBABILITY.

It is likely that this only works for classification, and should not be confused when the model is a regression.

Iniziare da pzmm.ImportModel.import_model e analizzare come SKmodel.predict_proba(...) viene mappato su EM_EVENTPROBABILITY. Confrontare le colonne delle probabilità con SKmodel.classes_, quindi determinare come un valore di targetevent potrebbe selezionare la classe corretta per la classificazione binaria e multinomiale senza influire sul comportamento della regressione. Verificare il comportamento risultante con i test pertinenti del progetto.