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.

Comience en pzmm.ImportModel.import_model e inspeccione cómo se asigna SKmodel.predict_proba(...) a EM_EVENTPROBABILITY. Compare las columnas de probabilidades con SKmodel.classes_ y, a continuación, determine cómo un valor de targetevent podría seleccionar la clase correcta para la clasificación binaria y multinomial sin afectar al comportamiento de la regresión. Verifique el comportamiento resultante con las pruebas relevantes del proyecto.