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.
When using
pzmm.ImportModel.import_modelfor wirting scoring code for binary/multinomial classification it assumes fromresult = SKmodel.predict_proba(...)that theresult[0]is the target variable probability and assigns it toEM_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 liketargetevent = "label", we could use it to assign the correct column of probability toEM_EVENTPROBABILITY.It is likely that this only works for classification, and should not be confused when the model is a regression.