extract rules from random forest model

[stellarr]

I have a trained model with hpforest proceduce and saved it as a binary file.
Is it possible to extract the rules of the model ?

[ballardw]

It might help someone that knows more about this topic to show the code that created your model and how you saved the model.

Sometimes different options limit what may be stored. So if you have used such that person that understands the topic better than I may suggest changes to the code to rebuild the model in a way that will allow you to do what you request.

[stellarr]

Thanks for the suggesting, below is the code. I'm using SASPY which uses thePROC HPFOREST 

The saved model is the rf.bin binary file. The goal is to extract the rules from the rf.bin.Just like in decision tree we can WHOLETREEPLOT for  HPSPLIT .

hpforest_model = ml.hpforest(data=hmeq, 
                             input=var_inputs, 
                             target="BAD /level = binary",
                             score = "out = work.forest_score",
                             save = "rf.bin",
                             id = "_PartInd_",
                             partition="rolevar=_partind_(TRAIN='1' VALIDATE='0');")