HI Experts,
I have Gradient Boosting and Random Forest models developed in Python and I converted them into PMML v4.2. I'm not able to convert them into SAS DS format using Proc Pscore. I'm getting a couple of errors in the log which are not very informative.
Error while converting Random Forest Model: ERROR: Improper value of attribute Name in MiningField. (I checked my PMML file but could not debug the case)
ERROR while converting the Gradient Boosting Model: ERROR: Given PMML File is not well-formed or correct, error near line number: 49.
My question can we actually convert these Advanced models into SAS DS?
I have found out that
Proc pscore supports neither the random forest model nor the gradient boosting model.
I have found out that
Proc pscore supports neither the random forest model nor the gradient boosting model.
Good news: We've extended SAS Hackathon registration until Sept. 12, so you still have time to be part of our biggest event yet – our five-year anniversary!
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.