Even when my model uploads successfully, I still get warnings. Is that OK?

Yes, it is OK. Warnings are generated whenever ADAPA finds inconsistencies in the PMML file which do not affect scoring. However, you should check all warnings even if you get a perfect score match, i.e. your model validates fine.

For example, if you upload the model "Iris_SVM" from the PMML Examples page of the Zementis website, you will get warnings. If you click on the "warnings" hyperlink in the ADAPA Predictive Analytics demo, you will get a file back entitled "uploadedFile.xml". By opening this file in your XML editor, you will be able to see the PMML model you just uploaded with all detected warnings embedded into it as PMML extensions. ADAPA will also generate a comment on the top of the file giving a summary of its findings. For the "Iris_SVM" model, this reads as follows:

Comment generated by ADAPA: There are at least 6 warnings in this PMML document.
Detailed information can be found as comments or as Extension elements embedded in the appropriate locations within this document.

The first warning talks about the timestamp which is not in the right format. For all other warnings look for PMML extensions with name = "WARNING".