Closed ATFischer closed 1 year ago
I caught the issue within the calculate_model_stats function of write_json_files. Unfortunately, the Python json package does not include a method or option to adjust the float NaN's to null. I know that the simplejson package includes a way to adjust the values, but I want to avoid adding additional dependency requirements.
I found what I believe is the crux point of where the NaN values are showing up (caused by translation of the SAS dataframe output from the ASSESS action) and put in a check with pandas to replace float NaN's with Nonetype objects. These will convert to null when dumped to the json object.
Commit 4684052 should fix the issue.
Describe the issue write_var_json generates NaN values in the JSON files, which is not a valid JSON value. As a result, the imported models can't be compared in SAS Model Manager.
To Reproduce Train a model and use the write_var_json method.
Expected behavior All missings should have the value null.
Stack Trace If you're experiencing an exception, include the full stack trace and error message.
Version 1.9.0