I have created a pipeline in Azure Machine Learning Designer. Below is the training pipeline. As you can see I have created a custom python model as I have a requirement to use an external package known as K-Modes (pip install modes). I have created a real-time inference pipeline off the back of the training pipeline and it ran successfully. When I deploy the inference pipeline, it is in a healthy state however I can not consume or test it.
In python, I get this error when trying to consume it.
{'error': {'code': 500, 'message': 'Internal Server Error. Run: Server internal error is from Module Score Model', 'details': ''}}
The Module Score Model has completed successfully and is green in the inference pipeline.
