i am currently getting into Azure Machine Learning. I am trying out the learning path for Data Scientists. In that learning path, the Designer is introduced, where Pipelines are being published to be consumed as a real time inference pipeline.
Since I dont want to use the Designer all the time I want to do the same in python and convert the tutorial inference pipeline (here: https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/inference-pipeline) to a python script for deployment. For that I am refering to the learning path on how to deploy a model (here: https://docs.microsoft.com/en-us/learn/modules/register-and-deploy-model-with-amls/2-deploy-model).
My current issue is that in the designer inference pipeline the transformation steps seem to get a transformation function to transform new incoming data based on the transformation that was done during training. The ressources in the azure documentation do not explain anywhere on how to retrieve this function from a training pipeline to do the same transformation in an entry script using python.
I would be happy if you could help me with this issue since I am eager to learn and use Azure Machine Learning in the future.
Best regards and Thank you.