Logging and Fetching Run Parameters in AzureML

Question

I am able to log and fetch metrics to AzureML using Run.log, however, I need a way to also log run parameters, like Learning Rate, or Momentum. I can't seem to find anything in the AzureML Python SDK documentation to achieve this. However, if I use MLflow's mlflow.log_param, I am able to log parameters, and they even nicely show up on the AzureML Studio Dashboard (bottom right of the image):

Again, I am able to fetch this using MLflow's get_params() function, but I can't find a way to do this using just AzureML's Python SDK. Is there a way to do this directly using azureml?

Answer 1

The retrieving of log run parameters like Learning Rate, or Momentum is not possible with AzureML alone. Because it was tied with MLFlow and azureml-core. without those two involvements, we cannot retrieve the log run parameters.

pip install azureml-core mlflow azureml-mlflow

Need to install these three for getting run parameters. Link