This repo documents my learning experience with Azure ML. It is most on how to use Azure ML programmetically, as it's the way most techical personnel use it.
-
local_experiment.ipynb covers how to create an Azure ML Experiment and use its native logging functionalities to record metrics
-
local_mlflow_experiment.ipynb covers how to use MLflow's logging capabilities in an Azure ML Experiment
-
retrieve_data_from_experiments.ipynb demonstrates how to retrieve metrics, logs, artifacts and other outputs from experiment runs