Hyperparameter Tuning with MLflow and Optuna

MLFlow optuna hyperparameter tuning

we venture into a frequent use case of MLflow Tracking: hyperparameter tuning

our focal points will be:

• Introducing the capabilities of MLflow for tracking hyperparameter tuning
• Understanding the distinction between parent and child runs in MLflow
• Delving into the components of MLflow and their relevance in our workflow
• Discovering and navigating experiments, parent runs, and child runs in the MLflow UI
• Conducting a comparative analysis of runs to understand the nuances of hyperparameter tuning

Reference List

1. https://mlflow.org/docs/latest/traditional-ml/hyperparameter-tuning-with-child-runs/index.html