Tune hyperparameters with Azure Databricks
In Azure Databricks, you can automate the process of hyperparameter tuning to more easily identify the best model.
Learning objectives
After completing this module, you will be able to:
- Understand hyperparameter tuning and its role in machine learning.
- Learn how to use the two open-source tools - automated MLflow and Hyperopt - to automate the process of model selection and hyperparameter tuning.
Prerequisites
Before starting this module, you should be familiar with using Python to train machine learning models in Azure Databricks.