Introduction
Training and evaluating machine learning models is an iterative process that can require experimentation to identify the best combination of training algorithm and hyperparameter values for your data.
Azure Databricks includes an AutoML capability that automates training and validation using various algorithms and hyperparameter values; vastly reducing the effort required to run and track model training experiments.
This module describes how to use AutoML in Azure Databricks to automate model training so you can reduce the effort required to create effective machine learning solutions.