Track ML Model training data with Delta Lake

Note

The managed MLflow integration with Databricks on Google Cloud requires Databricks Runtime for Machine Learning 8.1 or above.

The following notebook demonstrates how to use MLflow with Delta Lake to track and reproduce the training data used for ML model training, as well as identify ML models and runs derived from a particular dataset.

MLflow training data in Delta Lake notebook

Open notebook in new tab