Export and import models

Note

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

To save models, use the MLflow functions log_model and save_model. You can also save models using their native APIs onto Databricks File System (DBFS). For MLlib models, use ML Pipelines.