Export and import models


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.