How to Install Libraries on Databricks

You can install libraries in Databricks at the cluster level for libraries commonly used on a cluster, at the notebook-level using %pip, or using global init scripts when you have libraries that should be installed on all clusters.

The Databricks ML runtime comes with many commonly used ML libraries pre-installed including sklearn, Tensorflow, and XGBoost (AWS | Azure | GCP)

You can learn more at this page (AWS | Azure | GCP). Let us know in the comments if you have any questions on library dependency!