databricks Module

Reference

Contains functionality for managing Databricks environments in Azure Machine Learning.

For more information on working with Databricks in Azure Machine Learning, see Configure a development environment for Azure Machine Learning.

Classes

DatabricksCluster	Defines Databricks cluster information for use in a DatabricksSection. Initialize.
DatabricksEnvironment	DEPRECATED - A class for managing DatabricksEnvironment. Use the DatabricksSection. Class DatabricksEnvironment constructor.
DatabricksSection	Defines library dependencies for a cluster in Databricks. Use the DatabricksSection object with the class attribute `databricks` of the Environment class. Class DatabricksSection constructor.
EggLibrary	Specifies an Egg library for use in a DatabricksStep pipeline step. For an example of working with a DatabricksStep and specifying libraries, see the notebook https://aka.ms/pl-databricks. Initialize EggLibrary.
JarLibrary	Specifies a JAR library for use in a DatabricksStep pipeline step. For an example of working with a DatabricksStep and specifying libraries, see the notebook https://aka.ms/pl-databricks. Initialize JarLibrary.
MavenLibrary	Specifies a Maven library for use in a DatabricksStep pipeline step. For an example of working with a DatabricksStep and specifying libraries, see the notebook https://aka.ms/pl-databricks. Initialize MavenLibrary.
PyPiLibrary	Specifies a PyPi library for use in a DatabricksStep pipeline step. For an example of working with a DatabricksStep and specifying libraries, see the notebook https://aka.ms/pl-databricks. Initialize PyPiLibrary.
RCranLibrary	Specifies a CRAN library for use in a DatabricksStep pipeline step. For an example of working with a DatabricksStep and specifying libraries, see the notebook https://aka.ms/pl-databricks. Initialize RCranLibrary.