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.