Optionaloptions: CallOptionsDeletes a WorkspaceBaseEnvironment. Deleting a base environment may impact linked notebooks and jobs. This operation is irreversible and should be performed only when you are certain the environment is no longer needed.
Optionaloptions: CallOptionsGets the default WorkspaceBaseEnvironment configuration for the workspace. Returns the current default base environment settings for both CPU and GPU compute.
Optionaloptions: CallOptionsRetrieves a WorkspaceBaseEnvironment by its name.
Optionaloptions: CallOptionsLists all WorkspaceBaseEnvironments in the workspace.
workspace-base-environments/databricks_ai_...: includes popular AI and deep learning packages for serverless GPU compute.
workspace-base-environments/databricks_ml_...: includes popular ML packages for serverless compute.
Databricks-provided base environments are versioned. For example, workspace-base-environments/databricks_ml_v5 corresponds to the ML environment built on environment version 5.
Optionaloptions: CallOptionsOptionaloptions: CallOptionsRefreshes the materialized environment for a WorkspaceBaseEnvironment. This is a long-running operation. The operation will asynchronously regenerate the materialized environment and is only marked as done when the materialized environment has been successfully generated or has failed. The existing materialized environment remains available until it expires.
Optionaloptions: CallOptionsUpdates the default WorkspaceBaseEnvironment configuration for the workspace. Sets the specified base environments as the workspace defaults for CPU and/or GPU compute.
Optionaloptions: CallOptionsUpdates an existing WorkspaceBaseEnvironment. This is a long-running operation. The operation will asynchronously regenerate the materialized environment and is only marked as done when the materialized environment has been successfully generated or has failed. The existing materialized environment remains available until it expires.
Optionaloptions: CallOptions
Creates a new WorkspaceBaseEnvironment. This is a long-running operation. The operation will asynchronously generate a materialized environment to optimize dependency resolution and is only marked as done when the materialized environment has been successfully generated or has failed.