You use an Azure Machine Learning workspace.

Box 1: No

Environment is a required parameter. The environment to use for the run. If no environment is specified, azureml.core.runconfig.DEFAULT_CPU_IMAGE will be used as the Docker image for the run.

The following example shows how to instantiate a new environment.

from azureml.core import Environment

myenv = Environment(name="myenv")

Box 2: Yes

Parameter compute_target: The compute target where training will happen. This can either be a ComputeTarget object, the name of an existing ComputeTarget, or the string "local". If no compute target is specified, your local machine will be used.

Box 3: Yes

Parameter source_directory. A local directory containing code files needed for a run.

Parameter script. The file path relative to the source_directory of the script to be run.