# Code for Local computer and Submit training run sections # Check core SDK version number import azureml.core print("SDK version:", azureml.core.VERSION) # from azureml.core.runconfig import RunConfiguration # Edit a run configuration property on the fly. run_local = RunConfiguration() run_local.environment.python.user_managed_dependencies = True # from azureml.core import Workspace ws = Workspace.from_config() # Set up an experiment # from azureml.core import Experiment experiment_name = 'my_experiment' exp = Experiment(workspace=ws, name=experiment_name) # # Submit the experiment using the run configuration # from azureml.core import ScriptRunConfig import os script_folder = os.getcwd() src = ScriptRunConfig(source_directory = script_folder, script = 'train.py', run_config = run_local) run = exp.submit(src) run.wait_for_completion(show_output = True) #