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Model doesn't run after submit - local compute

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
30/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Stale
Tech stack
machine-learning, python
Domain
cloud, machine-learning

Research direction

Start with the referenced example and its train.py, then reproduce the local target submission using the shown Workspace, Environment, ScriptRunConfig, and Experiment setup. Check why the run remains in “starting” and whether churn-model.pkl is expected in the local directory; done means the expected local execution behavior and artifact location are documented or corrected.

Written by the indexing model from the issue text.

Description

I'm running the following from the example:

from azureml.core import Workspace
from azureml.core.experiment import Experiment
from azureml.core.environment import Environment
from azureml.core.conda_dependencies import CondaDependencies
from azureml.core import ScriptRunConfig, Experiment

ws = Workspace.get(name="ws_name", subscription_id='id', resource_group='rg')
myenv = Environment(name="myenv")
runconfig = ScriptRunConfig(source_directory="../src", script="train.py")
conda_dep = CondaDependencies()

conda_dep.add_conda_package("numpy==1.17.0")
conda_dep.add_pip_package("sklearn")
conda_dep.add_pip_package("joblib")

myenv.python.conda_dependencies=conda_dep

exp = Experiment(name="test-experiment", workspace = ws)
runconfig.run_config.target = "local"
runconfig.run_config.environment = myenv
run = exp.submit(runconfig)

train.py is the same as shown in the Tutorial. I'm expecting a churn-model.pkl to be saved in my local directory. However, that doesn't happen. When I check the Experiment section on the AzureML dashboard, the status shows 'starting'.

Or do I need an additional command in order to actually launch the job?

Document Details

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