Model doesn't run after submit - local compute

参照されている例とその train.py から始め、次に、示されている Workspace、Environment、ScriptRunConfig、Experiment の設定を使ってローカルのターゲット送信を再現します。実行が「starting」のままになる理由と、ローカルディレクトリに churn-model.pkl が存在することが想定されているかを確認します。完了の条件は、想定されるローカル実行の動作とアーティファクトの場所が文書化または修正されていることです。

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?

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• ID: eb938463-51c2-43f3-d528-76a07a28bec8
• Version Independent ID: e15753c0-6fe1-100a-0efc-08c1f845dc83
• Content: Azure Machine Learning SDK for Python - Azure Machine Learning Python
• Content Source: AzureML-Docset/docs-ref-conceptual/index.md
• Service: machine-learning
• Sub-service: core
• GitHub Login: @cjgronlund
• Microsoft Alias: cgronlun