Azure Machine Learning
An Azure machine learning service for building and deploying models.
"no module named azure.storage" while using ScriptRunConfig to submit run.
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Anonymous
I am trying to download pickle files from blob container and using ScriptRunConfig object to submit a Run.
I am stuck and getting the following error:
ModuleNotFoundError: No module named 'azure.storage'
Any help is appreciated please.......
my environment.yml file consists of the following below:
name: azuremlenv
dependencies:
- python=3.8
- pip=21.0.1
- pip:
- azureml-defaults
- azureml-core
- azureml-mlflow
- azureml-sdk
- azure-storage
- azure-storage-blob
- azure-mgmt-datafactory
- azure-functions
- azure-functions-durable
- scikit-learn==0.24.1
- pandas==1.2.4
- seaborn==0.11.1
- tqdm==4.61.2
- matplotlib==3.3.4
- pandas-schema==0.3.6
Azure Machine Learning
Azure Blob Storage
Azure Blob Storage
An Azure service that stores unstructured data in the cloud as blobs.
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YutongTie-MSFT 54,011 Reputation points Moderator2022-05-17T05:04:19.233+00:00 Hello @Anonymous
May I know how your code looks like? My concern is you may install azure.storage successfully in your env but you are not running your code in this env. If this is not confidential, could you please share it to us? Or you can share the guidance/ document you are following to so that I can reproduce it.
Thanks a lot.
Regards,
Yutong -
Anonymous
2022-05-17T16:06:40.037+00:00 Hi Yutong,
The code is as below:
env = Environment.from_conda_specification("ufm_env", file_path="./environment.yml") env.docker.base_image = "mcr.microsoft.com/azureml/curated/sklearn-1.0-ubuntu20.04-py38-cpu:18" env.python.user_managed_dependencies = True docker_config = DockerConfiguration(use_docker=True) src = ScriptRunConfig(source_directory=SOURCE_FOLDER_PATH, script=SCRIPT_FILE_TO_EXECUTE, arguments=EXECUTE_ARGUMENTS, compute_target=compute_target, environment=vm_env)The error I get is below:
from azure.storage.blob import BlobServiceClient\n[stderr]ModuleNotFoundError: No module named 'azure.storage'\n[stderr]\n","process_name":"python","error_file":"user_logs/std_log.txt"}], 'target': , 'category': UserError, 'error_details': [{'key': exit_codes, 'value': 1}, ], 'inner_error': null}
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