Azure / Azure/azureml-examples

DockerFile Build

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bug
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Description

### Operating System

Windows

### Version Information

No Relevant

### Steps to reproduce

docker build .

### Expected behavior

Build is successful.

### Actual behavior

Build fail.
![image](https://github.com/user-attachments/assets/055ae975-ea1d-4bf4-8453-b988133d10cd)

If I am able to proceed: I get the error when installing azure-ml==0.0.139 (blob is not found in given URL)
![image](https://github.com/user-attachments/assets/6a62fc39-6ae3-44e6-8ade-9df81eb881c1)

### Addition information

Perhaps we should use a default image maintained by azureml team instead of configuring from scratch the image using ubuntu and anaconda. Azure ml sdk is recommended to use with python >=3.9 so we should update the container and code to use this version.

Contributor guide

Open the contributing guide

Research direction

Start by running `docker build .` and inspect the Dockerfile and dependency configuration used by the container. Check the failing `azure-ml==0.0.139` installation and the Python version used by the image. Done means the container builds successfully and the Azure ML dependency installs from an available source.

Written by the indexing model from the issue text.

Assessment

Tech stack
anaconda, azure, docker, python
Domain
build-system, cloud
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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