Azure / Azure/azureml-examples
DockerFile Build
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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.

If I am able to proceed: I get the error when installing azure-ml==0.0.139 (blob is not found in given URL)

### 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
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