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When building an ML training pipeline, a Python version incompatibility issue is being thrown:
[9/10] COPY target/example-machine-learning-training/dist /modules/example-machine-learning-training [done: 28ms]
[10/10] RUN set -e && cd /modules/example-machine-learning-training; for x in *.whl; do pip install $x --no-cache-dir --no-deps; done
→ Processing ./example_machine_learning_training-1.0.0.dev0-py3-none-any.whl
→ INFO: pip is looking at multiple versions of example-machine-learning-training to determine which version is compatible with other requirements. This could take a while.
→ ERROR: Package 'example-machine-learning-training' requires a different Python: 3.11.0 not in '<4.0.0,>=3.11.4'
Description
When building an ML training pipeline, a Python version incompatibility issue is being thrown:
Steps to Reproduce
Expected Behavior
The docker container for ML training should be built without issue.
Additional Context
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