When using most recent versions of the cluster labs 2 and 4 (MLFlow and AutoML) fail in the ILT training
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- machine-learning
- Domain
- documentation, machine-learning
Research direction
Start with the instructions for cluster labs 2 and 4 and reproduce the package-missing failures using the ML checkbox and recent cluster runtimes. Compare the documented runtime requirement with current Azure Databricks updates, then update the instructions so both the MLFlow and AutoML labs complete successfully.
Written by the indexing model from the issue text.
Description
The instructions mention using a version of cluster runtime above a given one, and so in the most recent versions, the packages automl, and mlflow are not working as expected, resulting in the labs failing with package missing error (clusters are created using the ML checkbox checked, tried multiple runtimes even the earliest ones but the instruction is outdated) - needs to be checked and updated with respect to the ADB recent updates
- Dominant language
- PowerShell
- Stars
- 81
- Forks
- 108
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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