MetOffice / MetOffice/XBTs_classification
Add python logger to experiment framework
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- 4
- Forks
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Description
When running in production mode, we will need detailed logging of what was done to produce the probe type classification, so we have an audit trail for the final ocean temperature dataset. This is best done through a proper logging library, such as the python logger, which allows for different level of output so we can get production, quiet, debug etc. output when needed.
Contributor guide
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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.
Research direction
No file, test, or entry point is named. Start by locating the experiment framework code that produces the probe type classification, then determine where production, quiet, and debug output should be configured; done means a Python logging setup provides those levels and an audit trail for the final ocean temperature dataset.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100