Create automated work-flows
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- Dominant language
- Python
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Description
I propose the following two work flows to be developed using the comment-trigger workflow:
/scale-run
Run the model at scale (50k) using scale_run.py, 2010-2030, cycling through:
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multiple seeds
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multiple health-system configurations:
disable_and_reject_all=Truemode=0,mode=2
And posting errors to the comments.
[I think this might be done already?]
/calib
Generate the standard set of graphics that we are using to assess the calibration of the model to demographic and epidemiological data.
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Run the scripts in this folder and post the figures from each to the comment thread:
(One of which analysis_hsi_descriptions.py under development in https://github.com/UCL/TLOmodel/pull/436).
(Not sure if/how these scripts need to be modified to make then amenable this kind of usage).
/hsi-effects
The aim here is to produce a summary figure of the effect of disallowing each TREATMENT_ID from being run, compared to when all TREATEMENT_IDs can run, in terms of the different in deaths/dalys by age/sex. Code is under development: https://github.com/UCL/TLOmodel/issues/515
Contributor 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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