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OxCGRT data merge, npi model computation docker deployment #523
Commits on Aug 14, 2020
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504 - Extending the NPI model data
* added a dummy featrues for every intervention which is turned on when a intervention is turned of for the first time and turned of when the original intervention is put in place again. * extended the data for another month by using th last know countermeasures in each region and data from johns hopkins
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maybe resolving failing dependency installation in github actions by …
…updating pip and setuptools
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Commits on Aug 25, 2020
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Prepared docker container which can be run on GCP compute instances from github pipelines defined conda environment to accelerate the computation of the npi model
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Commits on Aug 26, 2020
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removed steps from compute npi workflow
* don't run previous steps in workflows, instead download the latest r_estimates.csv inside docker. The other steps are quick Created a script which deletes the instance when docker exits. This script is copied to the GCP console, but I included it in the repo for consistency
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screw instance templates, it just refuses to work - defining the inst…
…ance in the command
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Commits on Aug 27, 2020
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Commits on Aug 28, 2020
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removed the startup script, killing the instance from the docker cont…
…ainer, reformatted code
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Filter out subregions from OxCGRT data
* OxCGRT added data for subregions (e.g. US states) which broke the pipeline. Fix is to filter it out, but we might use them in the future
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Commits on Sep 1, 2020
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* Triggering the npi-model computing workflow manually * More tune interactions of the model (to hopefully shrink the confidence interval) * Made sure that each NUTS sampling process created by pymc3 only uses one thread - The parallelization doesn't work and this greatly speeds up the computation
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Commits on Sep 2, 2020
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