Comments (2)
@famulare I might have resolved this in my branch. My RDS files are now around ~21mb on average from the folder you gave me vs 81 at their original size. I switched to compression at level 9. It is slower during the save but that should be worth the trade off. You can take a look at relevant code at https://github.com/seattleflu/incidence-mapper/blob/load-save-model/modelServR/R/saveModel.R#L136
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has been incorporated into modelServR
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Related Issues (20)
- make selectFromDB and smoothModel understand flu_shot = (yes,no, dontknow) HOT 1
- investigate priors in smoothModel by looking at posterior distributions of non-existent sites
- Census tract should be a string HOT 2
- adjust for age in latentField models HOT 1
- explore "health reporting areas" as human-readable shapenames that work across counties HOT 1
- add concept of flu_season and interactions with season
- Simulated data and real data workflow have diverged too far and that affects testing HOT 1
- docker-compose up for api-service may failed and exited w/ code 127 HOT 2
- DockerFile.RbuildEnv failed with: The command '/bin/sh -c Rscript -e "devtools::install_version('forecast', version = '8.9', repos = "http://cran.us.r-project.org")" && rm -rf /tmp/*' returned a non-zero code: 1 HOT 5
- Simplify dbViewR::selectfromDB.R lines 84-101 HOT 1
- HTTPS support for the web API HOT 10
- appendCatchmentModel should have a site-location interaction term
- Bug in expandDB: broken handling of nested geographies
- latentFieldModel needs to include CDC_ILI in modeled field if used
- introduce more specific model types in incidenceMapR
- likely bug in priors for spacetime component
- Docker image out of date? HOT 1
- Install local incidence-mapper R packages during docker build? HOT 1
- Specific user access
- Development Environment doesn't support multiple users
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