Comments (7)
Could be worth integrating some ideas from this post by rOpenSci.
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Initial attempt at setting up a drat
archive is available here; still working out some minor issues.
update: All issues resolved.
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Probably best to set up the drat archive to update automatically using Travis -- vignette here.
from sl3.
Thanks Nima!
Should we merge it into main repo? For auto travis deployment (which is a really neat feature and a great reason to use drat repo), maybe we can just copy paste data.table set-up? https://github.com/Rdatatable/data.table/blob/master/.travis.yml
https://github.com/Rdatatable/data.table/blob/master/deploy.sh
Also, an interesting idea is a script for automated CRAN submissions:
https://github.com/Rdatatable/data.table/blob/master/CRAN_Release.cmd
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I'm not entirely confident that I put the drat archive together correctly. I can make the relevant changes for travis and deployment (and open a PR for master
). I sorta bypassed our PR system and pushed the drat to branch gh-pages
(if we turn on GitHub Pages for this branch then the package tar files should be available online via jeremyrcoyle.github.io/sl3) -- as we make changes (e.g., adding new release versions), we should open PRs for that branch.
I really like the idea of automated CRAN submissions -- we should look into this when we get closer to a CRAN release (and we'll have to edit the script that the data.table group uses a bit heavily).
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Any update on this issue?
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There is a drat-type repo currently set up under branch gh-pages
. I was thinking about how to automate the build process yesterday; will try to get this done this week.
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Related Issues (20)
- Allowed argument for earth not being passed appropriately HOT 1
- Error : No newoffset provided for prediction, yet offset used in fit of glmnet HOT 1
- R 4.0 dependency (stringsAsFactors) HOT 3
- Devel install error HOT 4
- When loading the sl3 package, this error gets reported... HOT 7
- Predicting from `Lrnr_sl` HOT 3
- Example for `Lrnr_cv_selector` is not working HOT 3
- Delayed learner fit does not yield same result as regular fit when `Lrnr_randomForest` is used HOT 1
- `Lrnr_cv` predictions broken HOT 2
- Stratify folds by sparse outcome - question HOT 3
- Using sl3 fits in tmle3 HOT 2
- Lrnr_glmnet bug HOT 1
- sl3 CV split with rare events HOT 1
- sl3 presentation on website currently returns 404 error HOT 1
- chain_fold not defined for Lrnr_base
- installation problem HOT 5
- subset_covariates does not successfully reorder covariates to match training structure
- SL Parallel processing for large dataset question HOT 3
- Feature request: fast way to make wrappers based on glm formula
- `test-gts.R` fails HOT 1
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