tidypredict
Run Predictions Inside the Database
It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), rpart(), earth(), xgb.Booster.complete(), lgb.Booster(), catboost.Model(), cubist(), and ctree() models.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | tidypredict_1.1.0.tar.gz |
513.8 KiB |
1.1.0 |
rolling linux/noble R-4.5 | tidypredict_1.1.0.tar.gz |
513.7 KiB |
1.1.0 |
rolling source/ R- | tidypredict_1.1.0.tar.gz |
339.8 KiB |
1.1.0 |
latest linux/jammy R-4.5 | tidypredict_1.1.0.tar.gz |
513.8 KiB |
1.1.0 |
latest linux/noble R-4.5 | tidypredict_1.1.0.tar.gz |
513.7 KiB |
1.1.0 |
latest source/ R- | tidypredict_1.1.0.tar.gz |
339.8 KiB |
1.1.0 |
2026-04-26 source/ R- | tidypredict_1.1.0.tar.gz |
339.8 KiB |
1.1.0 |
2026-04-23 source/ R- | tidypredict_1.1.0.tar.gz |
339.8 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | tidypredict_1.1.0.zip |
568.8 KiB |
0.5.1 |
2025-04-20 source/ R- | tidypredict_0.5.1.tar.gz |
1.3 MiB |