tidypredict-package: tidypredict: Run Predictions Inside the Database
In tidypredict: Run Predictions Inside the Database
tidypredict-package R Documentation
tidypredict: Run Predictions Inside the Database
Description
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.
Author(s)
Maintainer: Emil Hvitfeldt emil.hvitfeldt@posit.co
Authors:
Edgar Ruiz edgar@posit.co
Max Kuhn max@posit.co
See Also
Useful links:
tidypredict documentation built on Aug. 24, 2026, 9:10 a.m.
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| tidypredict-package | R Documentation |
tidypredict: Run Predictions Inside the Database
Description
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.
Author(s)
Maintainer: Emil Hvitfeldt emil.hvitfeldt@posit.co
Authors:
Edgar Ruiz edgar@posit.co
Max Kuhn max@posit.co
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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