tidypredict-package {tidypredict} | 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(), earth(), xgb.Booster.complete(), 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:
Report bugs at https://github.com/tidymodels/tidypredict/issues
[Package tidypredict version 0.5.1 Index]