Description Author(s) See Also
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.
Maintainer: Max Kuhn max@rstudio.com
Useful links:
Report bugs at https://github.com/tidymodels/tidypredict/issues
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