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(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.

Package details

AuthorMax Kuhn [aut, cre], Edgar Ruiz [aut]
MaintainerMax Kuhn <max@rstudio.com>
LicenseMIT + file LICENSE
URL https://tidypredict.tidymodels.org https://github.com/tidymodels/tidypredict
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the tidypredict package in your browser

Any scripts or data that you put into this service are public.

tidypredict documentation built on May 28, 2022, 1:06 a.m.