tidymodels/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.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.4.8.9000
URL https://tidypredict.tidymodels.org https://github.com/tidymodels/tidypredict
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tidymodels/tidypredict")
tidymodels/tidypredict documentation built on Nov. 3, 2020, 1:31 a.m.