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() and ranger() models.

Package details

AuthorEdgar Ruiz [aut, cre]
MaintainerEdgar Ruiz <[email protected]>
LicenseGPL-3
Version0.2.0
URL http://tidypredict.netlify.com/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("tidypredict")

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tidypredict documentation built on March 18, 2018, 2:23 p.m.