tidypredict (0.4.3)

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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.

Maintainer: Edgar Ruiz
Author(s): Edgar Ruiz [aut, cre]

License: GPL-3

Uses: dplyr, generics, knitr, purrr, rlang, tibble, DBI, RSQLite, earth, mlbench, randomForest, yaml, testthat, Cubist, partykit, nycflights13, xgboost, rmarkdown, covr, ranger, dbplyr, parsnip
Reverse suggests: modeldb

Released 5 months ago.

7 previous versions



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