tidypredict (0.4.2)

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Run Predictions Inside the Database.

https://tidymodels.github.io/tidypredict
http://cran.r-project.org/web/packages/tidypredict

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 3 days ago.


6 previous versions

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