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.
Version: | 0.5.1 |
Depends: | R (≥ 3.6) |
Imports: | cli, dplyr (≥ 0.7), generics, knitr, purrr, rlang (≥ 1.1.1), tibble, tidyr |
Suggests: | covr, Cubist, DBI, dbplyr, earth (≥ 5.1.2), methods, mlbench, modeldata, nycflights13, parsnip, partykit, randomForest, ranger, rmarkdown, RSQLite, testthat (≥ 3.2.0), xgboost, yaml |
Published: | 2024-12-19 |
DOI: | 10.32614/CRAN.package.tidypredict |
Author: | Emil Hvitfeldt [aut, cre], Edgar Ruiz [aut], Max Kuhn [aut] |
Maintainer: | Emil Hvitfeldt <emil.hvitfeldt at posit.co> |
BugReports: | https://github.com/tidymodels/tidypredict/issues |
License: | MIT + file LICENSE |
URL: | https://tidypredict.tidymodels.org, https://github.com/tidymodels/tidypredict |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | ModelDeployment |
CRAN checks: | tidypredict results |
Package source: | tidypredict_0.5.1.tar.gz |
Windows binaries: | r-devel: tidypredict_0.5.1.zip, r-release: tidypredict_0.5.1.zip, r-oldrel: tidypredict_0.5.1.zip |
macOS binaries: | r-devel (arm64): tidypredict_0.5.1.tgz, r-release (arm64): tidypredict_0.5.1.tgz, r-oldrel (arm64): tidypredict_0.5.1.tgz, r-devel (x86_64): tidypredict_0.5.1.tgz, r-release (x86_64): tidypredict_0.5.1.tgz, r-oldrel (x86_64): tidypredict_0.5.1.tgz |
Old sources: | tidypredict archive |
Reverse imports: | dbglm, modeldb |
Reverse suggests: | orbital |
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