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() and earth() models.
| Version: |
0.3.0 |
| Depends: |
R (≥ 3.1) |
| Imports: |
dplyr (≥ 0.7), rlang, purrr, knitr |
| Suggests: |
dbplyr, testthat, randomForest, ranger, earth, rmarkdown, nycflights13, RSQLite, methods, DBI, covr |
| Published: |
2019-01-10 |
| Author: |
Edgar Ruiz [aut, cre] |
| Maintainer: |
Edgar Ruiz <edgar at rstudio.com> |
| BugReports: |
https://github.com/edgararuiz/tidypredict/issues |
| License: |
GPL-3 |
| URL: |
http://tidypredict.netlify.com/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| In views: |
ModelDeployment |
| CRAN checks: |
tidypredict results |
Downloads:
Reverse dependencies:
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