edgararuiz/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(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.4.8.9000 |
| URL | https://tidypredict.tidymodels.org https://github.com/tidymodels/tidypredict |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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