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.
- Version0.5
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release01/18/2023
Documentation
- VignetteCubist models
- VignetteGeneralized Linear Regression
- VignetteLinear Regression
- VignetteMARS models via the 'earth' package
- VignetteNon-R Models
- VignetteRandom Forest, using Ranger
- VignetteCreate a regression spec - version 2
- VignetteRandom Forest
- VignetteSave and re-load models
- VignetteDatabase write-back
- VignetteCreate a tree spec - version 2
- VignetteXGBoost models
- MaterialREADME
- MaterialNEWS
- In ViewsModelDeployment
Team
Edgar Ruiz
Max Kuhn
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- Imports7 packages
- Suggests17 packages
- Reverse Imports2 packages
- Reverse Suggests1 package