tidypredict

tidypredict-package

<img src="figures/logo.png?package=tidypredict&version=0.4.3" align="right">
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.

internal

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.

Edgar Ruiz

Run Predictions Inside the Database

tidypredict-package function

<img src='figures/logo.png' align='right' />
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.

tidypredict-package: tidypredict: Run Predictions Inside the Database

Description

Arguments

See Also