as_parsed_model

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

as_parsed_model: Prepares parsed model object

Description

Usage

Arguments