.extract_partykit_classprob

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.

Emil Hvitfeldt

tidypredict

Run Predictions Inside the Database

Edgar Ruiz

Max Kuhn

.extract_partykit_classprob function

Extract classprob trees for partykit models — .extract_partykit_classprob

Extract classprob trees for partykit models

.extract_partykit_classprob: Extract classprob trees for partykit models

Description

Usage

Arguments