.extract_rpart_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(), rpart(), earth(),
xgb.Booster.complete(), lgb.Booster(), catboost.Model(), cubist(), and
ctree() models.

Emil Hvitfeldt

tidypredict

Run Predictions Inside the Database

Edgar Ruiz

Max Kuhn

.extract_rpart_classprob function

<dl><dt>model</dt>
<dd>An rpart model object</dd></dl>

Arguments

Extract classprob trees for rpart models — .extract_rpart_classprob

<dl>

<dt>model</dt>
<dd>An rpart model object</dd>

</dl>

.extract_rpart_classprob: Extract classprob trees for rpart models

Description

Usage

Arguments