.extract_rf_trees

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_rf_trees function

<dl><dt>model</dt>
<dd>A randomForest model object (regression)</dd></dl>

Arguments

Extract regression trees for randomForest models — .extract_rf_trees

<dl>

<dt>model</dt>
<dd>A randomForest model object (regression)</dd>

</dl>

.extract_rf_trees: Extract regression trees for randomForest models

Description

Usage

Arguments