build_nested_split_condition

Build a split condition expression for nested trees (left branch)

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

build_nested_split_condition function

<dl><dt>split</dt>
<dd>A split info list with col, val/vals, is_categorical</dd></dl>

Arguments

Build a split condition expression for nested trees (left branch) — build_nested_split_condition

<dl>

<dt>split</dt>
<dd>A split info list with col, val/vals, is_categorical</dd>

</dl>

build_nested_split_condition: Build a split condition expression for nested trees (left branch)

Description

Usage

Arguments