model_train: Train model (wrapper)

In OptHoldoutSize: Estimation of Optimal Size for a Holdout Set for Updating a Predictive Score

Train model (wrapper)

Description

Train model using either a GLM or a random forest

Usage

model_train(train_data, model_family = "log_reg", ...)

Arguments

train_data	Data to use for training; assumed to have one binary column called Y
model_family	Either 'log_reg' for logistic regression or 'rand_forest' for random forest
...	Passed to function glm() or ranger()

Value

Fitted model of type GLM or Ranger

Examples

# See examples for model_predict

OptHoldoutSize documentation built on April 12, 2025, 1:34 a.m.