caret_pre_model: Model set up for train function of package caret

In marjoleinF/pre: Prediction Rule Ensembles

Model set up for train function of package caret

Description

caret_pre_model is deprecated and provided for backwards compatibility only. The object provides a model setup for function train of package caret. It allows for tuning arguments sampfrac, maxdepth, learnrate, mtry, use.grad and penalty.par.val.

Usage

caret_pre_model

Format

An object of class list of length 17.

Details

Object caret_pre_model is deprecated, and only included in package pre for backward compatibility. Parameters of function pre() can be tuned by using method "pre" in caret's function train(). See vignette on tuning for more information and examples: vignette("Tuning", package = "pre")

Examples

## Object caret_pre_model is only included in package pre for backward compatibility
## By now, function pre can be optimized in the default way by using the method "pre" 
## in caret's function train(). More information and instructions on tuning parameters
## of function pre() are provided in the vignette about tuning, which can be accessed
## from R by typing:
##
## vignette("Tuning", package = "pre")
##

marjoleinF/pre documentation built on June 15, 2025, 1:21 a.m.