model_functions {cvms}

Examples of model_fn functions

Description

Examples of model functions that can be used in cross_validate_fn(). They can either be used directly or be starting points.

The update_hyperparameters() function updates the list of hyperparameters with default values for missing hyperparameters. You can also specify required hyperparameters.

Usage

model_functions(name)

Arguments

name

Name of model to get model function for, as it appears in the following list:

Name	Function	Hyperparameters (default)
"lm"	stats::lm()
"lmer"	lme4::lmer()	REML (FALSE)
"glm_binomial"	stats::glm()
"glmer_binomial"	lme4::glmer()
"svm_gaussian"	e1071::svm()	kernel ("radial"), cost (1)
"svm_binomial"	e1071::svm()	kernel ("radial"), cost (1)
"svm_multinomial"	e1071::svm()	kernel ("radial"), cost (1)
"naive_bayes"	e1071::naiveBayes()	laplace (0)

Value

A function with the following form:

function(train_data, formula, hyperparameters) {

⁠ ⁠# Return fitted model object

}

Author(s)

Ludvig Renbo Olsen, [e-mail]

See Also

Other example functions: predict_functions(), preprocess_functions(), update_hyperparameters()