model_functions: Examples of model_fn functions

In cvms: Cross-Validation for Model Selection

Examples of model_fn functions

Description

\Sexpr[results=rd, stage=render]{lifecycle::badge("experimental")}

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()

cvms documentation built on Sept. 11, 2024, 6:22 p.m.