var_imp_raw: Extract feature importance within models

In BYUIDSS/HSPSModelR: Machine Learning Model Selection of Cognostic Data

Description

Generates tibble of features ranked by importance by each model

Usage

var_imp_raw(models)

Arguments

models

List of models of class train

Value

This function returns a tibble of ranked features by model including columns:

• model

• feature

• Overall scaled score produced by caret::varImp()

• rank ordered rank within each model

Author(s)

"Dallin Webb <[e-mail]>"

See Also

varImp

Examples

## Not run: 

var_imp_raw(models_list)


## End(Not run)

BYUIDSS/HSPSModelR documentation built on May 10, 2019, 1:20 p.m.