run_models: Run many models on train data
In BYUIDSS/HSPSModelR: Machine Learning Model Selection of Cognostic Data

Description Usage Arguments Value Author(s) See Also Examples

Generates list of models of class train

1 2	run_models(train_x, train_y, seed = 1, num_folds = 2, trim_models = TRUE, light = FALSE, prepro_methods = NULL)

`train_x`	data.frame or tibble of predictor variables
`train_y`	vector of target variable
`seed`	Integer. Seed for caretEnsemble::caretList()
`num_folds`	Integer. Number of folds.
`trim_models`	Logical. If TRUE, excess will be omited from models
`light`	'logical.' FALSE data will train on only 5 algorithms. if TRUE (default), data will train on all 68 models
`prepro_methods`	prepro_methods string or vector of strings of preprocessing methods. See also preProcess

This function returns a list of trained models:

"Dallin Webb <dallinwebb@byui.edu>"

caretList

## Not run: 

models_list <- run_models(train_x     = train_x,
                          train_y     = train_y,
                          seed        = 1,
                          num_folds   = 2,
                          trim_models = TRUE,
                          light       = TRUE)



## End(Not run)