Generate the tuning grid for tuning hyperparameters

Generate the tuning grid for tuning hyperparameters

Usage

get_tuning_grid(hyperparams_list, method)

Arguments

hyperparams_list

Named list of lists of hyperparameters.

method

ML method. Options: c("glmnet", "rf", "rpart2", "svmRadial", "xgbTree").

• glmnet: linear, logistic, or multiclass regression

• rf: random forest

• rpart2: decision tree

• svmRadial: support vector machine

• xgbTree: xgboost

Value

The tuning grid.

Author

Begüm Topçuoğlu, topcuoglu.begum@gmail.com

Kelly Sovacool, sovacool@umich.edu

Examples

ml_method <- "glmnet"
hparams_list <- get_hyperparams_list(otu_small, ml_method)
get_tuning_grid(hparams_list, ml_method)
#>   lambda alpha
#> 1  1e-04     0
#> 2  1e-03     0
#> 3  1e-02     0
#> 4  1e-01     0
#> 5  1e+00     0
#> 6  1e+01     0