B Using ML helper function

load("data/ml_n_composite_object.rda", verbose = TRUE)
Loading objects:
  composite
  metabo_composite
  ml_genus_dsestate
  ps_df
  ml_genus_enttype
  ml_genus_nationality
  ml_genus_bmi

How do you know what are the different hyperparameter options are and what are the dafault values for the different modeling approaches

library(mikropml)

get_hyperparams_list(ml_genus_nationality, "glmnet")
$lambda
[1] 1e-04 1e-03 1e-02 1e-01 1e+00 1e+01

$alpha
[1] 0
get_hyperparams_list(ml_genus_nationality, "rf")
$mtry
[1]  6 12 24
get_hyperparams_list(ml_genus_nationality, "svmRadial")
$C
[1] 1e-03 1e-02 1e-01 1e+00 1e+01 1e+02

$sigma
[1] 1e-06 1e-05 1e-04 1e-03 1e-02 1e-01
get_hyperparams_list(ml_genus_nationality, "rpart2") # Decision tree
$maxdepth
[1]  1  2  4  8 16 30
get_hyperparams_list(ml_genus_nationality, "xgbTree") # XGBoost
$nrounds
[1] 100

$gamma
[1] 0

$eta
[1] 0.001 0.010 0.100 1.000

$max_depth
[1]  1  2  4  8 16 30

$colsample_bytree
[1] 0.8

$min_child_weight
[1] 1

$subsample
[1] 0.4 0.5 0.6 0.7