get_hyperparams_list: Set hyperparameters based on ML method and dataset...

In mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines

Set hyperparameters based on ML method and dataset characteristics

Description

For more details see the vignette on hyperparameter tuning.

Usage

get_hyperparams_list(dataset, method)

Arguments

dataset	Data frame with an outcome variable and other columns as features.
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

Named list of hyperparameters.

Author(s)

Kelly Sovacool, [e-mail]

Examples

get_hyperparams_list(otu_mini_bin, "rf")
get_hyperparams_list(otu_small, "rf")
get_hyperparams_list(otu_mini_bin, "rpart2")
get_hyperparams_list(otu_small, "rpart2")

mikropml documentation built on Aug. 21, 2023, 5:10 p.m.