tune_models: Train Machine Learning models to predict mRNA stability

In santiago1234/codonr: What The Package Does (one line, title case required)

Description

Evaluates a set of machine learning models, also perfoms hyperparameter tunning. I follow the same approach as in chapter 10 of Applied Predictive Modeling book. This function uses the datos_preprocessed training data for tunning,

Usage

tune_models(ncores = 32,
  output_dir_to_save_models = "results-trained-models")

Arguments

ncores	integer number of cores for parallel processing. set to the numbers of cores in your machine
output_dir_to_save_models	character: output directory to save trained models

Value

None, all the model if not trained will be saved to output_dir_to_save_models

Note

This function is computational expensive and it requires parallel processing

santiago1234/codonr documentation built on Dec. 9, 2019, 10:15 a.m.