run_full_experiment: Run Full Experiment

In learnfin/learnfin: Statistical Learning Methods for Financial Decision Making

Description

This function helps to automate a series of experiments with predetermined parameters sets with the help of an xlsx file. An example file is given with the package on the GitHub page. Experiment results can be exported to RData and xlsx files with convenient file names.

Usage

run_full_experiment(data_set = "learnfin_ds_1", error_type = "ARPE",
  method = "kmeans", path_name = getwd(),
  file_name = "input_parameters.xlsx", randseed = 0,
  verbal_feedback = TRUE, export_raw_results = FALSE,
  export_folder = "results", summary_to_excel = FALSE)

Arguments

data_set	Name of the data frame to be used in quotes (not as an object).
error_type	Pricing error type. It can be ARPE, RPE, SE or APE.
method	Data mining method. It can be svm, cit, dt, kmeans or manual.
path_name	Path of the input parameter excel file. (Default: working directory getwd())
file_name	Name of the input parameter excel file.
randseed	Randomness seed for reproducibility.
verbal_feedback	Do you want to be informed during the progress? (Useful for long runs.)
export_raw_results	Should resulting data frames be exported as RData files?
export_folder	Result raw file export folder.
summary_to_excel	Should prediction error summaries automatically be exported to excel files?

learnfin/learnfin documentation built on May 20, 2019, 11:29 p.m.