process_n_fold_cross_validation: Process n_fold cv

In ginnyintifa/PTMscape:

Description

Process the feature files with Liblinear training and prediction. Conduct n_fold cross validation with the files supplied.

Usage

process_n_fold_cross_validation(liblinear_dir, n_fold, feature_file_path,
  training_file_names, test_file_names, output_label, cvlog_path_name)

Arguments

liblinear_dir	Absolute peth of Liblinear tool.
n_fold	Number of folds used for training and prediction, default set to 2
feature_file_path	Absolute path of the feature files.
training_file_names	An Rds file containing the file names of the training feature data.
test_file_names	An Rds file containing the file names of the test feature data.
output_label	The string to tag the output files.
cvlog_path_name	The path and name of the log files, which hold the details of Liblinear procedures.

Details

This function call Liblinear library to perform n_fold training/prediction, the prediction score will be part of the output files.

Examples

process_n_fold_cross_validation(liblinear_dir = "/data/ginny/liblinear-2.11/",
                                n_fold = 2,
                                feature_file_path = "/data/ginny/test_package/",
                                training_file_names = "ps_0103_training_feature_names.Rds",
                                test_file_names = "ps_0103_test_feature_names.Rds",
                                output_label = "ps_0103",
                                cvlog_path_name = "/data/ginny/test_package/cvlog.txt")

ginnyintifa/PTMscape documentation built on Nov. 9, 2021, 10:39 p.m.