private void SaveExcludedTrainingIDInfo() throws Exception {
ArrayList<String> excludedTrainingIDs =
Singletons.InstanceVault.GetCrossValidationAssignments().GetAllExcludedTrainIDs();
if (excludedTrainingIDs.size() > 0) {
String filePath = Settings.GetOutputSettingsDir(true) + "Excluded_Training_IDs.txt";
String output = ListUtilities.Join(excludedTrainingIDs, "\n");
FileUtilities.WriteLineToFile(
filePath,
"# IDs of data instances that were excluded randomly from training sets, according to the specified experiment settings. If this is a cross-validation experiment, the instances were removed from different folds.");
FileUtilities.AppendLineToFile(filePath, output);
}
}
/**
* This method saves various description files to the output. These tasks are quick to execute, so
* they are grouped together rather than parallelized.
*
* @throws Exception
*/
public void SaveExperimentDescriptionFiles() throws Exception {
// Save the version file in output so people know which version was used
FileUtilities.CopyFile(
Settings.VERSION_FILE, Settings.GetOutputSettingsDir(false) + Settings.VERSION_FILE);
// Copy the experiment file
FileUtilities.WriteLineToFile(
Settings.GetOutputSettingsDir(false) + "Experiment_Settings.txt",
"# All settings used in this experiment, whether explicitly set or used by default in the absence of an explicit setting");
FileUtilities.AppendTextToFile(
Settings.GetOutputSettingsDir(false) + "Experiment_Settings.txt",
Singletons.Config.toString());
if (Settings.NeedToClassify()) {
// Copy the algorithm configuration files
FileUtilities.CopyFile(
Settings.LEARNER_TEMPLATES_FILE,
Settings.GetOutputSettingsDir(false)
+ new File(Settings.LEARNER_TEMPLATES_FILE).getName());
// Copy the algorithm configuration files
FileUtilities.CopyFile(
Settings.CLASSIFICATION_ALGORITHMS_FILE,
Settings.GetOutputSettingsDir(false)
+ new File(Settings.CLASSIFICATION_ALGORITHMS_FILE).getName());
if (Settings.NeedToSelectFeatures())
FileUtilities.CopyFile(
Settings.FEATURE_SELECTION_ALGORITHMS_FILE,
Settings.GetOutputSettingsDir(false)
+ new File(Settings.FEATURE_SELECTION_ALGORITHMS_FILE).getName());
SaveExcludedTrainingIDInfo();
SaveCrossValidationAssignments();
}
}